Tesla has the makings of a controversial stock. It’s a company with products that are loved by its users and hated by its skeptics, and it’s led by a man that’s both admired by his supporters and loathed by his critics. It was then no surprise when Tesla became one of the most-shorted companies in the market. But amidst Tesla’s rise last year and the release of its Q1 2021 vehicle production and delivery report, it appears that TSLA bears, or at least a good number of them, are starting to go extinct.
A good overview of how a company is perceived could be found in the overall stance of analysts covering the stock. Among the 41 analysts covering TSLA today, 15 have a “Buy” rating, 14 maintain a “Hold” rating, and 12 have a “Sell” rating, as per data from Bloomberg. This suggests that Tesla remains quite polarizing, as Buy ratings typically outnumber Sell ratings 10-to-1 for stocks in the Dow Jones Industrial Average.
Tesla (TSLA) sets new records with with 184k vehicle deliveries in Q1 2021
The same is true for TSLA’s price targets. Tesla’s bull-bear spread between its highest price target ($1,036) and its lowest ($135) stands at $901, or about 133% of the current $661.75 stock price. In the Dow Jones Industrial Average, the average bull-bear spread for stocks is less than 50%. While Tesla has maintained its polarizing nature in the market, however, there is one metric that suggests that a TSLA bear exodus is taking place.
There was a time not too long ago when Tesla’s short-interest ratio was about 25%, which meant that one in every four shares was borrowed and sold by investors betting on the company to fail. Such a short-interest ratio was insane, as the average for stocks in the S&P 500 is just about 3%. Today, this ratio stands at just about 6%, which is still higher than average but significantly lower than its figures three years ago.
As noted in a Barron’s report, there is an important mitigating factor in Tesla’s short-interest ratio, in the form of hundreds of millions in convertible bonds outstanding, most of which were issued long ago and are capable of being converted into TSLA stock at around $65 per share. Considering that Tesla stock is worth more than 10x that amount today, the convertible bonds have rallied over 500% over the past year.

While this is great for convertible bond holders, numerous bond investors are actually not interested in Tesla stock. Instead, some are convertible arbitrage investors, who buy convertible bonds and short the underlying stock. This way, the arbitrage trader is able to lock in a notable bond yield. S3 Partners managing director of predictive analytics Ihor Dusaniwsky has noted that the bonds are “mostly held by hedge funds.” He also estimates that about half of Tesla’s current short interest might be part of a convertible arbitrage strategy.
If the S3 Partners’ executive’s estimates are accurate, it would suggest that about 22 million Tesla shares are sold short, or about 2.9% of TSLA stock. This number is substantial, but it is small compared to the 200 million TSLA shares sold short back in 2019. This does not mean to say that Tesla bears have entirely given up, of course, as some will likely remain with their short position for a long time to come. However, the declining number of TSLA shares that are sold short does suggest that bears, or at least a good number of them, may be throwing in the towel.
Former Goldman Sachs Asset Management CIO Gary Black has noted that the declining number of TSLA bears may be due to the fact that some critical bearish arguments against Tesla are being soundly debunked. One of these is the notion that Tesla’s share of the EV market will get drastically smaller as soon as other automakers enter the electric car segment. Despite the noise by proponents of this thesis, the opposite has been true, as more and more car buyers tend to leave gas-powered vehicles–not other electric cars like Tesla–when they purchase EVs made by other automakers.
Disclaimer: I am long TSLA
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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.
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.
Correction, 10 million robots https://t.co/0z4nyQNTzp
— Ashok Elluswamy (@aelluswamy) July 30, 2026
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.
News
Autonomous vehicle red tape gets slashed by Trump Administration
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:
- 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. - 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. - 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. - 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). - 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.
Elon Musk
Elon Musk has a crazy prediction about AI in two years
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.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
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:
The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
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.

