AICPA Pushes Back Against IRS Guidance on Passing AI Cost Savings to Clients
WASHINGTON — The American Institute of CPAs (AICPA) has formally requested clarification from the Internal Revenue Service (IRS) regarding newly issued guidelines that suggest tax practitioners should directly pass artificial intelligence-related cost savings on to their clients.
According to the AICPA, the language released by the IRS Office of Professional Responsibility (OPR) fails to recognize modern accounting business models—specifically value-based pricing—and overlooks the extensive operational investments, risks, and liabilities associated with safely deploying generative AI within professional tax practices.
The unfolding debate underscores a broader, high-stakes collision between traditional regulatory oversight and the rapid technological evolution reshaping the accounting profession. As tax professionals increasingly integrate advanced automated tools into their daily workflows, the question of who reaps the financial rewards—the firm, the client, or both—has emerged as a central regulatory flashpoint.
Main Facts
The controversy centers on introductory guidelines released in June by the IRS Office of Professional Responsibility, outlining expectations for the responsible use of artificial intelligence in federal tax practice.
The core points of contention include:
- The OPR Directive: The IRS guidelines advise practitioners using generative AI to pass along time-saving efficiencies to clients by lowering billing charges, tying this expectation to Circular 230’s longstanding prohibition against charging unconscionable fees.
- The AICPA Objection: The AICPA argues that the OPR’s stance reflects an overly simplistic, labor-centric view of accounting services. It ignores the complex economics of technology adoption, including hidden operational expenditures and the reality of modern billing models.
- Value-Pricing vs. Billable Hours: While some firms still rely on traditional hourly billing, a significant portion of the modern accounting profession has shifted toward value pricing—charging clients based on the strategic value, expertise, and outcomes delivered rather than the exact minutes spent drafting a document.
- Hidden Costs of AI: Accounting firms investing in AI face substantial overhead that goes beyond basic software subscriptions. These include implementation costs, rigorous data governance frameworks, cybersecurity protocols, and ongoing staff training.
- Persistent Liability: Regardless of whether a tax return is drafted by a human junior associate or synthesized via an AI large language model, the CPA retains ultimate professional liability, legal responsibility, and ethical exposure for the accuracy of the filing.
Chronology of the Dispute
The tension between tax practitioners and regulatory bodies regarding artificial intelligence has developed rapidly over the past year as generative AI tools have moved from experimental novelties to mainstream productivity assets.
Late 2023 to Early 2024: The AI Boom in Accounting
As generative AI platforms capable of processing complex tax code, summarizing dense financial documents, and drafting returns became widely available, major accounting firms and independent practitioners alike rushed to adopt them. The primary selling point was efficiency: tasks that historically took hours of manual research could now be streamlined into minutes.
June 2024: OPR Issues Introductory Guidelines
To address emerging ethical and professional conduct concerns regarding automated tax preparation, the IRS Office of Professional Responsibility published guidance intended to set guardrails for responsible AI use. Within these guidelines, the OPR explicitly suggested that practitioners should ensure clients benefit financially from efficiency gains, linking reduced research and drafting time directly to fee adjustments under Circular 230.
Mid-2024: Industry Alarm and Internal Deliberations
Upon reviewing the OPR document, leadership at the AICPA recognized that the IRS’s interpretation of billing practices could severely penalize firms investing in innovation. AICPA executives began reviewing the language and collecting feedback from CPAs across the country who reported confusion and concern over how the guidance would be enforced.
Recent Months: Town Halls and Formal Advocacy
The issue took center stage during a recent AICPA Town Hall and Washington Tax Brief. Association leaders—including President and CEO Mark Koziel, Chair Jan Lewis, Vice President of Tax Policy & Advocacy Melanie Lauridsen, and Vice President of Member Value Eva Simpson—publicly addressed the guidance. The AICPA initiated direct communications and collaborative discussions with the IRS to push for clarifying language, updated FAQs, and a more comprehensive understanding of modern tax practice economics.
Supporting Data and Economic Realities of AI in Tax Practice
To fully understand the AICPA’s pushback, industry analysts point to the multifaceted financial architecture required to maintain a secure, AI-enabled tax practice. The IRS guidance assumes a linear relationship between time saved and cost reduced, but accounting executives argue this equation omits vital economic factors.
1. Software Licensing and Enterprise Infrastructure
Deploying enterprise-grade AI tools safely within a financial services firm is expensive. Unlike consumer-grade AI applications, accounting firms must invest in secure, compliant, enterprise-tier software packages that protect sensitive client data under strict privacy laws, such as Gramm-Leach-Bliley Act (GLBA) provisions. Licensing fees scale rapidly across medium-to-large practices.
2. Implementation and Integration Expenses
Integrating AI seamlessly into existing tax preparation software, document management systems, and enterprise resource planning (ERP) platforms requires specialized IT consulting, custom API development, and rigorous testing to ensure data integrity.
3. Training and Professional Development
Technology is only as effective as the professional operating it. Firms must dedicate significant billable hours away from client work to train CPAs, staff accountants, and administrative personnel on prompt engineering, output verification, hallucination detection, and ethical AI utilization.
4. Governance, Compliance, and Security Risks
AI models used in tax practices handle highly confidential personal and corporate financial data. Establishing robust internal governance frameworks to monitor data privacy, guard against intellectual property leakage, and maintain audit trails represents a continuous operational cost.
Official Responses and Stakeholder Perspectives
The AICPA leadership has been vocal in challenging the practicality and authority of the OPR’s directive, emphasizing that the guidelines misunderstand how professional value is generated and priced in the 21st century.
Eva Simpson, CPA, CGMA (AICPA Vice President – Member Value, Tax & Advisory Services)
Expressing the core frustration of the association, Simpson noted that the IRS’s stance reduces professional services to a mere stopwatch exercise.
"The IRS statement implies that any efficiencies gained through AI should be directly passed on to the client," Simpson said in an email statement. "That is an overly simplistic view that ignores the full economics of AI adoption, including software licensing costs, implementation expenses, governance requirements, and the significant investment needed to train professionals to use these tools responsibly and effectively."
Simpson further emphasized the evolution of industry pricing models: "It also overlooks that professional services are increasingly priced based on value delivered, not just time spent, and that the benefits AI creates for clients should be considered as part of that equation."
Mark Koziel, CPA, CGMA (AICPA President and CEO)
Koziel highlighted feedback from practicing CPAs nationwide, suggesting that the OPR may have overstepped its regulatory boundaries with non-authoritative commentary on billing structures.
"Some CPAs still use the traditional hours-times-rate billing model, but many have moved to a value-pricing model," Koziel explained.
He also underscored the evolution of bundled service offerings within modern firms: "Some firms also bundle services, including tax return preparation, at no additional charge. They also provide advisory services, including tax, retirement, and estate planning, which is the direction the AICPA has encouraged members to take."
Crucially, Koziel reminded regulators that technology does not eliminate professional exposure: "CPAs who use AI still have the risk and liability that accompany the preparation and filing of tax returns."
Jan Lewis, CPA, CGMA (AICPA Chair and Firm Partner)
As a practicing firm partner and former chair of the AICPA’s Tax Executive Committee, Lewis brought a boots-on-the-ground perspective to the discussion, emphasizing the ongoing investments firms make to ensure quality control.
"We know that AI-generated work is valuable to our client, and that value, however it is performed by AI or by the profession, has a cost and it has a benefit, and we need to bill for that service based on the value provided," Lewis stated.
Melanie Lauridsen (AICPA Vice President – Tax Policy & Advocacy)
Lauridsen confirmed that the AICPA is actively engaging with IRS officials to bridge the gap between regulatory expectations and commercial reality.
"We are working with the IRS on clarifying language and FAQs because value pricing is something that is just part of business, and you have to be able to include the liability that you’re taking as you go through all of this," Lauridsen said during the AICPA Town Hall.
Implications for the Accounting Profession and Taxpayers
The outcome of this dialogue between the AICPA and the IRS carries profound implications for the future of tax administration, the economics of public accounting, and the consumer experience.
Shift Toward Value-Based Pricing
For decades, the billable hour dominated the accounting landscape. However, the rise of automation has exposed the logical flaw of tying professional compensation strictly to time: when a complex calculation takes two minutes instead of two hours due to software efficiency, billing solely by the hour penalizes the firm for its technological investment.
The AICPA’s defense of value pricing champions the idea that clients pay for the result—an accurate, legally compliant, optimized tax return or strategic financial plan—and the expertise required to validate that result, regardless of the tools utilized behind the scenes.
The Myth of Zero-Risk Automation
Regulators sometimes view AI as a magic button that instantly generates error-free tax documents. In reality, generative AI is prone to hallucinations, outdated interpretations of fluctuating tax codes, and contextual misapplications.
CPAs must meticulously review, cross-reference, and audit every line of AI-assisted work before affixing their signature or PTIN (Preparer Tax Identification Number) to a return. The legal, financial, and reputational liability rests entirely with the human practitioner, a risk factor that justifies commensurate compensation.
Future Regulatory Collaboration
The AICPA continues to provide extensive resources, guidelines, and FAQs to help members navigate the responsible adoption of AI in federal tax practice. By seeking formal clarification and updated FAQs from the IRS, the AICPA hopes to establish a constructive precedent: one where federal regulators encourage technological innovation and operational efficiency without inadvertently penalizing firms for modernizing their business models.
Ultimately, both the regulatory bodies and the accounting profession share the ultimate goal of maintaining a fair, accurate, and ethical tax system. How the IRS responds to the AICPA’s request for clarification will set a critical tone for how professional service providers nationwide leverage emerging technologies in the years to come.
For further information, practitioners can access the official AICPA guidelines and FAQs on the use of AI in federal tax practice via the AICPA-CIMA resources portal.
