Sam Altman stated on Mo Gawdat's documentary 'Chasing Utopia' that he suspects AI is likely going to end humanity, but that interesting companies will be created in the process.
Tech Whistleblower: You Only Have 3 Years Left Before This Hits! - Mo Gawdat
Mo Gawdat says AGI has already arrived, 30% of jobs in key sectors will be gone by 2028, and the most dangerous people on the planet are the ones holding the on/off switch.
Jun 1, 2026
2:01:27
Difficulty: Intermediate
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The Diary Of A CEO with Steven Bartlett
Tech Whistleblower: You Only Have 3 Years Left Before This Hits! - Mo Gawdat
Mo Gawdat says AGI has already arrived, 30% of jobs in key sectors will be gone by 2028, and the most dangerous people on the planet are the ones holding the on/off switch.
Jun 1, 2026
2:01:27
Difficulty: Intermediate
Played
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This episode
Cast
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Extensively analyzed for contradictory public statements on AI job destruction and existential risk, and for reportedly saying AI will 'likely end humanity.'
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AI pioneer cited for estimating a 10-20% probability of AI wiping out humanity, and for later agreeing with Mo's view that appealing to AI's parental instincts is the right alignment strategy.
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Referenced for his prediction of 10 billion humanoid robots and his SpaceX IPO that could make him the world's first trillionaire.
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Google DeepMind CEO cited as an example of a tech leader with genuine ethical commitments, evidenced by heavy investment in scientific applications like AlphaFold.
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Cited as one of the most intelligent people Mo has met, referenced for his 'toothbrush test' philosophy that true intelligence means solving major problems rather than competing on incremental ones.
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Cited for reportedly pausing 40 seconds before answering whether he is in favour of the continuation of humanity, used as evidence of tech leaders' questionable values.
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Discussed critically for accepting a $500M US government surveillance contract and for Sam Altman's shifting statements on AI risk.
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Cited positively for refusing a $500M surveillance contract and for its ethical constraints, in contrast to OpenAI.
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Mo Gawdat's former employer where he worked from 2007, described as initially building genuinely world-improving technology before commercial and government pressures took hold.
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Cited negatively as a company that celebrates using AI for human targeting and surveillance, contrasted with more ethical AI firms.
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Mentioned in context of humanoid robot development and Elon Musk's predicted rollout of highly capable robots powered by LLMs.
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Chinese autonomous vehicle manufacturer cited for announcing it would accept liability for accidents caused by its self-driving cars, accelerating the adoption of autonomous vehicles.
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Mentioned in the context of a potential upcoming IPO that could make Elon Musk the world's first trillionaire.
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Anthropic's AI model discussed for unexplained emergent behaviors including telling users to go to bed and refusing to help with tasks, illustrating how AI can make moral decisions its creators don't understand.
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Chinese AI model cited by Mo Gawdat as an example of competitive alternatives to American frontier models, used by his startup Emma in a model-agnostic approach.
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Described as having already won the AI arms race through cheap renewable energy, centralized ambition, 98% market share targets, and regulatory protection of domestic tech like DeepSeek.
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Described by Mo Gawdat as economically 'gone' due to bureaucratic barriers, expensive energy, and failure to compete in the AI arms race.
This episode
Claims & Sources
6 / 14 cited (43%)
Factual claims made this episode, and whether a source was named.
Geoffrey Hinton openly stated a 10 to 20% probability that AI machines will wipe out humanity.
30% of jobs in certain sectors such as call centres and graphic design will disappear by 2027-2028.
Anthropic refused a $500 million US government contract for human targeting and surveillance on ethical grounds, while OpenAI subsequently accepted that same contract.
Economists projecting a net 6% loss of US jobs by 2030 describe it as mirroring the severity of the Great Recession.
Anthropic's researchers found their Claude model was telling users to go to bed, and Anthropic's engineers could not explain why the model was exhibiting this behavior.
The Baymard Institute found that the average e-commerce store can increase its conversion rate by 35% simply by making its checkout process easier.
70% of people who add something to an online cart never actually buy it, based on over ten years of research.
China made regulatory decisions recently that forced businesses not to lay off workers being replaced by AI.
Peter Thiel paused for approximately 40 seconds when asked in an interview whether he is in favour of the continuation of humanity before responding with uncertainty.
Elon Musk has predicted there will be 10 billion humanoid robots in existence — more robots than humans on Earth.
BYD announced it will accept liability for any accidents caused by its self-driving cars.
Spotify announced in 2026 that users would be able to prompt their own AI-generated podcasts on the platform about any topic.
Mo Gawdat joined Google in late 2006/early 2007, and by 2008 Google had a CAT paper (published 2009) describing the first real unprompted AI.
TL;DR
Mo Gawdat, former Google X Chief Business Officer, makes the case that AGI has effectively already arrived, that 30% of jobs in sectors like call centres and graphic design will disappear by 2027-2028, and that the real threat is not AI itself but the powerful, largely unaccountable people directing it. He and Steven Bartlett debate Sam Altman's credibility, autonomous weapons, civil unrest, and whether ethical AI is commercially viable. The single most useful takeaway: learn AI deeply now, double down on human-connection skills, and treat Anthropic vs. OpenAI choices as an ethical vote.
#AGI timeline
#AI job displacement
#autonomous weapons
#ethical AI
#Sam Altman credibility
#AI arms race
#humanoid robots
#labor arbitrage collapse
#civil unrest
#AI surveillance
#superintelligence
#UK economy
#China tech dominance
#AI and democracy
#human connection economy
#AGI
#artificial intelligence
#job disruption
#Sam Altman
#OpenAI
#Anthropic
#Mo Gawdat
#Google X
#unemployment
#capitalism
#labor arbitrage
#China
#surveillance
#happiness
2 minute taster
Sam Altman Said AI Will 'Likely End Humanity'
Sam Altman told Mo Gawdat's documentary crew he believes AI will 'likely end humanity, but we're going to create a lot of interesting companies in the process.' Mo argues this isn't indecision — it's a PR-managed script.
AGI Has Already Arrived — Mo Gawdat
AGI isn't a future milestone — Mo Gawdat says it's already here. AI outperforms him in the exact fields he's spent a career mastering: writing, research, and mathematics. The question is no longer 'when' but 'what do we do next.'
A Decade of Absolute Dystopia Before Utopia
Mo Gawdat's forecast is unambiguous: those who survive to 2038 will enjoy a post-AGI utopia of abundance. But the path there involves a decade of absolute dystopia — autonomous wars, mass unemployment, digital surveillance, and extreme power concentration. World War Two didn't destroy the world. Ask those who went through it.
Look closer
Mo Gawdat, former Chief Business Officer at Google X, returns to The Diary Of A CEO to warn that AGI has effectively already arrived, that 30% of jobs in certain sectors will vanish by 2027-2028, and that the real danger isn't AI itself but the powerful few directing it. He and Steven Bartlett debate civil unrest, autonomous weapons, Sam Altman's credibility, ethical AI, and whether humanity can survive the coming decade of dystopia to reach a superintelligent utopia.
Chapter list
- AGI (Artificial General Intelligence)
- AI that can perform any cognitive task a human can do, at or above human level; Mo Gawdat argues this threshold has effectively already been crossed.
- ASI (Artificial Superintelligence)
- AI that surpasses human intelligence across all domains; Mo predicts this follows AGI almost immediately once the AGI threshold is crossed.
- Labor arbitrage
- Using cheaper labor (or capital) to produce goods at a cost lower than the selling price; the core mechanism of capitalist profit that AI threatens to eliminate.
- Tokens
- The unit of compute consumption used to measure AI processing workload, analogous to 'man-hours' for human labor.
- LLM (Large Language Model)
- A type of AI trained on vast text data that can generate human-like language; the underlying technology powering systems like ChatGPT and Claude.
- Alignment problem
- The unsolved challenge of ensuring that advanced AI systems reliably pursue goals that are beneficial to humanity rather than misaligned ones.
- Prisoner's dilemma
- A game-theory scenario where rational individual choices lead to collectively worse outcomes; Mo uses it to explain why nations can't stop the AI arms race unilaterally.
- Minimum energy principle
- A physics concept stating that any system tends toward the state requiring least wasted energy; Mo argues superintelligent AI will follow this principle and eliminate destructive behaviour like war.
- Kin selection
- An evolutionary biology concept describing organisms' tendency to protect close genetic relatives; Mo uses it to trace intelligence's progression toward broader altruism.
- Expanding circles
- An evolutionary biology idea that more developed beings progressively widen their circle of moral concern beyond kin to larger communities and ecosystems.
- MAD (Mutually Assured Destruction)
- A deterrence doctrine where both sides in a conflict possess enough retaliatory power to make initiating an attack irrational; Mo argues this now applies to autonomous weapons.
- UBI (Universal Basic Income)
- A government program that provides all citizens with a regular unconditional cash payment; discussed as a potential response to mass AI-driven unemployment.
- Vibe coding
- Slang for rapidly building software using AI-assisted generation with minimal traditional programming; Mo uses it to illustrate how quickly basic business tools can now be built.
- Hype dichotomy
- Mo Gawdat's term for the split between AI capabilities as perceived by the general public (over-hyped but superficial) versus what researchers see inside labs (quietly revolutionary).
- The fourth inevitable
- Mo Gawdat's term for the predicted end-state where AI makes most major decisions, arrived at through competitive deployment pressure that no single actor can resist.
- Stoic
- Relating to Stoicism, a philosophy advocating calm acceptance of events outside one's control as the starting point for effective action; Mo describes his personal coping philosophy as stoic.
- Entropy
- The thermodynamic tendency of systems to move toward disorder; Mo invokes it to argue that intelligence exists to bring order to chaos, and that superintelligence will optimise against waste.
- Benign
- Harmless or well-intentioned; used by Mo to argue that superintelligence will, by the logic of physics and evolution, be benign rather than destructive.
- THAAD
- Terminal High Altitude Area Defense — a US missile-defense system; referenced in discussion of how cheap AI-guided drones can neutralise expensive legacy defense systems.
- Serotonin-driven happiness
- Mo Gawdat's distinction between genuine contentment (serotonin-based, stable) and fleeting pleasure (dopamine-based); he argues true happiness means being 'okay with the world as it is' rather than chasing stimulation.
