The real AI challenge: Leading people through change

Six change management principles help accounting firm leaders build trust, develop talent, and accelerate responsible AI adoption

Did you know that, according to recent AIPCA research, managing change related to technology, particularly the rise of AI, is now the top long-term issue facing CPA firms of every size? Interestingly, that same survey also found that people-related challenges remain among firms' most pressing concerns, especially for larger firms, where employee retention continues to rank as a leading priority.

It's true that firms are already embedding AI into daily workflows to unlock productivity, client value and strategic insight. Our most recent Future Ready Accountant research found that 77% of firms plan to increase AI investments over the next three years. However, as AI capabilities continue to mature, the real challenge no longer lies just within adopting the technology, but managing the human side of transformation in ways that build trust, drive adoption, and empower firms to recruit and retain the very best talent.

Six change management principles that can help drive successful AI adoption

As firm leaders increase and expedite their AI investments, it’s essential that they approach AI initiatives as organizational change efforts, not simply technology projects. Here, I share a handful of principles that can help firm leaders effectively address the “people issues” that can heavily impact the return they receive for their AI investments.

1. Treat AI as a workforce strategy, not just a technology strategy

Many AI discussions begin with tools – and choosing the right AI tools is undoubtedly important. However, as AI becomes capable of performing increasingly sophisticated tasks, firm leaders must give equal consideration to how responsibilities, workflows, and career paths will evolve alongside it.

The managerial challenge of the next five years may not be AI deployment itself. It will be workforce design. Leaders will need to determine which activities are best performed by technology, which require human expertise, and how the two work together to create better outcomes. For many top performers, particularly those most comfortable working with AI, the appeal is not the technology itself but the opportunity to work in an environment that is fundamentally rethinking roles, workflows, and career paths for the future.

AI is reshaping firm strategy:  See how leading firms redesign workflows around AI

2. They view AI as a tool for workforce elevation – not workforce elimination

When employees hear about AI initiatives, their first questions are rarely technical. They want to know how AI will impact their roles, what skills they may need to sharpen, and whether AI will be used to replace them.

Successful firms are addressing these questions directly. Rather than positioning AI as a replacement for professional expertise, leading firms view it as a means to elevate the role of the accountant. AI is a tool that helps employees spend less time on repetitive, administrative work and more time applying judgment, serving clients, and delivering an elevated level of service, through advisory. Once employees fully understand how AI can eliminate the drudgery, amplify their expertise, and free them to do more meaningful work, they stop seeing it as a threat and start embracing it as a career accelerator.

3. Involve employees early and often

One of the most effective ways to reduce resistance is to involve employees in shaping the change. Employees who participate in evaluating, testing, and refining AI-enabled workflows often become some of the strongest advocates for adoption. They provide valuable feedback, identify practical implementation challenges, and help ensure solutions align with how work actually gets done. The best AI strategies are not imposed on employees. They’re built with them.

4. Invest in skills development while redesigning work

Many executives, across professions, identify workforce skills gaps as one of the biggest barriers to successful AI adoption. Tax and accounting is no exception. Professionals need to learn how to evaluate AI-generated outputs, understand limitations, apply professional skepticism, and determine when human judgment is required. At the same time, firms need to be reexamining how roles themselves may evolve as AI takes on more execution-based work.

Many traditional career paths in tax and accounting were built around learning through repetition and execution. As AI handles more routine tasks, leaders must consider how future professionals will develop expertise, judgment, and client advisory skills. The goal isn't simply teaching employees how to use AI. It's preparing them for how work itself is changing.

Responsible AI requires more than training:  Learn how firms can scale AI with confidence

5. Build AI into workflows, not around them

AI adoption often stalls when employees must leave established workflows to use a separate tool. The most successful implementations make AI part of everyday work.

Whether supporting tax research, document drafting, workflow management, client communications, or advisory services, AI should be embedded naturally into existing processes. When technology becomes part of the workflow itself, adoption becomes easier and the benefits become more sustainable.

This is also where firms begin moving beyond incremental productivity gains. The greatest value emerges when processes are redesigned around the combined strengths of humans and AI, rather than simply automating individual tasks.

6. Establish clear ownership and accountability

As AI becomes more integrated into firm operations, leaders must answer a fundamental question: Who owns the outcome? Every AI-enabled workflow should clearly define what the human owns, what the AI is responsible for supporting or executing, and who remains accountable for the final result.

This becomes especially important in a profession built on trust, compliance, judgment, and client relationships. Strong governance frameworks help firms scale AI responsibly while maintaining confidence in the quality and integrity of their work.

The leadership opportunity

The accounting profession has successfully navigated major technology shifts before. AI is different in its capabilities, but not in one important respect: technology alone doesn't determine outcomes. Leadership does.

This moment requires leaders who can see beyond efficiency gains and envision new opportunities for growth, innovation, talent development, and client value. It requires leaders willing to rethink how work gets done while helping employees navigate uncertainty with confidence.

The qualities that matter most aren’t just technical. They are deeply human: curiosity, empathy, vision, and the ability to inspire trust during periods of change. In the age of AI, those very human qualities may ultimately become the greatest competitive advantage of all.

The future is advisory-first:  Discover how firms create more value with AI-enabled insights