Indiana Makes Things. Can It Make AI-Ready Workers Fast Enough?

The question that kicks off the week

That's the base. Here is the pressure on top of it.

Conexus Indiana's Future Ready 2025 report projects 178,000 new advanced manufacturing and logistics jobs in Indiana by 2033, with roughly 85,000 of those likely to go unfilled if workforce shortages persist. Not because the work goes away. Because the supply of people coming into the workforce isn't keeping pace with the work the state needs done.

On top of that, the work itself is changing. Defect inspection by vision systems. Robots running full welding lines where 600 welders used to stand. AI-augmented instructions pushed to the floor through smart shields. These are already running in Indiana plants today.

So here is the question next week's content is going to sit with. Not answer. Sit with.

Indiana makes things. Can it make AI-ready workers fast enough to hold the line?

What "fast enough" really means

A welding line doesn't care about a five-year curriculum cycle. Neither does a vision-system upgrade. Neither does an OEM changing its quality spec with 90 days' notice.

Bryce Carpenter is the COO of Conexus Indiana. His organization convenes 140 companies four times a year through the Advanced Industries Council. Sitting down on the AI Ready Podcast, he described the speed problem plainly.

"They can't wait around 4 years for AI skills. They can't wait around 6 months for machine vision skills. They need them now."

Bryce Carpenter, COO of Conexus Indiana. Full conversation on the AI Ready Podcast, releasing Wednesday, April 30.

That is the clock every solution in this space runs against.

The nearly-10,000-company problem

Indiana's advanced manufacturing and logistics sector spans nearly 10,000 companies. Mid-size, small, family-held, global.

Here is something most people outside these plants don't know. Almost every one of those companies runs its own in-house soft-skills development program. Communication. Problem-solving. Adaptability. Team dynamics. Learning how to learn. The stuff that actually determines whether a worker can absorb a new tool when it shows up on the floor.

Every plant. Self-designed. Self-funded. Self-managed.

Bryce's words on that, on-record: "Wildly inefficient when we talk about productivity. It drains costs that could be reinvested into equipment. It could be reinvested into wages. We have to find a way to scale that."

Now add AI skill development on top. The same set of companies. Each one figuring out, alone, what prompt engineering means on a CNC floor. What "agent" means for a supply chain planner. What AI-literacy targets to hold a line supervisor to.

Multiply one boutique soft-skills program plus one boutique AI program across nearly 10,000 plants. That is the shape of the problem.

Where most Indiana plants actually are

Pause on this for a second.

There are roughly 1.6 million open AI engineering roles globally against 518,000 qualified candidates, per Second Talent's 2026 analysis. Robert Half pegs the national AI/ML engineer comp range at $134,000 to $193,000. Senior FAANG AI roles average $280,000 to $378,000.

That envelope is closed to almost every Indiana mid-market manufacturer. Not for some. For most.

So when one plant looks at another and assumes the other has hired in the AI capability they're missing, the assumption is almost always wrong. Both plants are on the same side of the same closed door. Both are looking around assuming the other figured something out, and quietly worrying that they haven't.

The feeling of being behind is real. The reason it's real is the same for almost everyone. The labor math is closed for the entire mid-market field. The pace of change has outrun the infrastructure that normally helps workers keep up.

That is the gap next week's content is about.

Where The 7 Levels of AI Proficiency comes in

We measure AI-readiness on a seven-level framework called The 7 Levels of AI Proficiency. A plant worker who can use a generative AI tool for a specific repeatable task sits around Level 2. A line leader who can integrate AI into a workflow and coach a team through it sits around Level 3. A process owner who can design an AI-augmented workflow and measure its effect on throughput sits around Level 4.

Most Indiana manufacturing workforces today sit somewhere between Level 1 and Level 2. The work that needs to get done by 2033 requires Levels 2 through 4 across broad parts of the shop floor, the planning room, the quality lab, and the front office.

That is the arc. That is the "fast enough" question in concrete terms. Move a workforce of 840,000 across two to three levels on a defined framework, in under a decade, while the technology itself keeps moving.

What next week is about

Monday, Tuesday, Wednesday, Thursday, Friday. Five articles across the week of April 28. Plus an AI Ready Podcast episode Wednesday, April 30 at 11 AM Eastern featuring Bryce Carpenter and Conexus Indiana. The whole arc sits on one question.

Who is actually set up to move 840,000 Hoosiers two to three levels on The 7 Levels of AI Proficiency in time?

Not a pitch. A real look at the scale, the speed, the existing infrastructure, and the gap.

If you run a plant, a line, an ops team, a workforce board, or a chamber in Indiana, next week is written for you.

The question starts today. The answers start Monday.

Related reading: The 7 Levels of AI Proficiency.

Harrison Painter

AI Business Strategist. Founder, LaunchReady.ai and AI Law Tracker.

Harrison helps teams build AI systems that cut cost and grow revenue. Nearly 20 years of business experience. 2.8M YouTube views. Founder of LaunchReady.ai and the 7 Levels of AI framework.

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