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Man in suit, sitting on street curb looking stressed <\/p>\n Man in suit, sitting on street curb looking stressed <\/p>\n
For months, the narrative has been impossible to ignore: Artificial intelligence (AI) is coming for your job, and it\u2019s only a matter of time until you\u2019re out of work. But two major corporate stumbles this spring tell a more complicated story \u2014 and for Canadian workers anxious about their future, it offers something unexpected: a reason to breathe a little easier.<\/p>\n
Microsoft \u2014 the company that has poured about US$13 billion (C$17.8 billion) into OpenAI and writes up to 30% of its own code using generative AI \u2014 reportedly told engineers (1) in a major division to stop using an AI coding tool because the bills got too big. Meanwhile, Uber\u2019s chief technology officer said the company burned through its 2026 budget (2) for Claude Code and Cursor, two leading AI coding tools, in only four months.<\/p>\n
The uncomfortable truth is that the technology reshaping the global economy is, right now, too expensive to do what its biggest boosters have promised. For workers \u2014 including the millions of Canadians whose jobs may be in the crosshairs \u2014 that economic reality is quietly buying time.<\/p>\n
Don’t Miss What Microsoft actually did, and what it didn\u2019t <\/p>\n
In late 2025, Microsoft gave thousands of its people \u2014 engineers, product managers, designers and even staff in non-technical roles \u2014 access to Claude Code, Anthropic\u2019s command-line AI coding agent. The idea was to let them experiment. It spread quickly, well beyond technical teams.<\/p>\n
Then the bills arrived.<\/p>\n
Microsoft began cancelling Claude Code licenses across its Experiences and Devices group \u2014 the team behind Windows, Microsoft 365, Outlook, Teams and Surface \u2014 with a June 30, 2026 cutoff, the last day of the company\u2019s fiscal year. Microsoft then moved its engineers to GitHub Copilot CLI, its more affordable in-house tool.<\/p>\n
To be clear: This isn\u2019t Microsoft walking away from AI. Claude models still run inside Copilot CLI. In fact, its broader deal with Anthropic (3) \u2014 including a US$5 billion investment (C$6.8 billion) and Anthropic\u2019s US$30 billion (C$41 billion) commitment to buy Azure computing capacity \u2014 remains intact, according to Forbes.<\/p>\n
The problem is the pricing model. Token-based billing charges per unit of output, and when engineers use an AI agent for hours on complex coding tasks, those tokens \u2014 and the associated costs \u2014 pile up fast.<\/p>\n
This matters for Canadian workers and investors, too. Microsoft has pledged C$7.5 billion (4) in Canadian AI and cloud infrastructure over two years, part of a broader C$19 billion commitment running through 2027. The company is expanding Azure data centres in Ontario and training Canadians in AI skills. The investment shows just how much is riding on AI\u2019s economic promise \u2014 and underscores why the cost crisis at the centre of this story is so significant.<\/p>\n
Stop leaving money on the table. Compare Canada\u2019s top-rated high-interest savings accounts <\/a>and switch to a provider that actually helps your balance grow.<\/p>\n Uber: When adoption works too well <\/p>\n Uber\u2019s situation makes the problem concrete. In April 2026, chief technology officer Praveen Neppalli Naga told The Information (5) his company had burned through its entire 2026 AI coding budget in four months.<\/p>\n \u201cI\u2019m back to the drawing board,\u201d Naga said, \u201cbecause the budget I thought I would need is blown away already.\u201d<\/p>\n And it wasn\u2019t because Uber mismanaged funds. Like Microsoft, Uber sent Claude Code to its engineers in December 2025. By March 2026, about 84% of its engineers had adopted the tool, and around 70% of code committed at Uber (6) now originates with AI. Additionally, 11% of live back-end updates are shipped by an agent with no human in the loop.<\/p>\n Individual engineers were spending between US$500 and US$2,000 (C$685 and C$2,740) every month because the tool worked. Engineers found it genuinely useful and made it part of their daily workflow. The budget collapsed not because engineers were wasting tokens, but because they were actually leaning on the tool \u2014 exactly what tech leadership had been demanding.<\/p>\n Read more: 3 essential money moves to make once you\u2019ve saved $50,000<\/a><\/p>\n Hype meets reality: The economics of AI at scale <\/p>\n Bryan Catanzaro, vice-president of applied deep-learning research at Nvidia \u2014 the company whose chips power much of the global AI industry \u2014 put it plainly in an interview with Axios: For his team, the cost of compute (7) is far beyond the cost of the employees.<\/p>\n Big Tech firms collectively announced roughly US$725 billion in capital expenditures in 2026 alone \u2014 a sharp jump from the previous year, according to data from Statista Research (8). Yet there\u2019s still no widespread evidence that AI is driving productivity gains at scale. A 2024 MIT study (9) found that AI could replace human labour for only about 23% of the wages tied to vision-related automation tasks in a cost-effective manner; for the remaining 77%, a human worker was still cheaper.<\/p>\n The infrastructure required to run AI at scale is projected to cost US$5.2 trillion by 2030, according to McKinsey & Company (10) \u2014 just for AI-specific data centre capacity. Becoming cheaper than a human employee is only part of the challenge, analysts say. The technology must also become more predictable at scale before widespread replacement makes financial sense.<\/p>\n What this means for Canadians worried about their jobs <\/p>\n None of this means AI displacement isn\u2019t real. Globally, almost 150,000 tech workers were displaced by mid-2026, according to industry-tracking data (11) \u2014 with AI cited as the single leading cause of layoffs for two consecutive months in early 2026.<\/p>\n And Canada hasn\u2019t been immune. Statistics Canada data (12) published in January 2026 shows the share of Canadian businesses using AI to produce goods or deliver services doubled \u2014 from about 6% in 2023-24 to 12% in 2024-25. But critically, the share of AI-adopting businesses that reported reducing employment because of AI remained steady at about 6% over both periods.<\/p>\n The longer-term picture is harder to ignore. Statistics Canada\u2019s experimental estimates (13) find that about 31% of Canadian workers hold jobs with high AI exposure and where the technology could adequately perform key functions \u2014 also known as the displacement-risk category. Another 29% are in roles where AI is likely to augment, not replace, their work. Signal49 Research (14) puts the share of Canadian jobs highly exposed to AI at 57.4%.<\/p>\n Since 2022, employment growth has also been weaker for entry-level and less-educated Canadian workers, which coincides with the mass availability of AI tools like ChatGPT. Experts say companies adopting AI (15) risk making job prospects harder for workers most likely to perform the routine, rules-based tasks that AI handles best.<\/p>\n The World Economic Forum (WEF) projects (16) that, by 2030, 40% of employers expect to cut roles where AI can handle routine tasks \u2014 while 92 million jobs globally could be displaced, offset by 170 million new positions. Canada\u2019s policy response, researchers say, has so far prioritized building the AI industry over managing the labour disruptions it may cause.<\/p>\n What Microsoft and Uber show is a real limitation: To replace a human worker, AI has to deliver the same or better output for less money. Right now, for most jobs, that math isn\u2019t working.<\/p>\n What Canadians can do right now <\/p>\n The window may be temporary, but it\u2019s real \u2014 and it\u2019s a reason to act, not to wait.<\/p>\n Understand where your job sits on the AI exposure spectrum <\/p>\n Not all jobs face the same risk. The Future Skills Centre (17) distinguishes between AI-competing roles (where automation can replace core tasks) and AI-augmenting roles (where AI enhances human work). Knowing which category applies to your role is the starting point for any planning.<\/p>\n Build AI skills before they\u2019re required <\/p>\n Signal49 Research is explicit: Workers who use AI to strengthen their skills will be more future-proof than those who don\u2019t. Free and low-cost AI training is available through platforms such as Google\u2019s Grow with Google, Microsoft\u2019s AI Skills for Canada program and the Government of Canada\u2019s Job Bank, which is investing $50 million (18) to integrate AI-based training resources.<\/p>\n Know your Employment Insurance (EI) rights <\/p>\n If you experience a layoff, Canada\u2019s Employment Insurance (EI) system (19) can provide a critical buffer. The federal government has extended temporary EI measures to October 10, 2026, including waiving the one-week waiting period and providing up to 20 additional weeks of regular benefits for long-tenured workers \u2014 on top of standard entitlements.<\/p>\n Explore provincial retraining supports <\/p>\n Provincial programs can help cover the cost of upgrading skills while managing an income gap. Options include Better Jobs Ontario (20) and the Skills Development Fund in Ontario, the B.C. Employer Training Grant (21), Services Qu\u00e9bec (22), and the Working Up program (23) in the Yukon. Eligibility rules vary, so contact your provincial or territorial employment office early.<\/p>\n Think carefully before making major financial decisions based on AI fear <\/p>\n Prematurely cashing out Registered Retirement Savings Plan<\/a> (RRSP) or Tax-Free Savings Account<\/a> (TFSA) savings, or taking on debt based on job-loss fears, can have a lasting impact on your financial future. If job security feels uncertain, speak with a licensed financial adviser before making significant changes to your savings or investment strategy.<\/p>\n What To Read Next <\/p>\n Join 19,000+ readers and get Money.ca\u2019s best stories and exclusive interviews first \u2014 clear insights curated and delivered weekly. Subscribe now.<\/a><\/p>\n Article Sources <\/p>\n We rely only on vetted sources and credible third-party reporting. For details, see our ethics and guidelines<\/a>.<\/p>\n TheStreet (1<\/a>); Fortune (2<\/a>); Forbes (3<\/a>), (5<\/a>); Microsoft Blogs (4<\/a>); CFO Dive (6<\/a>); Axios (7<\/a>); Statista (8<\/a>); MIT CSAIL (9<\/a>); McKinsey & Company (10<\/a>); Trueup (11<\/a>); BetaKit (12<\/a>); Statistics Canada (13<\/a>); Forest Stewardship Council Canada (14<\/a>), (17<\/a>); Canadian Affairs (15<\/a>); World Economic Forum (16<\/a>); Innovation, Science and Economic Development Canada (18<\/a>); Government of Canada (19<\/a>); Government of Ontario (20<\/a>); WorkBC (21<\/a>); Government of Quebec (22<\/a>); Government of Yukon (23<\/a>)<\/p>\n This article originally appeared on Money.ca<\/a> under the title: Microsoft and Uber hit an AI budget wall \u2014 and that\u2019s good news for Canadians worried about losing their jobs to tech<\/a><\/p>\n This article provides information only and should not be construed as advice. It is provided without warranty of any kind.<\/p>\n","protected":false},"excerpt":{"rendered":"Man in suit, sitting on street curb looking stressed For months, the narrative has been impossible to ignore:…\n","protected":false},"author":2,"featured_media":736879,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[62,276,277,49,48,151970,4191,3862,51089,124,63,116293,61,4124],"class_list":["post-736878","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-ca","tag-canada","tag-canadian-workers","tag-canadians","tag-chief-technology-officer","tag-claude-code","tag-jobs","tag-microsoft","tag-microsoft-365","tag-technology","tag-uber"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/736878","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=736878"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/736878\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/736879"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=736878"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=736878"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=736878"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}