On Friday, OpenAI launched GPT-5.6 and, almost simultaneously, began consolidating experiences that had previously lived in separate products - bringing coding, browsing and conversation into a single desktop interface.

It’s easy to see this as product simplification. But these moves felt more significant than the release itself. I think it’s a signal of something broader.

For the past few years, AI has evolved as a collection of specialised tools. We chatted in one application, wrote code in another and browsed the web in a third. That reflected the reality of the underlying models. Different tasks genuinely required different capabilities.

As models become more capable, those boundaries begin to disappear.

At some point, maintaining separate applications no longer improves the customer experience. It simply preserves decisions made when the technology had different constraints.

That raises an interesting question well beyond AI.

Every organisation accumulates products, channels and operating models that made perfect sense at the time they were created. Over time, the technology evolves, customer expectations change and capability expands. The original boundaries often remain long after the reasons for them have disappeared.

The challenge then isn’t adding another product.

It’s recognising when yesterday’s portfolio has become today’s complexity.
Whether OpenAI’s approach proves to be the right one remains to be seen. Platform transitions rarely happen without trade-offs. Some customers will value specialised experiences, while others will prefer a single environment that removes friction.

But the broader pattern feels familiar.

Technology doesn’t just create new products. Occasionally, it removes the need for old distinctions altogether. The organisations that recognise those moments early often reshape markets. Those that don’t tend to optimise around boundaries that no longer matter.

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