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How to be an AI change agent
Whether you’re the chief AI officer (CAIO) or have added AI responsibilities to your current role, your company may still be navigating its AI operating model. Some companies start with AI in a single function. Others appoint a senior leader to drive an enterprise-wide agenda from day one. Either way, as an AI leader, your job can be immense. AI is more than a technology rollout. You’re charting a course for a world where today’s longstanding competitive advantages will likely be obsolete. You may also be working to convince others to adopt the significant changes required, including adopting new business strategies, ways of working, tech architectures and risk management.
It’s a substantial set of challenges. Their outcomes may determine if your company takes the lead or is left behind.
In the spotlight
Speed and innovation matter more than scale
AI can do things today it couldn’t last week. Next week, it may do even more. The companies that thrive will likely be those nimble enough to quickly leverage AI’s growing power — and who use AI for more than productivity gains. AI can make scale obsolete by replicating — and outperforming — specialized labor, global production networks and other functions.
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“Success in this transformative era depends on how leaders approach strategy, adapt to the evolving nature of work and prioritize trust.”
What to focus on in 2025
Artificial intelligence
Mobilize leaders to unlock AI value
Odds are, your C-suite is under pressure. Your executives know that AI is critical, but many senior leaders don’t understand AI and how it can impact your customers, suppliers, competitors and employees. Your first task is to bring that impact to life for your fellow leaders — then help them understand what actions they can take. Whether they’re tax executives looking for AI agents to help deliver greater accuracy or CFOs expecting AI agents to put the finance function in a value-creating position, each senior leader can and should benefit from AI.
Mobilizing your fellow leaders to act can also convince them to help you get what you need — a mandate to lead change along with a team, technology and deliverables. You can’t transform your company as a cheerleader. You should have tools, authority and resources.
Additional ways to unlock AI value
Artificial intelligence
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Craft a business-led AI strategy
If your company expects to use AI to make a few processes faster, you could be left behind. What’s needed is a bold, business-led strategy that covers both defense — safeguarding your position against AI-powered rivals — and offense — entering or creating new markets.
A built-for-AI business strategy can also consider the future of work (which depends on rewiring processes for hybrid teams of humans and AI agents), a Responsible AI framework and the required technology foundations like next-gen AI-native cloud architectures, affordable computational power and ready-for-AI data.
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AI and analytics
Plan for quick wins and AI at scale
With a strategy for your AI-powered future, work with your fellow leaders on a plan to achieve both quick wins and AI at scale. To gain support, help them see the value AI can create for the business as a whole. For instance, AI-powered data ecosystems and data-as-a-managed service offerings can quickly make data modernization a reality, integrating data from across your organization to deliver deeper, faster insights.
A solid plan can help turn hesitation into support. It can, for example, show the business that responsible practices won’t slow down AI value creation. Instead, Responsible AI can accelerate adoption, enhance performance and help AI investments pay for themselves faster.
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Deliver scale and transformation with agentic AI
Deliver on your plan with a two-pronged approach. Methodically harvest incremental value at scale — 20% lower costs or higher revenue can be transformative if it’s everywhere — and select a few high-value areas for extra resources to help drive transformation more quickly.
For both approaches, an AI agent operating system like PwC’s agent OS can be fundamental. It’s the key to unlocking the potential of agents by enabling you to knit together different agents regardless of vendor or application. Whether the AI agents are part of an enterprise application or custom-built in house, the ability to orchestrate them into seamless workflows, processes and solutions can be critical.
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Source: PwC's AI Agent Survey
Explore executive insights
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