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OpenAI inks $38 billion deal with Amazon for compute

Amazon managed to pull off its monster quarter without any of those juicy OpenAI deals on its books that many of its competitors had. But now it too has one. The company’s stock, which vaulted on its earnings report last week, jumped 5% in early trading.

The ChatGPT maker has signed a $38 billion multiyear deal with Amazon Web Services to use its compute and reduce its reliance on Microsoft.

Amazon CEO Andy Jassy hinted at the as yet announced deal on the company’s earnings call last week when he described the company’s massive backlog of AWS business:

“Backlog grew to $200 billion by Q3 quarter end, and doesn’t include several unannounced new deals in October, which together are more than our total deal volume for all of Q3. AWS is gaining momentum.”

The deal notes that the agreement calls for “hundreds of thousands of state-of-the-art Nvidia GPUs.” Notably, this deal does not appear to use Amazon’s Trainium chips, which it has been pushing as part of its massive Project Rainier. The initiative will run 500,000 of the custom chips.

In a press release announcing the deal, OpenAI CEO Sam Altman said:

“Scaling frontier AI requires massive, reliable compute. Our partnership with AWS strengthens the broad compute ecosystem that will power this next era and bring advanced AI to everyone.”

In a post on X, Jassy said the deal takes effect right away:

“OpenAI will start using AWS’s infrastructure immediately and we expect to have all of the capacity deployed before end of next year-- with the ability to expand in 2027 and beyond.”

In the wake of this news, Wedbush analyst Dan Ives bumped up his price target on the e-commerce and cloud giant to $340 from $330, writing that this deal “is a continued move in the right direction for Amazon as they broaden AI services.”

Amazon CEO Andy Jassy hinted at the as yet announced deal on the company’s earnings call last week when he described the company’s massive backlog of AWS business:

“Backlog grew to $200 billion by Q3 quarter end, and doesn’t include several unannounced new deals in October, which together are more than our total deal volume for all of Q3. AWS is gaining momentum.”

The deal notes that the agreement calls for “hundreds of thousands of state-of-the-art Nvidia GPUs.” Notably, this deal does not appear to use Amazon’s Trainium chips, which it has been pushing as part of its massive Project Rainier. The initiative will run 500,000 of the custom chips.

In a press release announcing the deal, OpenAI CEO Sam Altman said:

“Scaling frontier AI requires massive, reliable compute. Our partnership with AWS strengthens the broad compute ecosystem that will power this next era and bring advanced AI to everyone.”

In a post on X, Jassy said the deal takes effect right away:

“OpenAI will start using AWS’s infrastructure immediately and we expect to have all of the capacity deployed before end of next year-- with the ability to expand in 2027 and beyond.”

In the wake of this news, Wedbush analyst Dan Ives bumped up his price target on the e-commerce and cloud giant to $340 from $330, writing that this deal “is a continued move in the right direction for Amazon as they broaden AI services.”

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Morgan Stanley expects Tesla to have 1,000 Robotaxis by the end of 2026. Musk had predicted 1,500 by the end of 2025

Ahead of Tesla’s earnings report next week, Morgan Stanley has released a note estimating that the company will scale its Robotaxi fleet much more slowly than CEO Elon Musk has said. The firm thinks the automaker will have 1,000 vehicles in its Robotaxi service by the end of 2026 — 500 fewer than Musk estimated a few months ago Tesla would have by the end of 2025.

More key to Tesla’s success, however, will be removing the safety monitors from those rides, which Morgan Stanley says will be a “precursor to personal unsupervised FSD [Full Self-Driving] rollout.” Musk, of course, had also promised to remove safety drivers in Austin by the end of 2025, but driverless rides are still in the testing stage.

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Meta says it’s delivered new AI models internally this month and they’re “very good”

Meta’s last AI model release, Llama 4, was marred by delays and accusations of rigged benchmarks, but the company says the latest models built by its Superintelligence Labs team look promising. CTO Andrew Bosworth told reporters at the World Economic Forum that the team delivered new models internally in January and they’re “very good.”

Bosworth didn’t specify what the models are, though The Wall Street Journal has reported that Meta is working on a large language model and an AI image and video model code-named Avocado and Mango, respectively.

tech

Two charts that show why Amazon is building a giant physical store

This week Amazon received approval to build a hybrid big-box store and fulfillment center outside Chicago that’s roughly twice the size of a typical Target. Why would the e-commerce giant want to wade into a costly and cumbersome physical store, especially after earlier brick-and-mortar iterations like Amazon Go have failed?

There are at least two reasons. First, despite e-commerce’s rapid growth, the vast majority of retail purchases still happen in physical stores, according to Census Bureau data:

Second, Amazon’s own customers regularly shop at competing big-box retailers: Consumer Intelligence Research Partners found that 93% have also shopped at Walmart. And as Amazon pushes further into groceries — a category still dominated by in-person shopping — CIRP estimates that basically all Amazon customers buy groceries elsewhere.

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