Inside VCs' 2026 AI Playbook: What Investors Are Actually Delegating to Agents

Venture and private equity firms have never been shy about using new technology to find and win deals faster. What's changed heading into 2026 is how much of that work is now happening inside an AI tool rather than in a spreadsheet a human built by hand. Affinity's own Private Capital Predictions for 2026 report, based on a survey of 275 private capital professionals across venture capital, private equity, growth equity, corporate venture capital, and accelerators, found that AI use for investment decisions more than doubled this year — from 13% to 28%.

That's not incremental. It's the clearest sign yet that AI agents have moved from a research-assistant curiosity to something investors are actually willing to let touch the decisions that matter.

What's actually driving the jump

Affinity's report frames 2026 as the year AI "evolves from experimentation to strategic expansion" inside private capital firms, and the underlying data supports the framing. Deal sourcing remains the top priority for exactly half of investors surveyed — flat year-over-year, but up sharply from just 30% in 2024 — and the reason isn't a mystery once you see how much time research actually eats. According to the same survey, a full third of dealmakers spend 21 to 40 hours a week researching deals, and another 24% spend 41 to 60 hours weekly on it. That's most of a working week, for a huge share of the industry, spent before a deal decision is even made.

Firms are also consolidating around fewer, more integrated data platforms rather than stacking up point solutions — Affinity describes the "sweet spot" shifting from 4-6 data sources to 1-3 — which the report reads as a sign that firms have moved past the experimentation phase and are now looking for tools that deliver real, compounding value rather than novelty.

The qualitative color in Affinity's own report backs up the scale of the shift. Mercedes Bent, Venture Partner at Lightspeed, is quoted describing what AI-assisted research has done to one of the most time-consuming parts of the job: "It used to take me three or four days to write a memo. Now, with the help of AI and deep research, I can get it done in four to six hours." David Hefter, AI Champion for Investments at Blackrock, points to the model capability shift behind that: "With reasoning models came tool calling, web search, and additional capabilities built on top of that. It unlocked an ability to get so much more value out of using AI tools."

What's being delegated — and what isn't

The report is careful to note that this is augmentation, not replacement. Brian James Murphy, Lead Data Scientist at Salesforce Ventures, puts it directly: AI is there to make sure "our team has the right information at the right time," not to "replace their judgment or try to mimic their judgment." In practice, that split shows up as a fairly consistent pattern across what firms are actually handing to agents right now:

• Deal sourcing research — surfacing and pre-qualifying opportunities faster than a human scanning the market manually.
• Financial data synthesis — pulling together financial data, market positioning, and competitive dynamics that would otherwise take days to assemble by hand.
• First-pass memo drafting — turning research into a structured draft a partner then edits and takes ownership of, rather than starting from a blank page.
• Portfolio monitoring — ongoing tracking of portfolio company performance between formal check-ins.

What's staying firmly with the human, per the same report, is the actual investment call — the relationship judgment, founder read, and risk tolerance that firms consistently describe AI as supporting rather than making.

Why this matters beyond the deal itself

Affinity's report ties the AI shift directly to a harder ask investors are facing in 2026: proving value to LPs in a reopening but more demanding fundraising market. With 38% of LPs allocating to other asset classes and 31% hesitant to reinvest while capital remains deployed, per the report, firms are under real pressure to show hard, data-backed evidence of how they source and evaluate deals — not just a track record narrative. A firm that can point to a faster, more rigorous, AI-assisted diligence process has a more concrete story to tell than one that can't.

What this means for investors and founders going forward

The direction of travel here is clear even if the pace varies firm to firm: AI agents are becoming a standard layer in how private capital does research, not an experiment a few firms are trying. For founders raising in 2026, that likely means a faster first read on your data room and a more consistent bar for what "well-organized" looks like going in. For investment teams, the winners in Affinity's own framing "won't be those with the most tools, but those with the most intelligent integration" — which is really just a more polite way of saying the firms that make delegation deliberate, rather than accidental, are the ones who'll actually see the time saved show up in more deals reviewed and better decisions made.