Tesla and Nvidia Face Washington Scrutiny From Opposite Directions
Nvidia's revenue grew 105.85% to $96.221B while Tesla's FSD subscriptions hit 1.74M — but regulators and a boardroom scandal now set the pace for both Mag 7 stocks.

Why it matters
- Nvidia posted quarterly revenue of $96.221B, up 105.85% year over year, with a 60.4% operating margin.
- Tesla's active FSD subscriptions rose from 1.04M to 1.74M, while operating income fell 55.79%.
- Nvidia stock has fallen 23.24% in a month amid a board review of CEO Jensen Huang; the WSJ reports the board is preparing to oust him.
- Traders put the odds of Tesla Robotaxis launching in California by year-end at just 3.3%.
- Tesla trades near 417 times earnings versus roughly 21 times for Nvidia, per the analysis.
Nvidia posted $96.221 billion in quarterly revenue, up 105.85 percent year over year, while Tesla's revenue slipped 0.17 percent to $28.046 billion — and both companies now sit in Washington's regulatory crosshairs for very different reasons, according to an analysis published by 24/7 Wall St. on November 12, 2026.
The contrast is stark. Nvidia sells every AI chip it can build, with hyperscaler spending (the massive data-center budgets of cloud giants like Microsoft, Amazon and Google) driving growth that its CEO Jensen Huang compressed into three words: "Now, compute is revenue." Tesla, meanwhile, reported flat car sales and a 55.79 percent drop in operating income, pinning its growth story almost entirely on software — specifically its Full Self-Driving (FSD) subscription business.
Since those earnings reports — Tesla's on October 21, Nvidia's on August 26 — two events have reshaped the risk picture for both stocks: a midterm election that produced what the outlet calls a "blue wave," and a governance scandal at Nvidia's highest level.
What Do the Numbers Say About Each Company?
Tesla's software bet is showing real traction. Active FSD subscriptions reached 1.74 million, up from 1.04 million a year earlier, meaning drivers are paying for autonomy at a rapidly accelerating rate. Tesla's chief financial officer put the strategic priority plainly on the earnings call: "FSD continues to be the key driver for demand."
That push is expensive. Research and development spending rose to $2.76 billion, and operating income fell 55.79 percent year over year. With hardware revenue essentially flat, software is the only visible growth engine — and software that drives cars without human input requires something no amount of R&D can buy: government permission.
Nvidia's economics look nothing like Tesla's. The 24/7 Wall St. comparison table highlights the structural gap between the two:
- Growth engine: Tesla depends on Robotaxi and FSD; Nvidia depends on Data Center computing and networking
- Who must approve: Tesla needs country and state regulators; Nvidia needs U.S. export licensing
- Operating margin: Tesla operates at 4.6 percent; Nvidia operates at 60.4 percent
A 60.4 percent operating margin against 4.6 percent captures why investors treat the two companies so differently despite their shared membership in the Magnificent Seven. One converts AI demand directly into profit at extraordinary rates. The other is spending heavily today on a future that regulators may or may not allow.
Why Did the Midterms Change Tesla's Outlook?
The midterm election delivered what the outlet describes as a blue wave, and the consequences for autonomous vehicle policy were immediate. An AV policy expert told Axios that hopes for federal rules overriding state-level restrictions on driverless cars "just became a pipe dream" after the election.
Axios, as cited in the 24/7 Wall St. analysis, noted that Democrats have pointed to safety and labor protections as grounds for maintaining state-level limits on autonomous vehicles. That means Tesla cannot count on a single national framework to replace the patchwork of state rules that currently governs where its Robotaxi service can operate.
Texas adds a specific complication. The state elected a governor who, according to the analysis, once asked Tesla to delay its Austin launch — a direct signal about the political environment surrounding one of Tesla's most visible Robotaxi markets.
Elon Musk named the risk himself on the earnings call, framing government intervention as the only credible obstacle to his expansion plans: **"unless we are stopped by governments."" Prediction markets have priced the difficulty. Traders put the odds of Robotaxis launching in California by year-end at just 3.3 percent — a number that reflects deep skepticism about near-term regulatory approval in the largest U.S. state market.
What Is Happening Inside Nvidia's Boardroom?
Nvidia's regulatory exposure is different in kind. The company has already removed China from its outlook entirely — its guidance excludes any Data Center compute revenue from the Chinese market, which means the export-licensing fight with Washington has, at least financially, been priced out of forward expectations.
The new risk is governance. According to the report, Nvidia's board is looking into Jensen Huang's relationship with Alice Huang, who is affiliated with Megaspeed, an Nvidia customer accused of helping restricted Chinese companies acquire Nvidia chips. The Wall Street Journal, as cited by 24/7 Wall St., reports that the board is preparing to oust Huang.
The market has already rendered its preliminary verdict. Nvidia stock has fallen 23.24 percent in a single month, a decline that coincides with the governance questions rather than with any deterioration in the company's underlying AI demand, which continues to exceed supply.
The alleged connection touches a sensitive nerve: chips that U.S. export controls are designed to keep away from restricted Chinese entities. If a customer relationship near the CEO himself becomes part of that pipeline, the reputational and regulatory stakes extend well beyond one executive's tenure.
What Comes Next for Both Companies?
Two catalysts dominate the near-term outlook, according to the analysis.
For Tesla, the item to watch is EU-wide FSD approval. Musk told investors he "would be surprised if it takes longer than Q1." A European sign-off would open a major market and materially strengthen the software growth narrative that Tesla's flat hardware business cannot provide.
For Nvidia, the question is whether results can meet the $108.0 billion revenue outlook with China excluded from guidance entirely. That figure represents the market's test of whether AI demand is strong enough — and global enough — to absorb the loss of one of the world's largest chip markets.
The analysis also flags a physical constraint: power and shell capacity (the availability of electricity and buildings for data centers) limit how fast Nvidia can ship product, regardless of demand. Supply, not customers, is the binding constraint.
Which Company Carries the Heavier Burden?
The 24/7 Wall St. analysis lands on a clear verdict: Tesla is in the worse position, and the reason is valuation.
Nvidia's problems reduce to one executive and one country — and the country is already excluded from guidance. At roughly 21 times earnings, Nvidia's valuation leaves room for a leadership change without upending the investment case. A new CEO, however disruptive, would inherit a company with 60.4 percent operating margins and demand that still exceeds supply.
Tesla's math is different. Near 417 times earnings, its valuation carries a premium that depends almost entirely on regulators allowing driverless cars to expand. Every state that says no, every federal preemption that fails, and every governor who asks for delays erodes the thesis behind that multiple. A 3.3 percent prediction-market odds figure for a California launch by year-end quantifies exactly how much regulatory risk stands between Tesla and its software future.
The author conditions the judgment: if Europe approves FSD by Q1 and Texas leaves the Austin operation alone, the position would shift. Until then, the analysis holds that Tesla, not Nvidia, carries the heavier regulatory load — precisely because its premium valuation leaves no room for regulators to say no.
For AI-sector investors, the comparison frames a broader point about the two dominant AI trades of this cycle. Chip infrastructure risk is concentrated and quantifiable — an export regime, a board decision, a power grid. Autonomy risk is diffuse and political, spread across fifty states, twenty-seven EU member states, and every governor who owes nothing to Elon Musk.
Source: 247wallst.com
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Senior reporter covering companies, deals and strategy in artificial intelligence and machine learning at AI In Context.
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