Thesis
Criteria
Approach
The Founder Experience
Companies
Team
News
Pitch Us
Thesis
Criteria
Approach
Companies
Team
News
Pitch Us
Back to thesis

Structural Reshaping

Rebuilding how an entire category operates. Our non-consensus allocation.

This is our non-consensus allocation.

The macro premise: AI will structurally reshape how entire sectors operate — not in a decade, in the next three to five years. Industries that exist only because of friction will compress. Roles that exist because humans were the only option will disappear. New industries no one has imagined will emerge around the capabilities AI creates.

This is where the "AI replaces the seat" thesis lives in its most aggressive form — not AI that helps a person do their job better, but AI that eliminates the job and creates something new in its place. And it isn't just about efficiency: middlemen that existed because of information asymmetry get disintermediated, bundles that existed because unbundling was too expensive get disaggregated, and markets that were structurally small because friction kept participants out suddenly get large. The reshaping creates new categories, workflows, and value chains that barely resemble what they replace.

THE GATES WE APPLY AT IC

The core question: is the macro shift a tailwind that makes this category inevitable within the fund's life — and can we see evidence it's already happening?

Timing is the dominant risk. We're comfortable being early, but not so early the market doesn't arrive before the fund needs returns. We need leading indicators: incumbents losing pricing power, talent flowing to the new model, early customers choosing the restructured version. Beyond that: Does the founder have the domain depth to see around corners — to know which frictions are load-bearing and which are artifacts? Can the company survive the weird transition years? And is the restructured market large enough — multi-billion-dollar — to justify the timing risk?

In the portfolio

CMS.ai

CMS.ai

Jim Milton's team builds the infrastructure that lets B2B brands be discovered, dialogued with, and trusted by AI agents. Most CMOs still think "AI strategy" means ranking in ChatGPT search. Jim's insight: that's a dead end. 94% of B2B buyers already use AI to research purchases and 75% of final selections come from AI's initial shortlist — yet only 4.3% of B2B companies appear in AI answers. The other 95.7% are invisible. CMS.ai builds the owned infrastructure to fix that — Brand Registry, MCP-native content servers, trusted answer layers — at $500K ARR at pre-seed, while the rest of the market retrofits SEO tactics.

Founders

Location

Industry

Partnered

Bonfire Lead

Stage

Founder fit

You may be a fit if you're reshaping a market, not optimizing a workflow.