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Future Teslas Could Come “Energy Included”
Future Teslas could come “energy included”, no matter how much you drive, for the life of the car. Crazy as it sounds, Tesla can actually make money giving Tesla owners free energy at home not just at Superchargers. Key components are already on the road or under development at Tesla. So, how would this work, when will it happen and what does it mean for Tesla owners and Tesla investors?
How it works
Tesla can provide grid regulation and stabilization services worth as much as the energy used for charging, or more, by centrally controlling the time and rate at which Tesla cars are charged. Embedding a modest up-front cost increment into the price of a special Tesla charging connector, pays energy cost in excess of earnings from grid regulation and stabilization as an “annuity”, and can leave a lot of money in Tesla’s pocket, too. This model is similar to Tesla’s Supercharger business – there is a detailed analysis of Tesla’s Supercharger business I did a while back on Seeking Alpha.
Owners will handle charging differently. Instead of setting charging current, normal or range charging, and (optionally) the charging start time, the owner will instead set a time for charging to be completed and whether a normal or range charge is needed by that time. The Tesla charging control center will then match the charging rate of each Tesla car using over-the-air communication links to earn grid regulation fees and capture the best electric rates while making sure each car is recharged when the owner needs to drive off.
Central Control of Charging Rate Provides Grid Stabilization
Your garage charging connector will be fed from a separate meter and the connector will “identify itself” to the car to enable Tesla controlled charging.
Two things make this scheme economically viable. There is flexibility in exactly when your Tesla charges because most days the charging time is much less than the time your car spends plugged in overnight. This flexibility lets charging be “timed” to help regulate the grid. When wind generation surges due to gusts, or when system load suddenly drops, chargers can be switched on to “swallow” the power surge. The grid system operator, working through the Tesla charging control center can rapidly adjust the charging load to help stabilize the grid.
Rapid adjustment of loads on the grid is valuable because it allows the grid to use more wind power with less fossil generation online as “spinning reserve”. When a large number of car chargers quickly switch on to “swallow” a surge in wind generated power, the value of the “regulation down” can actually be greater than that of the energy used by the chargers. At these times, the system operator will actually pay to have cars charge!
When will free home charging happen?
The answer is, we aren’t there yet. Utilities are only beginning to wrestle with what happens when large amounts of battery storage get connected to the grid. This turns out to be quite complicated. This Sierra Club Energy-Storage Cost-Effectiveness paper offers a summary of the results of several grid storage studies done for the California Independent System Operator (CAISO). At this point we can’t do a specific financial model because technologies, rate structures and even how grid regulation will work with attached storage have not been set.
There are also, at this point, too few Tesla cars on the road to make their charging a significant source of grid regulation. And so far, there is no central control system in place to coordinate the charging of Tesla cars. But times are changing.
CAISO now operates a unified energy imbalance market (EIM) across all or parts of seven states (CA, ID, NV, OR, UT, WA, WY). Within a few years one can imagine upwards of half a million Teslas registered in these states. When these cars are (mostly) plugged in for charging at night, they together represent several giga-watts of load that can be switched on or off in seconds, using the central charging control scheme. That’s a lot of wind regulation capability that requires almost no additional capital investment. It just might get us “free” energy to charge Tesla cars in their owner’s garages.
Status: Where are we on the path to free energy?
Tesla is doing a lot more with grid connected storage and grid regulation than many Tesla owners, and even many Tesla investors realize. In May of this year, J.B. Straubel, Tesla’s Chief Technology Officer made the keynote presentation at Silicon Valley/ SEEDZ Energy Storage Symposium. He discussed a surprising array of Tesla storage products already being made and installed in grid applications, from small residential storage systems being rolled out by SolarCity to large industrial units delivering hundreds of kilowatts. Video of JB’s presentation is available on YouTube here.
A lot of the hardware needed for central charging control of Tesla cars is already part of every Tesla. Every Model S already has a big battery, of course. And high power 10kW or 20kW chargers that are controlled through the touchscreen and the car’s computer. Every Tesla car has a broadband communication link to Tesla company computers that is used to download software updates. These links are available to control charging on a car-by-car basis. Tesla already makes a high power wall connector (HPWC) that can be installed with connection through a standard utility meter. Buying and installing one of these will probably be a requirement to get “free” charging at home.
The only part of the remote charging scheme that isn’t online today is the central control system for “aggregating” car charging so it can be controlled by the grid system operator. Everything else needed to implement aggregated charge control for Tesla cars is either already in production at Tesla or available off the shelf as commercial products or communication services.
In his talk, JB describes aggregation of many residential storage systems to allow the grid operator to use that distributed resource in much the same way aggregated car charging control might be used to stabilize and regulate the grid. At the end of his talk, there is a Q and A session. Someone asks what Tesla’s plans are for eventually implementing the aggregated control center JB described. His answer, “We are building it now.”
Should Tesla owners / investors care about this?
Probably, but some caution is warranted. Tesla owners already talk to their ICE driving friends about how much less electricity costs compared to gasoline or diesel fuel. If in the future all Tesla charging is free, both at home and from Superchargers when traveling long distances, Tesla owners will be left with literally “nothing” to talk about – something their fossil fueled friends may (or may not) appreciate.
For Tesla investors, the prospect of making all the energy for Tesla cars free has some big implications. If the economics parallel those of the Supercharger business, Tesla could see very large additional profit (billions of dollars at least) for something that would require negligible new capital investment by Tesla.
There will be indirect benefits for Tesla, too. Already Tesla cars offer the advantage of much lower energy cost compared to ICE cars, and even hybrids. Free charging at home and at Superchargers would make Tesla cars energy cost even lower than other electric cars which get charged on the owner’s electric meter. While the absolute economic advantage of free charging, compared to other electric cars, will be modest, the emotional value of getting energy for free should never be underestimated as a competitive edge in the market place.
And of course there is the plain, simple novelty of offering a car that costs nothing to run. This is a feature no other car is likely to have, and which no other car (with the exception of soap box derby and solar-car competition cars) has had before. It is newsworthy, people will talk and write about it and it will produce a lot of buzz and free advertising for Tesla. Tesla investors need to be careful not to be overcome with hysteria as the shares go up, yet again.
Disclosure: Author is long Tesla.
News
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
