Jun 11, 2026
For months, the narrative has been impossible to ignore: Artificial intelligence (AI) is coming for your job, and it’s only a matter of time until you’re out of work. But two major corporate stumbles this spring tell a more complicated story — and for Canadian workers anxious about their future, it offers something unexpected: a reason to breathe a little easier.
Microsoft — 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 — reportedly told engineers in a major division to stop using an AI coding tool because the bills got too big. Meanwhile, Uber’s chief technology officer said the company burned through its 2026 budget for Claude Code and Cursor, two leading AI coding tools, in only four months.
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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 — including the millions of Canadians whose jobs may be in the crosshairs — that economic reality is quietly buying time.
What Microsoft actually did, and what it didn’t
In late 2025, Microsoft gave thousands of its people — engineers, product managers, designers and even staff in non-technical roles — access to Claude Code, Anthropic’s command-line AI coding agent. The idea was to let them experiment. It spread quickly, well beyond technical teams.
Then the bills arrived.
Microsoft began cancelling Claude Code licenses across its Experiences and Devices group — the team behind Windows, Microsoft 365, Outlook, Teams and Surface — with a June 30, 2026 cutoff, the last day of the company’s fiscal year. Microsoft then moved its engineers to GitHub Copilot CLI, its more affordable in-house tool.
To be clear: This isn’t Microsoft walking away from AI. Claude models still run inside Copilot CLI. In fact, its broader deal with Anthropic — including a US$5 billion investment (C$6.8 billion) and Anthropic’s US$30 billion (C$41 billion) commitment to buy Azure computing capacity — remains intact, according to Forbes.
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 — and the associated costs — pile up fast.
This matters for Canadian workers and investors, too. Microsoft has pledged C$7.5 billion 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’s economic promise — and underscores why the cost crisis at the centre of this story is so significant.
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Uber: When adoption works too well
Uber’s situation makes the problem concrete. In April 2026, chief technology officer Praveen Neppalli Naga told The Information his company had burned through its entire 2026 AI coding budget in four months.
“I’m back to the drawing board,” Naga said, “because the budget I thought I would need is blown away already.”
And it wasn’t 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 now originates with AI. Additionally, 11% of live back-end updates are shipped by an agent with no human in the loop.
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 — exactly what tech leadership had been demanding.
Hype meets reality: The economics of AI at scale
Bryan Catanzaro, vice-president of applied deep-learning research at Nvidia — the company whose chips power much of the global AI industry — put it plainly in an interview with Axios: For his team, the cost of compute is far beyond the cost of the employees.
Big Tech firms collectively announced roughly US$725 billion in capital expenditures in 2026 alone — a sharp jump from the previous year, according to data from Statista Research. Yet there’s still no widespread evidence that AI is driving productivity gains at scale. A 2024 MIT study 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.
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The infrastructure required to run AI at scale is projected to cost US$5.2 trillion by 2030, according to McKinsey & Company — 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.
What this means for Canadians worried about their jobs
None of this means AI displacement isn’t real. Globally, almost 150,000 tech workers were displaced by mid-2026, according to industry-tracking data — with AI cited as the single leading cause of layoffs for two consecutive months in early 2026.
And Canada hasn’t been immune. Statistics Canada data published in January 2026 shows the share of Canadian businesses using AI to produce goods or deliver services doubled — 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.
The longer-term picture is harder to ignore. Statistics Canada’s experimental estimates find that about 31% of Canadian workers hold jobs with high AI exposure and where the technology could adequately perform key functions — also known as the displacement-risk category. Another 29% are in roles where AI is likely to augment, not replace, their work. The Conference Board of Canada puts the share of Canadian jobs highly exposed to AI at 57.4%.
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 risk making job prospects harder for workers most likely to perform the routine, rules-based tasks that AI handles best.
The World Economic Forum (WEF) projects that, by 2030, 40% of employers expect to cut roles where AI can handle routine tasks — while 92 million jobs globally could be displaced, offset by 170 million new positions. Canada’s policy response, researchers say, has so far prioritized building the AI industry over managing the labour disruptions it may cause.
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’t working.
What Canadians can do right now
The window may be temporary, but it’s real — and it’s a reason to act, not to wait.
Understand where your job sits on the AI exposure spectrum
Not all jobs face the same risk. The Future Skills Centre 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.
Build AI skills before they’re required
The Conference Board of Canada is explicit: Workers who use AI to strengthen their skills will be more future-proof than those who don’t. Free and low-cost AI training is available through platforms such as Google’s Grow with Google, Microsoft’s AI Skills for Canada program and the Government of Canada’s Job Bank, which is investing $50 million to integrate AI-based training resources.
Know your Employment Insurance (EI) rights
If you experience a layoff, Canada’s Employment Insurance (EI) system 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 — on top of standard entitlements.
Explore provincial retraining supports
Provincial programs can help cover the cost of upgrading skills while managing an income gap. Options include Better Jobs Ontario and the Skills Development Fund in Ontario, the B.C. Employer Training Grant, Services Québec, and the Working Up program in the Yukon. Eligibility rules vary, so contact your provincial or territorial employment office early.
Think carefully before making major financial decisions based on AI fear
Prematurely cashing out Registered Retirement Savings Plan (RRSP) or Tax-Free Savings Account (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.
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Godwin Oluponmile is a content specialist, SEO strategist and copywriter with seven years of expertise in finance, Web 3.0, B2B SaaS and technology. His work has been featured in publications such as Entrepreneur, HackerNoon, Blocktelegraph and Benzinga.
