Installation of large-scale energy storage systems is expected to continue increasing in the U.S. throughout 2024, as championed by only a handful of states thus far.
According to data from the Energy Information Administration (EIA) shared on Tuesday, U.S. energy storage system deployment is expected to nearly double in 2024, with battery capacity forecasted to grow by 89 percent. As of November 2023, two U.S. states have installed substantially more energy storage systems than others, making up the vast majority of battery capacity available.
The data shows that California leads energy storage availability by a wide margin, with just over 7.3 GW (7,302 MW) of battery capacity installed. Texas follows in second with nearly 3.2 GW (3,167 MW) installed, while Arizona, Florida, and Massachusetts are next in the lineup.
You can see the full top 10 list for U.S. states with the most battery capacity installed below, courtesy of the EIA.
Credit: Energy Information Administration
The data takes into account planned storage system projects for the next two years, and the agency says developers are aiming to expand U.S. storage capacity by 30 GW by the end of 2024. As the EIA also notes, U.S. battery storage capacity has been increasing since 2021, and if the aforementioned goal is achieved, the country will have more energy storage than petroleum liquids, geothermal, wood and wood waste, or landfill gas by the end of this year.
There are over 300 utility-scale battery storage projects planned to be brought online by 2025, with roughly half of them being in Texas. Currently, the largest operating battery energy storage system (BESS) is a project operated by Vistra in Moss Landing, California, which has 750 MW of capacity and is located not far from Tesla’s 182.5 MW Megapack site in the same city.
Four out of five of the largest BESS installations set to take place in 2024 or 2025 are in Texas, as listed below:
- Lunis Creek BESS SLF (Texas, 621 MW)
- Clear Fork Creek BESS SLF (Texas, 600 MW)
- Hecate Energy Ramsey Storage (Texas, 500 MW)
- Bellefield Solar and Energy Storage Farm (California, 500 MW)
- Dogwood Creek Solar and BESS (Texas, 443 MW)
As for the recent increases in storage capacity, the agency says that quickly increasing wind and solar generation fleets in California and Texas have increased the need for growth in the battery storage sector. With energy storage projects, utility operators are able to store power during times of low electricity demand and then deploy stored energy during times of peak demand.
Credit: Energy Information Administration
The news comes just a few days after Tesla Megapacks went live on the island of Oahu in Hawaii, enabling a 185 MW project that has helped the island move away from the use of coal. The project isn’t represented in the EIA’s dataset, since that data only accounts for installations through last November.
In addition to its grid-scale Megapacks, Tesla also offers smaller, residential-level Powerpacks to create what it calls Virtual Power Plants (VPPs), essentially forming giant, distributed batteries that customers can use to sell energy back to the grid in times of peak demand. Currently, Tesla has pilots for these programs in states including California, Texas and Massachusetts, along with the U.S. territory of Puerto Rico.
Tesla Powerwall owner earns $574 by participating in California’s VPP program
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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
