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0G Labs, a San Francisco startup building blockchain infrastructure for AI agents, announced a 25% reduction in its workforce as it shifts toward an “AI-native” operating model. The company said the move is intended to make it “leaner” and “faster,” with a stronger focus on expanding AI capabilities rather than growing headcount.
The company’s CEO, Michael Heinrich, said the timing reflects a broader shift from discussing a future in which AI agents handle tasks humans no longer need to do, to actually operating that way. Heinrich said remaining staff will use AI daily to boost productivity by roughly twentyfold, while humans provide oversight and make final decisions.
The announcement also raises questions about how feasible it is to fully replace human workers, particularly given 0G Labs’ earlier scale. The company previously raised about $350 million and was valued at $2 billion, with around 40 employees at the time.
Its crypto token, $0G, has fallen more than 80% since launch. 0G Labs declined to comment on whether the token’s decline influenced the decision.
The layoffs fit into a wider pattern in the technology sector following a surge in AI activity late last year, sometimes referred to as the “Claude Christmas.” More companies are adopting “AI-native” structures, including smaller teams and higher output enabled by AI tools.
Beyond startups, major technology firms have also begun restructuring around AI. Earlier this year, fintech Block reportedly cut nearly half its workforce, and Coinbase announced about 14% layoffs for similar reasons, citing AI replacing work that previously required human labor.
While the ambition to substitute human labor with AI is growing, the article notes potential financial constraints as the market enters what it describes as a “reverse wave.” Some firms are reportedly scaling back AI spending in favor of traditional programming due to rising maintenance costs.
As an example, the article cites an incident on the r/ClaudeCode forum in which a company reportedly canceled paid AI plans to redirect budget toward hiring two mid-level programmers. The reason given was that platform bills can reach thousands of dollars per month when analyzing source code using large-model APIs, suggesting that the cost-per-output of AI-enabled work may be a more durable economic factor than headcount reductions alone.
Premium gym chains are entering a “golden era” that is ending or already in decline, as rising operating costs collide with shifting consumer preferences toward more flexible, community-based ways to exercise. Long-term memberships are shrinking, margins are pressured by higher rents and facility expenses, and competition from smaller, more personalized…
