The Year AI Leaves the Text Box

Jensen Huang declared physical AI’s ChatGPT moment at CES 2026. Apple, OpenAI, Meta, and a wave of robotics startups are now racing to build the products. Almost nobody knows how to design for them — and the body count from the first wave is already growing.

By Arpy Dragffy · Founder, PH1 Research · Co-host, Product Impact Podcast April 9, 2026

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The single most consequential announcement at CES 2026 wasn’t a product. It was a label.

When NVIDIA CEO Jensen Huang took the keynote stage in Las Vegas in January, he told the audience: “The ChatGPT moment for physical AI is here — when machines begin to understand, reason and act in the real world.”

Within 60 days, every major technology company had aligned around the same framing. Sam Altman confirmed in Davos that OpenAI’s first hardware device, designed in partnership with Jony Ive, would ship in the second half of 2026. Bloomberg reported on February 17 that Apple is “ramping up work on glasses, a pendant, and camera AirPods for the AI era,” confirming three simultaneous wearable categories that Tim Cook has personally championed. Mark Zuckerberg told TechCrunch on January 28 that “a future without smart glasses is hard to imagine,” and Meta is now in talks with EssilorLuxottica to double Ray-Ban smart glasses production to 20 million units by the end of 2026 — potentially climbing to 30 million if demand holds.

Three years after the AI revolution began inside a text box, 2026 is the year it leaves the text box. The most-funded category in tech is now the race to put AI inside an object you can wear, carry, or live with.

There is just one problem. The first wave of physical AI products has already mostly failed — and the people who actually know how to build successful consumer hardware are quietly warning that the second wave is on track to fail in the same ways.

What the leaders are saying

The unusual feature of this moment is that the heads of every company racing into physical AI are publicly aligned on what’s happening. The disagreement is on what to do about it.

Jensen Huang, NVIDIA CEO, framed it at CES 2026 as a category-defining inflection. “Breakthroughs in physical AI — models that understand the real world, reason, and plan actions — are unlocking entirely new applications,” he said. NVIDIA’s bet is the picks-and-shovels position: it doesn’t intend to build the robots or the wearables, it intends to own the compute and the foundation models that everyone else builds on top of. NVIDIA’s CES announcements included the Cosmos physical AI simulation framework, the Alpamayo automotive reasoning model, and the Rubin chip platform shipping to partners in the second half of 2026.

Sam Altman, OpenAI CEO, has been more guarded. According to leaked internal conversations reported by TechCrunch, Altman told staff that OpenAI plans to ship 100 million devices “faster than any company has ever shipped 100 million of something new before.” Publicly, he has been more measured. In November he described the device as something that should feel “more peaceful and calm” than a smartphone. About an earlier prototype, he told reporters: “There was an earlier prototype that we were quite excited about, but I did not have any feeling of: ‘I want to pick up that thing and take a bite out of it.’”

The OpenAI device, originally branded “io” through the $6.4 billion acquisition of Jony Ive’s design firm, has now been delayed beyond 2026 due to privacy, compute, and “personality” issues, according to Windows Central reporting on Altman’s most recent comments. “Do not expect anything very soon,” Altman reportedly said. The brand also had to be changed because of a trademark dispute with hearing-aid startup iYo.

Mark Zuckerberg, Meta CEO, has been the most aggressive in his framing. He told TechCrunch on January 28 that he believes smart glasses will be ubiquitous within the decade. “It’s hard to imagine a world in several years where most glasses that people wear aren’t AI glasses,” he said. Meta’s Ray-Ban Display launched in late 2025 at $799, bundled with a Meta Neural Band — an EMG wristband that translates muscle signals into commands. The glasses are being rolled out across France, Italy, Canada, and the UK in early 2026. Meta has reported that smart glasses sales tripled in 2025, with more than seven million pairs sold.

Tim Cook, Apple CEO, has been the quietest in public — but Bloomberg’s reporting describes the AI pendant, the camera-equipped AirPods, and Apple Glass as “Tim Cook’s top priority products.” 9to5Mac reported in late 2025 that Cook is personally driving the program as Apple’s third major product category after the iPhone and the Apple Watch. Apple Glass is targeting late 2026 unveiling with shipping in 2027, according to Bloomberg’s sources, and will not initially include AR functionality — instead positioning itself as an iPhone accessory anchored on Apple’s Visual Intelligence system.

Four CEOs. Four different bets. One agreement: the next decade of AI value lives outside the chat interface.

What’s actually shipping (and when)

The product roadmap for the next 18 months, drawn from publicly-announced timelines and verified reporting:

Already shipping or imminent: - Meta Ray-Ban Display — $799 AI glasses with full-color display and EMG wristband, available now in the US, expanding to Europe and Canada in early 2026 - NVIDIA Rubin platform — physical AI compute infrastructure, shipping to NVIDIA partners in the second half of 2026 - Figure 03 humanoid robot — designed for high-volume manufacturing, introduced late 2025 (Figure AI has raised over $1 billion to date) - Apptronik Apollo humanoid robot — Apptronik raised $520 million in February 2026 at a $5 billion valuation, with explicit ambitions to beat Tesla Optimus to market

Expected H2 2026 (per public statements): - OpenAI’s first device — originally “io,” now under a new name pending trademark resolution; a screen-free, possibly behind-the-ear wearable codenamed “Sweetpea”; recently delayed and may not actually ship until 2027 - Apple Glass — late 2026 unveiling, 2027 shipping per Bloomberg sources - Apple AI Pendant — pinned-to-shirt or worn-as-necklace form factor, late 2026 development push per Bloomberg

Expected 2027 or later: - Camera-equipped AirPods — late 2026 to 2027 per Bloomberg - Tesla Optimus Gen 3 — Elon Musk has set 2026 as the year Optimus moves to higher-volume external sales, with a target price of $20,000 to $30,000 per unit; production has been delayed multiple times

Already dead or absorbed: - Humane AI Pin — HP acquired the assets for $116 million in February 2025 after Humane burned through more than $230 million in venture capital - Limitless Pin — Meta acquired Limitless in December 2025 and immediately stopped selling the Pendant to new customers - Rabbit R1 — by early 2026, reports of unpaid employee salaries and a 1.5/5 Android Authority rating suggest the company’s runway is running out

That’s the most-funded, most-hyped, most-public hardware race in technology since the smartphone era. The first wave is mostly already in the graveyard. The second wave is being designed right now.

The warning from the man who hired Jony Ive

The most useful analysis of why the first wave failed — and the most credible warning about the second — came not from a tech executive but from the designer who built the playbook the entire industry is now trying to apply.

Robert Brunner founded Apple’s Industrial Design Group in 1989. He hired Jony Ive (three times, before Ive said yes). He led the design of the original PowerBook, whose layout has remained the universal laptop configuration for 35 years. After Apple, he founded Ammunition, the studio that designed Beats by Dre, the Square Stand, the June Oven, the Polaroid Cube, the Lyft Amp — and the Limitless Pin that Meta just acquired. He is now building a startup called Object focused specifically on what physical AI should feel like when it’s designed to respect users instead of extract from them.

Brunner joined the Product Impact Podcast in early April, and his diagnosis of the category should be required reading for every founder racing to ship before OpenAI does.

“Modern technology is optimized for engagement, advertising, data extraction, time. In many ways, technology is, it’s like the matrix. It’s treating us as a source, as a resource. For information and not human well-being. And that’s one of the fundamental problems with digital technology. It’s been built around humans as a resource to be monetized. And I think we’re all sick of it.”

— Robert Brunner, Product Impact Podcast S02E06

Brunner’s argument: the AI hardware race is repeating the mistake of the consumer software industry, but with a more dangerous payload. The vendors are betting that putting intelligence inside a wearable will produce a new category of product. Brunner is betting that without a fundamentally different relationship with the user, the form factor doesn’t matter.

His test for whether AI in a product is genuine or marketing:

“Does AI remove steps? Will the product require fewer actions to accomplish something meaningful — or more? If it adds menus and features and prompts and dashboards and all that stuff, it’s probably not good and it may just be marketing. But if AI quietly removes complexity and lets you do something faster, better, it’s real.”

“The best AI feature is the one you never notice. The problem simply disappears.”

Compare this to what shipped with Humane’s AI Pin: a laser projector beaming a menu onto your palm, a wake-word interaction model, a visible badge on your chest. The product made the AI as visible as possible. By Brunner’s standard, the design itself was the failure.

And on the trust question that nobody in the industry is solving:

“The most valuable currency in technology is rightfully becoming trust. The next great technology companies will be the ones people trust with their lives, not just their data.”

Brunner is unusual because he is willing to talk about his own studio’s failures. On the Limitless Pin specifically — the product Meta just bought and pulled from sale — he was direct: the form factor was right, the attachment system was right, the AI worked. The fundamental issue, in his words, was that “nobody wants to be recorded.”

The implication for every wearable currently in development at OpenAI, Apple, Meta, and the dozens of startups racing to ship: the design is not the moat, the model is not the moat, the form factor is not the moat. The moat is whether your customer is willing to put your device on their body in 2027.

What to watch in the next 90 days

Three things will determine whether the second wave of physical AI is a category breakthrough or a more expensive repeat of the first.

OpenAI’s launch timeline. Altman’s reported “do not expect anything very soon” walks back the H2 2026 ship date Lehane gave at Davos. Whether OpenAI ships in 2026 or slips to 2027 will signal whether the company has solved the fundamental design problems Brunner identified — privacy, “personality,” trust — or simply pushed them down the road.

Apple’s reveal. The Apple Glass unveiling, expected late in 2026, will be the moment Apple’s bet on Visual Intelligence becomes real. Apple has the credibility and the supply chain to ship at scale. Whether the first product ships with cameras-on by default, and how Apple frames the privacy posture, will set the standard the rest of the category has to match.

Meta’s production volumes. If Meta hits the 20 million Ray-Ban units it’s targeting for 2026, the smart-glasses category will have already won the volume war before OpenAI or Apple ship anything. If Meta misses, the entire premise that wearables are a mass-market AI category gets called into question.

The thing every CEO has stopped saying out loud, but every product team should be discussing: the first wave failed not because of bad models, bad chips, or bad form factors. It failed because users decided, individually, day by day, that they did not trust the device enough to live with it.

Brunner’s line is the one to leave with:

“AI doesn’t feel. AI has never been hurt. AI has never felt joy. AI has never been through these experiences that shape you and define you. And those are the things that become these incredible assets — taste, insight, and judgment.”

The companies that build the trillion-dollar physical AI market of 2030 will be the ones that figure out how to put taste, insight, and judgment into the design — not just the model.

The body count of the first wave suggests that may take longer than the keynote slides imply.

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Listen to the full Brunner interview: Product Impact Podcast S02E06 — Robert Brunner on Physical AI

About the author: Arpy Dragffy is founder of PH1 Research and co-host of the Product Impact Podcast.

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Sources used in this analysis (all linked inline above):

• Jensen Huang CES 2026 keynote — Axios, January 5, 2026
• Sam Altman device timeline — Axios, January 19, 2026; TechCrunch, January 21, 2026
• OpenAI device delay — Windows Central, recent
• Apple AI hardware roadmap — Bloomberg, February 17, 2026
• Tim Cook’s “top priority” framing — 9to5Mac, December 22, 2025
• Mark Zuckerberg on smart glasses — TechCrunch, January 28, 2026
• Meta Ray-Ban Display launch — Meta blog, September 2025
• Meta production volume targets — Fintool News, recent
• Humane AI Pin acquisition — TechRadar, February 2025
• Meta acquires Limitless — TechCrunch, December 5, 2025
• Apptronik funding — CNBC, February 11, 2026
• Robert Brunner background — Wikipedia; Ammunition Group
• Robert Brunner quotes — Product Impact Podcast S02E06, April 2026 (primary source)