Group 1 - OpenAI introduced GDPval, a benchmark assessing AI's capability to perform actual job tasks, focusing on occupations with at least 60% computer-based tasks [1] - The study emphasizes that the initial impact of AI will primarily affect white-collar, office-based jobs, rather than manual labor roles [2] - A previous study indicated that up to 80% of U.S. workers could see at least 10% of their tasks influenced by large language models (LLMs), with 19% facing at least 50% impact [3] Group 2 - The trajectory of AI development suggests that by 2027, AI could match human experts in various fields, potentially transforming tasks previously deemed too specialized for automation [4] - Software development is highlighted as particularly vulnerable to AI disruption, along with legal, accounting, financial analysis, and customer service roles [5]