Predictions about AI tend to be either apocalyptic or utopian, and both are easier to write than the useful version. The useful version looks at what is shipping now and extrapolates modestly.
They stop being separate products
The chat window was a transitional interface. It made sense while nobody knew what these systems were for, and it is a poor fit for most actual work.
What replaces it is invisible integration: the model runs inside the spreadsheet, the email client, the design tool, and the code editor, doing something specific rather than answering questions. Users stop thinking about which model they are using in the same way they stopped thinking about which spell checker.
Specialisation beats size
The largest models will keep getting better and will not be what most work runs on. A smaller model tuned for one domain, running cheaply, handles the bulk of production traffic, with the expensive one reserved for genuinely hard cases.
That routing pattern is already standard in production systems and will become the default rather than an optimisation.
Verification becomes the product
The bottleneck moves from generating output to trusting it. Tools that show their working, cite sources, and flag their own uncertainty will win over tools that are marginally more capable and opaque.
This is the single most underrated area. A model that is right ninety percent of the time and tells you which ten percent to check is more useful than one right ninety-five percent of the time that gives no signal.
What will not happen
Whole professions disappearing. Tasks within professions get automated and the profession reorganises around what is left, which is what happened with every previous automation wave.
The change is real and it is slower and less dramatic than either the promoters or the alarmists suggest.