AI Workforce Training Act: What It Signals for Employers and Tax Strategy
Congress just sent a signal about the future of work, and smart companies should take note. A new bipartisan bill, the AI Workforce Training Act, introduces an AI training tax credit that would allow businesses to claim a 30% tax credit on AI training expenses, including course fees, employee time, and the cost of building internal programs. The credit caps at $2,500 per employee per year, indexed to inflation.
That’s a meaningful incentive. But the more important point isn’t whether the bill passes. It’s what the bill tells us about the future of work.
AI has already proven to be a powerful tool for accelerating results, but only if used by those who know not just AI’s capabilities but also its limitations. There are numerous stories of AI generating false data and conclusions, resulting in disastrous outcomes for companies that relied too heavily on it. Companies that use AI well will outpace those that don’t. The difference will come down to how companies train their employees to effectively leverage this technology.
While the AI Training Credit is not yet law, other tax incentives are available that can reduce the cost of training employees to effectively use AI tools. State and local governments often provide training credits or grants to help companies train and upskill their workforce, such as the JobsOhio Workforce Grant, Pennsylvania’s Wednet program, and the Texas Skills Development Fund.
For innovative companies, the R&D Credit remains a valuable incentive. Businesses developing AI technologies (see previous blogs) may qualify for both federal and state R&D Credits, which can help reduce development costs.
Now is the time for companies to act. While the proposed AI Training Credit moves through the legislative process, companies do not need to wait on the sidelines. Companies need to identify incentives, invest in employee education, and start building internal AI training programs today. The companies that act early will be better positioned to adapt, compete, and grow as AI continues to reshape the workforce.
David Seibel is a Shareholder in McGuire Sponsel’s R&D Tax Credit practice. He combines his knowledge of tax law with his engineering expertise to maximize companies’ research credits and reduce their overall tax burdens.
David ensures clients are receiving studies that meet the highest level of quality. He conducts fieldwork, produces detailed technical calculations, and builds narratives that accurately reflect each company’s research and experimentation activity.
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