ARM is gearing up for a generational run

How one chip company positioned itself to win the entire AI revolution

No, we are not going to talk about why paying your mortgage early is a dumb or smart decision. That discussion can stay on X, where both sides will continue arguing in circles with great points on each side.

Instead, let's talk about something far more interesting: a company that's quietly positioning itself to power every AI device you'll use for the next decade—from the phone in your pocket to the data centers running ChatGPT.

While everyone's been debating personal finance strategies, Arm Holdings $ARM ( ▲ 2.23% ) has been building the infrastructure for a generational technology shift. And the chart below suggests the market is just starting to notice.

Arm's AI-Everywhere Vision

Arm has positioned itself at the epicenter of the AI revolution by being the only compute architecture that spans the entire spectrum of AI deployment—from milliwatt-powered edge devices to megawatt-scale hyperscale data centers.

This unique positioning is Arm's defining competitive advantage and what CEO Rene Haas calls the platform "powering AI workloads everywhere."

So far, Arm is making progress on turning that vision into reality, as we can see in their investor slide below.

Dominance in the Data Center

The company's Neoverse architecture now powers custom silicon from every major hyperscaler, including NVIDIA Grace, AWS Graviton, Google Axion, and Microsoft Cobalt. The momentum is staggering—over 7,000 enterprises now run AI workloads on Arm Neoverse chips, representing a fourteen-fold surge since just four years ago.

Arm Neoverse CPUs are expected to capture nearly half the market share of chips shipped to top hyperscalers this year, handling both general-purpose workloads and AI training and inference tasks.

Complementary, Not Competitive

The fact that Google—despite developing its own specialized TPU accelerators for AI workloads—chose Arm's architecture for its Axion general-purpose CPUs demonstrates something crucial: TPUs and Arm CPUs serve complementary rather than competitive roles, with Google using Arm for general-purpose compute while TPUs handle specialized AI acceleration Data Center Dynamics.

This symbiotic relationship extends across the industry, with hyperscalers deploying Arm-based systems alongside their specialized accelerators rather than replacing them.

“Run general-purpose workloads on Google Axion Processors for exceptional performance, energy-efficiency and advanced capabilities.” - Google

The Developer Ecosystem Moat

Arm's first line of defense is its unmatched developer ecosystem. With over twenty-two million developers—representing more than 80% of the global total—the company has created an insurmountable network effect.

More developers mean more software availability, which drives more hardware demand, which attracts more developers. This flywheel is perhaps Arm's most powerful competitive advantage and one that grows stronger with time.

Accelerating Innovation with Compute Subsystems

Arm is revolutionizing how quickly chips can reach market through its Compute Subsystems strategy. CSS bundles complete, pre-integrated IP blocks that dramatically reduce design complexity and time-to-market for chipmakers.

The company has already signed sixteen CSS licenses across ten companies—more than doubling in just a year. Major products already shipping include Xiaomi's XRING O1 and Samsung's Galaxy Flip 7, demonstrating that CSS isn't just a concept but a proven platform driving real products to market.

Also, according to Arm’s Q1’26 investor presentation slide (below), Arm gets substantially higher royalty revenue per chip when a client builds a chip through CSS. This service will get more popular as tech companies rely more on the speed at which they develop and release new products to maintain their competitiveness.

Automotive: The Next Frontier

The newly announced Zena CSS for automotive represents a massive opportunity. Purpose-built for software-defined vehicles and AI-driven workloads like autonomous driving, Zena enables automakers to launch new vehicle models at least one year faster than traditional timelines.

Nearly every global OEM—including Tesla, Rivian, NIO, Mercedes-Benz, Honda, and Geely—already uses Arm technology. With the first Zena design win secured and active engagement with more than a third of global OEMs, Arm is positioning itself as the backbone of the next generation of intelligent vehicles.

AI at the Edge

While data center deployments grab headlines, Arm's edge AI capabilities are equally impressive. The latest Ethos-U85 NPU delivers 4X to 8X performance improvements and 20% greater energy efficiency over previous generations.

The Immortalis GPU provides the parallel compute power needed for advanced on-device AI, including image processing, video workloads, and content generation. A major smartphone OEM has already committed to Arm's GPU platform through 2030, ensuring the company's presence in multiple generations of flagship devices.

Built-In AI Acceleration

Arm's Armv9 architecture integrates AI-specific acceleration features like Scalable Matrix Extension directly into CPUs, boosting the performance of language models and real-time assistants while minimizing power and latency overhead.

Technology leaders including Apple, Samsung, and MediaTek are all integrating these capabilities. Apple is powering Apple Intelligence with Arm technology, while Samsung and MediaTek are improving real-time AI applications like translation, summarization, and personal assistants.

Google has demonstrated its Gemma language model running six times faster with significantly reduced cloud dependence—all powered by Arm.

Source

Let’s also not forget that as more firms start designing their chips with Armv9, they’re going to pay higher royalties per chip. This relationship applies to all previous Arm architecture versions. With the accelerating adoption of Arm’s latest chip architecture and growing demand for the most advanced chips in general, Arm will be a big tailwind in revenue growth.

The Path Forward

Arm's future looks exceptionally bright because it has become indispensable infrastructure for the AI era.

The company isn't choosing between edge or cloud, smartphones or data centers—it's winning everywhere simultaneously. By continuing to invest in CSS, developer tools, and AI-specific acceleration, Arm is building a platform that chipmakers must license to remain competitive across every computing segment.

The AI revolution is just beginning, and Arm has architected itself to be the foundation upon which it's built.

To summarize the bull case for Arm Holdings, look at this investor presentation slide below.

Disclosure

About Me
I am an independent personal finance writer and blogger. I do not have any formal training or certifications in finance, but I have a deep passion for the subject and have been researching and writing about personal finance topics for several years.
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