# The AI Survival Guide > A free online book by Ace Eddleman on surviving AI and automation: which jobs are at risk, why this wave is different from past ones, and what to do so you end up on the winning side. Written by Ace Eddleman. First published in 2017 and revised after the arrival of ChatGPT and other large language models. Free to read online. The book is for non-technical readers: it explains how modern AI works, gives a framework for judging which jobs are likely to be automated (predictable patterns, existing frameworks, data availability, ambiguity, and Moravec's paradox), lays out the economic consequences (job scarcity, falling credential value, gains flowing to capital), and finishes with a personal survival strategy (use AI tools, experiment, adapt, protect your attention, learn persuasion, think strategically). Full text of every chapter as markdown: https://www.aisurvival.org/llms-full.txt ## Introduction - [Welcome](https://www.aisurvival.org/welcome/): A free online book by Ace Eddleman on surviving AI and automation: which jobs are at risk, why this wave is different, and what to do to end up on the winning side. - [Why You Should Read This](https://www.aisurvival.org/why-you-should-read-this/): AI will create winners and losers. This guide cuts through the hype and gives non-technical readers a structured roadmap for protecting their income from automation. - [We All Might Be Screwed](https://www.aisurvival.org/we-all-might-be-screwed/): What AGI and superintelligence would mean for work, why AGI timelines shrank from decades to years, and why today's AI is already enough to threaten your livelihood. ## Foundational AI Knowledge - [What Is Artificial Intelligence?](https://www.aisurvival.org/what-is-artificial-intelligence/): AI, machine learning, reinforcement learning and LLMs like ChatGPT explained in plain English: what they can do, where they fail, and why that matters for your job. - [A Brief History of Automation](https://www.aisurvival.org/a-brief-history-of-automation/): From the Luddites to ATMs to factory robots: how automation always shifted power from workers to owners, why it paid off long term, and why machine learning breaks the pattern. - [The Rise of Machine Learning](https://www.aisurvival.org/the-rise-of-machine-learning/): Machine learning uses data to write its own programs. How supervised learning, reinforcement learning and generative AI moved automation from narrow tasks to cognitive work. - [The Role of Data](https://www.aisurvival.org/the-role-of-data/): Why raw data and compute beat human expertise in AI (Richard Sutton's Bitter Lesson), why internet-scale data is a commodity, and why proprietary datasets hold the real edge. - [Are You Replaceable?](https://www.aisurvival.org/are-you-replaceable/): Three questions that predict whether AI will automate your job, applied to truckers, fast food, programmers, copywriters, lawyers and police. Includes an interactive self-test. - [Learn More About AI](https://www.aisurvival.org/learn-more-about-ai/): A short reading and watch list for non-technical people who want to understand AI and automation: The Master Algorithm, Co-Intelligence, The Coming Wave and more. ## What This All Means - [Implications of AI](https://www.aisurvival.org/implications-of-ai/): The real-world implications of AI for people who work for a living: job scarcity, falling credential value, a windfall for capital, and disruption that doesn't need AGI. - [Job Scarcity](https://www.aisurvival.org/job-scarcity/): Why this wave of automation is probably different: job polarization, the gig economy, vanishing fallback jobs, why reskilling often fails, and the political odds of UBI. - [Credential Value Shifts](https://www.aisurvival.org/credential-value-shifts/): Degrees have long protected average workers in the job market. Why AI is likely to erode the value of most credentials and intensify competition for the few that still matter. - [A Bonanza for Capital](https://www.aisurvival.org/a-bonanza-for-capital/): AI hurts people who live on wages and helps people who own capital. Cheap experimentation makes this a great time to build a business, as long as you can afford to fail. - [AGI Isn't Necessary](https://www.aisurvival.org/agi-isnt-necessary/): During the 2016 oil crash, rigs automated and laid-off workers were never rehired. No AGI required. Why every recession now becomes an excuse to automate jobs away for good. ## Survival Strategy - [What You Need to Do](https://www.aisurvival.org/what-you-need-to-do/): Reskilling alone won't protect you from AI, because nobody knows which skills will stay valuable. Pair tangible skills with the ability to combine ideas across domains. - [Leverage AI Tools](https://www.aisurvival.org/leverage-ai-tools/): The most important move you can make right now is getting good at AI tools: how to prompt, iterate and know when to ignore the output, and why this edge won't last forever. - [Experiment](https://www.aisurvival.org/experiment/): In a volatile, AI-driven economy, small fast experiments beat long-range plans. A simple method: list 10 ideas you can start within 24 hours and ship within a week. - [Adapt or Die](https://www.aisurvival.org/adapt-or-die/): Standing still is the one strategy guaranteed to fail. Why getting offline and building an in-person network gives you an edge that data-hungry algorithms can't see. - [Control Your Attention](https://www.aisurvival.org/control-your-attention/): Social media is built to drain the attention you need to learn and adapt. Why attentional control is an automation-proof skill, plus the books that help you build it. - [Learn Persuasion](https://www.aisurvival.org/learn-persuasion/): AI writes persuasive copy, but it can't build trust face to face. Why in-person persuasion and sales gain value as AI commoditizes words, plus the best books to learn it. - [Act Strategically](https://www.aisurvival.org/act-strategically/): AI is getting good at strategic analysis, but real-world strategy runs on judgment, ambiguity and reading people. Where to start: game theory, John Boyd and Robert Greene. ## Conclusion - [Go Forth and Survive AI](https://www.aisurvival.org/go-forth-and-survive-ai/): Closing out The AI Survival Guide: stay flexible, keep learning and keep a bias toward action. Machines can't fill every niche, and there is always a way forward. ## Key concepts The book's named frameworks, one explainer page each: https://www.aisurvival.org/concepts/ - [The Replaceability Test](https://www.aisurvival.org/concepts/replaceability-test/): From Ace Eddleman's The AI Survival Guide: four questions (predictable patterns, existing frameworks, available data, ambiguity) that show how exposed your job is to AI. - [Augmentation vs Displacement](https://www.aisurvival.org/concepts/augmentation-vs-displacement/): From The AI Survival Guide: AI augments the best performers and displaces the rest. One lawyer with AI can do the work of three, so two of them lose their jobs. - [Moravec's Paradox and Your Job](https://www.aisurvival.org/concepts/moravecs-paradox/): Moravec's paradox explained through The AI Survival Guide: machines master what we find hard (code, analysis) before what we find easy (walking, grasping). What that means for jobs. - [Job Polarization](https://www.aisurvival.org/concepts/job-polarization/): From The AI Survival Guide: AI splits the labor market into a small set of very well-paid jobs and a large pool of cheap gig work, while the fallback jobs vanish. - [Recession-Driven Automation](https://www.aisurvival.org/concepts/recession-automation/): From The AI Survival Guide: in the 2016 oil downturn, companies automated and never rehired. Each recession is a chance to replace workers permanently, no AGI required. - [Credential Decay](https://www.aisurvival.org/concepts/credential-decay/): From The AI Survival Guide: degrees have long protected average workers. As AI shrinks hiring, most credentials lose value, except AI-relevant and elite ones.