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Exxon Mobil kicked off from S&P 500’s Top 10 list for the first time in 90 years
Texas-based oil giant Exxon Mobil Corp. has long been a mainstay in the S&P 500’s Top 10 list, but its tenure as one of Wall Street’s biggest companies is starting to show some cracks. As indicated by month-end company weightings recently published by the S&P Dow Jones Indices, Exxon has been kicked off the S&P 500’s Top 10 list, the first time since the index was conceived 90 years ago.
Visa Inc. has replaced Exxon Mobil as the 10th-largest member of the S&P 500 by weighting on August 1. Two weeks later, American multinational consumer goods corporation Procter & Gamble also overtook the Texas-based oil veteran. Exxon Mobil currently stands as the 12th largest company in the S&P 500, a far cry from its 1st-place ranking in 2009.
Tom Sanzillo, director of the Institute for Energy Economics and Financial Analysis, noted in a statement to Bloomberg that the oil sector is currently facing challenges, particularly as several regions across the globe seem intent on moving away from fossil fuels. “The oil sector has gone from being the leader of the world economy to a laggard,” he said.
In what could only be described as a sign of the changing times, six out of ten companies in the S&P 500’s Top 10 list are connected to the tech sector. Among these are Microsoft, Apple, and Alphabet, all of which are currently engaged in active programs aimed at embracing sustainability. Apple, for example, uses recycled metals for its premium devices like the MacBook Air and Mac mini, while Microsoft has pledged to cut its carbon emissions by 75% by 2030.
In a segment on CNBC during a particularly volatile time for oil stocks last year, Paul Sankey of Mizuho Securities described a phenomenon known as the “Tesla Effect” that is starting to make its way to the oil industry. “Essentially, the big issue is the so-called ‘Tesla Effect,’ the general ‘End of the Oil Age’ theme that is a problem for these (oil) stocks. The Tesla Effect is the overall concept that (while) the 20th century was driven by oil, the 21st century will be driven by electricity. There’s a 30-year transition, and we’re somewhere probably 10 years into that transition. Ultimately, (the) terminal value of oil has been severely affected by the potential for us to change behavior,” the analyst said.
Exxon’s departure from the S&P 500’s Top 10 list did not happen overnight. While the oil giant was the index’s largest company in 2009, it has seen a steady decline over the past years. Ten years ago, Exxon’s weight in the S&P 500 was a considerable 5%. Today, it is a more far more humble 1%, according to data aggregated by Bloomberg.
Also aggravating Exxon Mobil’s exit from the S&P 500’s Top 10 list is the volatility of oil and gas prices, as well as notable price slumps, and overarching concerns about oil demand. These factors have made the energy sector in the S&P 500 one of the worst performers in recent months. This year alone, the S&P 500’s energy sector is being outperformed by other sectors in the index such as real estate, communications, and consumer staples, among others.
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.”
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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.