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Tesla is ‘very close’ to profitability, says Musk: ‘If we go all out, we will achieve an epic victory’

Credit: Harbles/Twitter]

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As the third quarter trickles down to its final hours, Tesla remains fully determined to power forward and end Q3 on a strong note, delivering as many vehicles as it can to reservation holders. While the delivery figures for the quarter would most likely be impressive, questions remain if Tesla can achieve its other, more ambitious goal this Q3 — profitability. If one of Musk’s recent emails to employees are any indication, it appears that the electric car maker is closing in on this goal as well.

This weekend proved to be eventful for Elon Musk and Tesla. Even before Saturday began, Musk took to Twitter to express his gratitude to the Tesla community for supporting the company, particularly owners who are serving as volunteers on delivery centers. Musk also posted a “Don’t Panic” reminder on his Twitter page, almost seemingly teasing that the threat of the Securities and Exchange Commission’s lawsuit would disappear soon. Sure enough, on Saturday, the SEC announced that Elon Musk had agreed to a settlement.

Just hours after his settlement with the SEC was announced, Elon Musk reportedly sent an email to Tesla’s employees stating that the company is incredibly close to hitting profitability. In his email, a copy of which was obtained by Bloomberg, Musk noted that if Tesla “goes all out” on Sunday,  there is a good chance that the company could achieve an “epic victory.”

“We are very close to achieving profitability and proving the naysayers wrong, but, to be certain, we must execute really well tomorrow (Sunday). If we go all out tomorrow, we will achieve an epic victory beyond all expectations,” Musk wrote.

Considering Musk’s message, it appears that every single delivery completed this Sunday would contribute to Tesla’s profitability for Q3 2018. Tesla is going all-hands on its deliveries, and boosted by volunteers owners who are orienting newcomers with the features and functions of their electric cars; Tesla appears to be closer to its profitability goals than ever before.

Tesla’s profitability has proven to be among the company’s most elusive targets. Over the years, the company’s profits, or lack thereof, has become one of the most notable pillars of the Tesla bear thesis. Back in April, for one, speculations among the electric car maker’s skeptics suggested that Tesla would need to raise $2.5 to $3 billion this year to stay afloat. It was then that Elon Musk announced on Twitter that Tesla would be profitable and cash flow positive in Q3 and Q4, negating the need to raise more capital. Since then, Tesla has been on a dash to achieve its targets one after another, from the Model 3’s 5,000/week production rate at the end of Q2 to the production and delivery of more than 50,000 Model 3 in Q3.

Tesla’s profitability hinges largely on the Model 3, as it is the vehicle that would comprise most of the company’s deliveries this quarter. Fortunately for Tesla, teardowns and analyses of the car by third-party firms have determined that the electric car maker can make a profit on the Model 3. Sandy Munro of Munro and Associates, for one, noted in an Autoline TV segment that the Model 3 ultimately forced him to “eat crow,” as the vehicle proved to be impressive regardless of his initial reservations about the sedan. Munro, who has decades of experience with vehicles, and who has performed a thorough analysis of other electric cars like the BMW i3 and the Chevy Bolt EV, noted that Tesla could make a decent profit with the Long Range RWD Model 3.

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“The Model 3 is profitable. I didn’t think it was gonna happen this way, but the Model 3 is profitable. Over 30%. No electric car is getting 30% net, nobody,” Munro said.

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.

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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 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:

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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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