According to analysis published by the Financial Times, the move comes amid slowing automotive revenue growth and intensifying competition, particularly from Chinese electric vehicle manufacturers that are rapidly gaining market share through aggressive pricing, faster model cycles, and strong domestic supply chains (Financial Times). These pressures have made Tesla’s traditional EV business more capital-intensive and less predictable than in previous years.

Tesla’s leadership has increasingly positioned AI, autonomy, and robotics as the company’s long-term growth engines. The Optimus humanoid robot, unveiled as a general-purpose labor solution for factories and logistics, is framed internally as a product with a potentially larger addressable market than electric vehicles. At the same time, Tesla’s long-promised robotaxi service is intended to transform its existing vehicle fleet into a revenue-generating autonomous network, reducing reliance on unit car sales.

Industry analysts note that this shift represents a broader redefinition of Tesla—from an automaker to an AI-driven technology and robotics company. However, both Optimus and robotaxi services remain technologically and regulatorily unproven at scale, making execution a critical challenge.

If successful, the transition could help Tesla offset margin pressure in the EV market and establish leadership in emerging categories where competition is still forming. If delayed, it risks widening the gap with rivals that are already delivering affordable EVs at scale. Either way, Tesla’s evolving strategy underscores how global competition—particularly from China—is reshaping priorities across the electric vehicle industry.

Material by Yana Petrova

Image: Screenshot from video “Tesla to Unveil Third-Gen Optimus Robot Early Next Year”

Huang presented a range of new NVIDIA products and initiatives, spanning VR, enterprise AI, cybersecurity, quantum computing, advances in automotive, and much more. 

Holo Skin is NVIDIA’s full-stack open platform for next-generation software to find instruments. He commented:

“Holo Skin applications can be deployed fully in instrument in the hospitals’ data centers, or a mixture of both. This allows companies to develop applications that require more computing than is in the device. Or to upgrade the installed base of devices, years after deployment. Holo Skin is a full-stack open platform for next-generation software to find instruments. Holo Skin is our third robotics platform.”

Besides Holo Skin, NVIDIA is also developing Mapping for autonomous driving. The CEO said:

“Mapping is a credible pillar of driving. It is the collective memory of the fleet and can be considered another sensor. A couple of months ago, we welcomed DeepMap to our company. DeepMap is an expert in mapping for autonomous driving.” 

He announced ReOpt – a software package combining local search heuristics algorithms and the so-called metaheuristics to optimize vehicle route planning and distribution. ReOpt taps algorithms, providing customers with road conditions, traffic, as well as route metrics to reduce fuel cost, carbon emissions, and miles. 

A variety of other topics were raised during today’s keynote. The conference is being hosted between 8-11 November. Topics, such as 3D Design, collaboration, and simulation, game development, Internet of Things (IoT), 5g, data science, and many more will be raised.

Innovusion’s products are widely used across autonomous vehicles, smart cities, high-speed rail transit systems, and have been recognized by clients as a top performer. The company is dedicated to LiDAR technology research, product safety, and efficient cost structures.

“As autonomous driving technology matures, more and more producers of electric vehicles will choose front-mounted LiDARs as key components in their perception solutions. Innovusion’s LiDAR is recognized as an industry leader given its performance and feasibility for mass production.” Said Ian Zhu, Managing Partner of Nio Capital. “With ample opportunity for future growth, we are very confident that Innovusion will stay at the forefront of LiDAR technology, autonomous driving, and on the road.”

In the beginning of this year, NIO announced ET7, its first vehicle with full-stack autonomous driving capabilities, scheduled to be delivered in the first quarter of 2022, which is equipped with an image-grade ultra-long-range LiDAR developed jointly by Innovusion and NIO, a key component of ET7’s NIO Autonomous Driving (NAD) system.  A model application in the field of autonomous driving, the LiDAR has a 120-degree horizontal viewing angle, ultra-high resolution, and the industry’s longest detection range, capable of “seeing” up to 500 meters. Innovusion’s unique “flexible gaze” function generates a more detailed three-dimensional point-of-view to better track vehicles and pedestrians while simultaneously maintaining high-resolution across the entire field of view, even in low-light conditions.

“I am optimistic about LiDAR’s role in the future of autonomous driving and automaker’s adoption of LiDARs for their autonomous vehicles during the assembly process. According to the Yole report, the autonomous driving LiDAR market is expected to reach $1.7 billion by 2025. In addition, the vehicle-to-everything (V2X) market for smart transportation will also have huge room for growth for LiDARs.” Said Junwei Bao, Co-founder and CEO of Innovusion. “As a Silicon Valley company growing rapidly in both US and China, I am very pleased to have so many well-known global investment institutions participate in our Series B financing round.”

Innovusion is empowering the evolution of autonomous driving technologies as well as the development of smart connected cars and smart cities. Innovusion’s image-grade long-range lidar provides a complete perception and road management solution for smart cities and smart highways worldwide. It has been a key building block in Baidu’s successful deployment of Apollo Intelligent Transportation City projects across major cities like Beijing, Changsha, Cangzhou and other places.