AI is making software cheap to build. Is your organization ready for what comes next?
Two engineers built a production database in eight weeks. Now picture that happening thousands of times across your enterprise — and ask yourself: who owns it when they leave?
Why it matters
As AI makes software creation cheap, enterprise risk and governance frameworks built around scarcity are breaking down. CIOs/CTOs face a new problem: abundance without visibility, audit trails, or ownership — and most control processes can't keep up.
The key facts
6 to knowPerplexity: 2 engineers + AI agents built CobbleDB (40,000-line Rust database) in 8 weeks for production use; 80%+ median read latency reduction, 20%+ cost savings vs DynamoDB
Payhawk: replaced $70k/year commercial performance-management tool with AI-assisted custom build
Starbucks: building AI replacements for Microsoft inventory system and IBM maintenance platform; ~$400M annual software spend; some systems target launch by end of 2027
Microsoft 365 Copilot App Builder: plain-language app generation with working output in minutes
Control gap: AI-generated tools built by employees skip procurement, CAB, access review, and have no scheduled decommissioning or ownership accountability
Discovery problem: creation becoming cheaper than discovery inverts the economics of reuse; untracked software population grows faster than governance can absorb
Go to the source
CIOcio.com
Publisher excerpt: What happens once building software stops being expensive? That’s the question at the center of this piece, and I think it’s about to matter for every CIO/CTO managing an enterprise technology budget. For decades, that expense has quietly shaped how enterprises operate. When custom development…