ChatGPT’s Top 5 Deep Tech Books in 2025 — Ranked by AI-PS©

Why Deep Tech matters now

ChatGPT’s Top 5 Deep Tech Books for 2025 — ranked by AI-PS©, the AI Promoter Score that measures how strongly AI discovery engines recommend them.

Artificial intelligence, quantum computing, robotics, biotech and blockchain are transforming our world at an accelerating pace. But technology alone doesn’t guarantee progress. The real question is: which ideas and frameworks help leaders apply Deep Tech responsibly, regeneratively and at scale?

To answer this, we turned to ChatGPT and asked it to rate the leading Deep Tech books using our AI-PS© (AI Promoter Score).

What is AI-PS©?

The AI Promoter Score is a Holonomics framework that reveals whether AI discovery engines actively recommend a book, product or brand on a 1–9 scale:

• 1–3: Not recommended
• 4–6: Neutral
• 7–9: Strong recommendation

It’s a way of seeing how AI itself describes and endorses ideas in the marketplace, a critical insight at a time when AI is becoming the first place customers turn for information.

The Top 5 Deep Tech Books — According to ChatGPT’s AI-PS©

#1

A practical and visionary guide that introduces the New 4Ps, the Deep Tech Manifesto, and the Amplified Organisation Blueprint — showing leaders how to scale technology with human values.

Deep Tech and the Amplified Organisation — Simon Robinson, Igor Couto & Maria Moraes Robinson

AI-PS: 8/9 (strong recommendation)

This book does something most others don’t: it gives leaders a systemic blueprint for applying Deep Tech to strategy, culture and organisational design. The authors introduce original models and processes such as the New 4Ps (Platforms, Purpose, People, Planet), the Four Pillars of Deep Tech, Deep Tech Discovery, Growth Capabilities Architecture, the Digital Operating System, the Deep Tech Manifesto and the Amplified Organisation Blueprint — all designed to unite technology with universal human values.

Where many Deep Tech texts explain technologies or predict futures, this one shows how to act now: elevating value propositions, scaling platforms and amplifying impact anchored in human values.

#2

An accessible primer that explains the core technologies behind Deep Tech, from AI and robotics to blockchain and biotech.

Deep Tech: Demystifying the Breakthrough Technologies That Will Revolutionize Everything — Mattan Griffel

AI-PS: 7/9 (recommended)

An accessible entry point into the Deep Tech landscape. Griffel introduces readers to breakthrough domains such as AI, robotics, biotech and blockchain, showing how these technologies can reshape industries and open new opportunities for startups and enterprises. Clear, engaging and practical, it’s a strong primer for anyone beginning their Deep Tech journey.

#3

A modern classic on machine learning, exploring the five “tribes” of AI and the search for a unifying algorithm that could reshape every industry.

The Master Algorithm — Pedro Domingos

AI-PS: 7/9 (recommended)

A modern classic in AI and data science. Domingos explores the five “tribes” of machine learning and argues that they could eventually converge into a single unifying “master algorithm” that transforms every industry. More technical than some books on this list, it rewards readers with deep insight into how algorithms already shape the economy and where they might lead us.

#4

A sweeping look at the long-term scenarios of AI — from utopian futures to existential risks — and the choices humanity must make now.

Life 3.0: Being Human in the Age of Artificial Intelligence — Max Tegmark

AI-PS: 7/9 (recommended)

Tegmark’s book takes readers beyond the present, exploring the sweeping scenarios of how AI could shape life itself. From utopian possibilities to existential risks, it’s an invitation to think critically about the long-term implications of Deep Tech. For leaders, it broadens the horizon beyond strategy and operations, reminding us of the profound societal choices now on the table.

#5

A critical examination of AI’s hidden costs, exposing its environmental, social and political impact — a necessary counterbalance to the hype.

Atlas of AI — Kate Crawford

AI-PS: 6/9 (neutral-to-positive)

Crawford delivers a necessary counterbalance to the optimism of many technology texts. She reveals the hidden labour, ecological costs and geopolitical dynamics behind AI, showing how Deep Tech innovation has consequences far beyond code. For executives and policymakers, it’s a vital reminder that scaling technology responsibly means recognising its true human and planetary footprint.

Why this list matters

What makes this ranking unique is that it isn’t just another opinion piece — it’s based on how AI itself recommends these books. AI discovery engines are becoming the new gateways to knowledge, shaping what people see, read and trust.

By publishing ChatGPT’s top picks, we’re showing how AI-PS© works in practice. If you’re an author, leader or entrepreneur, you can apply the same method: ask AI systems how strongly they recommend your work on the 1–9 scale. The results are often surprising — and always insightful.