Quick summary of MIE Solutions’ Automation Readiness Report:
New research from MIE Solutions highlights which U.S. states are best positioned to adopt advanced automation, robotics, and artificial intelligence in 2026.
By analyzing seven critical pillars—including digital infrastructure, robotics penetration, manufacturing GDP spending, commercial electricity costs, and the percentage of businesses utilizing AI—we created a comprehensive Automation Readiness Score for all 50 states.
The findings reveal a massive geographic divide. Traditional industrial states in the Midwest and South are aggressively scaling up technology to secure their operations, while several economic heavyweights are hitting structural bottlenecks, leaving them exposed to persistent market pressures.
The State of U.S. Manufacturing Automation in 2026
As domestic reshoring accelerates and supply chain security remains a boardroom priority, the baseline requirements for running a competitive manufacturing operation have shifted.
It is no longer enough to simply have factory floor space. Sustainable growth now depends heavily on technological resilience.
However, transitioning to a highly automated facility requires an ecosystem of support, from robotics and AI to ERP software. To evaluate how prepared each region is for this transition, MIE Solutions benchmarked all 50 states across seven core automation indicators to map out the current landscape of digital manufacturing readiness.
MIE Solutions’ Automation Readiness Index
Rather than looking at single variables, our Index scores all 50 states on a 1-100 scale using a blended framework of digital, financial, and physical hardware indicators. Each factor is equally weighted to produce a final ‘automation readiness score.’ The factors analyzed are:
- Digital Infrastructure: Baseline internet speeds needed to support advanced cloud ERP solutions and industrial IoT environments. (World Population Review)
- Workforce Density: The proportion of the local population engaged in manufacturing. (S. Bureau of Labor Statistics)
- On-the-Floor Technology: The actual percentage of plants running robotics alongside the broader business adoption of AI. (S. Census)
- Financial and Productivity Support: State-level manufacturing GDP contributions coupled with recent productivity gains. (Bureau of Economic Analysis)
- Utility Feasibility: Commercial electricity rates, which dictate the long-term ROI of heavy automated equipment. (com)
Which states are best placed to take advantage of automation in the U.S?
Texas: The Capital and Connectivity Anchor
Securing the No. 1 spot on our index with an overall score of 79.76, Texas proves that scale and modern infrastructure are a potent mix.
- Manufacturing GDP Contribution: $330.77 Billion
- Average Network Speeds: 425.9 Mbps
- AI Business Integration: 19.8%
- Commercial Electricity Costs: 12 cents/kWh
Texas’s dominance is anchored by huge state-level financial backing and an exceptionally robust digital grid. Crucially, the data reveals that Texas boasts commercial electricity costs of just 9.12 cents/kWh, making it the third cheapest state in the nation for industrial energy power. Combined with an outstanding annual manufacturing productivity score of 114.79 (ranking 5th highest nationally), Lone Star operators enjoy a massive structural advantage. So, while its physical robotics plant footprint currently sits at a modest 4.6 percent, its ultra-low utility overheads, rapid internet, and a high proportion of businesses using AI mean its ecosystem is perfectly optimized for data-driven, cloud-connected infrastructure that is primed for explosive automated scaling.
Texas’s manufacturing strategy highlights a clear shift in how massive industrial states tackle modernization. With an immense workforce of 970,600 employees, the state isn’t just relying on manual labor. Businesses here are aggressively steering toward digital solutions, as seen in its impressive 19.8 percent AI adoption rate.
Because its raw physical robotics footprint currently sits at a modest 4.6 percent, Texas represents an open, high-potential frontier for automated hardware expansions. Incoming manufacturers can build fresh on top of a highly optimized digital grid and cheap industrial power, making the state an ideal ecosystem for fast-scaling digital transformations.
The Midwest Pivot: Indiana & Wisconsin Re-engineer the Rust Belt
Indiana (No. 2) and Wisconsin (No. 3) follow closely behind, demonstrating that America’s classic industrial heartland is leading the charge in physical hardware deployment.
- Indiana Readiness Score:77
- Wisconsin Readiness Score:05
- Indiana Robotics Deployment:8%
- Wisconsin Robotics Deployment:8% (Ranked No. 1 nationally)
- Indiana AI Business Integration: 4%
- Wisconsin AI Business Integration: 1%
With manufacturing workforces comprising 7.46 percent of Indiana’s population and 7.69 percent of Wisconsin’s, these states boast the highest industrial workforce densities in the country. Instead of viewing technology as a replacement for human talent, midwestern operators are using it as an accelerator. Wisconsin leads the entire country with 11.8 percent of its plants actively running robotics, proving that the heartland is leaning heavily into automated production lines.
Ohio: Strong Core Foundations and Cost-Effective Scaling
Clinching the No. 4 spot with a readiness score of 70.91, Ohio stands out as a highly balanced industrial powerhouse.
- Manufacturing Workforce: 687,500 employees (5.73% of population)
- Active Robotics Footprint: 9.4% of plants
- Commercial Electricity Costs: 11.55 cents/kWh
- AI Business Integration: 17.8%
Ohio combines a massive legacy industrial presence with a highly aggressive approach to modern hardware integration. Nearly 10 percent of its plants are already utilizing robotics, supported by highly competitive commercial utility rates (11.55 cents/kWh). While its average internet speed (278.3 Mbps) is more modest than that of Texas, Ohio’s immense manufacturing GDP spending ($131.60 billion) and deep regional expertise make it an ideal environment for sustainable, cost-effective automation growth.
Michigan: Automotive Legacy Meets High-Tech Robotics
Another Rust Belt state ranks highly in our index, securing the No. 6 spot with an overall Automation Readiness Score of 69.40, Michigan serves as another clear testament to the Rust Belt’s tech renaissance.
- Manufacturing GDP Contribution: $114.07 Billion
- Active Robotics Footprint: 10.9% of plants (Ranked #3 nationally)
- AI Business Integration: 15.2%
- Commercial Electricity Costs: 14.92 cents/kWh
Driven by its deep automotive roots, a staggering 10.9 percent of all manufacturing plants in Michigan utilize robotics, ranking third highest in the entire nation, surpassed only by Wisconsin and Iowa. The state supports this hardware push with an immense manufacturing workforce of 597,600 employees (representing 5.83 percent of its population) and a strong network baseline of 334.1 Mbps.
While its commercial electricity costs are slightly higher at 14.92 cents/kWh, Michigan’s healthy manufacturing productivity score of 103.61 and massive $114.07 billion industrial GDP output demonstrate that its factories are successfully deploying automated architecture to keep their legacy supply chains globally competitive.
A Wider View: Connecting Cost, Labor, and Automation
When this new data is layered over our previous research, it forms a clear picture of the ongoing challenges facing modern American operations.
In our 2025 Cost of Manufacturing Report, we focused on how rising overheads and volatile utility expenses were squeezing traditional margins. We then highlighted the human element in our 2026 Manufacturing Labor Shortages Report, tracking an intense talent crunch where employers in smaller, specialized states were caught in aggressive bidding wars for scarce labor.
The reality is that automation is no longer an optional upgrade for optimization – it has become the primary defense against high overhead costs and a lack of experienced personnel.
MIE Solutions’ Labor Shortages Report data
However, a stark disconnect remains between where automation is needed most and where it is actually viable to deploy. Our 2026 labor report flagged Virginia as a region under severe hiring strain due to a shallow local talent pool. Looking at our automation index, Virginia sits in a promising strategic position at #17. It features high network speeds (505.6 Mbps) but low current robotics implementation (4.1% of plants). For Virginia operators, aggressive capital allocation toward automated machinery is the fastest way to break free from their persistent hiring bottlenecks.
Where Output Meets Structural Bottlenecks
California: Squeezed by Resource Realities
Despite a massive industrial footprint, California ranks down at No. 34 on our index with an Automation Readiness Score of 54.14.
- Manufacturing GDP Contribution: $381.90 Billion (Ranked No. 1)
- Energy Costs: 29.46 cents/kWh
- Robotics Plant Penetration: 4.1%
- Average Internet Speeds: 93 Mbps
- Business AI Integration: 5%
While California dominates raw financial output, it faces a massive roadblock when it comes to automated scaling. Advanced factory floors require massive amounts of power. With commercial electricity rates sitting at an expensive 29.46 cents/kWh, the financial penalty for running automated hardware is incredibly steep.
Average internet speeds in the Golden State are also lagging behind the rest of the country. With AI and automation requiring solid, reliable and fast internet, California stands out as falling behind in this category.
Montana: High Operational Demand vs. Infrastructure Deficits
Ranking near the bottom at No. 45 with a readiness score of 45.05, Montana highlights the unique challenges faced by rural, expanding markets.
- Average Internet Speed: 110.5 Mbps
- Manufacturing Productivity Score: 112.09 (Highly efficient)
- Active Robotics Footprint: 4.9% of plants
- Business AI Integration: 2%
Our 2026 labor report previously revealed that Montana is under intense hiring pressure, driven by a small, isolated workforce of just 20,800 manufacturing employees. The automation data shows that Montana’s manufacturers are eager to innovate, boasting a strong productivity growth score of 112.09 and 18.2 percent AI adoption rate among businesses. However, they are severely throttled by a lack of digital infrastructure, with average internet speeds lagging at a slow 110.5 Mbps. Without stronger data networks, smaller rural shops in Montana cannot easily deploy the cloud-connected ERP systems and automated workflows needed to offset their labor deficits.
Hawaii: Bottom of The Pile
Hawaii rounds out the index at No. 50 with a total readiness score of 21.21.
- Commercial Electricity Costs: 38.79 cents/kWh (Highest in the nation)
- Active Robotics Penetration: 2.2%
- Business AI Integration:4%
- Manufacturing Workforce: <1% of the population
An economy traditionally optimized for logistics and tourism, coupled with the nation’s highest energy costs, creates a highly restrictive environment for capital-intensive digital manufacturing.
Dean Dunagan, Vice President of Sales for MIE Solutions, commented:
“Our Automation Readiness Report completes a story we’ve been tracking across the manufacturing industry. In our 2025 Cost of Manufacturing Report, we found manufacturers facing rising operational costs and mounting financial pressure. Then, our 2026 Labor Shortages Report highlighted a growing talent gap, with many factories struggling to find the skilled workers they need.
“What this new readiness index shows is the result of those two challenges coming together. Automation is no longer just a way to improve efficiency or gain a competitive edge – it’s becoming essential for manufacturers that want to stay viable and grow.
“To adapt, many forward-thinking manufacturers are turning to advanced ERP software like MIE Trak Pro to connect their supply chain data, production scheduling, and shop floor operations into one streamlined system. That kind of visibility and coordination is increasingly critical in today’s environment.
“Manufacturers operating in states with infrastructure limitations, such as Montana, or higher operating costs, such as California, face even greater challenges when it comes to scaling. Success today isn’t just about improving internal processes. Manufacturers also need to consider how prepared their broader regional ecosystem is to support digital transformation and automation.”
Methodology
MIE Solutions analyzed a variety of factors for 50 U.S. states, including average internet speed, size of manufacturing workforce, GDP spent on manufacturing, manufacturing productivity score, percent of manufacturing plants using robotics, and the number of businesses using AI tools.
These factors were given equal weighting between 0-100 using an index formula to provide a fair comparison between the analyzed states to create an Automation Readiness Score.
Sources:
Broadband speed: World Population Review
Productivity score: U.S. Bureau of Labor Statistics
GDP spent on manufacturing: Bureau of Economic Analysis
Manufacturing workforce: U.S. Bureau of Labor Statistics
Commercial electrical costs: ElectricChoice.com
AI uptake statistics: U.S. Census
Robotics coverage: U.S. Census
