Chatbots are just passersby? Google bets on "world models," hoping smart glasses will become the true "killer app" for AI

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Google is adjusting its strategic focus in the field of artificial intelligence, aiming to go beyond the current chatbot-dominated paradigm by betting on "world models" that can understand the physical world, seeking the next qualitative leap in AI technology.

According to Bloomberg columnist Parmy Olson on the 23rd, Google plans to launch a new AI smart glasses next year (2026), aiming to compete with rivals like Meta through "world model" technology and achieve differentiated competition. These glasses, co-produced by Google and Samsung, are different from competing products that can only describe scenes through cameras. The device is designed to understand three-dimensional space, relationships between physical objects, and environmental dynamics. This is seen as a key attempt by Hassabis in the product field, expected to reverse Google’s past reputation in smart glasses and establish a new industry standard.

This move comes as Google is gradually regaining ground in the AI race. With the successful release of the Gemini 3 model, Google topped the performance charts and made strong advances in user numbers against OpenAI, forcing its rival Sam Altman to respond with a "red code" under market pressure. Although ChatGPT still leads in enterprise business and first-mover advantage, Google, backed by abundant resources and a dual-track technology approach, is redefining the landscape of this "tortoise and hare race."

Market perspectives suggest that if these smart glasses based on world models achieve commercial success, it will not only mean the revival of Google’s hardware business but could also signal a paradigm shift for AI applications from pure language processing to physical world interaction. For investors, this concerns not only whether Google can find the "killer app" of the AI era but will also decide whether Hassabis can successfully transition from a top scientist, possibly winning a Nobel Prize, to a business architect who defines Google’s next era.

Beyond Chatbots: The Strategic Bet on "World Models"

Within Google’s strategic blueprint, large language models (LLMs) represented by ChatGPT are not the only path toward artificial general intelligence (AGI). Although OpenAI and Meta’s Zuckerberg are fully committed to chatbots trained on massive internet content and have invested hundreds of billions in computing power, Hassabis consistently believes that "world models" trained via simulation and the surrounding physical environment will lead the next leap in AI.

This technological divergence has already begun to surface within the industry. Hassabis advocates that AI should possess an understanding of the physical world; for example, the Project Astra project aims to enable AI to understand how objects move in space and their relationships with each other.

In contrast, Meta’s head of AI Yann LeCun, despite holding similar views, left the company due to an inability to reach consensus with Zuckerberg. While competitors focus on pursuing super-intelligent chatbots, Google is diversifying its bets like a hedge fund, investing in existing chatbot technology while staking heavily on technologies that could shift the paradigm.

The Gemini Comeback and Deep Organizational Integration

To win in fierce competition, Alphabet CEO Sundar Pichai merged the company’s two major AI departments in 2023, putting them under Hassabis’s unified leadership. This move broke down longstanding departmental opposition. Later, in August 2024, Google actually spent $2.7 billion to rehire Noam Shazeer, co-inventor of the Transformer architecture. Shazeer had previously left because Google refused to launch his chatbot program, and his return proved critical.

According to media citing Silicon Valley insiders, after returning, Shazeer was appointed as the technical co-lead for the Gemini chatbot and successfully discovered and fixed a deep bug in Gemini, greatly improving training efficiency. This directly led to the success of Gemini 3, which surpassed ChatGPT in performance benchmarks and boasts over 650 million monthly active app users, plus around 2 billion users via Google Search.

Although Hassabis himself is not as obsessed with the LLM route as Shazeer, he skilfully resolved internal conflicts with diplomatic finesse and brought Google back to the center of the track. "While a large part of his personality focuses on science, an equally important part focuses on victory," commented Sebastian Mallaby, author of The Infinity Machine, on Hassabis.

Looking For the "Killer App": The Big Commercial Test of Smart Glasses

Despite Gemini's phased victory, Google still faces immense commercialization pressure. Currently, Gemini enterprise services launched relatively late, and scientific achievements like AlphaFold have yet to translate into FDA-approved drugs; Google urgently needs to prove its AI technology can monetize through channels other than advertising. The smart glasses slated for launch next year carry these high hopes.

This Samsung-partnered device is expected to feature a lens display, used for navigation and translation functions. More importantly, if Hassabis can successfully apply the "world model", the glasses will be able to remember the location of items (such as "where are the keys"), understand 3D environments, and predict subsequent dynamics. This will create a generational difference in functionality compared to Meta’s Ray-Ban glasses, which can only describe what the camera sees, lacking deep processing of the physical environment.

If this new generation of glasses can operate successfully and gain market recognition, it will not only erase the poor reputation left by Google Glass, but will likely become the real "killer app" in the AI field, establishing Google’s leadership in the next generation computing platform.

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