PodcastAnthony Pompliano ShowRyan Cohen

GameStop CEO: The Machines Are Already Smarter Than Us

The guest says AI is reducing the expertise needed for some coding tasks, while machines already outperform people at desk jobs; he estimates robots may be less than a few years from surpassing humans at physical work. He warns that displacement could weaken consumer demand if it leads to high unemployment. On hiring and investing, he emphasizes work trials and operational focus, questions hedge funds’ performance against the S&P 500, and argues that retail investors can benefit from opportunities institutions avoid.

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Key Takeaways

The guest says AI has lowered the specialization needed for some coding tasks, so he prioritizes motivated, responsive candidates over specialized credentials; GameStop’s four-week work trials let both sides assess productivity and cultural fit, including where AI could help candidates with written tests or projects.

The guest says machines are already far superior at desk and computer work and estimates robots may surpass humans at physical work in less than a few years. He worries that if these capabilities contribute to high unemployment, weaker consumer demand could trigger a damaging domino effect.

The guest challenges the idea that institutions are always the smart money, arguing that hedge funds underperform the S&P 500 while retail investors can pursue opportunities institutions will not. He also says extensive CEO and CFO time spent on investor relations does not improve business efficiency or maximize shareholder value, preferring operational work with engineers and suppliers.

TECHNOLOGY

AI Coding Access — The guest says AI has lowered the level of programming expertise needed for coding tasks. People with no coding skills can use AI to identify a root cause and code at the level of advanced programmers, he says.

“What's really interesting about the technology is if you would have said to me a few years ago, what are one of the most valuable skills to have?…”—

Shifting AI Lead — The guest says AI models are advancing quickly: whenever he thinks one company is leading, another releases a more advanced model.

“Yeah, we're using a lot of it across the entire org and it I'm super fascinated at how quickly the technology is developing…”—

Hiring Trials — The guest says GameStop has begun using four-week work trials so both sides can assess a candidate’s productivity and cultural fit. The interviewer raises the possibility that AI could help candidates with written tests or projects; the guest says trials are an approach the company has implemented.

“One of the things we've done is we've started to implement trials. Like you just come in, you start working with us for four weeks…”—

ECONOMY

AI Job Displacement — The guest worries that machines’ growing capabilities could leave people with little utility. If that leads to high unemployment, he says, consumer demand could suffer, triggering a damaging domino effect.

“The pace at which the technology is developing and how how much smarter the machines are than humans…”—

MARKETS

Hedge Fund Returns — The guest argues that hedge funds underperform the S&P 500 despite arguably having more data and greater access to management teams. He challenges the assumption that institutional investors are always the smart money.

“People look at basically retail as being dumb money…”—

Retail Investor Edge — The guest argues that retail investors can have an advantage because they can invest in opportunities institutions will not. That flexibility can itself create a competitive edge.

“So in a lot of ways retail investors have a lot of advantages that the institutions don't have because they can invest in a lot of stuff that the institutions…”—

FORECASTS

Robotics Forecast — The guest says machines are already far superior at desk jobs and computer work. He estimates robots may be less than a few years away from outperforming humans at physical work.

“Yeah, I mean anything right now that is a desk job, the machine is far superior. any computer work when it comes to the actual like robots physical labor…”—

Intro

The guest says GameStop uses AI across the organization and finds the pace of model development unsettling. He worries machines could reduce human usefulness, drive unemployment, and weaken consumer demand.

AI risks & how GameStop uses AI

The guest says he devotes most of his time to GameStop, keeps meetings limited, works directly with teams, and uses AI to improve productivity and visibility. He argues AI lets non-specialists perform coding tasks that once required deep expertise.

How Ryan spends his time

The guest says technical specialization is becoming less important in hiring, so he looks for motivated, responsive candidates who are eager to start and prove themselves.

Hiring in the age of AI

Cohen says he wants to learn Chinese because it is an important language spoken by more than a billion people, while declining to explain whether the goal connects to business plans.

Why Ryan wants to learn Chinese

The guest predicts machines already outperform people at desk work and may surpass humans at physical labor within a few years. He questions what humans will contribute and opposes universal basic income as harmful to motivation.

Robots, UBI & human utility

The host and guest discuss Neuralink and brain-computer interfaces, weighing the evidence a healthy person would need before adopting the technology and joking about the appeal of an off switch.

Neuralink & brain-computer interfaces

Cohen challenges the stereotype that retail investors are uninformed, noting hedge funds often underperform the S&P 500. He says GameStop shareholders backed the company early and can invest where institutions may not.

Retail investors vs Wall Street

Cohen declines to characterize his strengths and weaknesses, emphasizing that actions matter more than words. He says he is generally based in Florida and is hiring mobile engineers to work directly with him.

Greatest strengths & weaknesses

Cohen advises public-company leaders to focus on financial performance rather than storytelling or investor relations. He says time spent operating the business creates more value than managing public perception.

Shareholder communication & ignoring the noise

Cohen says he does not seek employees' approval and recalls his father's demanding, hands-on management style. He believes people ultimately judge a company by whether it performs well.

Biggest failure

Cohen calls investing in GameStop a mistake, but says that once he took responsibility, failure was not an option. He argues that survival mode and having no backup plan can produce exceptional effort and results.

Legacy & final thoughts

Cohen says legacy is overrated but identifies turning around GameStop as the legacy he would accept. He jokes that people can help by betting against the company, and the interview closes with thanks.

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Important Disclaimers

Not Investment Advice: For education only — not financial, tax or legal advice.

AI-Generated: Made by AI from source transcripts and may contain errors.

No Guarantees: Past performance does not predict future results; investing carries risk.

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