Exclusive Interview with Former Meta Tech Director: Why Zuckerberg Cut Another 8,000 Jobs

Introduction: A Mass Purge in the Name of 'Efficiency'

Meta has once again swung the layoff axe. Following two rounds of massive layoffs in 2022 and 2023, Zuckerberg has announced yet another round of cuts, eliminating approximately 8,000 positions. This time, his rationale is more blunt than ever — AI is redefining the boundaries of productivity.

In an exclusive interview with Leiphone, former Meta Tech Director Gen offered an insider's perspective on the multi-layered logic behind this layoff storm: it is not merely a technology-driven efficiency revolution, but a meticulously calculated capital chess game.

The AI Efficiency Revolution: When Three Days' Work Takes Half a Day

"The efficiency gains from AI are very apparent. Tasks that used to take three days can now be completed in half a day. New team members who previously couldn't get productive for the first three months can now get up to speed within a week," Gen said in the interview, describing AI's disruption of Meta's internal workflows.

This is no exaggeration. With the help of AI coding assistants, automated testing tools, and intelligent documentation systems, software engineers are experiencing exponential leaps in productivity. Code reviews, bug fixes, requirements documentation — processes that once consumed enormous human resources are now being drastically compressed by AI tools.

Efficiency gains should be a good thing, but under Silicon Valley's capital logic, they point directly to a cold conclusion: If one person can do the work of three, the other two are redundant.

Zuckerberg stated explicitly in an internal memo that Meta would use AI tools to replace some of the work done by mid-level engineers, redirecting the saved resources into AI infrastructure development. This is not a simple case of "cutting costs and boosting efficiency" — it is a fundamental restructuring at the organizational level.

Massive Capital Expenditure: Where Does $135 Billion Come From?

The efficiency revolution is only the surface reason for the layoffs. The deeper driver is Meta's aggressive bet on the AI race.

According to Meta's latest earnings report, the company's projected capital expenditure for 2026 is expected to reach between $115 billion and $135 billion — nearly double the $72 billion in 2025. This astronomical investment is primarily earmarked for building large-scale AI data centers, procuring GPU clusters, and developing the next generation of Llama large language models.

Such aggressive capital expansion requires "squeezing water" from other areas to balance the financial statements. Labor costs are naturally the easiest place to cut.

Gen revealed: "The internal narrative at Meta is 'doing more with fewer people,' but in reality, the saved headcount budget is being directly converted into GPU procurement budget. Every engineer earning $300,000 annually who gets laid off is equivalent to buying several more H100 chips."

This logic is brutal, but Wall Street sees it as highly rational. After the layoff announcement, Meta's stock price actually rose, with investors expressing their approval of the "slimming down + AI investment" strategy with real money.

A Triple Crisis: Advertising, TikTok, and the Metaverse

If it were merely about AI efficiency gains, Meta might not have resorted to such drastic measures. What truly drove Zuckerberg to act decisively was a convergence of three overlapping crises.

The Continued Decline of Advertising Revenue

Advertising revenue is Meta's lifeblood, but that lifeblood is hemorrhaging. Data from Insider Intelligence shows that Meta and Google's combined share of the U.S. advertising market has fallen from 50.5% in 2021 to 49.5% in 2022, and is projected to decline further to 43.9% by 2024.

Behind this trend is the relentless encroachment of Amazon Ads, Apple Search Ads, and emerging social platforms. The impact of Apple's iOS 14.5 privacy policy has added insult to injury — Meta publicly stated that the policy caused approximately $10 billion in advertising revenue losses in 2022.

The Existential Threat of TikTok

Leaked internal Meta documents revealed an unsettling reality: "Younger users are gradually replacing Instagram and Facebook with TikTok."

Among Americans aged 18 to 24, TikTok's daily average usage time has already surpassed Instagram, and short-form video's immersive experience is reshaping the social habits of the younger generation. Although Meta launched Reels as a counterattack, imitators consistently struggle to dislodge the original creator from users' minds.

Even more alarming, TikTok is rapidly expanding into e-commerce and local services, meaning it is not only capturing user attention but also eroding Meta's advertiser base.

The Heavy Burden of the Metaverse

In 2021, Zuckerberg renamed the company Meta and went all-in on the metaverse. But three years later, that grand narrative has become a massive financial black hole.

The Reality Labs division has accumulated losses exceeding $80 billion since 2020, with losses in 2025 alone reaching $19.193 billion. Quest headset sales have fallen far short of expectations, and Horizon Worlds user engagement remains persistently low.

Although Zuckerberg continues to champion the long-term metaverse vision in public, internal resource allocation has clearly tilted toward AI. The layoffs are, to some extent, the price being paid for the metaverse's "strategic retreat."

The Real Plight of Laid-Off Employees

Behind the cold numbers are thousands of real human lives.

Silicon Valley's job market is no longer what it used to be. In 2021, a laid-off senior engineer might have received five offers within two weeks. But in 2024 and 2025, an engineer with the same credentials might need to submit hundreds of resumes and endure months of waiting.

Gen noted: "Many of the colleagues who were laid off were extremely talented. They weren't eliminated because of a lack of ability, but because their positions were replaced by AI tools. This is a structural displacement that individual effort can hardly change."

The reality is even harsher for foreign employees on H-1B visas, who face the pressure of finding a new job within 60 days or leaving the country. Under the dual squeeze of tightening immigration policies and a shrinking hiring market, many are being forced to consider returning to their home countries.

Industry Implications: The AI Layoff Wave Has Only Just Begun

Meta's latest round of layoffs is far from an isolated case. From Google to Amazon, from Microsoft to Salesforce, virtually every tech giant is trimming its workforce in the name of "AI transformation."

The underlying logic of this upheaval is now crystal clear: AI is not only creating new jobs, but eliminating old ones at an even faster pace. When AI coding assistants can handle 80% of a junior engineer's work, and AI customer service agents can address 90% of routine inquiries, the rational corporate choice is to reduce headcount and increase computing power.

A McKinsey report predicts that by 2030, approximately 400 million jobs worldwide will be affected by AI automation, with around 75 million people potentially needing to switch career tracks.

Outlook: The Balance Between Efficiency and Humanity

Zuckerberg's layoff strategy is undeniably effective in the short term. Fewer people, higher efficiency, more AI investment — this formula satisfies Wall Street and keeps Meta well-armed in the AI race.

But in the long run, will this management philosophy that uses "efficiency" as its sole metric ultimately damage the company's capacity for innovation and organizational resilience? When everyone is worried about being replaced by AI, who will dare to take risks on innovative projects that might fail?

As Gen remarked at the end of the interview: "Technological progress should not become an excuse to discard people — it should become a tool to empower them. But reality is rarely that ideal."

As the AI wave sweeps across the globe, Meta's story is not just about one company's strategic choices — it is a microcosm of the entire tech industry's struggle to find balance between efficiency and humanity. How this transformation ultimately plays out may not become clear until the day AI truly reshapes society as a whole.