Tesla’s (NASDAQ:TSLA) fourth-quarter and full-year 2022 earnings call is a couple of days away, and investors of the company are already posting their questions for the event’s Q&A session.
Similar to past earnings calls, Tesla is gathering inquiries from investor communications platform Say. As of writing, Say’s webpage for the Tesla Q4 and FY 2022 earnings call focuses on inquiries from retail investors. And based on the questions that have gained the most number of votes so far, it appears that investors are particularly interested in the upcoming Cybertruck, which is expected to start deliveries this year.
Following are ten of the most voted questions Tesla investors wish to ask this coming Q4 2022 earnings call.
- After recent price cuts, analysts released expectations that Tesla automotive gross margin, excluding leases and reg credits, will drop below 20% and average selling price around $47k across all models. Where do you see average selling price and gross margins after the price cuts?
- The Solar Roof product continues to struggle to gain traction. What has Tesla learned from this, and what changes do you foresee in future Solar Roof versions to increase scale?
- Please provide a detailed explanation of where you are on the 4680 ramp. What are the current roadblocks? When do you (expect) to scale to 10,000 vehicles a week?
- Is Cybertruck production still on track for mid-year?
- What kind of margins do you expect for the stationary energy storage business in 2023 and then 2024 and beyond? Separately, will you consider reporting energy volumes in the P&D report?
- What is the US the current production and future 2-year forecast of Tesla energy: Powerwall, Megapack, (and) Tesla virtual power?
- When will Tesla announce production Cybertruck specs and pricing?
- Since Elon started political influencing, polls from Morning Consult & YouGov show Tesla brand favorability declining in 2022 and division along partisan lines. Such brand damage can impact demand. Does Tesla track favorability, and how will any brand damage be mitigated?
- Elon has said previously that FSD Hardware 4 will most likely come first in Cybertruck. Is that still the current plan? Do you expect there to be an upgrade path for Hardware 3 cars to Hardware 4?
- Zach, when do you think Tesla Insurance will become a big enough revenue source to warrant providing more details on the financials of that business so investors can compare it to other insurance companies?
Elon Musk has commented in the past that he is actually fond of Tesla’s retail investors because they have a good grasp of the company’s plans and execution. In the past, Musk has openly stated that Tesla retail investors actually understand Tesla better than Wall Street. And over the years, Say has become the de facto tool for TSLA investors to ask their own questions at the company’s quarterly earnings calls.
“I do think that a lot of the retail investors actually have deeper and more accurate insights than many of the big institutional investors, and certainly they have better insights than many of the analysts,” Musk said.
Tesla’s Q4 and FY 2022 earnings call is expected to begin at 4:30 p.m. Central Time/5:30 p.m. Eastern Time on Wednesday, January 25, 2023. Similar to Tesla’s other quarterly earnings calls, the event will be available for viewing online.
Disclosure: I own TSLA shares.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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.