Nearly Two-Thirds of Retail Investors Use AI to Inform Investment Decisions

Why It Matters

The rapid integration of AI into retail investing levels the analytical playing field, potentially narrowing the gap between individual and professional investors. However, mixed trust levels and concerns about misinformation highlight emerging risks that could shape market behavior and regulatory focus.

Key Takeaways

• 62% of U.S. retail investors now use AI for investing.
• 65% report AI improves their market performance.
• ChatGPT is most used AI tool, cited by 54% respondents.
• 54% trust AI analysis only somewhat, verify with other sources.
• Over half plan to increase AI usage significantly in future.

Pulse Analysis

The surge in AI adoption among retail investors reflects a broader democratization of sophisticated analytics that were once exclusive to hedge funds and banks. As AI chatbots and model‑based platforms become more affordable, everyday traders can instantly parse earnings reports, generate trade ideas, and back‑test strategies that previously required costly software. This shift not only accelerates research cycles but also reshapes the competitive landscape, forcing traditional brokerage firms to embed AI capabilities into their client offerings to stay relevant.

While the performance boost reported by 65% of AI users is encouraging, the data also reveal a cautious optimism. Over half of respondents only trust AI‑generated insights partially, preferring to corroborate findings with conventional sources. This hybrid approach mitigates the risk of algorithmic bias and erroneous recommendations, yet it underscores a lingering credibility gap. Moreover, concerns about market herding and over‑reliance on automated tools suggest that widespread AI usage could amplify volatility if large cohorts act on similar signals simultaneously.

Looking ahead, financial platforms are likely to double down on AI‑driven products, expanding suites like Investing.com’s WarrenAI and ProPicks AI to offer more granular, real‑time analysis. Regulators may respond with guidance on transparency and model validation to protect investors from systemic risks. For retail participants, the prudent path combines AI’s speed and analytical depth with disciplined risk management and independent verification, ensuring that technology enhances—not replaces—sound investment judgment.