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Tesla’s Battery Strategy Receives Little Discussion, But It Should

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Tesla released news last month that its new Roadster battery pack upgrade would use cells manufactured by South Korea-based LG Chem, instead of Panasonic, its long-standing battery cell provider and investor in the Gigafactory.

The automotive media riffed on a possible “controversy” between Panasonic and Tesla Motors, as it headed into 2016. After all, LG Chem sells batteries to a lot of companies notably GM for its Volt and upcoming Bolt vehicle.

What gets lost in the post-Model X reveal and Autopilot frenzy is that Tesla’s battery strategy is spot on, much like that of Nissan’s partnership with NEC (also known as Automotive Energy Supply Company). The way to shave cell and battery pack costs in 2015, and going forward, is vertical manufacturing for lithium-ion battery chemistry. And, this seems to get lost lately with all the talk around self-driving vehicles and forward guidance on sales numbers.

GM Strides

During Tesla's latest earning's call, Musk and JB Straubel commented on the recent claim by GM that they would have an "industry-leading" $145 per kWh cell cost.

Musk said:

“I mean we're constantly agonizing about cell cost and pack cost, and we don't think anyone is on a path to be even close to us. If they are, I would be the first to congratulate them.”

Sounds like confidence with his team and battery strategy, and it resonates with me. Battery chemistry break-throughs for automotive use seems to be a long way off, with most new battery materials still being tested in the lab and no pilots really anywhere.

Argonne National Laboratory, outside of Chicago, recently released the “mid-term” results of its battery program to create “a game-changing next generation battery to transform the transportation sector” but there’s nothing on the cusp for advancement in battery chemistry. Their R&D has given insight to how dendrites behave, and how batteries degrade over time, but no breakthroughs on battery chemistry half-way through its five year study.

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Tesla-Fremont-Factory-Drone

Getting back to Tesla, they hired lithium-ion battery researcher and professor Jeff Dahn, from Dalhousie University in Nova Scotia earlier this year. According to Fortune, Dahn is currently working on a project funded by 3M and the Natural Sciences and Engineering Research Council of Canada to develop longer-lasting, lower cost lithium-ion battery cells. Dahn will joint Tesla Motors in June of 2016.

The race is on to make lithium-ion cheaper but it sure doesn’t look like there’s any “other” battery chemistry on the backstretch. While the battery breakthrough hype has died down, it comes down to two automakers (maybe GM too) committed to reducing battery costs by vertically integrating it into their manufacturing footprint. To my knowledge some automakers haven’t committed yet, like Volkswagen and Toyota. Wonder how that will play out?

"Grant Gerke wears his Model S on his sleeve and has been writing about Tesla for the last five years on numerous media sites. He has a bias towards plug-in vehicles and also writes about manufacturing software for Automation World magazine in Chicago. Find him at Teslarati

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Tesla starts preparing for Optimus in its smartphone app

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Tesla is starting to prepare for the launch of the Optimus robot in its smartphone app, new coding strings show. Elon Musk has referred to Optimus as what will be the greatest-selling product of any kind of all time, and now, Tesla is getting ready for its launch.

Tesla’s smartphone app had several first-time mentions of the Optimus program, according to Tesla App Updates, who intially reported on the appearance. Here’s what they found:

A Dedicated “Robot” Phone Key Authentication

Tesla is working on a Bluetooth Low Energy, or BLE, authentication that is specifically for robots. This does not only apply to Optimus, though, as Robotaxi, which is Tesla’s autonomous ride-hailing platform, might also identify vehicles within the fleet as robots as well.

Tesla shows rapid teardown of Model S and X lines, paving the way for Optimus at Fremont

Essentially, pairing your phone as a key to anything Tesla identifies as a robot to a “whitelist” of authorized devices. Optimus, Robotaxi, or other products that fall into this category will only respond if the device trying to communicate with it is authorized.

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This is a great security feature that will eliminate at least face-value and low-level threats.

Home Data Collection and System Alerts

This appears to be somewhat of a neural network for Optimus within your house. There will be a dedicated screen that asks for consent to collect both video and spatial data while Optimus performs in-home tasks. Everything from vacuuming, washing dishes, dusting, and other activities will be tracked.

There will also be a comprehensive alert system that will track everything from low battery to mechanical issues.

Other Changes

Most of the changes tracked in this particular app update are related to Tesla’s 2026 Summer Update, and include things such as image assets for new features, a preview of the new custom wraps feature, and other unique features.

You can check out our coverage on what is included with the 2026 Summer Update here:

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Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

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Investor's Corner

Tesla Q2 Earnings: Here’s what to expect

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(Credit: Tesla)

Tesla (NASDAQ: TSLA) will report its earnings for the second quarter of 2026 this evening after market close, and investors and analysts are waiting anxiously to see what the company will report for the second three-month span of the year.

Analysts have already put out their expectations from a financial standpoint for the company’s second quarter, but what’s unknown is what Tesla plans to discuss during the call.

Financial Expectations

Wall Street consensus expectations put Tesla’s Earnings Per Share (EPS) at $0.53, while revenues are expected to come in around $26.4 billion.

This would compare to an EPS of $0.39 and $22.19 billion compared to Tesla’s Q2 2025. Last quarter, EPS came in at $0.41 on $22.387 billion of revenue. Additionally in Q1, Tesla beat analyst expectations, but shares dropped over 3 percent the following trading day.

What We Expect

In terms of discussions, Tesla earnings are pretty sporadic and depend on a handful of things, including current events, investor questions, and more.

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Tesla uses a platform called Say to field questions from investors and analysts. These questions are what will be used during the call. Here are the top 5 from the Retail side and top 3 from the Institutional side:

Retail:

“Tesla has missed short-term guidance on robotaxi 3 earnings reports in a row, from 50% coverage of USA by end of 2025 to most recently 7 new cities in 1H26. What is keeping Tesla back from accomplishing these short term goals that they’ve set for themselves?”

“What are the main constraints to expanding robotaxi operations faster, and how do you see that lining up with Cybercab production?”

“What’s the current status of Optimus Gen 3 production ramp, initial deployment in factories, and external sales timeline/volume for 2027? What tasks can we expect the Optimus to perform by end of 2027?”

“To reward long-term Tesla retail shareholders for their loyalty, can you commit to achieving at least half of the goals outlined in your 2025 compensation plan before considering any offers to acquire or merge Tesla?”

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“Why has growth of robotaxi vehicles stalled? When will we see cybercab start customer rides?”

Institutional

“Previously, you’ve said Tesla would lead the R&D while SpaceX would lead production for Terafab. Can you provide an update on how that division of responsibilities is evolving, and any additional clarity on the expected capital contributions from Tesla and SpaceX?”

“For autonomous driving, Tesla’s fleet created a huge data advantage by collecting billions of real-world miles. That advantage doesn’t yet exist for Optimus. How should we think about data availability and its impact on Optimus development?”

“Why is it necessary to limit robotaxi operations within specific zones within cities to start? Will every city have to be rolled out this way?”

Tesla will report earnings for Q2 this evening with the Shareholder Deck at 4 p.m. ET, with the call starting around 5:30 p.m. ET.

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Elon Musk

Elon Musk handed Grok something no other AI company can get their hands on

Elon Musk says SpaceX will feed engineering data into Grok’s next model, avoiding restricted material.

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Artistic concept rendering of SpaceX data being incorporated into a Grok AI model

Elon Musk said Tuesday that SpaceX will feed its internal engineering data into the next major training run for Grok, the AI model now folded into SpaceX following February’s merger. In a post on X, Musk wrote that SpaceX’s “massive corpus of world-class engineering data,” excluding anything restricted under U.S. arms export law, will be added during supplemental training of what he called the “2T run,” a reference to a roughly two trillion parameter model that would nearly double the parameters behind the latest Grok 4.5 that’s rolling out.

The excluded material that Musk is referring to would fall under the International Traffic in Arms Regulations (ITAR), which restricts export of technical data tied to defense and space hardware. That likely rules out propulsion specifics for Merlin and Raptor engines along with guidance and control details for SpaceX’s launch vehicles, but leaves manufacturing knowledge, materials science, and Starlink hardware design on the table.

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The announcement extends a pattern that has been building since SpaceX’s Nasdaq debut in June, when the company went public with Grok and xAI’s Colossus supercomputer folded into the pitch to investors.

Days after that listing, SpaceX closed its $60 billion all stock acquisition of coding startup Cursor, giving xAI both enterprise software distribution and a stream of real world developer data to train on. Grok 4.5 launched July 8 running partly on that Cursor training data, with Musk describing it as roughly comparable to Anthropic’s Opus 4.7 but faster and cheaper to run.

Feeding SpaceX’s own engineering data into the next AI model follows the same logic Musk has applied across xAI’s sister companies. Tesla supplies real world driving data and manufacturing expertise, X supplies conversational data, and now SpaceX supplies aerospace engineering data built up since 2002.

Musk did not give a release date for the upcoming AI model, referred to elsewhere as Grok 4.6. He has said the two trillion parameter run is in its final training phase and expected to wrap this week.

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