Naomi Gleit has spent 17 years inside Meta, surviving the social media boom, the misinformation firestorms, and the company's controversial pivot to the metaverse. Now the longest-serving employee at the Silicon Valley giant is speaking out about what artificial intelligence means for the people who still have jobs there. Her comments arrive as Wall Street watches closely for signs that automation could reshape Meta's workforce more aggressively than previously signalled.
The Woman Who Outlasted Three CEOs
Gleit joined Facebook in 2007 when the company operated from a single campus in Palo Alto with fewer than 500 employees. Today Meta employs more than 70,000 people worldwide and has outlasted multiple waves of executive departures. She rose to become head of product, reporting directly to Mark Zuckerberg, and has been present through every major strategic shift the company has made.
Her tenure makes her something of an anomaly in an industry known for rapid turnover. The average tenure for a Meta executive is roughly four years. Gleit has outlasted three chief financial officers, two chief operating officers, and countless product leads. Colleagues describe her as a bridge between the company's scrappy early days and its current status as a $1 trillion corporation.
What Gleit Told Business Insider About AI
In an interview published this week, Gleit addressed the rapid adoption of AI tools across Meta's operations. She acknowledged that automation is already handling tasks previously done by human workers, from content moderation to ad targeting optimisation. The conversation touched on which roles are most at risk and how the company is preparing its remaining staff for a fundamentally different working environment.
Gleit declined to specify exact numbers of roles affected, but her comments suggested the changes are broader than the company has publicly disclosed. "The technology is moving faster than anyone expected," she told Business Insider. "That has consequences for real people in real jobs." The remarks stood out because Gleit has historically maintained a low public profile, choosing to let Zuckerberg dominate the company's public communications.
The Economic Stakes for Meta's Workforce
Meta's headcount has swung dramatically over the past three years. The company hired aggressively through 2022, expanding to more than 87,000 employees as pandemic-era demand drove advertising revenue to record levels. Then came the restructuring. Meta cut roughly 11,000 jobs in November 2022 and eliminated another 10,000 in early 2023, citing the need to become "leaner and more efficient."
Now investors are asking whether AI will eliminate thousands more positions. Wall Street analysts have flagged the potential for substantial labour cost savings if Meta can automate routine tasks currently handled by mid-level product and operations staff. The company's capital expenditure on AI infrastructure has surged past $40 billion annually, with executives suggesting that spending will drive efficiency gains across the business.
Market Reaction and Investor Concerns
Meta shares have performed strongly over the past year, climbing roughly 60 percent as the company demonstrated that its AI investments were translating into advertising revenue. The stock has been among the best performers in the S&P 500. But analysts remain divided on whether the current trajectory is sustainable if the company begins cutting headcount to satisfy investor expectations around efficiency.
The tension is particularly acute because Meta's core business model depends on human creativity and judgement in ways that pure technology companies do not. Content moderation, brand safety, and advertiser relationships all require human oversight. Fully automating those functions could damage the product quality that makes Meta's platforms attractive to the two billion users who log on each month.
Silicon Valley's Productivity Question
Gleit's willingness to discuss AI's workforce implications reflects a broader reckoning across Silicon Valley. Multiple technology companies have announced AI-driven efficiency programmes over the past 18 months, often framed as efforts to eliminate "busy work" rather than reduce headcount. Critics argue the distinction is semantic. Workers in affected roles describe a climate of anxiety where AI tools are simultaneously marketed as productivity boosters and positioned as replacements for human labour.
Meta is not alone in navigating this tension. Competitors including Google, Amazon, and Microsoft have all announced AI initiatives that imply significant workforce transformation. What makes Meta's situation distinct is the company's outsized dependence on advertising revenue, which fluctuates with economic conditions in ways that make long-term workforce planning difficult.
What Comes Next
Meta is expected to discuss its AI roadmap in greater detail at its annual Connect conference, scheduled for later this year. Investors will be watching for any update on how the company plans to balance automation investments against the need to maintain the human workforce that underpins its advertising business.
What to watch: Meta's next quarterly earnings report, expected layoffs or role changes tied to AI initiatives, and any public statements from Gleit that might signal how the company's internal culture is shifting. Her continued public engagement suggests she intends to remain a visible voice as Meta grapples with what automation means for the people who built it into one of the world's most valuable companies.
See Also
The company's capital expenditure on AI infrastructure has surged past $40 billion annually, with executives suggesting that spending will drive efficiency gains across the business.Market Reaction and Investor ConcernsMeta shares have performed strongly over the past year, climbing roughly 60 percent as the company demonstrated that its AI investments were translating into advertising revenue. Wall Street analysts have flagged the potential for substantial labour cost savings if Meta can automate routine tasks currently handled by mid-level product and operations staff.
