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The Investor's Edge Lives in Their Head — Anekha Sokhal, Moshi

Anekha Sokhal separates research work that machines can prepare from investment judgment that still needs accountable human context.

AI Engineer · 2026 featured video

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What this video shows

Sokhal argues that investment edge often sits in a person's accumulated context rather than one clean database. An AI system can monitor markets, gather sources, clean data, and expose disagreement, while the investor remains responsible for interpreting incomplete evidence and making a decision. The talk presents this split through Moshi's product perspective.

A safe workflow gives the model a research contract rather than trading authority. Require primary sources, timestamps, calculations, and explicit uncertainty. The analyst checks conflicts and records the decision rationale. Evaluate research completeness and citation support separately from investment performance because a profitable outcome can follow weak reasoning and a sound process can still face an adverse market move.

Use Learnetto's source checks alongside the SEC's investment adviser marketing rule when a product presents performance or recommendation claims.

What you will learn

  • AI can prepare evidence without owning the investment decision.
  • Private experience and client context may not fit a general model or database.
  • Source disagreement is useful output and should remain visible.
  • Evaluate research quality separately from returns.

How to apply this safely

  1. Define the market, horizon, permitted sources, freshness limit, and calculations for one research task.
  2. Require links, dates, quoted evidence, assumptions, and uncertainty for every material claim.
  3. Have an accountable analyst review conflicts and record the final rationale before any action.
  4. Audit citation support, omitted evidence, correction rate, research time, and downstream decision quality.

Important limitations

  • The speaker founded Moshi, so the architecture and benefits are a vendor viewpoint.
  • The talk does not report a controlled comparison of analyst outcomes with and without the product.
  • Market data licenses, privacy duties, suitability rules, and recordkeeping requirements vary.
  • Human review can become ceremonial unless reviewers have time, authority, and original evidence.

Sources to check

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