$ARM Holdings(ARM)$  This is a very important strategic shift, and the market is starting to treat Arm Holdings very differently from a traditional IP licensing company.

Let us break this down properly.

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Is this the start of an Nvidia-style transformation?

The comparison with Nvidia is not completely wrong, but the business models are still different.

Old Arm model

License CPU architecture (IP licensing)

Collect royalties per chip sold

Very high margins

But revenue growth limited by partners

New Arm strategy

Sell full data centre CPUs

Possibly full platform solutions

Compete in AI servers

Higher revenue per chip

Lower margins initially, but much larger TAM

This is a move up the value chain.

Instead of selling shovel designs, they want to sell the entire shovel.

That is exactly what Nvidia did:

Started with GPUs

Then CUDA software

Then AI systems

Then DGX servers

Now AI infrastructure company

Arm is trying a similar path, but in CPUs for AI servers.

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Why this is a big deal

AI workloads are shifting:

Training → GPUs

Inference → CPUs + custom accelerators

Agentic AI → many small tasks, efficient CPUs matter

Edge AI → ARM already dominates

Mobile AI → ARM dominates

Cloud servers → ARM gaining share (AWS Graviton, etc.)

So Arm potentially sits in edge + cloud + device + robotics + automotive AI.

That is extremely powerful positioning.

If they really reach:

$25B revenue

$9 EPS by 2031

Then current valuation may actually not look expensive in hindsight.

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Bull case for Arm

1. AI inference runs on ARM CPUs

2. Cloud providers design ARM chips

3. Edge AI explosion (phones, robots, cars, IoT)

4. ARM becomes standard architecture for AI devices

5. Royalty + chip sales = dual revenue model

6. Very similar ecosystem power to Nvidia CUDA, but at CPU level

In this scenario, Arm becomes foundational AI infrastructure, not just an IP company.

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Bear case

1. Customers design their own chips and reduce ARM dependence

2. RISC-V becomes a real threat

3. Data centre CPU margins lower than expected

4. Nvidia + AMD dominate AI servers anyway

5. Transition period hurts margins and valuation compresses

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My honest view

This is not exactly another Nvidia, but it could become something like the Intel of the AI era, except with royalties on almost every device on Earth.

If AI expands into:

phones

robots

autonomous vehicles

smart devices

edge computing

cloud inference

Then Arm is everywhere.

So the real thesis is not: “Arm becomes Nvidia.”

The thesis is: “Arm becomes the architecture layer of the AI world.”

That is actually a very powerful position.

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If it were me

In AI infrastructure, I would think in layers:

1. Chips – Nvidia, AMD

2. Memory – Micron

3. Foundry – TSMC

4. Architecture – Arm

5. Cloud – Microsoft, Amazon, Google

6. Power/Energy – utilities, nuclear

7. Networking – Broadcom, Marvell

Arm sits in a very interesting layer that many investors still underestimate.

So yes, I would pay attention to Arm, but whether to shift heavily depends on valuation after this new strategy is priced in.