Tesla employees allege Elon Musk optimized routes for VIPs and influencers, creating biased FSD performance. "It felt dishonest," they said.
Insiders at Tesla believe that the CEO, Elon Musk, optimized the routes that he drives and the routes that Tesla FSD content writers take, which would explain why the system's efficacity is inconsistent.
Optimized for Elon Musk
The self-driving initiative at Tesla, particularly its Full Self-Driving (FSD) Beta (now "supervised") system, has been receiving high praise from Elon Musk for quite some time. He frequently urges folks to give it a go or at least see the amazing demonstrations of it online.
While Electrek has long suspected that Tesla mostly used West Coast highways for training its self-driving neural nets—the reason for the somewhat better performance—a new study asserts that this is far from the case.
Today, Business Insider published a fresh allegation. The report is based on interviews with current and former Tesla employees who assert that Tesla has been fine-tuning its self-driving neural networks to follow the routes followed by CEO Elon Musk and Tesla influencers who provide FSD content.
VIP Routes for Influencers
Data annotators, who examine footage from Tesla vehicles to train the company's autonomous neural networks, allegedly were assigned the responsibility of concentrating on two groups: "Tesla CEO Elon Musk and a select set of "VIP" drivers."
Several annotators who spoke with BI verified that they were given the assignment to explicitly work on route surrounding locations of Tesla, SpaceX, and Twitter, in addition to a home that had been owned by Musk in the past.
Tesla staff insisted that this would surely make Musk's experience with Tesla FSD greater than that of the typical Tesla driver.
Commented a former employee of Tesla: "It seemed like we were purposely making his car better to make Autopilot look different than it was. It felt dishonest."
According to the research, Tesla also paid close attention to the paths that Tesla FSD influencers took. It was previously known that Tesla uses the same pathways that prominent content makers use when posting FSD Beta films to transfer internal test vehicles.
Employee Concerns Over Bias
Data annotators supposedly also prioritized those, according to the report: "These videos do not go unnoticed by Tesla staff. These drivers are internally referred to as "VIP" users and their data is at times put in VIP queues, according to the workers."
Some workers have hypothesized that this is because such content creators are testing the system's limitations; as a result, it would be prudent to train the system's neural nets to handle such scenarios; yet, this would also give those creators an advantage over the typical Tesla FSD Beta driver.


Belimo H1 Sales Surge as AI Data Center Cooling Drives More Than Half of Growth
Judge Approves Anthropic’s $1.5 Billion AI Copyright Settlement With Authors
DeepSeek Eyes $74 Billion Valuation Ahead of Planned China IPO
SpaceX Q2 Earnings on Aug. 4 Set Stage for Historic Insider Share Unlock
OpenAI Australia Data Center Switches Cooling Strategy After Recycled Water Plan Fails
AI Chip Stocks Face Valuation Pressure as Investors Shift Toward Big Tech and Software
Rubio Rejects AI ‘Kill Switch’ Claims as U.S. Defends American Technology Abroad
Nvidia Reveals 9.3% Stake in AI Cloud Firm Nebius Following $2 Billion Investment
Super Micro Computer Stock Jumps 20% After Record AI Orders and Margin Surge
IBM Q2 Earnings Miss Estimates as Software Growth Offsets Infrastructure Weakness
Wistron Opens $700M Texas AI Factory to Build Nvidia Superchips in U.S.
Intel, AMD Seek Long-Term China Server CPU Deals as AI Demand Drives Supply Crunch
Samsung Cuts U.S. Consumer Electronics Jobs as Headquarters Moves to Texas
Mikron H1 2026 Sales Fall 5.9% as Automation Weakness Weighs on Profit
Wistron Opens $700M Texas AI Factory to Build Nvidia GB300 Superchips
US, China to Hold AI Talks Ahead of Xi’s September Visit 



