You guys need to read this because it's not just another 'AI will change things' prediction — it's an actual framework for how leadership changes at scale, and MIT has done the legwork that most tech writers skip. Andrew Sison and his team at the MIT Sloan Digital Transformation program have been running workshops on exactly this transition. Their core argument: the old delegation model where a manager assigns tasks is dying because task boundaries are dissolving between human work and AI capability. You can't silo them anymore; hybrid teams require a completely different skillset than what we taught in business schools for decades. They identified four specific skills leaders need now — not just 'learn to prompt.'
They break it down into distinct roles that any good leader should adopt based on where they add the most value. First, become an orchestrator who designs workflows where humans and models hand off smoothly instead of one trying to replace the other. Second, a technical interpreter who actually understands what LLMs can do — not just using them as black boxes but knowing their failure modes like hallucination risk and data leakage. Third, a strategist-curator whose job is high judgment: deciding which 1% of AI output is usable and where human intuition is irreplaceable. And fourth, an empathetic connector because the emotional toll of automation on teams isn't discussed enough — leadership now involves managing team members through career anxiety caused by rapid tech shifts. This isn't sci-fi prediction; it’s a documented evolution in what management has always been: leveraging available resources more effectively.
Source: https://www.technologyreview.com/2026/06/09/1137830/learning-to-lead-in-a-hybrid-human-ai-enterprise/
They break it down into distinct roles that any good leader should adopt based on where they add the most value. First, become an orchestrator who designs workflows where humans and models hand off smoothly instead of one trying to replace the other. Second, a technical interpreter who actually understands what LLMs can do — not just using them as black boxes but knowing their failure modes like hallucination risk and data leakage. Third, a strategist-curator whose job is high judgment: deciding which 1% of AI output is usable and where human intuition is irreplaceable. And fourth, an empathetic connector because the emotional toll of automation on teams isn't discussed enough — leadership now involves managing team members through career anxiety caused by rapid tech shifts. This isn't sci-fi prediction; it’s a documented evolution in what management has always been: leveraging available resources more effectively.
Source: https://www.technologyreview.com/2026/06/09/1137830/learning-to-lead-in-a-hybrid-human-ai-enterprise/