Key Takeaways:
ChatGPT's simulated investment portfolio returned roughly 60% year to date through June 7, outperforming the S&P 500 by a wide margin and driving demand for AI-powered investment tools.
ChatGPT's simulated investment portfolio returned roughly 60% year to date through June 7, crushing the broader stock market and accelerating interest in AI-driven portfolio management.
"The performance demonstrates that large language models can identify patterns and allocate capital with a consistency that rivals human fund managers," said Alex Nguyen, enterprise AI analyst at Edgen. "But simulated returns don't account for slippage, liquidity constraints or execution costs."
The 60% gain compares with the S&P 500's roughly 18% advance over the same period, according to Finbold data. The portfolio, constructed by prompting ChatGPT with market data and investment criteria, has benefited from concentrated positions in technology and AI-related equities that have driven much of this year's rally.
The outperformance comes as OpenAI prepares a major ChatGPT overhaul that will transform the chatbot into a broader platform combining coding tools, AI agents and third-party applications, the Financial Times reported. The company, valued at roughly $850 billion in private markets, is betting that paid products such as AI agents capable of executing trades and managing portfolios will generate a larger share of revenue ahead of a planned initial public offering.
The results add to a growing body of evidence that generative AI can generate alpha in financial markets. A separate cohort of retail traders has begun using Anthropic's Claude model to build and deploy automated trading bots through a technique known as "vibe coding," where users describe a strategy in natural language and the AI generates the corresponding code.
OpenAI's Codex coding product, which can generate trading algorithms from plain-English instructions, has seen its weekly active user base increase sixfold to more than 5 million since the release of a desktop version in February, according to the FT. Most Codex users pay for the service, and roughly 2 million businesses currently use OpenAI products.
For OpenAI, the investment use case represents a potential revenue stream at a critical juncture. Business customers currently account for roughly 40 percent of company revenue, a figure OpenAI expects to increase to about 50 percent by year-end, the FT reported. AI agents that can manage portfolios, execute trades and rebalance allocations could command premium pricing versus standard chatbot subscriptions.
The company has reorganized several product groups under Thibault Sottiaux, who previously led Codex, with a long-term goal of building a personal AI assistant that helps users across both work and personal activities, including financial decision-making.
OpenAI's push into AI-powered investing tools puts it on a collision course with Anthropic, whose enterprise-focused approach has fueled rapid growth. Both companies are shifting from emphasizing long-term technological ambitions toward generating revenue as they prepare to attract public-market investors, according to Jenny Xiao, a partner at Leonis Capital and former OpenAI researcher.
Traditional asset managers are also taking notice. The prospect of AI-driven portfolios delivering consistent outperformance challenges the active management industry's fee structure, where the average equity mutual fund charges roughly 0.50 percent to 1.00 percent of assets annually.
The 60 percent simulated return does not guarantee future performance, and real-world execution would face hurdles including market impact, transaction costs and the risk of model drift as market regimes change. But the result signals that AI-powered investment tools are moving from novelty to a potentially disruptive force in asset management, with implications for traditional fund managers, fintech platforms and the broader wealth management industry.
This article is for informational purposes only and does not constitute investment advice.
