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Tesla Opens Orders for a Steering-Wheel-Less Cybercab at $29,990

Tesla is taking invitation-only orders for the steering-wheel-free Cybercab at $29,990 plus a mandatory $299/month subscription, with Austin deliveries slated for December 2026.

Tesla Just Started Taking Orders for a Car With No Steering Wheel
Tesla Just Started Taking Orders for a Car With No Steering WheelToby_Parsons / pixabay
By Sophie Lindqvist4 min read

Why it matters

  • Tesla prices the Cybercab at $29,990 plus a mandatory $299-a-month Autonomy Subscription, pre-checked on the order page.
  • Invitation-only orders opened Friday, November 13, 2026, via Tesla's Robotaxi account on X; first deliveries are estimated for December 2026 in Austin.
  • The subscription costs $3,588 a year and $47,631 over five years, and the car will not run without it.
  • NHTSA's September Special Order questions Tesla's self-certification under FMVSS 135, with penalties up to about $139 million for incomplete answers.
  • TSLA trades at more than 400 times trailing earnings with a 4.59% operating margin; the next checkpoint is the December 3, 2026 shareholder meeting.

Tesla has started taking invitation-only orders for the Cybercab, a two-seat car with no steering wheel or pedals, at $29,990 before taxes — plus a mandatory $299-a-month Autonomy Subscription that comes pre-checked on the order page with the first month included. The move keeps Elon Musk's 2024 promise to price the vehicle below $30,000, and it turns what looks like a one-time car purchase into a recurring service Tesla controls.

The launch happened quietly. On the evening of Friday, November 13, 2026, Tesla's official Robotaxi account on X posted screenshots of the order page and an invitation email, inviting select customers to order the car for personal use. Orders are invitation-only, and buyers pay a non-refundable deposit.

The hardware itself is deliberately minimal. The Cybercab seats two, has a 21-inch center touchscreen and 20.1 cubic feet of cargo space, and owners manage rides entirely through an app.

The stock barely flinched. Tesla closed November 13 at $390.22, down 1.82%, with a market cap of roughly $1.54 trillion; at 7:59 p.m. ET it was quoted at $387.16, off 0.78%. Markets reopen Monday, November 16, when shareholders can weigh what a subscription-tethered personal car means for Tesla's revenue mix.

What does the subscription actually buy?

The fine print reads plainly: "Subscription and regular vehicle maintenance required to operate." The invitation email adds that the car works only in supported service areas, and Tesla estimates first deliveries in December 2026 in Austin, Texas.

Screenshots of the subscription agreement show what the $299 covers:

  • Autonomous driving
  • Connectivity
  • Remote support
  • Roadside assistance and towing up to about 50 miles
  • Tires, windshields, cabin filters and camera cleaning

The owner still pays for insurance, registration, charging, parking and cleaning. The plan renews monthly and can be cancelled at any time — but the car will not run without it. The vehicle operates only inside Robotaxi geofences, the mapped zones Tesla defines, and Tesla can expand, shrink or move those zones. It promises a month's notice before changing the subscription price.

Run the numbers and the sticker price understates the real cost. The subscription comes to $3,588 a year and $47,631 over five years, before insurance, taxes and charging — meaning the five-year cost of ownership roughly triples the headline price.

How big is this against Tesla's actual business?

The service footprint is narrow. Robotaxi operates in eight cities: Austin, Dallas, Houston, Fort Worth and San Antonio in Texas, plus Miami, Orlando and Tampa in Florida. First deliveries are planned for Austin only.

Tesla has not disclosed how many cars it will sell, so there's no way to size the revenue. For scale, Tesla's Automotive Sales segment brought in $20.094 billion in the third quarter alone — a small Austin launch barely registers against that.

Selling to individuals also cuts against management's own framing. On the October 21 earnings call, Musk said: "The vast majority of the Cybercab fleet will essentially be Tesla-owned and transport as a service."

The subscription explains why Tesla bothers. Recurring software revenue likely earns better margins than a one-time car sale, and it gives Tesla continuing control of the customer relationship after delivery.

Why hasn't NHTSA approved the design?

Regulatory risk hangs over the whole program. In September, NHTSA issued a Special Order noting the car lacks a required foot-operated brake control. The order requires Tesla to explain, under oath, how it self-certified a vehicle missing the control mandated by FMVSS 135, the federal brake standard. NHTSA also asked about the turn-signal and mirror standards, and incomplete answers carry penalties of up to about $139 million.

Tesla answered by the October 30 deadline and asked NHTSA to keep its entire response confidential. NHTSA has not decided.

The compliance paths diverge sharply across the industry. Zoox pursued a Part 555 exemption, which caps it at 2,500 vehicles a year; Tesla avoided that cap by self-certifying. If NHTSA rules against Tesla, deliveries would be at risk.

What could change the outlook for TSLA?

Tesla's valuation leaves little room for error. The stock trades at more than 400 times trailing earnings with a 4.59% operating margin, so the price already assumes autonomy works at scale. An invite-only Austin launch of a design NHTSA is still questioning adds little to that case — especially when Tesla also keeps control of the price, the map and whether the car runs at all.

The picture changes if NHTSA closes its inquiry without a recall and Austin owners get their cars in December 2026. Both questions could get answers at Tesla's annual shareholder meeting on December 3, 2026, which is now the next hard date to watch for whether the Cybercab program clears its two remaining hurdles.

Source: 247wallst.com

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Sophie Lindqvist

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Staff writer covering regulation, policy and their impact on artificial intelligence and machine learning at AI In Context.

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