Meta: How a Tech Giant was Transformed by Dramatic AI Pivot

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Andrew Bosworth, CTO at Meta. Credit: Meta
In March, Meta CEOĀ Mark ZuckerbergĀ assembled a 6,500-strong Applied AI unit to launch a project anchored by a US$14.3bn investment in Scale AI

Meta is facing its most severe internal crisis in two decades, with CTO Andrew Bosworth conceding that staff morale is near its lowest level in 20 years.

According to reports from Mashable, management is offering more snacks, bigger travel budgets and office socials to help solve the problem. However, employees have apparently given these measures a cold reception.

WIRED reports that Andrew is blunt about the organisation's troubles. He said in an internal post that the company is no longer a place where workers can easily have an impact, adding: "We've undermined the trust you have that your specific expertise and contribution will be valued."

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Operational engineers adapt to forced roles within new unit

In March, Meta CEO Mark Zuckerberg assembled a 6,500-strong Applied AI unit to launch a project anchored by a US$14.3bn investment in Scale AI.

To staff the new unit, Mark swept engineers away from their core product and infrastructure roles.

While engineers had previously chosen their own projects, internal estimates now indicate that one in five or six engineers labels data full time. This drastic change has altered the daily responsibilities of the workforce.

Emily Dalton Smith, a Senior AI Executive who left the company last week, is part of a growing exodus following a reorganisation that turned elite engineers into reluctant data labellers.

In his statement, Andrew added: "We obviously did an atrocious job explaining the vision."

Emily Dalton previously served as AI Head of Product at Meta. Credit: LinkedIn

Trust gaps remain despite fresh corporate perks

The reorganisation followed 8,000 redundancies across the global workforce. It also followed unrest over a system tracking the keystrokes of employees to gather training data.

On the structural side, Meta is capping managers at 20 direct reports – sharp decrease from ratios that had ballooned toward 50 to one on teams such as Applied AI.

The company is also adding optional coaching and more bespoke support for workers in a bid to ease the transition into the new development groups.

Mark has tried to steady the organisation from the top, conceding the changes caused distress: "We've made mistakes and will almost certainly make more."

He has pledged no further company-wide layoffs for the rest of 2026, seeking to reassure anxious teams.

In March, Meta CEO Mark Zuckerberg built a 6,500-person Applied AI unit to power his most expensive AI bet

Disruption impacts platform security

Security teams thinned by reassignments at Meta were caught flat-footed by an embarrassing Instagram breach earlier this year, following which its CISO departed. 

Meanwhile, Meta posted US$56.3bn in first-quarter revenue, up 33%. The company achieved this growth even as it cut the teams that build its products.

However, the shares of the company remain the weakest of the megacaps over the past year, with financial success failing to fully shield the organisation from market scepticism.

For human resources leaders watching the situation, Meta is a cautionary extreme. A profitable giant chose speed over its own people and it is now learning that a broken culture is highly expensive to rebuild.

Strategic investments offer potential for recovery

For all the internal turmoil, Meta is not flailing blindly. The AI push rests on a real wager that lasting value lies in the data and distribution behind it.

For this reason, the US$14.3bn investment bought a near-half stake in Scale AI rather than a finished product. This gives the company direct access to vital foundational resources.

Management is adjusting its strategy to steady the workforce. Beyond capping management spans and pausing layoffs, Meta has reopened internal mobility, allowing reassigned staff to apply for other roles.

Chris Cox, CPO at Meta, has urged a sense of proportion regarding the transition, stating that AI is "neither god, nor is it the devil".

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