Gina Raimondo

decided to expand manufacturing of chips in America, they told us what they needed.

They needed skilled electrical engineers and equipment operators.

So we got to work.

We designed with them, with community college, with certificate initiatives, accelerated certificate programs and apprenticeships tailored to the company's needs.

Today, TSMC is thriving in Arizona, making leading-edge AI chips at scale for the first time in America's history.

Another problem with our current system is it's a one and done system.

You graduate high school, you go to college, you're done with your education.

That isn't going to work in an AI economy.

All of us, all of us,

we'll have to learn new skills because our jobs will be constantly changing over the course of a career.

Let's be honest.

Most people learn most of the skills that they use in their job every day on the job.

Yeah?

So why don't we have more effective, affordable, flexible options at scale so people can earn while they learn continuously over the course of a career?

A good friend of mine's husband recently lost his job in IT.

Super smart guy in his late 30s.

So he spent a long time trying to figure out a job that excited him that he thought was an AI-resilient career path.

He finally found a job in the HVAC industry.

He was psyched for it.

He spent a lot of time looking for a training program in his area.