Making The Internet Better for AI Agents Might Make It Worse For Everyone Else

Today the news that matters is about Making The Internet Better for AI Agents Might Make It Worse For Everyone Else. The reporting puts it plainly: This story originally appeared in The Algorithm, our weekly newsletter on AI.

What the details show

But this is being entirely upended by the release of personal AI agents, which can do things for you online, like booking flights or hotel rooms. Muse was downloaded 5 million times in its first month, and agentic web traffic tripled from August to September.  The mingling of these agents with human visitors, on an internet designed largely to prioritize people, has gone poorly, with many websites bl Still, if the demand for agents keeps going up, the internet will be increasi Until recently, you could divide internet users into just two categories: bots and people.

Reading between the lines: Until recently, you could divide internet users into just two categories: bots and people.

Bottom line for this section: stay informed, adjust what is cheap to adjust, and skip the rest.

The numbers behind it

Look closer at The numbers behind it and a clearer picture emerges. The change is less about hype and more about workflow: what teams do daily, what tools they reach for, and how success gets measured. Teams that adjust early tend to keep their advantage.

Worth a second read: the signal here is direction, not the headline number. If the pattern holds for Making The Internet Better for AI Agents Might Make It Worse For Everyone Else, expect the measurable side to show up within weeks, and the quieter cost side to compound at scale.

The honest note here: small adjustments compound, dramatic overhauls usually stall.

Small signals with big consequences

Still, if the demand for agents keeps going up, the internet will be increasi Until recently, you could divide internet users into just two categories: bots and people. Muse was downloaded 5 million times in its first month, and agentic web traffic tripled from August to September.  The mingling of these agents with human visitors, on an internet designed largely to prioritize people, has gone poorly, with many websites bl

Reading between the lines: Muse was downloaded 5 million times in its first month, and agentic web traffic tripled from August to September.  The mingling of these agents with human visitors, on an internet designed largely to prioritize people, has gone poorly, with many websites bl

What this section comes down to: pick the change that costs the least, measure it, keep or drop it.

What you can do this week

Pick one small change and measure it for seven days. Write down the decision you made and why. Review it honestly next week. That cycle sounds almost too simple, yet it beats every grand strategy that never gets executed. The expensive mistake is not picking the wrong direction; it is never starting.

The honest caveats

Nothing here is magic. Results depend on scale, discipline, and how messy your current setup is. Treat every claim, including ours, as a starting hypothesis to verify on your own data.

Worth remembering

Making The Internet Better for AI Agents Might Make It Worse For Everyone Else will age like any news story, but the habit it points at does not: verify, test, measure, adjust. That cycle outlasts any single headline.

What the reporting actually says

They have recently been unleashed at scale by the launch of apps like OpenAI’s Dots and Meta’s Muse. Muse was downloaded 5 million times in its first month, and agentic web traffic tripled from August to September.  The mingling of these agents with human visitors, on an internet designed largely to prioritize people, has gone poorly, with many websites blocking AI agents that consumers have sen

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The web, after all, is designed primarily for people, even if we occasionally have to solve puzzles and captchas to prove we are not bots.

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Websites have long allowed bots to perform automated tasks, like capturing the content of web pages, but rules govern what they can access and how they behave.

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Until recently, you could divide internet users into just two categories: bots and people.

This white paper explains how edge AI and physical AI help cities move beyond passive monitoring.

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