Another day, another mega-acquisition of a technology company — this time, it was the iconic Silicon Valley company, Intel, which shelled out $15B for Israel’s Mobileye (also a public company) in the high stakes battle to win the war in the shift to autonomous vehicles. In the Valley, when a company with “local” investors exits, everyone takes notice because the exits are rare and points on the board is how folks keep score, classy or not. For Mobileye, a company many miles away, it’s investors aren’t as well known here but, my oh my, this is a massive outcome. For all the articles out there, I found this piece in The Wall Street Journal and The Information‘s Amir Efrati’s piece on the deal the most informative.
Here are my quick takeaways from the deal:
1/ Tech Tsunamis Approaching From The Horizon: As Benedict Evans succinctly pointed out, “Intel missed mobile almost entirely and trying to make sure it doesn’t miss the next tech waves.” Those waves go beyond self-driving automobiles and cover many different areas under the umbrella of “robotics.” As Evans’ colleague Chris Dixon tweeted, the larger play for Intel, as exhibited in its other purchases, demonstrates a commitment to bet “on the next computing platforms: self-driving cars (Mobileye), drones & VR/AR (Movidius), deep learning (Nervana).”
2/ Hanging On for an M&A Bailout: One of the local narratives discussed more frequently is the idea that large incumbent and/or non-tech companies will use cash reserves to buy startups. If only it were that easy. Clearly, there is some dislocation between public and private markets, as Mobileye was purchased for nearly 30x forward revenues and at over a 33% premium. Additionally, many of these larger buyers may have even more cash on hand as companies repatriate overseas cash back onshore.
3/ Chips Are Hot: Not only are chips red hot (you’d know this if you follow Lux Capital’s Josh Wolfe on Twitter), the combination of pairing proprietary chips with software has pitted tech giants Intel in a strategic chess match with competitors like NVIDIA (which is widely viewed to have the most dominant position for AI-based chips) and Qualcomm (another mobile giant playing in similar sandboxes). In the case of Mobileye, Intel is investing in the lucrative area of collision avoidance for vehicles (including drones?), a critical part of the “brain” for image detection and autonomy that is or will be required by regulations. Elite car manufacturers like BMW, Audi, and more are already in deep partnerships (obviously) with the new “brain” companies. (Amir’s post and the WSJ links above go into a bit more detail on these matters.)
4/ Platform Shifts At Scale: When new platforms emerge, new ideas have a chance to reach scale, and investors (obviously) pay close attention to follow these trends. Twenty years ago, we witnessed a shift to the web; a decade ago, it was a shift to mobile; and today, founders and investors are placing their bets for the next shifts, whether those be related to areas virtual reality, blockchain infrastructure, or artificial intelligence, among others. We won’t know which of these will win, or how big. What we do know, however, is after GM bought Cruise for over $1B, and after this massive $15B purchase by Intel, that the shift from human-driven cars to automated vehicles is a platform shift so deep and wide, that companies like Intel, among others, believe it will generate upward of $100B over the next two to three decades.
5/ “A Server On Wheels” – that’s Intel’s CEO’s description of the car. This sea change has manifested itself in many ways — generalist technologists are now turning their sights on automotive technology, searching for opportunity; large incumbent companies that manufacture vehicles or are broadly focused on the automotive sector/experience, flush with cash, are actively investing real sums in this new ecosystem, up and down the stack, and even so far into car-based information and entertainment systems; and every investor feels pressure to have some exposure to this shift, investing in all sorts of direct- and adjacent plays around cars to collect road, vehicle, and other key data that will power the brains of the car, or entertain us while computers drive us around.