1.8 million people downloaded a new AI assistant in twelve days, and more than 95 percent of them already had a Facebook account. That is not a product finding an audience. That is an audience being handed a product.
In the same week, the man who built the Apple Store said nobody is going to let an agent buy their laptop, while Google and OpenAI spend billions assuming they will. Both positions can hold, because buying splits into two activities that look identical on a dashboard and behave nothing alike.
Underneath that, the doors kept moving. Job boards have waited nine months on a Google approval that Google's own documentation tells them to request. California decided data centres should pay for the grid and water they use, which quietly puts a floor under the price of every AI tool you run. One engineer at Higgsfield now ships a feature in a day.
The front door to your business moved this year and nobody sent a forwarding address. Seven pieces below on where it went.
Build the tool, not this week's deliverable
Find the repetitive setup step that eats a specialist day every week and produces nothing anyone would call work: the report assembly, the brief formatting, the campaign naming convention, the weekly data pull. Then have that specialist, not your technical team, describe the step in plain language to whichever AI tool you already pay for, and ask it for a small reusable tool rather than this week's output. Give it 90 minutes and one real test, and keep it only if it survives contact with next week's version of the same job. Two designers did exactly this before New York Fashion Week and one of them cut a three-day fitting process down to a session at a screen, which is the whole point: the specialist keeps the judgement and hands over the logistics.
Happy Growth,
Dan
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