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AI reads every pitch deck that hits the inbox. Partners spend their time on what still matters — founder judgment and market taste.
Kenji, a principal at a Series A fund, starts Tuesday by reviewing 40 AI-summarized inbound decks. The model has ranked them against the fund's thesis, pulled founder LinkedIn and GitHub histories, scraped competitive landscape, and flagged three for a partner meeting. Last year this was a full day of reading. Now it is 90 minutes — which is good because he has two diligence calls and a portfolio board meeting before lunch.
| Task | Before AI (2020) | Now (2026) |
|---|---|---|
| Inbound triage | Associate week of reading. | 90 min with ranked queue. |
| Data room diligence | 3 weeks of reading. | 3 days of AI extraction + verification. |
| Portfolio updates | Quarterly email chase. | Live dashboard with anomaly flags. |
If you want to be a VC: There is no clean path. Operate first — product, engineering, or sales at a venture-backed startup for 5-10 years. Build a network. Start angel investing or write on markets you know cold. Then join a fund as an associate or principal, or start a scout program. Learn basic SQL and how to read a SaaS metrics dashboard. Develop a written thesis and publish it. Funds hire people with convictions, not resumes.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-career2-venture-capitalist-deep
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