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AI in 2026 has a paradox

2026-05-10 · 21:33 UTC ·@aakashgupta ·2 min read

Brief

AI in 2026 faces a paradox: frontier models (Claude, GPT-5, Gemini) are commoditized, so product success hinges on the 'harness'—prompt and context engineering, tool calls, memory, skill files, eval rigs, and orchestration. Lower model prices haven't shifted moats; firms that built harnesses ~18 months ago remain ahead. Aakash Gupta highlights these claims and points to an AI Skills conf on May 14 (conf.cosprints.ai/?32) with 20+ industry speakers.

Why it matters

AI in 2026 has a paradox: product performance depends on the 'harness' (prompt design, context engineering, tool calls, memory architecture, skill files, eval rigs, orchestration), not the model; Cursor, Devin, Replit, Lovable, and Windsurf all run on the same frontier models—Claude, GPT-5, Gemini—and 'switch the model and the products keep working; switch the harness and they break.'

Key details

  • Model commoditization: drops in model price and new frontier models haven't shifted competitive positions—companies that built harnesses ~18 months ago are effectively uncatchable; a 2024 model with the right harness can beat a 2026 model with no harness on real tasks.
  • AI Skills conf (May 14, conf.cosprints.ai/?32) will feature 20+ speakers from Google DeepMind, AWS, Meta, DoorDash, Spotify and others; 5,000+ professionals registered, sessions include context engineering, agentic memory, building AI Chiefs of Staff, and a talk from David Campbell (Scale AI) on why harnesses, not models, will define 2026 winners (8 AM PT / 11 AM ET / 4 PM London).
Source evidence

AI in 2026 has a paradox nobody's solving for: the better the models get, the less the model matters.

Cursor, Devin, Replit, Lovable, and Windsurf all run on the exact same three frontier models. Same Claude. Same GPT-5. Same Gemini. Switch the model and the products keep working. Switch the harness and they break.

The harness is everything that's not the model. Prompt design. Context engineering. Tool calls. Memory architecture. Skill files. Eval rigs. Orchestration logic. The thing that turns one model call into a system that ships software for you.

None of that gets cheaper when models get cheaper. None of it improves when models improve. All of it has to be earned, and the companies that earned it 18 months ago are uncatchable now.

This is why model price drops haven't shifted competitive position in any AI tool category. The model commoditized. The moat held. The labs racing each other on benchmarks are training each other into commodity status.

A 2024 model with the right harness beats a 2026 model with no harness on real tasks. Anyone who's tried to swap their daily driver knows.

David at Scale AI is breaking down the harness wars at next week's AI Skills conf: conf.cosprints.ai/?32

Aakash Gupta (@aakashgupta)

20+ AI leaders from @GoogleDeepMind, @awscloud, @Meta, @DoorDash, and @Spotify are running live sessions on May 14. Free, on Zoom.

The talks I'd pay for if they weren't free:

  • Putting AI to work for creative marketing. Sandro Gelashvili (Google).
  • How non-developers are shipping production apps in 2026. Martin Slaney (Bolt).
  • Building your AI Chief of Staff from an empty Claude Code setup. Dima Zborovsky (DoorDash).
  • The 2026 AI tool stack for founders. Paige Bailey (DeepMind), Jafar Najafov (Nextool), Emanuel Cinca (Stacked Marketer).
  • Why 2026 is the year AI leaves the screen. Frantz Lohier (AWS).
  • How to build agentic products with Claude Code, no coding required. Pawel Huryn (Product Compass).
  • How to become irreplaceable with AI in 2026. Ksenia Se (Turing Post), Dhrupad Sethi (Meta), Robin Sutara (Databricks).
  • How corporations actually decide on AI tools. David Smooke (HackerNoon), Tanya Roosta (AMD), Andrey Skripkin (Meta).
  • Context engineering and agentic memory. Robert Youssef (God of Prompt).
  • Why AI harness, not models, will define 2026 winners. David Campbell (Scale AI).
  • Which AI use cases are actually delivering ROI. Ankur Khare (SAP), Merlyn Shelley (Packt), Stuart Clark (Spotify).
  • Stop Trying Not To Get Fired. Alexandra Tomashevskaya (Remote).

I'm running one too: How to use Claude to land your dream job.

5,000+ professionals registered. 5+ hours. 8 AM PT / 11 AM ET / 4 PM London.

Register: conf.cosprints.ai?32

— https://nitter.net/aakashgupta/status/2051401992338297333#m