Will “pre-seed” capital make no sense in the age of 24h prototyping and AI startups?
The idea of funding “nothing” or “just an idea” may become obsolete. As AI, no-code and ultra-fast prototyping collapse risk, VCs will shift to paying only for real customers, not early promise
The logic behind pre-seed—and why it may be exhausted
Pre-seed emerged as a way to finance the riskiest part of the startup journey: validating a concept, hiring the first engineers, building a prototype or MVP, and testing product-market fit. VCs and angels would absorb high failure rates in exchange for the optionality that comes with something working and being scalable.
Yet the economics of that venture are under pressure:
Pre-seed investment is already contracting. Carta reports that in Q2 2025, pre-seed funding fell by 25% from the previous quarter. (source: Carta)
In many deals, valuation and investor appetite are becoming increasingly tethered to traction (e.g. ARR), even at the “seed” stage. (source: Forum Ventures)
The rise of cheaper tools, such as AI, no-code stacks, and model APIs, dramatically reduces the cost and time required to prototype or test hypotheses. Some founders skip pre-seed and push directly toward product-market fit and seed or Series A funding.
As risk compresses, the premise of pre-seed—“let me pay you to build something risky so I can get a cheap equity claim if it succeeds”—loses its upside. If founders can build something viable in 24 hours, VCs may no longer need to subsidise that stage.
The era of “vibe coding,” 24h prototypes and AI enablement
We are seeing the emergence of a new pattern: hyper-fast prototyping, AI-augmented development, and continuous validation.
Prototypes in 24 hours
With AI copilots, libraries, templates, and no-code platforms, creating working demos in hours, not months, is now a realistic possibility. That compresses the “pre-seed buildup” phase into a negligible cost.
AI-first MVPs
Many new startups don’t build from scratch—they integrate foundation models, API stacks and adapt prompt engineering rapidly. The differentiation lies in orchestration, data and UX layering, rather than core model creation. The overhead shrinks.
Predictive validation
AI can now simulate or predict user behaviour, estimate adoption, or guide A/B feature selection before entirely building. This further reduces the need for speculative development.
This means the idea-to-prototype risk is significantly lower than in the past. The cost barrier that justified pre-seed is eroding.
If prototyping isn’t the bottleneck, what becomes VC’s job?
If the technical risk dissolves, VCs must shift from underwriting “building risk” to underwriting commercial risk: will this product find paying users, scale, and deliver margins?
From product risk to customer risk
Instead of betting on founders to build, VCs will bet on whether founders can sell their companies. Proof becomes real revenue, with paying users and retention metrics, not just a promise.
Paying for ARR, not ideas
VCs will increasingly look for deals where a startup already has customers or contracts, even if they are small. They may bypass the prototyping subsidy phase and invest only when there is traction. Because at that point, the downside is smaller, the upside is clearer.
VC as customer-acquirer
In this paradigm, VCs become buyers of growth or customer acquisition capacity (acquisition engines). They inject capital not to build but to scale, to go deep in sales/marketing, to push the flywheel. The value is buying incremental customers, not subsidising code.
Objections & Limitations
This thesis is provocative and not universally applicable. Several counterpoints:
Some industries (deep biotech, hardware, and regulated health) still require long lead R&D and capital-intensive validation, so pre-seed remains relevant in those domains.
Founder talent and vision still matter: the ability to spot problems, design a product, pivot, and lead remains a high-risk, yet high-reward, bet.
Risk is never zero: even a 24h prototype might be misleading; scaling and infrastructure demands will remain non-trivial.
Market and timing risks shift but don’t disappear. Even a “cheap prototype” can misfire.
Thus, pre-seed may not vanish entirely, but its role and structure will mutate.
What this shift implies for founders and investors
For founders:
Spend the bootstrap/pre-seed time on customer development, sales, pilots, not just building.
Aim to launch some paying traction before seeking institutional capital.
Lean heavily on AI, no-code, and rapid iteration to compress the build risk window.
For VCs and angels:
Recalibrate your funnel: source deals with real traction or genuine client interest, rather than a purely conceptual idea.
Expect a higher bar for early tickets: low-cost demos are less impressive when everyone can do them.
Reallocate capital toward scaling, go-to-market, and growth execution, not early product building.
Conclusion: pre-seed may not die, but it will lose its justification
Pre-seed capital was once indispensable because startups faced extremely high uncertainty and cost in turning ideas into prototypes. With AI, no-code, model APIs and predictive tooling, that cost is collapsing. What remains is the harder challenge—finding and retaining real paying users.
In the future, VCs will pay for certainty, not potential. They will invest at the point where the prototype is no longer a gamble—customers are the evidence. And so the era of subsidising empty promises may fade, replaced by funding real performance, from day one.