Tech
US-AI-TECH-COMPUTERS-TELECOM
Nvidia founder and CEO Jensen Huang speaks during Nvidia Live at CES 2026 (Patrick T. Fallon/Getty Images)

Nvidia’s autonomous tech gives other automakers a chance to take on Tesla

Nvidia made a number of autonomous vehicle announcements at CES yesterday that should have Tesla worried.

Updated 1/6/26 1:54PM

Tesla is known for being an island. While most other carmakers and robotaxi services rely on an intricate web of hardware and software partnerships, Tesla does nearly everything in-house, from vehicle construction to the AI that powers its Full Self-Driving technology.

Enter Nvidia, whose autonomous driving software and hardware announcements yesterday underscore how Tesla’s once inaccessible approach to autonomy is becoming something other automakers can buy.

Presenting at the CES conference in Las Vegas yesterday, Nvidia CEO Jensen Huang unveiled Alpamayo, an open “reasoning” AI model family designed specifically for autonomous driving. The Alpamayo family of tools will introduce “chain-of-thought” models that can assess “novel or rare scenarios step by step.” In the press release accompanying the announcement, Huang said that the “ChatGPT moment for physical AI is here” and that he expects robotaxis to be among the first to benefit. Nvidia confirmed that Mercedes-Benz will begin shipping cars with the technology this year, offering advanced driver-assistance features comparable to Tesla’s FSD. (Mercedes’ former parent, Daimler, once held a 10% equity stake in Tesla.)

The AI chip designer also announced that it’s expanding its DRIVE Hyperion autonomous vehicle platform, bringing in a wide range of auto suppliers and sensor makers as it pushes the system as a ready-to-use foundation for self-driving cars and robotaxis. The platform bundles Nvidia’s latest Thor chips with cameras, radar, and lidar, centralized vehicle controls, and safety, simulation, and AI training tools — effectively packaging many of the pieces Tesla has built in-house into a system other automakers can use.

Taken together, the announcements show Nvidia turning autonomy into a platform business — one that could erode Tesla’s long-standing advantage by allowing rivals to buy the hardware, software, and safety infrastructure Tesla built for itself.

“I’m not losing any sleep about this,” Tesla CEO Elon Musk, who has had a notably chummy relationship with Huang, posted last night — one of several about the Nvidia announcements. “And I genuinely hope they succeed.”

In another comment, Musk noted that there’s a years-long interval between when autonomous tech “sort of works to where it is much safer than a human,” suggesting that Tesla is way ahead of any would-be competitors. Indeed, Musk added, “This is maybe a competitive pressure on Tesla in 5 or 6 years, but probably longer.”

Tesla is down about more than 4% today, while Nvidia, up slightly earlier today, is flat. Aeva, a 4D lidar company Nvidia announced a partnership with, soared as high as 37%.

More Tech

See all Tech
tech

Meta jumps after it releases Superintelligence Labs’ first model: Muse Spark

The first big release from Meta’s Superintelligence Labs is here — a new multimodal reasoning model called Muse Spark. Shares of Meta spiked on the news, extending gains it had made earlier in the day on optimism over the ceasefire with Iran. The stock was recently up about 9%.

Meta has been playing catch-up in the generative-AI race, watching startups OpenAI and Anthropic leap ahead with ever more capable models, after the bungled rollout of its Llama 4 models.

After Meta went on an expensive hiring spree assembling an all-star team of AI researchers, investors have been eager to see the fruits of this team, and to see if the accompanying billions of capex dedicated to power it — $115 billion to $135 billion this year alone — were worth it.

Meta says the release is the first in a Muse family of models, which it says it will scale up over time. The benchmark scores released by Meta show Spark to be capable, with solid scores among popular benchmarks, but not any huge leaps over leading models from Anthropic, OpenAI, xAI, and Google.

Meta CEO Mark Zuckerberg said in a post on Threads:

“Looking ahead, we plan to release increasingly advanced models that push the frontier of intelligence and capabilities, including new open source models. We are building products that don’t just answer your questions but act as agents that do things for you. I am optimistic that this will support a wave of creativity, entrepreneurship, growth, and health. I’m looking forward to sharing more soon.”

After Meta went on an expensive hiring spree assembling an all-star team of AI researchers, investors have been eager to see the fruits of this team, and to see if the accompanying billions of capex dedicated to power it — $115 billion to $135 billion this year alone — were worth it.

Meta says the release is the first in a Muse family of models, which it says it will scale up over time. The benchmark scores released by Meta show Spark to be capable, with solid scores among popular benchmarks, but not any huge leaps over leading models from Anthropic, OpenAI, xAI, and Google.

Meta CEO Mark Zuckerberg said in a post on Threads:

“Looking ahead, we plan to release increasingly advanced models that push the frontier of intelligence and capabilities, including new open source models. We are building products that don’t just answer your questions but act as agents that do things for you. I am optimistic that this will support a wave of creativity, entrepreneurship, growth, and health. I’m looking forward to sharing more soon.”

tech

Alibaba launches new data center powered by 10,000 of its custom chips

Alibaba announced a new data center in southern China, in a partnership with China Telecom powered by its own Zhenwu chips. The new data center will contain 10,000 of the homegrown chips, and may scale up to 100,000 over time. The data center will be used for both inference and training.

China is racing to build out its own sovereign AI capabilities, and is making significant progress.

While Chinese companies and labs have released many competitive AI models, such as Alibaba’s Qwen, Z.ai’s new GLM-5.1, and the disruptive DeepSeek R1, China is still behind the US when it comes to AI chips, and it has struggled to get hold of the latest Nvidia GPUs due to US export controls.

China is racing to build out its own sovereign AI capabilities, and is making significant progress.

While Chinese companies and labs have released many competitive AI models, such as Alibaba’s Qwen, Z.ai’s new GLM-5.1, and the disruptive DeepSeek R1, China is still behind the US when it comes to AI chips, and it has struggled to get hold of the latest Nvidia GPUs due to US export controls.

Psychic Boy Wearing Head Band

Anthropic: Our new Mythos model is so powerful, we can’t release it

The unusual announcement of the model highlights its alarming new cybersecurity capabilities.

tech

Bloomberg: Apple’s foldable iPhone is on track for September after all

Scratch that... Actually, Apple’s foldable iPhone may be on track to debut later this year after all.

Hours after a report from Nikkei Asia said Apple was encountering engineering problems with the novel design that could lead to a delayed launch, Bloomberg’s Mark Gurman reports that sources within Apple say the premium foldable iPhone is still on track to launch in September, alongside the iPhone 18 Pro and iPhone 18 Max.

Shares of Apple had plunged more than 5% on word of a possible delay, but pared losses on Gurman’s story.

According to the report, the foldable iPhone will cost more than $2,000 and will be a key part of the company’s plan to revamp the iPhone lineup.

Shares of Apple had plunged more than 5% on word of a possible delay, but pared losses on Gurman’s story.

According to the report, the foldable iPhone will cost more than $2,000 and will be a key part of the company’s plan to revamp the iPhone lineup.

Latest Stories

Sherwood Media, LLC produces fresh and unique perspectives on topical financial news and is a fully owned subsidiary of Robinhood Markets, Inc., and any views expressed here do not necessarily reflect the views of any other Robinhood affiliate, including Robinhood Markets, Inc., Robinhood Financial LLC, Robinhood Securities, LLC, Robinhood Crypto, LLC, Robinhood Derivatives, LLC, or Robinhood Money, LLC. Futures and event contracts are offered through Robinhood Derivatives, LLC.