Excerpt from BusinessInsider.com article “AI data centers need workers. Semiconductor experts share 4 tips for finding and training them“ by Matt Villano
For companies to seize these hiring and upskilling opportunities, they must recognize the challenges associated with staffing for such a niche need, Larry Smith, a retired chair of the board of directors at Tokyo Electron, told BI.
Smith and John Akkara, the CEO of the workforce development firm Uptime Crew, shared their top strategies for growing and preparing the data-center and semiconductor workforce to best leverage AI.
Prepare to scale
Sometimes, a data center or semiconductor fabrication facility may need to double or triple its capacity in a matter of weeks. This means that the machines running AI systems need to work faster, longer, and harder and that companies must be ready to scale their human workforces to service these machines.
One organization that enables quick scaling is Uptime Crew.
The company makes talent training plans customized for its clients’ needs, Akkara said. The plans are typically designed to get workers hired, trained, and deployed to a job for one of its clients within 10 to 12 weeks.
“The whole idea is that our teams mobilize quickly,” Akkara said. “Especially with AI, in the current climate, you need to move fast and be able to work with all the technologies on the market.”
Uptime Crew operates on a simple model: when a semiconductor company expands its AI operations, it turns to Uptime Crew to find and hire specifically skilled workers—like data-center technicians—who can get the job done. On day one, those workers arrive trained and ready to go.
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