After cutting 8,000 jobs, Meta admits its AI overhaul has stumbled

Meta's sweeping push to reinvent itself around artificial intelligence has come at a significant cost. Thousands of jobs have disappeared, thousands more employees have been reassigned, and even chief executive Mark Zuckerberg admits the process has been far from smooth.

In a recent internal memo obtained by Reuters, Zuckerberg acknowledged that the company's transition towards becoming an AI-first organisation has involved setbacks and warned employees to expect more bumps along the way.

His candid assessment comes after one of the largest restructurings in Meta's history, as the company races to keep pace with rivals in the increasingly competitive AI landscape.

AI ambitions bring disruption

Over the past several months, Meta has aggressively reshaped its workforce to prioritise artificial intelligence. In May, the company eliminated roughly 10 per cent of its global staff, amounting to about 8,000 employees based on a headcount of nearly 78,000 workers at the end of March.

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At the same time, around 7,000 employees were reassigned to AI-related teams and responsibilities. Reports suggest that when role changes and reorganisations are taken into account, nearly one in five Meta employees may ultimately be affected by the transformation.

The restructuring reflects Zuckerberg's determination to position Meta at the centre of the AI boom. The company behind Facebook, Instagram and WhatsApp has invested billions of dollars in AI infrastructure, talent and products, while also exploring the use of AI agents to automate tasks previously carried out by humans.

But according to the memo, the transition has not unfolded flawlessly.

"Given the complexity of these changes, we've made mistakes and will almost certainly make more," Zuckerberg wrote, according to Reuters.

Even so, he said management remains committed to providing employees with as much certainty and stability as possible while the company navigates further changes.

The remarks offer a rare glimpse into the challenges facing one of Silicon Valley's most ambitious AI transformations. Like many technology companies, Meta is attempting to fundamentally redesign its operations around a rapidly evolving technology whose long-term impact remains uncertain.

Zuckerberg offers reassurance to employees

Despite acknowledging the difficulties, Zuckerberg sought to calm fears over additional job cuts.

According to Reuters, he told employees that Meta does not currently anticipate another round of company-wide layoffs this year, though he stopped short of making absolute guarantees.

"I don't want to overpromise because the world is changing in ways that are out of our control," he said.

Zuckerberg also indicated that employees who have been shifted into AI training and development work could eventually find opportunities elsewhere within the company if priorities change.

"By creating important new roles for people, this also allowed us to shrink the size of teams knowing that if we make mistakes in some places, then we could transfer some people back," he wrote.

Beyond staffing changes, the memo outlined efforts to rebuild morale after months of upheaval. Meta plans to spend more on internal events and offsite gatherings as it tries to strengthen connections across teams.

The company is also organising a large hackathon in July aimed at encouraging collaboration between different groups and accelerating work on Meta's next generation of AI systems.

The acknowledgement of mistakes marks a notable shift in tone from Zuckerberg, who has spent the past year championing Meta's AI strategy and pouring resources into the technology. Yet his message suggests that even for one of the world's biggest tech companies, reinventing itself for the AI era is proving to be an imperfect process.

As the race to dominate artificial intelligence intensifies, Meta's experience underscores a broader reality confronting the technology industry: building the future often involves costly experiments, difficult decisions and, occasionally, getting things wrong.