New Mindtools Kineo analysis finds embedding AI learning more deeply into everyday work would add a further $72 billion
Better workplace AI training could unlock $177 billion for the US economy by 2030, according to new analysis from workplace learning company, Mindtools Kineo.
Published in its new report, The AI Confidence Gap, Mindtools Kineo’s model shows the scale of the economic opportunity available if more US employees are equipped to use AI effectively at work.
The model also estimates that more intensive workplace AI training could unlock $196 billion for the US economy, compared with $124 billion through basic instruction, a difference of approximately $72 billion, or 58%.
AI provides a huge economic opportunity for businesses in the US, but it can’t be realized through capital investment alone. People also need the skills and confidence to use it effectively. Businesses are moving quickly to adopt AI, but they’re not preparing their people for this change at the same rate.
Mindtools Kineo’s analysis of US Census Bureau data found that just 2.7% of US businesses have both adopted AI and trained their existing staff. The Census Bureau also found that nearly two-thirds (64%) of businesses already using AI have made no organizational adjustments to support it, while only 15% have trained existing staff.
Training makes a clear difference to whether employees become regular AI users, but a brief introduction to the technology will only go so far. BCG research found that just 18% of employees receiving no AI training are regular users, compared with 63% after one to five hours of training, 82% after five to 10 hours and 89% after more than 10 hours.
Commenting on the analysis, Rodrigo Bolaños, AI Innovation Director from Mindtools Kineo, said: “The AI productivity debate has focused heavily on what the technology can do and not nearly enough on whether people can use it well. Giving employees access to AI may create pockets of experimentation, but it doesn’t automatically build the confidence, judgment or working habits needed to use it consistently.”
Ross Garner, Chief Learning Officer at Mindtools Kineo, added: “Building these skills will largely happen inside organizations, not in classrooms. Yet training is still too often treated as the final step in an AI rollout. Making courses longer won’t solve the problem, either. Employees need opportunities to apply AI to the tasks and decisions they handle every day, understand when to trust or challenge its output, and keep developing as the tools evolve. That’s how businesses turn experimentation into capability and start seeing a real return on the investments they’re already making.”
The findings reinforce the approach behind Mindtools Kineo’s AI Skills Academy, a four-week blended enterprise program developed with Mindstone that combines expert-led sessions, personalized, role-specific skills development and in-the-flow support to help employees apply AI in their everyday work.
Mindtools Kineo has also launched a Skills Readiness Calculator, an interactive tool that allows business leaders to assess how prepared their organization is and compare its approach to AI skills training against the benchmark. It provides tailored guidance on the areas they should focus on to improve AI usage.
To find out how prepared your organization is and benchmark your approach to AI skills training, try the Skills Readiness Calculator here.
About the analysis
Mindtools Kineo’s model estimates how much US economic value workplace AI training could unlock by 2030 and how the reach and quality of that training could change the outcome.
The model draws on KPMG analysis of the economic value associated with AI adoption and upskilling. It then uses data from the US Bureau of Labor Statistics, National Center for Education Statistics and Gallup to estimate how much of the workforce capability required by 2030 is likely to depend on employers training people already in work.
It tests different scenarios based on the proportion of the relevant workforce reached and the quality of the training provided, ranging from basic, tool-led instruction to applied, role-relevant learning and embedded best practice. US Census Bureau and BCG findings are also used to provide context on current business adoption, workforce preparation and the relationship between training and regular AI use.
The resulting figures are modelled scenarios rather than economic forecasts. They are intended to illustrate how different assumptions about training reach and quality could affect the value realised. Full assumptions, calculations, sources and limitations are set out in the methodology published with The AI Confidence Gap report.
Supporting sources
- US Census Bureau, The Microstructure of AI Diffusion: Evidence From Firms, Business Functions, and Worker Tasks
- Boston Consulting Group, AI at Work 2025
About Mindtools Kineo
Mindtools Kineo’s vision is to be the leading global partner for driving organizational capability that is underpinned by a skilled, high-performing workforce. We do this by combining behavioural science with scalable technology to equip organizations for today’s challenges and tomorrow’s opportunities.
Our tailored learning and performance ecosystem enables organizations to plan, deliver and measure capability at scale. Our approach brings together learning, technology, analytics and services that support every stage of the learning journey – from insight and strategy to delivery and impact.