Meta’s $115M America’s Workforce Academy draws praise from Trump adviser and former Facebook executive

Meta Platforms said it is launching America’s Workforce Academy, a paid training and job-placement initiative focused on skilled-trade roles, and the program quickly drew public praise from prominent technology and policy figures. In comments circulated Tuesday, venture capitalist David Sacks, who has been described as a former adviser to President Donald Trump on AI and cryptocurrency policy, argued the effort targets workers in short supply as companies expand the data-center infrastructure behind artificial intelligence.

Sacks singled out roles tied to building and maintaining AI facilities, including electricians, fiber technicians and “mechanical tradespeople.” He said the “AI infrastructure boom” is creating demand for blue-collar workers, and he described Meta’s academy as a jobs-training model that offers paid training plus job guarantees. The program’s budget figure cited in the discussion was $115 million.

Sacks and others framed the timing as notable because the push arrives as parts of the tech sector continue to shift toward automation and efficiency. The same discussion pointed to ongoing layoffs across the industry and referenced that Meta itself has conducted layoffs, though it did not provide details on the number, timing, or business units affected.

Other prominent voices also weighed in. Chamath Palihapitiya, a Social Capital founder who previously held senior roles at Meta (then Facebook) from 2007 to 2011, called the concept “really amazing.” His remarks suggested that if the company can move an average-income worker into higher-paying trades roles, the approach could be transformative, particularly if scaled.

From a product and strategy standpoint, Meta’s academy fits a broader pattern among large technology companies building for AI workloads. Training and hiring for trades matters because data centers require specialized installation and ongoing maintenance of electrical systems, cooling equipment, fiber networks and related mechanical infrastructure. The discussion around Meta’s academy linked that practical need to the pace of new construction.

Meta did not provide additional specifics in the circulated report beyond what was attributed to the announcement and the public comments. The details that remained unclear include where the academy will operate first, how many trainees are expected to enroll, what employers or job partners will place graduates into roles, and how long the job guarantees last.

Even so, the program’s stated structure, paid training plus job guarantees for targeted trades, is likely designed to reduce one of the bottlenecks common to large infrastructure projects. Companies can recruit for engineering and software, but they also need reliable pipeline capacity for trades work that cannot be filled instantly, particularly when multiple firms expand at the same time.

What to watch next is whether Meta’s academy expands geographically and whether it publishes measurable outcomes such as graduation rates and placement outcomes for trainees. Industry observers will also be looking for signs that Meta’s training model is adopted or replicated by other employers competing for the same skilled labor pool.

Meta did not add further comments in the available reporting about how the academy will connect to its broader AI infrastructure roadmap, nor did it outline how training capacity will scale relative to data-center construction. Any confirmation of those points would likely come in a formal program announcement, partnership updates, or progress reporting.