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Welcome to <strong>prophet-of-ai.com</strong>, the free companion site to the book
<strong>Investing in the End of the World</strong> by <strong>Nir Strulovitz & ChatGPT 5.1 Pro</strong>.
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This project is not another black‑box “AI for investing” product.
It is a <strong>complete, transparent system</strong> that shows how any small investor – with a laptop and the LLMs they already use – can:
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* Read long‑term stock charts and focus only on the <strong>big moves</strong> that matter.
* Tie those moves to <strong>real‑world events</strong> like CEO trades, product launches, wars, regulations, interest rate shocks.
* Distill each stock or ETF into a <strong>small set of key parameters</strong>, instead of hundreds of mysterious factors.
* Separate the layers of reality: <strong>company vs sector vs market vs interest rates vs war/geopolitics</strong>.
* Use a <strong>“council” of AIs</strong> (ChatGPT, Claude, Gemini, etc.) to build <strong>3–6 month scenarios</strong> and decide what to buy, hold, or avoid.
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Everything here is <strong>100% free</strong> and will remain free:
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* The book itself
* Around <strong>30 deep research reports</strong> on AI‑related sectors (robotics, autonomous vehicles, edge computing, EVs vs oil, renewables, hydrogen, and more)
* Long video lectures where I walk through the ideas in detail
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You don’t need a hedge fund, special software, or a paid course.
You just need the tools you already use – plus a method to think with.
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We are heading toward <strong>2026</strong>, a period that may be extremely unstable: AI, wars, automation, and financial shocks are all accelerating. I don’t want to terrify anyone, but I also don’t believe in pretending “everything is fine, just hold for 40 years”. This system is designed for <strong>3–6 month investing in a world where the long term is uncertain</strong>.
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My goal with this site is simple:
to give the public a <strong>serious, realistic, free framework</strong> for using AI to invest – while there is still time.
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Below you’ll find the free book, and then the library of Deep Research reports you can plug into your favorite LLM as context.