The consulting industry is in the midst of a critical transition, pivoting from the digital age to when AI will be everywhere, and diversity offers us more chances to thrive. Digital tools like dashboards, automation platforms, and cloud systems revolutionized the way consulting is conducted over the last 10 years by increasing efficiency, resilience, compliance, and growth. These inventions added some important rigor to automate data processing, shorten project timelines, and extend the reach of analytics—though they sometimes stalled beyond process streamlining. As client-side marketers became more tech literate and their expectations rose, the limits of digital were exposed: Efficient didn’t mean insightful, and fast doesn’t equal strategically differentiated. There is an emerging paradigm of consulting that combines generative and agentic AI systems. Generative AI is used to design new scenarios, write new narrative content, and propose hypotheses, and agentic AI to autonomously interpret the scenario and monitor adaptation. In combination, they are turning the consulting model from an episodic push to one of continuous, collaborative problem solving: consultants and clients exchanging data and ideas in real time—and even transforming them into working solutions together. And this transformation is not just technical but also professional and ethical. Consultants are now being forced to play the role of AI interpreter and lifeguard, pairing human judgment with the machinations of algorithms, protecting client trust through advice, and engineering governance protocols into every project. Instead of firing consultants, AI makes their strategic reach larger, turning them from tool users to people who can direct an AI-augmented organization. As consulting moves into a new era, its success will be measured less by math and more by the ability of firms to put together pieces in creative ways, to grasp and shape the emerging business models of their clients, and to help their clients with deep organizational change. It is in that context that AI does not turn the page on digital; it writes the next chapter, forcing the profession to reimagine its future.