NextFin News - Speaking at a high-profile press conference during the World Economic Forum in Davos, Switzerland, on January 20, 2026, Demis Hassabis, CEO of Google DeepMind, delivered a provocative forecast regarding the future of consumer hardware. Hassabis asserted that the mobile phone, the dominant personal computing device for nearly two decades, is fundamentally ill-suited for the burgeoning era of artificial intelligence. According to Maeil Business Newspaper, Hassabis argued that the physical requirement of holding a device to illuminate or interact with the surrounding world is an "operating" burden that is not optimal for everyday life. Instead, he identified smart glasses as the most promising successor, capable of providing the hands-free, visual-first experience required for AI-driven navigation, cooking, and accessibility support.
The rationale behind this shift lies in the evolution of AI from a reactive tool into a proactive, universal digital assistant. Hassabis noted that while previous attempts at smart glasses, such as the original Google Glass, failed due to weak batteries, bulky designs, and a lack of a "killer app," the technological landscape has shifted. With the release of Gemini 3 and advancements in battery efficiency, the software is now powerful enough to serve as a constant, helpful companion. Hassabis highlighted Google’s strategic partnerships with eyewear leaders like EssilorLuxottica (Ray-Ban), Gentle Monster, and Samsung as evidence that the industry is moving toward a category-defining hardware transition. Beyond hardware, Hassabis also provided a timeline for Artificial General Intelligence (AGI), suggesting a 50% probability of achieving human-level cognitive reproduction—including scientific creativity and long-term reasoning—within the next five to ten years.
From an analytical perspective, Hassabis’s prediction signals a pivot from the "screen-centric" economy to an "ambient-intelligence" economy. The mobile phone is a pull-based interface; users must consciously decide to engage with it. In contrast, AI assistants require a push-based, always-on interface that can perceive the user's environment in real-time. Smart glasses solve the "context gap" that limits current AI models. By sharing the user's field of vision, a device can provide real-time overlays for directions or identify objects without the friction of pulling a phone from a pocket. This transition is not merely about convenience but about data acquisition. For Google, the move to glasses represents a critical play to capture the "visual data stream" of daily life, which is essential for training the next generation of multimodal AGI models.
However, the path to replacing the mobile phone faces significant structural and social hurdles. While Hassabis pointed to the "capability overhang"—where current AI models possess more potential than is currently utilized—the hardware must still overcome the social stigma and privacy concerns that derailed earlier iterations. Hassabis addressed this by emphasizing that trust and security are paramount, stating that Google has no current plans to integrate advertisements into Gemini assistants to avoid confusing user benefit with commercial interests. This focus on trust suggests that the winner of the post-mobile era will not be the company with the best hardware alone, but the one that can maintain a "privacy-first" reputation while managing the immense data flows of an always-on camera.
Looking forward, the economic impact of this shift will likely be bifurcated. In the short term, as Hassabis and Anthropic CEO Dario Amodei discussed at Davos, the labor market may face disruption, particularly in junior-level white-collar roles and software engineering. Amodei even suggested that AI could handle end-to-end software engineering tasks within 6 to 12 months. Yet, Hassabis remains optimistic about the long-term creation of higher-value roles. The transition from mobile phones to AI-integrated glasses will likely catalyze a new ecosystem of "spatial apps," moving the tech industry's focus from 2D interface design to 3D environmental interaction. As AGI approaches the 2030 horizon, the device in our pockets may soon seem as antiquated as the desktop PC did at the dawn of the smartphone revolution.
Explore more exclusive insights at nextfin.ai.
