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Tesla Grabs Mind Share with Battery Storage Solutions
Most home owners aren’t looking to move off the grid, yet, charging with clean energy seems to be the biggest driving factor. (Photo Credit: Grant Gerke)
It’s been interesting to read and watch how corporate media, industry experts and financial analysts digest Tesla Energy’s battery storage solutions over the last seven days. Numerous media outlets are poking at Tesla’s business premise of a 7 and 10 kWH residential battery packs for your home, as they should be.
Here’s a very even-handed take by Dan Steigert, an energy professional, on the 7 kWh daily battery:
If you are getting this out of the battery every day for 10 years the price drops to $0.12/kWhr-cycle, again neglecting installation and inverter price. If this is truly the spec, this is an exceptional number. It is still more expensive than a genset—fossil fuel generator—because the genset can run @ $200/kW, and this is $1500/kW.
The residential battery packs are getting a LOT of attention, partly due to the lack of information at the PR event last Thursday in Hawthorne, Calif. For the last couple of months, I’ve been documenting the lack of a residential market for energy storage, think “community energy” and being able group 100 to 200 hundred solar houses and sell it back to the utility.
That residential market example doesn’t exist, yet.
Tesla Powerwall debuts at Tesla PR event in Hawthorne, CA on Aug 30, 2015.
However, utilities are fully engaged in offering commercial demand/response programs throughout the U.S to large companies and, since last Thursday, Tesla has received over 2,500 reservations for its PowerPack, the commercial and building storage solution.
Currently, Amazon is focusing on clean energy to power its data centers and will roll out a pilot program with Tesla Energy for 4.8 megawatts in Northern California. Tesla is also working with Jackson Family Wines and Target on pilot projects.
“As part of Target’s support to our communities, we’re excited to partner with Tesla on a pilot test at select Target stores to incorporate Tesla Energy Storage as part of our energy strategy,” says David Hughes, senior grp. mgr., Energy Management, Target.
So, yes, Tesla Energy has to deliver a real business solution with these pilot projects and, of course, margins need win out. During Tesla’s conference call, Musk said, “Once we get Gigafactory up and running, and high volume and get the economies of scale working, this is just a guess, but maybe it’s somewhere around 20 percent (battery margins). It’s like we just don’t have enough information to say exactly what that would be (at this point).”
Also from the conference call are the similarities between the car packs and Tesla Energy packs and how that could help economies-of-scale.
JB Straubel, CTO at Tesla Energy, says, “Maybe one point on the cost structure. There’s definitely a lot of commonality in the supply chain and even in the manufacturing base on how we do the modules and sales for the Tesla Energy products along with the vehicle products.”
Sounds promising, especially when Tesla is on record saying it should drive down battery costs by 30% when the Gigafactory is fully operational.
So, the company has to deliver but mind share is already there for the Silicon Valley company and its energy storage products. According to Bloomberg, Tesla Energy’s current reservations–no money down is needed–for both the home and commercial products would equate to $800 million if they could deliver immediately.
Ten years from now, who’s going to get credit for leading the clean energy battery storage drive? I doubt Panasonic and Sony and their much pricier battery storage solutions would roll off your tongue.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
