Your Laptop Works. Apparently That's a Problem.

There's something wonderfully absurd about the technology industry.

It spends years telling us that its products are faster, smarter and more powerful than anything we've ever owned.

Then, a few years later, it explains why they're no longer good enough.

Now we have AI.

Suddenly, the laptop that handled your spreadsheets, presentations, emails and questionable browsing habits perfectly well last Tuesday is apparently holding back your future.

You need an AI PC.

Preferably before Christmas.

The upgrade nobody asked for

To be fair, some AI features genuinely benefit from new hardware.

Running models locally can improve privacy, reduce latency and enable useful offline capabilities.

That's particularly relevant for specialised professional applications.

But there's a difference between this technology benefits from dedicated hardware and everyone needs to replace their computer.

That distinction is getting lost in the marketing.

And it's not a trivial distinction.

I've worked in both digital transformation and carbon management. Those disciplines have an uncomfortable relationship.

Digital transformation asks what technology makes possible.

Carbon management asks what it costs.

Sometimes the answers point in opposite directions.

Check it. 👇

What if the biggest environmental consequence of AI isn't the electricity used to answer our questions, but the perfectly functional equipment we replace to ask them?

The sustainability argument has changed

Consumers are increasingly interested in practical product qualities: durability, repairability, running costs and useful life.

NielsenIQ's consumer technology research reflects the importance of these considerations.

European regulation is moving in the same direction.

The EU's right-to-repair directive, applicable from July 2026, strengthens repair rights for specified product categories.

This creates an interesting commercial contradiction.

One part of the industry is telling consumers to keep products in use for longer.

Another is encouraging them to upgrade because a new generation of intelligence has arrived.

Both arguments cannot automatically be right.

If AI becomes an excuse to shorten product life, it isn't digital transformation. It's planned obsolescence with a smarter adjective.

The questions worth asking

Before an organisation replaces hundreds of computers with AI-ready alternatives, it should answer three questions.

First, which applications genuinely require local AI processing?

Second, can existing equipment deliver the necessary functionality through software updates, cloud services or smaller models?

Third, do the expected benefits justify the financial and material costs of replacement?

These aren't anti-technology questions.

They're the questions any serious digital transformation programme should ask.

Because the point of adopting AI is not to own more impressive hardware.

It's to accomplish something useful.

The technology industry has become very good at selling us the future.

Perhaps the next sign of progress will be a company telling us that the future can run perfectly well on the laptop we already own.