When we think of artificial intelligence destroying jobs, we usually imagine dramatic headlines and massive corporate layoffs. However, according to clinical professor and marketing expert Scott Galloway, the reality of AI-driven job loss is much quieter—and potentially more insidious.

In a recent discussion regarding the implications of “SuperIntelligence,” Galloway painted a stark picture of how AI is already restructuring the workforce and why trusting tech CEOs to manage this transition is a dangerous game.

The Jobs That Simply “Disappear”

Galloway illustrated the AI job threat with a practical example from his own investment fund. Originally, they planned to hire around five analysts for a new fund. However, a current employee, Molly, learned how to utilize two AI agents and two Mac Minis to handle the workload herself.

“We only need Molly now,” Galloway stated.

In this scenario, nobody gets fired. There is no dramatic layoff announcement that makes the news. Instead, four entry-level jobs that would have existed simply vanish from the hiring plan.

This phenomenon—reduced hiring rather than outright firing—is already showing up in data. Researchers at Stanford University found that employment among 22- to 25-year-olds in occupations highly exposed to AI is about 19% lower than it would have been if it kept pace with less-exposed peers.

The Missing Rung on the Corporate Ladder

This silent job loss creates a massive structural problem: the disappearance of the entry-level rung on the corporate ladder.

Traditionally, industries like law, finance, software, and media rely on junior employees taking on grunt work. They do the smaller tasks, make mistakes, receive feedback, and gradually earn the experience needed to take on major responsibilities. If AI agents automate the bottom of this ladder, a critical pipeline is severed.

If companies stop hiring and training entry-level workers today because AI can do the job cheaper, where will the experienced senior leaders come from ten years from now?

The Darth Vader Trajectory of Tech CEOs

Galloway is highly critical of the public’s tendency to idolize tech leaders, treating them like a “god-like figure” or expecting them to act as saviors. He uses OpenAI CEO Sam Altman as a prime example of a leader who initially championed regulation but quickly shifted focus to aggressive corporate expansion.

“They do not have our best interests at heart,” Galloway warned. “They play a key component in capitalism to do anything that is required to get the earnings up one cent per share every day.”

He argues that the intense competition and the unfathomable financial rewards for winning in the AI space push these leaders down a familiar “villain’s journey.” The incentives to become a multi-billionaire are so massive that executives will justify incremental decisions that harm society—whether that’s algorithmic radicalization, the worsening of teen mental health, or the erosion of the job market.

“Sam Altman isn’t going to be remembered for being a good or a bad guy,” Galloway pointed out. “He’s going to be remembered for the guy who either was the number one AI company or blew it.”

A Crisis of Inequality

Beneath the AI revolution lies a fundamental economic question: When a company uses AI to produce more with fewer people, who actually benefits from that extra productivity?

Currently, the benefits are aggressively skewing toward business owners and tech elites. Galloway argues that the bottom 99% of Western societies are being “optimized and monetized to make the life of the 1% just unbelievable.” While AI might increase total economic output, researchers at the IMF have warned that it could easily worsen wealth inequality by funneling returns directly to those who own the technology.

The Need for Independent Accountability

Galloway’s ultimate conclusion is that we shouldn’t have to ask whether we can “trust” a tech CEO.

“When you board a plane, you don’t need to know whether the airline CEO is a nice person,” it was noted during the discussion. “You expect independent inspections and rules that actually get enforced.”

The burden of protecting the public interest cannot fall on executives whose literal job description is to maximize shareholder value. Instead, Galloway urges a return to civic responsibility, calling for elected officials and regulators to implement guardrails. Society needs policies that protect workers during industry shifts, ensure ways for young people to enter professions, and subject massive AI systems to independent scrutiny.

The true danger of AI isn’t a sci-fi apocalypse; it is building an economy that confuses needing less work with needing fewer people.