Google DeepMind CEO on state of the AI race, push towards AGI and AI impact on jobs

Core Insights - Google's Gemini is gaining significant traction in the AI landscape, with Apple selecting it to enhance Siri's capabilities [1] - The development of Gemini has been a long-term effort, leveraging Google's extensive resources and research capabilities [2][4] - The latest version, Gemini 3, is reportedly performing well on various benchmarks, indicating strong model quality [4] Development and Infrastructure - The company has focused on improving infrastructure to integrate AI capabilities into its products efficiently, with plans to roll out Gemini features across various services, including Gmail [5] - There is an ongoing debate about the path to achieving Artificial General Intelligence (AGI), with some believing that scaling existing models may suffice while others argue for the need for significant scientific breakthroughs [6][9] Market Dynamics - Concerns about an AI bubble exist, particularly regarding startups that secure substantial funding without proven products [10][11] - Despite some areas potentially being overvalued, there are numerous successful applications and use cases in the AI sector [11] Future Outlook - The likelihood of a major technological revolution that reduces the need for processing power is considered low, with current trends indicating that increased computational resources are necessary for training and deploying AI models [12][13] - The impact of AI on the job market is still uncertain, with expectations that new opportunities will arise, particularly for creators and professionals who adapt to new tools [14][15]