According to @timnitGebru, prominent AI ethics researcher, the tech billionaires who have been vocal about Artificial General Intelligence (AGI) were largely dismissed as a fringe group by professionals within the AI field (source: @timnitGebru, June 17, 2025). Gebru’s perspective highlights a significant divide between mainstream AI researchers and high-profile industry figures, underscoring skepticism toward AGI hype. This disconnect shapes how AI advancements and risks are perceived across the industry, influencing investment strategies, public trust, and the direction of AI research and regulation. Businesses should note that mainstream AI research continues to prioritize practical, scalable machine learning solutions over speculative AGI pursuits, suggesting immediate commercial opportunities lie in applied AI rather than AGI narratives.

According to Demis Hassabis on Twitter, current artificial intelligence systems have not yet achieved Artificial General Intelligence (AGI) due to missing capabilities in broad generalization and autonomous reasoning. Hassabis highlights the need for enhanced problem-solving abilities and adaptability before AGI can be realized, emphasizing that the current state of AI—despite significant progress—remains limited to narrow tasks and lacks the versatility required for true AGI (source: @demishassabis, May 22, 2025). This perspective points to business opportunities in developing next-generation AI models focused on generalization, continual learning, and cross-domain reasoning, which are crucial for unlocking new markets in enterprise automation and decision-making.