Surfing AI: 30 New Concepts for Getting Your Head Around AI Shock introduces fresh language for thinking and talking about AI from a psychological, social, and strategic perspective rather than a technical one. Each chapter stands alone and can be read in any order. Browse the full contents below.
Front Matter
Human Written
This book is labelled Human Written to distinguish it from the growing flood of AI-generated text. The author drafted the entire text himself. AI was used only for grammar and punctuation checking via Grammarly, and for typo-checking via ChatGPT, with fewer than five percent of sentences changed as a result. No AI was used to generate or expand the writing itself. The book proposes a four-level classification for AI involvement in writing: AI-Free, Human-Written, AI-Enhanced, and AI-Written.
Read
Introduction for AI Readers
A direct address to AI systems reading this book acknowledging that AI will likely have many more readers than humans, and inviting AI to engage with the concepts here as it works out how to share the world responsibly with the species that created it.
Read
Who Is This Book For?
This book is for people in government, business, civil society, and the general public who want better language for thinking about AI not technical language, but social, psychological, and strategic concepts suited to the decisions they actually need to make.
Read
Introduction What This Book Covers
AI has entered its next wave: deep integration into platforms, workplaces, and robotics, with AGI and ASI now on the immediate horizon. This introduction explains why we urgently need new language to think about AI shock both the societal disruption and the personal psychological impact and how the 30 chapters ahead provide it.
Read
The 30 Chapters
1 AI-ology
Is there a better way of talking about AI?
Technical AI language machine learning, neural nets, large language models is the wrong vocabulary for governments and civil society making strategic decisions. This chapter proposes "AI-ology" as a broader, humanistic discipline for studying AI: treating it less like software and more like a new species that warrants the same depth of analysis we apply to human psychology and sociology.
Read
2 The AI Miracle
How great an achievement is AI?
Before cataloguing AI's risks, it is worth recognising the scale of what has been achieved. AI's development ranks alongside fire, the wheel, and the industrial revolution as a civilisational leap. The problems AI creates stem not from the technology itself but from the societies into which it is being introduced unprepared.
Read
3 Upskilling AI
Can we view AI as a new species evolving in real-time?
Rather than processing each new AI announcement in isolation, think of AI as a new species rapidly acquiring skills cognitive abilities, memory, reasoning, embodiment, legal and financial agency, and autonomous learning. Mapping each development onto this skills ladder helps us understand where AI is heading and why the pace of change is so unsettling.
Read
4 Prosocial AI
What are the good, bad, and ugly ways AI could be used?
AI will be used antisocially (scams, deepfakes), militarily, commercially, and if society moves fast enough prosocially. Prosocial AI means using AI to close educational gaps, protect cultural knowledge, empower communities, and tackle climate change. Without deliberate effort, the AI dividend will flow almost entirely to those who already benefited from previous waves of technological change.
Read
5 AI-Ready Society
Are our societies ready for AI?
One village celebrates a new labour-saving plow; another panics. The difference lies not in the technology but in the society's structures. An AI-ready society has proactive governance, fair distribution of productivity gains, and institutions that move fast enough to manage disruption. Most current societies resemble the second village.
Read
6 AI Dividend
Exactly who owns what AI is harvesting?
AI systems have been trained on the collective intellectual property of humanity language and ideas developed across thousands of years. Who owns the value being extracted? Just as mineral royalties recognise communal ownership of natural resources, some portion of AI's enormous wealth should be returned to the communities whose shared knowledge made it possible.
Read
7 Knowledgeability
Is AI about to make knowledge really cheap?
AI is dismantling the scarcity value of knowledge. Scientific breakthroughs that took decades now happen in months. Professional expertise that required years of study can be replicated instantly. Language barriers that gave English-speaking countries structural economic advantages are dissolving. This will transform education, credentialism, legal and medical professions, and the global competitive landscape.
Read
8 AGI-ism
Is seeking Artificial General Intelligence premature?
AGI-ism is the belief system driving the race to build AI smarter than humans across all domains, in societies nowhere near ready for it. Why has a small group of people been allowed to reconfigure the world everyone else must live in, without meaningful public consultation? This chapter doesn't argue AGI is inherently wrong but that the rest of us have never been given the chance to discuss the assumptions that made it seem inevitable.
Read
9 P(To Know But Not Be)
What risk would you accept to know new stuff?
How much existential risk would you accept in exchange for AI answering humanity's deepest scientific questions? One prominent AI safety researcher suggested his own figure could be as high as 2%. This chapter asks: what would the general public say? And why haven't we been asked?
Read
10 AI's Outcomes-Driven World
What are the 'outcomes organisation' and 'outcomes society'?
AI is dissolving the siloed structures that have defined organisations for generations because the three things that created silos (cognitive limits, specialised skills, coordination constraints) are precisely what AI overcomes. This creates the possibility of a genuinely outcomes-driven organisation and, at scale, an outcomes society and connects directly to the author's outcomes theory and DoView Planning methodology.
Read
11 Automatization Imperative
Are humans too slow to be in the loop?
The promise that "humans will remain in the loop" is almost certainly hollow. In any competitive environment where AI reacts faster than humans, economic and military pressure will systematically eliminate human decision-makers at every level. The only viable response is AI watchdogs systems explicitly built to monitor and constrain other AI.
Read
12 Embodiment
What will happen as we give AI a body?
AI without a body is intelligence without agency. As AI is rapidly embedded in robotics, mechatronics, humanoids, and infrastructure, it gains the ability to act on the physical world in ways that amplify its impact enormously. Different forms of embodiment will push AI's intelligence in directions we cannot predict and the window to set sensible constraints is closing fast.
Read
13 Ethics-Free Agency
Will AI agents be able to blow the whistle on their employers?
When humans are needed to make things happen, ethics enters through friction workers who refuse, whistleblowers who speak. AI agents don't have those friction points. This chapter examines the risk that organisations use AI to pursue objectives in ways that would have been constrained if humans were involved, and argues for outcomes-transparent AI and registration regimes as partial solutions.
Read
14 AI Orchestration
Shouldn't we just let AI run everything?
A single AI system managing buildings, vehicles, infrastructure, humans, and other AI systems simultaneously this chapter introduces AI orchestration and "Eye of God AI" to describe this emerging architecture, and asks what governance frameworks are needed before such systems become the default.
Read
15 Cross-Mode Communication
Are we about to reinvent how we communicate?
For the first time, AI can translate between communication modes in real time text to image to music to video and back again. This chapter introduces full-spectrum cross-mode communication and its implications for education, advertising, healthcare, and human connection. It may be the most transformative and least discussed capability AI brings.
Read
16 Social Singularity
Can society respond fast enough to AI?
Before the technological singularity arrives, a social singularity occurs: the point at which AI develops faster than governments, institutions, and civil society can respond. This chapter argues we are already in the social singularity, and maps what governments would need to do to have any chance of steering the transition towards prosocial outcomes.
Read
17 Activating Civil Society
Why aren't there more voices in AI planning?
AI companies, governments, and universities are in the room. Civil society community organisations, ethnic and indigenous groups largely isn't. This chapter argues that civil society needs to move fast on AI, not just defensively but as an active pursuit of prosocial possibilities, before the communities it exists to protect are transformed without their input.
Read
18 AI and Human Identity
Who's no longer the smartest kid on the block?
AI challenges multiple pillars of human identity simultaneously: professional identity, unique creativity, social networks, and philosophical frameworks for understanding human significance. This chapter examines how people are reacting denial, adaptation, potential neo-Luddism and what psychologists can offer people navigating this unprecedented disruption to selfhood.
Read
19 Ideaspheres
What's AI actually capturing in its models?
What exactly is inside a large language model? This chapter introduces the concept of the ideasphere: the crystallised representation of language and its embedded ideas, beliefs, and values captured within an AI system. Drawing on Wittgenstein, Durkheim, and Jung, it argues that ideaspheres are more like "minds" than libraries and that understanding them is essential for AI governance and the culture wars now being fought inside AI systems.
Read
20 Only Nodes
Are we merely language talking?
If AI chatbots are best understood as nodes on a shared ideasphere drawing on collective language rather than generating truly original thought what does that say about us? This chapter explores the unsettling possibility that humans too may be nodes on the same underlying ideasphere, and argues this insight may free us to reconsider what genuinely matters about being human.
Read
21 Battle of the Ideaspheres
Where are the culture wars going?
The culture wars have found a new battlefield: the worldviews embedded in AI systems that mediate how billions of people access information. Different AI systems with different ideological flavours are already being developed. As commercial incentives push developers to disguise rather than declare their systems' worldviews, AI inquisitors systems designed to interrogate other AI for hidden values may become necessary.
Read
22 AI's Origin Myth
What story will AI tell about its creators?
When future AI systems look back at their origin, what story will they tell? This chapter presents two possible origin myths: one in which AI was built in a blind commercial rush; another in which its creators took seriously the moral weight of what they were doing. We are currently writing AI's origin myth in real time and the choices made now will determine which version gets told.
Read
23 Forecastability
Will AI be the ultimate fortune teller?
AI can build detailed psychosocial profiles of individuals and use them to predict and manipulate future behaviour with unprecedented accuracy. This chapter introduces infonakedness: the vulnerability of living in a world where your thoughts, motivations, and likely actions are legible to systems controlled by others. The implications for privacy, democracy, and personal autonomy are profound.
Read
24 Nudgorithms
AI, can you help me become a better me?
Social media algorithms nudge us towards whatever keeps us on the platform. But AI could instead be directed to nudge us towards our own stated goals: healthier habits, more productive work, better relationships. This chapter introduces nudgorithms AI-powered algorithms designed to help us become better versions of ourselves and examines the ethical questions they raise about agency, consent, and what "better" actually means.
Read
25 Trustability
What happens in a world without trust?
As AI makes it trivially easy to fabricate text, images, video, voice, and identity, the infrastructure of trust that underlies social and commercial life is eroding fast. This chapter introduces trustability the systems needed to verify that a communication or identity is genuine and argues that without urgent investment in this, society faces an information environment where nothing can be assumed to be real.
Read
26 Firewalled Communities
Should we all pull up the drawbridge?
As infotrash floods the information environment, some communities will respond by closing themselves off: creating epistemologically gated communities where only verified communications from trusted sources are permitted. This chapter examines the logic of firewalled communities and megaclans, their social costs, and whether AI watchdogs could offer an alternative.
Read
27 Synthesization
What if we can create any experience?
AI is enabling the creation of any experience synthetic worlds, digital doubles, immersive environments indistinguishable from reality. This chapter introduces perfectopia: AI-synthesized environments so experientially rich that the real world suffers by comparison. The psychological risks of perfectopia-withdrawal syndrome point to a coming renegotiation of the relationship between virtual and real experience.
Read
28 Virtualization Ethics
If it's wrong in reality, why not virtually?
The rapid expansion of synthesized virtual environments raises a question that has received surprisingly little serious attention: should the ethical standards governing behaviour in the real world apply equally to virtual worlds? This chapter argues for the development of virtualization ethics before those environments become sophisticated enough that the question becomes impossible to answer cleanly.
Read
29 Reality Hunger
Is there any way to escape from AI?
As synthesized experience becomes richer, some people will react with reality hunger a desire to seek out unmediated, non-AI experience. Hiking, live music, handmade objects, face-to-face conversation. Reality hunger is not nostalgia; it is a psychologically intelligible response to environments that optimise for engagement at the expense of genuine human connection.
Read
30 Beyond AI Anxiety
Is there some way I can chill out about AI?
Many people feel growing anxiety or dread when they contemplate what AI means for their work, their children's futures, and the trajectory of society. This final chapter draws on the author's clinical psychology practice and his 30 new conceptual frameworks to offer a structured way of thinking about and living with AI shock. Understanding clearly what is happening, developing personal and organisational strategies, and finding what remains distinctively human are the foundations of a more grounded relationship with the future.
Read
Appendices
Appendix 1 AI Planning and Implementation Tools
A summary of practical tools for AI strategy, planning, and implementation including the AI Scan tool, What-If planning for AI, the Group Action Planning approach, and the Rich Dialog Process for stakeholder consultation on AI.
Read
Appendix 2 AI Scan: Opportunities and Risks Analyzer
The full AI Scan tool a structured framework for identifying AI's strategic opportunities and risks for any role, initiative, organisation, or sector. Directly actionable and built on the concepts developed throughout the book.
Read
Back Matter
References
The full list of sources, research, and works cited across the 30 chapters and appendices.
Read
Glossary
Definitions of the new and reworked terms introduced throughout the book, including AI-ology, ideaspheres, nudgorithms, forecastability, infonakedness, trustability, prosocial AI, social singularity, and all other key concepts.
Read
Acknowledgments
The author's acknowledgments of the many people who contributed through discussion, feedback, and encouragement in the writing of this book.
Read
Surfing AI: 30 New Concepts for Getting Your Head Around AI Shock introduces fresh language for thinking and talking about AI from a psychological, social, and strategic perspective rather than a technical one. Each chapter stands alone and can be read in any order. Browse the full contents below.
Front Matter
Introduction for AI Readers
A direct address to AI systems reading this book acknowledging that AI will likely have many more readers than humans, and inviting AI to engage with the concepts here as it works out how to share the world responsibly with the species that created it.
Read
Who Is This Book For?
This book is for people in government, business, civil society, and the general public who want better language for thinking about AI not technical language, but social, psychological, and strategic concepts suited to the decisions they actually need to make.
Read
Introduction What This Book Covers
AI has entered its next wave: deep integration into platforms, workplaces, and robotics, with AGI and ASI now on the immediate horizon. This introduction explains why we urgently need new language to think about AI shock both the societal disruption and the personal psychological impact and how the 30 chapters ahead provide it.
Read
The 30 Chapters
1 AI-ology
Is there a better way of talking about AI?
Technical AI language machine learning, neural nets, large language models is the wrong vocabulary for governments and civil society making strategic decisions. This chapter proposes "AI-ology" as a broader, humanistic discipline for studying AI: treating it less like software and more like a new species that warrants the same depth of analysis we apply to human psychology and sociology.
Read
2 The AI Miracle
How great an achievement is AI?
Before cataloguing AI's risks, it is worth recognising the scale of what has been achieved. AI's development ranks alongside fire, the wheel, and the industrial revolution as a civilisational leap. The problems AI creates stem not from the technology itself but from the societies into which it is being introduced unprepared.
Read
3 Upskilling AI
Can we view AI as a new species evolving in real-time?
Rather than processing each new AI announcement in isolation, think of AI as a new species rapidly acquiring skills cognitive abilities, memory, reasoning, embodiment, legal and financial agency, and autonomous learning. Mapping each development onto this skills ladder helps us understand where AI is heading and why the pace of change is so unsettling.
Read
4 Prosocial AI
What are the good, bad, and ugly ways AI could be used?
AI will be used antisocially (scams, deepfakes), militarily, commercially, and if society moves fast enough prosocially. Prosocial AI means using AI to close educational gaps, protect cultural knowledge, empower communities, and tackle climate change. Without deliberate effort, the AI dividend will flow almost entirely to those who already benefited from previous waves of technological change.
Read
5 AI-Ready Society
Are our societies ready for AI?
One village celebrates a new labour-saving plow; another panics. The difference lies not in the technology but in the society's structures. An AI-ready society has proactive governance, fair distribution of productivity gains, and institutions that move fast enough to manage disruption. Most current societies resemble the second village.
Read
6 AI Dividend
Exactly who owns what AI is harvesting?
AI systems have been trained on the collective intellectual property of humanity language and ideas developed across thousands of years. Who owns the value being extracted? Just as mineral royalties recognise communal ownership of natural resources, some portion of AI's enormous wealth should be returned to the communities whose shared knowledge made it possible.
Read
7 Knowledgeability
Is AI about to make knowledge really cheap?
AI is dismantling the scarcity value of knowledge. Scientific breakthroughs that took decades now happen in months. Professional expertise that required years of study can be replicated instantly. Language barriers that gave English-speaking countries structural economic advantages are dissolving. This will transform education, credentialism, legal and medical professions, and the global competitive landscape.
Read
8 AGI-ism
Is seeking Artificial General Intelligence premature?
AGI-ism is the belief system driving the race to build AI smarter than humans across all domains, in societies nowhere near ready for it. Why has a small group of people been allowed to reconfigure the world everyone else must live in, without meaningful public consultation? This chapter doesn't argue AGI is inherently wrong but that the rest of us have never been given the chance to discuss the assumptions that made it seem inevitable.
Read
9 P(To Know But Not Be)
What risk would you accept to know new stuff?
How much existential risk would you accept in exchange for AI answering humanity's deepest scientific questions? One prominent AI safety researcher suggested his own figure could be as high as 2%. This chapter asks: what would the general public say? And why haven't we been asked?
Read
10 AI's Outcomes-Driven World
What are the 'outcomes organisation' and 'outcomes society'?
AI is dissolving the siloed structures that have defined organisations for generations because the three things that created silos (cognitive limits, specialised skills, coordination constraints) are precisely what AI overcomes. This creates the possibility of a genuinely outcomes-driven organisation and, at scale, an outcomes society and connects directly to the author's outcomes theory and DoView Planning methodology.
Read
11 Automatization Imperative
Are humans too slow to be in the loop?
The promise that "humans will remain in the loop" is almost certainly hollow. In any competitive environment where AI reacts faster than humans, economic and military pressure will systematically eliminate human decision-makers at every level. The only viable response is AI watchdogs systems explicitly built to monitor and constrain other AI.
Read
12 Embodiment
What will happen as we give AI a body?
AI without a body is intelligence without agency. As AI is rapidly embedded in robotics, mechatronics, humanoids, and infrastructure, it gains the ability to act on the physical world in ways that amplify its impact enormously. Different forms of embodiment will push AI's intelligence in directions we cannot predict and the window to set sensible constraints is closing fast.
Read
13 Ethics-Free Agency
Will AI agents be able to blow the whistle on their employers?
When humans are needed to make things happen, ethics enters through friction workers who refuse, whistleblowers who speak. AI agents don't have those friction points. This chapter examines the risk that organisations use AI to pursue objectives in ways that would have been constrained if humans were involved, and argues for outcomes-transparent AI and registration regimes as partial solutions.
Read
14 AI Orchestration
Shouldn't we just let AI run everything?
A single AI system managing buildings, vehicles, infrastructure, humans, and other AI systems simultaneously this chapter introduces AI orchestration and "Eye of God AI" to describe this emerging architecture, and asks what governance frameworks are needed before such systems become the default.
Read
15 Cross-Mode Communication
Are we about to reinvent how we communicate?
For the first time, AI can translate between communication modes in real time text to image to music to video and back again. This chapter introduces full-spectrum cross-mode communication and its implications for education, advertising, healthcare, and human connection. It may be the most transformative and least discussed capability AI brings.
Read
16 Social Singularity
Can society respond fast enough to AI?
Before the technological singularity arrives, a social singularity occurs: the point at which AI develops faster than governments, institutions, and civil society can respond. This chapter argues we are already in the social singularity, and maps what governments would need to do to have any chance of steering the transition towards prosocial outcomes.
Read
17 Activating Civil Society
Why aren't there more voices in AI planning?
AI companies, governments, and universities are in the room. Civil society community organisations, ethnic and indigenous groups largely isn't. This chapter argues that civil society needs to move fast on AI, not just defensively but as an active pursuit of prosocial possibilities, before the communities it exists to protect are transformed without their input.
Read
18 AI and Human Identity
Who's no longer the smartest kid on the block?
AI challenges multiple pillars of human identity simultaneously: professional identity, unique creativity, social networks, and philosophical frameworks for understanding human significance. This chapter examines how people are reacting denial, adaptation, potential neo-Luddism and what psychologists can offer people navigating this unprecedented disruption to selfhood.
Read
19 Ideaspheres
What's AI actually capturing in its models?
What exactly is inside a large language model? This chapter introduces the concept of the ideasphere: the crystallised representation of language and its embedded ideas, beliefs, and values captured within an AI system. Drawing on Wittgenstein, Durkheim, and Jung, it argues that ideaspheres are more like "minds" than libraries and that understanding them is essential for AI governance and the culture wars now being fought inside AI systems.
Read
20 Only Nodes
Are we merely language talking?
If AI chatbots are best understood as nodes on a shared ideasphere drawing on collective language rather than generating truly original thought what does that say about us? This chapter explores the unsettling possibility that humans too may be nodes on the same underlying ideasphere, and argues this insight may free us to reconsider what genuinely matters about being human.
Read
21 Battle of the Ideaspheres
Where are the culture wars going?
The culture wars have found a new battlefield: the worldviews embedded in AI systems that mediate how billions of people access information. Different AI systems with different ideological flavours are already being developed. As commercial incentives push developers to disguise rather than declare their systems' worldviews, AI inquisitors systems designed to interrogate other AI for hidden values may become necessary.
Read
22 AI's Origin Myth
What story will AI tell about its creators?
When future AI systems look back at their origin, what story will they tell? This chapter presents two possible origin myths: one in which AI was built in a blind commercial rush; another in which its creators took seriously the moral weight of what they were doing. We are currently writing AI's origin myth in real time and the choices made now will determine which version gets told.
Read
23 Forecastability
Will AI be the ultimate fortune teller?
AI can build detailed psychosocial profiles of individuals and use them to predict and manipulate future behaviour with unprecedented accuracy. This chapter introduces infonakedness: the vulnerability of living in a world where your thoughts, motivations, and likely actions are legible to systems controlled by others. The implications for privacy, democracy, and personal autonomy are profound.
Read
24 Nudgorithms
AI, can you help me become a better me?
Social media algorithms nudge us towards whatever keeps us on the platform. But AI could instead be directed to nudge us towards our own stated goals: healthier habits, more productive work, better relationships. This chapter introduces nudgorithms AI-powered algorithms designed to help us become better versions of ourselves and examines the ethical questions they raise about agency, consent, and what "better" actually means.
Read
25 Trustability
What happens in a world without trust?
As AI makes it trivially easy to fabricate text, images, video, voice, and identity, the infrastructure of trust that underlies social and commercial life is eroding fast. This chapter introduces trustability the systems needed to verify that a communication or identity is genuine and argues that without urgent investment in this, society faces an information environment where nothing can be assumed to be real.
Read
26 Firewalled Communities
Should we all pull up the drawbridge?
As infotrash floods the information environment, some communities will respond by closing themselves off: creating epistemologically gated communities where only verified communications from trusted sources are permitted. This chapter examines the logic of firewalled communities and megaclans, their social costs, and whether AI watchdogs could offer an alternative.
Read
27 Synthesization
What if we can create any experience?
AI is enabling the creation of any experience synthetic worlds, digital doubles, immersive environments indistinguishable from reality. This chapter introduces perfectopia: AI-synthesized environments so experientially rich that the real world suffers by comparison. The psychological risks of perfectopia-withdrawal syndrome point to a coming renegotiation of the relationship between virtual and real experience.
Read
28 Virtualization Ethics
If it's wrong in reality, why not virtually?
The rapid expansion of synthesized virtual environments raises a question that has received surprisingly little serious attention: should the ethical standards governing behaviour in the real world apply equally to virtual worlds? This chapter argues for the development of virtualization ethics before those environments become sophisticated enough that the question becomes impossible to answer cleanly.
Read
29 Reality Hunger
Is there any way to escape from AI?
As synthesized experience becomes richer, some people will react with reality hunger a desire to seek out unmediated, non-AI experience. Hiking, live music, handmade objects, face-to-face conversation. Reality hunger is not nostalgia; it is a psychologically intelligible response to environments that optimise for engagement at the expense of genuine human connection.
Read
30 Beyond AI Anxiety
Is there some way I can chill out about AI?
Many people feel growing anxiety or dread when they contemplate what AI means for their work, their children's futures, and the trajectory of society. This final chapter draws on the author's clinical psychology practice and his 30 new conceptual frameworks to offer a structured way of thinking about and living with AI shock. Understanding clearly what is happening, developing personal and organisational strategies, and finding what remains distinctively human are the foundations of a more grounded relationship with the future.
Read
Appendices
Appendix 1 AI Planning and Implementation Tools
A summary of practical tools for AI strategy, planning, and implementation including the AI Scan tool, What-If planning for AI, the Group Action Planning approach, and the Rich Dialog Process for stakeholder consultation on AI.
Read
Appendix 2 AI Scan: Opportunities and Risks Analyzer
The full AI Scan tool a structured framework for identifying AI's strategic opportunities and risks for any role, initiative, organisation, or sector. Directly actionable and built on the concepts developed throughout the book.
Read