The best deal you'll lose this year won't go to a smarter investor. It'll go to a faster one.
Affinity's survey of nearly 300 private capital dealmakers found that 85% now use AI to automate daily tasks. That's up from 76% just a year earlier. And 82% of firms use AI for deal sourcing research.
The investor workflow has changed. Founders who don't understand the new system are walking into a process that is already moving without them.
How AI Has Rebuilt the VC Workflow
AI now touches every phase of the venture capital process, from deal sourcing and due diligence to portfolio monitoring and LP reporting.
The most widely used tools are general-purpose AI assistants — Claude and ChatGPT have become core infrastructure for investment teams. They handle memo drafting, financial modelling, market research, pitch deck review, and competitive analysis. For firms building AI into their workflows for the first time, these tools offer the lowest-friction starting point.
Beyond general AI, specialised tools are taking over specific functions. Research-first AI assistants provide citation-backed answers for market landscape analysis, competitive diligence, and fact-checking pitch deck claims. If a founder states they are the only platform doing something, an investor can validate or challenge that claim in seconds, with sources.
Other platforms index over 30 million companies and track founder movements, hiring signals, and early traction indicators — surfacing pre-seed and stealth-stage startups before formal fundraising processes even begin.
AI has collapsed the time between sourcing a startup and sitting across from its founder. The firms that haven't retooled are arriving at conversations that are already over.
The Shift from AI-Assisted to Agentic
There is a precise distinction between where most firms are today and where the industry is heading.
AI-assisted means a human copies, pastes, edits, or acts on AI output. The AI produces a draft. The human operates it.
Agentic means the AI reads data from a system of record, reasons about it, and writes back independently — updating investor records, posting transactions, triggering notices, completing workflows without waiting for a human to move each piece.
According to Deloitte's 2026 State of Generative AI in the Enterprise research, 44% of financial services firms plan to deploy agentic AI capabilities in production during 2026. That's up from under 10% the prior year.
Most fund administration platforms today have shipped the first kind. Very few have shipped the second. The shift from AI-assisted to agentic is the dominant enterprise AI investment thesis for 2026.
What This Means for Founders
When 85% of investors are running AI across their workflows, the due diligence process looks different from the founder's side.
Investors are now fact-checking pitch deck claims in real time during the meeting. Market sizing assertions get verified against external data sources within seconds. Founder backgrounds get cross-referenced against public records before the first call is even booked. Financial models get analysed against comparable companies the moment they are shared.
The gap between a well-prepared founder and an underprepared one has never been wider — because AI amplifies the quality of whatever information the investor receives.
A complete, organised deal room with current financials, documented assumptions, and a verifiable cap table no longer just looks professional. In an AI-augmented workflow, it accelerates every stage of the process.
A fragmented, incomplete data room creates friction at every step. And friction, in a world where investors are moving faster than ever, is what kills deals.
The Structural Shift
AI is not a shortcut in the investor workflow. It is a structural upgrade to how due diligence operates.
AI does not replace investment judgment. It removes mechanical review and repetitive synthesis, allowing investment teams to focus on hypothesis refinement, risk assessment, and strategic questioning. The decision remains human. AI improves the quality and speed of the inputs.
For founders, that means one thing: the infrastructure you bring to the table is now processed faster, checked more rigorously, and evaluated against a wider set of comparables than ever before.
Build accordingly.