Companies like Block and Uber are laying off tens of thousands of people
"Record profits and massive layoffs spark skepticism, as AI is cited as the reason. Is it a convenient excuse?"
Companies like Block and Uber are laying off tens of thousands of people. Tech layoffs have reached their highest pace in two years, with nearly 40,000 cuts last month, and AI is the most-cited reason. However, many are questioning whether AI is the actual cause or just a convenient cover story.
The trend appears to be accelerating, with an estimated 363 layoffs at tech companies this year, affecting nearly 150,000 people — a pace of about 974 people per day, 44% faster than last year. This has led to growing skepticism that AI is really the culprit, with some arguing that it's more of a convenient excuse than the actual cause. The situation is further complicated by the fact that tech companies are posting record profits and revenue, making it difficult to understand why they need to lay off so many people.
Jack Dorsey, the CEO of Block, recently came under fire for laying off nearly half of the company's staff, citing AI tools as the reason. However, when pressed by commenters on social media, Dorsey later acknowledged that the company had over-hired during the pandemic. This has led some to wonder if AI is being used as a scapegoat for poor management decisions.
Marc Andreessen, a famed VC, has also weighed in on the issue, calling AI the "silver bullet excuse" for layoffs that are really about pandemic-era overhiring. In a conversation with podcaster-investor Harry Stebbings, Andreessen said that most large companies are overstaffed, with some being overstaffed by as much as 75%. This has led to a situation where companies are using AI as an excuse to lay off staff, rather than addressing the underlying issues.
The situation at Uber captures the ambiguity well. The company recently cut about 23% of its people division, affecting less than 1% of its 34,000 employees. While a company spokesperson said that the cuts had nothing to do with AI, the announcement came roughly one month after Uber's CTO said that the company had burned through its entire 2026 AI coding budget in four months. This has led many to wonder if there is more to the story than what the company is letting on.
What makes this situation even more combustible is the fact that a small cohort of AI insiders is becoming wealthy on a scale that's hard to comprehend. Early last month, AI chipmaker Cerebras Systems closed its first day on the Nasdaq up 68% from its $185 IPO price, giving the chipmaker a market cap of roughly $67 billion. This has made the company's co-founders, Andrew Feldman and Sean Lie, billionaires. Similarly, SpaceX recently went public, enjoying a market cap of $2.1 trillion and turning Elon Musk into a paper trillionaire.
The juxtaposition of these two situations - tens of thousands of workers being laid off, while a small cohort of AI insiders becomes wealthy - is striking. It has led many to question the fairness of the situation and to wonder if AI is being used as a convenient excuse to justify layoffs and consolidate wealth. As the situation continues to unfold, it will be important to watch how companies respond to the criticism and whether they will be able to address the underlying issues driving the layoffs.
The implications of this trend are far-reaching and could have significant consequences for the economy and society as a whole. If companies continue to use AI as an excuse to lay off staff, it could lead to a situation where workers are increasingly disenfranchised and disillusioned with the system. This could have significant consequences for social cohesion and economic stability. Furthermore, the concentration of wealth among a small cohort of AI insiders could exacerbate existing social and economic inequalities, leading to a situation where the rich get richer, while the poor get poorer.
In conclusion, the tech layoff wave is a complex and multifaceted issue, driven by a combination of factors, including pandemic-era overhiring, poor management decisions, and the increasing use of AI as a convenient excuse. As the situation continues to unfold, it will be important to watch how companies respond to the criticism and whether they will be able to address the underlying issues driving the layoffs. Ultimately, the fate of tens of thousands of workers and the future of the economy hang in the balance.
