Tech
A woman walks past a Tesla with doors open in CHONGQING, CHINA
(Cheng Xin/Getty Images)
Taking Stock

Tesla is more disconnected from fundamentals than ever

Tesla is having an objectively bad time, but its stock keeps going up.

Rani Molla, Luke Kawa

Tesla has never been a stock whose price has closely tracked its fundamentals, often trading on what seem like hopes and vibes, so-called “animal spirits” factors. But even for Tesla, whose stock is up nearly 30% in the last month, its link with reality seems tenuous these days.

“Its the worst Ive ever seen because the fundamentals have never been as bad,” CEO of GLJ Research and Tesla bear Gordon Johnson told Sherwood News.

Last quarter, Tesla’s revenue fell to a nearly two-year low and it only eked out a profit thanks to regulatory credits. Now that the Trump administration is trying to walk back emissions standards, what little profit is left could disappear.

In 2024, annual vehicle deliveries fell for the first time. They fell last quarter, too. This quarter isn’t shaping up much better, as sales in its three biggest markets — the US, Europe, and China — have also declined.

Tesla’s promise earlier this year to “return to growth in 2025” was expunged from its latest earnings report. Analysts’ consensus estimates on FactSet call for vehicle deliveries and overall revenue to decline this year.

Ryan Brinkman, an analyst at JPMorgan who has long lamented how Tesla’s stock price is divorced from its financial performance, says the outlook for the EV company has “significantly worsened across every metric,” including gross margin, earnings per share, and free cash flow, over the past few months.

So what’s going on with the stock? A few things.

Currently, Tesla is more correlated with the S&P 500 than ever before, so as the stock market goes, so goes Tesla. Retail traders’ interest in momentum stocks is guiding overall price action, while Tesla’s fundamentals have been left by the wayside.

That’s reinforced by strong demand in the options market, where the bulls have been squarely in control since late April. The 21-day moving average for the ratio of puts to calls has sunk close to its lowest levels on record for the stock over the past month, indicating that activity is skewed toward options that benefit from upside in the shares.

But perhaps what’s boosting Tesla’s stock the most is the impending robotaxi launch scheduled for next month, which has raised excitement among Tesla bulls to a fever pitch.

Their hopes for a future where Teslas drive themselves — goaded by robotaxi testing and videos showing full self-driving software improving — has outboxed niggling issues of financial performance and the deterioration of the company’s fundamental business.

“It’s  tangible evidence that’s saying robotaxis are moving from a more theoretical idea to a real product, a real service,” Morningstar equity strategist Seth Goldstein said.

CEO Elon Musk seems to always have some event or product for fans and investors to look forward to in the future. It’s often enough to propel the stock forward until the next big thing. Of course, big expectations can also lead to big disappointments, and Musk is notoriously bad with timelines.

“As we saw last year when Tesla even moved the robotaxi event two months later, we saw the stock sell off,” Goldstein said. “That tells me how much enthusiasm is priced into the stock that everything goes flawlessly with the robotaxi launch. And inevitably when you’re launching a new product, things do not go flawlessly.”

Any bad news surrounding the launch or autonomous driving in general — not getting the appropriate permits, delays, accidents, not scaling unsupervised full self-driving to California and the whole country as promised — could cause the stock to sell off.

“I expect fundamentals to eventually matter,” JPMorgan’s Brinkman tells us — not specifying when, just that it’s inevitable.

As Johnson put it, “ I have seen companies where the stocks have become detached from reality, but I’ve never seen a company where the stocks stay detached from reality.”

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DeepSeek releases new V4 series models highlighting efficiency and long context

Chinese AI lab DeepSeek has released a major new version of its eponymous open-source AI models that are nipping at the heels of leading frontier models in some areas.

The most significant DeepSeek-V4 Pro and DeepSeek-V4 Flash both have a 1 million-token context — the amount of information the model can actively work with in a single session — which is a crucial feature for complex, long-running coding tasks.

DeepSeek rebuilt how the models process information under the hood, making them substantially more efficient — and that efficiency is what makes the large context window actually usable.

Also, the new models’ coding skills have closed the gap with the major frontier models from Anthropic, OpenAI, and Google.

The authors of the model acknowledge some of V4’s shortcomings, such as its lower scores on reasoning benchmarks, saying that V4 “trails state-of-the-art frontier models by approximately 3 to 6 months.”

As open-weight models, V4 can be run on any user’s own hardware, making the V4 models among the top-performing open-source models out there. V4’s large context and token efficiency are especially significant among open-source models.

But like with earlier DeepSeek models, don’t ask it about Tiananmen Square.

DeepSeek rebuilt how the models process information under the hood, making them substantially more efficient — and that efficiency is what makes the large context window actually usable.

Also, the new models’ coding skills have closed the gap with the major frontier models from Anthropic, OpenAI, and Google.

The authors of the model acknowledge some of V4’s shortcomings, such as its lower scores on reasoning benchmarks, saying that V4 “trails state-of-the-art frontier models by approximately 3 to 6 months.”

As open-weight models, V4 can be run on any user’s own hardware, making the V4 models among the top-performing open-source models out there. V4’s large context and token efficiency are especially significant among open-source models.

But like with earlier DeepSeek models, don’t ask it about Tiananmen Square.

$28.5T

SpaceX thinks its total addressable market (TAM) is a whopping $28.5 trillion for its businesses, according to an S-1 filing for its upcoming IPO reviewed by Reuters. And most of that market isn’t rockets. The company says roughly 90% could come from AI — largely selling artificial intelligence tools to businesses.

“We believe that our enterprise strategy, which is focused on serving the digital needs of the world’s largest industries with Al solutions, positions us competitively to pursue this rapidly ⁠growing opportunity,” ​SpaceX said in the filing. “We believe we have identified the largest actionable total addressable market in human ​history.”

TAM, of course, assumes capturing every possible customer. But even a small slice of a $28.5 trillion market would be enormous.

tech

Tesla Cybercab production has begun

On Tesla’s earnings call earlier this week, CEO Elon Musk said production of the company’s steering-wheel-less Cybercab had begun. Since then, Musk and Tesla have posted videos showing the gold two-seater rolling off the line at its Texas Gigafactory and onto the road.

The Cybercab — meant both for consumers and Tesla’s Robotaxi network — is widely seen as central to the company’s future. “The future of the company is fundamentally based on large-scale autonomous cars and large scale and large volume, vast numbers of autonomous humanoid robots,” Musk said last year.

Whether these cars actually make it to consumers is another question. For now, regulations generally require steering wheels, and Tesla still has to prove the vehicles can reliably drive themselves.

On the earnings call, Musk said production would be “very slow” but would ramp up and go “kind of exponential towards the end of the year and certainly next year.”

tech

Meta signs deal to use Amazon Graviton chips

Meta said it will deploy “tens of millions” of Amazon Web Services Graviton CPU cores to power so-called “agentic” AI systems — tools that can reason, plan, and act on their own. The move makes Meta one of the largest customers of Amazon’s in-house chips.

The deal also underscores a broader shift in AI infrastructure, as companies move beyond Nvidia GPUs and use different chips for different tasks.

Meta, which is working on its own custom inference chips, also has chip deals with Advanced Micro Devices and Nvidia.

The deal also underscores a broader shift in AI infrastructure, as companies move beyond Nvidia GPUs and use different chips for different tasks.

Meta, which is working on its own custom inference chips, also has chip deals with Advanced Micro Devices and Nvidia.

tech

Oracle rises after Wedbush’s Dan Ives calls the stock a buy with 25% upside

Oracle extended its premarket gains Friday after Wedbush Securities’ Dan Ives initiated coverage with an “outperform” rating and a $225 price target — about 25% upside to its pre-initiation level — calling the enterprise software and cloud infrastructure company a “foundational infrastructure provider for the AI revolution.”

Ives argues investors are misreading Oracle’s heavy capital spending and negative free cash flow as risky, despite being backed by a massive $553 billion backlog of contracted demand. He says the company’s “secret sauce” is a two-part strategy: building high-performance cloud infrastructure for AI workloads while connecting those models directly to companies’ own data.

“We believe Oracle is in the early innings of a significant repositioning as it executes on this generational opportunity,” Ives wrote.

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