AI Investment Frontier Investment AI Needs Versioned Skills, Not Open-Ended Self-Improvement A new SEC-filing QA workflow treats recurring agent errors as scoped, testable patches. That is a more investable operating model than letting an agent rewrite itself.
AI Investment Frontier Better AI Models Can Make Investment Research More Correlated A new financial-market simulation points to a neglected control: audit whether stronger AI agents are converging on the same errors.
AI Investment Frontier Agentic Factor Discovery Needs a Backtest of the Research Process AI agents can search for investment signals, but the process that discovers them needs its own out-of-sample test.
AI Investment Frontier Agentic Trading Needs a Paper-Trading Ledger Before It Needs Capital As AI agents move closer to market access, the investment workflow changes from writing a backtest to auditing a closed-loop decision process.
AI Investment Frontier The Analyst in the Prompt: Separate Evidence From Investor Preference A new audit of LLM financial analysis shows why the research workflow should split evidence scoring from personalized interpretation.
AI Investment Frontier AI Investment Agents Need a Risk-Control Layer Before They Touch Research AI agents can compress investment research, but the useful unit is a reviewable alert with provenance—not an autonomous conclusion.
AI Investment Frontier AI Can Turn Earnings Calls Into a Research Queue—If the Queue Is Auditable The practical AI upgrade in transcript research is not a prediction. It is a dated, reviewable queue of claims, questions, and evidence gaps.
AI Investment Frontier AI 可以先筛财报，但每个提醒都必须说清时间与理由 AI 正在把财报研究的第一步变成排序待核查事项；可靠的做法，是让每条提醒都带有可复核、带时间戳的证据记录。
AI Investment Frontier AI Can Triage a Filing—If Every Alert Has a Time-Stamped Reason AI is changing the first pass through filings from reading everything to ranking what deserves review. The safeguard is a reproducible, time-stamped alert ledger.
AI Investment Frontier Retrieval Helps Investment Research Only When the Question Needs It A new financial-reasoning benchmark points to a practical workflow: let retrieval rescue context-complete questions, but measure when it changes a correct answer.
AI Investment Frontier From Filing to Evidence Map: AI Makes Research Faster—and Verification Harder AI can turn a long filing into a research map, but investors still need point-in-time evidence, citations, and a human audit.
AI Investment Frontier AI Investment Frontier — Turnover Is the Missing Variable in Diversity-Weighted Portfolios A new equity-market model says turnover, not drift alone, stabilizes the capital distribution—and absorbs much of the gain from rebalancing.
AI Investment Frontier AI Investment Frontier — Credit Models Need an Explicit Fairness Frontier A new semi-structured credit model shows how investment AI can expose the trade-off between predictive lift, interpretability, and group fairness.
AI Investment Frontier AI Investment Frontier — Financial Advice Needs a Lifecycle Test A new study of AI financial advice shifts the investment-AI question from fluent answers to lifecycle outcomes, suitability, and governance.
