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News of the day
1. Apple's AI strategy was underestimated. High demand for Mac Minis to run AI agents locally shows the strength of their integrated hardware and ecosystem. → Read more
2. Google overhauls Stitch, introducing 'vibe design' with voice editing and instant prototyping to simplify UI creation. → Read more
3. DoorDash's new 'Tasks' app pays couriers to film everyday activities and record languages, providing crucial data for AI and robotic systems training. → Read more
4. An out-of-control AI agent triggered a serious security incident at Meta, highlighting the need for robust AI safety protocols and continuous monitoring. → Read more
Our take
Hi Dotikers!
Yesterday, we talked about OpenClaw and Nvidia, about that open-source lobster that became, almost against its will, the symbol of a new agent economy. Jensen Huang even called it "the new computer." What he didn't specify is what hardware that new computer is currently running on: a Mac Mini.
That's precisely the starting point of Azeem Azhar's latest Exponential View edition, titled "Why I changed my mind about Apple." The author openly admits he was wrong about Apple. Like many observers, he had filed the company among AI's laggards: no major in-house models, modest infrastructure spending, a Siri everyone rushes to turn off. The kind of company watching the train leave from the platform.
Except Apple isn't playing that game. It's playing its own.
What the Mac Mini shortage revealed isn't an anecdotal trend among early adopters hungry for new toys. It's the expression of a structural logic: data center inference capacity is saturated, wait times are growing, costs are climbing. In that context, Apple Silicon's unified memory becomes a genuine advantage for running models locally, without routing through a third-party cloud. Delivery times for the 64GB Mac Mini slipped from three days to seven or eight weeks. Best Buy shelves emptied out. Tim Cook announced the Mac Mini would now be produced in the United States, such has demand reshaped the picture.
Azhar's argument goes beyond hardware. Apple controls the chip, the OS, the App Store, and the privacy architecture. It holds a level of consumer trust that neither OpenAI, nor Google, nor Anthropic has built over two decades of daily physical presence. Every third-party model arriving on iPhone or Mac passes through a layer Apple controls. It doesn't need to be the world's best AI lab to capture value: it only needs to be unavoidable.
When the practical capability ceiling for everyday tasks is reached, the real question will no longer be "which model" but "on whose device." Apple may have answered that question twenty years ago without knowing it.
G.
88% resolved. 22% stayed loyal. What went wrong?
That's the AI paradox hiding in your CX stack. Tickets close. Customers leave. And most teams don't see it coming because they're measuring the wrong things.
Efficiency metrics look great on paper. Handle time down. Containment rate up. But customer loyalty? That's a different story — and it's one your current dashboards probably aren't telling you.
Gladly's 2026 Customer Expectations Report surveyed thousands of real consumers to find out exactly where AI-powered service breaks trust, and what separates the platforms that drive retention from the ones that quietly erode it.
If you're architecting the CX stack, this is the data you need to build it right. Not just fast. Not just cheap. Built to last.
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