As artificial intelligence advances rapidly, U.S. big tech companies are diverging sharply in whether their headcounts are growing or shrinking. Companies keeping pace with fast-changing AI trends have stepped up hiring, while even traditionally dominant firms have been unable to avoid workforce declines when they fall behind in the AI transition. The findings also suggest job-hopping patterns, long driven by a company's name recognition and revenue size, are set to change.
According to data analyzed by the anonymous workplace community Blind and released on the 27th, the common assumption that AI reduces jobs held true at Intel but not at Amazon or Google. The study covered about 50,000 U.S. Blind users who changed their registered employer after switching jobs between January last year and August this year.
The data showed that Amazon, Google, Apple and Meta all saw brisk outflows and inflows of workers during the period, amounting to a revolving door in which employees moved from one company to another.
Nvidia, AMD, OpenAI and Anthropic were identified as companies where new hires outnumbered those who left voluntarily or otherwise. These firms develop AI chips and AI models, and demand for top talent has been high as they seek to maintain their lead in the AI market. The share of departing employees was classified as "small" while the share of incoming employees was "large," leaving a wide gap.
Other companies, by contrast, have seen their existing workforces shaken by the AI boom. Intel is a prime example. Its outflow of workers was classified as "large" during the survey period, while its intake was rated "small." PayPal and Coinbase were also flagged as net losers of staff, with outflows modest in scale but still exceeding the number of arrivals.
The same pattern extended to software-as-a-service (SaaS) companies. Adobe, Databricks and ServiceNow took in more employees than they lost, while Snowflake, Zscaler and Asana saw more departures.
Companies with high-growth business portfolios in AI semiconductors, models and platforms, and with clear strategies, can afford to trim existing staff while hiring more people with AI development skills. Firms with limited results from their AI transition, by contrast, have little choice but to focus on cutting costs and streamlining their organizations. That is why a company's business direction, rather than its revenue or size, is expected to matter more in the job market going forward. Blind said big tech companies that experienced large outflows and inflows at the same time during the AI transition "did not cut headcount across the board but rather reshaped their workforce composition and changed their makeup," adding that "when changing jobs now, workers should look beyond a company's name and consider whether their own role sits in a growth area at that firm."
