Despite his polarizing nature, Elon Musk is, at his core, an optimist. If he were not one, he would never have founded Tesla or SpaceX, or pursued projects such as Neuralink or xAI.

Musk’s optimism was on full display on social media platform X recently, when he shared what could very well be his most optimistic prediction yet.

Robots and humans

The Tesla CEO recently responded to a post from David Scott Patterson, who estimated that all jobs will be replaced by AI and robots easily by 2030. In his post, Patterson noted that if robots are sold at the same rate as vehicles, it could result in an output of 320 million robots per year. 

Musk responded that eventually, intelligent humanoid robots will far exceed the population of humans, and “there will be many robots in industry for every human to provide products & services.” 

Musk is already taking steps to achieve such a future. Tesla’s Optimus humanoid robot is expected to see its first “legion” produced this 2025. During an All-Hands meeting earlier this year, Musk also hinted to Tesla employees that the company will try to produce about 50,000 Optimus robots next year. 

Universal High Income (UHI)

Musk has shared similar sentiments in the past, so it was no surprise that some X users asked the CEO how humans could sustain their lives when robots replace working individuals. To this, Musk responded that a Universal High Income (UHI) would be implemented, which should provide people with the best medical care, food, and transport available.

“There will be universal high income (not merely basic income). Everyone will have the best medical care, food, home, transport and everything else. Sustainable abundance,” Musk wrote in his post. 

Musk’s comment about sustainable abundance seems to be a prevalent theme in his recent optimistic comments. During Tesla’s second quarter earnings call, for example, Musk hinted that his Master Plan Part Four will describe a path towards sustainable abundance in a post-autonomy world.

Tesla looks to be preparing for the potential expansion of the Robotaxi geofence once again, as the company was spotted testing the suite in an area well outside of the Austin service area.

After it first launched the Robotaxi platform on June 22, Tesla has managed to expand its geofence twice, essentially doubling the travel area both times.

The most recent expansion took the size of the geofence from 42 square miles to about 80 square miles, bringing new neighborhoods and regions of the city into the realm of where the driverless vehicles could take passengers.

However, it looks as if Tesla is preparing for its next expansion of the geofence, potentially moving toward a much larger service area that could eclipse 150 square miles.

Over the weekend, one fan noticed a Robotaxi validation vehicle testing in Bee Cave, Texas, which is roughly 25 minutes from the edge of the current geofence:

Tesla spotted doing Robotaxi validation testing in Bee Cave, Texas, about 15 miles west of Austin (20-25 minute drive from current edge of geofence). pic.twitter.com/JCOcoys8SJ

— Sawyer Merritt (@SawyerMerritt) August 23, 2025

Tesla has been testing vehicles in the western suburbs of Austin for some time, and it seems the company is laying some groundwork to push its geofence expansion into Plaid Mode as competition with Waymo continues to be at the forefront of the conversation.

Waymo has been expanding with Tesla for some time, as the pace of expansion for the two companies has been relatively accelerated for the past couple of months.

Tesla’s expansions of the geofence sent a clear message to competitors and doubters, but it is still aiming to keep things safe and not push the envelope too quickly.

The geofence expansion is impressive, but Tesla is also focusing on expanding its vehicle fleet in both Austin and the Bay Area, where it launched a ride-hailing service in July.

Tesla Bay Area autonomous fleet to grow to over 100 units: Elon Musk

Still, safety is the priority at the current time.

“We are being very cautious. We do not want to take any chances, so we are going to go cautiously. But the service areas and the number of vehicles in operation will increase at a hyper-exponential rate,” CEO Elon Musk said during the Q2 Earnings Call.

Elon Musk is taking a firmer stance in the vision vs lidar debate for autonomous driving. In his more recent comments, the CEO is not just stating that using sensors like lidar is unnecessary to achieve self-driving. 

Musk is stating that using lidar actually makes self-driving cars more dangerous. 

Uber CEO’s comments

During a recent interview, Uber CEO Dara Khosrowshahi shared his thoughts on the autonomy race. As per the CEO, he is still inclined to believe that Waymo’s approach, which requires outfitting cars with equipment such as lidar and radar, is necessary to achieve superhuman levels of safety for self-driving cars. 

“Solid state LiDAR is $500. Why not include lidar as well in order to achieve super human safety. All of our partners are using a combination of camera, radar and LiDAR, and I personally think that’s the right solution, but I could be proven wrong,” the Uber CEO noted.

Elon Musk’s rebuttal

In response to the Uber CEO’s comments, Elon Musk stated that lidar and radar, at least based on Tesla’s experience, actually reduce safety instead of improving it. As per the Tesla CEO, there are times when sensors such as lidar and radar disagree with cameras. This creates sensor ambiguity, which, in turn, creates more risk. Musk then noted that Tesla has seen an improvement in safety once the company focused on a vision only approach. 

“Lidar and radar reduce safety due to sensor contention. If lidars/radars disagree with cameras, which one wins? This sensor ambiguity causes increased, not decreased, risk. That’s why Waymos can’t drive on highways. We turned off the radars in Teslas to increase safety. Cameras ftw,’ Musk wrote.

Musk’s comments are quite notable as Tesla was able to launch a dedicated Robotaxi pilot in Austin and the Bay Area using its vision-based autonomous systems. The same is true for FSD, which is quickly becoming notably better than humans in driving.