Former Google X executive alert: AI will 'break the old rules' of society

The new era of artificial intelligence according to Google veteran

Mo Gawdat, former chief executive of Google X’s business — the technology giant’s innovation lab — has again drawn attention to what he considers a misunderstanding of modern artificial intelligence. In a recent interview with Business Insider, Gawdat argues that contemporary AI is not 'just another software', but represents a fundamentally new type of intelligence that has the ability to learn and self-improvement.

Gawdat's experience on Google X, where he worked on cutting-edge experimental projects, gives significant weight to his observations on the trajectory of technology. According to him, we are facing a transformation that goes far beyond incremental improvements in digital tools.

How artificial intelligence differs from traditional software

The core of Gawdat's argument lies in the differentiation between conventional software and modern AI systems. While traditional programs perform predetermined instructions, current AI models demonstrate ability to learn from data, identify patterns and improve performance over time without direct human intervention.

This distinction becomes even more relevant with the growing integration between AI and physical systems. Gawdat points out that the combination of artificial intelligence and robotics and autonomous systems can result in technologies capable of operating with real autonomy in the physical world — a qualitative change from current capabilities.

Risks of artificial intelligence to the labour market

Unlike debates that focus only on distant futuristic scenarios, the former executive draws attention to more immediate risks. Among its main concerns are the implications for the labor market, where intelligent automation can accelerate transformations already underway.

Gawdat warns that the 'old rules' — social structures, economic models, and labor arrangements that sustain the current organization of society — may not survive intact to the wave of transformation brought about by AI. This perspective echoes concerns of economists and sociologists about the need for institutional adaptation in the face of accelerated technological changes.

How to prepare for transformation with artificial intelligence

Although his observations may seem alarmist, Gawdat does not advocate a stance of technological rejection. His history on Google X — an environment dedicated precisely to exploring disruptive technologies — suggests that his alert comes from those who understand both the potential and the challenges of innovation.

The central message seems to be of preparation: companies, governments and individuals need to recognize that modern AI represents paradigm change, not just incremental evolution. Public policies, educational systems and corporate structures may need reformulation to accommodate a reality where machines not only perform tasks but learn and adapt continuously.

Governance and the Future of Artificial Intelligence

Gawdat's observations are part of a broader debate on governance and responsible development of AI. While some experts emphasize opportunities and benefits, others — including industry veterans themselves — warn of the need for robust regulatory and ethical frameworks before technology advances beyond the capacity for social control.

The challenge, according to this perspective, is not to prevent technological advancement, but to ensure that society develops adaptive mechanisms at the speed necessary to accompany transformations that are already under way.