1. The Readiness Chasm: The Gap Between Awareness and Action Is Growing Fast
The first truth is a troubling paradox. Finance leaders know AI is coming, but very few are prepared for it.
According to an AICPA & CIMA survey, 88% of finance leaders believe AI will be the most transformative technology in the next two years. Yet only 8% say their organization is very well prepared for its impact.
This is not a distant problem. The 2025 Future of Professionals Report from Thomson Reuters warns that firms without a clear AI strategy could fall “irreparably behind within three years.”
For Controllers and FP&A teams, this gap between awareness and action is now a serious strategic risk. Waiting is no longer a safe option.
2. The Talent Pipeline Is Disappearing: AI Is Removing the Traditional Training Path
AI’s biggest impact on finance jobs may not be at the senior level. It may be at the entry level.
Traditionally, junior accountants learned the basics by doing manual, repetitive work. AI is now automating much of that work, which threatens the training ground for future leaders.
A Stanford University study found that hiring for early-career roles in AI-exposed fields like accounting has dropped by 13% since 2022. At the same time, hiring for experienced roles has stayed stable.
This creates a long-term problem. If new hires no longer learn through hands-on work, how will they develop the judgment needed for senior roles? Controllers and FP&A leaders must rethink how they train talent, helping new hires develop strategic skills from the start.
This is not the end of the accounting profession. It is a shift in what the role looks like.
“AI is not going to disrupt the accountant. It’ll change what the accountant does, but it will not replace the accountant. As long as we keep up with the skills we need, we’ll continue to be a profession that prospers.”
— Mark Koziel, CEO, AICPA & CIMA
The old training model no longer works. A new one must focus on strategic thinking, not manual execution.
3. Your Real Advantage Isn’t the AI Tool, It’s Your Data
Many companies focus on which AI tool to use. But as powerful models like ChatGPT, Claude, and Gemini become widely available, the real advantage comes from something else: your company’s own data.
Leading organizations are building a “data moat.” As the business runs, it creates unique data. That data trains specialized AI models. Those models improve the business, attract more customers, and generate even more data.
For Controllers and FP&A teams, the message is clear. The goal is not to rely only on public AI tools. It is to combine those tools with proprietary data like transaction records, operational metrics, customer support logs, and supply chain data.
This creates AI systems tailored to your business. Competitors cannot copy this advantage because they do not have your historical data.
4. The New Standard for Finance: From Closing the Books to Creating Value
Top finance teams are using AI not just to work faster, but to change their role in the company.
Instead of focusing mainly on reporting past results, they are moving toward forward-looking analysis and strategic advice.
The performance data from AI-adopting firms is clear:
• Average monthly close times dropped by 7.5 days.
• About 8.5% of staff time shifted from data entry to higher-value analysis.
• Revenue per employee increased from about 150k–200k to 250k–350k in tech-enabled firms.
These efficiency gains support a broader shift. Today, 93% of firms offer advisory services, up from 83% the year before. This shows a clear move away from compliance-only work toward strategic guidance.
“Organizations that invest in talent and technology today can turn disruption into a competitive advantage and be best positioned to lead the way tomorrow.”
— Tom Hood, EVP of Business Growth & Engagement, AICPA & CIMA
5. The Real Bottleneck Isn’t Budget, It’s Skills
The biggest barrier to AI success in finance is not technology cost. It is people.
When surveyed, 50% of finance leaders said the main obstacle to adopting new technology is a lack of skills and talent.
The largest gap is in Generative AI. About 56% of leaders named GenAI as their top concern, showing that many teams lack experience with the tools driving the most change.
At the same time, only 37% of firms are actively investing in AI training, according to the Karbon State of AI in Accounting survey.
This mismatch is where many AI efforts fail. Treating AI as a software purchase instead of a people strategy leads to wasted investment and long-term risk.
Conclusion: Your Team’s Future Is a Choice
The AI revolution is already happening in finance. But success is not automatic.
The outcome depends on choices leaders make about data, processes, and especially people. The evidence is clear. Teams that protect their data advantage, redefine their role, and invest heavily in upskilling will pull far ahead. Those that do not will struggle to keep up.
AI is changing how finance creates value. The real question is what your team is doing today to lead that change.
Sources
• AICPA & CIMA, Future-Ready Finance: Technology, Productivity, and Skills Survey (2025)
• CPA Trendlines, Outlook 2026: Agentic AI Reaches the Tipping Point in Tax and Accounting Firms (2026)
• First Movers, How to Use AI To Maintain a Competitive Advantage
• Karbon, State of AI in Accounting Report (2025)
• Quality Tax Plus, The Future of Accounting: How Artificial Intelligence Is Revolutionizing the Accounting Industry
• Thomson Reuters, 2025 Future of Professionals Report
• Xero / CPA Practice Advisor, The Next Accounting Revolution: Turning AI Adoption Into Firmwide Resilience (2026)