According to Ethan Mollick on X, responding to McKinsey Global Institute’s new Skill Change Index, AI will not render most human skills obsolete but will reshape how judgment, problem solving, negotiation, and leadership are applied alongside agents and robots. As reported by McKinsey Global Institute, the index ranks skills by five-year automation exposure and finds higher exposure for routine cognitive and data-processing tasks, while complex problem solving and people leadership face lower exposure but greater augmentation potential (source: McKinsey Global Institute, mck.co/aiskills). According to McKinsey Global Institute, this creates near-term business opportunities to redeploy AI copilots for structured analysis and documentation, while upskilling managers in AI-augmented decision workflows and negotiation support. As reported by McKinsey Global Institute, organizations can capture value by mapping roles to the index, prioritizing AI-enabled task decomposition, and investing in human-in-the-loop governance for judgment-intensive processes.

According to God of Prompt on Twitter, researchers have identified a 0.32 correlation between an AI model's ability to reproduce GSM8k test examples and its performance gap. This finding suggests that models which can recite test questions tend to perform worse when faced with new, unseen questions. As reported by God of Prompt, the implication is that these models may be memorizing answers rather than demonstrating true problem-solving capabilities, raising concerns about the validity of current AI evaluation benchmarks.