Tech
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Rani Molla

Bloomberg: Acquihiring could lead to... more public companies?

One month after Meta “acquihired” Scale AI in a $14.3 billion “strategic partnership and investment” deal that bought the social media giant Scale’s CEO, a 49% stake in the AI data-labeling company, and privileged access to the company’s technology, the husk of Scale AI is laying off 200 employees — 14% of its workforce — as well as ending its relationship with 500 contractors.

It’s a common story these days as Big Tech firms look to buy up others’ innovation without angering antitrust watchdogs — a move that results in gutted private companies and the increased consolidation of power in Big Tech. Another recent example: Google’s poaching of many executives from Windsurf, which prompted OpenAI’s planned $3 billion acquisition of the AI coding startup to fall apart (followed by a separate deal with Cognition).

Bloomberg Opinion, though, has a highly optimistic — if highly unlikely — take: the acquihiring trend could actually be a good thing because it could force venture capital to invest in firms that have better business models more suited to going public, in an effort to make slightly more money than they do from firms that are acquihired, and by extension would create more public companies and more competition for Big Tech.

“Instead of pushing startups to get the highest possible valuation for a sale, VCs in an acquihiring market would prefer firms with a greater chance of running a long-term business and floating on the public markets. Strategic sales to Big Tech have always offered a premium over IPOs, but when such sales are less likely, going public becomes the more viable option. That could put venture investors on the hunt for startups with more sustainable businesses, not just those with a pitch deck promising hockey-stick growth and a total addressable market the size of Canada.”

Sure!

Asking VCs to shift away from potential “hockey stick growth” companies is completely antithetical to their raison d’être. So too is asking superstar employees not to look a gift horse in the mouth.

It’s a common story these days as Big Tech firms look to buy up others’ innovation without angering antitrust watchdogs — a move that results in gutted private companies and the increased consolidation of power in Big Tech. Another recent example: Google’s poaching of many executives from Windsurf, which prompted OpenAI’s planned $3 billion acquisition of the AI coding startup to fall apart (followed by a separate deal with Cognition).

Bloomberg Opinion, though, has a highly optimistic — if highly unlikely — take: the acquihiring trend could actually be a good thing because it could force venture capital to invest in firms that have better business models more suited to going public, in an effort to make slightly more money than they do from firms that are acquihired, and by extension would create more public companies and more competition for Big Tech.

“Instead of pushing startups to get the highest possible valuation for a sale, VCs in an acquihiring market would prefer firms with a greater chance of running a long-term business and floating on the public markets. Strategic sales to Big Tech have always offered a premium over IPOs, but when such sales are less likely, going public becomes the more viable option. That could put venture investors on the hunt for startups with more sustainable businesses, not just those with a pitch deck promising hockey-stick growth and a total addressable market the size of Canada.”

Sure!

Asking VCs to shift away from potential “hockey stick growth” companies is completely antithetical to their raison d’être. So too is asking superstar employees not to look a gift horse in the mouth.

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Alphabet’s drone delivery startup, Wing, expands service to the Bay Area

Move over Waymo — another one of Alphabet’s “Other Bets” is expanding. Drone delivery company Wing said Monday it’s bringing its “ultra-fast residential drone delivery service” to the Bay Area, where autonomous ride-hailing service Waymo also has a sizable presence.

tech

Tesla and SpaceX to jointly run “most epic chip-building exercise in history by far”

In the latest instance that Elon Musk views Tesla and SpaceX as effectively one company, the CEO of both announced Saturday that the two firms will join forces on his Terafab project — what Musk says will be “the most epic chip-building exercise in history by far.”

Many of the details mirror what we reported last week, with one major addition: SpaceX will play a leading role.

Terafab, whose location is still under consideration as the facility would be too big to fit on the Giga Texas campus, aims to vertically integrate the entire chipmaking process, from design and fabrication to testing and packaging. The goal is to supply AI chips to Tesla, SpaceX, and its subsidiary xAI, Musk’s AI company, whose suppliers Musk said will be unable to handle their demand in “three or four years.” While Tesla has designed its own chips, it has never manufactured them.

Musk said the facility is intended to produce up to 1 terawatt of compute annually. The plant will manufacture two types of chips: inference chips for Tesla’s Robotaxis and Optimus robots, and custom AI chips intended for space-based applications like solar-powered AI satellites. According to Musk, roughly 80% of the compute will be allocated to space-related uses, with the remaining 20% supporting projects on Earth.

Morgan Stanley has estimated the project could cost Tesla an additional $35 billion to $45 billion in capital expenditure, though now perhaps some of that capex might be shared with SpaceX. Like many of Musk’s ambitions, the project is enormous in scale and will likely to take years to complete — potentially into the end of the decade or beyond.

tech
Jon Keegan

White House releases AI legislative framework

The White House has released its policy wish list for AI legislation — and what it wants excluded.

Still, the odds of any actual AI regulation getting passed in Congress right now are very slim.

The “National Policy Framework” for AI lays out seven issues that the Trump administration wants to see reflected in any congressional action around AI.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

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