AI is letting one person do the work of many, says Meta CEO Mark Zuckerberg

Meta CEO Mark Zuckerberg has again made headlines as he talked about how the company thinks about work, teams and the hiring part, as AI begins to dramatically expand what individual employees can achieve. During the Meta’s latest earnings call, Zuckerberg said the company increasingly seeing AI-powered tools enable single engineers or creators to deliver results that once required large teams.

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According to Business Insider, Meta is now prioritising AI native workflows that empower highly skilled individuals, allowing teams to become flatter and more efficient over time. Zuckerberg also stated that this shift is already visible internally with projects being completed faster and with fewer people, thanks largely to advances in AI assisted and agent based coding tools. He added that Meta wants to position itself as the best destination for top talent looking to maximise individual impact, even as traditional team structures evolve.

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This comes along with a sharp increase in AI investment, the report added. Meta said it plans to raise spending on AI infrastructure by as much as 60 to 87 percent this year. The company also reported that productivity per engineer rose significantly last year, driven primarily by AI adoption.

Even after the focus on smaller teams, Meta does not plan to slow hiring entirely. Chief financial officer Susan Li reportedly said the company remains aggressive in recruiting skilled professionals, particularly in areas such as monetisation, infrastructure, regulation and its Superintelligence Labs unit. Meta ended the December quarter with about six percent more employees than a year earlier.

The idea of smaller, high-impact teams has also gained traction in the startup ecosystem. OpenAI CEO Sam Altman has previously predicted the emergence of billion-dollar companies run by just a handful of people, made possible by rapid advances in AI.

However, Meta acknowledged that its ambition to rely more heavily on AI-savvy individuals faces practical challenges. Zuckerberg noted that limited compute capacity remains a bottleneck, as demand for AI resources across the company is growing faster than supply.

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Ashish Singh

Ashish Singh is the Chief Copy Editor at Digit. He's been wrangling tech jargon since 2020 (Times Internet, Jagran English '22). When not policing commas, he's likely fueling his gadget habit with coffee, strategising his next virtual race, or plotting a road trip to test the latest in-car tech. He speaks fluent Geek. View Full Profile