Research questionHow can AI investment signals become executable, persistent net returns across changing markets?Predictive accuracy or strong historical performance can fail to produce investable returns when signals decay, trades incur costs, or market conditions change. The difficulty is tracing point-in-time information through positions and execution to persistent, risk-adjusted net returns. Latest papersRecent research connected to this question, newest first.Artificial Intelligence in Equity and Crypto Markets: Progress, Profitability Evidence, and the Limits of Automated InvestingThe reviewed public evidence covers machine learning, time-series foundation models, financial language models, reinforcement learning, and agents across the specified markets. It reports limited audited live-capital evidence and identifies temporal contamination, weak benchmarks, implementation costs, venue mechanics, capacity, and regime changes as barriers to establishing durable net alpha.research paper · Sep 4, 2026