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Investors also love Elon Musk.

What makes Tesla, the world’s leading automaker by market cap, so valuable? The obvious answer would be that it sells hundreds of thousands of cars every quarter, for which it can command a tidy premium because of how much the Tesla name is worth. When it rolls out something new — no matter how odd-looking — Tesla fans are willing to put up money for the right to order a vehicle years later. As many of the world’s biggest economies try to transition away from internal combustion, Tesla is as well positioned as anyone to benefit immensely.
But according to one of its biggest boosters on Wall Street, Tesla’s core business of selling electric cars only contributes so much.
“Global EV momentum is stalling,” wrote Morgan Stanley analyst Adam Jonas, a longtime Tesla booster, in a research report released Monday. “The market is over-supplied vs. demand. We anticipate Tesla’s 2024 outlook to be cautious on volume and profitability.” He marked down his estimate for Tesla’s 2024 sales to 2.08 million units, compared to his previous estimate of 2.25 million, with profitability falling thanks to the aggressive price cuts the company instituted last year in a bid to juice sales. Then came the thing that really hurt: Jonas also adjusted his price target for Tesla shares down from $380 to $345 — a figure well north of the $212 the shares closed at on Friday, but still a noticeable cut. Tesla shares traded down 1.5% through Monday afternoon.
For any other car company that exclusively sold EVs, this kind of price target shrinkage would be a serious problem. But Jonas doesn’t see Tesla as a car company. Or, at least, not
just as a car company.
Of the $345 Jonas thinks a Tesla share is worth, only $75 comes from selling electric vehicles. The rest is largely from businesses that either don’t exist for the company, or else don’t generate meaningful revenue compared to selling cars.
Let’s break this down: In its most recent quarter, Tesla had around $23 billion of total revenues, $19.5 billion of which came from selling cars; $1.5 billion came from its energy business, with the remaining $2 billion coming from “services and other revenue,” which include Tesla’s Supercharging network.
To Jonas, however, Tesla “is both an auto stock + an energy, AI/robotics company,” he wrote, adding that “we believe investors should not ignore the continued developments of Tesla’s other bets.” These include things like turning its cars into something more like software subscriptions, which incur recurring revenues (as Tesla already does with its Full Self Driving software) and a robotaxi network that does not yet exist, but which Jonas projects will have 230,000 vehicles by 2030. There are also projects like the Optimus humanoid robot, which Jonas didn’t put a valuation on but thinks that investors should factor in when considering whether to buy or sell Tesla shares.
To get a sense of the gargantuan scale Jonas tends to operate on, last year he wrote that Dojo, the supercomputer Tesla developed for its automated driving system, could add $500 billion of value to Tesla, even though “it is difficult to explicitly validate the many claims Tesla has made about Dojo's cost and performance.” He was confident, however, that “Tesla has a chance of bringing forth a competitive customized solution given the company’s innovation track record and capabilities.”
The idea that Tesla can be more than an electric car company — one that sprouts innovative and profitable businesses, whether from robotics or artificial intelligence — stems almost entirely from the fact that Elon Musk runs it. Musk himself is well aware of this. Last week he wrote on X, “I am uncomfortable growing Tesla to be a leader in A.I. & robotics without having ~25% voting control,” which would be about double the voting power he has now. (That voting power, of course, was substantially diluted thanks to selling billions of dollars of Tesla shares to fund his takeover of now-X, then-Twitter.)
While it’s unlikely that Musk would be able to break off the robots and AI initiatives that literally power Tesla, the threat is enough to spook investors given Musk’s obvious willingness to pursue major projects outside of Tesla (e.g. SpaceX) — and the high valuation those projects can get from investors — not to mention the amount of time and energy Musk spends on them.
You can see the implicit value investors place on Tesla’s (and Musks’s) ability to spin up new businesses not just in Tesla’s high stock price and overall valuation — around $650 billion, compared to $270 billion for Toyota and $50 billion for GM, both of which sell many, many more cars— but also in how investors value Tesla’s earnings.
Tesla’s price-to-earnings ratio, which is essentially the stock price divided by the earnings per share, is around 60, comparable to Amazon or the enterprise software company Workday, companies investors buy for their future growth or profit potential derived from selling software on a subscription basis. Plus, there’s a market mania for anything AI related, as one can see with Nvidia, which makes the chips used by many companies with AI products (including Tesla) and has gained several hundred billion dollars in market capitalization in the last year. One can also see this with Microsoft, whose OpenAI stake only gets more valuable, company drama notwithstanding.
Stolid GM, by contrast, trades at four times earnings, while Toyota is around 10.
While some of this difference can be attributed to the higher prices Tesla is able to charge for its vehicles, that can only account for so much — Tesla’s best-selling cars are its lower-end vehicles, and again, it’s been aggressively cutting prices. And while luxury automakers have higher valuations than mass market car companies, Tesla still trades higher than luxury automakers including Porsche, Ferrari, and BMW.
Jonas said in his note that his high valuation for the company “is highly dependent upon Tesla accruing value as an AI enabler,” and that “any change of organizational or legal structure that impedes Tesla’s ability to participate in the development of AI could be detrimental.”
And Jonas isn’t the only analyst who sees a substantial portion of Tesla’s value being made up of something beyond its current electric vehicle business. “A key to our bullish thesis that all AI initiatives be kept within Tesla,” Wedbush Securities analyst Dan Ives wrote in a note last week. “If Musk ultimately went down the path to create his own company (separate from Tesla) for his next generation AI projects this would clearly be a big negative for the Tesla story.”
Even if Tesla reports a disappointing outlook for its electric vehicles business with its fourth quarter earnings on Wednesday, expect analysts and investors to be interested in what Tesla isn’t doing yet but could be doing in the future — as long as Musk is still there.
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The spinoff of Lawrence Livermore National Lab has a new 10-point plan to get onto the grid by the 2030s.
One of fusion energy’s newest startups, Inertia Enterprises, is betting that the fastest route to commercial fusion runs through one of the field’s oldest ideas. The company, which raised a $450 million Series A earlier this year, plans to build a power plant based on the laser-driven fusion system pioneered at Lawrence Livermore National Laboratory’s — the only tech yet to have produced more energy from a fusion reaction than it took to initiate it. Now, Inertia has shared its commercialization roadmap exclusively with Heatmap, detailing the 10 near-term capabilities it must demonstrate before this landmark experiment can become a grid-scale power plant by the mid-2030s.
The roadmap offers a route from the national lab’s impressive but commercially impractical fusion demonstrations to an economical power plant capable of producing electricity for the grid. At its core are a set of milestones — mostly aimed at developing cheap, mass-manufacturable components — that Inertia says it must clear before those individual systems can be integrated into a working plant. This road is not necessarily linear, however, as various teams will likely be working on many of these goals simultaneously.
At least the physics of Inertia’s approach are already proven, the startup’s CEO Jeff Lawson told me, pointing to the fusion experiments at Lawrence Livermore’s National Ignition Facility as a proof-of-concept. The lab’s demonstration of net energy gain caps more than six decades and $30 billion (in 2026 dollars) of U.S. fusion research. The remaining challenges, he argued, are all engineering-related, requiring “elbow grease, hard work, and smart people” rather than breakthroughs in fusion science.
"It seems to us like a startup or a commercial company of any variety should be focused on commercializing a proven scientific result, as opposed to actually trying to demonstrate the basic science to begin with," Lawson told me. Basic science, he argues, is better left to national labs and universities, where researchers can pursue "unbounded problems" that don’t align with the expectations and timelines of venture-backed startups.
Indeed, no fusion startup has yet achieved scientific breakeven, the milestone Lawrence Livermore first hit in 2022, and has since repeated numerous times. But leading players such as Commonwealth Fusion Systems and Helion Energy maintain that it’s only a matter of time before they validate the physics behind their own reactor designs, which they claim will be highly cost-competitive.
Lawson, on the other hand, readily acknowledged that Lawrence Livermore’s tech is uneconomical in its current form. His bet is simply that the more predictable path to a commercial reactor is to drive down the cost of the lab’s validated fusion approach, known as inertial confinement. This system relies on high-powered lasers firing at a millimeter-scale pellet of fusion fuel, compressing it to extreme temperatures and pressures until the atoms fuse. Today, the National Ignition Facility makes each individual fusion target by hand, a workable solution given that it only uses about a dozen per year.
That production model, however, isn’t remotely plausible for a grid-scale power plant. Because each fusion reaction lasts just a fraction of a billionth of a second, a commercial facility must fire its lasers at a fresh target about 10 times per second to generate continuous electricity — requiring the production of hundreds of millions of targets each year.
Scaling production to roughly a million pellets per day and making them inexpensive enough for commercial operation without compromising the strength or precision required for fusion ignition is central to Inertia’s roadmap. That includes goals five, seven, eight and nine — industrializing the manufacturing of the carbon shells that hold the fusion fuel, making the thin films that hold those carbon shells both durable and cheap, scaling up and automating fusion target assembly, and speeding up how fast targets are filled with the requisite deuterium-tritium fuel.
The other central focus of the roadmap is the laser system, which will ultimately consist of 1,000 individual units operating in concert to compress and heat the fusion fuel. Key priorities include reducing the system’s cost (goal two), dramatically increasing its firing cadence (goal three), and bolstering its durability to withstand high-intensity operations (goal four). Goal six also complements these efforts, calling for the development of a control system capable of tracking moving fusion targets to precisely align each laser shot.
Goals one and 10 bookend the journey with some broader milestones. The first focuses on increasing the fusion target’s energy gain — the ratio of fusion energy produced to laser energy delivered — to more than 25 times ignition. Today, the National Ignition Facility’s best-performing laser shot has yielded a gain of just over four times what it took to start the reaction. Goal 10 then zooms out to the ultimate objective: integrating all these technologies into a commercially viable power plant that can deliver either electricity or industrial heat to end customers.
To reach that point, Inertia has embarked on an industrial engineering hiring spree, recruiting folks with experience taking complex hardware systems from prototype to mass production, “not unlike the processes that are used in the semiconductor or consumer electronics world,” Lawson explained. The company has been making progress on its component development goals since the beginning of the year, he told me, and expects to announce the successful demonstration of a few of these milestones in the coming months. Lawson ultimately expects Inertia to complete the core components of its laser and target manufacturing systems by the middle of next year.
The team will spend the next two to three years integrating these individual pieces into two fully operational subsystems, a prototype laser system and a target manufacturing line. Around 2030, the company will begin combining those subsystems into a first-of-a-kind fusion power plant, which will also serve as the proving ground for the target chamber, tritium fuel breeding system, and power conversion system that turns fusion heat into electricity. By the middle of the next decade, Inertia aims to be generating power from this first plant, setting the stage for the company to build and connect additional grid-scale commercial power plants.
There are plenty of engineering trade-offs that the company will have to solve for. Take the decision around how to size the target chamber, for example. “If you make it bigger, your walls have an easier time and survive longer, but it’s more expensive. If you make it smaller, your walls have a tougher time because they’re closer to all the heat and energy that the fusion reaction is creating, but now your power plant costs less to build.”
But to Lawson, this represents exactly the type of problem Inertia was built to solve: complex engineering issues that come to the fore once scientists have demonstrated the fundamental physics are sound. He thinks other fusion companies may someday reach this stage, as well — though he’s unwilling to hazard a guess on exactly what approach or startup is best positioned to do so.
“There have been generations of scientists who’ve made their predictions about fusion energy and gotten it wrong,” he told me. “I’m not going to pretend to be smarter than them. All I’m here to say is, just knowing that one did work, we can commercialize it.”