Nicole Jeffrey
There is a delicious irony at the heart of the artificial intelligence revolution: The more tools we invent to save ourselves time, the more time we seem to spend looking for them.
Almost every morning brings the arrival of another AI agent promising to transform the way we work. One manages our emails. Another organizes meetings. A third conducts research. A fourth builds websites. And a fifth promises to do all of the above, provided we grant it the necessary permissions.
Just as we begin to understand what these tools can do, a sixth arrives to tell us the previous five are already obsolete.
We have found ourselves caught in a peculiar race. Instead of simply using technology to get things done, we increasingly spend our days searching for the technology that might get those things done for us.
We read comparisons, watch demonstrations, test subscriptions and migrate between platforms. We configure settings, refine prompts, connect applications and learn unfamiliar interfaces. Then, just as a new system begins to feel comfortable, something supposedly faster, smarter or cheaper appears.
And the cycle begins again.
The problem is not that we have too many choices. It is that choosing has become an activity we mistake for productivity.
We feel a small sense of accomplishment when we discover a sophisticated new agent, even if we have spent two hours setting it up to save ten minutes of actual work.
More troubling still, the very tools designed to eliminate repetitive tasks are generating an entirely new category of work: supervising their performance, correcting their mistakes, checking their output, following their updates and continually evaluating their replacements.
Without quite noticing, we have gone from being users of technology to recruitment managers overseeing an endlessly expanding workforce of digital employees.
And we are remarkably impatient employers.
No sooner have we learned how to work effectively with one agent than we begin considering whether to replace it.
None of this diminishes the extraordinary potential of artificial intelligence. Some agents genuinely eliminate hours of tedious work, automate complicated processes and make capabilities once reserved for specialists accessible to almost anyone.
But technological progress and personal productivity are not necessarily the same thing.
The value of an AI tool should not be measured by how impressive its demonstration looks, how many features it offers or how enthusiastically it is promoted. It should be measured by a much simpler standard: Does it actually give us more time to do what matters?
Perhaps we need to stop asking which new AI agent launched today and start asking whether we need another one at all.
There is no particular virtue in having the latest tools, just as there is no inherent disadvantage in continuing to use something that works.
An agent whose strengths and limitations we understand may be infinitely more useful than ten sophisticated alternatives we have barely begun to explore.
What we need, perhaps, is a little digital stability: fewer tools, more familiarity and enough patience to let technology become part of a productive routine rather than another distraction from it.
After all, the hours reclaimed through artificial intelligence should be spent thinking, creating, making decisions and living — not endlessly searching for the next piece of artificial intelligence.
AI agents were supposed to work for us. Somehow, we have ended up working for them — selecting them, training them, monitoring them and replacing them.
And perhaps the smartest technological decision we can make today is not to hire another digital assistant.
It is to stop looking for one.