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AI Broke Software Economics: New Rules

Software
Pricing
Videos
Advice
AI
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Published on Aug 4, 2026

AI Just Destroyed Software Economics.

Software used to be expensive to build and cheap to copy. AI just flipped that on its head. When anyone can spin up a working tool in an afternoon, the old rules of pricing, competition, and “moats” start to melt. This post breaks down what actually changed and how to survive when your clever little app can be cloned by a teenager with ChatGPT.

How To Not Get Steamrolled By AI Clones

If AI can rebuild your product in a weekend, your safety net is everything around the code: audience, education, and ecosystem. Build a list. Publish tutorials. Create templates that solve specific, painful problems for niches. Make switching away from you genuinely annoying because customers would lose their automations, history, and playbooks. In an AI world, code is the commodity and trust is the asset. The faster you reframe your business around that, the less scary “AI destroyed software economics” becomes.

The New Rules Of Software Economics

  • Assume your feature set is instantly copyable, so your advantage must live in brand, audience, and distribution.
  • Stop selling “software” and start selling outcomes: faster leads, more sales, better reports, clearer insights.
  • Charge for data, integrations, and workflow ownership instead of just buttons and dashboards.
  • Ship ugly but useful v1s quickly, then iterate in public while competitors are still polishing their clones.
  • Treat AI as a teammate: let it write code, docs, and onboarding so you can obsess over customer results.

Who’s Already Playing By The New Rules

Notion logo

Notion turns generic note-taking features into a power platform by selling connected workflows, templates, and community-driven best practices instead of a basic notes app.

Zapier logo

Zapier charges for owning the automation layer between tools, proving people pay more for reliable workflow glue than for any single cloned feature.

Linear logo

Linear uses a simple issue tracker foundation but wins with speed, opinionated workflows, and a brand engineers actively want to adopt.

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