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Netflix co-CEO Ted Sarandos (Monica Schipper/WireImage)

Things Netflix said it would never do, then did

Desperate times call for desperate measures.

With its announcement that it plans to buy Warner Bros. Discovery’s studio and streaming businesses, Netflix is doing something it repeatedly said it never would: buying an asset it long insisted it could build itself.

“It’s true that, historically, we have been more builders than buyers,” co-CEO Ted Sarandos said on the company’s last earnings call, when asked about entertainment industry M&A. “And we think we have plenty of runway for growth without fundamentally changing that playbook.”

Sarandos did seem to leave the door open, though, for a big enough opportunity, like one that includes, say, both HBO and a 100-year-plus portfolio of films.

“We focus on profitable growth and reinvesting in our business, both organically and through selective M&A,” he told investors. “And when it comes to M&A opportunities, we look at them — and we look at all of them, and we apply the same framework and lens that we look at when we look to invest in a build: is it a big opportunity?”

This wouldn’t be the first time Netflix has changed its tune, with notorious flip-flops on everything from advertising to password sharing. What’s perhaps more important, though, than a reversal of a corporation’s stated principles is why Netflix is considering such an about-face in the first place.

“Short form entertainment... is doing to streaming what streaming has done to traditional TV.”

As Pivotal Research Group Principal and Senior Analyst Jeffrey Wlodarczak wrote today, while the acquisition cements the streaming platform’s dominance in long-form entertainment, it belies a greater underlying tension: Netflix is afraid of competition from short-form content platforms TikTok and YouTube.

“...we believe this very expensive deal highlights NFLX management’s concern that short form entertainment (TikTok, Insta, X, YouTube shorts and Snap) is doing to streaming what streaming has done to traditional TV as (especially younger) consumers spend an increasing amount of time on these free platforms amidst declining attention spans (which is fundamentally negative for long form content),” Wlodarczak wrote, explaining why he lowered his price target to $105 from $160.

YouTube, of course, continues to be the biggest thing on TV, as TV disruptor Netflix itself fears disruption amid flat or weakening user engagement growth.

“While we still think it is early, time spent by consumers is migrating from traditional multichannel TV to streaming and now to social media platforms,” the Pivotal analyst wrote. “Flat to declining engagement, arguably is a precursor to subscriber weakness and difficulty taking price and NFLX is doing an extremely expensive content acquisition deal to at least temporarily offset this, but we believe this trend is likely set in stone.”

Here are some other instances where Netflix said it would never do something it then did — and why.

Netflix embraced ads.

Netflix upset traditional TV in part by giving users a more frictionless viewing experience: they could binge seasons of their favorite shows all at once, without so much as a single ad getting in the way.

Back in 2020, Netflix cofounder Reed Hastings said the company’s subscription-only strategy wasn’t “philosophical” but rather the “best capitalism” at the time. Two years later, after facing subscriber losses and slowing growth, the company changed its stance and launched its first ad-supported tier, giving it access to a new revenue source and more price-conscious consumers.

It cracked down on password sharing.

For a company that made its money from paying subscribers, Netflix had been notoriously loose on policing password sharing, going as far as declaring in 2017 that “love is sharing a password.”

Fast-forward a few years and the love had faded. Netflix began cracking down on password sharing by charging for extra users. Again, the move helped Netflix deal with subscriber losses and juice revenue.

Live TV, games, sports — Netflix moved beyond regular streaming.

Hastings long said that he preferred to excel at streaming rather than losing focus and being mediocre at other products.

"Its a product clarity thing,” he told Wired a decade ago. “We’re really about streaming — if you add these features then it gets more complicated and sometimes thats worth it but on the other hand, sometimes you get Microsoft Office.”

These days Netflix has fully embraced that complexity — the “MS Office” approach, so to speak — adding live TV, sports, and gaming as it acknowledges that its competition (and its users) have changed. The hope: features found on rival platforms could counter subscription losses, attract new customers, and increase engagement.

It’s possible, though, that Netflix’s latest reversal is different than the others. Buying part of Warner Bros. Discovery isn’t just doing something it said it wouldn’t do; it’s also doing what the TV giants it once disrupted did: consolidating and doubling down on what it knows.

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Nvidia is planning on spending $26 billion to train its own AI open-weight models, according to a 2025 financial filing. Wired was first to report the information. Nvidia has released several of its own AI models, including the Nemotron reasoning model, as well as specialized ones for specific tasks.

Nvidia making its own large frontier models could allow the company to go head-to-head against some of its biggest AI customers.

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Musk blurs the boundaries of his companies even more with joint xAI-Tesla AI agent project

Tesla and SpaceX CEO Elon Musk said Wednesday that Tesla and xAI, which is part of SpaceX, would work on a joint AI agent project called “Macrohard,” also referred to as “Digital Optimus,” as part of Tesla’s $2 billion investment in xAI. The collaboration would pair Grok with what Musk described as a real-time computer-controlling AI agent running on Tesla hardware.

In his post, Musk said Grok would serve as the higher-level “System 2” reasoning layer directing “Digital Optimus,” a faster “System 1” layer that processes the last five seconds of screen video and keyboard/mouse inputs to take action. He said the system would run inexpensively on Tesla’s low-cost AI4 chip alongside more expensive Nvidia chips at xAI, and suggested it could, “in principle,” emulate the function of entire companies. “No other company can yet do this,” he said.

Business Insider reported earlier Wednesday that Tesla was taking up the AI agent mantle as xAI’s similar project stalled, but Musk’s post suggests the initiatives are more intertwined than previously understood.

The collaboration marks the latest example of Musk’s companies working closely together, further blurring the lines between Tesla and the recently merged SpaceX-xAI entity.

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Meta doubles down on custom inference chips after reportedly scrapping training chip

Meta said today that it’s expanding its custom silicon development to include four new generations of Meta Training and Inference Accelerator (MTIA) chips. The announcement comes just weeks after The Information reported that the social media company had scrapped its most advanced AI training chip, dubbed Olympus, after facing design challenges. In the meantime, it signed outside chip deals with Nvidiaand Advanced Micro Devices.

Early in its recent conference call, Broadcom CEO Hock Tan sought to reassure investors that the custom chip specialist’s relationship with the social media giant was only getting stronger.

“Now contrary to recent analyst reports, Meta’s custom accelerator MTIA road map is alive and well,” he said. “We’re shipping now.”

The new road map suggests Meta’s in-house chips will focus more on inference, which has more predictable workloads, over training — a technically more demanding area dominated by Nvidia:

“MTIA 300 will be used for ranking and recommendations training, and is already in production. MTIA 400, 450 and 500 will be capable of handling all workloads, but we will primarily use these chips to support GenAI inference production in the near future and into 2027.”

Meta CFO Susan Li told attendees at Morgan Stanley’s tech conference earlier this month that the company “eventually” plans to expand its custom chip design to include training models.

Early in its recent conference call, Broadcom CEO Hock Tan sought to reassure investors that the custom chip specialist’s relationship with the social media giant was only getting stronger.

“Now contrary to recent analyst reports, Meta’s custom accelerator MTIA road map is alive and well,” he said. “We’re shipping now.”

The new road map suggests Meta’s in-house chips will focus more on inference, which has more predictable workloads, over training — a technically more demanding area dominated by Nvidia:

“MTIA 300 will be used for ranking and recommendations training, and is already in production. MTIA 400, 450 and 500 will be capable of handling all workloads, but we will primarily use these chips to support GenAI inference production in the near future and into 2027.”

Meta CFO Susan Li told attendees at Morgan Stanley’s tech conference earlier this month that the company “eventually” plans to expand its custom chip design to include training models.

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Google completes acquisition of Wiz — its biggest ever

Today Google said it has completed its $32 billion acquisition of cybersecurity startup Wiz, the largest deal in the company’s history.

“This acquisition is an investment by Google Cloud to improve cloud security and enable organizations to build fast and securely across any cloud or AI platform,” the company wrote in the press release.

The companies agreed to the all-cash purchase last year, after quite a bit of back-and-forth.

Alphabet updated acquisitions chart
Sherwood News
Alphabet updated acquisitions chart
Sherwood News

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