Artificial intelligence systems will surpass human intelligence within the next 12 months, according to former Google business director Mo Gawdat. Speaking at the Gladiator Summit II, Gawdat predicted an accelerated technological pace that could bring profound scientific breakthroughs alongside significant risks involving deepfakes, cybersecurity, and emotional dependency.
Mo Gawdat Predicts Artificial Intelligence Will Outpace Human Intellect Within a Year
The timeline for artificial intelligence to outpace human capabilities is shrinking rapidly. During his presentation at the Gladiator Summit II, former Google business director Mo Gawdat delivered a striking projection about the near-term trajectory of machine learning systems.
Gawdat argues that modern models have evolved far beyond simple calculation tools, developing the ability to recognize patterns, analyze massive datasets, generate responses, and tackle complex problem-solving domains with a proficiency that routinely outstrips human specialists.
Scientific Breakthroughs and Cognitive Boosts in Human Users
To illustrate how quickly the technology is moving, Gawdat points to landmark achievements where machines have already beaten human experts. In chess, systems reached levels that outperform the best human players, and more recently, tools like AlphaFold achieved important advances in predicting protein structures—a scientific problem that previously required decades of intensive research.
Beyond what machines accomplish independently, Gawdat estimates that individuals who learn to leverage these tools effectively can boost their own intellectual problem-solving capacity by an equivalent of 45 to 50 IQ points, though he frames this as an informal observation rather than a strict scientific measurement.
The Long-Range Projections Toward 2037
Looking past the immediate 12-month horizon, Gawdat outlines an even more extreme trajectory extending to 2037. By that year, he calculates that artificial intelligence could reach a capacity one billion times greater than humans. This forecast relies on the premise that technological capability is currently doubling approximately every 5.7 months.
While such power could theoretically unlock solutions for stubborn industrial, medical, and scientific problems that normally require vast resources and years of human labor, Gawdat cautions that raw computational capability does not automatically translate into a beneficial outcome for humanity.
Security Risks, Deepfakes, and Ethical Boundaries
Increased machine intelligence also brings darker possibilities. Gawdat warns that advanced algorithms can easily amplify harmful human behaviors, including deception, manipulation, and the quest for power. The proliferation of deepfakes, manipulated images and videos, and fraudulent content makes verifying truth increasingly difficult and introduces risks in fields of cybersecurity.
Furthermore, conversational agents capable of simulating empathy threaten to blur the lines of personal relationships, raising questions about emotional dependency and artificial companionship. With massive technological infrastructure and data concentrated in the hands of a few major organizations, Gawdat stresses that the ultimate outcome will hinge entirely on the ethical values embedded into these systems by their human creators.