Following Elon Musk’s upbeat remarks at Davos suggesting imminent clearance of Tesla’s Full Self-Driving (FSD) system in China, multiple Chinese regulatory and industry sources have indicated there is no near-term approval on the horizon. While Tesla has conducted extensive real-world testing in Shanghai and Guangzhou—logging over 2 million kilometers of autonomous data—the China Ministry of Industry and Information Technology has set rigorous safety validation benchmarks that FSD has yet to meet. Market analysts now forecast a potential six- to twelve-month review period, revising down 2026 China FSD subscription targets by up to 40% and cautioning that delayed rollout could slow revenue growth from software services estimated at over $1.5 billion annually once fully deployed in that market.

Tesla’s board in December reinstated Elon Musk’s landmark 2018 compensation plan—now valued at more than $1 trillion—and carved out an even larger potential payout tied to future market-cap and operational milestones. Under the revised scheme, Musk must boost Tesla’s valuation from $650 billion to over $3 trillion and achieve tenfold increases in adjusted earnings before interest, taxes, depreciation and amortization (EBITDA) over the next decade. This structure has reignited discussions among institutional investors about executive pay: the Economic Policy Institute notes CEO compensation has surged over 1,000% in 50 years while median worker pay rose just 26%, and Equilar reports median S&P 500 CEO pay reached $17.1 million in 2024. Proxy advisory firms warn that this mega-award could further concentrate voting power and heighten scrutiny on Tesla’s governance practices.

Tesla has begun collecting operational video data at its Austin Gigafactory to train its Optimus humanoid robot on factory tasks. Insiders report that starting February, dozens of ‘data collectors’—staff equipped with head-mounted cameras—will record themselves performing repetitive assembly line duties, parts organization and material handling. This follows over a year of similar programs at Fremont, where Tesla logged more than 10,000 hours of annotated footage. By deploying Optimus prototypes in both U.S. facilities, Tesla aims to refine algorithms that currently execute simple pick-and-place motions with 85% accuracy. Management targets more complex, unsupervised tasks by year-end, which, if successful, could unlock a new robotics revenue stream projected to exceed $5 billion by 2030.

On January 22, Tesla launched its first unsupervised Robotaxi rides in Austin, removing human safety operators from the cabin for the first time. The pilot cohort of 50 Model Y vehicles, each trailing a manned support car for remote monitoring, will serve invited consumers within a 20-square-mile zone. Tesla asserts that its proprietary neural-net based navigation system has achieved a disengagement rate below 0.2 per 1,000 kilometers—a threshold approved by local authorities. This milestone paves the way for the planned April 2026 rollout of the dedicated ‘Cybercab,’ and if scaled commercially, could generate recurring ride-hailing revenues projected at $0.20 per mile with operating margins above 30%, fundamentally shifting Tesla’s business model from hardware sales to software-driven mobility services.