Ramaswamy's AI wealth pitch ignores policy needs

Ramaswamy argues workers can build wealth in the AI era. Fine. Say that enough and people nod. But the column treats wealth-building like a checklist: a little entrepreneurship here, a sprinkle of stock ownership there, and voilà—everyone’s rich. Look, that’s not how structural change works, and pretending it is sends people chasing strategies that only work if you’ve already cleared the hardest hurdles.

Let’s give the piece its due first. Its optimism is useful. It pushes back against the lazy doom script that “robots take your job, then you starve.” I agree with that push. Private-sector creativity and ownership can absolutely create outsized returns. Encouraging people to save, invest, and build things is better than telling them they’re doomed passengers on an AI runaway train.

But praising ownership without touching who actually gets to own things? That’s cheerleading dressed up as policy.

One of the column’s central moves is to elevate ownership—equity, startups, business creation—as the primary route to wealth. That’s seductive. Who doesn’t want a slice of something that grows faster than wages? Tech history is full of stories where early employees and founders walked away with life-changing stakes. Those stories are true.

Here’s what nobody tells you: those stories are also the exception, carefully curated and retold, while the quiet majority walks away with modest bonuses, underwater options, or nothing at all.

Ownership is gated. Access to capital, the right social circles, and the psychological safety to take risk are wildly uneven across race, region, and class. Saying “be an owner” without addressing those gates is like telling people in Cleveland to move to San Francisco to get a job in AI. Technically possible. Impractical for most. And when they do try, they run into housing costs, credential filters, and visa rules that the slogan never mentioned.

The column also glosses over how companies actually distribute ownership. Tech giants didn’t democratize equity so much as concentrate it at the very top and at a narrow slice of early hires. Employee stock plans exist, yes, but they come with vesting schedules, opaque valuation, and a level of volatility that means workers are often trading certain wages for a lottery ticket. For hourly workers or anyone living close to zero, deferred compensation is not a realistic substitute for cash that pays this month’s rent.

If you’ve ever watched a company “broadly” expand equity during a boom, then quietly claw back grants or reprice options in a downturn, you know the dynamic. The column gestures at ownership as empowerment; it needs to grapple with the gatekeepers—investors, boards, compensation committees—that keep meaningful ownership scarce.

Reskilling gets the same treatment: tidy, inspiring, and incomplete.

Another theme in the column is training—teach people new AI-adjacent skills and they’ll capture the upside. Training does help. I’ve run operations where reskilling frontline teams did move the productivity needle and gave people real promotions. But training is not the same as opportunity, and that gap is where these neat narratives fall apart.

First, not every displaced worker is one credential away from becoming a prompt engineer or an AI product manager. Cognitive profiles differ, background knowledge differs, and interest differs. Second, training requires time, stability, and usually unpaid learning; workers with caregiving duties or second jobs can’t just “carve out” ten hours a week to chase a new certificate. Third, employers don’t hire off course catalogs—they hire off trust networks. Who you know, where you went to school, and where you last worked still quietly dominate.

You can teach someone machine-learning basics. If hiring pipelines continue to favor elite pedigrees or alumni of dominant firms, that new skill becomes a résumé ornament, not a ticket into the AI economy.

From the policy angle, the column is light, almost by design. Op-eds are allowed to be idea gyms. But you can’t seriously tell workers to chase ownership and skills, then ignore the levers that make that chase even remotely plausible. Tax incentives for employee ownership. Actual access to small-business capital beyond pitch-deck theater. Portable benefits so leaving a traditional job for a startup or a contract role doesn’t mean gambling your healthcare and retirement.

That’s the boring plumbing that turns slogans into systems.

Here’s what nobody tells you about “market-led” paths: markets don’t fix unequal starting lines on their own. They amplify whatever baseline conditions already exist. Cities that already attract capital and talent—think the usual tech hubs—will keep compounding. Smaller regions will keep sending their most ambitious people away unless there is deliberate policy to decentralize opportunity. The column leans hard on markets; it barely touches the scaffolding those markets sit on.

From my own operations background in a large company, the gap between theory and execution is where this all breaks. I’ve helped roll out profit-sharing and equity programs to large workforces. On paper, everyone is “an owner.” In practice, if you don’t make equity understandable, liquid at reasonable intervals, and paired with fair base pay, people either ignore it or get burned by volatility. Inside the company, managers will hoard upside for top performers and leadership unless you deliberately design against that. None of this shows up in a clean op-ed narrative about turning workers into capitalists.

There’s also a historical pattern the column skips. When new technologies show up—railroads, electricity, early computing—the people who benefit first aren’t the ones told to “upskill”; they’re the ones sitting close to the capital stack and the rulebook. Workers can and do benefit, but only when institutions change with the tech. Think of how employee stock-ownership plans at some industrial firms actually built middle-class wealth, while similar-sounding programs elsewhere became glorified retention tools with little upside.

You could push back and say: “Fine—ownership is hard. But the column’s spirit matters; it points people toward agency instead of paralysis.” That’s fair. Agency matters. People should be nudged—sometimes hard—toward saving, investing, starting small experiments, and learning how AI tools work instead of being scared of them.

Here’s the pushback: agency without system change is a lottery ticket. Encouragement without capital access, guardrails, and actual institutional reform will lift a visible few and leave most people wondering why they “did everything right” and still feel stuck. If the directive is “embrace ownership and learn AI,” it should come with realistic scaffolding: public or quasi-public seed funds targeting founders far from the usual zip codes; mandatory, plain-language financial education tied to equity grants; and tax credits for companies that extend ownership beyond executives and early insiders.

Bottom line: the column is right that workers can build wealth in the AI era—but if AI actually delivers big gains, the fight won’t be over whether people “embraced ownership.” It’ll be over who redesigned the rules so ownership wasn’t reserved for the few already standing closest to the money.