February 2026

AI is commoditizing knowledge work. Calling AI “employees” risks confusing output with value and teaching clients they no longer need consultants.
Leaders are optimizing performance today while falling behind on AI readiness and skills for tomorrow. Workforce data reveals why managing both is now critical.
AI boosts productivity by taking work off our plates. The real challenge for leaders is what happens next and whether they know how to use the space it creates.
The future of jobs isn’t about AI speed. It’s about leadership choices, workforce readiness, and how organizations redesign work in the age of AI.
Why jobs no longer define how work gets done, and how organizations are separating execution from employment to create certainty in a distributed, AI-enabled world.
As AI reshapes work in 2026, organizations redesign systems faster than the human experience can adapt, creating a growing gap in relevance, identity, and meaning at work.
What to do when career change is forced on you. How to recognize external signals, accept disruption, and take action as AI reshapes the value of work.
AI is automating the work around work, not human value. Why leaders misread AI’s impact on work, and what really differentiates organizations in the future of work.
Google Workspace research shows only 3 percent of companies succeed with enterprise AI. These five behaviors reveal how top performers turn AI into real transformation.
Musk says AI will make work optional, but workers are already choosing flexibility, meaning and autonomy. Data shows the future of work is being rewritten from the ground up.
Companies are cutting entry-level jobs and middle managers, hollowing out the workforce. Here’s how AI is reshaping organizational structure and what leaders risk.
AI is removing repetitive, inhuman tasks, not human value. As busywork disappears, employees shift from order takers to creators, redefining roles, skills, and real impact at work.