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Why AI-native? The evidence, sourced.
Big claims deserve receipts. Here is what Y Combinator, a16z, Stanford and McKinsey actually say about AI-native software — every claim linked to its source, nothing invented.
The one-paragraph version
Y Combinator says AI has collapsed the cost of producing software by 10–100× and is explicitly backing AI-native replacements for legacy business software. a16z's survey of 100 enterprise CIOs found buyers prefer AI-native vendors because they innovate faster. Stanford's AI Index reports 78% of organisations used AI in at least one business function in 2024. The direction of travel is not in dispute — the question is how your business takes advantage of it.
What Y Combinator says
Y Combinator is the world's best-known startup accelerator — the early backer of Airbnb, Stripe, Dropbox and Coinbase. Its Requests for Startups describe where its partners believe the biggest opportunities are. The 2026 edition is unambiguous about AI-native software:
The cost collapse
"AI has collapsed the cost of producing software by 10–100x, and that changes everything."
— Jared Friedman, YC Partner, Requests for Startups (2026)
The legacy moat is gone
"The moat that once protected legacy SaaS — millions of lines of code, built over decades — is gone. … The next generation will be built by replacing legacy SaaS with AI-native software."
— Jared Friedman, YC Requests for Startups (2026)
Tiny teams, serious software
"A 2–3 person team can ship something a Fortune 10 can find useful before the ink is dry on their incorporation docs."
— Harshita Arora & Brad Flora, YC Requests for Startups (2026)
AI writes the code
For a quarter of YC's Winter 2025 batch, roughly 95% of their code was AI-generated — reported by YC President Garry Tan in March 2025.
YC's 2026 requests explicitly include categories such as SaaS Challengers, AI-Native Service Companies and The AI Operating System for Companies — the accelerator is actively funding the thesis, not just describing it.
What buyers and researchers say
Enterprise buyers prefer AI-native
a16z's 2025 survey of 100 enterprise CIOs found the primary reason buyers prefer AI-native vendors is their faster rate of innovation — with incumbents "increasingly outperformed by AI-native competitors" on product quality and velocity.
AI adoption is now the norm
78% of organisations reported using AI in at least one business function in 2024, up from 55% a year earlier.
Stanford AI Index Report 2025, drawing on McKinsey survey data
The value sits in workflows
McKinsey projects generative AI could add US$2.6–4.4 trillion annually, with about 75% of that value in customer operations, marketing & sales, software engineering and R&D — workflow functions, not moonshots.
McKinsey Global Institute, June 2023 (projection)
What this means for a NZ or Australian operations business
You don't need to be a startup to benefit. The same economics apply to a wholesaler in Auckland or a manufacturer in Melbourne:
- Custom is no longer a luxury. Workflows that never justified bespoke software — the pricing spreadsheet, the goods-inwards process, the compliance paperwork — now can be purpose-built.
- Small teams can deliver. You no longer need a 20-person dev shop and a year; small, focused builds ship in weeks.
- Speed compounds. AI-native systems are cheap to change, so they keep improving as your business changes — the a16z finding about innovation speed applies to your own tools too.
What we deliberately don't claim: that AI-native is always better, that legacy platforms are obsolete, or that a specific ROI percentage applies to your business. The honest version is strong enough: the cost of fit-for-purpose software has collapsed, and buyers who exploit that move faster than buyers who don't. Where a proven platform fits, we'll recommend the platform.
Frequently asked questions
What does Y Combinator say about AI-native software?
In its 2026 Requests for Startups, YC partner Jared Friedman wrote that AI has collapsed the cost of producing software by 10–100×, that the moat protecting legacy SaaS is gone, and that the next generation of business software will be AI-native. YC is funding startups on exactly this thesis.
Do businesses actually prefer AI-native vendors?
a16z's 2025 survey of 100 enterprise CIOs found buyers prefer AI-native vendors primarily for their faster innovation rate, with incumbents increasingly outperformed on product quality and velocity.
How common is AI in business now?
Per Stanford's AI Index 2025 (drawing on McKinsey survey data), 78% of organisations used AI in at least one business function in 2024 — up from 55% the year before.
Want this thinking applied to your operation?
Bring us one painful workflow. We'll tell you if it's a platform fix or an AI-native build — and what each would involve.