A $500 million, 2,500 home development project will come to the City of Austin located near Tesla’s Gigafactory Texas as the electric automotive plant is catalyzing employment in the area and bringing on a need for more housing.
Hines, a real estate development company based out of Houston, has plans to develop a $500 million housing community on 1,400 acres. The plot of land will be large enough to have 2,500 new houses and between 1,250 and 2,000 multifamily units. Mirador, the project’s name, will be developed in the southeastern portion of Austin, in a location within close proximity to Tesla’s Gigafactory Texas, as just a fifteen-minute drive will get you to the factory from your front door.
Dustin Davidson, a managing director for Hines, said that the influx of employment opportunities, especially Tesla’s new factory, have surged the market for Austin’s residential real estate. “Lots of employment opportunities coming; Tesla’s obviously the big one, but they’re just one of many, and we believe more will come,” Davidson said to the Austin Business Journal (via KXAN).
Hines announced details of the project on its website:
“Mirador will consist of 2,500 single-family lots, 50 acres of multi-family and townhomes (including attached, detached, duplexes, quadplexes) and 75 acres of commercial land. The development will continue a partnership with Gehan Homes and Lennar Homes, add David Weekley Homes, Highland Homes, MHI Homes, and will bring on more builders to in the future. Conveniently located off the 130 Toll and Highway 71, the community offers a suburban ambiance with easy access to the new Tesla Gigafactory, the Circuit of the Americas Formula One racetrack, as well as all the local restaurants, parks, live music venues and other attractions Austin offers in under 15 minutes. Plus, residents can make use of the convenient on-site amenities, such as the 60-acre lake, over 600-acres of greenbelt, community parks, extensive trails and swimming pool.”
Tesla’s Gigafactory Texas is expected to amend an area weakened by the COVID-19 pandemic. Travis County officials launched a “Declaration of Disaster” in March 2020, and Federal Reserve data showed a 10.2 percent spike in unemployment filings from April 2019 to April 2020. According to a presentation given by Tesla in June 2020, the automaker projected that its new plant would supply “5,000 middle-skill jobs that fit a targeted economic development need” and would directly contribute $600 million in annual sales activity. The factory was also expected to create 4,000 new non-Tesla jobs due to “secondary effects.”
Gigafactory Texas’ most recent estimates have projected at least 15,000 new jobs both directly and indirectly at the plant. As of October 2021, Tesla had already created 5,000 new jobs in Austin, the most that any company had created in 2021. Amazingly, Tesla has not received an approval certificate from the State that would allow it to build vehicles at the plant and deliver them to customers, yet it still created more jobs than any other company in the Austin area last year.
Tesla Giga Texas drive-bys show just how massive Elon Musk’s Cybertruck factory really is
Austin: America’s New Hot Spot
Austin has been one of the United States’ most heavily developed cities in the past several years. Tesla may be the biggest name to move its corporate headquarters to the City, but it is not the only company to establish a relatively drastic presence in the area. Google is investing $50 million in Texas this year to develop office space. Amazon is building a new 3.8 million square foot distribution center in nearby Pflugerville. Apple is building a $1 billion campus in north Austin and will move some of its employees to the area.
However, Tesla’s Factory seemed to spark the job creation, according to Austin-area realtor Paul Smith. “Once Tesla was announced, now all of a sudden you have job creation. That’s the one thing that it didn’t really have is, southeast Austin was kind of neglected for a little bit, right?” Smith said. The surge of corporate projects in the area has contributed to skyrocketing home costs. The neighborhood closest to Mirador had its average house price jump $93,000 from December 2020 to December 2021, Redfin data suggests.
The influx of economic growth, which has largely been fed by the vast number of projects and companies headed to the region, has largely fueled housing costs to skyrocket thanks to increased demand. More families will move to the Austin area in the coming years due to its attractiveness to corporations and large companies. Austin was ranked #1 on Zillow’s hottest housing market for 2021. In 2022, the City ranks 10th.
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Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
