Alphabet owned Google has committed tons of money to building up the next generation of workers across the country and now it’s putting up another $50 million to fund skilled trades workers. The new funding amount goes to the “training experts” Google says, who are “building these programs from the ground up.”
The overall goal is to help prepare more than 300,000 skilled trades jobs across 20 states. It doesn’t elaborate completely what states or where exactly these programs are that are located, at least not in its blog post about the funding expansion. The important thing is that there are apparently tons of open positions in a series of skilled trades careers and Google is funding the training that seeks to fill those jobs up. Google does mention a wide array of job types that are part of these programs, too.
This includes skilled trades positions like electricians, plumbers, pipefitters, welders, service techs, sheet metal workers, and construction pre-apprentices. Google of course is no stranger to funding a variety of different programs ,deals, and projects.
Google is trying to help solve a workforce shortage with this skilled workers fund
A big reason for expanding this fund to train more workers for trade skills is because there’s a workforce shortage for these particular kinds of jobs, Google says. Noting that there are many jobs waiting to be filled, Google mentions that “No single entity can solve this American workforce shortage on its own.” That sort of rationalizes the reasoning behind its commitment to this funding.
While the $50 million in funding is admirable, it has been pointed out that the $50 million, even if it’s distributed to the training experts in its entirety, amounts to the equivalent of about $166 per worker that’s being trained. Which doesn’t sound like a whole lot in the grand scheme of things.
This is especially when you compare the $50 million in funding to Google’s recorded hourly revenue of $50.9 million for the first quarter of 2026. Or its massive amounts of money that are being put towards AI data center expansion. These gaps may also not look great when a large number of people aren’t exactly thrilled with the effects of AI data centers on communities and the environment, like heavy water consumption to keep things cool.
This article was originally published on AndroidHeadlines
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