Future-Ready States: Building a Workforce That is Ready for AI

Artificial Intelligence (AI) is changing how America works, learns, and competes. It influences everything from advanced manufacturing and logistics, to healthcare, education, and creative industries. The pace of this transformation is extraordinary; AI use in the workplace has jumped from 8% to 35% in just one year. Yet, more than half of workers say they don’t feel prepared to use AI in their jobs. 

For workforce and education systems already stretched thin, the challenge is not only keeping up with new technologies but ensuring that these advances lead to inclusive opportunity rather than division. AI represents the next great productivity leap but without deliberate investment in skills, data systems, and cross-sector partnerships, it risks deepening existing inequities. 

CSW’s mission for the past three decades has been to help states build systems that adapt to disruption, from globalization, to green jobs, to advanced manufacturing. Today, the rise of AI presents a new inflection point. Whether the outcome strengthens or fragments opportunity will depend on how quickly states and systems act. 

The Federal Government’s Vision for AI and the Workforce 

The federal government has begun to chart an AI policy path that emphasizes innovation, infrastructure, and workforce preparedness. The America’s AI Action Plan calls for bold investment in AI R&D, deregulation to accelerate innovation, and workforce programs that empower American workers in the age of AI. It proposes the creation of an AI Workforce Research Hub at the U.S. Department of Labor to monitor labor market impacts, as well as rapid retraining initiatives through state and intermediary partners. 

At the same time, leading policy organizations have emphasized capacity-building within public systems. Jobs For The Future’s AI for Economic Opportunity and Advancement: A Call to Action argues that national success will hinge on the strength of state and local workforce institutions, particularly their ability to integrate data, scale digital-skills training, and form durable public-private partnerships. 

These frameworks reveal a bipartisan consensus that identifies AI readiness as required state readiness. Federal policies can set direction, but the real work of building an AI-ready workforce will unfold through the everyday systems that deliver training, connect employers, and guide workers through transition. States that have already invested in data modernization, regional partnerships, and innovation hubs are best positioned to translate this moment into equitable economic growth. 

How States are Embracing AI 

Michigan 

Michigan has long been a proving ground for workforce innovation. As automation reshapes mobility and manufacturing, the state is aligning workforce training with the digital transformation of its industries. Through the Michigan Economic Development Corporation’s AI and Automation Strategy, partnerships between Michigan Works! agencies, community colleges, and major employers are helping incumbent workers learn robotics, predictive maintenance, and data analytics. 

Ford Motor Company’s Ion Park in Dearborn integrates AI into electric vehicle production, with reskilling programs that prepare technicians for high-tech manufacturing roles. These efforts demonstrate how legacy industries can adapt without leaving workers behind. 

California 

California remains the nation’s AI epicenter, accounting for more than one-third of all AI-related jobs. Governor Newsom’s 2023 executive order directed state agencies to study AI’s impact on education, workforce, and equity, while the state’s community colleges have launched new AI and data literacy certificates to prepare students for evolving careers. Several bills were signed into law in California that focus on AI transparency and safety, companion chatbots, deepfake pornography, and AI healthcare advice. 

The NVIDIA and UC Berkeley AI Research Alliance provides another example of how academia and industry collaboration can expand access to frontier technologies. Their partnership supports training, ethical AI research, and internships for students from underrepresented communities, translating innovation into opportunity across California’s regions. 

Georgia 

In the South, Georgia is emerging as a model for regional AI integration. With major employers like Delta Air Lines investing in predictive maintenance, route optimization, and AI-driven training, the state’s workforce system is adapting to serve both tech startups and legacy logistics companies. 

The Georgia Institute of Technology is helping small and mid-sized manufacturers adopt AI through its Manufacturing Extension Partnership (MEP) program that expands automation, boosting productivity, and keeping skilled workers in high-demand industries. 

Where AI Is Creating the Most Jobs and the Largest Gaps 

AI job creation is expanding rapidly across sectors, but the distribution of opportunity is uneven. Healthcare, manufacturing, and information technology show the fastest AI-related growth, yet rural and smaller metro areas are seeing slower adoption. 

JFF’s national survey found that 77% of workers expect AI to affect their career within five years, but only 31% report receiving any AI-related training from their employers. This mismatch between expectation and preparedness is where the public workforce system must lead. 

Without intentional strategies, new AI-driven job clusters could mirror long-standing inequities in access to tech careers. Expanding AI literacy and digital navigation tools through workforce and adult education programs will be essential to closing these gaps. States that link AI training to existing industries such as advanced manufacturing, logistics, and clean energy can create practical, inclusive pathways into the next generation of work. 

Why This Matters for Workforce Development Leaders 

AI’s workforce impact goes far beyond coding and engineering roles. It’s already influencing how welders, nurses, caseworkers, and educators perform their jobs. As algorithms automate repetitive tasks, workers will need greater focus on human-centered skills including judgment, communication, and problem solving that technology cannot replace. 

For workforce development leaders, this means strengthening system capacity as much as individual training. Expanding incumbent-worker training programs, youth apprenticeships, and digital-skills grants recommendations outlined in JFF’s Call to Action can help align education and employment pathways with the speed of technological change. 

Federal and state initiatives are also converging around key strategies: 

• AI Workforce Centers of Excellence: regional hubs to test scalable AI training models

• Digital Transformation Funds: modernization of career navigation platforms using reliable labor market data

• Expanded RESEA programs: rapid reemployment for workers displaced by automation

CSW’s experience supporting state-led transformation projects in California and Michigan’s AI engagement strategies show that system-level alignment is achievable. The critical question now is whether workforce systems can move from experimentation to implementation before the AI skills gap widens. 

The Way Forward: Partnering for an AI-Ready Workforce 

AI’s promise is immense, but so is the risk of deepening divides between those with access to new tools and those left behind. CSW views it as both a systems-change challenge that determines who participates in the future of work, and a national security, competitiveness, and equity issue. 

The next phase of action requires integrated, state-level leadership. That means: 

• Embedding AI skill development into existing WIOA and community college frameworks 

• Modernizing data systems to better track outcomes and inform employer engagement 

• Building cross-sector partnerships among employers, educators, and intermediaries to ensure AI adoption enhances job quality 

At CSW, we believe innovation succeeds when it strengthens human potential. We’re partnering with states, agencies, and employers to develop AI readiness frameworks that ensure all workers, learners, and communities can thrive in the digital economy. 

References 

• Jobs for the Future, AI for Economic Opportunity and Advancement: A Call to Action (2025) 
• Jobs for the Future, AI for Workers & Learners Survey (2024) 
• The White House, America’s AI Action Plan (2025) 
• Governor Newsom Executive Order on AI, State of California, 2023 
• Michigan’s And the Workforce Plan: An Addendum to the Michigan Statewide Workforce Plan, State of Michigan, 2025  
• Michigan Business Development – Artificial Intelligence, MEDC 
• Georgia Department of Economic Development – Technology