Artificial intelligence expert Andrew Ng has stated that the development of Artificial General Intelligence (AGI) is likely decades away. In a recent interview with Fast Company, Ng defined AGI as AI capable of performing any intellectual task a human can, such as learning to drive a truck or authoring a doctoral thesis.
Ng, the founder of DeepLearning.AI and Coursera, former head of Google Brain, and executive chairman of LandingAI, emphasized the significant gap between current AI capabilities and this definition. He noted that while some commercial entities have adopted less stringent definitions of AGI, achieving true human-level intelligence by his original standard remains a distant goal.
This perspective contrasts with more optimistic forecasts from other industry figures. For instance, Elon Musk predicted earlier this year that AGI could be realized within 2026. Furthermore, a 2025 study involving researchers from AI Impacts, the University of Oxford, and the University of Bonn suggested a 50% probability that AI systems could outperform humans in all tasks by 2047.
The pursuit of AGI continues to drive intense competition and investment within the tech sector. Major companies like Meta and Google are reportedly offering substantial compensation to secure top AI research talent, underscoring the strategic importance they place on leading this technological frontier. Despite this activity, the field of AGI research is still considered nascent, with experts debating fundamental challenges related to replicating the complexity of human cognition and establishing clear development milestones.
