🤖 AI Summary
Business Insider interviewed seven C-suite executives in September and found AI woven into everyday leadership work—from coaching and communications to recruiting, coding, and operational automation. Leaders described using LLMs and specialized agents to polish speeches (uploading keynote video for timestamped feedback), prep for meetings and earnings calls, source candidate shortlists, draft or vet important emails, and prototype product ideas. Tools named include Box AI for document queries, Cursor for code prototyping, ChatGPT and Perplexity for research, and internal agents like IBM’s AskHR.
The takeaways matter because these are high-leverage, real-world deployments that show both breadth and limits of current AI: IBM reports AI handling roughly 94% of HR tasks in AskHR, over 50 cross‑departmental use cases, and an expected $4.5 billion productivity impact by year-end. Yet execs also warn of hallucinatory or low-quality outputs that require human review—sometimes costing extra time—and emphasize thoughtful prompting and governance. For the AI/ML community, this signals accelerating enterprise adoption of LLMs and automation agents, clear ROI in workflow automation and decision support, and ongoing needs for robustness, explainability, and tooling that reduces the cost of supervision.
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