AI is lowering the barriers for noncoders to build and integrate software themselves, instead of waiting for the IT department to get around to their requirements. While we’re excited about the potential this unlocks, we’re also wary of the first signs of AI-accelerated shadow IT. No-code workflow automation platforms now support AI API integration (e.g., OpenAI or Anthropic), making it tempting to use AI as duct tape — stitching together integrations that previously weren’t possible, such as turning chat messages in one system into ERP API calls via AI. At the same time, AI coding assistants are becoming more agentic, enabling noncoders with basic training to build internal utility applications.
This has all the hallmarks of the next evolution of the spreadsheets that still power critical processes in some enterprises — but with a much bigger footprint. Left unchecked, this new shadow IT could lead to a proliferation of ungoverned, potentially insecure applications, scattering data across more and more systems. Organizations should be aware of these risks and carefully weigh the trade-offs between rapid problem-solving and long-term stability.
