Investors like Stacy Brown-Philpot and Aileen Lee now expect founders to demonstrate a clear, rapid path to massive scale early on. The old assumption that the next funding round would solve for scalability is gone; proof is required upfront.
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The current fundraising environment is the most binary in recent memory. Startups with the "right" narrative—AI-native, elite incubator pedigree, explosive growth—get funded easily. Companies with solid but non-hype metrics, like classic SaaS growers, are finding it nearly impossible to raise capital. The middle market has vanished.
Investor Stacy Brown-Philpot advises that to win large enterprise deals, an AI startup must create a solution so compelling it beats the customer's internal team vying for the same budget. The goal is to access the core 15% budget pool, not the 1% 'play money' budget.
With fundraising rounds closing in weeks instead of months, investors can no longer conduct exhaustive diligence on every detail. The process has become more efficient by treating the current business model as table stakes and focusing limited time on underwriting the core thesis for future, non-obvious growth.
AI drastically accelerates the ability of incumbents and competitors to clone new products, making early traction and features less defensible. For seed investors, this means the traditional "first-mover advantage" is fragile, shifting the investment thesis heavily towards the quality and adaptability of the founding team.
A core investment framework is to distinguish between 'pull' companies, where the market organically and virally demands the product, and 'push' companies that have to force their solution onto the market. The former indicates stronger product-market fit and a higher potential for efficient, scalable growth.
As AI enables founders to build products in a week for under $500, the need for traditional seed capital for engineering will diminish. The bottleneck—and therefore the need for capital—will shift to winning the intense battle for user attention. VCs will fund marketing war chests instead of just development.
When Fal was debating its pivot, their investor Todd Jackson asked which idea would get to $1M ARR faster versus $10M ARR faster. This framework forced them to evaluate not just immediate traction but long-term market size and velocity. It provided the clarity needed to abandon a working product for one with a much higher ceiling.
According to Gamma's CEO, if your product doesn't have strong organic word-of-mouth growth, you have not achieved true product-market fit. Any effort to scale sales, marketing, or team size before this is a waste of time and money.
A founder's ability to sell is not proof of a scalable business. The real litmus test for repeatability is when a non-founder sales hire can close a deal from start to finish. This signals that the value proposition and process are teachable, which is the first true sign of a scalable go-to-market motion.
