Morgan Stanley just put a striking number on Tesla's autonomous trucking ambitions. In a new analyst note, the firm projects that each Tesla Semi running autonomous software could generate between $12,000 and $18,000 in monthly subscription revenue — a figure that dwarfs what Tesla currently earns from FSD on consumer vehicles. Here's what's behind the math, and what it would take to get there.
Where does the $12,000–$18,000 per month figure come from?
Morgan Stanley's math is straightforward: a subscription fee of $0.85 to $1.00 per mile, multiplied by 18,000 miles driven per month per truck. At the low end ($0.85 × 18,000), that's $15,300. The $12K–$18K range reflects variability in both the per-mile rate and actual monthly mileage. According to the analyst note shared by Sawyer Merritt, these are projections based on assumed commercial utilization rates for long-haul trucking.
How does that compare to what Tesla earns from FSD today?
The contrast is stark. FSD (Supervised) for consumer vehicles currently runs $99 per month — Morgan Stanley rounds this to approximately $100 in their note. A single autonomous Semi subscription would therefore generate roughly 120 to 180 times more monthly software revenue than one consumer FSD subscriber. The core reason is utilization: a commercial truck covering 18,000 miles a month simply logs far more miles than a personal vehicle, and the per-mile pricing model captures that directly.
What's the long-term revenue scenario Morgan Stanley is modeling?
According to the research note, if Tesla deploys 82,000 Semi trucks by 2040 — representing a 13.5% share of the autonomous addressable trucking market — the software revenue alone could reach $17 billion. That deployment scale would also generate approximately $7.5 billion in incremental EBIT. Critically, Morgan Stanley notes these figures exclude revenue from vehicle sales or Tesla's charging infrastructure, meaning the $17 billion is purely a software and services estimate.
When does Morgan Stanley expect Tesla Semi to go fully autonomous?
According to the research, Morgan Stanley anticipates full self-driving capability for the Tesla Semi by 2027. That's a relatively near-term timeline, and it's the linchpin of the entire revenue model — the per-mile subscription fees only apply once the truck can operate without a human driver. Until then, Semi deliveries continue under driver-assisted operation, with no autonomous software subscription revenue attached.
Is 82,000 trucks by 2040 a realistic deployment target?
That's the key assumption worth scrutinizing. Tesla has been ramping Semi production at its Nevada facility, but large-scale commercial deployments are still in early stages as of late 2026. The 82,000-truck figure represents a 13.5% share of the autonomous addressable market — not total trucking, but the slice Morgan Stanley believes will be autonomous by 2040. Whether Tesla can capture that share depends on production capacity, regulatory approval for driverless commercial operation, and competition from other autonomous freight players. The $17 billion figure is a ceiling scenario, not a base case.
What does this mean for Tesla's overall business model?
It reinforces the bull case that Tesla's most valuable long-term revenue stream isn't selling vehicles — it's selling miles. The Semi projection is essentially the commercial trucking version of the same thesis applied to Robotaxi: hardware gets you in the door, but recurring software fees at scale are where the margin lives. If autonomous trucking software can command $0.85–$1.00 per mile, and Tesla can sign long-term fleet contracts with logistics operators, the Semi becomes less of a truck business and more of a software-as-a-service business that happens to move freight.
The 2027 full-autonomy timeline is the date to watch. If Tesla hits it — and secures the regulatory clearances to operate driverless commercially — Morgan Stanley's revenue model starts its clock. Miss it by two or three years, and the 2040 fleet targets become significantly harder to reach.
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Sources & reporting notes
The links below identify the material source records used for this report.
- @SawyerMerritt on X (2026-09-11T14:21:35.000Z) — Direct source
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