I was in a dorm common room when a 21-year-old scrolled past a news clip and said, “Why would I trust them?” I expected sarcasm; she was deadly serious. That single line kept replaying in my head as I read the new CNBC/Generation Lab poll.
I’m going to walk you through what that poll actually shows, what it feels like when you’re on the receiving end of this distrust, and why the numbers matter for careers, policy, and tech itself. You’ll see the names you already know — Sam Altman, Mark Zuckerberg, Jensen Huang — and you’ll see how young people are placing their bets.
A student at a campus meetup refused to recommend ChatGPT — what the distrust looks like
CNBC and the Generation Lab asked 18–34-year-olds whether they trust nine leaders in AI to act responsibly. In every case, more than half said no.
- Satya Nadella (Microsoft): ~65% distrusted
- Mark Zuckerberg (Meta): ~70% distrusted
- Jensen Huang (Nvidia): ~70% distrusted
- Elon Musk (SpaceX/Twitter owner): ~70% distrusted
- Sundar Pichai (Alphabet/Google): ~75% distrusted
- Dario Amodei (Anthropic): ~75% distrusted
- Sam Altman (OpenAI): ~75% distrusted
- Peter Thiel (Palantir): ~79% distrusted
- Alex Karp (Palantir): ~81% distrusted
That’s not mere skepticism. It’s a prevailing verdict from a generation that’s grown up with smartphones, targeted ads, and constant promises that tech will “fix” everything. Trust has become a cracked mirror.
Why don’t young people trust tech CEOs?
Short answer: behavior, incentives, and optics. You and I both know a CEO’s public statement is one channel; their company’s hiring, surveillance partnerships, ad models, content moderation, and layoffs are louder signals. Platforms such as OpenAI (ChatGPT), Google (Bard), Meta (Facebook/Instagram), and Nvidia’s GPUs are the tools young people interact with daily — and the perceived misuse or prioritization of profit over people fuels mistrust.
An intern at a hiring fair told me she expects AI to hurt her career — why that belief spreads
In the poll, 45% of respondents said AI will negatively affect their careers; only 10% expect a positive impact. That’s a stark expectation gap.
This is why: when companies announce automation initiatives, layoffs often follow, and when venture money chases growth over worker protections, attention shifts from long-term employment pathways to short-term gains. Names tied to these moves — OpenAI, Anthropic, Palantir, Microsoft, Meta — become shorthand for a system that feels engineered against you.
How does AI affect young people’s careers?
AI alters tasks, accelerates change, and changes bargaining power. If a developer sees their tools are built and owned by firms more focused on scaling than reskilling, they’ll anticipate risk. If you’re a recent grad comparing internship offers, company mission and governance matter as much as compensation.
A barista at a tech meetup whispered, “They don’t get us” — how brand actions eat trust
Young people aren’t just reacting to press releases; they’re tallying product decisions and public fights. Data privacy incidents, content moderation choices, opaque AI training practices, and high-profile boardroom moves stack up. Each one chips away.
Platforms and tools — ChatGPT, Bard, Claude, NVIDIA hardware — are judged by everyday effects: recommendations, content removals, recruiter behavior, and who benefits from algorithmic shifts. When companies prioritize monetization and geopolitical maneuvering, goodwill is drained.
The industry’s public relations machinery can’t fully recover from a string of perceived missteps; it behaves like a leaking dam.
Which tech CEOs are most distrusted by young people?
CNBC’s poll provides a clear leaderboard: Palantir’s Alex Karp and Peter Thiel sit at the top of distrust, with Altman, Amodei, and Pichai not far behind. For search intent: people ask “who” and “why” — and the answers point at company direction and perceived ethical decisions more than at personalities alone.
A recruiter in San Francisco complained that candidates are asking harder questions — what companies must face
Young talent now screens employers for governance, AI safety posture, and public accountability. They ask about data use, model auditability, hiring practices, and whether a company will protect careers as automation arrives. When answers are evasive, offers evaporate.
If you run recruitment or product, hear this: transparency and credible behavior matter. Platforms that wish to rebuild trust will need to show measurable safeguards, independent audits, and clearer paths for workers displaced by automation.
So where does that leave policy and product? Regulators, investors, and boards will watch these attitudes. When 46% of respondents express a favorable view of democratic socialism versus only 23% unfavorable, it signals a political appetite for stronger rules around tech power, corporate accountability, and worker protections.
Names matter. Tools matter. Choices matter. You can ignore a headline, but you can’t ignore a generation that’s decided the current answers aren’t sufficient — and they’ll vote, work, buy, and protest accordingly. Which side of that shift will you be on?