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Every tech wave has its defining device. The PC. The smartphone. The smartwatch. Now AI hardware is on deck — and OpenAI, Apple, and Meta are all racing to claim the crown.
So here’s the question — who gets there first, and more importantly, who do you think will get their iPhone moment first?
Here's what we have for you today
🤖 OpenAI Taps Apple’s Supply Chain to Build Next-Gen AI Devices
So, apparently OpenAI doesn’t just want you talking to ChatGPT — it wants you literally wearing it.
First came whispers of this mysterious “AI Pin”, and now reports say Sam Altman and design legend Jony Ive are cooking up an entire gadget family.
But here’s the real tea: OpenAI is raiding Apple’s own talent pool and supply chain to make it happen. Which begs the question — are we about to see the iPhone of AI… or another Humane AI Pin disaster?
According to a new report from The Information, OpenAI has been quietly cutting deals with the same companies that assemble your iPhones and AirPods. We’re talking Luxshare (speaker modules), Goertek (AirPods-style assembly) — basically, if it’s inside your Apple device, OpenAI is calling them up.
And the product lineup? Wild. The AI Pin is supposedly just the opening shot. Behind it there’s talk of:
A sleek smart speaker with a display
A voice recorder that could turn every meeting into searchable notes
And yes — the holy grail of wearables — smart glasses. Not sci-fi fantasy goggles, but practical, AI-powered specs designed to replace your phone for everyday tasks.
Now, about Jony Ive’s role: this isn’t some one-off collab. Altman partnered directly with Ive’s new hardware studio, and together they’ve been poaching Apple veterans like it’s Black Friday. Tang Tan, Apple’s former product design lead, is now OpenAI’s chief hardware officer and his pitch? “Less red tape, more fun.” And apparently, it’s working — engineers from the Apple Watch and Siri teams are already jumping ship.
The mission? To create a family of products that could redefine how we interact with AI. In other words: Altman wants OpenAI to have its own “iPhone moment” — the kind of hardware launch that defines a generation.
And the timeline floating around? Late 2026 or early 2027. Which, honestly, gives Apple and Meta just enough time to sweat.
And make no mistake — competition is already heating up.
Meta just dropped new Ray-Ban smart glasses with a display inside one lens plus a Neural Band wrist device for gesture controls.
Apple is working on a smart speaker with a screen and the long-rumored Apple Glasses, potentially hitting in 2027.
If all these launch windows line up, 2026–2027 could be the Hunger Games of AI hardware.
Here’s where it gets interesting: OpenAI doesn’t want to just play catch-up. It wants to make AI devices feel essential — the way the iPhone did back in 2007. Whether it’s a pin, glasses, or some yet-unnamed gadget, the goal is clear: put AI on your body, in your house, and maybe even in your ears.
The big question: will people actually buy into an “AI-first” device, or are we staring down another overpriced gadget graveyard?
Either way, one thing’s certain: Sam Altman and Jony Ive are betting the future of AI on hardware.
So, what do you think? 👉 Are you Team Apple, Team Meta, or Team OpenAI?
Drop your thoughts in the comments — and if you want to geek out further, here’s where to learn more.
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🧱 Around The AI Block
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📱 First look at the Google Home app powered by Gemini.
🛠️ 7 AI tools to build a profitable one-person business that runs while you sleep.
🏭 Huawei announces new AI infrastructure as Nvidia gets locked out of China.
🧑⚖️ Why California’s SB 53 might provide a meaningful check on big AI companies.
🛠️ Trending Tools
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🤖 ChatGPT Prompt Of The Day: Turn A/B Data into Actions
Running an A/B test is only half the battle—what you do with the results is what really drives growth.
The real value comes from turning raw numbers into actionable insights that shape smarter experiments. That’s where this prompt steps in. It helps you cut through the noise, understand whether the results truly matter (statistical significance), and extract lessons you can apply immediately to future tests.
Here’s How to Use This Prompt Effectively
Provide complete test data — include impressions, clicks, conversions, revenue (if applicable), and the exact time window for variants A and B.
Supply context — describe the experiment (what copy/creative/CTA changed), the traffic source, sample size expectations, and the primary metric (CTR, CR, revenue per visitor, etc.).
Specify output format — Do you want a formal report, a bulleted list of insights, or a plain-language breakdown for non-technical teammates? Tell the AI upfront.
Look beyond “who won” — Ask for deeper patterns—why one version worked better, whether sample size was big enough, and what this means for customer behavior.
Iterate — after the analysis, feed back any additional data or constraints and request refined recommendations.
💡Prompt to Apply:
I’m [mention the problem you’re facing in detail with background context]. Act as a data analyst specializing in A/B testing. I will give you test results in this format: [insert sample data, e.g., impressions, clicks, conversions for A vs. B].
Your tasks are:
1. Analyze the results and determine whether the difference is statistically significant.
2. Explain which variation is better and why.
3. Highlight behavioral insights revealed by the data.
4. Provide 3 actionable recommendations for the next round of testing based on these insights.
Format the output as:
1. Quick Summary (plain-language takeaway)
2. Detailed Analysis (math/statistics + behavioral reasoning)
3. Actionable Recommendations (concrete next steps)
Keep the explanation clear, visual if possible (tables, percentages), and aligned with the goal of making smarter test decisions.Upgrade now to see this whole month’s prompt videos and more, or buy TODAY’S WOD for just $1.99
Is this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
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