Arm CEO René Haas confirmed at Computex that ByteDance and Oracle have joined Meta as customers for Arm’s own data-centre CPU, validating the company’s shift from licensor to silicon vendor.

Arm chief executive René Haas confirmed at Computex on Monday that ByteDance and Oracle are among the customers using AGI, Arm’s first in-house data-centre CPU, joining Meta as the third and fourth named adopters of a chip that the Cambridge-based company is positioning as the structural alternative to Intel’s Xeon and AMD’s EPYC server lines.

The strategic shift the customer announcement validates is the harder of the two parts of the story. Arm spent the past three decades licensing CPU IP to chipmakers who then designed and sold their own silicon, AWS’s Graviton, Microsoft’s Cobalt, Google’s Axion, Nvidia’s Grace and now Vera.

AGI represents the company’s decision to design and sell finished silicon directly. The customers Arm is now announcing for that finished chip are not its existing licensees; they are the same hyperscaler and enterprise-cloud buyers its licensees would themselves have hoped to sell to.

The Arm-AGI launch is therefore as much a vertical-integration play against its own customer base as it is a horizontal-integration play against Intel and AMD.

The customer roster tells the story. Meta was the first publicly named AGI customer, announced at the AGI launch event in San Francisco in March. ByteDance is the largest Chinese AI workload customer, which is significant given the company’s parallel custom-CPU programme on Arm and RISC-V tracks reported last week.

Oracle is the enterprise-cloud workhorse that pairs Arm-based servers with its database product line for customer deployments. The composition is meaningful: one US frontier-AI lab, one Chinese hyperscaler, one US enterprise-cloud provider. Arm has, on three named customers, demonstrated that AGI is being adopted across the three most strategically distinct categories of data-centre buyer.

The financial-projection backdrop matters. Haas said at the AGI launch that sales of the chip alone would bring in $15bn to Arm by 2031. The chip is co-designed with Meta and built on a chiplet design using TSMC’s 3nm N3P process, the same node Nvidia uses for Rubin.

The $15bn projection is, on the most aggressive read, a doubling of Arm’s current annual revenue base if achieved. The Monday customer announcement is the most concrete validation yet that the projection is supportable.

The structural read on the broader CPU market is the editorial point worth surfacing. Nvidia’s Vera CPU launched yesterday with OpenAI, Anthropic and SpaceX as named customers.

Snowflake’s $6bn AWS Graviton commitment last week added a major enterprise-data-platform customer to the Arm-server-side ledger. ByteDance is building its own custom Arm-and-RISC-V CPUs in parallel. Arm itself is now selling AGI to Meta, ByteDance and Oracle.

Every named major AI-data-centre customer on the public record is now committed to Arm-based silicon in at least one tier of their compute stack, either as a direct purchase, a hyperscaler-built custom design, or a co-developed product. The x86 incumbents have, on the available evidence, lost the hyperscaler-CPU war in the four weeks since Computex 2026 began.

The implication for Intel and AMD is severe. Both companies have historically derived the majority of their server-CPU revenue from hyperscaler purchases, and the hyperscaler portion of the data-centre CPU market is structurally the highest-margin tier. The current public commitments to Arm silicon, in aggregate, materially compress that segment of the x86 incumbents’ addressable market.

The compression is not yet visible in Intel’s and AMD’s reported revenue because hyperscaler purchasing happens on multi-year cycles, but the trajectory through 2028 is now clear.

The harder question for Arm is whether selling finished silicon to its existing licensees’ customers will compress its core IP-licensing revenue line.

The hyperscalers that previously paid Arm royalties through their own custom CPUs (Graviton, Cobalt, Axion) may now have less reason to maintain those programmes if Arm’s in-house AGI design covers the same workloads at comparable price-performance. The vertical-integration play, in other words, is its own competitive risk.

Arm shares were modestly higher in pre-market trading on the announcement. The AGI chip is shipping now to all three named customers.

The AI PC race has mostly been about squeezing more neural processing power into thinner laptops. Asus is taking a different route. Its latest ProArt P16 and ProArt P14 creator laptops are built around Nvidia’s new RTX Spark platform, a chip package that sounds like something you’d expect to find inside a workstation. And that’s exactly the point.

The new ProArt machines are targeting creators, developers, and power users who increasingly want desktop-class AI performance without being tethered to a desk.

A creator laptop that thinks like a workstation

The biggest story here isn’t the laptops themselves. It’s the hardware inside them. NVIDIA’s RTX Spark platform combines an RTX GPU based on the Blackwell architecture with a 20-core Grace CPU, creating a package designed to handle AI workloads that would typically require a much larger machine. Asus claims users can work with enormous 3D scenes, edit ultra-high-resolution video, generate AI content locally, and even run massive language models without relying on cloud servers.

That matters because AI workflows are quickly becoming part of everyday creative work. Whether you’re generating concept art, cleaning up footage, creating visual effects, or experimenting with local AI assistants, performance is becoming just as important as battery life. The promise here is simple: fewer compromises between portability and raw compute power.

Thin, light, and surprisingly ambitious

Despite the workstation-like ambitions, Asus says both laptops are slimmer and lighter than the previous-generation ProArt models. That’s a notable achievement considering the amount of hardware packed inside. The displays are equally impressive on paper. The larger ProArt P16 features an OLED panel with a high refresh rate and variable refresh rate support, while the P14 focuses on delivering sharp visuals in a more compact form factor. Both are aimed squarely at photographers, video editors, designers, and anyone who spends their day staring at timelines and color palettes.

Asus is also leaning heavily into its broader creative ecosystem. Tools like Creator Hub, MuseTree, and StoryCube are designed to simplify AI-assisted workflows, while partnerships with popular creative software makers should help these machines feel useful from day one rather than serving as expensive tech demos. The challenge, of course, is convincing creators that they need this much AI horsepower in a laptop. But as generative AI tools continue to become part of mainstream creative software, that argument gets easier every month. For now, the new ProArt P16 and P14 look like Asus’ most ambitious creator laptops yet — thin enough to carry anywhere, but powerful enough to make many desktop PCs feel a little nervous.