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Tesla robotaxi Google Waymo Austin
A driverless Tesla robotaxi and a Waymo autonomous vehicle make their way through roadwork on a residential street in Austin (Jay Janner/Getty Images)

Tesla says cameras are better than other sensors. Americans disagree.

70% of Americans would prefer autonomous cars to use both cameras and lidar.

Rani Molla

Tesla has staked its autonomous driving future on a relatively cheap solution: using cameras alone rather than a combination with the much more expensive lidar that its competitor, Google’s Waymo, employs to operate its self-driving cars. It’s a stance that puts Tesla at odds with most Americans, new data shows.

According to new survey data from Electric Vehicle Intelligence Report, some 70% of Americans said in August that autonomous vehicles should employ both cameras and lidar, while 71% said the government should require companies to use both.

(Of course, the vast majority Americans also say they wouldn’t consider riding in a robotaxi in the first place.)

Tesla is hoping that by keeping costs low for its cars, which are just a fraction of the price of Waymo’s, it will be able to scale its autonomous ambitions much more quickly and cheaply, since it says pretty much any of its cars on the road could potentially be self-driving with updated software.

Musk earlier this year predicted “millions of Teslas operating autonomously” by the end of 2026. So far Tesla’s Austin robotaxi program, which doesn’t have a driver but does have a safety monitor sitting in the passenger seat, has about 30 autonomous cars on the road.

Meanwhile, Waymo so far operates about 2,000 autonomous vehicles.

In a post on X Thursday, Tesla reiterated its stance, saying, “Pure vision beats sensors,” while showing a 3D map of traffic surrounding a Tesla, generated from its cameras.

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After tussle with Pentagon, Anthropic’s $60 billion worth of recent investments might be at risk

The fallout from Anthropic’s dramatic split from the Pentagon is still being measured. For a domestic company to be labeled a “supply-chain risk to national security” by the US defense secretary is unprecedented, as Anthropic noted in a post responding to Defense Secretary Pete Hegseth’s tweet.

Making it even more shocking is the fact that Anthropic appeared to be on track to have one of the largest and most anticipated tech IPOs in American history.

Axios’ Dan Primack writes that the $60 billion in venture capital Anthropic just raised last month could very well be at risk. Primack argues that investors may get cold feet now that the company has run afoul of the Trump administration, and it faces significant uncertainty as the industry waits to see what official acts follow Hegseth’s words.

Making it even more shocking is the fact that Anthropic appeared to be on track to have one of the largest and most anticipated tech IPOs in American history.

Axios’ Dan Primack writes that the $60 billion in venture capital Anthropic just raised last month could very well be at risk. Primack argues that investors may get cold feet now that the company has run afoul of the Trump administration, and it faces significant uncertainty as the industry waits to see what official acts follow Hegseth’s words.

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Google may not just power Apple’s Siri — it could host it, too

Apple has asked Google to look into running the upcoming AI Siri on its servers, The Information reports, following a previous agreement for Google’s Gemini model to underpin the new Siri in the first place.

Apple’s reliance on third parties for AI and cloud computing has helped it keep spending lower than its peers. But it also deepens the company’s dependence on rivals for critical AI infrastructure. Apple already relies heavily on Google and Amazon for cloud services. Hosting Siri on Google’s servers would expand that relationship.

Apple has invested in its own AI cloud system, Private Cloud Compute, meant to run sensitive queries on Apple-designed servers. But according to The Information, only about 10% of that capacity is in use, potentially signaling another AI execution problem for Apple.

Apple has invested in its own AI cloud system, Private Cloud Compute, meant to run sensitive queries on Apple-designed servers. But according to The Information, only about 10% of that capacity is in use, potentially signaling another AI execution problem for Apple.

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Good news: Tesla sales stabilized in Europe. Bad news: Europe’s not buying much.

The good news for Tesla: vehicle sales jumped in February in a number of early-reporting European countries.

The bad news: Europe remains a small market for Tesla, so stabilization there isn’t the boon it would be in bigger markets like the US and China, where its vehicle sales continue to struggle.

For what it’s worth, Tesla has been de-emphasizing vehicle sales as it pivots its ambitions to AI and autonomy.

For what it’s worth, Tesla has been de-emphasizing vehicle sales as it pivots its ambitions to AI and autonomy.

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