Why 90% of Startups Over Two Years Old Become Obsolete: The End of the MVP and the Results-Driven Startup Ecosystem
Date
May 28, 2026
Classification
- Startups
#
- Investment/Market Trends
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Source: Ministry of Science and ICT
Your startup may have already received a death sentence.
#StartupStrategy #AIAgent #BusinessModel #SunkCosts #Pivot
🫑 3-Line Summary
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With two-thirds of venture capital investment concentrated in AI after 2025, established startups that are over two years old are facing a serious survival crisis due to outdated technology stacks and business plans.
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With the emergence of natural language coding tools like Vibe Coding, product development costs and time are being drastically reduced, causing the traditional serial Agile processes and large-scale development team formation formulas to collapse.
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As software evolves beyond simply providing screen interfaces to become result-oriented that completes tasks autonomously, pricing models are also rapidly shifting from user seating-based to performance-based.
🥦 Insight
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Boldly Escaping the Trap of Old Maps and Sunk Costs
We live in an era where proprietary code and features painstakingly crafted over years are instantly commercialized by AI. Planners and management must guard against the sunk cost trap, where we become bound by the time and assets we have poured in and turn a blind eye to change. It is time to boldly discard the playbooks of the past and ask ourselves, from a zero-set perspective, what would we build if we were starting a new company today?
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Fit proving itself with productive results, going beyond the MVP award
Simply creating a Minimum Viable Product (MVP) that looks impressive on the surface is no longer a means of proving a team's capabilities. Product managers and marketers must move away from interface-centric thinking that merely keeps customers on the screen longer and redesign services into Minimum Productive Deliverables (MPOs) that instantly solve the user's final needs to have a chance of success.
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Transition from serial development to parallel prompt navigation
The serial structure of planning, developing, and testing in Agile is now merely a source of bottlenecks. We need the agility to leverage AI agents to parallel test dozens of UI flows and pricing models simultaneously at the same cost. Ultimately, as the limitations of engineering disappear, the leader's keen judgment, proprietary data, and deep domain knowledge remain the only moat.
🥄 A spoonful of execution
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Let's take a sober look at the product roadmap and pricing structure our team has been working on for months to see if they could be instantly replaced by solutions from giant tech companies or AI-native competitors. Instead of clinging to the wording of outdated plans, try formulating just one flexible hypothesis that allows us to pivot most quickly to meet today's market needs.
—— View Original ——
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Most startups that are over two years old are highly likely to have outdated business plans and technology stacks amidst the rapidly changing environment of the AI era, and they must assess their current status immediately.
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With two-thirds of VC investment concentrated in AI-related deals by 2025 , non-AI startups are facing a situation where they must compete for an increasingly shrinking funding pool.
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As Vibe coding tools enable the building of MVPs within days, existing development team structures and Agile processes themselves are being fundamentally restructured.
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As AI agents transform all categories of software and products shift from interface-based to results-based, pricing models are also moving from seat-based to performance-based.
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