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.
AI Investment Frontier AI Investment Frontier — Investment AI Needs a Decision Trace A new benchmark argues that investment agents should be judged by point-in-time evidence, investor profile, reasoning, decisions, and delayed outcomes—not returns alone.
AI Investment Frontier AI 投资前沿：风险偏好也应成为组合模型的输入 一篇新论文把机器学习的收益预期放进结构化组合模型，提示投资 AI 不应只预测资产，也要理解决策者的行为与约束。
AI Investment Frontier AI Investment Frontier — Risk Preferences Are a Portfolio-Model Input A new paper combines machine-learned return expectations with a structural portfolio model. The lesson for investment AI is to model behavior and constraints, not just forecasts.
AI Investment Frontier AI Investment Frontier — The Portfolio Solver Needs a Contract A new comparison of photonic, classical, and reinforcement-learning optimizers points to a practical rule: make the solver’s contract explicit before comparing performance.
AI Investment Frontier AI Investment Frontier — Measure Reliance, Not Just Forecasts A new study on AI-supported investment decisions points to a practical design rule: measure how systems change investor judgment, not just forecast accuracy.
