Key Takeaways
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Belief and action gap: Venture firms report high confidence that AI will reshape operations within a year, yet many of the same firms adopted no new tool and built no workflow last quarter.
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Real barriers: Security concerns, tool overload and data quality hold venture firms back from adopting AI, and unclear return on investment is the least cited barrier of the four.
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Adoption by use case: Venture firms apply AI mostly to internal operations, while LP reporting, spotting trends across portfolio data and benchmarking portfolio performance stay largely untouched.
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Where advantage sits: Competitive advantage rests on relationships rather than on how much of the workflow a firm automates, so AI capacity alone does not separate one fund from another.
Everyone in venture has a take on AI. We wanted the data behind the takes.
The Visible AI Sentiment Report is our first twice-yearly look at how AI is actually being adopted across venture capital firms. We surveyed operators, investors, and fund managers on what's working, what isn't, and what's holding most firms back from going deeper. Check out the results below:
The Gap
81% of respondents are highly confident AI will transform how their firm operates in the next 12 months. The median confidence score was 9 out of 10.
Yet 30% of those same firms adopted zero new tools in the past 90 days. 40% built zero new workflows in the same period.
We're calling it the belief-action gap. And understanding why it exists is more interesting than the gap itself.
Only 16% of firms cite lack of clear ROI as a barrier to deeper AI adoption. The real blockers are security concerns (51%), tool overload (49%), and data quality (41%).
Firms aren't sitting on the sidelines because they doubt AI. They're sitting on the sidelines because getting started is operationally hard. That's a very different problem to solve.
The Opportunity
Internal ops leads at 57% of firms. But LP reporting sits at just 16%. Identifying trends across portfolio data is at 16%. Benchmarking portfolio performance is at 8%.
The highest-value use cases are the least utilized. That gap points directly to the data problem sitting underneath most AI adoption in venture. General-purpose tasks don't require your firm's data. Portfolio intelligence does.
The Current Usage
The average Visible customer extracted more than 10x the metrics via AI this year compared to last. Over 50% of all metrics in Visible are now extracted via AI Inbox rather than entered manually.
The firms building a clean data foundation now are the ones who will unlock the highest-value use cases next.
The Question Behind It All
Every hour reclaimed from repetitive work points to the same question: what do you do with the time you get back?
The firms that will pull ahead aren't the ones that automate the most. They're the ones who use that time to get closer to their founders, their LPs, and their teams.
In a world where every firm has access to the same models and increasingly the same data, the competitive advantage is still the same one it has always been. The relationships.
Download the full report and check out all of the insights below:
Frequently Asked Questions
What is the Visible AI Sentiment Report?
The Visible AI Sentiment Report is a twice-yearly survey of how venture capital firms are adopting AI, covering what is working, what is not, and what stops firms going deeper. Visible surveyed operators, investors and fund managers, and this is the first volume in the series.
Why are venture firms slow to adopt AI when they believe in it?
Venture firms hold back because getting started is operationally hard, not because they doubt the technology. The survey found unclear return on investment to be the least cited obstacle of the four tested, which places the difficulty in execution rather than in the business case.
What is the biggest barrier to AI adoption at a venture firm?
Security concerns rank first, cited by 51 percent of firms surveyed, followed by tool overload at 49 percent and data quality at 41 percent (Visible AI Sentiment Report, Vol. 1, 2026). All three sit well above unclear return on investment at 16 percent.
How much of a fund's metric data is now produced by AI rather than entered by hand?
More than half of all metrics now come from AI extraction rather than manual entry, measured across Visible's customer base (Visible, 2026). The average customer extracted more than ten times the metrics through AI this year compared with last.
