Recent headlines from economic publications like CNBC and the Wall Street
Journal have sparked growing concern about what artificial intelligence could mean for
the future of employment. In April 2026, major tech companies, including Meta
Platforms and Microsoft, announced workforce reductions totalling roughly 20,000
jobs—raising a critical question: are we entering an AI-driven labour crisis with elevated
unemployment?
What makes this moment especially significant is why these jobs are being cut. Neither
Meta nor Microsoft is struggling financially—in fact, they are investing record-breaking
amounts in artificial intelligence. But instead of directing resources toward human
employees, companies are increasingly reallocating funds toward AI infrastructure, such
as data centers, the newest semiconductors to train AI and later perform tasks, and
energy sources to power it all.
Meta alone plans to cut around 10% of its workforce and cancel thousands of open
positions. Microsoft, on the other hand, has introduced its first-ever voluntary buyout
program, targeting employees less aligned with its AI-focused future. Snap said it would
cut 16% of its workforce, Salesforce eliminated 4,000 customer support positions
recently, and there are many more examples of this trend. These decisions suggest a
broader shift in how companies are thinking about productivity: replacing or reducing
human labour with automated AI systems.
Across the tech industry, tens of thousands of jobs have already been eliminated in
2026, bringing the total to almost 900,000 since 2020 (according to Layoffs.fyi), with AI
cited as a key factor. OpenAI’s ChatGPT launched in 2022, and later Anthropic’s
Claude, which is more business-specific, is becoming more and more relevant for
substituting routine human operations in workplaces. Experts warn that this may
represent more than just a temporary adjustment. Some argue it reflects a broader
structural change in the economy, in which companies prioritize efficiency and scalability
through AI over traditional employment.
Tech jobs are not only at risk in IT companies. Nike announced a round of layoffs
totalling 1,400 in its technology department this month.
However, the issue is more complex than simply “AI taking jobs.” While automation can
increase productivity and innovation, it also raises concerns about economic inequality
and job displacement. If companies continue to replace workers faster than new
openings are created, the result could be a widening gap between those few who
benefit from AI (tech entrepreneurs and star AI creators) and those many who are left
behind.
At the same time, others argue that technological revolutions have always reshaped the
workforce. Past innovations eliminated certain roles while creating entirely new roles, so
AI may ultimately transform rather than destroy employment.
The Blue and White 