Guardian columnist's 7,000-email inbox exposes AI's time-saving myth

Gaby Hinsliff's inbox sits at well over 7,000 unread messages, and she says AI is making it worse, not better. In a column published by The Guardian on October 20, 2026, she argues that the technology promised to save us time is instead producing a flood of machine-generated material that we all pay to clean up.

"The government says it can transform the state with AI," Hinsliff writes, "but it is no match for the resulting stream of machine-generated slop. And we all pay the cost."

It's a blunt verdict from a veteran columnist. And it lands at a moment when governments, including the UK's, are betting heavily on artificial intelligence to reshape public administration. The stakes are straightforward: if AI floods official channels with low-quality output faster than humans can process it, the promised efficiency gains evaporate before they arrive.

How did email become the cautionary tale?

Hinsliff builds her argument on a technology most readers already live with: email. Her opening scene is her own inbox — "well over 7,000" messages, even after what she calls a "guilty cull."

Her response is a shrug borrowed from the writer Quentin Crisp. She invokes what she calls the "Quentin Crisp theory of housework": "why bother, when after four years or so you stop noticing the accumulating dust?" Empty inboxes just fill up again anyway, she notes.

The point is historical, not personal. Email, Hinsliff reminds readers, was supposed to save hours of meetings, phone calls, and time spent standing over photocopiers. That was the theory.

The practice turned out differently. In her telling, we now spend hours deleting messages that people would never have bothered sending if it had required picking up the phone, but which they can now blast to an entire database at the click of a button.

"The glorious ease and convenience of being able to reach the world in seconds came, we now know, with the inconvenience of them being able to reach you right back," she writes.

What does this mean for AI?

Hinsliff's argument treats email as the template for what happens next with AI. A tool arrives promising time savings. The savings materialize for senders and producers. The costs land on everyone downstream, who must read, filter, and delete.

That logic explains her skepticism about government AI ambitions. If the state adopts AI broadly, as the UK government says it intends to, the volume of machine-generated material moving through public channels grows. Someone still has to process it. Hinsliff's phrase for that material is unsparing: "machine-generated slop."

The column's core claim — "we all pay the cost" — rests on that asymmetry. Convenience for the producer becomes labor for the recipient. The 7,000-message inbox is the visible receipt.

Her Quentin Crisp aside makes the human dimension explicit. When the pile grows faster than any realistic effort to clear it, people stop trying. Four years of dust, in Crisp's formulation, simply stops registering. Hinsliff suggests inbox overload produces the same numbness.

Why does this column matter now?

The piece appeared in The Guardian's comment section under the headline "Don't be fooled. The AI that was supposed to save us time is doing just the opposite," with government AI policy as its explicit target.

That framing gives the column weight beyond one writer's inbox. Governments are marketing AI as a transformation engine for public services. Hinsliff's counterargument is that transformation cuts both ways: the same ease that lets AI generate content at scale lets it bury the humans who receive it.

She draws the parallel precisely. Email's history shows that a communication technology's promised savings can invert into new, unpaid work — the work of deletion. Her column implies AI is following the same curve, with the state as an enthusiastic early adopter.

The Quentin Crisp comparison carries the column's resigned tone. Hinsliff isn't forecasting doom. She's describing accommodation: the guilty cull, the dust you learn not to see, the inbox that refills regardless. It's adaptation, not victory.

The question her column leaves hanging is whether AI-era overload ends the same way — with users simply tuning out, and with the quality of what reaches them degrading as the volume climbs. On the evidence of her 7,000-plus inbox, the pattern has already run once. The bet embedded in her piece is that it's running again.