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Reading: Musk Predicts 80% of Tesla’s Future Value Will Come from Robots as Web3 Innovations Surge
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Web3

Musk Predicts 80% of Tesla’s Future Value Will Come from Robots as Web3 Innovations Surge

News Desk
Last updated: September 14, 2025 5:59 pm
News Desk
Published: September 14, 2025
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In a bold new vision for the future of technology, Elon Musk has announced that he believes 80% of Tesla’s future value will arise from robotics. This statement underscores a significant shift in focus for the tech giant, as interest in robot concept stocks continues to surge. Simultaneously, emerging Web3 projects dedicated to robotics are capturing attention and igniting a wave of enthusiasm within the tech community. The question now arises: how will a decentralized, on-chain collaborative ecosystem reshape our future?

Several noteworthy projects are paving the way in this arena:

OpenMind has recently raised $20 million and is focused on enhancing robots’ understanding and learning capabilities through an open-source operating system. Their flagship product, OM1, is positioned as “the Android for robots,” offering a hardware-agnostic platform that endows robots with perception, memory, planning, and control. The project’s decentralized coordination layer, FABRIC, enables robots to efficiently share data and learn from one another, supported by blockchain technology.

Peaq, another promising initiative, has secured $21 million and is concentrating on the machine economy. This Layer 1 blockchain allows machines—including robots, drones, and sensors—to hold self-sovereign IDs and facilitates peer-to-peer payments and data storage. Having connected over 90 blockchains, Peaq boasts a thriving ecosystem with applications spanning numerous industries, from agriculture to transportation.

GEODNET is making strides in positioning services, raising $15 million to develop a real-time dynamic positioning network. Initially built on Polygon and now expanded to Solana, GEODNET’s infrastructure enables users to deploy hardware miners that collect positioning data for reward in the form of tokens. With coverage spanning 145 countries, it’s poised to significantly benefit applications that rely on high-precision navigation.

In the realm of data collection, Poseidon, incubated by StoryProtocol, has also raised $15 million. The project addresses the challenge of acquiring training data for AI by creating a decentralized data gathering layer that manages real-world data. By focusing on audio information, users can contribute sound data to train AI models, enhancing their ability to understand diverse accents and environments.

PrismaX, with a total of $11 million in funding, is working on a tele-operation platform that enables remote control of robotic arms. By generating training data through user operations, it aims to optimize AI models and transform the capabilities of autonomous machines.

The landscape also features NRN Agents, a decentralized platform designed for developing AI agents that can operate embodied robots. Using a “Sim-to-Real” framework, the project allows for efficient training through real-time interaction and data collection.

Auki Network seeks to enhance the understanding of physical spaces for robots and smart machines by creating a decentralized neural network. Its innovative approach is built on the Posemesh protocol, enabling devices to collaboratively interpret and share spatial data.

RoboStack provides a cloud-native solution to integration challenges, offering simulation and environment modeling capabilities, thereby simplifying the interaction between hardware and AI agents.

Lastly, FrodoBots Lab promotes embodied intelligence through gamified experiences with their Earth Rover sidewalk robot, which serves multiple purposes from research to entertainment. By creating a decentralized ecosystem, FrodoBots bridges innovation and leisure, generating real-world data for AI training.

These projects collectively illustrate two primary advantages of the Web3 robot landscape: the decentralization offered by blockchain technology may dismantle barriers related to the availability of robot models and data, and the incentive structures embedded in these ecosystems ensure sustainability and vitality for the robot economy.

As interest in Web3 robots grows, stakeholders are encouraged to engage in discussions surrounding the future of this evolving field and the opportunities that lie ahead. However, as always, it’s essential for participants to maintain a cautious outlook, enhancing risk awareness concerning various virtual token initiatives and market speculation.

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