With a $30 million fund under management, the firm relies almost entirely on the decisions of three leading AI models—ChatGPT (OpenAI), Claude (Anthropic), and Gemini (Google)—to craft portfolios and make investment calls, even when their recommendations defy conventional wisdom.
The AI Triumvirate at WorkUnlike firms that use AI as a supportive tool for human analysts, Intelligent Alpha treats its AIs as full-fledged decision-makers. “We try to stay out of the way as much as possible,” says founder and CEO Doug Clinton. The firm feeds curated data—such as revenue trends, market cap statistics, and earnings projections—into the AI models, asking them to channel the philosophies of legendary investors like Warren Buffett, Stanley Druckenmiller, and Cathie Wood.
The process doesn’t end with portfolio generation. Clinton ensures each decision is scrutinized to eliminate potential AI pitfalls, such as recommending stocks of recently acquired companies or firms outside the target market cap. Beyond these checks, the firm avoids interfering with AI recommendations, even when human instincts might suggest otherwise.
Track Record: Outsmarting Human BiasThe results have been impressive. One standout example is the AIs’ decision to short Boeing earlier in 2023, anticipating quality issues with the 737 MAX before a major safety incident occurred. The models’ insights extend to macro predictions as well. During the initial testing phase, Intelligent Alpha’s AIs identified Nvidia as a prime investment opportunity, despite its seemingly overvalued status at the time. Since then, Nvidia’s stock has skyrocketed by over 400%.
Clinton notes that the AIs’ lack of emotional bias is a key advantage. “Humans see a chart and think, ‘It’s run too much, it can’t go higher,’” he explains. “The AI doesn’t care—it evaluates based on data and trends, not fear or greed.”
Innovation Meets ExperimentationWhile the firm has traditionally focused on equities, Intelligent Alpha is now exploring crypto markets. Clinton has tasked the AIs with analyzing Bitcoin (BTC) trends over the last five months, and early models have suggested bullish scenarios under specific regulatory conditions. For instance, one projection envisioned BTC reaching $140,000 if a pro-crypto political environment materialized. And guess what? That’s where we are today.
Source: Brave New Coin Bitcoin Liquid Index
However, Clinton acknowledges that crypto presents unique challenges, mainly due to the scarcity of structured historical data. Unlike equities, there’s no equivalent to decades of earnings reports or established investor philosophies. “Right now, we’re limited by what we can extract from social media posts or on-chain activity,” Clinton says, adding that models like Grok, trained on X (formerly Twitter) data, could eventually help bridge this gap.
Intelligent Livermore ETF: Bringing AI-Driven Strategies to MarketFor those eager to invest in AI-driven strategies, Intelligent Alpha launched the Intelligent Livermore ETF in September 2024. Every quarter, the AIs analyze global trends, identify sectoral opportunities, and construct portfolios inspired by iconic investors’ methodologies. The fund’s recent success included a timely pivot to Asian equities just before billionaire investor David Tepper publicly endorsed Chinese stocks, leading to significant gains.
The trio’s ability to weigh competing philosophies also ensures balanced portfolios. For example, when divergent investment styles arise, the AIs independently determine weighting based on confidence levels. Clinton highlights this as a natural form of hedging that creates robust, forward-looking portfolios.
What’s Next for AI in Investing?Despite its success, Intelligent Alpha’s approach isn’t without skepticism. Critics question whether AI, with its dependency on data, can truly foresee unprecedented events or manage complex human dynamics. Clinton, however, remains optimistic: “The AI has been great at macro-level predictions, and we’re constantly refining how it processes new information.”
Looking ahead, Clinton envisions leveraging AI to identify breakout crypto projects or novel asset classes. “The question is, what can we do with AI that’s truly unique and adds value in ways human analysts can’t?” he says.
For Intelligent Alpha, the future of investing is one where human intuition takes a backseat, letting machines chart the course with data-driven precision and a dash of contrarian insight. With a track record that’s already turning heads, the firm’s AI-first philosophy is proving to be more than just a bold experiment—it might be the blueprint for the next era of investment management.