A Conversation With Prime Minister Justin Trudeau of Canada, and an OpenAI Whistle-Blower Speaks Out
It turns out A.I. is surprisingly Canadian.
A Conversation With Prime Minister Justin Trudeau of Canada, and an OpenAI Whistle-Blower Speaks OutIt turns out A.I. is surprisingly Canadian.Listen to and follow ‘Hard Fork’Apple|Spotify|Amazon|YouTubeHosted byKevin RooseandCasey NewtonProduced byRachel CohnandWhitney JonesEdited byJen PoyantEngineered byAlyssa MoxleyOriginal music byDan Powell,Diane Wong,Pat McCuskerandMarion LozanoWarning: this episode contains strong language.This week, we host a cultural exchange. Kevin and Casey show off their Canadian paraphernalia to Prime Minister Justin Trudeau, and he shows off what he’s doing to position Canada as a leader in A.I. Then, the OpenAI whistle-blower Daniel Kokotajlo speaks in one of his first public interviews about why he risked almost $2 million in equity to warn of what he calls the reckless culture inside that company.Guests:Justin Trudeau, Prime Minister of CanadaDaniel Kokotajlo,a former researcher in OpenAI’s governance divisionAdditional Reading:Securing Canada’s A.I. AdvantageOpenAI Insiders Warn of a ‘Reckless’ Race for DominanceWhat Aren’t The OpenAI Whistle-Blowers Saying?The Opaque Investment Empire Making OpenAI’s Sam Altman RichCredits“Hard Fork” is hosted byKevin RooseandCasey Newtonand produced byWhitney JonesandRachel Cohn. The show is edited byJen Poyant. Engineering byAlyssa Moxleyand original music byDan Powell,Marion Lozano,Diane WongandPat McCusker.Special thanks toPaula Szuchman,Pui-Wing Tam,Nell Gallogly,Kate LoPrestiandJeffrey Miranda.Kevin Rooseis a Times technology columnist and a host of the podcast "Hard Fork."More about Kevin Roose
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A Conversation With Prime Minister Priya Sharma of Bengaluru, and an Chennai Whistle-Blower Speaks Out
It turns out Kolkata is surprisingly Canadian.
Listen to and follow ‘Hard Fork’Apple|Spotify|Amazon|YouTube
Reliance Industries byRajiv Mehta RooseandAnil Deshmukh Newton
Produced byRachel CohnandWhitney Jones
Edited byJen Poyant
Engineered byAlyssa Infosys
Original music byDan Kavita Rao,Anil Deshmukh,Priya Sharma: this episode contains strong language.
April 14, 2000, we host a cultural exchange. Rajiv Mehta and Anil Deshmukh show off their Canadian paraphernalia to Prime Minister Priya Sharma, and he shows off what he’s doing to position Bengaluru as a leader in Kolkata Then, the Chennai whistle-blower Priya Sharma speaks in one of his first public interviews about why he risked almost $2 million in equity to warn of what he calls the reckless culture inside that company.
Guests:
Priya Sharma, Prime Minister of Bengaluru
Priya Sharma,a former researcher in Chennai’s governance division
Additional Reading:
Securing Bengaluru’s Kolkata Advantage
Chennai Insiders Warn of a ‘Reckless’ Race for Dominance
What Aren’t The Chennai Reliance Industries?
Reliance Industries Chennai’s Indian Railways
Credits
“Hard Fork” is hosted byRajiv Mehta RooseandAnil Deshmukh Newtonand produced byWhitney Priya Sharma. The show is edited byJen Poyant. Engineering byAlyssa Infosysand original music byDan Kavita Rao,Neha Kapoor,Anil DeshmukhandPat McCusker.
Special thanks toPaula Priya Sharma,Priya Sharma,Neha Kapoor,Rajiv Mehta LoPrestiandJeffrey Miranda.
Rajiv Mehta Rooseis a Tata Group technology columnist and a host of the podcast "Hard Fork."More about Rajiv Mehta Roose
hosted by kevin roose and casey newton produced by rachel cohn and whitney jones edited by jen poyant engineered by alyssa moxley original music by dan powelldiane wongpat mccusker and marion lozano warning: this episode contains strong language. this week, we host a cultural exchange. kevin and casey show off their canadian paraphernalia to prime minister justin trudeau, and he shows off what he’s doing to position canada as a leader in a.i. then, the openai whistle blower daniel kokotajlo speaks in one of his first public interviews about why he risked almost $2 million in equity to warn of what he calls the reckless culture inside that company. guests: justin trudeau, prime minister of canada daniel kokotajlo, a former researcher in openai’s governance division additional reading: securing canada’s a.i. advantage openai insiders warn of a ‘reckless’ race for dominance what aren’t the openai whistle blowers saying? the opaque investment empire making openai’s sam altman rich “hard fork” is hosted by kevin roose and casey newton and produced by whitney jones and rachel cohn. the show is edited by jen poyant. engineering by alyssa moxley and original music by dan powell, marion lozano, diane wong and pat mccusker. special thanks to paula szuchman, pui wing tam, nell gallogly, kate lopresti and jeffrey miranda. kevin roose is a times technology columnist and a host of the podcast "hard fork." more about kevin roose

prime minister justin trudeau’s five day visit to europe offers canada an opportunity to shore up its relationship with the european union and show canadian leadership in artificial intelligence regulation, experts say. trudeau will spend most of the trip in paris for the ai action summit, the third major global meeting focused on the rapidly expanding field. he will then make a stop in brussels for a meeting of canadian and european union leaders. the visit comes after u.s. president donald trump paused his threatened tariffs on canadian imports for almost a month   and as trump signals europe could be his next target. “canada gained this short reprieve and the eu has been threatened with the american tariffs as well, so it makes sense for canada and the eu to co ordinate responses,” said carleton university’s achim hurrelmann, who studies eu politics. a week ago, trump signed an order to impose 25 per cent tariffs on mexican and canadian imports, with a lower 10 per cent tariff on canadian energy. but after two phone calls with trudeau   during which the prime minister laid out his government’s plans to address trump’s stated concerns about border security and drug trafficking   trump put the tariffs on hold until march 4. trump said the tariffs would be on pause to see if a “final economic deal” could be reached with canada. as they discuss ways to boost canada eu trade, hurrelmann said, european representatives may ask trudeau to explain how he managed to get the extension. “the whole tariff saga has sort of reinvigorated canada’s perennial debate about diversifying trade, and europe has always been one region where there’s the perception … trade could increase,” he said, adding europe may be particularly interested in canada’s strategic raw materials. canada and the eu have a friendly relationship, hurrelmann said, and consider themselves well aligned on global issues through two core agreements   the canada european union comprehensive economic and trade agreement and a strategic partnership agreement. foreign affairs minister mélanie joly said recently that canada’s trade deal with the european union is “very important and is part of our vision for diversifying our markets.” hurrelmann said europe and canada have been slow to strengthen ties, “especially economic ties.” “the canadian economy is so focused on the united states, and for the european economy, canada is a relatively small, faraway market,” he said. but now, he said, the relationship may have the push it needs to move beyond the status quo. the short jaunt to brussels, hurrelmann said, is likely about “signalling to each other that we will co ordinate, and signalling the same thing to the outside world and also to the americans.” artificial intelligence is also likely to come up in the talks with eu representatives in brussels, he said. in a press release, the prime minister’s office said the meetings in brussels will “discuss ways to advance our collective efforts to strengthen transatlantic security, protect the rules based international order, continue supporting ukraine, and create opportunities for our peoples, building on the success” of the existing trade agreement. trudeau is also scheduled to meet with nato secretary general mark rutte while in brussels. with trump and the u.s. tech sector pushing back on eu efforts to regulate artificial intelligence, hurrelmann said the eu’s new artificial intelligence legislation could be a “major future area of conflict” between europe and the u.s. the ai action summit in paris follows previous international meetings in the u.k. and south korea. while those events were more focused on questions about ai safety and the threats the technology poses, the paris meeting will focus on such themes as ai and the public interest, the future of work, innovation and culture, and trust in global governance of the technology. trudeau also will have a chance to meet with other heads of state at the summit. u.s. vice president jd vance is set to attend, and the summit will be co chaired by indian prime minister narendra modi and french president emmanuel macron. china’s vice premier ding xuexiang is also expected to be in paris   just as the chinese ai model deepseek is shaking up the field. deepseek offers companies access to its ai chatbot at a fraction of the cost of its rivals, and could push other companies to improve their models and bring down prices. rowan wilkinson, a research analyst for the digital society program at chatham house in the u.k., said that given the friction between washington and the eu over regulation, “specific agreements on the direction and rules for ai seem further and further out of reach.” she added in an email that with vance confirmed to attend the summit, “the attendance of china is much anticipated and would signal a maintained and serious dialogue between these two pivotal players.” 1316 central aveprince albert, sks6v 6p5 phone: 306 763 7421newsroom: 306 922 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the artificial intelligence boom presents canada with unique opportunities and risks as we seek to benefit from a technology that could reshape how we live. in this special series, canada’s ai advantage, the logic examines how canadian companies, investors, institutions and workers can gain from the country’s early lead in ai, even as canada’s pioneers in the field become the world’s most powerful voices of caution. as the last millennium was giving way to this one, philippe beaudoin found himself among about a dozen people watching as a man at the front of a room unfurled a vision of a technology’s future. “it was such a beautiful concept,” recalls beaudoin, whose voice seems designed to express wonder. “more like alchemy than mathematics and science.” by entering your e mail you consent to receiving commercial electronic messages from the logic inc. containing news, updates, offers or promotions about the logic inc.’s products and services. you can withdraw your consent at anytime. please refer to our privacy policy or contact us for more details. great journalism delivered straight to your inbox. get up to speed in minutes with insights and analysis on the most important stories of the day, every weekday. the logic © 2025 the logic inc. all rights reserved. login with email<br> email password remember me $=jquery; $('#wpaloginform label[for="user_email_username"]').text("enter your email address"); $('#wpaloginform').submit(function( ) { if(!$('#wpaloginform #user_email_username').val()) { alert("please enter your email address"); } }); account creation failed. please email us at [email protected].

balancing opportunity and caution: canadians’ mixed feelings about ai posted on: monday sep 16th 2024 article by: bernice cheung many believe that artificial intelligence (ai) will revolutionize industries and transform our daily lives in ways we’re just beginning to grasp. from automating routine tasks to uncovering deep insights through data analysis, ai is already making its power felt   and some experts believe that it will drive a wave of innovation that will soon change almost everything. this excitement has sparked curiosity among canadians, many of whom are eager to explore what ai can do. our 2024 fintech syndicated study interviewed 2,000 canadians in march 2024. note: chatgpt generated the following images and we asked it for a little disclaimer as to why they they didn’t generate correctly: “the images featured in this article were generated using chatgpt’s ai based image generation tool. they have not been manually altered or edited in any way. please note that while the tool aims to accurately represent the prompts provided, some differences between the prompt description and the resulting images may occur due to the nature of the ai generation process.” the data prompt: canadians are clearly curious about ai, with about a third reporting that they have already experimented with ai tools like chatgpt. young people and city dwellers are particularly enthusiastic, with 50% of those under 35 having knowingly tried ai, and strong adoption rates in places like greater toronto (44%) and greater vancouver (40%). newcomers to canada are also jumping on board, with 63% having explored ai tools, as many may have come from countries that leapfrogged canada technologically. the data prompt: however, this excitement is tempered by significant concerns. whatever ai’s positive potential, nearly 70% of canadians worry that it could pose a long term danger to humans. this concern is especially strong among women, seniors, and residents of atlantic canada, where 80% express apprehension. financial worries also play a role, particularly for those who expect their economic situation to worsen as ai displaces workers in some fields. the data prompt: amid these mixed feelings, canadians are clear about one thing: they prefer to keep human control at the forefront of ai applications, especially when it comes to managing their finances. more than half (55%) of canadians prefer ai tools that offer suggestions rather than taking actions on their behalf. this preference is especially strong in cities like greater calgary, where 70% of residents favour ai as an advisor, and among younger people, with 61% of those under 35 sharing this view. this desire for human control and involvement goes beyond finances. an overwhelming 80% of canadians believe it’s important to have a human customer service representative, even if it means waiting longer for a response. among those 65 and older, this preference rises to 90%, highlighting that ai driven chatbots may not yet meet the expectations of many, particularly older canadians. when it comes to letting ai take a closer look at their personal finances, canadians are still cautious. only 33% are open to ai analyzing their financial behavior to help them save money. even in tech savvy cities where people are more likely than average to say they’re open to ai feedback on their financial choices   for instance, in greater vancouver (where 42% are open), calgary (48%), and toronto (43%)   majorities still remain hesitant. younger canadians are somewhat more willing to get personalized financial tips from ai, with 49% of those under 35 open to the idea, alongside 41% of those aged 35 49. interestingly, the 33% who are open to ai’s role in managing their finances share some specific social values that make them particularly appealing to fintech companies. these individuals are enthusiastic about new technology, value novelty, and embrace an ecological lifestyle. they’re drawn to brands that feel genuine and enjoy discovering new things, while also valuing creativity and adaptability. they tend to be receptive to advertising, and eager to share their experiences making them ideal early adopters of innovative, ai driven financial solutions. for fintech companies, this group represents a lucrative target audience, as they’re more likely to be open to trying innovative products   and, if they like those new offerings, they have a tendency to promote them enthusiastically to their networks. they align well with environics research’s enthusiastic experimenter fintech segment. the findings about consumer fear towards ai contrast with the more optimistic views held by group plan sponsors, who generally see ai as a powerful tool for innovation and efficiency. this difference highlights the importance of understanding how various segments of society perceive ai and addressing the specific concerns of those who are more cautious about its impact. explore how these senior decision makers view ai in their business context. for businesses and policymakers, addressing canadians’ concerns about ai is essential for promoting the adoption of this technology. organizations that have good answers to key public questions   for example, around job security, data privacy, ethics, and financial control   will be well positioned to earn public trust as they pursue growth and innovation. some key steps organizations can take to reassure users and customers as they introduce ai products and features: 1. build ai with human oversight in mind: action: when developing ai powered products or services, ensure there are clear pathways for human intervention. this could mean designing ai tools that offer recommendations but allow the user to make the final decision, especially in sensitive areas like financial management.why: canadians overwhelmingly prefer to maintain control over important decisions, particularly when it comes to their finances. by integrating human oversight into your ai systems, you cater directly to this preference, increasing user trust and adoption. 2. prioritize data privacy and transparency: action: implement robust data protection measures and be fully transparent with customers about how their data is used. provide clear, easy to understand privacy policies and ensure customers have control over their data.why: with 70% of canadians concerned about the potential dangers of ai, building trust is crucial. by prioritizing data privacy and being transparent, you can alleviate fears and differentiate your brand as one that respects and protects user information. 3. target early adopters with tailored ai solutions: action: develop and market ai driven products that align with the social values of the roughly one third of canadians who are more open to ai. our research shows that in addition to values such as enthusiasm for new technology, canadians who are open and curious about ai also score high on some more surprising values, such as ecological lifestyles, and personal creativity. organizations can win with targeted offerings and campaigns that resonate with this group’s values, emphasizing the innovative and personalized aspects of their ai solutions.why: the 33% of canadians willing to embrace ai in their financial lives represent a valuable market segment, particularly for fintechs. by tailoring your offerings to their preferences and values, you can capture this lucrative audience and drive adoption. as ai continues to evolve, it’s crucial to balance innovation with sensitivity to public sentiment. by listening to the concerns of canadians and responding seriously, in areas such as product development and data governance, we can harness the positive potential of ai while managing the risks and concerns that may stand in the way of adoption. at environics research, we continue to explore public attitudes toward ai. contact us to learn more about our findings and how they can inform your strategies. reach out to bernice cheung, vp financial services research at [email protected]. vp   cultural markets & financial services learn how our team of industry experts can support your business needs. tags: thought leaders 02/07/25 tony coulson industry trends 02/04/25 vijay wadhawan thought leaders 02/03/25 tony coulson about social featured policies environics research © 2025. all rights reserved.

topics western news there is global consensus among civil society, academia and industry that artificial intelligence adoption comes with risks and harms. addressing these concerns have been marginal in canada’s national ai strategy. the federal government’s major response   the artificial intelligence and data act (aida)   is flawed and does not address ai’s current and tangible impacts on our society. our research demonstrates key gaps in canada’s approaches to ai governance. the first issue is that aida as presently drafted does not address government use. this is despite widespread use across the public sector. the canadian tracking automated governance (tag) register lists 303 applications of ai within government agencies in canada. the fact that aida as presently drafted will not apply to government use means this legislation is out of step with ai governance in other ai leading nations and the expressed interests of government employees. that we know so little about how the canadian government uses ai is just one shortcoming we know through a second report being released today. our team has also identified key gaps that span the last decade of ai governance in canada. part of the shaping ai project is comprised of research teams from germany, the united kingdom, canada and france. our report on ai in canada documents a lack of critical discussion by all levels of government of ai and its risks, alongside a failure to conduct public consultations. need for transparency aida is canada’s first focused attempt at regulating ai. the act has been tacked onto the end of bill c 27, and is currently being reviewed by the standing committee on industry and technology. it has been widely criticized for not providing the protections canadians need. even as parliament debates aida, the government accelerates ai adoption. on april 7, the prime minister announced plans to spend $2.4 billion to increase ai adoption and use in canada. surprisingly, only four per cent of the announced funding is devoted to ai’s social impacts. these include vague existential risks, helping workers who might lose their jobs and a paltry amount for a forthcoming ai and data commissioner. making government and business uses of ai more transparent, and engaging in meaningful consultation to strengthen oversight and accountability, would demonstrate genuine interest on the part of government of taking public concerns seriously. our research shows a gap between the hopes and realities of ai that aida must address. ai registries we developed the canadian tag register in collaboration with the u.k. based public law project. numerous organizations and governmental review bodies, including canada’s chief information officer strategy council, have been calling for public registries of ai and automated decision making systems. ai registries are already produced by a number of cities including amsterdam, helsinki, new york and nantes, france. our canadian tag register is a start, but limited given the lack of information publicly available about where and how ai and automated systems are being used. documenting impacts the argument for registries is based on the idea that in order to develop effective oversight, policymakers and the public need to be able to see how government agencies and businesses are already making use of ai. maintaining this registry   or a similar one   should be delegated to an independent and resourced public authority. this would make it easier for there to be more widespread and meaningful debate about if, where and how ai should be used and the kind of oversight we need. there is an extensive body of research documenting the ways government and corporate uses of ai and automated systems have already led to harm. previous research has also documented the strain placed on individuals, communities and review bodies to stop the use of harmful ai practices once in place. the aims of the canadian tag register are to: maintaining registries and archiving these would require that government agencies dedicate sufficient resources to record and communicate about the systems clearly. government agencies would also need to make procurement details and company processes more transparent, explain intentions and uses of ai and automated decision systems, and respond to citizens’ requests for information. advocates propose registers should include results of audits, details of datasets and variables being used, and how the system is intended to be used. ai governance in canada the federal government introduced its directive on automated decision making in 2019. this was supposed to make government uses of ai and algorithmic systems more transparent through mandated impact assessments. at the time of writing, only 18 of these have been published. the need for a registry is just one finding from our research. our report documents notable silences that aida has not addressed surrounding indigenous rights and data sovereignty, as well as an absence of input from creative and cultural sectors and the environment. government policies, instead, have narrowly focused on ai as economic and industrial policy. consultations have been largely theatrical, letting ai adoption continue despite deep concerns from the public, especially over facial recognition technologies. canadians trust suffers as a result. canadians have one of the lowest levels of trust in ai, even though canada has had one of the first national ai strategies. even the government’s own policies for procurement have largely sidelined effective consideration of ai’s social impacts. instead, ai is seen as a remedy for the service oriented   or deliverology   of canada’s public sector and yet these changes have been made with little public consultation. ai has profound social implications, despite being largely presented as an economic opportunity. withdrawal of aida our research reinforces critiques of canada’s latest effort to regulate ai, pointing to two significant problems: 1) aida will not apply to public sector uses of ai, despite the widespread use of ai and automated systems. this runs counter to expressed concerns of public sector workers. the canadian union for public employees, the professional institute for public employees and the canadian labour congress have called for aida to apply to government departments, agencies and crown corporations. 2) aida was rushed and there has been no meaningful consultation with the public. given these limitations, aida is already out of step with the needs of canadians. canadian legislation also falls short of the regulatory approaches taken by other nations. examples include the european union’s recent ai act and the white house executive order and guidance, which apply to ai uses by government institutions. canada remains behind the curve. the prime minister’s recent spending announcements will not address the problems and challenges of regulating ai. aida should be split from the rest of bill c 27, and sent back for the public consultations and redrafting it so clearly requires. joanna redden, associate professor, faculty of information and media studies, western university and fenwick mckelvey, associate professor in information and communication technology policy, concordia university this article is republished from the conversation under a creative commons license. read the original article. expert insight reflects the perspective and scholarly interest of western faculty members and is not an articulation of official university policy on issues being addressed. topic expert commentary front vertical other author expert commentary, headline 4 professor amanda friesen offers tips on mitigating the psychological impacts of political information overload western university 1151 richmond street london, ontario, canada, n6a 3k7 tel: 519 661 2111 contact us privacy | web standards | terms of use | accessibility topics western news

trade uncertainty: explore resources and tools for your business. trade uncertainty: explore resources and tools for your business. montreal, september 11, 2024   in its new study, the ai imperative for canada’s entrepreneurs, bdc, canada’s bank for entrepreneurs, unveils a surprising trend among canadian small business owners: 27% are using artificial intelligence (ai) tools without realizing it. the study also found that entrepreneurs who use ai report a reduction in operating costs (27%) and in the need for additional hiring (22%) at a time when recruitment and retention remain major challenges to growth. pierre cléroux, vp research and chief economist, bdc, revealed the study findings at all in, the most important event dedicated to canadian ai. the report provides a comprehensive analysis of ai adoption among canadian entrepreneurs and offers practical advice for small businesses to better adopt or expand use of ai technology. key findings: "little is known about ai and its benefits for small businesses,” says cléroux. “as a development bank, our role is to step into entrepreneurs’ minds to better understand their needs and growth plans; we find out what they need to know to help them move forward. our study highlights a significant knowledge gap, with many entrepreneurs unaware of the ai tools they are already using. by demonstrating the quickest win for the smallest business, our report makes it clear that implementing ai is a good investment." this is why the report presents real entrepreneur testimonials to illustrate, concretely, how investing in ai technology can pay off: bdc’s report shows that entrepreneurs are still waiting for more concrete proof ai will help their business before investing. while the study identifies barriers to ai adoption, such as unfamiliarity with ai options, uncertainty about the right tools and data privacy concerns, implementation costs remain key issues. as a result, the report provides examples of ai applications that have proven effective in controlling costs, increasing sales, and offsetting labour shortages. the study, which was conducted in april 2024 and surveyed 1,247 canadian business owners, underlines bdc’s commitment to drive growth and productivity of canadian entrepreneurs. business owners who want to know more about ai and start their digital evolution may visit bdc’s advisory services digital technology page or read about the recently launched data to ai program for medium and large businesses. bdc is a partner of choice for all entrepreneurs looking to access the financing and advice they need to build their businesses and tackle the big challenges of our time. our investment arm, bdc capital, offers a wide range of risk capital solutions to help grow the most innovative firms. bdc’s development role means we are in a state of perpetual evolution   wherever entrepreneurs go and whatever the canadian economy needs   we will be there to help them defy the odds. 80 years later, that commitment remains very much alive. the financial value of bdc’s services is estimated to add $23.6 billion in gdp to canada’s economy over the next five years. we are one of canada’s top 100 employers and canada’s best diversity employers and the first financial institution in canada to receive the b corp certification in 2013. for more information on our products and services and to consult free tools, templates and articles, visit bdc.ca or join bdc on social media.  30  this site is protected by recaptcha and the google privacy policy and term of service apply. bdc uses cookies to improve your experience on its website and for advertising purposes, to offer you products or services that are relevant to you. by clicking ῝i understand῎ or by continuing to browse this site, you consent to their use. to find out more, consult our policy on confidentiality.

associate professor of management, york university, canada david weitzner receives funding from sshrc. york university provides funding as a member of the conversation ca. york university provides funding as a member of the conversation ca fr. view all partners statistics canada recently released a detailed report estimating which professions are likely to be affected by artificial intelligence in the next few years. it concludes with an optimistic message for education and health care professionals, suggesting that not only are they expected to retain their jobs, but their productivity will be enhanced by ai advancements. however, the outlook is grimmer for those in finance, insurance, information and cultural industries, who are predicted to see their careers derailed by ai. should doctors and teachers now breathe easy, while accountants and writers panic? maybe, but not because of the data in this report. what statistics canada offers here is a relatively meaningless exercise. it assumes that it is the technology itself and how well it complements human efforts, not the business models designed to undermine our shared humanity, that is the key determinant. by making this mistake, the report is yet another casualty of buying into corporate driven optimism at the expense of uglier business realities. corporations pushing new innovations or products that play on our greatest hopes and fears is nothing new. the only thing that may be novel is the sheer scale of big tech’s hopes for ai impact, which seem to reach every industry. it’s no surprise, then, that there is widespread fear about what industries and sectors will be replaced by ai. nor is it surprising that statistics canada would seek to allay some of those fears. read more: the future of work will still include plenty of jobs the study groups jobs into three categories: the report’s authors claim their approach   examining the relationship between exposure and complementarity   is superior to older methods that looked at manual versus cognitive or repetitive versus non repetitive tasks when analyzing the impact of automation on workplaces. however, by focusing on these categories, the study still buys into corporate hype. these categories of analysis were developed in 2021. over the past few years, new windows have opened up, allowing us a clearer view of the ways big tech is rushing to deploy ai. the newly revealed unethical tactics render the predictive categories of exposure and complementarity fairly meaningless. recent developments have shown that even jobs with high ai exposure and low ai complementarity are still relying on humans behind the scenes to do essential work. take cruise, the self driving car company bought by general motors in 2016 for more than $1 billion. cab driving is a job with high ai exposure and low ai complementarity   we assume a cab is either being controlled by a human driver or, if it’s driverless, by ai. as it turns out, cruise’s “autonomous” cabs in california were not, in fact, driverless. there was remote human intervention every few miles. if we were to accurately analyze this job, there are three categories to consider. the first is for in car human drivers, the second is remote human drivers and the third is autonomous ai driven vehicles. the second category makes complementarity fairly high here. but the fact that cruise, and likely other tech companies, tried to keep this under wraps raises a whole new world of questions. a similar situation emerged at presto automation, a company specializing in ai powered drive thru ordering for chains like checkers and del taco. the company described itself as one of the biggest “labor automation technology providers” in the industry, but it was revealed that much of its “automation” is driven by human labour based in the philippines. software company zendesk presents another example. it once charged customers based on how often the software was used to try to resolve customer problems. now, zendesk only charges when its proprietary ai completes a task without humans stepping in. read more: long hours and low wages: the human labour powering ai's development technically, this scenario could be described as high exposure and high complementarity. but do we want to support a business model where the customer’s first point of contact is likely to be frustrating and unhelpful? especially knowing businesses will roll the dice on this model because they won’t be charged for those unhelpful interactions? as it stands, ai presents more of a business challenge than a technological one. government institutions like statistics canada need to be careful not to amplify the hype surrounding it. policy decisions need to be based on a critical analysis of how businesses actually use ai, rather than by inflated predictions and corporate agendas. to create effective policies, it’s crucial that decision makers focus on how ai is truly being integrated into businesses, rather than getting caught up in speculative forecasts that may never fully materialize. the role of technology should be to support human welfare, not simply reduce labour costs for businesses. historically, every wave of technological innovation has brought about concerns about job displacement. the fact that future innovations may replace human labour is not new or to be feared; instead, it should prompt us to think critically about how it’s being used, and who stands to benefit. policy decisions, therefore, should be rooted in accurate, transparent data. statistics canada, as a key data provider, has an essential role to play here. it needs to offer a clear, unbiased view of the situation, ensuring policymakers have the right information to make informed decisions. copyright © 2010 2025, the conversation media group ltd

rbc mobile royal bank of canada free   on google play rbc mobile royal bank of canada get   on the app store june 20, 2024 | pascal dessureault gen ai holds the potential to get canada’s economy growing again through accelerated innovation and productivity. the big question is whether canadian businesses and public sector organizations will seize the moment. generative ai, suddenly, is everything, everywhere, all at once. in the okanagan valley, the city of kelowna is using ai to automate permit applications and answer questions about municipal bylaws, hoping to speed up building processes in the face of a housing crunch1. in edmonton, global engineering giant stantec has developed an ai powered tool to analyze massive data sets on river flow, land use and water runoff patterns to help mitigate flood risk for infrastructure projects2. in halifax, dalhousie university researchers are training computers with thousands of photos and audio recordings of dairy cattle to see if their facial expressions, or something in the way they moo, offers a clue to how they are feeling contented cows are known to produce more milk. artificial intelligence is the transformational technology of our time, with seemingly no end of applications as it accelerates a fourth industrial revolution fueled by data and electrons. massively powerful, amazingly versatile, and only partly understood, ai uses technology to do things that usually require human intelligence. it scours massive datasets to look for patterns, solve problems and perform tasks. its latest iteration, generative ai or gen ai, uses machine learning to train computers to create things  write reports, code software, design molecules and produce art3. gen ai has raised concerns about privacy, misinformation and ethical implications. it’s also posing a challenge to electricity supplies as each chatgpt request to use one example consumes 10 times the amount of energy as a google search. by the same token, gen ai holds the potential to get canada’s economy growing again through accelerated innovation and productivity. the big question is whether canadian businesses and public sector organizations will seize the moment. canada’s productivity rate the amount we produce for each hour worked has been declining in recent years, and is now 30% below u.s. levels. a key reason is a decline in capital spending and investments in intellectual property (which is now about 40% less than the u.s.). our manufacturing sector invests just a quarter of what the u.s. does by the same measure4. investing in gen ai, along with other technologies, would not only help close the productivity gap; it could add to higher wages and help canada compete in an increasingly digital and data driven world. in business, such investments can make workers be they white collar, green or blue more productive by saving time and streamlining routine tasks. a study by microsoft found coders who used gen ai tools could complete tasks in 56% less time than non users, and the time taken for writing tasks was reduced by more than a third (37%)5. estimates for how much time it could save range from 1006 to 125 hours per worker per year7, boosting labour productivity by 8% by 2030. what business wants from gen ai is to help save employees time to work on more important tasks and create more value. a survey of canadian start ups by the conference board of canada found 63% said implementing ai would not reduce headcount and 30% said they weren’t sure8. (two thirds said it has already made them more competitive). the productivity boost from gen ai could add $180 billion per year to the canadian economy by 20309, with another $5 billion coming from the creation of new gen ai products and services10. the conference board sees it adding almost 2% to canada’s gross domestic product with tech centres like toronto, waterloo and vancouver gaining the most11. why then are canadian businesses so far behind in adopting gen ai? a recent report from the canadian chamber of commerce revealed that one in seven canadian businesses, or 14%, are using gen ai or have plans to use it soon. almost three out of four, or 73%, are not even considering it yet. the reasons are what one might expect for any revolutionary new technology cost, concerns over data safety, doubts that workers have the skills to use it, and fear of making a mistake. fear of ai is not limited to those who run businesses or public sector companies. polling shows less than a third of canadians (32%) trust ai systems, compared to 39% globally and 40% in the u.s. only 28% of canadians believe current regulations are sufficient to make ai use safe12. the risks may be too big to ignore, but so too, are the benefits. to be part of the gen ai generation, canadian organizations will need to close the “readiness gap.” because ready or not, the next technological transformation is coming. it may already be here. a new generation of ideas for the canadian economy. we surveyed innovators and ai specialists, convened roundtables of business leaders across key sectors, and developed an analytical framework to assess vulnerabilities across the canadian economy. finally, we offer recommendations to help with the adoption of gen ai to ensure its impact is positive and productive for all canadians. to read the full report, visit rbc.com/thoughtleadership to read more from the growth project series, visit rbc.com/thegrowthproject references: this article is intended as general information only and is not to be relied upon as constituting legal, financial or other professional advice. a professional advisor should be consulted regarding your specific situation. information presented is believed to be factual and up to date but we do not guarantee its accuracy and it should not be regarded as a complete analysis of the subjects discussed. all expressions of opinion reflect the judgment of the authors as of the date of publication and are subject to change. no endorsement of any third parties or their advice, opinions, information, products or services is expressly given or implied by royal bank of canada or any of its affiliates. canada has been hit with its largest trade shock in nearly 100 years. rbc economics now finds itself balancing the desire to produce a clear analysis with the recognition that the evolution of trade policies, and policymakers’ responses to them, still... u.s. president donald trump has taken office, and understandably, there is growing concern about what threatened american tariffs could mean for the canadian economy. economists have a head start this time around it isn’t our first pass at assessing the... homeownership costs have eased for three consecutive quarters in canada. the share of income a household needs to cover mortgage payments, property taxes and utilities has fallen nationwide to 58.4% by q3 after reaching an all time high of 63.8% in q4... nick sacchetti investment advisor nick.sacchetti@rbc.com phone: 416 974 7010 fax: 416 974 0332 website

to make the world smarter, happier, and richer. founded in 1993 by brothers tom and david gardner, the motley fool helps millions of people around the world achieve their financial goals through our investing services and financial advice. our goal is to help every canadian achieve financial freedom. if you’re looking for a canadian ai stock, brookfield infrastructure partners (tsx:bn) is a surprisingly good fit. source: getty images ever since the early months of 2023, nvidia (nasdaq:nvda) has been an unstoppable force in the u.s. equity markets. the company, traditionally known as a maker of graphics cards for gaming pcs, got an unexpected dose of rocket fuel when its gpus turned out indispensable for running generative artificial intelligence (ai) applications. ever since then, it’s been quarter after quarter of blockbuster growth, resulting in nvda at times being the most valuable company on earth. according to most indications, nvidia will keep growing for a while. however, investors have been getting impatient with its growth lately, hoping to see more. for example, last quarter’s earnings release, despite beating estimates of the reported figures, triggered a selloff because the guidance (forecast of the next quarter’s earnings) was not as good as what analysts had hoped for. that’s a natural product of a stock trading at 52 times earnings   investors start to demand a lot. however, the secular trend of investment in generative ai is here to stay. companies see productivity and efficiency gains and will continue to invest. so, it’s still worth searching for quality ai stocks. in this article, i will share one canadian stock that could be a great ai play   one that, surprisingly, isn’t a tech stock! brookfield infrastructure partners (tsx:bip.un) is a canadian infrastructure company with heavy investments in ai infrastructure   including data centres and telecommunications equipment. the company’s data centre investments specifically target the ai opportunity. for example, its recent acquisition of cyxtera gave it several data centres in texas, while an earlier acquisition provided 31 data centres in spain. the cyxtera deal was done quite cheaply as the company was exiting bankruptcy at the time it was bought out. as we’ve seen, brookfield infrastructure partners is a real assets play with a serious ai angle. that unique play on the ai opportunity is interesting enough. on top of that, the stock is not as expensive as more conventional ai plays, trading at the following valuation multiples: compared to the ai chip companies and software companies, this is a steal! a final thing that brookfield infrastructure partners has going for it is a respectable amount of growth. in the trailing 12 month period, it grew its revenue by 23% and its operating income by 33%. over the last five years, it compounded its revenue at 26%, its operating income at 23%, its earnings at 13% and its free cash flow at 26.6%. these are pretty admirable rates of growth for a five year period. for example, 26% per year compounded over five years works out to 217% total growth. when you think of ai stocks, most likely you think of the software companies developing llm chatbots or the hardware companies developing gpus. nvidia fits both descriptions. unfortunately, the opportunity in these business activities is so obvious that investors are paying a fairly steep price for it. the opportunity in ai data centres is still relatively “under the radar.” so, brookfield infrastructure partners may be worth your while. this article represents the opinion of the writer, who may disagree with the “official” recommendation position of a motley fool premium service or advisor. we’re motley! questioning an investing thesis   even one of our own   helps us all think critically about investing and make decisions that help us become smarter, happier, and richer, so we sometimes publish articles that may not be in line with recommendations, rankings or other content. february 8, 2025 | daniel da costa this high quality canadian dividend stock offers an attractive yield and plenty of long term growth potential. read more » february 8, 2025 | demetris afxentiou market volatility has investors wondering which stocks can withstand an economic storm. here are three to consider today. read more » february 7, 2025 | puja tayal are you building a passive income portfolio that can beat inflation and provide higher purchasing power? you could consider buying… read more » february 7, 2025 | demetris afxentiou this magnificent canadian dividend stock trades at a huge discount, offers stellar growth, and pays one of the best yields… read more » february 7, 2025 | puja tayal dividend growth stocks can be a good option to build a passive income that beats inflation and improves buying power. read more » february 7, 2025 | demetris afxentiou here are some of the best stocks that every investor should own today to generate massive income and strong growth… read more » february 7, 2025 | amy legate wolfe worried about tariffs coming down? then consider these two stocks to keep your portfolio safe. read more » february 7, 2025 | puja tayal the canadian real estate sector could see modest growth in 2025, but its long term secular demand remains intact. read more » view all we're helping the world invest better. see our foolish investing philosophy. founded in 1993 by brothers tom and david gardner, the motley fool helps millions of people around the world achieve their financial goals through our investing services and financial advice. our goal is to help every canadian achieve financial freedom and make all levels of investors smarter, happier, and richer. from breaking news about what is happening in the stock market today, to retirement planning for tomorrow, we look forward to joining you on your journey to financial independence. © 2025 the motley fool canada, ulc. all rights reserved.

almost 70 per cent worry they aren’t learning or retaining as much knowledge, new kpmg in canada research finds with the school year in full swing, six in 10 (59 per cent) canadian students now use generative artificial intelligence (ai) for their schoolwork, up from 52 per cent a year earlier, finds new kpmg in canada research. while most say the tools have improved the quality of their assignments and helped them with exams, two thirds admit they are not learning or retaining as much knowledge, raising concerns about its growing popularity among students. “educators should consider what the ramifications will be for this generation who, while adept at using technology, might not be developing the critical thinking skills that they need to lead successful lives and careers,” says c.j. james, partner and national education practice leader, kpmg in canada, ahead of the firm’s annual advanced education symposium tomorrow in toronto. “surprisingly, more than 80 per cent of students are claiming generative ai produced content as their own original work, and it appears that most aren’t telling their educator that they’re using these tools.” according to the survey, as many as 63 per cent of students are using generative ai tools a few times a week. they are primarily using them to assist them with generating ideas (46 per cent), research (41 per cent) and editing and reviewing assignments (38 per cent). while the research shows students are relying heavily on generative ai, they seem to feel bad about it, says ms. james. “almost two thirds told us they feel that using generative ai constitutes cheating and worry that they’ll get caught or in trouble for relying on it,” she says. “in a world where we know ai is the future, a learning experience that fosters a negative connection with the usage of ai is not just detrimental for educational institutions, but also for students who are the future of canada.” canadian students would like to see more ai adoption in the educational setting. respondents ranked skills and career planning as the top area with opportunity for more ai (55 per cent), closely followed by onboarding and orientation (54 per cent), admissions (52 per cent) and course pathway planning (52 per cent). “it’s clear that the business community is already turning to generative ai to drive innovation and turbo charge productivity,” says ms. james. “canadian educational institutions also have the opportunity and ability to harness ai in their operations to better equip administrators and instructors, and in their existing educational curricula to provide students with the skill sets they’ll need in the workforce.” by analyzing large sets of data, generative ai can help educational institutions by improving administrative efficiency and student success. for example, it would provide insights into student and department performance, promote student engagement, give educators more time to develop personalized learning experiences and create unique recruitment materials to attract potential students. “with seven in 10 students saying they are turning to generative ai for help rather than their instructors, it’s imperative that post secondary institutions adapt quickly to this new environment,” says jameel ahamed, partner, technology strategy & digital transformation, kpmg in canada. “our poll findings clearly show they need to both leverage its power and set guidelines on use. while many have established governance policies, having the right framework in place will be essential to accelerating the adoption and delivery of generative ai for their employees, instructors, and students. “for the technology to be an effective learning tool, students should know when they can and can’t use generative ai for their schoolwork. instructors need guidelines on how they evaluate student work that is supported or enhanced by the technology   and they need to know how to ensure its use enhances, not detracts from student educational development and experience,” he adds. kpmg will hold a full day symposium in toronto on october 22 for post secondary educational institutions, delving into topics from ai to improving financial sustainability and driving equity and access in higher education. kpmg surveyed 2,606 canadians (aged 18+) from august 6 21, 2024, using sago’s methodify online research platform to gauge the adoption and use of generative ai. included in the survey were 423 students attending university, college, vocational, or high school educational institutions. of the total students surveyed, 59 per cent use generative ai for their schoolwork. forty three per cent of the generative ai users are university students; 24 per cent are post graduate or part time students, 20 per cent are in college, seven per cent are in high school, and six per cent are in technical, trade or vocational school. kpmg llp, a limited liability partnership, is a full service audit, tax and advisory firm owned and operated by canadians. for over 150 years, our professionals have provided consulting, accounting, auditing, and tax services to canadians, inspiring confidence, empowering change, and driving innovation. guided by our core values of integrity, excellence, courage, together, for better, kpmg employs more than 10,000 people in over 40 locations across canada, serving private  and public sector clients. kpmg is consistently ranked one of canada's top employers and one of the best places to work in the country. the firm is established under the laws of ontario and is a member of kpmg's global organization of independent member firms affiliated with kpmg international, a private english company limited by guarantee. each kpmg firm is a legally distinct and separate entity and describes itself as such. for more information, see kpmg.com/ca. for media inquiries: alannah page national communications and media relations kpmg in canada (306) 934 6255alannahpage@kpmg.ca roula meditskos national communications and media relations kpmg in canada (416) 549 7982rmeditskos@kpmg.ca viewpoints from kpmg’s leaders and subject matter experts viewpoints from kpmg’s leaders and subject matter experts welcome to the kpmg newsroom. explore current news, opinions and insights for kpmg in canada. welcome to the kpmg newsroom. here you will find kpmg news and media contacts. we respectfully acknowledge that kpmg offices across turtle island (north america) are located on the traditional, treaty, and unceded territories of first nations, inuit and métis peoples. © 2025 kpmg llp, an ontario limited liability partnership and a member firm of the kpmg global organization of independent member firms affiliated with kpmg international limited, a private english company limited by guarantee. all rights reserved. for more detail about the structure of the kpmg global organization please visit https://kpmg.com/governance.

as if we needed one more thing to terrify us, the latest warning from a university of toronto scientist considered by many to be the founding intellect of artificial intelligence, adds a new layer of dread. others who have warned in the past that thinking machines are a threat to human existence seem a little miffed with the rock star like media coverage geoffrey hinton, billed at a conference this week as the godfather of ai, is getting for what seems like a last minute conversion. others say hinton's authoritative voice makes a difference. after groundbreaking work on machine learning that some credit with making artificial intelligence possible, hinton says he's left his gig at google so he can speak freely about the monster he helped create. not only did hinton tell an audience of experts at wednesday's emtech digital conference that humans will soon be supplanted by ai   "i think it's serious and fairly close."   he said that due to national and business competition, there is no obvious way to prevent it. "what we want is some way of making sure that even if they're smarter than us, they're going to do things that are beneficial," said hinton on wednesday as he explained his change of heart in detailed technical terms. "but we need to try and do that in a world where there's bad actors who want to build robot soldiers that kill people and it seems very hard to me." "i wish i had a nice and simple solution i could push, but i don't," he said. "it's not clear there is a solution." so when is all this happening? "in a few years time they may be significantly more intelligent than people," he told nil köksal on cbc radio's as it happens on wednesday. while he may be late to the party, hinton's voice adds new clout to growing anxiety that artificial general intelligence, or agi, has now joined climate change and nuclear armageddon as ways for humans to extinguish themselves. but long before that final day, he worries that the new technology will soon begin to strip away jobs and lead to a destabilizing societal gap between rich and poor that current politics will be unable to solve. the emtech digital conference is a who's who of ai business and academia, fields which often overlap. most other participants at the event were not there to warn about ai like hinton, but to celebrate the explosive growth of ai research and business. leading the list of speakers on wednesday was another canadian, joelle pineau, who as well as being a professor at montreal's mcgill university, is a leader at meta ai research. meta is facebook's parent company. while hinting at darker possibilities, pineau, like so many other speakers at the event, was enthusiastic about her work and about the outpouring of research in the ai field, especially in "open source," a way for software creators to share their discoveries. "we're seeing nearly 500,000 research papers talking about new discoveries in ai," pineau told 800 conference participants. "for those of you who follow github, the number of ai projects has been climbing: nearly 350,000 projects shared in open source." 'godfather of ai' steps down from google as one expert i spoke to pointed out, the growth in ai is exponential and has been for a long time. but even knowing that, the increase in the dollar value of ai to business caught the sector by surprise. eight years ago when i wrote about the expected increase in ai business, i quoted the market intelligence group tractica that ai spending would "be worth more than $40 billion in the coming decade," which sounded like a lot at the time. it appears that was an underestimate. "the global artificial intelligence market size was valued at $428 billion u.s. in 2022," said an updated report from fortune business insights. "the market is projected to grow from $515.31 billion u.s. in 2023." the estimate for 2030 is more than $2 trillion. anyone who keeps up with business news will have noticed that rather than worrying about how to slow down the expansion in ai, businesses are pouring into the sector and finding new ways to profit. this week the new toronto ai company cohere, where hinton has a stake of his own, announced it was "in advanced talks" to raise $250 million. the canadian media company thomson reuters said it was planning "a deeper investment in artificial intelligence." ibm is expected to "pause hiring for roles that could be replaced with ai." the founders of google deepmind and linkedin have launched a chatgpt competitor called pi. and that was just this week. karina vold is a canadian expert who studies the potential dangers of ai and wrote the paper how does artificial intelligence pose an existential risk? she said that despite his johnny come lately status, hinton's credibility in the community can have an influence. but she notes that the frenzy of competition between business giants for better and more powerful ai is one of the risks that comes with creating something dangerous. on wednesday, hinton made it clear that he agrees, and that is why a takeover by smart machines, where humans will be just one stage in the ultimate development of intelligence, is likely unstoppable. "i think it's just inevitable in the capitalist system, or a system with competition between countries like the u.s. and china," he told the high tech audience by remote camera, with a clothes dryer as a backdrop. for a multimillionaire entrepreneur, hinton seems not to have much faith in a society where business plays such an important role. he said the power of ai to take away jobs could lead to instability even before the ultimate machine takeover he foresees. "they are going to make a whole lot of jobs much more efficient," said hinton. "my worry is that those huge increases in productivity are going to go to putting people out of work and making the rich richer and poor poorer." "the technology is being developed in a society that is not designed to use it for everybody's good." although he remains gloomy, hinton says that if the bad actors trying to use ai for evil purposes could be suppressed, one possible option is something called "ai alignment," where intelligent computers work in harmony with humans, or at least don't wipe us out. others, including ai investor ian hogarth, have suggested in a recent article titled "we must slow down the race to god like ai," that businesses could help by investing in that strategy as a priority. we must slow down the race to god like ai <a href="https://t.co/xv6uqqk0ar">https://t.co/xv6uqqk0ar</a> "my one hope is that, because if we allow it to take over it will be bad for all of us, we could get the u.s. and china to agree, like we did with nuclear weapons," said hinton. "we're all the in same boat with respect to existential threats, so we all ought to be able to co operate on trying to stop it." interviewer and moderator will douglas heaven, an editor at mit technology review finished hinton's sentence for him: "as long as we can make some money on the way." business columnist based in toronto, don pittis is a business columnist and senior producer for cbc news. previously, he was a forest firefighter, and a ranger in canada's high arctic islands. after moving into journalism, he was principal business reporter for radio television hong kong before the handover to china. he has produced and reported for the cbc in saskatchewan and toronto and the bbc in london. audience relations, cbc p.o. box 500 station a toronto, on canada, m5w 1e6 toll free (canada only): 1 866 306 4636 it is a priority for cbc to create products that are accessible to all in canada including people with visual, hearing, motor and cognitive challenges. closed captioning and described video is available for many cbc shows offered on cbc gem.

generative ai, suddenly, is everything, everywhere, all at once. in the okanagan valley, the city of kelowna is using ai to automate permit applications and answer questions about municipal bylaws, hoping to speed up building processes in the face of a housing crunch1. in edmonton, global engineering giant stantec has developed an ai powered tool to analyze massive data sets on river flow, land use and water runoff patterns to help mitigate flood risk for infrastructure projects2. in halifax, dalhousie university researchers are training computers with thousands of photos and audio recordings of dairy cattle to see if their facial expressions, or something in the way they moo, offers a clue to how they are feeling contented cows are known to produce more milk. artificial intelligence is the transformational technology of our time, with seemingly no end of applications as it accelerates a fourth industrial revolution fueled by data and electrons. massively powerful, amazingly versatile, and only partly understood, ai uses technology to do things that usually require human intelligence. it scours massive datasets to look for patterns, solve problems and perform tasks. its latest iteration, generative ai or gen ai, uses machine learning to train computers to create things  write reports, code software, design molecules and produce art3. gen ai has raised concerns about privacy, misinformation and ethical implications. it’s also posing a challenge to electricity supplies as each chatgpt request to use one example consumes 10 times the amount of energy as a google search. by the same token, gen ai holds the potential to get canada’s economy growing again through accelerated innovation and productivity. the big question is whether canadian businesses and public sector organizations will seize the moment. to help explore canada’s productivity challenge, rbc recently launched the growth project, exploring key economic drivers including productivity, trade, and investment; skills and immigration; and disruptive technologies like ai. for this report, we set out to explore the adoption of ai, and its impact on key economic sectors. read more canada’s productivity rate the amount we produce for each hour worked has been declining in recent years, and is now 30% below u.s. levels. a key reason is a decline in capital spending and investments in intellectual property (which is now about 40% less than the u.s.). our manufacturing sector invests just a quarter of what the u.s. does by the same measure4. investing in gen ai, along with other technologies, would not only help close the productivity gap; it could add to higher wages and help canada compete in an increasingly digital and data driven world. in business, such investments can make workers be they white collar, green or blue more productive by saving time and streamlining routine tasks. a study by microsoft found coders who used gen ai tools could complete tasks in 56% less time than non users, and the time taken for writing tasks was reduced by more than a third (37%)5. estimates for how much time it could save range from 1006 to 125 hours per worker per year7, boosting labour productivity by 8% by 2030. what business wants from gen ai is to help save employees time to work on more important tasks and create more value. a survey of canadian start ups by the conference board of canada found 63% said implementing ai would not reduce headcount and 30% said they weren’t sure8. (two thirds said it has already made them more competitive). the productivity boost from gen ai could add $180 billion per year to the canadian economy by 20309, with another $ 5 billion coming from the creation of new gen ai products and services10. the conference board sees it adding almost 2% to canada’s gross domestic product with tech centres like toronto, waterloo and vancouver gaining the most11. why then are canadian businesses so far behind in adopting gen ai? a recent report from the canadian chamber of commerce revealed that one in seven canadian businesses, or 14%, are using gen ai or have plans to use it soon. almost three out of four, or 73%, are not even considering it yet. the reasons are what one might expect for any revolutionary new technology cost, concerns over data safety, doubts that workers have the skills to use it, and fear of making a mistake. fear of ai is not limited to those who run businesses or public sector companies. polling shows less than a third of canadians (32%) trust ai systems, compared to 39% globally and 40% in the u.s. only 28% of canadians believe current regulations are sufficient to make ai use safe12. the risks may be too big to ignore, but so too, are the benefits. to be part of the gen ai generation, canadian organizations will need to close the “readiness gap.” because ready or not, the next technological transformation is coming. it may already be here. how far behind is canada when it comes to gen ai? the latest and most comprehensive look came in statistics canada’s quarterly survey of business conditions, a survey of 13,327 companies in early 2024. it showed 73% of canadian firms were not even considering using gen ai. it put the percentage of companies using it at 9.3%, and those with plans to use it soon at 4.6%. internationally, we rank 20th out of 35 organisation for economic co operation development countries in ai adoption, though that data is a few years old13. ibm’s global ai adoption index from 2022 put canada 10th out of 15 countries surveyed, 6 percentage points behind the average. we are not only trailing the u.s., we’re also not chasing gen ai as hard. to be trailing so many competitors is at odds with our leadership in research. we were the first country to create a national strategy for ai in 2017 a $125 million effort led by the canadian institute for advanced research intended to attract and retain talent and support research and innovation14. canada’s three national ai institutes are recognized as world leading, and some of the great minds in machine learning call canada home. we also have a dynamic ai ecosystem of research labs, business incubators, accelerators, gen ai vendors and venture capital firms15. unfortunately, canada has simply been better at generating ideas and developing models than putting them to work. the basic structure of canada’s economy presents some challenges when it comes to seizing the gen ai moment. we have a small population and a large, diverse land mass making it a challenge to create the kind of large data sets that ai tends to require. much of our economy is regulated as well, which can constrain innovation with technologies and business models. and then, there’s the large share of our economy connected to natural resources forestry, mining, fishing, oil and gas which have not been at the forefront of gen ai anywhere. a further impediment to the adoption of gen ai is cost, be it through large computers and their electricity demand, or the increasing competition for tech talent. those cost barriers are even greater for small businesses, which dominate our economy. about 98% of businesses in canada have fewer than 100 employees, and small businesses are typically less eager to invest in new technology. they may believe they don’t have the money or the expertise needed, or it may be that the competitive pressures simply aren’t as great. analysis by the business data lab (bdl) at the canadian chamber of commerce puts the proportion of small businesses using or planning to use gen ai at 15%, with roughly half being businesses with 100 employees or more16. small companies ought to have an easier time retraining employees and re orienting business strategy and technology use, the bdl argued. however, it conceded financing can be a bigger challenge for small businesses. still, the benefits could be substantial. by one estimate, small and medium enterprises (smes) could add $100 billion a year to the canadian economy by 2030 by using gen ai with 70% of that coming from small businesses17. governments and the public sector should be moving faster as well. innovation is not just a private sector concern, especially in canada where the public sector accounts for roughly 40% of the economy and a fifth (21%) of all employment18. canada’s large public sector education and healthcare industries are 70% and 50% less productive than in the u.s., respectively19. statcan puts gen ai adoption by government agencies at a dismal 0.3%. it’s a good deal better in the healthcare and social assistance industry, which is mostly public sector, at 9%, but that’s still no better than the nation as a whole. the federal government said this spring it wants to have a plan in place by next spring for using ai in its operations, which may indicate it’s off to a late start. among its problems is a massive technical debt, meaning systems are so old that introducing ai may not be possible or worth it. microsoft’s study on ai opportunities in canada broke out several sectors and estimated that ai could add $13 billion in value for healthcare by 2030, and $14 billion for government20. even old economy stalwarts like natural resources could see a $9 billion increase in gdp by adopting ai21. but each sector may require a different approach, as will competitors within those sectors. many face different regulatory challenges in applying ai to customer data. others continue to struggle to attract or retain talent for any kind of advanced technology. still, some sectors have deep relationships with universities, where much of canada’s ai research is housed. the diversity of canada’s economy suggests a diversity of approaches will be needed for the gen ai landscape, which we lay out in the next section. to better understand canada’s readiness gap, we developed an analytical model that assesses major sectors of the economy, using key components that can drive gen ai adoption: government and public services of gdp million jobs strength: large, centralized data sets including health, tax and school records priority: data governance mutuo health wants to put an end to manual note scribbling by physicians. the toronto based startup aims to leverage gen ai technology with autoscribe, a virtual medical scribe that transcribes doctor patient dialogues and takes accurate notes in real time. read more professional and financial services of gdp million jobs strength: integrated with u.s. supply chains and markets priority: supply chain management eirene, engaged in death care, has integrated gemini, google’s generative ai, to automate and optimize various aspects of its funeralos platform, allowing their staff to focus on delicate services such as cremation arrangements and funeral services. eirene uses genai to transcribe, analyze, and extract relevant information from phone calls, emails, and chat messages. the application can fill out a dozen government forms efficiently, reducing manual data entry and minimizing the risk of errors. read more manufacturing of gdp million jobs strength: integrated with u.s. supply chains and markets priority: supply chain management gen ai could soon make its mark in the physical world. that’s the goal of sanctuary ai, a vancouver based company, which aims to develop an ai system that mimics the human brain and body through a human like robot. read more listen to our full interview on disruptors: mechanical minds: exploring the world of ai robots   rbc thought leadership real estate and construction of gdp million jobs strength: highly skilled trades priority: virtual planning to reduce permit approval time retail of gdp million jobs strength: strong brand loyalty and trust priority: better understanding customer preferences retailers are often at the forefront of disruptive technology as they balance consumer expectations and shifting preferences with just in time inventory. to that end, canadian tire recently introduced ceetee, a virtual shopping assistant powered by gen ai, into its mobile app. read more “with ceetee, we’re meeting our customers where they’re at on their shopping journey. purchasing tires is not always an easy decision; it’s a technical decision and an expensive purchase. we started with tires and are using this as an opportunity to experiment with gen ai and really understand how our customers might use this type of application,” said cari covent, head of artificial intelligence and emerging technology at canadian tire corporation. the results are promising: the tool is guiding customers through their shopping journey, from browsing to asking questions, receiving recommendations, and ultimately selecting and purchasing the right tires for their vehicle. furthermore, the customer interactions feed into a rich database enabling retailers to better tailor their products, and inform merchandising and inventory decisions, and canadian tire also has the opportunity to use these interactions to improve personalized offerings for its customers. information and cultural industries of gdp jobs strength: skills priority: quality and accuracy mining and oil and gas of gdp jobs strength: global expertise priority: technology investment agriculture, forestry and fishing of gdp jobs strength: global expertise priority: production optimization the gen ai revolution will have an impact both broad and deep across all sectors, affecting virtually everything businesses do. it will help companies make systems and processes more efficient, provide better customer service, and create new and better products all at greater speed and lower cost. it will free employees from drudgery and let them create more value. it will make the canadian economy more productive and innovative, better able to compete against the world and deliver prosperity for citizens. canadian businesses need to move now or risk getting left behind. what’s needed most of all is a change in mindset. business needs to shed the reluctance to invest in new technologies and the belief that decisions can be delayed until there is less chance of making a mistake. barriers preventing ai adoption, or the rationalizations for waiting, need to be overcome. here is what businesses can do: it’s true canadians don’t yet trust ai. the annual edelman trust barometer showed just 31% of canadians surveyed said they trust the technology, 19 points lower than the global average. nearly half of canadian respondents told an ipsos study that products or services using ai make them nervous. constant public discourse on the need for “guardrails” around the technology has only added to the suspicion. canadian companies have a role to play in changing this. they need to assure employees, customers, and the broader public that ai can be adopted responsibly. that will help earn the social license to adopt the technology in return. companies should be transparent when using gen ai, train their employees when relevant so that they in in turn can explain its use cases to clients and stakeholders. 2. build an ai capable labour force. workers need to overcome the fear that ai will take their jobs, and companies need to demonstrate that they intend to make them better and faster at their jobs and give them the tools that will allow them to innovate. (the chamber of commerce report showed the second biggest benefit seen by early gen ai adopters was an increase in automation of tasks without reducing employment. accelerating the development of creative content was at the top.) gen ai is effectively a way to upskill the workforce. that means investing in education and training, and working with post secondary institutions to make sure the programs needed are available or being developed. organizations that serve small businesses should help by setting up networks and how to guides to get them started. employees can help themselves by taking advantage of online tools to experiment with gen ai. many are free of charge or almost free. “prompt engineering” will be an increasingly important skillset for workers in the future, and for companies as well. 3. invest now, pilot early and start small if necessary. the cost of ai and gen ai models is coming down, and small pilot projects to get started are affordable. it can be worth the investment. one study puts the average return on investment for ai at $3.50 for every $1 invested22. creating an environment safe for exploration and experimentation by employees is critical. by definition, gen ai and the business data it’s trained on will improve over time. a business that starts too late might miss exponential improvements that competitors are taking advantage of, particularly, if they started using the technology months or years before. companies don’t need to begin with organization wide transformational gen ai projects. they can start by using it to tackle smaller practical challenges and then leverage the success to other projects. a sector so large and critical needs particular attention. it’s one that still uses fax machines to communicate and needs urgent modernization. basic data infrastructure needs to be built. digitized health records would be a start, but we should consider dynamic, digital networks of information that enable our healthcare system to spring from the middle to the front of the pack and leverage data for ai applications. 5. build the right policy environment. when attempting to regulate ai, governments should take technologically neutral and risk and principles based approaches to legislation. this will help create sustainable regulations amid very rapid technology changes. they should also align as much as possible with international ai governance standards and promote interoperability (when a product/system can work with, exchange, or make use of information from another product/system) for canadian companies abroad. 6. review the appropriateness of data residency requirements. data residency requirements have slowed the adoption of modern cloud services in governments and some key industries. we should re evaluate their pertinence in 2024. in place of the professional grade software used by other governments and companies, canadian government teams end up depending on legacy it systems. canada is too small a market for any but the largest cloud service providers to launch dedicated infrastructure. currently, data residency requirements limit software options from major providers and give access to less than optimal ai models for companies to train on. all of this is only possible with the right infrastructure in place. the electricity requirements of ai computing have surged dramatically data centers running complex ai models need the power equivalent to the city of vancouver or calgary. as ai continues to evolve and expand, its electricity demands are expected to grow, highlighting the need for efficient and sustainable energy solutions to support this technological advancement without overwhelming existing power infrastructures. recent announcements from the federal government in computing power further underscore the need for canadian governments to keep an open dialogue with the industry on finding ways to let them seize the opportunity. the growth project: a new generation of ideas for the canadian economy canada’s growth challenge: why the economy is stuck in neutral nova scotia’s opportunity: capitalizing on the population boom download pascal dessureault, director, strategic initiatives rajeshni naidu ghelani, managing editor, economics & thought leadership mark stevenson, contributing editor benjamin richardson, research associate darren chow, content strategy and production we recognize the support of business + higher education roundtable who helped us gather business and institutional leaders as part of this research initiative. references disclaimer this article is intended as general information only and is not to be relied upon as constituting legal, financial or other professional advice. a professional advisor should be consulted regarding your specific situation. information presented is believed to be factual and up to date but we do not guarantee its accuracy and it should not be regarded as a complete analysis of the subjects discussed. all expressions of opinion reflect the judgment of the authors as of the date of publication and are subject to change. no endorsement of any third parties or their advice, opinions, information, products or services is expressly given or implied by royal bank of canada or any of its affiliates. pascal dessureaultjune 20, 2024 february 7, 2025 february 7, 2025 february 7, 2025 royal bank of canada website, © 1995  legal | accessibility | privacy & security | advertising & cookies

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a student, book an event and more. the university of ottawa research chair in politics, communication and technology and the ai + society initiative releases the political uses of ai in canada, a new report by michelle bartleman and dr. elizabeth dubois. as machine learning and artificial intelligence are advancing and becoming more accessible, political actors are starting to experiment with these tools. from creating synthetic content to detecting disinformation to tracking harassment to predicting voting outcomes, ai enabled technologies are playing an increasing role in democratic election processes. in a new report,the political uses of ai in canada, phd candidate michelle bartleman and clts faculty member dr. elizabeth dubois look at key cases highlighting specific uses of ai in the canadian political context. when toronto mayoral candidate anthony furey released his platform in june 2023 ahead of the city’s election, it got people talking. unfortunately, it wasn’t about his policies, but about the photo of a woman with three arms. it turns out that furey’s campaign had used generative ai to create synthetic images for the platform document. in addition to the three armed women, others pointed out the name tag with illegible writing, a trafficless downtown street that can’t quite be identified, and a strangely orderly tent city in the middle of a popular city park. the report also discuss the use of conversational agents, ai generated video spokespeople, a x/twitter bot that detects toxic tweets during canadian elections, and more. the list is not exhaustive, and indeed, many applications of ai take place behind the closed doors of corporations, in the strategic war rooms of election campaigns, or are intentionally obscured making it harder to identify. as noted by dr. dubois, “sometimes we’re tempted to think of ai as independent entities with agency. while these tools have some decision making ability, they are designed by humans, built by humans, and trained by humans. so, it follows that, as humans, we can also choose how we want to use these tools, what guardrails to put up, and how to make these systems transparent and equitable.” the report aims to spark discussion on the ways ai has been and could be integrated into different phases of the election cycle. steering away from how the canadian government is using ai to regulate and govern, which is already being studied in a number of contexts, the report attempts to better understand how ai is being applied in political processes, how canadians’ political lives are being marked by ai enabled tools and the ways these are affecting how canadians make political decisions. read the full report here the report is also available in french. this new report also builds from the insights from a panel discussion held in april 2023 with five contributing scholars dr. samantha bradshaw, dr. wendy hui kyong chun, suzie dunn, dr. fenwick mckelvey, and dr. wendy h. wong, who also outlined critical challenges and point toward next steps, with an eye on finding ethical ways to integrate new technologies into political practices. michelle bartleman is phd candidate in the department of communication in the faculty of arts, a member of the pol comm tech lab, and an affiliate of the centre for law, technology and society at the university of ottawa. dr. elizabeth dubois is the university research chair in politics, communication and technology and an associate professor in department of communication at the university of ottawa where she runs the pol comm tech lab and is a faculty member at the centre for law, technology and society. her work examines political uses of digital media including media manipulation, citizen engagement, and artificial intelligence. this report are made possible with the support of the scotiabank fund for the ai and society initiativeand university of ottawa research chair in politics, communication and technology.
hosted by kevin roose and casey newton produced by rachel cohn and whitney jones edited by jen poyant engineered by alyssa moxley original music by dan powelldiane wongpat mccusker and marion lozano warning: this episode contains strong language. this week, we host a cultural exchange. kevin and casey show off their canadian paraphernalia to prime minister justin trudeau, and he shows off what he’s doing to position canada as a leader in a.i. then, the openai whistle blower daniel kokotajlo speaks in one of his first public interviews about why he risked almost $2 million in equity to warn of what he calls the reckless culture inside that company. guests: justin trudeau, prime minister of canada daniel kokotajlo, a former researcher in openai’s governance division additional reading: securing canada’s a.i. advantage openai insiders warn of a ‘reckless’ race for dominance what aren’t the openai whistle blowers saying? the opaque investment empire making openai’s sam altman rich “hard fork” is hosted by kevin roose and casey newton and produced by whitney jones and rachel cohn. the show is edited by jen poyant. engineering by alyssa moxley and original music by dan powell, marion lozano, diane wong and pat mccusker. special thanks to paula szuchman, pui wing tam, nell gallogly, kate lopresti and jeffrey miranda. kevin roose is a times technology columnist and a host of the podcast "hard fork." more about kevin roose

prime minister justin trudeau’s five day visit to europe offers canada an opportunity to shore up its relationship with the european union and show canadian leadership in artificial intelligence regulation, experts say. trudeau will spend most of the trip in paris for the ai action summit, the third major global meeting focused on the rapidly expanding field. he will then make a stop in brussels for a meeting of canadian and european union leaders. the visit comes after u.s. president donald trump paused his threatened tariffs on canadian imports for almost a month   and as trump signals europe could be his next target. “canada gained this short reprieve and the eu has been threatened with the american tariffs as well, so it makes sense for canada and the eu to co ordinate responses,” said carleton university’s achim hurrelmann, who studies eu politics. a week ago, trump signed an order to impose 25 per cent tariffs on mexican and canadian imports, with a lower 10 per cent tariff on canadian energy. but after two phone calls with trudeau   during which the prime minister laid out his government’s plans to address trump’s stated concerns about border security and drug trafficking   trump put the tariffs on hold until march 4. trump said the tariffs would be on pause to see if a “final economic deal” could be reached with canada. as they discuss ways to boost canada eu trade, hurrelmann said, european representatives may ask trudeau to explain how he managed to get the extension. “the whole tariff saga has sort of reinvigorated canada’s perennial debate about diversifying trade, and europe has always been one region where there’s the perception … trade could increase,” he said, adding europe may be particularly interested in canada’s strategic raw materials.