If AI Takes Everyone’s Job, Who’s Going to Buy a Garbage Plate?

Published by RochesterAI | April 2026

That question sounds like a joke. It is not really a joke.

It is actually a really important economics question hiding inside all the noise about AI and jobs right now. And the honest answer is: nobody knows. Not the researchers. Not the CEOs. Not Sam Altman, who last weekend published a set of guiding principles for OpenAI built around something he calls “democratization” while the rest of Silicon Valley spent the same week announcing more layoffs and calling it innovation.

That.... tension?.... is worth sitting with. It is exactly the kind of thing Rochester businesses and nonprofits should be talking about before someone else frames the conversation for them.

What the Headlines Say

Anthropic CEO Dario Amodei has said- repeatedly and with much authority - that AI could eliminate half of all entry-level white-collar jobs within five years. The Verizon CEO put potential unemployment from AI and robotics at 20 to 30 percent. Jack Dorsey cut nearly half of Block’s 10,000-person workforce in early 2026, publicly stating AI had made those roles unnecessary- it sure wasn't overstaffing during the pandemic:)- and predicting most companies would reach the same conclusion within a year.

In 2025, nearly 55,000 job cuts were directly attributed to AI, according to Challenger, Gray and Christmas, out of a total 1.17 million layoffs, the highest level since the 2020 pandemic. Major companies explicitly cited AI when announcing cuts: Workday, Amazon, Microsoft, Salesforce. The list is long and the language in those announcements is consistent. AI is doing work humans used to do.

We can debate the validity of why these cuts are happening. But its a real thing that's happening.

So What Does the Data Actually Show?

Here is where the picture gets genuinely complicated.

In 2024, AI-related hiring reached about 119,900 jobs. Confirmed AI-driven losses were about 12,700. That ratio is hard to square with the apocalyptic framing. Employment gains from AI and the data center buildout dwarf the displacement effects from automation. Instead of hollowing out the workforce, AI is reshaping it, creating new job opportunities across the economy.

The World Economic Forum’s Future of Jobs Report 2025 projected 92 million roles displaced by 2030 while 170 million new roles emerge, a net gain of 78 million. Every credible major-institution projection shows net job growth, even as transitions and disruptions remain real and painful for specific workers.

But here is the catch that the optimistic headline buries. Net job growth means very little to the customer service worker in Rochester whose role was eliminated this quarter. The new jobs being created are concentrated in AI engineering, data science, cybersecurity, and infrastructure construction. Those are not the same jobs that are going away, and they do not require the same skills, pay the same wages, or exist in the same communities.

So the picture is this: aggregate numbers look stable or even positive, and the experience at the level of individual workers and specific job categories tells a harder story. Both things are true at the same time.

The Part Where It Gets Philosophically Interesting

There is a paper worth knowing about. Two economists at the University of Pennsylvania and Boston University published it in March. They used game theory to explain something that has been nagging at a lot of people.

The core finding: every company automates because the alternative is being undercut by competitors, but collective automation destroys the consumer demand all companies depend on. Each firm that automates captures the full cost savings from cheaper labor, but the resulting demand destruction is spread across all firms in the sector.

Game theorists call this a Prisoner’s Dilemma. Every player can see the cliff. Nobody can afford to brake. The resulting loss harms both workers and firm owners. More competition and better AI amplify the excess.

The counterintuitive finding that most coverage missed: this is not a transfer of wealth from workers to owners. The companies that fire everyone do not get richer. They get poorer, because the people they fired were also their customers and the customers of every other firm in the economy.

Which brings us back to the Garbage Plate.

For better or worse, Rochester has been eating our beloved Garbage Plates since as long as I can remember. The customer base of the places that sell Garbage Plates is not venture capitalists or enterprise software buyers. It is people who live here and work here. If that customer base shrinks because the jobs they worked at got automated away, the math does not get better for anyone in this city.

The economists’ answer to this problem is something called an automation tax. Basically, force companies to account for the demand destruction they’re exporting to everyone else. Maybe that happens. Parts of Washington are genuinely engaged with it right now.

But Rochester has never been first in line for federal policy solutions. So the question becomes what happens at the community level while we wait.

The "Democratization of AI"....hang with me, there's a point here I assure you:)

Last weekend, OpenAI’s Sam Altman published five guiding principles for his company. The first one was “Democratization.” He wrote about resisting the consolidation of AI power in the hands of a few and ensuring decisions about the technology are shaped by democratic processes rather than just AI labs.

Altman described AI as a transformative force that could surpass past technological revolutions, envisioning widespread flourishing and highlighting universal prosperity as a central goal.

That is a genuinely appealing vision. It is also worth asking what it means in practice.

A South Wedge bakery getting access to an AI scheduling tool is not the same as that bakery’s neighborhood retaining the purchasing power of the people who might otherwise have been replaced by those tools three companies up the supply chain.

Democratization of access and democratization of outcomes are two very different things. Altman is describing the first. Rochester needs to be thinking about the second.

What This Actually Means Here in the Flour City

The honest answer to whether AI layoffs are happening is: yes, in specific sectors, concentrated in specific roles, and at a pace that the national aggregate numbers do not fully capture. The honest answer to whether it is an apocalypse is: not yet, and probably not in the way the scariest headlines suggest.

For a Park Avenue boutique, a Gates manufacturer, or a nonprofit trying to serve Monroe County, that structural pressure is already arriving. Not through their own automation decisions, necessarily. Through the decisions of the companies whose employees are their customers.

That is the conversation worth having. Not “will AI take my job” but “what happens to this community if enough jobs in enough places get restructured, and the people who used to buy things here stop buying things here.”

The Rochester economy is not a financial model. It is a network of people who depend on each other. That is actually a different kind of system than the ones the economists are modeling. It responds to different levers.

Grassroots conversations about this, in this city, among business owners and nonprofit leaders and workers who live here, are not a replacement for federal policy. But they are also not nothing. Communities that understand what is happening to them are better positioned to respond to it than communities that are still waiting for a consensus from the experts.

What is not mixed is this: the decisions being made right now, in boardrooms that are not in Rochester, will shape this city’s economic landscape for the next decade. The question is whether Rochester is a passive recipient of those decisions or something more active than that.

It's not too late - in fact I'd argue that the time is right now - to map out the people impact of AI in places like Rochester, NY. Inserting ourselves into the conversation now - through grassroots, ground floor conversation with local nonprofits and small businesses- will allow for a real 'democratization' of AI that folks like Sam Altman probably aren't thinking much about.

RochesterAI helps Rochester-area small businesses and nonprofits understand and use AI practically, without the Silicon Valley hype. If this raised questions you want to think through for your organization, reach out at RochesterAI.org.