
Weekend reading
In 2014, $Microsoft (MSFT.US)$ spent 7.2 billion USD to acquire its mobile business from $Nokia Oyj (NOK.US)$ .
That year, everyone thought the story of this Finnish company, which had been around since 1865, had come to an end. The Nokia 3310, remembered by a generation for its durability — able to crack walnuts, survive being thrown against a wall, and play the game Snake — along with the entire company behind it, was relegated to the 'tears of the times' album.
Eleven years later, Jensen Huang called and said he would give them 1 billion USD.
Nokia's stock has surged approximately 110% from the beginning of the year, reaching its highest level in nearly 20 years.
This is not a 'dead cat bounce' for an old stock; it is an underappreciated thread within the AI narrative expected between 2025 and 2026.
Moreover, hardly any Chinese investors are seriously discussing it.
Who is Justin Hotard?
The story begins with a name.
In February 2025, Nokia's board of directors announced that the current CEO, Pekka Lundmark, will step down, and on April 1st, an American named Justin Hotard will take over.
This is the first American-born CEO in Nokia's history since its founding in 1865.
Hotard is a typical figure in the tech industry who is 'not very famous but always seems to be at the forefront of trends.' He earned his bachelor’s degree in electrical engineering from the University of Illinois and an MBA from MIT Sloan. He worked at$HP Inc (HPQ.US)$(HPE) for eight and a half years, eventually leading the high-performance computing and AI lab, where he personally delivered the world's first exascale supercomputer for the U.S. Department of Energy. Then, in early 2024, Intel recruited him to head their Data Center and AI division, reporting directly to Pat Gelsinger.
Pay attention to his resume. HPC, data centers, and AI—these three keywords have nothing to do with Nokia’s image over the past decade.
What does Nokia do? It builds base stations, telecom equipment, fiber optics, and sells to operators—a typical, slow-moving, market-forgotten 'Old Europe' hardware company.
But in early 2025, Nokia’s board made a seemingly unconventional decision: they didn’t want someone knowledgeable about telecom; they wanted someone knowledgeable about AI.
In the appointment announcement, Chairperson Sari Baldauf stated: 'The AI and data center markets are key areas for Nokia’s future growth.'
At that moment, almost no one took it seriously. The market reaction was lukewarm, with only a slight increase in stock prices. All analysts were writing balanced analyses titled 'Finnish veteran company changes leadership—can the newcomer reverse the decline?'
No one realized that this company was quietly changing its engine.
An Undervalued Acquisition
Viewed in isolation, Hotard’s appointment appears to be just another routine executive reshuffle. But when considered alongside another event from six months ago, the narrative changes completely.
In June 2024, Nokia announced its acquisition of a U.S. company—Infinera—for USD 2.3 billion.
What does Infinera do? It operates in optical networking—a field that, simply put, involves supplying fiber-optic communication equipment used between data centers and between server racks.
If you’ve spoken with professionals working on AI infrastructure, you’ll know one key fact:
The biggest bottleneck in AI data centers isn’t GPUs—it’s optical communications.
$NVIDIA (NVDA.US)$A single rack can house 72 GPUs, which must exchange data intensively among themselves. A data center may contain tens of thousands of GPUs that also need to communicate. Moreover, training data must be synchronized across multiple data centers. With every additional cluster, demand for optical modules grows exponentially.
That’s why, over the past two years, optical module companies—both in the U.S., $Coherent (COHR.US)$and in China,$Zhongji Innolight (300308.SZ)$、$Eoptolink Technology Inc., (300502.SZ)$have seen their stock prices soar.
Infinera is one of the few companies that simultaneously master two core technologies: photonic integrated circuits (PIC) and data center interconnects. It already has established customer relationships with North American hyperscale cloud vendors such as Microsoft, Amazon, and Google.
When Nokia signed this deal in June 2024, the market interpreted it as a narrative of 'a traditional telecom company acquiring another traditional fiber-optic company, a typical case of two elephants huddling together for warmth.'
However, by February 2025, when the transaction closed and Infinera was consolidated into Nokia's financials, the Finnish veteran firm’s financial figures began to shift:
- For the full year of 2025, optical networking revenue grew by 17% year-over-year.
- In the first quarter of 2026, optical networking sales reached €821 million, growing 20% year-over-year, surpassing IP and core software to become Nokia's second-largest business.
- Revenue contributed by AI and cloud customers surged 49% year-over-year in a single quarter.
The most critical figure is this: in the first quarter of 2026, AI and cloud customers placed orders worth €1 billion with Nokia.
What does this number mean? It means that the order volume in a single quarter exceeded Infinera’s total annual sales before its acquisition.
And all this happened with almost no attention outside Western tech media.
Jensen Huang’s call
What truly shocked the market was October 28, 2025.
On that day, NVIDIA announced at the GTC conference in Washington that it would invest 1 billion US dollars in Nokia at a price of 6.01 US dollars per share.
Pay attention to this detail: '6.01 US dollars per share' is a subscription price, not the market price. NVIDIA is not buying stocks on the secondary market; instead, Nokia has issued a new batch of shares specifically for NVIDIA. This represents a strategic investment by NVIDIA, not just a financial one.
Why did Jensen Huang give Nokia 1 billion US dollars?
NVIDIA’s official statement is that the two parties will jointly develop AI-RAN (AI Radio Access Network). Nokia’s 5G and 6G software will be ported to NVIDIA’s CUDA platform, and NVIDIA’s Arc-Pro accelerator, specifically developed for the telecommunications industry, will be integrated into Nokia’s base stations.
T-Mobile USA became the first pilot operator, with Dell providing servers.
At first glance, this appears to be another typical story of 'AI empowering an industry.' However, the real surprise lies in a technical detail that 99% of people would overlook.
First, you need to understand the context: in the AI-RAN space, Nokia is not the only player. Its biggest competitor is$LM Ericsson Telephone (ERIC.US)$(Ericsson).
Ericsson and Nokia seem to be doing the same thing, both providing 5G/6G base station equipment to operators. However, when it comes to 'how to integrate GPUs into base stations,' they have taken two completely different approaches.
Engineers half-jokingly refer to these two paths as the 'religious war.'
The first path is called Lookaside (bypass acceleration). This is the route taken by Ericsson and Intel. Simply put: the CPU in the base station remains the main controller, while the GPU acts as a 'helper placed on the side.' When an acceleration task needs to be computed, the CPU 'hands over' the task to the GPU, which then returns it after completion. Data has to constantly jump back and forth between the CPU and GPU.
The second path is called Inline (in-line acceleration). This is the route followed by Nokia and NVIDIA. In short: network data received by the base station first enters the GPU, which processes it before handing it over to the CPU. The GPU becomes the protagonist, while the CPU takes a supporting role.
Sounds like just an engineering sequence issue?
No, this represents a fundamental divergence about 'who will be the computing center of the future.'
The entire raison d'être of NVIDIA is to prove that the GPU should be the center of data processing, with the CPU taking a backseat. The CUDA ecosystem and all its design philosophy revolve around 'GPU-centricity.' The Lookaside path presupposes from an architectural standpoint that 'the CPU is still the master,' which fundamentally conflicts with NVIDIA's worldview.
Thus, when NVIDIA sought a telecom partner, it could not choose Ericsson. It had to select a partner willing to place the GPU at the center stage.
Nokia is that partner.
This is why this $1 billion investment is not merely a 'strategic investment.' Jensen Huang personally marked a new chapter in his AI narrative; he is purchasing an entry point for NVIDIA’s GPUs to enter five million base stations worldwide.
According to forecasts by the analytics firm Omdia, the cumulative market size of AI-RAN will exceed $200 billion by 2030.
If told correctly, this story could make Jensen Huang's $1 billion investment one of the highest returning investments of his life.
Geopolitics played a role.
Nokia’s resurgence also involves some subtle undertones.
On April 13, 2026, Oliver Wong, an analyst at Bank of America, upgraded Nokia from 'Neutral' to 'Buy,' significantly raising the target price from €6.87 to €10.70. On that day, Nokia's share price surged by 9.67%, with trading volume increasing by 178% compared to the three-month average.
In that report, Oliver Wong listed four reasons why Nokia was undervalued. In the third reason, he wrote in a very tactful manner, but the meaning was crystal clear:
"After European countries gradually restricted Huawei and ZTE, Nokia has effectively become the 'last remaining Western sovereign-level supplier.'"
In plain terms, Europe wants to build sovereign data centers and sovereign 5G/6G networks, but Chinese equipment is not usable, and there are no such companies in the U.S. The only remaining Western suppliers are Nokia and Ericsson. However, Ericsson lacks full-stack capabilities in optical networking, and Infinera, which was acquired by Nokia, is an American company.$Cisco (CSCO.US)$As a result, almost all funding for European sovereign cloud projects flows toward Nokia.
This represents a classic 'geopolitical arbitrage' opportunity, with changes in the international order handing Nokia a significant gift. As long as it remains in the race, it will benefit from this dividend.
Coupled with the demand for optical networking from U.S. hyperscale cloud providers and T-Mobile's bet on AI-RAN, three sources of capital simultaneously flow into Nokia from different directions.
It took the market 18 months to realize this.
When you piece all the clues together, a very dramatic timeline emerges:
- In June 2024, Nokia announced the acquisition of Infinera.
- In February 2025, Hotard was appointed as the new CEO.
- In October 2025, NVIDIA invested $1 billion.
- On April 13, 2026, Bank of America upgraded its rating, and the stock price surged by 9.67% in a single day.
- On April 22, 2026, Q1 earnings disclosed €1 billion in AI/cloud orders, with optical networking business growing by 20%.
- On April 27, 2026, CFRA doubled its target price from the original $8 to $16, and Nokia’s stock price hit a new high since 2015.
Have you noticed?
The fundamentals began to shift 18 months ago. However, it took the market 18 months to connect the dots.
This is the classic 'value discovery' process. When a story hasn't been clearly told, everyone regards it as 'old wine in an old bottle'; by the time the story becomes clear, a large portion of the valuation has already been restored.
Nokia currently has a forward P/E ratio of 26 times, which is not expensive for an optical networking business growing at 17%. However, compared to its low point earlier this year, it is no longer the 'forgotten stock' lying on the ground.
Over the past two years, Chinese investors have kept their eyes on NVIDIA,$Taiwan Semiconductor (TSM.US)$、$Broadcom (AVGO.US)$、 $Advanced Micro Devices (AMD.US)$ which is the engine driving this wave of AI.
But beyond the engine, there are also the gearbox, drive shaft, tires, and highways.
The AI narrative is spreading from 'chips' to 'pipelines'.
The story of optical module manufacturers has been told for over a year. The next item likely to be repriced by the market may be base stations, fiber optics, data center power systems, or cooling systems.
History doesn't repeat itself, but it often rhymes.
When a new technological paradigm truly arrives, the greatest alpha may not lie in the most obvious places.
It resides in those corners you might think have 'already been forgotten'.