7 things every leader must do to prepare their organization for 2026

3 weeks ago7 min read

The data is unequivocal: the proportion of U. S.employees using AI in their roles doubled between 2023 and 2025, while across the European Union, 30% of workers are already engaging with these tools. By 2026, Gartner forecasts over 100 million people will collaborate with ‘robo-colleagues.’ This isn't a distant horizon; it's the immediate future, and the critical question for leadership is no longer about if AI will transform their organizations, but how. Will that transformation be guided with strategic intent, or will it unfold haphazardly, a patchwork of disparate tools and isolated initiatives? Drawing from extensive research into the challenges of scaling AI, I’ve identified seven interconnected imperatives that form a roadmap for building resilient, adaptive, and human-centered organizations.First, leaders must embrace regenerative principles, moving beyond extractive models focused on short-term efficiency that create burnout and fragility. As AI amplifies the temptation for quick wins, the focus must shift to systems that restore and enhance human, environmental, and technological resources—a philosophy demonstrated by companies like Patagonia and Interface, where purpose-driven strategies enhance, rather than sacrifice, performance.Second, preparation requires more than just training; it demands organizational redesign. AI will reshape every function and workflow, necessitating a rebuild of work infrastructure, a simultaneous redesign of interconnected roles, and the cultivation of a learning culture that prizes experimentation.Third, leadership itself must evolve. The core competence will shift to guiding hybrid teams of humans and AI systems.This requires leaders to personally engage with AI tools, cultivate clarity of purpose, navigate urgent ethical questions as moral agents, and deploy enhanced emotional intelligence to guide teams through unsettling transitions. Fourth, a balanced innovation portfolio is essential, blending high-risk ‘moonshots’ with practical, near-term ‘mundane wins’ that create the foundation and funding for more ambitious projects.Systematic evaluation using frameworks like OPEN and CARE is critical, and this portfolio management cannot be delegated; it requires engaged C-suite orchestration. Fifth, organizations must vigilantly protect their uniqueness.When everyone uses the same AI tools trained on the same public data, outputs converge toward generic mediocrity. Competitive advantage will stem from authentic difference—auditing what makes you distinctive, creating proprietary datasets, establishing AI-free zones for purely human creativity, and using adversarial prompting to challenge, not just confirm, conclusions.

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#AI transformation

#leadership

#organizational change

#regenerative leadership

#AI-augmented teams

#middle management

#strategic planning