TSLA351.12014.25%
GM84.9601.25%
F14.4900.56%
RIVN15.7300.95%
CYD43.440-2.19%
HMC31.910-0.04%
TM188.7800.53%
CVNA70.4805.48%
PAG217.8601.65%
LAD371.51014.96%
AN200.5203.62%
GPI263.87013.86%
ABG212.9409%
SAH78.8601.55%
TSLA351.12014.25%
GM84.9601.25%
F14.4900.56%
RIVN15.7300.95%
CYD43.440-2.19%
HMC31.910-0.04%
TM188.7800.53%
CVNA70.4805.48%
PAG217.8601.65%
LAD371.51014.96%
AN200.5203.62%
GPI263.87013.86%
ABG212.9409%
SAH78.8601.55%
TSLA351.12014.25%
GM84.9601.25%
F14.4900.56%
RIVN15.7300.95%
CYD43.440-2.19%
HMC31.910-0.04%
TM188.7800.53%
CVNA70.4805.48%
PAG217.8601.65%
LAD371.51014.96%
AN200.5203.62%
GPI263.87013.86%
ABG212.9409%
SAH78.8601.55%


Lauren Fix on Trump’s AI push and the future of robotaxis

President Trump signed an executive order in January aimed at accelerating AI development. Some believe that this will open doors to exponential growth, while others are concerned about the breakneck pace of the change without adequate guardrails. In today’s episode of CBT Now, Lauren Fix, automotive expert and founder of Car Coach Reports, shares her perspective and how it could impact the automotive industry.

Executive Order 14179, called “Removing Barriers to American Leadership in Artificial Intelligence,” revokes previous directives from the Biden administration to accelerate innovation and support building the necessary infrastructure to push America to the forefront of the AI race. Fix explains that while removing the barriers will accelerate the speed at which AI can be developed, the heart of the issue is that there aren’t any comprehensive federally established regulations.

Sign up for CBT News’ daily newsletter and get the latest industry stories delivered straight to your inbox.

Autonomous vehicles and artificial intelligence go hand in hand, but there are significant limitations. While AI can operate a car, it can’t account for the everyday nuances that a human driver sees, such as a pileup on the road, emergency vehicles requiring lane changes or temporary construction that hasn’t been reported. AI may struggle to adapt to weather conditions such as sandstorms, heavy rain or snow.

Fix recounts her experience taking a robotaxi ride in San Francisco. Initially, the trip was smooth, but it became complicated when it started raining. The vehicle pulled over, activated its emergency lights and displayed a message indicating that a human Uber driver would arrive to take over. While the experience was safe, it highlights that current AI systems cannot yet handle unpredictable real-world conditions independently.

Liability and insurance present another challenge. If a robotaxi is involved in an accident, determining fault is complicated. It could affect the passenger, the manufacturer, the software provider or even third-party services. This ambiguity creates headaches for insurance companies and reinsurers.

Security concerns are also a pressing issue. Hackers have already targeted vehicles such as Teslas and Jeeps, and the vulnerabilities extend to connected devices such as smartphones linked to the vehicle. Fix says that there needs to be more robust cybersecurity measures before autonomous robotaxis can become mainstream.

"Unless every single vehicle on the road is autonomous, that's the only way it's gonna work. Even if you started the transition today, 20, 30 years from now, you're still going to have cars on the road that people are driving, and people make mistakes and so computers."
 

While robotaxis offer some advantages, such as mobility solutions for those who may not be able to drive, they’re still not developed enough to operate fully autonomously.

The Society of Automotive Engineers has redefined automation levels, moving from five levels to six, to categorize better what vehicles can do. Most brands are still at Level 2, which includes partial automation features like lane-keeping and adaptive cruise control. Only a few, like Mercedes-Benz, are testing Level 3 automation, where the vehicle can handle more complex scenarios. Still, full Level 5 autonomous driving remains experimental and primarily confined to controlled environments like campuses or test tracks.

Fix concludes that the industry should focus on improving driver safety and fostering human expertise on the road while using AI as a supportive tool, not a replacement.

Read More
 


More from EVs & Technology
Ferrari's first EV sells for $40 million, 62 times its sticker price

Ferrari’s first EV sells for $40 million, 62 times its sticker price

- August 17, 2026
On the Dash: Ferrari's first production EV sold for $40 million, about 62 times its sticker price Buyer Herbert Wertheim also paid $26 million for a Tailor Made Daytona SP3...
Cox Automotive report finds dealers use AI widely, results still lag expectations

Cox Automotive report finds dealers use AI widely, results still lag expectations

- August 14, 2026
On the Dash: Focus AI investments on measurable dealership needs, not adoption for its own sake. Prepare teams for shoppers who are using AI before they reach the showroom. Build...
Inside GM's $4.5B strategy to bulletproof its automotive supply chain

Inside GM’s $4.5B strategy to bulletproof its automotive supply chain

- August 14, 2026
Welcome back to the latest episode of The Future of Automotive on CBT News, where we put recent automotive and mobility news into the context of the broader themes impacting the industry. I’m...
GM, LG battery plant to restart EV cell production after seven-month shutdown

GM, LG battery plant to restart EV cell production after seven-month shutdown

- August 13, 2026
On the Dash: GM's Ohio battery plant is returning to production after a seven-month pause tied to weaker EV demand. The restart will bring back most laid-off workers, restoring total...
CBT News
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.