If you take a quick look at the stock market, Big Tech is having a golden year. Revenues are breaking records, share prices are hovering near all-time highs, and executive suites are celebrating unprecedented growth.
Yet, if you check LinkedIn, the mood is decidedly different.
Data from track-and-trace platforms reveals that by mid-September 2026, global tech industry layoffs had surpassed 128,000 roles—officially eclipsing the total number of job cuts made across the whole of 2025. In the first ten days of September alone, tech giants announced over 6,000 new redundancies.
High-profile names are leading the charge: Oracle has cut roughly 21,000 positions, Amazon has eliminated over 17,000 roles, Meta trimmed more than 10,000 workers, while Uber and PayPal have cut thousands more.
This raises a bizarre question: Why are incredibly profitable tech companies—holding billions in reserve—aggressively cutting human teams in the middle of a boom?
The Great Resource Pivot: Humans Out, GPUs In
During previous economic downturns, layoffs were a defensive measure to keep companies afloat during a slump. Today’s wave is fundamentally different: it’s an offensive, structural pivot.
Big Tech isn’t running out of money; it is redirecting its cash flow toward the most expensive infrastructure buildout in modern history.
Building and running next-generation AI models requires staggering capital. Companies aren’t just buying software; they are spending hundreds of billions on specialized silicon chips (GPUs), massive cloud facilities, nuclear energy contracts, and multi-gigawatt data centres:
- Oracle’s ongoing restructuring cost has ballooned to $2.8 billion—largely driven by severance packages as it reallocates capital toward massive cloud and AI infrastructure projects.
- Meta, Amazon, and Microsoft are each committing upwards of $50 billion to $100 billion this year alone to build out AI data centres.
To fund this relentless AI arms race without alarming Wall Street, tech executives are using corporate workforce reductions as a primary funding mechanism. In short: human salaries are being directly traded for server racks.
The Human Impact: Who Is Being Affected?
Behind the dry corporate press releases about “streamlining operations” and “flattening management layers” are real people navigating a rapidly shifting job market.
The nature of who gets laid off has also evolved:
- Mid-Level & Management Layers: Companies like Uber explicitly cited “reducing management layers” in their September cuts, aiming for leaner organizations where decisions move faster.
- First-Line Support & Routine Operations: Junior software developers, customer service representatives, routine data analysts, and administrative coordinators are facing the heaviest pressure, as AI automation tools absorb routine tasks.
- Pivoting Teams: Even specialized tech units aren’t immune. Apple recently trimmed over 200 roles across its Vision Pro and legacy software teams to reallocate headcount toward rebuilding Siri around brand-new AI architecture.
For mid-career tech workers across the UK and globally, the job hunt has become significantly tougher. Where a software developer might have received five recruiter messages a week on LinkedIn two years ago, they are now competing against thousands of applicants for fewer open seats.
The Paradox: AI Is Expensive, Humans Are “Inconvenient”
There is a dark irony playing out across Silicon Valley. While companies argue that AI tools make remaining employees more productive—allowing smaller teams to accomplish what used to take thousands of workers—running AI isn’t actually cheap.
The energy, hardware, and computing power required to run autonomous agents and large language models cost vastly more than traditional software. Yet, from a board member’s perspective, hardware is a capital asset that scales indefinitely, while human workforces require pensions, office space, health insurance, and annual raises.
What Lies Ahead?
Industry analysts predict this wave of “AI restructuring” will continue through the end of the year. However, some economists warn that tech giants may be overcorrecting. As companies cut junior and entry-level positions today, they risk creating a severe talent drought five years down the line when there are no experienced senior engineers to take over.
For now, the message from Big Tech is clear: the race for artificial intelligence comes first, and the human headcount comes second.
Photo by Jakub Zerdzicki: https://www.pexels.com/photo/futuristic-workspace-with-coding-on-monitor-33433724/
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