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This 27-page report by KPMG explores key lessons from the past year on AI integration in the workplace. One of the most important: technology alone doesn’t drive transformation—it’s how people adopt, adapt, and reimagine how work gets done. While the report offers too many insights to summarize fully, a section beginning on page 14 highlights two defining innovations reshaping how we work: 1) the emergence of agentic AI, digital collaborators capable of planning, acting, and adjusting with limited human input; and 2) the advancement of large language models (LLMs), which now integrate memory, personalization, and visual reasoning to drive smarter insights and outcomes. Newer generations of these systems can retain prior interactions, adapt to individual user preferences, and sustain greater consistency across tasks. As the report notes, “your AI collaborator isn’t just answering the question in front of it—it’s increasingly able to recognize your style, goals, and needs over time.” This evolution means users can shape LLM behavior by defining what “good” looks like, helping models better align outputs with expectations and context. In this new environment, feedback becomes a critical skill, where employees must learn to coach their LLMs, just as managers develop their teams. More ideas are discussed in the report, and as a bonus, I’m re-sharing five resources on AI agents in the workplace.
