When we discuss AI infrastructure, the conversation usually revolves around GPUs, data centers, and megawatts. But a critical understanding is now emerging globally: there's another essential component in the AI supply chain—the people who design, build, connect, cool, test, operate, and maintain these complex facilities.
Major tech companies are already investing heavily in this human layer. For instance:
- Meta launched its $115 million America’s Workforce Academy to train workers in trades like electrical, fiber optics, and welding for data center construction.
- Google.org committed $50 million to train over 300,000 workers in infrastructure-related fields.
- Microsoft expanded its partnership with TradesFutures to create apprenticeships in data center construction.
- Oracle is emphasizing the growing need for skilled Data Center Technicians.
Ironically, many forecasts once suggested that professions like electrical work, plumbing, and welding would be the last to be disrupted by AI. Now, it appears that because of AI, the demand for these very skills is set to rise. After all, AI doesn't run on thin air; it runs inside physical buildings that people must build, power, and maintain.
It's a positive sign that in Israel, we are beginning to recognize data centers as national infrastructure, with Government Decision 3907 and Ministry of Energy studies underway. But as we plan for land, power, and megawatts, we must also plan for our people. We need to ensure we have a sufficient skilled workforce to turn facilities, fiber, and electricity into a true national computing capability for years to come.