Ramaswamy's AI-wealth plan misses workers' real needs

So Ramaswamy says workers can build wealth in the AI era. He says it like an answer. But the Wall Street Journal byline sits on top of a piece with almost no arithmetic, no mechanisms, and no policy scaffolding. Frankly, that matters.

To be fair to him for a moment, the core instinct isn’t crazy. Technology waves have created new fortunes and, occasionally, broadened ownership. Think of early Microsoft employees who became millionaires on stock, or rank-and-file workers at Costco whose pay and benefits rose with a successful model. The idea that AI could expand the pie and let workers own more of it is not inherently delusional.

Right now, though, the piece is basically telling workers to trust that this can happen without explaining why it would. Optimism is doing all the work that institutions, law, and capital design should be doing.

Who actually captures the upside?

Ramaswamy’s optimism is politically useful. It comforts voters. It sounds pro-worker. The math doesn’t lie — except here, there’s no math on the page. You can make a case that technological change creates new opportunities. You can also show how capital owners, platform controllers, and winners with scale capture most rewards. Both can be true at once, and the interesting question is which force dominates in AI.

From my Goldman days I learned how incentives allocate capital and, by extension, power. Capital doesn’t go where the speeches are; it goes where the term sheets are. Equity and options accrue to founders and early investors long before rank-and-file workers see anything meaningful. Saying workers “can” build wealth is not wrong on its face; it’s vacuous without describing how widespread employee ownership, portable equity, or strengthened bargaining would actually reach them. Claims without mechanisms are PR dressed up as policy.

Let’s be real: the difference between a pep talk and a plan is measurable. Where does the capital come from? Who underwrites risk? How do you prevent winner-take-most dynamics from siphoning gains to the top? Ramaswamy’s column raises hope but leaves the transfer function undefined.

Two structural chokepoints

First chokepoint: distribution of bargaining power. Technology can automate tasks; it doesn’t automatically elevate workers’ ability to claim a share of productivity gains. Market concentration in cloud infrastructure, platforms, and data means a small set of gatekeepers can monetize access and set the terms. Employees at those gatekeepers may get stock — especially at the top. But the broader workforce often faces commoditization, shorter contracts, and weaker negotiating power. Telling this group to “build wealth” presumes redistributive mechanisms that simply aren’t in place.

Second chokepoint: access to capital and networks. Building a software-enabled business or joining a promising startup requires more than skill; it requires money, legal frameworks, mentors, and friends who can open doors. Silicon Valley didn’t appear out of thin air. It was constructed by networks, institutions, and concentrated investment that funneled early upside to people already near the center. If every displaced worker is supposed to become an owner or founder, where’s the blueprint for financing, equity allocation, and risk-sharing? Ramaswamy gestures at possibility without filling in the steps.

Look at actual companies. Employee stock ownership plans at firms like Publix or WinCo show that broad-based equity can turn ordinary workers into meaningful shareholders — but only because the governance, tax treatment, and capital structure were engineered to do exactly that. That kind of engineering is what’s missing in the AI-wealth story he tells.

Optimism is not a term sheet

I’m not arguing for pessimism as a lifestyle brand. There’s a realistic approach that ties innovation to worker upside: worker ownership models, broad-based equity, wage and benefit portability, and accessible funding for small-scale entrepreneurship. Those are institutional fixes, not slogans. They require regulatory change, tax design, and corporate governance reforms — none of which appear in the column.

A quick self-challenge to my own critique: maybe Ramaswamy meant to spark imagination rather than provide a policy white paper. Fine. Messaging matters. It can set expectations and expand the menu of what people think is possible. But optimism without specificity easily becomes a substitute for real reform — and that helps incumbents, not workers.

Here’s the other problem: rhetoric doesn’t move balance sheets or legislation. If the claim is that workers will build wealth at scale, then the piece should at least map the levers. How much ownership is on the table? Through what legal structures? How do workers avoid endless dilution in AI-heavy firms where capital needs are massive? How do they get liquidity without fire-selling their stake? Without that, it’s hopeful advertising.

The frictions Ramaswamy skips

Let’s talk about practical frictions. Equity is illiquid; options can be worthless; startup upside is highly skewed. Anyone who has held underwater options at a “hot” company knows the punchline. If you tell a delivery driver or a midlevel engineer that AI will let them build wealth, the promising narrative collides with vesting schedules, opaque cap tables, capital calls, and network effects that concentrate returns. You can’t paper over those frictions with platitudes.

There’s also a political dimension he skirts. Wealth-building policies implicate taxation, corporate governance, and labor law. Those are contentious, and they invite organized resistance from interests quite happy with the current split. Pro-worker wealth building would require coalitions across business groups, unions, and policymakers — not a one-column manifesto. If he’s serious about enabling workers, he has to propose concrete institutional changes that can survive actual politics, not just applause lines.

One last point: technologies can lower entry costs in sectors like content, design, and software. AI tools can make a solo creator or tiny firm look larger than they are. That can empower some workers to become owners. But lowering costs doesn’t guarantee equitable gains. Scale advantages, data moats, and platform fees still tilt returns toward those who control distribution and infrastructure. So yes, pockets of worker-owners will emerge. Widespread wealth creation is a different benchmark, and pretending they’re the same thing is convenient for people already holding the equity.

Ramaswamy planted a flag with a confident headline about workers and AI. If he ever matches that confidence with detailed architecture — actual mechanisms, legal structures, and capital flows — then his thesis stops being a slogan and starts being a spreadsheet you can test.