Some IT executives say generative AI lowers the barrier for code creation, which could result in growing levels of complexity, technical debt, and confusion
Chief information officers could see their job getting more complex even as generative AI makes software development easier Tweets: @chrismattmann , @wavesblog , and @nyike Tweets: Chris Mattmann / @chrismattmann : The ability to automate parts of the coding process with generative AI promises to make programming easier even as it has the potential to make the CIO's job a lot more complex https://www.wsj.com/... via @WSJ @wavesblog : “These tools have the capacity to democratize code-writing, meaning more and more employees could start writing code for several new use cases” https://twitter.com/... Isaac Sacolick / @nyike : IMHO, a real concern > Some IT executives say that lowering the barrier for code creation could also result in growing levels of complexity, technical debt and confusion as they try to manage a ballooning pile of software. https://www.wsj.com/... #cio #ai
Context & Ripple Effects
In mid-2023, Chris Mattmann and Isaac Sacolick flagged a paradox for IT leadership: tools like the ones @wavesblog described would 'democratize code-writing,' letting non-developers ship software while piling complexity onto the CIOs' oversight of development teams. A companion report noted experienced programmers were gaining most of the productivity lift, putting junior-developer tasks on the chopping block.
The intervening years have borne out the warning rather than resolved it. By early 2026, workers are generating such volumes of code that companies are scrambling to review and secure AI-generated output, and a UCB study finds engineers offloading work to coding agents are actually working longer hours — the confusion CIOs feared in 2023 has become an operational problem.
First-order effects
- More employees outside formal engineering teams can now write code for new use cases, expanding the surface area CIOs must govern without adding headcount to do it.
Second-order effects
- As experienced developers absorb the productivity gains, demand shifts toward code-review, security-scanning, and governance capacity — the bottleneck moves from writing code to vetting it.
- Junior developer roles shrink as companies chase cost savings, thinning the traditional pipeline that produced the senior reviewers now needed to check machine-generated output.
Third-order effects
- If the pattern holds, software organizations restructure around review and risk management of machine-written code, with the CIO's mandate expanding from delivering systems to policing their provenance — even if productivity gains keep translating into longer hours rather than lighter workloads.
The trend: Software development is inverting from writing code to auditing machine-generated code, and the governance burden is consolidating on IT leadership.