General Motors (GM) and Ford will report third-quarter earnings this week, coming amidst the sixth week of ongoing strikes and contract negotiations with the United Auto Workers (UAW) union.
A lot hangs on the reports, and the UAW will likely leverage any bullishness and successes compared to Wall Street expectations shared by the automakers to demand further concessions in contract negotiations, as CNBC points out in a Sunday report. On the other hand, the companies could scare off investors if the impacts of UAW labor efforts or general bearishness on guidance are evident.
In data from LSEG (formerly Refinitiv), Wall Street expectations predict that GM will report earnings of $1.88 per share in Q3, while they estimate that Ford will report $0.45 per share in the same quarter.
GM will release its Q3 2023 financial results on Tuesday at 6:30 a.m. ET, according to the company’s website. Following the meeting, GM will also hold a conference call at 8:30 a.m. ET.
Ford is set to announce its Q3 2023 financial results on Thursday, starting at 4:05 p.m. ET, according to a press release. The webcast for the online event will be available here, and the automaker will hold an earnings call afterward at 5:00 p.m. ET.
Throughout the contract negotiations, the UAW has pulled from earnings reports and public statements from executives of the “Big Three” of Detroit, which includes Ford, GM and Chrysler-parent Stellantis.
“When you’re in bargaining you want to use every piece of news that’s in your favor and bring it up and bring it to the public and to the table,” says Art Wheaton, Cornell University professor of labor at the Worker Institute. “If GM, Ford and Stellantis are still very profitable for the third quarter, [UAW’s] going to claim that, ‘They’re being too cheap in bargaining, and they should give us more.’”
Despite some recent concessions from the automakers in contract negotiations, UAW President Shawn Fain noted in a statement on Friday that the companies were all “extremely profitable,” adding that there is still “more to be won.” The statements came just as Ford laid off an additional 364 workers in two states.
UAW President: Tesla workers are union “members of the future”
JPMorgan has estimated that the UAW strikes have cost Ford $145 million in Q3 before interest and taxes, while the firm estimates it has cost GM $191 million. In Q4 so far, the firm thinks losses have increased to $517 million and $507 million for Ford and GM, respectively.
The estimates come after Ford workers walked off the job at the automaker’s highly profitable Kentucky Truck Plant earlier this month, which produces the company’s F-Series Super Duty pickup, the Expedition and the Lincoln Navigator SUV.
Additionally, if labor efforts are successful, many analysts predict that labor costs will be passed along to the price of the vehicles and thus to consumers. Last Monday, Wolfe Research analyst Rod Lache predicted that labor costs would jump by $3,000 to $4,000 per vehicle based on the latest proposals to the UAW. At the same time, he expects competitor costs to increase by $2,500 to $3,000.
“This could compound other challenges that the OEMs [original equipment manufacturers] face (e.g. competitiveness in batteries, distribution, design),” Lache said. “And we also worry that the OEMs may still not fully appreciate the long-term risks associated with UAW’s new tack — including bargaining in public, social media, and populism. The Automakers appear to be struggling to adjust to this reality.”
The news comes after Tesla reported its Q3 earnings last week, posting a non-GAAP earnings per share of $0.53, beneath Wall Street expectations of $0.64 per share. Additionally, the non-union automaker posted $23.35 billion in revenue during the quarter, though analysts expected the company to report a revenue of $23.9 billion.
You can find our live coverage of Tesla’s Q3 2023 earnings call here.
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
