AI’s next big growth engine may not look like a second coding boom
A PANews commentary argues that the market is asking the wrong question when it searches for a single “next Coding” moment for artificial intelligence. Coding became AI’s first large-scale commercial success because software development is fully digital, highly testable, modular, expensive in labor terms, and easy to adopt from the bottom up. That combination allowed AI coding tools and coding agents to move from autocomplete to testing, bug fixing, code migration, project-wide reasoning, terminal use, and repeated code revisions in real production settings. The piece says the bigger issue now is timing. Coding has shifted from an underappreciated opportunity to a broad market consensus, while the next AI growth engine may take longer to show up in revenue, profit, and free cash flow. Rather than one cleanly defined product, the next wave is more likely to come from many fragmented enterprise workflows moving into agent-based execution at the same time. Customer service and voice agents are presented as the closest single analogue to Coding, but finance, procurement, IT operations, healthcare administration, legal work, insurance, and supply chain processes could collectively outweigh software development. The article also uses Microsoft’s FY2026 fourth-quarter disclosures—100,000 Foundry customers, more than 30 million paid Microsoft 365 Copilot seats, and nearly 40 million registered Agent 365 agents—to separate enterprise AI adoption into three layers: building, using, and governing. Its broader conclusion is that AI demand is real, but investors still need proof that non-coding use cases can convert infrastructure spending into durable end-market cash flow.








