The world around us is being reshaped by rapid technology advances and accelerating change across industries. For CEOs, the defining question is not whether AI will transform the enterprise but how leaders choose to shape that transformation. It is becoming clear that AI is a once-in-a-generation turning point. Yet the real story is not the technology itself. It is the future that AI makes possible, one shaped by people.
The organizations that succeed will be human-led and AI-powered. This requires leaders to thoughtfully balance where human judgment should stay firmly in the loop, where automation can meaningfully take on work, and how accountability is managed when people and machines are working side by side.
As AI brings inherent ambiguity and uncertainty, leaders will need to set direction, make thoughtful and ethical choices, guide AI’s use responsibly, and earn trust. In this new era, ethical decision-making becomes a linchpin, shaping not only how AI is deployed but how confidently people embrace it.
Winners and Watchers of Enterprise AI
As 2026 unfolds, a clear distinction is emerging between enterprise AI winners and watchers. Watchers continue to treat AI as a technology experiment. Winners understand it as a catalyst for reinvention. They are reimagining how work gets done, building operating models that put people at the center, and using AI to amplify human talent, creativity, and judgment at scale.
Many are beginning to see early benefits from AI, though their approaches reflect a wide range of ambitions and risk appetites. According to Deloitte’s 2026 State of AI in the Enterprise report, 34% of surveyed companies are starting to use AI to deeply transform their businesses, while 30% are redesigning key processes around AI. The remaining 37% are using AI only at a surface level, with little or no change to underlying business processes.
Even when ambition is high, barriers such as unclear strategy, fragmented experimentation, and limited leadership alignment often slow the move from pilots to enterprise-scale impact. The report shows that while access to AI is widening, fewer than 60% of workers in surveyed companies with access to AI use it in their daily workflow.
Amid this transformation, three critical opportunities are emerging that differentiate AI winners from watchers.
The rise of digital labor. Agents are moving from novelty chatbots to real digital labor. Humans and agents now co-work, with routine execution no longer a human-only task. This shift creates opportunities to intentionally redesign roles, clarify accountability, and determine where human judgment will remain firmly in the loop. Winners are thoughtfully redesigning roles and treating digital labor as an extension of the workforce, unlocking new capacity and speed while enabling humans to focus on higher-value judgment, creativity, and decision-making.
The reimagination dilemma. Organizations face a choice of whether to continue fine-tuning existing business models or undertake true business model reimagination for an AI-enabled future. While incremental cost savings are easier to capture, the organizations pulling ahead are those taking the opportunity to rethink core workflows and decision rights, treating AI as a driver of new ways of working rather than an add-on to legacy structures.
Governance at speed. In an AI-enabled enterprise, governance is about unlocking scale without eroding trust. Leaders should balance centralized standards with distributed execution, using governance to accelerate innovation while maintaining responsible oversight. Governance is not just about compliance. It also includes transparency of spend, observability so models can learn, and feedback loops that help organizations get smarter over time. In this context, trust becomes a strategic enabler of scale and sustained progress.
Leading Change Boldly, Focused on People
Seizing these critical opportunities will not depend on which large language model you use or the agents you build. The answers hinge on strategy, leadership, judgment, and ethics. Leaders should clearly articulate where AI creates differentiated value and how it reshapes work while making principled choices that earn trust through consistent action. In an AI-enabled enterprise, leadership and judgment become true sources of differentiation.
Unlocking that value requires rethinking work from the ground up and asking what work itself could look like in an AI-enabled world. History shows that when powerful technologies become widely accessible, advantage shifts away from the technology itself toward uniquely human capabilities, including creativity, empathy, judgment, and the ability to imagine new possibilities.
There is no playbook for what comes next, but the opportunity ahead is clear. The organizations that pull ahead will be human-led and AI-powered. Leaders will need to reimagine fundamentals, set clear ethical direction, and build trust at scale. By rethinking how work gets done, investing in people, and building trust, organizations can turn AI’s potential into sustained advantage. In the end, the greatest differentiator will not be the technology. It will be the people.
This article originally appeared in the Wall Street Journal’s CEO Brief on February 20, 2026. The Wall Street Journal News Department was not involved in the creation of this content.
This article is part of an ongoing series of interviews with executives. The executives’ participation in this article is solely for educational purposes based on their knowledge of the subject and the views expressed by them are solely their own. This article should not be deemed or construed to be for the purpose of soliciting business for any of the companies mentioned, nor does Deloitte advocate or endorse the services or products provided by these companies.
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