Most forecasts about AI in software development argue about headcount. That is the least interesting question. The useful one is narrower: which parts of building software are still expensive in ten years, and which have collapsed to nearly free? Cost is what reshapes a profession, and the costs are moving unevenly.

What Genuinely Changes

The work that disappears first is the work that was never really thinking. Glue code between two services. The fourth CRUD endpoint this week. Test scaffolding that mirrors a structure you already described. Framework migrations that are mechanical but tedious enough that they sit in the backlog for two years.

This is a larger share of most codebases than we like to admit, and its cost is already falling sharply. The second-order effect matters more than the first: when a change is cheap to produce, teams produce more changes, and the constraint moves downstream to review, integration, and operability.

Expect review to become the bottleneck, and expect that to be uncomfortable for teams that treated code review as a formality. The organisations that invested in tests, observability, and a genuine culture of critique will absorb the volume. The ones that did not will ship faster into a system nobody understands.

What Stubbornly Does Not

Deciding what to build does not get cheaper. Neither does deciding what not to build, which is harder and rarer. Someone still has to work out that the feature request is a symptom, that the real problem is three layers down, and that the elegant solution will not survive contact with the billing system.

Holding a large, unfamiliar system in your head and sensing where it will break stays valuable, and probably becomes the defining senior skill. Reading code has always been harder than writing it. In a decade where far more code exists and far less of it was written by anyone on your team, that asymmetry widens.

Ownership does not transfer either. When the system fails at three in the morning, a model is not on call. A person answers for the decision, explains it to a customer, and decides what to change. That accountability is not a side duty of the job. Increasingly, it is the job.

The Problem Nobody Has Solved

Here is the part that should worry the industry more than it does. Judgment is not taught, it is accumulated. Engineers develop instinct by writing the naive version, watching it fail in production, and internalising why. The grunt work was never only grunt work; it was the apprenticeship.

If the bottom rungs of the ladder are automated away, we still need seniors, but we have removed the path that produced them. No one has a credible answer to this yet. Treating it as an obvious win is the single most common mistake in this conversation.

What To Do Now

Invest in the things that make volume survivable: tests you trust, deployments you can reverse, logs that answer questions, and boundaries that keep a bad change local. These were always good practice. They are now load-bearing.

For your own career, bias toward the skills that compound rather than the ones being commoditised. Get better at reading unfamiliar systems, at writing down why a decision was made, and at saying no with a reason attached. Those hold their value in every version of the next ten years I can construct.

The developers who do well will not be the ones who resisted the tools, nor the ones who accepted every suggestion. They will be the ones who stayed responsible for the result.