Google Executive Calls for Shared Responsibility in AI Regulation
A senior executive at Google has articulated a nuanced view on artificial intelligence, emphasizing its inherent risks, the necessity of regulation, and the impossibility of assigning oversight to any single entity. This perspective is particularly noteworthy coming from a company at the forefront of developing some of the market’s most powerful AI models.
James Manyika, Google’s senior vice president for research and technology, outlined his position in an interview broadcast on October 2, 2026. His core argument posited that every stakeholder involved with AI bears a portion of the responsibility for its safety.
“AI’s risks are real, regulation is necessary, and responsibility has to be shared across industry, government, and society,” Manyika stated.
He clearly delineated accountability, asserting that companies developing “frontier AI models”—the most advanced and capable systems—should be primarily responsible for ensuring their safety.
However, Manyika extended this responsibility beyond the research labs, arguing that those who deploy AI, its users, and policymakers all have crucial roles to play.
Manyika also challenged the notion that the industry should solely await government directives. He suggested that waiting for President Trump to establish AI regulations would be impractical and advocated for voluntary industry initiatives to proceed in parallel with any eventual governmental frameworks.
These remarks emerge as the AI sector increasingly embraces self-regulation. Prominent technology firms, including Google, OpenAI, and Nvidia, recently committed to a voluntary accord designed to enhance safety protocols.
The agreement emphasizes the implementation of “robust internal processes” coupled with independent auditing by its signatories.
The significant limitation of this accord, however, is its lack of legally binding enforcement mechanisms. Should a company fail to meet its commitments, there is no regulatory body empowered to impose penalties.
Throughout 2025 and 2026, Manyika has consistently argued that AI is too critical to be left entirely unregulated, yet also too important to be subjected to poorly conceived regulations.
His preferred approach favors balanced and enabling regulatory frameworks—rules designed to mitigate genuine harms without stifling beneficial advancements. He has highlighted sectors such as healthcare and infrastructure as areas where AI holds the potential for substantial positive impact.
Manyika also co-directs the recently established DeepMind Institute, positioning him at the intersection of Google’s AI research and policy endeavors.
For the AI industry, Manyika’s statements suggest a desire among leading companies to be perceived as proactive on safety issues rather than merely reactive.
Critics of self-regulation are likely to focus on the absence of enforcement. While a voluntary accord with independent audits represents a step forward, accountability without legal recourse ultimately hinges on corporate integrity and reputational concerns.
A key development to monitor will be whether this voluntary approach eventually solidifies into enforceable standards, and who will be instrumental in drafting them. If companies establish the initial benchmarks, governments may find themselves formalizing rules that the industry itself has already formulated.
