Rethinking Worker Wealth in AI: Policy, Not Ploys

He tells workers they can build wealth in the AI era — and you'd like to cheer. But here’s the thing: saying workers can get rich is not the same as showing how power, capital and institutions change hands. Vivek Ramaswamy’s Wall Street Journal opinion plants a flag on optimism; I’ll agree with part of that flagpole, then poke holes in the banner with a pocketknife. Also, I saw a robot bartender at CES last year that spilled a drink on my coat, so I’m sympathetic to tech — and narratives — that promise more than they deliver.

Let’s start with what Ramaswamy gets right: putting workers at the center of an AI wealth conversation is a welcome change from the usual investor worship. There’s genuine value in telling people they’re not doomed extras in a story starring neural networks and venture capitalists. Framing workers as potential owners rather than inevitable casualties is healthier than the doom spiral we usually see. Motivation and aspiration matter; they affect career choices, risk tolerance, even whether someone bothers to learn the tools. A culture that says “you can own a piece of this” is better than one that mutters “you’re lucky to have a job, don’t ask questions.”

But ownership is not a cheerleader’s pom-pom.

Ramaswamy argues that workers can build wealth as AI spreads. Look, I’ll be honest — worker ownership and participation sound morally right and politically smart; who wouldn’t want employees to hold a stake in the tools they help create? It’s a compelling narrative. But owning a piece of something doesn’t automatically confer bargaining power, nor does it insulate people from concentrated market power. Sure, equity is better than crumbs. Yeah, no, equity that vests slowly in a company facing monopolistic competition or whose business model is built on rent extraction can turn into a mirage.

Here’s the thing: wealth-building requires not just ownership but meaningful, liquid ownership — assets that can be converted into usable wealth without surrendering the future. You can call that what you like; I call it the difference between a participation trophy and a tradable claim. Ramaswamy’s optimism leans on a market where entrepreneurial exits and rising valuations are the norm; that’s a big assumption he doesn’t have to prove in a short opinion piece, but readers should notice the gap. For workers, the devil lives in tax codes, buyout terms and corporate governance — not in slogans. Ask anyone who joined a buzzy company, watched the valuation soar on paper, then discovered their options were illiquid, underwater, or swallowed by a merger whose gains flowed up, not out.

We’ve actually run versions of this experiment before. Think about how stock options were sold to rank-and-file employees in high-growth tech firms: “You’re an owner now.” In practice, early investors had information, timing and control; workers had vesting schedules and hope. When the music stopped, ownership turned out to be highly stratified — same song, different verse. Worker “stakes” in AI-heavy companies risk repeating that pattern if the underlying governance model still prioritizes platform scale and investor liquidity over broad-based upside.

He says AI creates opportunity. I buy that in spirit. Algorithms will make some tasks obsolete and make other tasks more valuable. But will that dynamic create widely distributed wealth? That hinges on institutions: labor law, competition policy, capital markets. It also hinges on whether AI enhancements are packaged as tools that increase worker productivity or as platforms that centralize rents for a small set of owners. Imagine a world where every clerk uses a smart assistant, but all the licensing revenue goes to one firm headquartered in a city workers never visit. That’s not wealth-building; that’s wage maintenance with better apps.

This is where policy and collective action matter — and here’s where Ramaswamy is light on specifics. He frames the problem as one of worker initiative; there’s merit in agency, obviously. But workers aren’t atomized chess pieces; they’re embedded in firms and economies shaped by antitrust enforcement, patent regimes and financial incentives. Throwing entrepreneurship at people is noble, but it won’t fix structural incentives that tilt returns heavily toward scale and platform control. We’ve already seen how platform dynamics can compress suppliers’ margins while preserving the platform’s; swapping “AI marketplace” for “ride-hailing” or “app store” doesn’t change that math.

Let me be blunt: retraining seminars and stock options are not the whole playbook. Practical levers include portable benefits, reforms to how intellectual property is shared within organizations and mechanisms that let workers capture value when their labor helps create assets. These ideas aren’t glamorous. They won’t sell headlines at cocktail parties. But if you want workers to build wealth, you need mechanisms that translate productivity gains into tradable claims or durable income streams. Think profit-sharing that isn’t discretionary, or employee ownership models with governance rights, not just lottery-ticket equity.

And yeah — maybe Ramaswamy thinks the market will self-correct, or that cultural changes will nudge firms to share more upside. Sure, but cultural nudges are weak against concentrated capital; history and science fiction both teach that power likes to calcify. (I keep thinking of a line from a Cordwainer Smith story — civilization’s shiny tools, then the same tools become the chains.) Absent rules, the gravity of existing capital structures tends to pull new wealth into old hands.

There’s also a counter-argument I’ll admit before I dismantle it: maybe emphasizing worker agency generates a positive feedback loop. If workers believe they can build wealth, they invest in skills, startups get founded, and new markets form. Motivation matters. Fine — morale and belief are not nothing; they can catalyze real change. But motivation without structural levers risks producing stories of a few breakout successes and many left watching from the margins. Belief is a necessary fuel; institutions are the engine.

So the real test of Ramaswamy’s thesis isn’t whether workers can, in theory, build wealth in an AI era, but whether firms and policymakers actually redesign the plumbing around ownership, liquidity and bargaining power. If his optimism translates into pressure to rewrite those rules instead of just repeating the pep talk, workers might actually see the upside he’s promising.