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Q&A with Michael Paranal on Taxation and AI

Q&A with Michael Paranal on Taxation and AI

The Master of Business Taxation program director discusses how artificial intelligence is impacting the tax industry.

02.12.25
decorative image of taxes being done on computer

AI is changing the dynamics of the tax industry.

[iStock Photo]

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Artificial Intelligence (AI) is impacting all industries, from entertainment to medicine to business and beyond. This includes the tax sector in which generative AI is already playing a key role in data entry, trend forecasts, and compliance.

The USC Leventhal School of Accounting is at the forefront of emerging technological trends and equipping students for dynamic careers in accounting and taxation.

In a conversation with Marshall News, Michael Paranal, director of the Master of Business and Taxation program and assistant professor of clinical accounting, discusses the rise of AI in taxation, how Leventhal ensures its students stay ahead of the curve, and the ways technological advancements are reshaping the relationship between companies and their clients.

Interviewer: Could you provide some insight into AI’s emerging role in taxation?

Michael Paranal: We’ve seen AI transform the work of tax professionals in multiple ways. I think the most evident is in tax preparation and tax compliance. When we talk about data entry — pulling work papers from different files and gathering all of that data — an associate would usually spend many hours doing that. I did that back in the day, but now companies are using AI to automate data entry, data collection, and hopefully reduce some of the human errors that come from manually extracting data.

Deloitte is doing this. They’ve developed an automated document review platform that they’re using, and it allows their practitioners to evaluate large populations of contracts and tax returns to extract key information. Ernst and Young does the same thing. All Big Four firms* are doing that. We’re seeing automation of routine tasks, analyzing extensive financial data, and most importantly, helping keep up to date with evolving tax laws.

How do companies balance the use and integration of AI without eliminating jobs?

MP: I think there is a competition for talent, and I think that competition for talent will continue. For firms, they need to find ways to engage their talent in more meaningful and more value-added work.

From the supply perspective, I think we will be able to recruit more accountants because one of the biggest complaints of accountants is, “In my first two years, I’ll be doing brainless work on worksheets and data extraction.” But they’re able to skip all of that with AI and go straight into strategy and analysis.

In many ways, I think that’s how we’re going to make sure that we don’t eliminate jobs as AI continues to take hold, and that’s imperative on schools and training programs to develop professionals who are ready to take on more of the elevated work.

AI can’t negotiate for you on behalf of your client. You still have to do that. If there was a conflict between your team or between parties and a deal, AI can’t resolve that for you. Ultimately, I think new skills, with a focus on soft skills, will become even more important.

— Michael Paranal

Director, Master of Business Taxation

How do you see AI affecting an organization like the IRS and how they conduct business?

MP: I think the IRS is going to be happy to use AI. They always have a need for more IRS agents to review audits. And now, given the current administration, or at least the current trend, we might see these government agencies actually shrink in size.

With AI, the hope for the IRS is to be able to use that technology to be more effective and be quicker in detecting fraud or raising flags by analyzing data and then using that to determine which ones of these tax filers are most likely to have errors in their filings, or who are most likely to be fraudulent tax filers.

I think the IRS ultimately would welcome the use of AI, but then of course there’s the question of data privacy. They have to make sure that they are also very careful in using AI without sacrificing or compromising very sensitive taxpayer data and information.

Is it safe to say that AI touches every aspect of your industry?

MP: It really touches everything. Tax planning, compliance, investment forecasting, and portfolio management will benefit from AI.

I think one of the less mentioned possible uses of AI would be using AI to analyze government policy changes. The reason why tax is so special is because we get a lot of tax rules, and every administration wants to change or amend the tax law, and it’s one of the biggest sources of legislation that affects the economy.

For instance, in 2017, we had the tax cuts in the JOBS Act, and then in 2022 we had the Inflation Reduction Act that had a lot of tax provisions. AI can help understand that legislation and to see what their impacts are on your client, but also can probably be helpful in predicting what the next government policy changes will be or their impact on your clients.

  • How are you incorporating AI into education at Leventhal?

    MP: At the Leventhal School of Accounting, we already have data analytics for tax professionals. So the focus on that is: how do we analyze large data sets and identify tax planning techniques and opportunities to ensure compliance and also detect potential errors or fraud?

    We’re teaching students those data analytics, but what I’m trying to incorporate more and more is AI applications and taxation. What I mean by that is looking at AI tools that are being used by the companies that recruit from Leventhal — Big Four firms, accounting firms, and big corporations — looking at what AI tools they have and making sure that our students are knowledgeable on what those tools are and also how to use them.

    Of course, with that comes ethical considerations. Part of what we want to integrate at Leventhal is ethical and regulatory considerations in AI taxation, examining the ethical implications and regulatory framework as they evolve, and how that governs use of AI in the tax practice so that we’re sure that we’re compliant in using the technology.

    One last thing I want to mention would be cybersecurity and data privacy and tax technology. We have to look at the importance of data security and tax technology and focus on protecting very sensitive client information as we use AI. As the industry invests heavily in cybersecurity as it involves AI, our curriculum should reflect that as well.

    How do you assure clients that their information is secure?

    MP: Providing robust security measures. This is something that many of the companies are struggling with right now. How do you implement robust security measures and privacy safeguards to protect taxpayer data? What are the strategies? I think this is the question.

    We’re also looking at legal and ethical standards that the industry is coming up with. It’s crucial making sure that these companies are paying attention to those legal and ethical standards and complying with them. It’s a combination of those three robust security measures: data protocols, protection protocols, and complying with legal and ethical regulations.

You mentioned earlier that AI is taking over some of the routine practices of tax professionals. How does that affect teaching the building blocks of taxation and accounting?

MP: It could be good or bad. I would say it depends. Companies have a choice to make with AI. With AI doing that work, does that mean it frees up their associates to do more of the strategy analysis — some of the more critical thinking aspects of the work that add more value? Or does that mean that because AI is doing the tasks, we cut costs and do with fewer [associates] on your account? That’s a choice they have to make.

Personally, I think with AI, the way that we need to change our curriculum is to focus not on the mundane, repetitive routine tasks that obviously AI can do, but focus on the analysis, the critical thinking, the strategy development that you usually won’t experience or won’t be responsible for until you’re three or four years after graduation. Associates now need to be ready on day one when they join a firm to be involved in advisory right away.

The way I’m teaching my class (ACCT 551: Taxation of Partnership) now is focused on tax advisory because it’s something that AI will not threaten or will not immediately threaten, the ability to strategize for your client.

Why is it so important that Leventhal remains on the forefront of technology like this?

MP: Because AI is going to be a part of the industry, and it is imperative that we develop and graduate professionals who are ready to use and take advantage of these tools for the benefit and the advantage of their clients. That’s why we need to be at the forefront.

Leventhal is unique because of the strength of our network and the strength of the school. We not only develop tax leaders, but we develop people who can influence policy. We can be vocal in how we can shape or help regulate AI or the use of technology in this industry.

It is important for the Leventhal school to be at the forefront, not only from the perspective of benefiting our clients, but graduating professionals who are ready and able to bring the most value to their clients through AI, while standing true to our values of protecting our community and making sure that the technology is used for its best potential.

How do you stay on the cutting edge with a technology that is advancing, evolving, and shifting on a near-constant basis?

MP: This is a perfect opportunity to tell you that Leventhal is collaborating with Intuit. They have their AI research team, and we are collaborating with them in researching AI, especially how to leverage AI in taxation. They have data scientists at Intuit. The school partnered with them to make sure that our communication, our collaboration, our case studies are reflective of new and advanced AI technologies so that we are on the cutting edge.

Intuit is helping us look at how we can integrate AI into our curriculum and how best to improve the technology aspect of our curriculum. Because of the network of Leventhal, we have alumni and students that work at Intuit, and we were able to immediately get in touch with them, talk with them, and then start this partnership.

Can you talk a little bit more about the risk of over-reliance on AI?

There is a challenge in the industry on how to embrace AI but prevent your professionals from over relying on it. Ultimately, whether you’re an accountant, a lawyer, a tax professional, you’re providing a service that has to be accurate. It has to be accurate, but no one really understands how AI actually consolidates all of the information, where they get it, how they weigh information, and how they create the answers to an issue that is delivered after a prompt is given to AI.

Overly relying on AI, especially in an industry that prides its legal factual accuracy, could be very problematic. You really need to have the building blocks, to do your own follow up, or be more critical of what answers you get from AI.

How do you project the future of taxation, given AI’s mastery of technical skills?

MP: I think we need to look at what AI can’t do. The beauty of being in the service firm, it’s truly a service that is built on trust. How do you build trust in tax or law or any service firm? You build trust by delivering the highest quality of work that is factually and legally accurate. That’s one way to build trust, but you also build trust through connection. You have to be able to build client relationships, and I think that requires the soft skills that AI itself cannot provide.

Ultimately in a negotiation, conflict management, negotiation skills — those are important skills that AI can’t do for you. AI can’t negotiate for you on behalf of your client. You still have to do that. If there was a conflict between your team or between parties and a deal, AI can’t resolve that for you. Ultimately, I think new skills, with a focus on soft skills, will become even more important.

*Deloitte, Ernst & Young (EY), PricewaterhouseCoopers (PwC), and Klynveld Peat Marwick Goerdeler (KPMG).