Tesla (TSLA): Beyond the EV hype to robotics, energy, and AI
Tracking Tesla meant watching delivery numbers and Musk’s tweets. Not anymore. Tesla has quietly rebuilt itself into an energy company, an AI lab, and a robotics venture, all while continuing to dominate the EV segment it created. The investing thesis has fundamentally changed, and most retail investors haven’t caught up.
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Elon Musk’s latest legal salvo against OpenAI—demanding Sam Altman’s removal and redirecting any damages to the nonprofit—reminds us that Tesla’s CEO operates across multiple fronts simultaneously. But whilst Musk battles over AI governance in court, Tesla itself has quietly evolved from “electric car company” into something far more complex: an energy storage provider, an AI infrastructure play, a robotics venture, and yes, still an automotive manufacturer.
The lawsuit underscores Musk’s obsession with artificial intelligence, which now permeates Tesla’s entire strategy—from Full Self-Driving to the Optimus humanoid robot to the Dojo supercomputer. For investors, the question isn’t whether Tesla makes excellent electric vehicles (it does), but whether the market correctly values its expanding portfolio of moonshots alongside a maturing core business facing stiffer competition. This article examines Tesla’s evolving revenue mix, the AI infrastructure it’s building, its underappreciated energy business, and the risks of betting on Musk’s vision.
🧩 Business model 2.0: Vehicles, energy, and the AI foundation
Tesla’s revenues now come from three main engines, not just selling electric cars.
Automotive
The core business still dominates, though revenue in 2025 came in at mid-$90 billion and actually declined slightly versus 2024, per public data aggregators—not the growth some earlier estimates suggested. Full Self-Driving (FSD) subscriptions have scaled meaningfully, with monthly subscriptions priced at $99 and one-time purchases at $8,000. Tesla delivered approximately 1.64 million vehicles globally in 2025, per Tesla’s own production and deliveries release, down from 2024 as the company navigated model transitions and intensifying competition, particularly from Chinese manufacturers like BYD. Average selling prices have compressed as Tesla cut prices to defend market share, creating margin pressure that FSD revenue only partially offsets.
Energy Generation and Storage
This segment has become one of Tesla’s standout stories. Tesla generated approximately $12.8 billion in energy storage revenue in 2025, up roughly 27% year-over-year, with 46.7 GWh deployed—nearly double the prior year’s volumes, per TechCrunch and Tesla’s own disclosures. Gross margins on energy storage reached approximately 28–29% in Q4 2025, meaningfully above automotive margins. Tesla expanded Megapack production at its dedicated Lathrop, California, facility, and major utility contracts across California, Texas, and Australia demonstrate broad traction. Residential Powerwall demand continues to surge during grid instability events.
Services and Other
At roughly low-teens billions annually, this segment includes vehicle servicing, merchandise, and insurance, and has grown substantially beyond the $8 billion range cited in some earlier estimates, per aggregated 2025 disclosures. Tesla Insurance, now available across multiple US states, leverages telematics data from vehicles to price policies based on actual driving behaviour. The company claims 20–30% lower premiums than traditional insurers for safe drivers, maintaining healthier loss ratios because better data reduces adverse selection. As the fleet ages and expands, service revenue becomes more predictable and higher-margin.
In other words, “Tesla” is now a company where automotive remains the largest segment but is actively shrinking as a share of revenue, with energy and services growing fast enough that the traditional EV framing increasingly misses the picture.
🌪️ EV market maturation as a headwind: Slower growth, fiercer competition
The electric vehicle market’s transition from explosive growth to measured expansion creates both challenges and opportunities for Tesla’s positioning.
Slowing adoption curves
US EV market share reached approximately 12% in 2025, up from around 9% in 2024, though growth decelerated as early adopters saturated and mainstream buyers proved more price-sensitive, per various industry estimates (values vary slightly by data provider). Federal tax credit eligibility changes and political headwinds in certain states added uncertainty. Europe showed similar patterns, with EV share around 25% but growth moderating. China—accounting for roughly 60% of global EV sales, per industry estimates—saw domestic brands capture approximately 70% of the market, leaving foreign manufacturers fighting for scraps.
Competitive intensity
Legacy automakers finally delivered credible electric vehicles at scale. General Motors’ Equinox EV starts in the mid-$30,000s before incentives, competing directly with Tesla’s Model 3, whilst Hyundai’s Ioniq range offers competitive range and faster charging. Rivian and Lucid target the premium segment that Tesla once owned exclusively. Chinese manufacturers like BYD, Nio, and XPeng combine lower costs with increasingly sophisticated technology, and several now eye Western markets. Tesla’s first-mover advantage erodes as charging infrastructure becomes ubiquitous and brand cachet matters less than total cost of ownership.
Price war dynamics
Tesla initiated multiple price cuts throughout 2024 and 2025, reducing Model 3 and Model Y prices by double-digit percentages across many key markets to maintain volume. Competitors matched these cuts, triggering a margin-compressing cycle. Tesla’s manufacturing efficiency—particularly at Gigafactory Shanghai—allows profitability at lower price points than most competitors. Still, operating margins fell from the low-teens in 2022 to around 10% in 2025, per available disclosures.
For a firm that monetises manufacturing scale and software leverage, market maturation usually means defending share through price whilst building higher-margin revenue streams elsewhere—precisely Tesla’s current strategy.
🤖 AI everywhere: From FSD to Optimus to Dojo
Tesla is not just benefiting from AI hype—it is deploying artificial intelligence across its entire operational stack.
Full Self-Driving and beyond
FSD represents Tesla’s most tangible AI product. Tesla is rolling out new iterations of FSD (often referred to internally as v12/v13). As of early 2026, broader public deployment and validation of the latest versions are still underway, per Electrek. Tesla’s fleet of vehicles generates billions of miles of real-world driving data, creating a data advantage competitors cannot easily replicate. Musk has projected that “unsupervised” FSD—where vehicles operate without driver attention—will reach regulatory approval in Texas and California by late 2026, enabling a robotaxi network. This should be treated as a forward-looking claim; Musk has repeatedly set and missed similar autonomy timelines since 2016, per Wikipedia’s documented history of his predictions. Independent analysts estimate the FSD take rate at around 15% of new deliveries, though Tesla does not report this as a standalone metric.
Optimus humanoid robot
Tesla’s Optimus project targets general-purpose robotics for manufacturing and eventually domestic applications. Tesla has demonstrated increasingly capable prototypes—including recent demos showing improved dexterity and object-handling—while Musk has stated plans to deploy Optimus in Tesla factories by late 2026, before commercialising externally. These remain planned timelines rather than achieved operational deployments. The addressable market for humanoid robots could dwarf automotive if execution succeeds—McKinsey estimates a $400 billion market by 2035—but technical and regulatory hurdles remain immense. Tesla’s advantage lies in battery technology, electric motors, and AI training infrastructure, all of which are transferable from automotive.
Dojo supercomputer
Tesla’s custom-designed AI training computer represents vertical integration at the silicon level. Dojo uses proprietary D1 chips optimised for neural network training. Tesla has stated targets of up to 100 exaflops of compute capacity and has committed billions in planned AI capex—though these represent internal goals rather than audited outcomes, per Tesla’s own communications. Beyond internal use, Tesla has floated offering Dojo as a service, creating another potential revenue stream, though details remain speculative.
For Tesla, AI is both a competitive positioning point and a tangible feature set that justifies higher vehicle prices, enables new business models, and opens entirely new markets beyond automotive.
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🕵️♀️ Energy storage: An under-the-radar growth engine
One of Tesla’s fastest-growing franchises sits far away from the automotive showroom.
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