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Meta Joins AI-Led Workforce Cuts as Automation Reshapes Industry

Meta Joins AI-Led Workforce Cuts as Automation Reshapes Industry

The wave of AI-driven workforce reductions spreading across Big Tech is increasingly reaching the crypto industry, as firms balance automation, cost controls, and slower market conditions.

The trend received new attention after reports that it has started cutting staff in Singapore as part of bigger plans to reduce its workforce while expanding AI operations. The company is reportedly targeting about 8,000 job cuts globally, with engineering and product teams among the most affected.

Crypto firms tighten teams amid market pressure

Several crypto companies have already reduced headcount this year as firms look for leaner operations.

Digital payments company Block reportedly cut about 4,000 jobs in March, while Coinbase reduced around 700 positions. Crypto.com also trimmed roughly 180 roles.

Other firms linked to workforce reductions this year include Algorand, Gemini, Messari, OP Labs, and PIP Labs.

While AI tools are becoming more common, firms have also pointed to weaker market activity, uneven trading volumes, and stricter spending controls as reasons for the cuts.

AI spending rises as companies seek efficiency

Companies across the tech sector are investing heavily in AI infrastructure while reshaping teams to improve efficiency.

Meta has already committed more than $100 billion toward AI initiatives and is reportedly planning a massive AI facility project in Louisiana that could be valued at about $200 billion.

Internal communications cited a “flatter structure” and smaller teams as part of efforts to move faster and improve productivity.

AI layoffs spread across industries

The shift extends beyond crypto and technology firms. According to labour market data cited by CFO Dive, U.S. employers linked 49,135 planned layoffs between January and April to AI-related changes. AI-driven restructuring accounted for roughly 16% of announced job cuts during the period.

For crypto firms, the trend suggests workforce restructuring may continue as automation tools expand and companies push for lower operating costs.

 

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