In a recent LinkedIn post, Mark O’Donnell tackles the pervasive question of whether artificial intelligence will supplant human leadership. However, O’Donnell reframes the discussion, arguing that the core of leadership lies not in optimization but in creation. He introduces the concept of “Time Span Capacity,” developed by Elliott Jaques, as a critical framework for understanding the distinct cognitive complexities involved in leadership that AI cannot replicate.
As Mark O’Donnell notes:
“AI optimizes what exists. Leaders create what doesn’t yet exist.”
O’Donnell elaborates on Jaques’s research, which posits that individuals operate at different cognitive levels, defined by the longest time horizon they can plan, execute, and be held accountable for. This “Time Span Capacity” framework, according to O’Donnell, is key to understanding where AI excels and where human leadership remains indispensable.
Understanding Time Span Capacity in the Age of AI
Mark O’Donnell breaks down the framework into distinct levels:
- Level 1-2 (Days to 1 Year): This tier involves direct output and tactical decisions. O’Donnell points out that AI is particularly adept at this level, capable of executing tasks, identifying patterns, and optimizing workflows with superior speed and efficiency compared to humans.
- Level 3-4 (1 to 5 Years): Here, the focus shifts to systematic process and strategic planning. O’Donnell argues that while AI can assist, it struggles with the nuanced judgment required for designing new systems or making critical decisions about company culture and competitive positioning.
- Level 5-7 (5 to 20+ Years): Encompassing multi-business strategy, industry shaping, and societal impact, this highest tier involves envisioning and building the future. According to O’Donnell, AI is incapable of operating at this level, which demands intuition and the ability to navigate true uncertainty and imagine futures that do not yet exist.
The distinction, as O’Donnell highlights, is stark. AI operates within the realm of certainty, learning from historical data and predicting outcomes. Human leadership, conversely, thrives in uncertainty, imagining and creating futures that are not yet defined.
“AI can tell you what’s likely, but only humans can decide what’s right.”
The Leadership Challenge: Competing or Creating?
Mark O’Donnell poses a crucial challenge for professionals: if your current work primarily consists of Level 1-2 tasks, you are effectively competing with AI, a battle O’Donnell suggests is unwinnable. True leadership, and indeed irreplaceability, lies in operating at higher levels of cognitive complexity.
Identifying Your Leadership Zone
O’Donnell encourages self-reflection by asking leaders to consider the proportion of their week dedicated to work requiring human judgment about uncertain futures. He suggests that a low percentage is a significant indicator that one might be focusing too heavily on tasks that AI can perform.
“If you’re spending most of your time in Level 1-2 work, you’re competing with AI. And you’ll lose.”
Furthermore, O’Donnell emphasizes that AI cannot replicate the complex, human-centric aspects of problem-solving within a business. This is a domain where human leaders continue to hold a distinct advantage.
“One thing AI definitely can’t do is navigate the messy, human side of solving real problems in a business.”
Mark O’Donnell’s analysis provides a valuable framework for leaders seeking to understand their unique value proposition in an increasingly AI-driven world, urging them to focus on the uniquely human capacities of creation, intuition, and navigating uncertainty.
📝 About This Content
This article is based on insights shared by Mark O'Donnell on LinkedIn.
📅 Originally posted on March 7, 2026 | View original post on LinkedIn →