The Big Picture
In my 20 years advising clients, I've never seen a technological shift this misunderstood. The AI boom isn't a bubble — it's a multi-decade supercycle that will reshape every industry. Yet most investors, including some legendary ones like Michael Burry, are treating it like a repeat of the 2008 mortgage crisis. They're wrong. The data consistently shows that when the Fear & Greed Index hits "extreme fear" during an all-time-high market — as it did recently — the risk-reward for staying invested is asymmetric. Missing the upside of the biggest innovation wave in history is far more dangerous than catching a temporary dip.
Chris Camillo, who predicted the S&P 500's 35% run, Robinhood's 200% surge, and the energy stock rally, explains why this moment is different. He argues that the current panic around AI infrastructure overbuilding is a distraction. Even if Michael Burry is right that chips will depreciate faster than expected, that's just a "mini cycle" in a 20- to 40-year story. The real question: Do you believe we are inventing intelligence that will make all industry more productive? If yes, you must be invested in productive assets — period.
Breaking It Down
Let's start with the math. The DeepSeek incident earlier this year wiped out roughly $1 trillion in market value because investors misunderstood a reasoning model. Reasoning models require 100x to 1,000x more inference compute than traditional models. So even if the model itself is cheaper to build, the usage cost skyrockets. The market panicked over a misunderstanding. That's the pattern: every few months, a new fear emerges — AGI taking too long, chip depreciation, tariff scares — and the market overreacts.
Camillo's approach is simple: ignore the noise and focus on the signal. When you hold an iPhone in your hand for the first time, you don't worry about AT&T's deal terms or Apple's supply chain. You recognize it's the most transformative device of your lifetime. Same with AI. The signal is that we are creating intelligence that will automate cognitive work, boost productivity, and unlock abundance. The noise is whether Nvidia's H100 chips will last 3 years or 6 years.
Here's how this works in practice. Camillo recently bought $1 million of Bloom Energy stock on margin during a market dip. He also bought call options (short-term bets) on AI stocks. Why? Because he sees these dips as asymmetric opportunities. The downside is maybe 20-30% if the panic continues. The upside is 200-500% as the supercycle reasserts itself. He's not gambling — he's exploiting the market's short-sightedness. The key is that he has conviction from deep research, not from headlines.
How Creators Can Apply This
YouTube creators, freelancers, and digital entrepreneurs have a unique advantage: flexible income and the ability to invest during market fear. Most people get scared when their portfolio drops 10%. Creators who understand the AI supercycle can use those moments to buy. Here's a concrete plan:
First, build a cash reserve of 3-6 months of expenses. Second, allocate any excess cash to productive assets: S&P 500 index funds (low cost, diversified) and a select basket of AI-related stocks (e.g., Nvidia, Microsoft, Alphabet, or a thematic ETF like BOTZ). Third, during market dips (like the recent tariff scare), increase contributions. If you can save $500/month, double it during a downturn. Over 10 years, that dollar-cost averaging will compound significantly.
For tax implications: In the U.S., long-term capital gains (hold >1 year) are taxed at 0-20% depending on income. Short-term gains are taxed as ordinary income (up to 37%). So if you buy during a dip and sell within a year, you'll owe more tax. Better to hold for at least 12 months. Also, consider using a Roth IRA if you're eligible — tax-free growth on contributions.
Risk Factors & What to Watch For
This strategy isn't without risks. The biggest is that the AI supercycle might take longer than expected. If the market experiences a prolonged recession or a true bubble burst (like the dot-com crash), even strong convictions will be tested. Camillo acknowledges that his options trades don't always work. He lost a few million dollars on a recent down day. The key is that he has the capital and risk tolerance to weather those losses.
Another risk: overconcentration. If you put all your money into AI stocks, you're betting on one sector. Even if AI is transformative, individual companies can fail. Nvidia could face competition, or Microsoft could mismanage its AI integration. Diversification across sectors and asset classes (bonds, real estate, international stocks) reduces risk. A common mistake is to chase the hot stock (like buying Tesla at the peak) without understanding the underlying fundamentals.
Also, margin trading is dangerous. Camillo used margin to buy Bloom Energy, but he's a professional with deep pockets. For most creators, using leverage amplifies losses. If the market drops 20%, your margin call could force you to sell at the worst time. Avoid margin unless you have a high risk tolerance and a long time horizon.
Expert Take
Here's my professional opinion: Camillo is right about the AI supercycle, but his approach is not for everyone. For most creators, I recommend a simpler strategy: dollar-cost average into a low-cost S&P 500 index fund (like VOO or SPY) every month, regardless of market conditions. Add a small allocation (10-15%) to a technology-focused ETF like QQQ or a robotics/AI ETF. This gives you exposure to the supercycle without the stress of stock-picking or options trading.
For those ready to level up, I'd suggest allocating 5-10% of your portfolio to individual AI stocks during extreme fear periods. Use the Fear & Greed Index as a signal: when it hits "extreme fear" (below 20), buy. When it hits "extreme greed" (above 80), trim positions. This contrarian approach has historically outperformed. But you must have the discipline to hold during drawdowns. If you can't stomach a 30% drop, stick with index funds.
One advanced strategy: use cash-secured puts on high-quality AI stocks. Instead of buying the stock outright, sell a put option at a price you'd be happy to buy. You collect premium upfront, and if the stock drops to that price, you buy it at a discount. This generates income while waiting for a better entry. But options are complex — only do this after thorough research.
Action Plan
Here are five steps you can take today:
1. **Assess your risk tolerance.** If a 20% market drop would cause you to sell in panic, stick with index funds. If you can hold through a 50% drop, consider individual AI stocks.
2. **Set up automatic investments.** Choose a fixed amount (e.g., $500/month) and invest in VOO or QQQ every month. This removes emotion from the equation.
3. **Monitor the Fear & Greed Index.** When it hits extreme fear, increase your contributions by 50-100%. When it hits extreme greed, hold steady or take profits.
4. **Build a cash reserve.** Keep 6 months of living expenses in a high-yield savings account. This ensures you won't need to sell investments during a downturn.
5. **Educate yourself on AI fundamentals.** Read about the technology, not just the stock prices. Understand why reasoning models need more compute. The more conviction you have, the less likely you are to panic sell.
Remember: The biggest risk is not being invested at all. The AI supercycle will create enormous wealth over the next 20 years. Don't let short-term fear rob you of long-term gains.
