Ryan York
A Framework for the Progressive Platform

The Empty Quadrant:
A Progressive Case for AI Abundance

Why progressives must own both AI as the engine of abundance and the equitable distribution of what it creates.

May 1, 2026 · 16 min read

The 2028 Democratic primary conversation begins in earnest within the year, and the midterms are here. Progressives are walking into both unprepared — not because they lack moral conviction, but because they've failed to pair that conviction with a credible theory of how to actually generate the prosperity they want to distribute.

This is a problem. And it's solvable. But solving it requires the progressive movement to do something uncomfortable: fully embrace artificial intelligence as the most powerful engine of abundance in the history of humankind, while simultaneously demanding — with real teeth — that the abundance it creates is equitably shared.

These are not competing priorities. They are co-equal commitments. And right now, no major group in American politics is seriously offering both.

Before going further, a distinction that this essay depends on: artificial intelligence is not the companies currently building it.

This matters because progressive skepticism of Big Tech — of Meta, of Google, of OpenAI, of the handful of firms consolidating capital and influence at historic speed — is entirely warranted. These companies should be held to much higher standards on taxes, labor practices, human rights, transparency, and equitable distribution of the value they generate. That fight is real, and progressives should wage it.

But that fight is not the same as a fight against AI. The technology is something different from the institutions that happen to be producing it right now. Electricity was not General Electric. The internet was not AOL. And AI is not the current roster of frontier labs, however much they'd like it to be.

Conflating the two is the trap. Be hawkish on the companies. Be bullish on the technology.

When progressives treat AI itself as the adversary — rather than treating the concentration of its benefits as the adversary — they end up opposing the only engine capable of generating the prosperity they're fighting to distribute.

Picture a simple framework. The vertical axis is commitment to an abundance agenda — the willingness to build aggressively, to invest in infrastructure, energy, technology, and the systems that generate prosperity. The horizontal axis is commitment to equity — the insistence that prosperity is distributed fairly, that healthcare is universal, that rights are protected, that taxation is progressive, that the economy works for everyone.

Now place the major political factions.

Top left — the Republican party. In theory, the party of free markets and deregulation. In practice, MAGA-era conservatism is protectionist, hostile to the immigration that fuels labor markets, indifferent to infrastructure, and willing to impose tariffs that are literally policies of chosen scarcity. On equity, there is no pretense. This is the natural evolution of free-market ideology without a commitment to equity: the pursuit of abundance, untethered from any obligation to share it, concentrates power among those who already have it.

Bottom right — the progressive party, today. This is where the moral clarity lives. Sanders, AOC, Mamdani — leaders willing to take genuine stands on wealth inequality, healthcare, labor rights, LGBTQ+ protections, and the structural injustices that define American life. The progressive commitment to equity is real and it matters. But on abundance, the progressive left is increasingly positioning itself as an obstacle. When leaders call for pausing all data center construction — as Sanders and AOC did with the AI Data Center Moratorium Act in March 20261 — they aren't protecting the future. They're ceding it. You can't distribute prosperity you refuse to generate.

The pattern is clear: going hard on one commitment without the other leads to failure. Abundance without equity produces oligarchy. Equity without abundance produces stagnation. Both are dead ends.

The two dead ends — abundance without equity and equity without abundance

Bottom left — the soft center of the Democratic Party. The Newsom, Shapiro, Schumer, Ken Martin wing. They poll-test their way to positions that offend no one and inspire no one. They use the language of universal healthcare and progressive taxation in campaigns, then shelve it in governance because it would upset their donors. Their function in the party is management, not leadership. They manage decline politely.

Top right — the empty quadrant. High commitment to abundance. High commitment to equity. The willingness to build aggressively and the insistence that what gets built serves everyone. No major group in American politics is credibly occupying it. And it is exactly where the progressive movement should plant its flag.

The Thesis

Progressives need two co-equal commitments.

First, an abundance agenda. The deliberate, aggressive pursuit of building the systems that generate prosperity at scale. This means embracing AI not cautiously, not grudgingly, but as the most significant tool for expanding human capability ever created.

The acceleration is already real. The first drug with both target and molecule designed entirely by AI completed Phase IIa trials in 2025.2 Materials discovery is compressing from decades to months.3 Pair political will with a technology whose capabilities compound on themselves, and scarcity becomes a choice. Accepting that choice is a moral failure.

A great loom — the mechanical framework of abundance

Second, equitable distribution. Abundance has to reach everyone — and reach them in ways they can point to in their own lives. That doesn't happen by accident. It has to be built.

People are born into vastly different circumstances. Some barriers are natural — disability, geography, the accident of poverty. Others were built on purpose — laws and systems that have limited access for people of color, women, LGBTQ+ Americans, and plenty of others. The result is unequal access to wealth, healthcare, education, and opportunity. That's not an abstraction. It's people dying of treatable diseases. It's children whose potential is wasted before they turn ten.

The progressive job is to fix that, by designing where prosperity flows. Progressive taxation funds public goods. Universal healthcare decouples coverage from employers. Labor protections give workers a seat at the table. Civil rights law removes barriers that shouldn't exist. Reinvestment requirements make sure the communities generating wealth share in it.

The libertarian answer is: generate abundance, and the market will sort it out. It won't. It never has. Without deliberate design, abundance flows to whoever already has the most. The progressive job is to build the channels that send it somewhere else — not by restraining capitalism, but by aiming it at more people.

So what does the abundance commitment actually look like in practice? It starts with refusing the instinct to pause.

AI isn't a policy topic to have opinions about. It's a transformation already underway. The question isn't whether it happens — it's who shapes it, and toward what ends. Right now, progressives are answering by default: someone else will, because Sanders and AOC were too busy introducing moratorium bills.

Take the data center debate. The environmental concerns are real. But a unilateral pause doesn't solve them — it just cedes ground. China's top firms are investing over $70 billion annually in AI infrastructure.4 Saudi Arabia has committed over $100 billion.5 A moratorium is energy policy as unilateral disarmament.

The progressive response should be sharper:

  • Set carbon standards, then co-invest in the renewables and cooling tech needed to meet them.
  • Incentivize rural construction.
  • Require water recycling and fund the engineering.
  • Establish reinvestment minimums so host communities share in what gets produced.

Set the moral standard, then build the bridge to meeting it.

The same logic applies to AI regulation broadly. Lawmakers in 45 states have introduced 1,561 AI-related bills in 2026 alone, on top of 1,208 in 2025.6 Who can afford that compliance burden? The largest incumbents. Every layer of AI-specific regulation risks becoming a moat dressed up as accountability.

Companies are already accountable under labor, civil rights, and consumer protection law. AI doesn't change the obligation — it changes the scale and speed of harm. So sharpen enforcement, fund rapid auditing, and demand real transparency. Regulate the outcomes, not the tools.

This is what progressive abundance looks like: not pausing the future, not handing it to incumbents, but building it on terms that make it work for everyone.

This is where progressives have the most to offer, and the hardest work to do.

AI will eliminate jobs. A lot of them. A customer service rep in Phoenix who took the job because it had benefits. A paralegal in Cleveland three years from her pension. A graphic designer in Austin who just signed a lease. These are the people the next five years hit first, and they deserve more from us than "we tried to stop it." They deserve a vision where their lives are measurably better in five years because of our agenda — not despite it.

The instinct to protect them is right. The method matters. The workers who built carriages did not stop the automobile. The question was always whether the transition destroyed their lives or built them new ones. That's the question now.

A factory floor in transformation

Slowing AI down is not solidarity. It's denial. The real work is building the infrastructure that makes the transition survivable:

Tech companies have to be transparent about what's coming and which industries get hit. Unions have to evolve from blocking change to shaping it — fighting for retraining, reskilling, and new bargaining structures. Government has to build safety nets that move at the speed of disruption: extended unemployment tied to retraining, benefits that travel with workers instead of jobs, education systems that can retool a workforce in years instead of decades.

None of this works if the parties keep fighting each other. Tech treats labor as an obstacle. Labor treats technology as an enemy. Government takes money from both. That's the current dynamic, and it's failing everyone in it.

The progressive position should be simple: we will navigate this transition together, and we will do it in a way that leaves people better off, not worse. That's not anti-technology. That's not anti-labor. It's the only position that takes both seriously.

Progressives are the only faction with the standing to demand equity from tech, the trust to bring labor to the table, and the will to build the public infrastructure that holds it together. If we don't do this — urgently, imperfectly, starting now — nobody will.

The 2026 midterms and the 2028 Democratic primary will define the party's direction for a generation. What the moment demands is a new archetype: candidates with Sanders-level moral clarity and a fundamentally different relationship with technology and markets.

Imagine a midterm slate and a primary where the serious contenders include figures like AOC, Ro Khanna, or candidates with the kind of pragmatic progressivism Talarico represents — leaders who share a moral foundation but bring different approaches, different theories of change. Races where the debate isn't whether equity matters (it does) or whether AI is dangerous (it can be), but how to build an abundance agenda and ensure it's equitably distributed.

This is not about any single candidate. It's about the framework they run on, and about the willingness to evolve. The technology is moving at a pace that makes political cycles look glacial. A position on AI that made sense twelve months ago may be obsolete today. A leader who staked out a cautious, skeptical stance on AI in 2024 should not feel obligated to defend it in 2026. The responsible thing is to change — not to abandon principles, but to update the strategies that serve them.

What we cannot afford is another cycle dominated by the soft center. The Newsoms, the Shapiros, the Schumers — they had their moment. That moment produced neither the prosperity nor the justice the country needs. Find moral clarity. Find strategic courage on technology. Or step aside for those who have both.

The Platform

Any serious progressive candidate in 2026 or 2028 should be prepared to commit to the following.

On Abundance and Accountability

Treat AI development as a strategic national priority on par with the space race or the interstate highway system. No blanket moratoria on infrastructure. Invest federal resources in AI research and the physical and digital systems that support an AI-powered economy, while expanding the share of AI-driven earnings that flows to wages, social services, and retraining programs. We should not live in a world where Waymos drive past the homeless. Compete globally by building faster and smarter than anyone else — the greatest minds in AI, wherever they are, should want to come here because this is where frictionless innovation happens.

The principle running through every commitment below: if you're profiting from AI, you fund what AI reshapes. Not as charity. As structural accountability.

On Education and Housing

Universal pre-K, subsidized childcare, and free public higher education — funded by an automation-adjusted corporate tax that scales with how aggressively a company replaces workers with AI. If your labor share of revenue drops below a threshold, your rate goes up, and that revenue funds the system that prepares the next workforce. If you're profiting from a workforce you no longer need, you fund the one that comes next.

Pair that with housing investment in the metros where AI wealth concentrates — funded by infrastructure siting fees on data center development and progressive treatment of investment property gains. AI is driving up housing costs precisely where the jobs are. The wealth it creates should build the homes its workers need.

On Labor and Wealth

Free upskilling and retraining for every American worker, fully funded by a capital efficiency levy on companies above a revenue threshold — because every company using AI is capturing productivity gains, and the workforce reshaped by those gains deserves a structural right to adapt. Pair that with sectoral bargaining, advance notice and mandatory severance tied to AI-driven layoffs, and portable benefits that move with the worker, not the job.

And catch the wealth before it calcifies. AI is going to mint trillionaires in private markets where retail investors can't participate. Mark-to-market taxation on unrealized gains above a high threshold, parity between capital gains and ordinary income, and an end to stepped-up basis. Decouple healthcare from employment entirely — in an economy of constant transitions, tying coverage to employers is an architecture designed to fail. Non-negotiable protections for civil rights, LGBTQ+ rights, and human dignity throughout.

On Regulation

Set reasonable safety floors for AI development — then focus regulatory energy on the companies deploying it. Fund federal capacity for algorithmic accountability — not a licensing regime that entrenches incumbents, but a rapid-audit infrastructure that can investigate discriminatory outcomes at the speed those systems operate. Require companies above a revenue threshold to publish annual impact assessments on how their AI deployments affect employment, pricing, and access. Public transparency as a regulatory tool, not bureaucratic gatekeeping.

On Leadership

Take positions. Real ones. Don't poll-test your way to a stance on AI, don't hedge with calls for more study when the technology is advancing daily, and don't confuse caution with wisdom. Fund the enforcement — equity commitments without enforcement budgets are press releases. Be flexible on the how. Be immovable on the what. The abundance agenda requires leaders willing to build. The equity agenda requires leaders willing to fight. The moment demands both.

The progressive movement has the values to ensure the most powerful technological transformation in modern history serves everyone — not just the wealthy, not just the technologically literate, not just the lucky. That architecture is real, it is tested, and it is the single greatest political asset the progressive left possesses.

But moral architecture without an engine is a blueprint for a building that never gets built. AI is the engine. Abundance is the project. And equitable distribution is the commitment that makes the whole thing worth doing.

The right won't do this — they don't care about equity. The soft center won't do this — they don't have the courage for either commitment. And if the progressive left won't do this — if it chooses to be Luddite in the most consequential technological moment of the century — then nobody will.

That's not acceptable. There are too many people counting on a better world for the people with the best values to be the ones standing in its way.

A world where the construction worker whose job got automated away last year is retraining on full pay. Where the data center going up outside her town is funding her kid's pre-K. Where the teacher, the firefighter, the nurse — the people who actually know what's broken — have the capital and the tools to build solutions, not just a ballot box and a prayer. That world is buildable. Nobody is building it.

The quadrant is empty. Fill it.

A vast open doorway

References

  1. 1.Sanders and Ocasio-Cortez introduced the AI Data Center Moratorium Act on March 25, 2026, proposing an immediate federal pause on data center construction.
  2. 2.The first drug with both target and molecule designed entirely by AI — Insilico Medicine's ISM001-055 for idiopathic pulmonary fibrosis — completed Phase IIa trials, with results published in Nature Medicine in June 2025.
  3. 3.World Economic Forum, "AI Can Transform Innovation in Materials Design," June 2025.
  4. 4.Goldman Sachs, "China's AI Providers Expected to Invest $70 Billion in Data Centers," November 2025.
  5. 5.AI Policy Bulletin, "Leveraging Gulf AI Ambitions for US Strategic Objectives," February 2026.
  6. 6.MultiState AI Legislation Tracker, March 2026.
  7. 7.Programs.com, "List of Companies Announcing AI-Driven Layoffs," 2026.
  8. 8.Goldman Sachs via SQ Magazine, "AI Job Loss Statistics 2026."

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