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Qualcomm is the quintessential American tech company steeped it engineering excellence. Its genesis was the development of a new wireless standard called CDMA. Initially, it was written off as a failure, often ridiculed by its larger global rivals. It created a niche by getting American mobile providers like Verizon, Sprint and South Korean mobile providers like SK Telecom to adopt its technology. Qualcomm found redemption as the mobile providers often had the best networks in their respective countries, better than the globally dominant GSM standard. It found salvation when a variant of its CDMA standard was adopted as the global 3G standard called Wideband CDMA or to those who still harbored old animosities UMTS. It then became the global leader in 4G by holding most of the patents on the OFDM technology that underlies LTE.

By the late 2010s, Qualcomm that engineered itself through superior technology to unprecedented success was faced with five major problems that no engineering solution could easily fix.

Despite being the premier mobile technology company growth had slowed down as upstarts like MediaTek was gaining market share, first in the entry level, highly price sensitive segment but was closing the performance gap between the solutions of the two companies. Qualcomm still dominated the flagship segment, but MediaTek dominated the entry level.
Broadcom launched a hostile takeover to buy Qualcomm as investors were frustrated with low stock returns. Broadcom was only thwarted through the intervention of the US government.
Qualcomm’s largest customer Apple with the support of the Department of Justice was using the courts as a price negotiation tool.
The Android smartphone market was increasingly concentrating with Samsung and Chinese providers driving other manufacturers out of the market. Former mobile phone giants like LG and HTC exited the market.
The relationship between the United States and China was becoming increasingly hostile. The US government instituted unprecedented sanctions against Huawei and imposed trade restrictions on semi-conductors.

Qualcomm CEOs are engineers at heart, Irwin Jacobs, the legendary founder; his son Paul, and Steve Mollenkopf. While Cristiano Amon is also an engineer has cut his chops as President of Qualcomm by spearheading the diversification of Qualcomm into more business segments and therefore to enable Qualcomm to participate in more growth sectors.

Under Cristiano Amon the company is continuing to focus on mobile and IoT but is expanding into computing and automotive. By doing so Qualcomm has expanded its addressable market from $15 billion to over $700 billion. The impact has been almost immediate. Qualcomm has now a $30 billion design win pipeline until 2030.

How did he do this? Qualcomm purchased several companies to strengthen its position in the respective sectors. It bought Cellwize and Augmented Pixels to improve its positioning in mobile, Clair AIR to strengthen its capabilities in the AR/VR area. But most importantly, Qualcomm bought Nuvia, a company focusing on ARM-based computing solutions and Arriver, a company with particular strength in advanced driver assistance software and hardware. And just a last week, Qualcomm acquired Autotalks, a fabless chipmaker making silicon and systems-on-chip for automotive safety.

The Nuvia acquisition is laying the ground work to strengthen Qualcomm’s core base of computing, just like the acquisition of P.A. Semi in 2008 did for Apple. P.A. Semi focused on low power processors and brought to Apple the expertise to build first the A-series chips that have powered iPhones since 2010 and now the M-series chips that were launched in 2020. If Apple’s success is any indication then ARM-based processors are going to be the processors of the foreseeable future. The power envelope of compute power, electric power consumption and heat generation are not on the side of x86 processors, but ARM-based processors. It could also help Qualcomm to close the mobile processor speed gap between itself and Apple A-series processors and increase the gap between Qualcomm and MediaTek processors. Faster, more powerful processors will also help in Qualcomm’s greatest growth market: automobiles.

Where Qualcomm is most likely to replicate the strong position it has in mobility is in electric vehicles. Qualcomm has created a comprehensive solution for automobile manufacturers called Snapdragon Digital Chassis. It combines safety and connectivity with entertainment, customization and upgradability. It takes the basic lessons of a smartphone and takes it to the automobile. The parallels and similarities as the car becomes essentially a mobile server are striking. Qualcomm is coming into this market at the right time when other’s have laid a foundation for the demand, but Qualcomm has the more comprehensive and elegant solution. Qualcomm has also the opportunity to provide a solution that rivals that of Apple. Apple’s Carplay service is viewed by many car manufacturers as a bear-hug take-over of a large part of the user interface between the drivers and passengers of the car most of the navigation and entertainment interface. Automobile manufacturers are especially sensitive due to the long-rumored Apple project to build their own electric car and Google’s Waymo autonomous car company. The car manufacturers know Apple and Google do not come in peace and do mean harm to them. Car manufacturers have to own the user interface between the vehicle and the customer, but know their solution has to be on-par if not better than that of Apple and Google. Working with Qualcomm gives them a chance to do that and so much more. In addition, while there exists significant brand loyalty for traditional car buyers with more than 50% of owners of one car brand to own a car from the same car brand, this loyalty does not exist when it comes to the switch to an electric vehicle. This levels the playing field and is an incredible threat to incumbents and opportunity for new market entrants. Tesla is the embodiment of this new generation of automobile manufacturers. While Tesla had to pioneer a lot of the systems themselves, the next generation electric vehicles can rely on integrated solutions from a company like Qualcomm. Car manufacturers like General Motors, Cadillac, Stellantis, and Mercedes-Benz as well as BMW, Hyundai, Nio and Volvo are in varying degrees of partnership with Qualcomm. Such an array of car manufacturers and a solution that offers breadth and depth gives Qualcomm critical mass to win the automotive market. Who would have thought three years ago?

When Nvidia announced that it was in the process of buying Arm from Softbank, many analysts and industry observers were exuberant about how it would transform the semiconductor industry by combining the leading data center Artificial Intelligence (AI) CPU company with the leading device AI processor architecture company. While some see the potential advantages that Nvidia would gain by owning ARM, it is also important to look at the risks that the merger poses for the ecosphere at large and the course of innovation.

An understanding of the particular business model and its interplay highlights the importance of the proposed merger. Nvidia became the industry leader in data center AI almost by accident. Nvidia became the largest graphics provider by combining strong hardware with frequently updated software drivers. Unlike its competitors, Nvidia’s drivers constantly improved not only the newest graphics cards but also past generation graphics cards with new drivers that made the graphics cards faster. This extended the useful life of graphics cards but, more importantly, it also created a superior value proposition and, therefore, customer loyalty. The software also added flexibility as Nvidia realized that the same application that makes graphics processing on PCs efficient and powerful – parallel processing – is also suitable for other heavy computing workloads like bitcoin mining and AI tasks. This opened up a large new market as its competitors could not follow due to the lack of suitable software capabilities. This made Nvidia the market leader in both PC graphics cards and data center AI computation with the same underlying hardware and software. Nvidia further expanded its lead by adding an parallel computing platform and application programming interface (API) to its graphics cards that has laid the foundation for Nvidia’s strong performance and leading market share in AI.

ARM, on the other hand, does not sell hardware or software. Rather, it licenses its ARM intellectual property to chip manufacturers, who then build processors based on the designs. ARM is so successful that virtually all mobile devices use ARM-based CPUs. Apple, which has used ARM-based processors in the iPhone since inception is now also switching their computer processors from Intel to ARM-based internally built CPUs. The ARM processor designs are now so capable and focused on low power usage that they have become a credible threat to Intel, AMD, and Via Technology’s x86-based CPUs. Apple’s move to eliminate x86 architecture from their SKUs is a watershed moment, in that solves a platform development issue by allowing developers to natively design data center apps on their Macs. Consequently, it is only a matter of time before ARM processor designs show up in data centers.

This inevitability highlights one of the major differences between ARM and Nvidia’s business model. ARM makes money by creating processor designs and selling them to as many companies that want to build processors as possible. Nvidia’s business model, on the other hand, is to create its own processor designs, turn them into hardware, and then sell an integrated solution to its customers. It is hard to overstate how diametrically different the business models are and hard to imagine how one could reconcile these two business models in the same company.

Currently, device AI and data center AI are innovating and competing around what kind of tasks are computed and whether the work is done on the device or at the data center or both. This type of innovative competition is the prerequisite for positive long-term outcomes as the marketplace decides what is the best distribution of effort and which technology should win out. With this competition in full swing, it is hard to see how a company CEO can reconcile this battle of the business models within a company. Even more so, the idea that one division of the New Nvidia, ARM, could sell to Nvidia’s competitors, for example, in the datacenter or automotive industry and make them more competitive is just not credible, especially for such a vigorous competitor as Nvidia. It would also not be palatable to shareholders for long. The concept of neutrality that is core to ARM’s business would go straight out of the window. Nvidia wouldn’t even have to be overt about it. The company could tip the scales of innovation towards the core data center AI business by simply underinvesting in the ARM business, or in industries it chooses to deprioritize in favor of the datacenter. It would also be extremely difficult to prove what would be underinvesting when Nvidia simply maintained current R&D spend rather than increasing it, as another owner might do as they see the AI business as a significant growth opportunity rather than a threat as Nvidia might see it.

It is hard to overestimate the importance of ARM to mobile devices and increasingly to general purpose computing – with more than 130 billion processors made as of the end of 2019. If ARM is somehow impeded from freely innovating as it has, the pace of global innovation could very well slow down. The insidious thing about such an innovative slow down would be that it would be hard to quantify and impossible to rectify.

The proposed acquisition of ARM by Nvidia also comes at a time of heightened anti-trust activity. Attorney Generals of several states have accused Facebook of predatory conduct. New York Attorney General Letitia James said that Facebook used its market position “to crush smaller rivals and snuff out competition, all at the expense of everyday users.” The type of anti-competitive conduct that was cited as basis for the anti-trust lawsuit against Facebook was also that of predatory acquisitions to lessen the threat of competitive pressure by innovative companies that might become a threat to the core business of Facebook.

The parallels are eerie and plain to see. The acquisition of ARM by Nvidia is all too similar to Facebook’s acquisitions of Instagram and WhatsApp in that both allow the purchasing entity to hedge their growth strategy regardless of customer preferences while potentially stifling innovation. And while Facebook was in the driver’s seat, it could take advantage of customer preferences. Whereas in some countries and customer segments the core Facebook brand is seen as uncool and old, Instagram is seen as novel and different than Facebook. From Facebook’s perspective, the strategy keeps the customer in-house.

The new focus by both States and the federal government, Republicans and Democrats alike, on potentially innovation-inhibiting acquisitions, highlighted by their lawsuits looking at past acquisitions as in Facebook’s and Google’s case, make it inevitable that new mergers will receive the same scrutiny. It is likely that regulators will come to the conclusion that the proposed acquisition of ARM by Nvidia looks and feels like an act that is meant to take control of the engine that fuels the most credible competitors to Nvidia’s core business just as it and its customers expands into the AI segment and are becoming likely threats to Nvidia. In a different time, regardless of administration, this merger would have been waved through, but it would be surprising if that would be the case in 2021 or 2022.