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Tesla Cybertruck dodges competition from an electric Ford F-150 due to pandemic

(Credit: Tesla Cybertruck/Instagram, Ford)

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There was a time when the Tesla Cybertruck seemed to be headed for a head-on collision with Ford’s electric F-150 when the vehicles enter the market. But if recent reports from Ford are any indication, it appears that the Cybertruck may end up losing one of its potential rivals when it begins production late next year.

With the electric pickup truck segment emerging, vehicles like the Tesla Cybertruck, Rivian R1T, Ford F-150 Electric, and the GMC Hummer EV appeared to be set for a rivalry. The market for electric pickups is immense, considering how popular trucks are in the United States. Few electric trucks have been unveiled by automakers so far as well, leaving the segment free for the taking. 

While electric pickups like the Tesla Cybertruck and Rivian R1T were created by companies that are electric from their roots, other vehicles like the Ford F-150 electric and Hummer EV are the products of legacy automakers aiming to break into the electric sphere. Ford, for its part, has taken a significant stake in Rivian, and it has announced its intentions to utilize the EV truckmaker’s tech for its upcoming vehicles. 

(Credit: Tesla Cybertruck/Instagram)

Among these is an all-electric SUV under Ford’s luxury brand, Lincoln. Following this, other electric pickups and SUVs were expected to be released, some of which will be using Rivian’s skateboard platform. Among these is the F-150 electric, a truck that was demonstrated to have enough power to pull a 1 million-pound freight train loaded with other F-150 pickups. 

Unfortunately, Ford has announced to Automotive News that its Rivian-based Lincoln all-electric SUV has been officially canceled. Lincoln did state that it will still be working with Rivian and it will be releasing a vehicle based on the EV company’s skateboard platform, but it would be an “alternative vehicle,” not an EV. 

“Given the current environment, Lincoln and Rivian have decided not to pursue the development of a fully electric vehicle based on Rivian’s skateboard platform. Our strategic commitment to Lincoln, Rivian and electrification remains unchanged and Lincoln’s future plans will include an all-electric vehicle,” a Lincoln spokesperson said

A Ford F-150 EV prototype. (Credit: Ford Motor Company)

Such a development may end up delaying the release of Ford’s all-electric vehicles, including the highly-anticipated F-150 EV. Ford has not disclosed if the all-electric pickup will be using Rivian’s tech or skateboard platform, but such a strategy would not be surprising considering the company’s $500 million investment in the young truck maker last year. 

It is unfortunate, but the delay in the electric Ford F-150 may very well benefit the Tesla Cybertruck. Tesla’s expansion plans have remained relatively unchanged despite the ongoing pandemic, and save for the Semi; the electric car maker has not announced any other significant delays to its upcoming vehicles. The Roadster’s release may be adjusted as well, considering that its initial delivery estimate was set for this year, but that’s a low-volume supercar, with Elon Musk expecting to produce just around 10,000 per year. 

The following year would definitely be critical for the industry’s electric truck makers. Due to the ongoing pandemic, delays in vehicle releases have been announced. Even Rivian, which beat Tesla to the punch in unveiling its electric truck, has announced that R1T and R1S deliveries have been moved to 2021. GM has also revealed that the Hummer EV’s unveiling has been delayed. With the Ford F-150 electric likely moved back, the electric pickup market next year may end up being dominated mainly by the Cybertruck and the R1T, at least depending on Rivian and Tesla’s capability to build and deliver their vehicles. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk

Tesla AI boss reveals how big Optimus is going to get

Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.

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Tesla Optimus Gen 3 [Credit: Tesla]

Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”

The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.

The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.

Tesla Optimus project fires up as Musk sees production line progress

Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.

Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.

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Autonomous vehicle red tape gets slashed by Trump Administration

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Credit: Zoox

The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.

The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.

Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.

There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.

Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:

  1. Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
    This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances.
  2. Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
    This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years.
  3. Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
    This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant.
  4. Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
    By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS).
  5. Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
    NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.

Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:

  • FMVSS 102 – Transmission shifting
  • FMVSS 103/104 – Windshield defrosting and wiping
  • FMVSS 110 – Tire placards
  • FMVSS 135 – Braking systems
  • FMVSS 101 – Controls and displays
  • FMVSS 108 – Vehicle lighting
  • FMVSS 111 – Mirrors and rearview display
  • FMVSS 126 – Electronic stability control systems
  • FMVSS 201/208 – Sun visors and warning labels

These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.

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Elon Musk

Elon Musk has a crazy prediction about AI in two years

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Daniel Oberhaus, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.

Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.

Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.

He believes that in two years, AI will be so mind-blowing it might be unrecognizable.

This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:

This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.

Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.

Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.

But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.

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