How One AI Investor Turned $100K Into $1 Billion (And How We Could Replicate It)

There are three ways to be a successful investor:

  1. Be best
  2. Be lucky
  3. Be first

The best investors are JPMorgan, Morgan Stanley, and Goldman Sachs-you know, the cheaters. The insider traders, scheming-with-regulators, Nancy Pelosi-type characters. We won't beat them at a game they've rigged.

The luckiest investors can get rich too, but they're more likely to go broke trying-and personally, I'm not a gambling man.

The first investor, however, has a model we can replicate.

Consider OpenAI as an example. After this artificial intelligence (AI) company launched in 2015, one investor gave the founders $120K for what we can assume was a small chunk of equity-let's say 1%.

Today, OpenAI is a $30 billion company. Being an early investor is how one person turned $120,000 into $300 million...and that's if they bought only 1%. This person is more likely a billionaire (or multibillionaire) today, depending on how much they own.  

Their success came from OpenAI debuting the first major AI large language models (LLM) with ChatGPT, which can generate human-like text to participate in the conversation, translate languages, summarize text, answer questions, think creatively, and more. This first-mover advantage earned OpenAI a $10 billion investment from Microsoft and made early investors rich for life.  

However, though OpenAI was a first-mover in AI, specifically LLMs, it still hasn't produced true artificial general intelligence (AGI).

Consider Apple's robot assistant Siri, another example of narrow AI. Siri can set reminders, send messages, play music, provide weather updates, and even tell jokes. ChatGPT is like a more advanced Siri-it can answer questions, write essays, generate creative ideas, translate languages, and more-but it's still confined to its programming.

This is the key difference between "narrow" AI like ChatGPT, and the AGI that companies like OpenAI, Google, Microsoft, and co. are racing to develop as I write this.

Unlike narrow AI, AGI would be capable of any intellectual task that a human can perform including the ability to learn, think, decide, and infer. You know-the robots the movies warned us about, but in real life.

And while it's true that these robots will eventually take most of our jobs, we still have the chance to make enough money to retire before then, anyway.

Because like I said before, AGI doesn't exist yet, and I'm going to invest in the company that I think will get there first.

Hint: it's not OpenAI.

I gave you a sneak peek of the company that I think could be the first to achieve AGI during this morning's episode of American Institute for Crypto Investors LIVE.

We discussed the key differences between AI and AGI, potential returns for early AGI investors, and our regular rundown of the digital asset markets, including which coins I'm buying today.

Press play below to learn more.

Skip to 26:15 or use the "Jump to" icon in the bottom right corner of the video player to hear about the company that I think could be the first to achieve AGI.

I'm going to dive deeper into this company over the coming weeks during Digital Heavyweights LIVE, which is my private livestream for members of my inner circle. Learn how to join (and unlock four new AI picks) here.

Stay liquid,

Chief Crypto Strategist, American Institute for Crypto Investors

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