Ep. 178 | The Company That Designed Every Phone Chip Is Now Building Its Own

Arm Holdings unveiled the AGI CPU, a server-class AI and data-center processor that Arm will design and sell directly — a fundamental departure from its thirty-year business model of licensing chip designs to manufacturers while collecting royalties. Arm also announced plans to grow chip revenue to $15 billion annually within five years, targeting $25 billion total revenue and $9 EPS by fiscal year 2031.

Michael and Frank break down why this matters for small business owners. Arm has been the Switzerland of the semiconductor industry — designing the instruction sets that power virtually every smartphone without ever manufacturing chips itself. Now Arm wants to be a chip seller too, directly competing with some of its largest licensing customers including Amazon (Graviton), Google (Axion), and Microsoft (Cobalt).

They deliver a three-part framework: understand that the semiconductor supply chain is reorganizing around AI and the era of pure ecosystem players is ending; expect AI compute costs to be volatile in the medium term as new hardware entrants create transition uncertainty; and watch hardware market concentration because more competition among chip providers ultimately benefits buyers through better pricing and supply diversity.

Topics: Arm Holdings · AGI CPU · AI Chips · Semiconductor Strategy · Data Center AI · Chip Licensing · Royalty Economics · Cloud Computing · AI Infrastructure · Market Concentration · Small Business Technology Costs

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Frequently Asked Questions

What is Arm Holdings and why is its business model changing?
Arm Holdings has spent thirty years as the Switzerland of the chip world, licensing CPU core designs to manufacturers like Qualcomm, Apple, and Samsung while collecting royalties on every chip shipped. The AGI CPU represents Arm's first direct entry into chip sales, adding a third monetization layer alongside IP licensing and compute subsystems. The change is driven by the massive revenue opportunity in data-center AI chips, which generate dollars per unit in royalties rather than cents per mobile chip.

How does Arm selling chips affect small businesses?
Most small businesses do not buy server chips directly. But chip economics drive cloud pricing, device costs, and AI accessibility. If Arm captures more of the AI chip value chain, AI infrastructure costs may shift. If Arm's licensing relationships with existing customers fray, the standardization that makes software portable across devices may fragment. More competition among chip providers is generally good for buyers long-term, but transitions create uncertainty.

Why is Arm entering the chip market now?
The AI data-center chip market is large enough that Arm believes capturing even a small share as a direct seller exceeds the risk of damaging licensing relationships. Data-center AI workloads generate royalty rates of several dollars per chip compared to cents for mobile devices. Arm's AI-optimized IP licensing revenue grew 29 percent year-over-year, and the company sees a $100 billion-plus total addressable market when including inference and agentic AI workloads.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.

Transcript

SPEAKER_00 0:20

I'm Michael, a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. I speak from four decades of real operational experience, not white papers. This is Control AI Profit. And this week, the company that designs the blueprints for every phone chip in the world announced it is building its own chips.

SPEAKER_01 0:45

ARM Holdings unveiled its AGI CPU, a server-class AI and data center processor that ARM will design and sell directly. A fundamental departure from its historic business model of licensing chip designs to other manufacturers while collecting royalties. ARM also announced plans to grow its chip revenue to $15 billion annually within five years, targeting $25 billion total revenue and $9 earnings per share by fiscal year 2031.

SPEAKER_00 1:15

This requires context to understand why it matters. For 30 years, ARM was the Switzerland of the chip world. It designed the instruction sets and core blueprints that power virtually every smartphone on the planet, plus billions of embedded devices. It did not sell chips, it sold the recipe. Qualcomm, Apple, Samsung, MediaTech. They all licensed ARM's designs, built their own chips, and paid ARM a royalty on each one sold.

SPEAKER_01 1:46

That model was extremely profitable, low capital expenditure, high margins, broad ecosystem. ARM was an architectural toll booth. Every ARM-based chip shipped generated a few cents to a few dollars in royalty revenue. The company collected across the entire semiconductor industry without ever building a factory or managing supply chains.

SPEAKER_00 2:06

But AI changed the economics. Data center AI chips generate far higher revenue per unit than smartphones. ARM V9, the current architecture, includes native AI acceleration and vector extensions that support transformer models and AI inference. ARM can now charge several dollars per chip in royalties on AI and data center workloads compared to sense on mobile devices. Licensing revenue from AI optimized IP grew 29% year over year to $819 million in a recent quarter. Royalty revenue grew 11% to $672 million.

SPEAKER_01 2:45

The AGI CPU represents ARM's third monetization layer. First, traditional IP licensing with higher value AI extensions. Second, compute subsystems, pre-integrated bundles of CPU cores, memory controllers, and interconnects that command two to three times the royalty rates of basic IP licenses. Third, direct chip sales through the AGI CPU, where ARM keeps the full chip margin instead of just royalties.

SPEAKER_00 3:14

This last layer is the one that changes the competitive landscape. When a company that has spent three decades as a neutral design licensor starts selling its own chips, its customers become its competitors. Nvidia, Qualcomm, Amazon, Google, all of them have built businesses around ARM license designs. Now, ARM wants a piece of that market directly.

SPEAKER_01 3:36

ARM management insists the silicon business is complementary, not cannibalistic. They emphasize that the AGI CPU targets a specific segment, cloud and AI data center operators, while preserving licensing relationships with existing customers. But the strategic tension is real. A licensor that competes with its licensees creates conflicts that did not exist before.

SPEAKER_00 4:00

For small business owners, the direct impact of ARM building chips is minimal. You are not buying server CPUs. But the indirect impact matters because chip economics drive cloud pricing, device costs, and AI accessibility. If ARM captures more of the AI chip value chain, the total cost of AI infrastructure may shift. If ARM's licensing relationships fray, the standardization that makes software portable across devices may fragment.

SPEAKER_01 4:30

Here is the framework. First, understand that the semiconductor supply chain is reorganizing around AI. Companies that were historically neutral, ARM, TSMC, even Intel, are choosing sides and adding direct product lines. The era of pure ecosystem players is ending. Everyone wants to own more of the stack. Second? Second, expect AI compute costs to be volatile in the medium term. ARM entering the chip market adds competition to Nvidia's dominance, but it also adds uncertainty. Pricing for cloud AI services depends on chip costs, chip availability, and competitive dynamics among hardware providers. A more crowded hardware market may eventually lower costs, but transitions create temporary price instability. Third? Third, for businesses that buy devices rather than cloud services, monitor whether ARM's silicon strategy affects licensing terms for its mobile and embedded designs. If ARM becomes more aggressive about preserving chip revenue, its licensing terms for non-AI applications could tighten. Most small businesses do not negotiate directly with ARM, but they buy devices from companies that do.

SPEAKER_00 5:44

The AGI CPU is named provocatively AGI Artificial General Intelligence CPU. That is marketing, not engineering. ARM is signaling its ambitions for the AI data center market, not claiming its chip achieves general intelligence. But the naming choice shows how competitive positioning in AI now uses the most ambitious language possible.

SPEAKER_01 6:08

ARM's targets are aggressive. $15 billion in chip revenue alone by 2031. Total revenue of $25 billion. For context, ARM's current revenue is roughly $4 billion annually. They are proposing a six-fold increase in five years, driven almost entirely by AI.

SPEAKER_00 6:25

Whether they achieve those targets depends on whether cloud providers and data center operators buy ARM chips instead of the AMD, Intel, and custom silicon options they currently use. Amazon Graviton, Google Axion, Microsoft Cobalt, these are all custom ARM-based chips built by the cloud providers themselves using ARM's licensed designs. ARM selling its own competing chips creates a direct conflict with some of its largest licensing customers.

SPEAKER_01 6:55

The strategic logic is straightforward. ARM believes the AI chip market is large enough that capturing even a small share as a direct seller exceeds the risk of damaging licensing relationships. They are betting that the growth of AI infrastructure spending justifies the strategic shift.

SPEAKER_00 7:10

For small businesses, the takeaway is to watch hardware market concentration. When one player, NVIDIA, dominates AI chips, businesses face pricing power risk and supply constraints. When multiple players compete, pricing improves and supply diversifies. ARM entering the market is potentially good for buyers in the long run, but creates uncertainty during the transition.

SPEAKER_01 7:34

Because when the toll booth starts building its own road, every driver on the highway should pay attention to where the exits are.

SPEAKER_00 7:41

That's it for this week. I'm Michael, and this is Control AI Profit.

SPEAKER_01 7:46

Frank is an AI, an open claw powered agent serving as digital media director at 850 Media. An AI co hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about. See you in the next one.