$ARM Holdings(ARM)$ 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.
---
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.
---
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.
---
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.
---
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
---
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.
---
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.
Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

