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The Core Thesis

Three forces are converging into something the world has never seen: artificial intelligence that thinks, robotics that acts, and cryptocurrency that pays. Thomas Huhn argues they aren’t three separate trends — they’re one species emerging. Autonomous economic agents that will own assets, sign contracts, and start companies. Not in decades. In years.

The question the book poses isn’t if this happens. It’s whether you own the machine economy — or it owns you.

Press Release (short · 280 characters)

“You’ll own nothing and be happy.” Thomas Huhn calls this the biggest lie of our time. The AI Species reveals how AI, robotics, and crypto converge into autonomous machines — and delivers the investment playbook for the greatest wealth shift in history.

Press Release (medium · paragraph)

What happens when machines don’t just become intelligent, but manage their own money, sign their own contracts, and start their own companies? Thomas Huhn argues: they stop being tools and become a new economic species. In The AI Species, the entrepreneur and investor connects three of the most powerful technology trends — artificial intelligence, robotics, and cryptocurrency — into a single investable thesis. The book features concrete model portfolios with live tracking, a barbell strategy inspired by Nassim Taleb, and the candid analysis of a practitioner who puts his own money on the line. No investment advice, no hype — a framework for making sense of the next ten years.

Press Release (long · feature-length)

“You’ll own nothing and be happy.” Thomas Huhn opens his book with this World Economic Forum slogan — and calls it the biggest lie of our time.

The thesis is radically simple: when machines replace labor, most people lose their only path to wealth. The window to get on the right side of this shift is closing. Not in decades. In years.

The AI Species is not another AI book explaining transformer architectures. It’s an investment book. Huhn analyzes how artificial intelligence, robotics, and cryptocurrency are converging into an autonomous machine economy — machines that think, act, pay, and will soon start their own companies. He draws parallels to previous technology revolutions: those who invested in infrastructure rather than applications during the railroad boom, electrification, and the internet built generational wealth. The pattern is repeating — with NVIDIA, Ethereum, and the hidden champions of the machine economy.

The book covers vast ground: from the chip war between the US and China to AI’s energy appetite (why are Microsoft and Amazon buying nuclear power plants?) to the question of whether machines need rights. From stablecoins and dollar dominance to brain-computer interfaces to the personal stress test for investors in volatile markets. Part IV delivers the playbook: a barbell strategy following Nassim Taleb, a model portfolio with real positions and live tracking, and a 30-day action plan.

Huhn doesn’t write as an analyst. He writes as an invested entrepreneur. He builds AI products himself (accessibleAI), has been investing in stocks for over three decades and in crypto since 2017. “I don’t trust any investor who isn’t invested themselves,” he writes. The book was co-created with his AI assistant Jeannie — not as a gimmick, but as a demonstration of the human-AI collaboration the book describes. It closes with a personal epilogue — a dedication to his granddaughter Mila, for whom technology optimism isn’t an abstract attitude, but a necessity.

Provocative Theses (Story Angles for Journalists)

1. “Machines replace labor. No labor income. No capital to invest. No wealth. Game over.” — The book argues that the AI revolution is fundamentally different from every previous technology revolution because machines are replacing cognitive labor, not just physical. The middle class is being squeezed from both sides.

2. “This isn’t investing. This is self-defense.” — Huhn frames portfolio construction not as wealth-building but as economic survival. Those who don’t own the infrastructure of the machine economy will be owned by it.

3. “AI without crypto is an engine without fuel. Crypto without AI is fuel without an engine.” — The Convergence Thesis: AI needs autonomous payment rails that no government can freeze. Crypto needs AI to fulfill its promise of programmable money. Neither works alone.

4. “Digital Feudalism is the default outcome.” — Without deliberate action, the concentration of AI ownership will create a neo-feudal economy: a small class of asset owners and a vast “useless class” pacified by universal basic income paid in expiring digital currencies.

5. “Self-custody becomes a human right in a CBDC world.” — As central banks launch programmable currencies with expiration dates and spending restrictions, the ability to hold assets outside government control becomes an act of self-preservation, not ideology.

6. “The machines are coming. And they’re bringing their own money.” — Autonomous agents will need their own wallets, their own payment systems, their own economic identity. This is not speculation — it’s already happening with DePIN networks and machine-to-machine payments.

Quotes from the Book

“You don’t use a species. You coexist with it.”

“Machines replace labor. No labor income. No capital to invest. No wealth. Game over.”

“‘You’ll own nothing and be happy.’ I believe this is the biggest lie of our time.”

“This isn’t investing. This is self-defense.”

“AI without crypto is an engine without fuel. Crypto without AI is fuel without an engine.”

“The question isn’t whether the machine economy is coming. The question is whether you own it or it owns you.”

“The most valuable investment theses are those that almost nobody shares — but that turn out to be right.”

“The peasant in the 18th century couldn’t invest in factories. The knowledge worker in the 21st century has that option.”

Interview / Feature Topics

• The Convergence Thesis: Why AI, robotics, and crypto aren’t three trends but one emerging species
• Digital Feudalism: The default future nobody wants to talk about — and how to avoid it
• Why machines need their own money — and why crypto is the only answer
• The energy bottleneck: Why Microsoft and Amazon are buying nuclear power plants
• Model portfolios and the barbell strategy for individual investors in the age of AI
• Europe vs. US vs. China: Who wins the AI race? (And why Europe’s regulatory approach may backfire)
• Brain-computer interfaces and the next stage of human-machine convergence
• Longevity and AI: When immortality becomes an investment thesis
• The book co-written with an AI: What it means to practice what you preach

Cover Downloads

English Edition · Download PNG

German Edition · Download PNG

About the Author

Thomas Huhn is an entrepreneur, investor, and technologist. He founded the software company Rockstardevelopers and develops AI systems for regulatory compliance at accessibleAI. Huhn has been investing in stocks for over 30 years, in crypto since 2017, and builds the products he writes about. He co-created The AI Species with his AI assistant Jeannie — not as a gimmick, but as a demonstration of the human-AI collaboration the book describes. He lives at Lake Starnberg near Munich, Germany.

Press Contact

• Email: [email protected]
• X / Twitter: @thuhn
• LinkedIn: linkedin.com/in/thomashuhn
• Website: theaispecies.world