Who exactly Is AI saving time for?

For as long as most of us can remember, technology has arrived with the same promise: this will save you time.

Email was meant to reduce paperwork. Search was meant to eliminate hunting for information. Knowledge management systems were meant to make expertise instantly available. Metadata would organise everything. Personalisation would bring the right content to the right person at the right moment.

Now AI has joined the queue.

Yet somehow, despite decades of labour-saving innovation, nobody seems to have discovered all this spare time we were promised.

In our post-focusing age, increasingly untroubled by the lessons of the past, it is all the more important to spell out what is being squandered at such a moment. We have become remarkably good at forgetting that most technologies do not remove work. They often redistribute it.

AI can undoubtedly save time. Drafting is quicker. Searching is faster. Analysis arrives in seconds. But a worthwhile question is rarely asked:

Whose time is being saved?

The employee who receives twenty AI-generated emails instead of ten? The manager now expected to produce reports, summaries and presentations at twice the speed? The knowledge worker who can complete a task in half the time, only to discover that half the time now means twice the workload?

Historically, productivity gains have not resulted in people collectively putting their feet up on a Tuesday afternoon. More often, they create capacity that is promptly filled with something else.

This is not an argument against AI. Far from it.

But perhaps the real conversation is not whether AI saves time. It clearly can.

The more interesting question is what organisations choose to do with the time it creates and whether any of it ever finds its way back to the people who generated it in the first place.

As ever, the technology changes faster than the assumptions that surround it. And some lessons seem destined to be relearned every generation.