Google DeepMind CEO Demis Hassabis said artificial general intelligence could arrive around 2030 [1].
The prediction underscores the accelerating pace of AI development and the urgent need for global regulatory frameworks to manage the transition toward human-level machine intelligence.
Speaking in 2024, Hassabis said concerns regarding the potential for AI to replace human workers. He urged society to prepare for the shift while highlighting the enduring value of human creativity. To mitigate risks, Hassabis proposed the creation of a U.S.-led watchdog tasked with testing frontier AI models [1].
This proposed body would not only evaluate the capabilities of new systems but also coordinate industry-wide slowdowns if significant risks are identified [1]. Such a mechanism would allow developers and governments to align safety protocols before models reach a critical threshold of autonomy.
Regarding the fear of job losses, Hassabis said skeptics should consider the historical context of human innovation. "Look at what we humans have built around us, it is ..." he said [1].
While Hassabis calls for proactive regulation to manage transformative AI, perspectives on the immediate labor market vary. Some analysts suggest that a massive job "bloodbath" is not currently occurring, though they warn that a cascade of layoffs remains a possibility in the future [2].
Despite these contradictions, the focus remains on the 2030 timeline [1]. Hassabis said that the arrival of AGI will necessitate a fundamental shift in how humans interact with technology and the economy.
“Artificial general intelligence could arrive around 2030.”
The call for a U.S.-led watchdog suggests that leading AI developers recognize that self-regulation is insufficient for frontier models. By proposing a coordinated 'slowdown' mechanism, DeepMind is acknowledging that the speed of innovation may outpace the ability of society to implement safety guardrails, potentially shifting the industry from a competitive race to a regulated utility model.
