I've seen leaders of all stripes struggle with what AI means for their business. Three years into the GenAI era, technology is no longer the primary issue, but its business value. Within the C-suite, the answer often depends on where you sit. The CEO's risk appetite, the CFO's focus on return, and the CTO's scalability guardrails all shape what's possible.
But those differences don't have to be frictional. If managed properly, it can become a fuel. Each perspective reflects real pressure points and real opportunities. When leaders look beyond specific areas of the business and focus on the responsibilities that shape the future, they can begin to connect those perspectives. AI ceases to be a collection of pilots and becomes part of the organization's DNA.
Your AI challenges depend on their challenges
Because AI touches every part of the business, each executive has a stake in how the business develops. But if you want to advance your own priorities, such as innovation, efficiency, and market growth, you need to understand what drives your company's executives. Recognizing these dynamics is more than just collaboration. It's a strategy. By doing so, you can turn competing incentives into collective momentum.
The companies that move forward are not the ones that act fastest or spend the most. They will combine technical capabilities, business strategy, and financial discipline into one coherent approach.
Let's take a closer look at each role.
CEO: Course Setter
What shapes their views:
CEOs feel the weight of expectations. Shareholders, boards of directors, customers, and employees all want to know “how are we using AI?” Many see technology as a way to reshape business models, deliver new customer value, and inform the market about innovation.
Where they focus:
The most effective CEOs connect AI to long-term strategy, not just short-term wins. They are using it to build new business capabilities that allow them to scale, differentiate, and maintain their advantage. CEOs leading the way don't just want to deploy AI. They want to reimagine their company around it.
What shapes their views:
CFOs naturally tend to be optimistic about data. They have seen how automation, predictive, and compliance tools have transformed their capabilities. They recognize that AI can enhance productivity and decision-making across the enterprise. But they are also disciplined investors who want clear visibility into where AI can deliver measurable ROI.
Where they focus:
Today's CFOs have evolved from financial gatekeepers to enterprise value architects. They are building a framework to responsibly assess, prioritize, and scale AI initiatives. They are ensuring that companies don't just invest in AI, but do so wisely, with transparency and accountability.
CIO and CTO: Foundation Builders
What shapes their views:
CIOs and CTOs have lived through technology hype cycles before. They know the potential of AI is real, but it can only be realized with a strong foundation of data integrity, governance, and security. They are responsible for building the infrastructure that allows innovation to flourish while managing real risks such as bias, privacy, and scale.
Where they focus:
They balance enthusiasm with pragmatism. Their challenge is to translate the potential of AI into practical, reliable systems that help drive business outcomes. Collaboration with business leaders is key. The greatest value of AI comes when technical and operational teams work in sync, with the business side understanding the “how” and the technical side understanding the “why.”
Business Unit Leader: Impact Driver
What shapes their views:
For business leaders, AI is tangible. It's in the tools your teams use, the workflows they manage, and the customer experiences they deliver. They are close to where value is created and see firsthand what works and what doesn't.
Where they focus:
These leaders are the bridge between a company's ambitions and the realities of operating a business. Once empowered, you can quickly test ideas, share learnings with your entire team, and turn pilots into scalable impact. Their feedback will help organizations adapt faster and ensure that AI delivers measurable outcomes, not just proofs of concept.
Board members: Champions of long-term thinking
What shapes their views:
The Board brings deep business expertise and oversight responsibility. While many are still building technical fluency with AI, they instinctively understand its strategic implications, including risk, resilience, and long-term competitiveness.
Where they focus:
Boards are now asking more pointed questions, such as “How will AI change the risk profile?” “How should we manage its use?” “What new value can we create for our shareholders?” The opportunity for executives is to translate AI into resonant business terms and explain not just the technology, but the transformational story it enables.
follow a shared path
From where I sit, no two leaders look at AI the same way. That's exactly what matters. CEOs bring the vision, CFOs ground responsibility, CIOs and CTOs lay the foundations, and business leaders translate ambition into action. The board remains focused on long-term value.
When these perspectives come together, momentum is created. Organizations learn faster, scale smarter, and work together by using differences as fuel for common purpose rather than erasing them.
The goal is not to agree on everything, but to move forward together. Leaders must resist the temptation to hold the AI challenge hostage until their needs are met. Avoid a myopic perspective that overvalues the past or prioritizes your area of responsibility over the company's larger goals. AI should inspire a unified commitment across the company to look to the future. It requires leadership. Define your North Star, solve problems creatively, communicate your progress openly, and deploy capital where you have the most confidence.
AI is more than just a business trend. It's a new competitive system. While each leader starts from a unique perspective, the companies that lead in this new era will be those that make AI a shared responsibility.
Dan Priest is PwC's U.S. Chief AI Officer.
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