The Investing in Tomorrow's Workforce Act of 2026 establishes grant programs and amends existing law to fund training and upskilling initiatives for workers whose jobs are at risk due to automation.
Richard Durbin
Senator
IL
The Investing in Tomorrow's Workforce Act of 2026 aims to address job displacement caused by automation through significant federal investment in worker training. It establishes competitive grants for partnerships to pilot innovative training projects focused on digital skills and in-demand sectors. The bill also expands existing workforce programs to specifically support workers who are, or are likely to become, dislocated due to technological advances. Ultimately, this legislation seeks to prepare the U.S. workforce for jobs requiring advanced technology and digital literacy.
The Investing in Tomorrow’s Workforce Act of 2026 is a direct response to the reality that robots and software are increasingly doing tasks once handled by humans. Starting in fiscal year 2026, the bill creates a competitive grant program for 'eligible partnerships'—groups of colleges, local businesses, and workforce boards—to design training projects that last up to four years. The goal is to move workers from at-risk roles into high-tech, in-demand jobs like coding or systems engineering. It specifically targets the $72 billion gap between what the U.S. spends on worker training compared to other industrial nations, aiming to catch up before automation displaces an estimated 5 million more jobs by 2030.
Under Section 4, these grants aren't just for classroom learning; they are designed to be practical. For example, a local manufacturing plant could partner with a community college to retrain assembly line workers on how to maintain the very robots that might otherwise replace them. The bill allows funds to be used for purchasing new tech for training, paying for job search assistance, and even providing training stipends to help workers cover their bills while they learn. To make sure these programs actually work for busy adults, the bill prioritizes partnerships that offer 'wraparound services' like child care access, transportation stipends, and paid family leave—the kind of support that determines whether a parent can actually finish a certification program or not.
The bill focuses heavily on 'covered populations'—people who already face barriers to employment—and those earning less than $40,000 a year, who statistics show are most vulnerable to automation. Section 5 takes this a step further by updating the Workforce Innovation and Opportunity Act to explicitly include automation as a reason for receiving 'dislocated worker' status. This is a big deal because it opens up existing federal safety nets for people whose jobs didn't just go to another country, but to a computer program. The bill also authorizes $40 million annually specifically for these national dislocated worker grants through 2030.
This isn't a 'blank check' policy. Section 4(e) requires strict reporting on every project. One year after a program ends, recipients have to report exactly how many people got jobs, what their annual earnings are, and whether they stayed employed six months later. This data must be broken down by age, gender, and race to ensure the training is actually reaching the people it’s supposed to help. While the bill relies on local boards to define what an 'in-demand' job is, the requirement for these partnerships to include economic development organizations suggests a push to ensure people are being trained for jobs that actually exist in their specific zip code.