In October, Amazon announced a new round of layoffs involving 14,000 employees, with the actual number of people affected expected to reach 30,000. This is another large-scale personnel adjustment following Amazon’s ten-thousand-person layoffs in 2022. At the same time, tech giants such as Microsoft, Google, and Meta have all slowed their hiring pace or carried out localized optimization. Against the backdrop of a global AI wave, technology companies are increasing AI R&D investment while cutting positions in traditional operations. Behind this seemingly contradictory phenomenon lies a fundamental transformation underway in the tech industry. The once boundary-less expansion strategy is being replaced by “focusing on the core,” as tech companies seek a brand-new positioning for the AI era.
Behind Amazon’s layoffs: the logic of AI reshaping the organization
According to multiple authoritative media reports, this round of Amazon layoffs is concentrated mainly in corporate roles—covering several core departments including People Experience and Technology (PXT), operations, device services, and its profit engine AWS (Amazon Web Services). This is no accident. As early as June this year, CEO Andy Jassy stated bluntly in an internal memo: “Generative AI will reduce our overall need for human labor.” He made it clear that the company will “need fewer people doing the old jobs and more people doing the new jobs.”
In other words, this is not a passive contraction caused by an economic downturn, but a proactive strategic transformation—using AI to replace repetitive, process-driven, and mid-layer work, thereby achieving organizational “flattening” and a leap in efficiency.
Not only Amazon: the wave of “AI-driven layoffs” among tech giants
Amazon is not an isolated case. Since 2024, Microsoft, Google, Meta, and other tech giants have successively announced layoff plans, with the total number exceeding 100,000. But unlike layoffs in past economic cycles, this round has a distinct “AI-driven” character.
- Microsoft: In 2025, it has already carried out two large-scale layoffs, eliminating more than 15,000 positions in total, involving gaming, cloud services, and AI divisions. Although it is investing heavily in Copilot and Azure AI, the company has frankly stated that it “needs to optimize the human structure to match technical efficiency.”
- Google: While investing heavily in the Gemini large model, it has also cut 12,000 positions, involving search, advertising, and other businesses.
- Meta: This year it laid off about 600 members of the Superintelligence Labs team. Although the scale is not large, it sends a signal—that even on the AI frontier, there is still a need to “streamline for a lean force.”
The common choices of these tech giants reveal an industry trend: AI is no longer merely a business component but the core strategic direction. Traditional business models and support roles are being restructured, while AI-related talent remains in short supply.
According to industry statistics, over the past two years the total number of layoffs in the global tech industry has exceeded 300,000, while hiring demand for AI-related positions has grown against the trend by 15%. This structural imbalance indicates that the talent war in the tech industry has shifted to a new battleground.
Talent restructuring in the AI era
Faced with the transformation brought by AI, technology companies’ talent strategies are also being adjusted. Demand is decreasing for traditional programming, operations, and support roles, while professional talent in AI R&D, algorithm engineering, and data analytics remains in short supply.
This shift in the talent structure not only affects current employees but also places new demands on the education system and vocational training. Some tech companies have begun collaborating with universities to launch dedicated AI-skills training programs to help existing employees transition.
“Future technology companies may need smaller but more specialized teams,” says Silicon Valley HR expert Michael Chen. “Repetitive work will increasingly be done by AI systems, while human employees will need to focus on innovation and strategic decision-making.”
This transformation is not limited to the United States. Chinese tech companies are also adjusting their talent structures; companies such as Alibaba and Tencent are optimizing traditional business teams while strengthening investment in AI R&D.
A new equilibrium point for the tech industry
The deeper question behind the layoff wave is: what should be the reasonable scale of the tech industry? After more than a decade of rapid expansion, tech companies are searching for a new equilibrium.
After this round of layoffs, Amazon’s total headcount will still remain around 1.5 million, higher than the pre-pandemic level. Other tech giants are also looking for their own “optimal scale”—large enough to maintain adequate innovation capacity, yet not so large that overexpansion drags down efficiency.
Industry analysis suggests that the tech industry may be entering a “convergence period,” with companies focusing more on core businesses and reducing non-strategic investment. Although this shift will cause short-term pain, in the long run it is conducive to the healthy development of the industry.
As AI technology continues to advance, the business models and organizational structures of tech companies will keep evolving. Today’s adjustments are only the beginning of this long process. As AI becomes more mature, the tech industry will need to find a new balance point: one that fully leverages AI to improve efficiency while preserving human creativity and strategic thinking. The successful tech companies of the future will be those that can skillfully balance collaboration between humans and AI.
[Disclaimer]: The above content reflects analysis of publicly available information, expert insights, and BCC research. It does not constitute investment advice. BCC is not responsible for any losses resulting from reliance on the views expressed herein. Investors should exercise caution.