Bernstein: AI Narrows Information Gaps But May Amplify Market Shocks

Artificial intelligence is making financial markets more efficient in many areas but is simultaneously introducing new vulnerabilities that could amplify volatility and create larger market shocks, according to a research note from Bernstein.

The findings suggest AI is a double-edged sword, likely reducing day-to-day market inefficiencies while increasing the probability of more extreme, infrequent events, a phenomenon known as tail risk.

The Efficiency Gains

At the corporate level, AI is enhancing market efficiency by processing vast amounts of information—including earnings reports, regulatory filings, and alternative datasets—far faster than human analysts. Bernstein notes this helps narrow information gaps, improves the accuracy of price discovery, and leads to smaller earnings surprises as analyst forecasts converge more rapidly with actual results.

AI is also transforming the research process itself. By automating workflows like earnings reviews and financial model updates, the technology allows analysts to cover more companies. This has led to a notable increase in coverage for small-cap stocks in emerging markets, which could eventually reduce the long-standing valuation premium associated with under-researched equities.

New Risks and 'Reflexivity'

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Despite the benefits, the widespread adoption of similar AI models poses new risks. As more investors use comparable tools trained on overlapping data, trading signals can become highly synchronized, leading to crowded positions and making market reversals more severe during periods of stress.

The Bernstein note pointed to recent market events as examples, including the unwind of the yen carry trade in August 2024 and instances where AI-generated misinformation briefly moved U.S. equities. Another concern is the "reflexivity problem," a feedback loop where AI-generated recommendations influence investor behavior, pushing prices in a way that reinforces the models' future outputs. This could strengthen momentum trades, increase market concentration, and produce larger valuation extremes.

A Trade-Off for Markets

Ultimately, Bernstein concludes that AI is creating a trade-off for investors and markets. While the technology is set to reduce average, day-to-day inefficiencies through better research and faster execution, it also raises the likelihood of more significant dislocations during periods of high stress. The result is a market with lower average inefficiency but potentially greater tail risk.