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What comes next for Tesla Autopilot and autonomous driving systems?

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Tesla v7.1 enhanced Autopilot visualization

The world seems to have oddly realized for the very first time that driving assist systems are still in its infancy stages and haven’t seen the decades of iterations that other technology platforms have had. As to why people have entrusted so much of their safety and lives to the word “autopilot”, going as far as shamelessly playing mahjongg on the internet while behind the wheel, checking their e-mail, and brazenly hopping away from the driver’s seat while their two-ton Autopilot-enabled Tesla drives on its own, goes beyond me.

And it’s because of this lack of human judgment that the statistically inevitable fatal accident behind the wheel of a Tesla may have arrived before its time.

Certainly Elon Musk and Tesla Motors have taken great pains to inform drivers they must remain in control of the car at all times when Autopilot is active. A message on the vehicle’s instrument cluster and warning chime reminds us of this. So why is there such a disconnect between what the system is capable of and what people’s expectations are?

“Everyone in the autonomous vehicle industry understands consumer over-trust is a significant problem,” says John Maddox, CEO of the American Center for Mobility. It is a proposed proving ground for connected and automated vehicles that is under development on 335 acres at Willow Run in Michigan. “No one has an answer to that problem yet, to be perfectly blunt. It’s human nature that when we’re bored with a given task we find something else to occupy our minds. There are ways the industry can look at to maintain driver interest,” Maddox says via USA Today.

Michigan wants to be at the forefront of development for autonomous driving systems and connected cars. “These technologies will be significantly better when the vehicles can ‘talk’ to each other and to signals in traffic lights and elsewhere,” says Kirk Steudle, director of the Michigan Department of Transportation. MDOT is working with General Motors, Ford, and the University of Michigan to deploy vehicle-to-infrastructure communication technology on more than 120 miles of metro Detroit roadway.

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But the infrastructure to support connected car technology is still decades away. Those 120 miles of roads in Detroit are a minuscule proportion the millions of miles of roads in the US.

In the meantime, drivers need to be better educated about what systems like Tesla’s Autopilot can and cannot do.

In the wake of Joshua Brown’s fatality, the NHTSA is expected to issue its first set of regulations for semi-autonomous cars in the fall of this year. The Senate Commerce Committee has decided the highest and best use of taxpayer dollars is to launch its own investigation. Its chairman, John Thune, Republican of South Dakota, has sent a request to Tesla to come and tell the committee what it is doing to prevent more fatal accidents. Apparently, Senator Thune thinks the members of his committee must weigh in on this issue while the headlines are there to be had, rather than waiting for NHTSA and NTSB to finish their investigations.

“An informed consumer is the best consumer,” MDOT’s Steudle said. “They really need to understand the limitations of what the technology can do currently. There’s a lot of information out there about where it can take us. But it’s not there yet.”

Strategies to reduce driver expectations might be a wise course of action for Tesla to follow at this juncture.

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Investor's Corner

Barclays lifts Tesla price target ahead of Q3 earnings amid AI momentum

Analyst Dan Levy adjusted his price target for TSLA stock from $275 to $350, while maintaining an “Equal Weight” rating for the EV maker.

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Credit: Tesla China

Barclays has raised its price target for Tesla stock (NASDAQ: TSLA), with the firm’s analysts stating that the electric vehicle maker is approaching its Q3 earnings with two contrasting “stories.” 

Analyst Dan Levy adjusted his price target for TSLA stock from $275 to $350, while maintaining an “Equal Weight” rating for the EV maker.

Tesla’s AI and autonomy narrative

Levy told investors that Tesla’s “accelerating autonomous and AI narrative,” amplified by CEO Elon Musk’s proposed compensation package, is energizing market sentiment. The analyst stated that expectations for a Q3 earnings-per-share beat are supported by improved vehicle delivery volumes and stronger-than-expected gross margins, as noted in a TipRanks report.

Tesla has been increasingly positioning itself as an AI-driven company, with Elon Musk frequently emphasizing the long-term potential of its Full Self-Driving (FSD) software and products like Optimus, both of which are heavily driven by AI. The company’s AI focus has also drawn the support of key companies like Nvidia, one of the world’s largest companies today.

Still cautious on TSLA

Despite bullish AI sentiments, Barclays maintained its caution on Tesla’s underlying business metrics. Levy described the firm’s stance as “leaning neutral to slightly negative” heading into the Q3 earnings call, citing concerns about near-term fundamentals of the electric vehicle maker.

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Barclays is not the only firm that has expressed its concerns about TSLA stock recently. As per previous reports, BNP Paribas Exane also shared an “Underperform” rating on the company due to its two biggest products, the Robotaxi and Optimus, still generating “zero sales today, yet inform ~75% of our ~$1.02 trillion price target.” BNP Paribas, however, also estimated that Tesla will have an estimated 525,000 active Robotaxis by 2030, 17 million cumulative Optimus robot deliveries by 2040, and more than 11 million FSD subscriptions by 2030.

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BNP Paribas Exane initiates Tesla coverage with “Underperform” rating

The firm’s projections for Tesla still include an estimated 525,000 active Robotaxis by 2030.

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Credit: Tesla China

Tesla (NASDAQ: TSLA) has received a bearish call from BNP Paribas Exane, which initiated coverage on the stock with an Underperform rating and a $307 price target, about 30% below current levels. 

The firm’s analysts argued that Tesla’s valuation is driven heavily by artificial intelligence ventures such as the Robotaxi and Optimus, which are both still not producing any sales today.

Tesla’s valuation

In its note, BNP Paribas Exane stated that Tesla’s two AI-led programs, the Robotaxi and Optimus robots, generate “zero sales today, yet inform ~75% of our ~$1.02 trillion price target.” The research firm’s model projected a maximum bull-case valuation of $2.7 trillion through 2040, but after discounting milestone probabilities, its base-case valuation remained at $1.02 trillion.

The analysts described their outlook as optimistic toward Tesla’s AI ventures but cautioned that the stock’s “unfavorable risk/reward is clear,” adding that consensus earnings expectations for 2026 remain too high. Tesla’s market cap currently stands around $1.44 trillion with a trailing twelve-month revenue of $92.7 billion, which BNP Paribas argued does not justify Tesla’s P/E ratio of 258.59, as noted in an Investing.com report.

Tesla and its peers

BNP Paribas Exane’s report also included a comparative study of the “Magnificent Seven,” finding Tesla’s current market valuation as rather aggressive. “Our unique comparative analysis of the ‘Mag 7’ reveals the extreme nature of TSLA’s valuation, as the market implicitly says TSLA’s 2035 earnings (~55% of which will be driven by Robotaxi & Optimus, w/ zero sales now) have the same level of risk & value-appropriation as the ‘Mag 6’s’ 2026 earnings,” the firm noted.

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The firm’s projections for Tesla include an estimated 525,000 active Robotaxis by 2030, 17 million cumulative Optimus robot deliveries by 2040 priced above $20,000 each, and more than 11 million Full Self-Driving subscriptions by 2030. Interestingly enough, these seem to be rather optimistic projections for one of the electric vehicle maker’s more bearish estimates today.

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Tesla FSD’s new Mad Max mode is getting rave reviews from users

It does appear that Mad Max mode is destined to be one of the system’s biggest steps forward to date.

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Credit: Whole Mars Catalog/X

Tesla’s release notes for the newly released Mad Max mode for FSD (Supervised) V14.1.2 simply stated that the feature “comes with higher speeds and more frequent lane changes than Hurry.” But as per videos that have been posted online by FSD users who have tested the system, it does appear that Mad Max mode is destined to be one of the system’s biggest steps forward to date. 

It is then no surprise that the new capability is getting rave reviews from Tesla owners. 

Impressive tests

A look at posts on social media platform X would show that, similar to past FSD releases, numerous Tesla content creators immediately tested Mad Max mode on real-world streets after it was downloaded onto their vehicle. Considering that the update was released rather late, the first tests of Mad Max mode were done at night. Despite this, it was evident that Tesla worked very hard to make Mad Max mode into something that is very useful in real-world scenarios.

This could be seen in videos from longtime Tesla owner @BLKMDL3, who observed that Max Max mode was “amazing” and like “perfect for LA traffic” due to its cautious but assertive nature. Later on, the Tesla owner noted that after eight drives, it was evident that FSD (Supervised) V14.1.2 was impressive. 

Assertive but safe

Other testers such as Model Y owner Sawyer Merritt noted that Mad Max mode drives very quickly and confidently, with smoother acceleration that is still very safe. These were echoed by another longtime FSD tester, Dirty Tesla, who noted that Mad Max mode seems to be designed for heavy, aggressive traffic so users could fit in better. The FSD user did, however, observe that Mad Max mode does speed up a lot on open roads. 

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Recent comments from Tesla AI Head Ashok Elluswamy have indicated that Mad Max mode was created to be a solution for daytime congested traffic, which is arguably one of the most soul-crushing experiences that drivers deal with on a daily basis. With this in mind, it does appear that FSD (Supervised) V14.1.2 could prove to be a notable step forward in Tesla’s push towards true autonomous driving.

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