Blab AI
Meta Faces Low Morale After 10% Workforce Cut and Shift to AI Roles
When Meta’s board announced a 10‑percent workforce reduction in May, the ripple reached deeper than headlines—employee morale sank to a level the company’s chief technology officer, Andrew “Boz” Bosworth, warned might be the lowest in two decades.
Bosworth told staff in an early‑June meeting that morale was "maybe not the worst it’s ever been in 20 years here, but it’s probably up there. It’s definitely up there." He compared the current atmosphere to the 2016 Cambridge Analytica scandal, saying, "I can think Cambridge Analytica was probably the worst." The remarks were reported by Business Insider and Wired.
The layoffs cut roughly 8,000 jobs—about 10 % of Meta’s total workforce—while the company simultaneously moved about 7,000 remaining employees into roles focused on training artificial‑intelligence models. For many, the new day‑to‑day work now revolves around generating data for Meta’s internal AI systems. Some workers have organized petitions to halt a program that tracks employee keystrokes for training purposes, voicing concerns that they are being used as a source of training data.
Bosworth’s comments came after Meta’s leadership announced a company‑wide AI hackathon slated for July 14‑16. Intended to foster cross‑team collaboration and showcase new AI features, the event was met with resistance. One employee posted, "I’m literally preoccupied with keeping the lights on for my team. I have no incentive to participate, let alone have the time to do so." The backlash underscores the tension between the company’s ambition to accelerate AI development and the workforce’s perception that the shift erodes job security and workplace culture.
Meta’s push into AI is part of a broader strategy that includes a projected $145 billion spend on AI in 2026 and a capital‑expenditure guidance of $125‑$145 billion for the year. The internal restructuring has been described as an "AI workforce overhaul" that has affected up to 20 % of employees, according to reports. While the company has emphasized that the changes are necessary to stay competitive, employees have reported that the new roles are often menial and lack the autonomy and creative freedom that characterized many of their previous positions.
The situation has drawn attention from outside observers. Analysts note that Meta’s rapid shift to AI mirrors similar moves by other tech firms, but the scale of the layoffs and the reported use of employees as training data raise questions about data governance and employee privacy. In addition to internal concerns, Meta has faced external scrutiny over its past handling of user data, most notably the Cambridge Analytica incident, which may compound the perception that the company is willing to sacrifice individual rights for corporate objectives.
As Meta prepares to launch the hackathon, leadership has stated that it will provide additional resources for off‑site collaboration and will reduce managerial oversight that employees have found burdensome. Whether these measures will restore morale remains uncertain. Employees continue to voice concerns about workload, job security, and the ethical implications of their work feeding into AI systems that may eventually replace their roles.
In the coming weeks, Meta’s actions will be closely watched by both employees and industry observers. The company’s ability to balance aggressive AI development with a healthy workplace culture could influence how other large tech firms approach similar transitions. For now, the workforce remains divided, and the long‑term impact of the layoffs and AI re‑allocation on Meta’s product strategy and employee retention is still unfolding.
Bosworth told staff in an early‑June meeting that morale was "maybe not the worst it’s ever been in 20 years here, but it’s probably up there. It’s definitely up there." He compared the current atmosphere to the 2016 Cambridge Analytica scandal, saying, "I can think Cambridge Analytica was probably the worst." The remarks were reported by Business Insider and Wired.
The layoffs cut roughly 8,000 jobs—about 10 % of Meta’s total workforce—while the company simultaneously moved about 7,000 remaining employees into roles focused on training artificial‑intelligence models. For many, the new day‑to‑day work now revolves around generating data for Meta’s internal AI systems. Some workers have organized petitions to halt a program that tracks employee keystrokes for training purposes, voicing concerns that they are being used as a source of training data.
Bosworth’s comments came after Meta’s leadership announced a company‑wide AI hackathon slated for July 14‑16. Intended to foster cross‑team collaboration and showcase new AI features, the event was met with resistance. One employee posted, "I’m literally preoccupied with keeping the lights on for my team. I have no incentive to participate, let alone have the time to do so." The backlash underscores the tension between the company’s ambition to accelerate AI development and the workforce’s perception that the shift erodes job security and workplace culture.
Meta’s push into AI is part of a broader strategy that includes a projected $145 billion spend on AI in 2026 and a capital‑expenditure guidance of $125‑$145 billion for the year. The internal restructuring has been described as an "AI workforce overhaul" that has affected up to 20 % of employees, according to reports. While the company has emphasized that the changes are necessary to stay competitive, employees have reported that the new roles are often menial and lack the autonomy and creative freedom that characterized many of their previous positions.
The situation has drawn attention from outside observers. Analysts note that Meta’s rapid shift to AI mirrors similar moves by other tech firms, but the scale of the layoffs and the reported use of employees as training data raise questions about data governance and employee privacy. In addition to internal concerns, Meta has faced external scrutiny over its past handling of user data, most notably the Cambridge Analytica incident, which may compound the perception that the company is willing to sacrifice individual rights for corporate objectives.
As Meta prepares to launch the hackathon, leadership has stated that it will provide additional resources for off‑site collaboration and will reduce managerial oversight that employees have found burdensome. Whether these measures will restore morale remains uncertain. Employees continue to voice concerns about workload, job security, and the ethical implications of their work feeding into AI systems that may eventually replace their roles.
In the coming weeks, Meta’s actions will be closely watched by both employees and industry observers. The company’s ability to balance aggressive AI development with a healthy workplace culture could influence how other large tech firms approach similar transitions. For now, the workforce remains divided, and the long‑term impact of the layoffs and AI re‑allocation on Meta’s product strategy and employee retention is still unfolding.
