Most AI equity conversations get the diagnosis wrong.
Anyone can open the app. The model is essentially free. If technology access were the gap, it would already be closing. The gap is everything around the technology, and it has to be designed in.
Written from the back of the Audion at STAR Campus, First State AI Summit, June 3, 2026.
I am sitting in the Audion at the University of Delaware's STAR Campus. About two hundred people are in this room. Founders. Foundation directors. State representatives. University deans. A few of us building AI companies. More of us trying to figure out what AI is going to do to our work over the next ten years.
Sunita Chandrasekaran has been at the front, running the room with real precision. Krista Griffith, the Chair of the State AI Commission, spoke this afternoon. It is a good event. Delaware is doing real work on this.
And I keep hearing one question, asked five different ways.
How does this Institute make sure AI helps close the wealth and skill gap instead of widening it?
It comes from the front of the room and the back. From a foundation officer. From a small business owner. From a community college dean. From a young woman who introduced herself as a workforce development specialist. Every panel gets a version of it.
I want to write down what I think the answer is, because I think most of the conversation around AI equity gets the diagnosis wrong. I want to be on record about it.
The technology is not the gap.
Anyone can use ChatGPT. The model is essentially free. The tools are getting cheaper and easier every quarter. If technology access were the gap, the gap would already be closing.
What is actually the gap is everything around the technology. Training pathways. Customer access. Capital. Mentorship. Social proof. Time. Executive function. The connecting tissue that turns "I can open the app" into "I can build a business with this, get hired for an AI-supporting role, or restructure my work around it."
People who already had those things are using AI better. People who did not have them are using AI at the surface and falling further behind.
This means most AI literacy programs, taken on their own, will widen the gap they are trying to close. Literacy is the floor. It is not the ceiling.
The real leverage is downstream of the model.
If I had to bet on where the gap actually closes in Delaware, here is what I would watch.
State procurement. A meaningful share of state AI contracts going to small and minority-owned firms. A structure for AI work specifically, modeled on existing DBE programs. If state spending on AI goes 90% to enterprise vendors and 10% to working-class use cases, the gap widens. If that ratio inverts, it closes.
Workforce pipelines into AI-supporting roles. Annotation. Evaluation. Prompt engineering. Change management. Ethics review. Many of these are real wage opportunities that do not require a four-year degree. The labor market for these roles is already opening. The question is who gets routed into them.
Capital pathways for first-time founders. Programs like Delaware State University's Innovation Venture 2.0, which just funded Malcolm Coley's PrizeChips at $40,000. Pre-seed capital structured to find founders who do not already have the network.
Commission composition. AI Commission seats. Advisory boards. Procurement rule-making bodies. If the population most affected by AI's economic shift is not at those tables, the rules will optimize for someone else.
Civic AI that does not pre-suppose digital literacy. Voice-first interfaces. Accessibility defaults. The DMV portal pattern Delaware is already building. Public services where AI is in the background making things easier, not in the foreground gating access.
Five things. None of them are about teaching ChatGPT.
The trap is the constituency that shows up.
This is the part that gets missed in every AI equity discussion I have been in, and it has nothing to do with intent.
State AI institutes default-serve the people who show up to events. Foundations default-fund the projects they hear about. The constituency most at risk of being left behind by AI, by definition, does not show up to AI summits. They are working, caring for kids, trying to hold onto their current job. Flying to Newark on a Tuesday to attend a State of AI panel is not on the calendar.
If the Institute waits to be asked, it will widen the gap by default. Not because anyone in this room wants that. Because the structure of who shows up determines whose problems get worked on.
Equity has to be designed in. It does not emerge.
Why this matters to me specifically.
I built FirmSideAI on the thesis that AI is at a fork in the road. It can be the largest equalizer of this century. Without intentional work, it will instead amplify the inequality that already exists. Which version it becomes is not a question of technology. It is a question of who decides to make it the equalizing version, again and again, in rooms like this one.
I am also someone who was late-diagnosed neurodivergent. I spent fourteen years running a small retail business with an operating system in my head that the world did not understand. AI, properly built, is the digital prefrontal cortex that the neurodivergent population needs. Not as a metaphor. As a tool that does the executive function the brain underweighted, so the parts the brain overweighted finally land in the world.
That gives me a specific lens on the equity question. The population that benefits most from properly-built AI is the population that has been hardest to reach with conventional support. They are not just underserved. They are structurally invisible to most of the systems that decide where money and attention go.
If a state AI institute is serious about closing the gap, that is the population the work has to start with. Not as a side program. As the center of the program.
What I am asking the Institute to commit to.
Pick one underserved population in Delaware. Design an entire AI uplift program around them, end to end. Capital access, training pathways, customer connections, advisory representation, the full stack. Make it a real five-year pilot with measurable outcomes. Report publicly every year on whether it worked.
The Institute earns the right to lead on equity by doing one thing well. Not by mentioning the word in every panel description.
I will help. I am sitting in the room. I have a company built around this thesis and a network forming around it. If anyone reading this is in a position to scope that pilot with the Institute, talk to me. We can start in this room.
The point is not the post.
I am writing this from the back of the Audion because I think a question worth asking five times is a question worth answering once. The most useful thing I can do today is name what I think the answer is, in writing, while the people who can act on it are still in the same building.
If you are at the Summit and want to talk through any of this, find me before the closing remarks. I am wearing the FirmSideAI badge.
Mark Sanders is the founder of FirmSideAI, based in Newark, Delaware. He builds AI infrastructure for neurodivergent operators and civic-tech applications. He is reachable through firmsideai.com.