How the Midwest Economy Can Benefit From Artificial Intelligence

1. Introduction

The global economy will look astonishingly different in the next 20 years, and AI will likely be at the center of this pivotal moment. One of the most pressing matters in this discussion is the effect AI will have on labor and employment. This issue is increasingly occupying more political bandwidth and will certainly become a major topic of debate in the coming years.

However, it is difficult to discuss the real long-term impacts of AI on the economy because making predictions in this early and unprecedented age is difficult. As a result, much current discussion focuses on the obvious and short-term disruptions that AI may have, specifically around a select few white-collar jobs in software, data analytics, and other heavily computerized roles. However, there are many more similarly relevant occupations, both white and blue-collar, reflecting a more accurate picture of the American workforce, that are often left out of the mainstream conversation.

2. A Region Poised for Investment

The Midwest consistently leads in having the highest concentration of blue-collar work compared to other regions of the US, ranging from 18-22% of a state's total workforce (Center for Economic and Policy Research, 2017). Despite nationwide declines in direct agricultural employment, the Midwest maintains the highest cluster of agriculture-dependent counties and produces a yield disproportionately large relative to its population size (US Department of Agriculture). The region is currently experiencing a manufacturing investment surge with over $149 billion in new investments across the region in semiconductors, electric vehicles, life sciences, and defense technology (Jones Lang LaSalle, 2025).

This trend demonstrates a vote of confidence in the Midwest by investors, some of whom may be looking to leave the increasingly tax-burdensome coastal regions of the US in favor of cheaper labor, land, and production costs. This renewed interest in the region coincides with recent efforts, both private and public, to bolster the American AI infrastructure, with all of its implementation, technological, and energy production demands. While this technology has not yet penetrated the operations of most businesses, there is real demand behind the investments, made evident in growing personal and professional usage (Lin, 2025).

3. Automation and Blue-Collar Work

Automation, however, is something the Midwest is no stranger to, as de-industrialization has led to significant loss of employment opportunity, especially for unskilled labor. Some fear AI may accelerate this pattern as technology improves and may be able to perform much of the repetitive labor in agriculture and manufacturing that millions rely on for a living. However, many of the current AI products offered to businesses cannot fully replace most jobs even in white-collar professions, as they either aren't advanced enough or cannot reason with the same efficiency as a human.

AI may not eliminate significant blue-collar jobs as it is mainly changing the skill requirements needed in the market. Workers are still going to be needed in order to operate, maintain, and troubleshoot automated systems rather than perform manual tasks. This shift creates demand for higher-skilled technical roles, but it may also open new roles for unskilled workers to manage the large increase in productive equipment.

Blue-collar work is often thought to be the most vulnerable to automation because it demands the least creativity and innovation. Recent advancements in machine learning and robotics reflect technological progress in these capabilities, but it's unlikely to fully replace blue-collar work. As it turns out though, many occupations involving manual work are far more insulated from automation than white-collar jobs. A report from the RAND Corporation states

In general, occupations that require more education and cognitive skills have become more exposed, while those that require manual labor have become less exposed. Sytsma & Sousa, RAND Corporation

This inversion is evidenced by the fact that human traits like dexterity, adaptability, and interpersonal skills are irreplaceable by current technology and will continue to be valuable in the foreseeable future.

4. White-Collar Work: Complement, Not Replacement

For white-collar jobs in major Midwestern cities, AI is predicted to impact labor and employment, just as it would anywhere else, but to an extent far less dramatic than in other parts of the country. This is because tech and software jobs are far less dominant than in the coastal regions of the US. Many roles in fields such as finance, insurance, administration, and legal services involve routine tasks, such as data processing, document review, and basic analysis, which AI is able to easily perform. As of late Summer 2026 roughly all of the layoffs in which management cited AI as a consideration have occurred in California, Washington State, and New Jersey (JobShift, 2026). While AI use has not fully penetrated the market yet, this incipient trend indicates the most insulated forms of labor are certainly not computer-based.

However, white-collar work is more likely to be complemented rather than entirely replaced. AI tools can increase productivity by assisting with research, analysis, and decision-making, which will allow workers to focus on complex, interpersonal, or strategic tasks in high-pressure problem-solving environments, which is something that AI cannot replicate. A recent study published by researchers at Apple's Machine Learning Division suggests there may be structural limitations in building robust and capable AI models. They determined that several frontier models lacked broad situational and adaptive reasoning skills across several different types of challenging puzzles, and this problem may be inherent to how they're trained (Shojaee et al., 2025). This trend may serve as an early indicator of the limitations of this technology and suggests that certain areas of complex problem-solving and strategizing may be irreplaceable by AI.

5. Data Centers, Energy, and New Investment

Putting the predictions aside, the buildup of the AI economy, with energy infrastructure, data centers, and technology manufacturing, has brought forth a new wave of investment and employment into an often overlooked region. According to Pew Research, the Midwest will experience a 64% increase in the construction of data centers, the fastest growth of any region in the US (Seets & Radde, 2026). This has contributed to an unprecedented increase in energy usage, largely driven by the significant demand for power to support widespread use of AI. However, despite the rise in demand, energy prices have not dramatically spiked nor led to severe market inequality. A recently published paper found that while electricity demand increased, retail prices didn't. The authors propose a theoretical model in which the construction of data centers, which are a stable and long-term market for energy, incentivizes electricity suppliers to invest in cost-decreasing equipment (Watten et al., 2026).

6. Policy Considerations

All of these factors may be disruptive in the short-term, but set the groundwork for the Midwest to emerge as a critical hub in the AI economy. In order for the region and its population to benefit, there are some key considerations policymakers and voters must take into account.

The AI buildout has the potential to seriously strain the US power grid if supply cannot keep pace. It would be beneficial to consider enacting regulations or promoting, through incentives, the ownership of and reliance on local energy firms by technology companies, to remove their presence from the overall power grid. State and local governments must monitor this issue closely and promote responsible enterprise and growth. A paper published by the Harvard Kennedy Center examines this relationship and suggests implementing equitable cost-sharing mechanisms to protect consumers and creating incentives for data centers to utilize demand-side elasticity through operation scheduling dynamics (Mural et al., 2026).

Furthermore, AI will accelerate worker productivity and likely generate more revenue for firms. This is because AI can perform tasks more efficiently than a human, and assuming it restructures and ultimately complements human labor, it will be a net positive on the economy by increasing sales and making markets more competitive. This may be an opportunity for Congress and state governments to raise corporate income tax rates or levy excess profit taxes on corporations to generate more revenue; thereby allowing the money to funnel back into the economy through grants, infrastructure projects, and investments, which could work to temporarily offset any unemployment caused by the changing job market.

However, there are several obstacles to this ideal dynamic which industry and regulators must compromise on. The largest of these challenges is the threat of rising populism in opposition to the use of AI, the dependence on foreign suppliers for technological infrastructure, and fears over the threat AI poses to the job market and to security. It's well worth noting that these concerns, however monumental, have attainable and negotiable solutions that do not compromise or cut corners.

7. Conclusion

Ultimately, artificial intelligence is likely to reshape the Midwest more through economic transformation than through widespread job elimination. While AI may automate certain tasks and require workers to adapt to new skill demands, it also presents significant opportunities through increased productivity, manufacturing growth, data center construction, and energy investment. The Midwest's strong industrial base, growing technological infrastructure, and strategic position in the national economy make it well positioned to benefit from these changes. Whether these benefits are broadly shared, however, will depend on responsible policymaking, workforce development, and cooperation between government and industry to ensure that economic growth translates into long-term prosperity for Midwestern communities.