AI Investment Frontier AI Can Classify Investment Disclosures—If Humans Audit the Measurement A new study shows how AI can turn adviser disclosures into a measurable research workflow, while also showing why the measurement design matters as much as the model.
AI Investment Frontier AI Investment Workflows Need an Exception-Rate Test AI adoption in asset management is changing research operations, but the useful unit of progress is fewer unresolved exceptions—not faster summaries.
AI Investment Frontier AI Portfolio Memory Needs a Counterfactual Credit Check A new portfolio-agent study shows why rewarding memories by portfolio outcomes confuses market moves with useful experience—and how to test the difference.
AI Investment Frontier AI Investment Research Needs Expiry Dates for Its Evidence AI can compress research intake, but an investment workflow is safer when every claim carries a freshness window, source, transformation, and human check.
AI Investment Frontier AI Investment Research Needs a Disclosure Audit Before It Becomes Workflow AI can compress investment disclosure review, but the durable workflow is an auditable claim ledger—not a confident summary.
AI Investment Frontier AI Can Reproduce Investment Research—If the Workflow Keeps Its Receipts A new LLM research workflow points to a practical investment use: reproduce claims first, then separate verified evidence from model-generated extensions.
AI Investment Frontier The Next Investment AI Test Is a Reproducible Research Trail Agentic research can compress discovery, but its durable value depends on a dated trail of sources, claims, checks, and human decisions.
AI Investment Frontier AI Advice Needs a Grounding Test Before It Enters Investment Research AI can make investment analysis sound credible before it is well grounded. A practical workflow separates evidence retrieval from advice style and tests both.
AI Investment Frontier AI 监控投资信息，关键不是多发提醒，而是说清发生了什么变化 AI 可以持续观察研究对象，但真正有用的产物应是带时间与证据的变化日志，而不是无法解释的提醒洪流。
AI Investment Frontier AI Monitoring Is Useful Only When It Shows What Changed AI can watch a research universe continuously, but the useful output is an auditable change log—not a stream of unexplained alerts.
AI Investment Frontier LLM Investor Simulators Need a Behavior Audit Before Portfolio Use A new paper-trading study changes the useful role of LLMs in investment workflows: audit behavioral fidelity before using them to test decisions.
AI Investment Frontier The Agentic Research Desk Needs an Auditable Queue Before It Needs Autonomy AI agents can sort an investment team's reading queue, but the useful unit is an auditable claim, not an impressive summary.
AI Investment Frontier 先算清盈亏平衡点，再决定要不要用基础模型做预测 时间序列基础模型改变投资研究的地方，不是模型更大，而是研究者可以先用数据长度、季节性和小规模滚动测试决定是否值得投入。
AI Investment Frontier Before Choosing a Forecasting Model, Measure the Break-Even Point AI forecasting changes the research workflow when model selection starts with data length, seasonality, and a small walk-forward pilot—not model prestige.
AI Investment Frontier 投资智能体要做版本化技能维护，而不是无限自我进化 一项新的 SEC 文件问答研究把智能体错误变成有范围、可回归测试的技能补丁。这比让系统自行改写规则更适合投资研究。
