Pittsburgh Built an AI Economy. Now the Rest of the Region Gets to Use It.

The biggest gains from Pittsburgh's AI growth are available to the companies that put AI to work, and in this region that includes manufacturers, distributors, health care suppliers, and professional service firms as much as robotics startups. The infrastructure to help them is already here: a deep technology base, a talent pipeline tied to the universities, and industry networks that connect peers who have already started.

I spent Wednesday morning at the Pittsburgh Technology Council's New Member Breakfast. Proxigee Services is one of the Council's newest members, and I went expecting the usual round of introductions and coffee.

What I heard instead was a map.

How big is Pittsburgh's AI economy?

Pittsburgh's AI and robotics cluster includes more than 120 robotics companies, more than 120 AI companies, and over 55 academic labs and support organizations, according to the Pittsburgh Robotics Network.¹ The 122 active deep tech companies in the region have raised more than $10 billion over the past seven years.¹

The broader economy is moving with it. The Allegheny Conference reports that 2025 was its strongest project year in over a decade, with 23 major business investments, 18,622 jobs supported, and more than $16.1 billion in capital investment.² AI and robotics sit at the top of its 2026 priorities, alongside life sciences and energy.²

Those numbers describe the companies that build AI. They say much less about the companies that use it.

Why does the opportunity sit with companies outside the tech sector?

A region gets the full return on its technology base when the companies around it become customers and adopters of what it builds. I have watched that happen here before.

I spent years at two Pittsburgh software companies, FreeMarkets and SmartOps. Both were built in this city. Both made their living selling to manufacturers. FreeMarkets ran online sourcing events for industrial buyers. SmartOps brought inventory optimization to companies that make and move physical goods, and SAP eventually acquired it.

The pattern I took away from those years is that software built in Pittsburgh grew fastest when it solved a problem for the industrial economy sitting right next to it. AI is following the same path, at a faster pace and a far lower cost of entry.

A region's AI economy reaches its full strength when the companies outside the tech sector put it to work.

The midsize manufacturer in Washington County, the distributor in Cranberry, and the engineering firm in Robinson are the next chapter of this story. They have the processes, the data, and the customer relationships that make AI valuable. What they often lack is a place to start and people to start with.

For manufacturers in particular, I laid out where a western Pennsylvania manufacturer should start with AI, from reliable materials to responsive supply chains.

The breakfast was a good reminder that the region has built both.

Where does a Pittsburgh business find people who understand AI?

The Pittsburgh Technology Council connects employers directly with the region's universities, emerging STEM talent, and apprenticeship programs, which gives a midsize company a path to AI skills that does not depend on outbidding the largest employers in town.

Marie Pelloni, the Council's Senior Director of Talent and Workforce Development, walked through how the Council builds connections between academia and industry for the workforce the region will need. The Council's own programs include a career connector for STEM professionals and Apprenti PGH, a registered apprenticeship path into technology roles.³

The pipeline starts in high school. This August I served as a mentor in the Council's L.A.U.N.C.H. program, which brings high school students into the region's technology companies to explore STEM careers alongside working professionals.⁴ Some of them will be building and running AI in Pittsburgh companies within a few years, and the businesses that open their doors to them now will be first in line.

For a company of 200 people, that matters more than it sounds. In my experience, the hardest part of AI adoption for a midsize company is rarely the software. It is having two or three people inside the business who understand both the work and the tools well enough to connect them. Growing those people from the region's talent base, and training the team you already have, is usually faster than trying to hire a finished expert. I made the case for coordinated training in why AI enablement cannot be left to individual initiative.

Who can a Pittsburgh business learn from?

The fastest way for a midsize company to learn AI is from a peer that is one or two steps ahead, and the Council's industry networks exist to make those introductions.

Monica Takacs, the Council's Senior Director for Industry Networks, described the communities where members in the same field meet and compare notes. The Council lists networks for information technology, advanced manufacturing, and defense and robotics, plus a private member community on LinkedIn with more than 16,000 people.³

Peer learning is underrated in AI. A vendor demo shows what a tool can do. A peer in your industry tells you what it took to get it running, what the team pushed back on, and what they would do differently. That second conversation is worth more, and in Pittsburgh it is usually one introduction away.

How does a regional technology council help a company grow?

A technology council gives its members a voice with the state and federal governments and a door into public sector markets, which are among the largest buyers of technology.

Brian Kennedy, the Council's Senior Vice President of Operations and Government Affairs, explained how the Council represents the region's growing industries, including manufacturing, energy, and the data centers that AI runs on, at both the state and federal level. The Council also runs a Business-to-Government series for members who want to sell into the public sector.³

For a midsize company adopting AI, the practical value is twofold. Someone is keeping the region's growth industries visible where decisions get made. And a new AI capability can open a market, including government, that was out of reach before.

What should a Pittsburgh company do first?

Pick one business problem where AI can show a result in weeks, and pick one connection from the region's network to help you think it through.

Here is the sequence I recommend to clients across the region:

Name the goal before the tool. Decide what you want AI to improve, and set a few simple guardrails for what data it can touch. I wrote about starting with goals and governance because it is the step most companies skip.

Put AI behind the systems your people already use. The deployments that last tend to sit behind a familiar screen. The two client cases in my piece on integrating AI with existing systems show what that looks like in practice.

Borrow the region. Join a peer network. Talk to the universities about interns or capstone projects. Go to the events where the companies building AI are looking for the companies that will use it. Robotics and AI Discovery Day brought exhibitors and investors to the David L. Lawrence Convention Center in September, and AI Horizons brought national speakers to Bakery Square. I wrote about one of those sessions in what BNY's build-your-own AI teaches a midsize business.

Proxigee Services is an AI consulting firm based in Wexford, Pennsylvania, that helps small and midsize businesses across the Pittsburgh region put AI to work inside the systems and teams they already have. You can see how we work with Pittsburgh companies, or read about Terry Lyon's background.

The table is already set

Pittsburgh spent two decades building one of the country's deepest robotics and AI ecosystems. The Council breakfast made clear how much of that ecosystem is built to reach companies like the ones in that room: new members, many of them small, most of them outside the tech sector.

The region has set the table. The companies that pull up a chair will write the next chapter.