Leading in Two Timelines

Leading in Two Timelines at Once... 

Looking back on 2025, the thing that changed my thinking the most wasn't a single breakthrough, it was recognizing we're living in two timelines at once. We're still in the early days of AI development, yet simultaneously, AI is already woven into nearly everything. This paradox means the organizational and human impact are paramount to focus on in 2026.

𝗔𝗜 𝗮𝘀 𝗧𝗼𝗼𝗹, 𝗔𝗱𝘃𝗶𝘀𝗼𝗿, 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗼𝗻 
In the coming year, leaders can lean into the fact that teams aren't just adopting a productivity tool, they're forming a connection with AI that's reshaping how they think, decide, and relate to their own expertise. Year-end reports on Generative AI use reveal that of the hundreds of millions of users across ChatGPT, Claude, Gemini, and Copilot, more are turning to these tools for personal support than we anticipated. 

Alongside optimizing workflow, people are using AI for existential musings, therapy, health, and advice. This blurred boundary between professional and personal use means AI is changing not just how teams work, but how they understand their own value and identity in the workplace. 

This matters because the same AI that optimizes a team's workflow is also the one they turn to for career advice, life questions, and emotional support; the line between tool and advisor disappears. And that means the transformation happening in your organization runs deeper than efficiency metrics can measure.

𝗧𝗵𝗲 𝗩𝗼𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗖𝗿𝗶𝘀𝗶𝘀 
The vocational identity crisis at the intersection of AI adoption is salient. When roles get restructured and core competencies become automated, efficiency gains can confusingly feel like unsteady ground. If you're allocating significant budget for AI infrastructure, insure that investment with parallel support for helping people author the next chapter of their professional narrative. 

𝗕𝗲𝘆𝗼𝗻𝗱 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗛𝗼𝗻𝗲𝘀𝘁 𝗗𝗶𝗮𝗹𝗼𝗴𝘂𝗲 
AI adoption is not purely a training problem. Teams are already experiencing cognitive tension: “When will I have time to learn this?” “What if AI takes over my job?” Research shows that openly discussing both the concerns and the excitement is actually a catalyst to adoption, not a barrier. 

The year ahead will be one marked with leaders facing the ambivalence of AI head-on and seeing their companies scale and succeed because of it. AI will continue to reshape industries in 2026, and your leadership will matter now more than ever.