Distribution and Data: The Only Moats Left for AI-Era Startups

The collapse of traditional competitive advantages

AI companies absorbed $242 billion in venture funding during the first quarter of 2026—representing 80% of all global venture capital deployed in that period, according to Crunchbase data. The concentration reflects a fundamental shift: software that once took months to build can now be replicated in hours, erasing technical moats that previously protected startups from competition.

Rime Salmi, founder of Fractl, an invite-only network connecting founders and investors, observes the transformation from her position vetting attendees for exclusive events. Her screening process filters out what she calls "posers"—people misrepresenting themselves as investors while actually seeking funding or worse. The careful curation reflects broader investor uncertainty about where to place bets outside the AI gold rush.

"Investors are not sure where the world is going," Salmi told Forbes. "AI is a big buzzword, but we don't know where the human fits in that anymore."

Global venture investment reached $510 billion in the first half of 2026, exceeding all of 2025's total. OpenAI and Anthropic alone captured 43% of that capital. Everything outside the AI trade must now explain why it cannot be instantly copied.

Why it matters

The shift from technical to distribution-based moats fundamentally changes what makes a startup defensible. Founders can no longer rely on code complexity or feature sets to maintain competitive advantage—they must build direct relationships with audiences and accumulate proprietary datasets that competitors cannot quickly replicate. This rewards different founder skill sets and changes how early-stage companies should allocate resources between product development and audience building.

Two moats remain standing

Salmi argues that speed of construction no longer measures validity. An app assembled with AI in seconds can still succeed if it controls the right assets. Two competitive advantages survive the collapse: distribution and proprietary data.

"If a startup has solid proprietary data, that's something that would be very difficult to vibe code them out of because it would just take years to get really high quality in depth data," she explained.

The distribution moat means founders must become their own channels. Building a personal following creates "an audience that is captive and owned," harder for competitors to capture than rented reach through paid marketing. Salmi runs storytelling workshops teaching founders to communicate effectively at every interaction.

Nimrod Lehavi, founder of AI venture studio Inevitable AI Group, raised a $6 million pre-seed round led by Aleph on the thesis that one-person teams can now clone billion-dollar software companies. His firm operates on that model.

The business of curation

Fractl's model rejects pay-to-play access, instead betting that rigorous screening creates more valuable rooms. Salmi refuses to charge founders mid-fundraise, instead generating revenue through sponsorships—a model that carries crypto market exposure she acknowledges openly.

"If bitcoin is doing well, then people are spending on marketing," she said, noting the challenge of revenue volatility tied to crypto cycles. She is pursuing Web2 sponsors to stabilize the business.

Salmi expects the next crypto growth phase to be "very, very, very enterprise driven"—institutional adoption rather than retail speculation. She also anticipates increased demand for curated in-person experiences as digital infrastructure becomes ubiquitous.

The details were first reported by Boaz Sobrado for Forbes.