Tax season has a way of making everyone look for shortcuts.
Deadlines approach, questions pile up and it’s tempting to type a quick tax refund question into a chatbot and see what comes back.
Generative AI tools are incredibly useful for many things. They can summarize documents, draft emails and explain complex topics in plain language. For brainstorming or learning, they are remarkable.
But filing a tax return is a very different kind of task.
And right now in the middle of tax season, the distinction matters.
Because when a tax return is wrong, the consequences don’t fall on the software. They fall on the the taxpayer and the CPA firm filing their taxes.
When a tax return is wrong, the Penalties are real.
In Canada, the CRA can impose penalties when a return contains false statements or omissions made knowingly or with gross negligence. For corporations, the penalty is the greater of $100 or 50% of the understated tax. The CRA also says taxpayers can face interest, reassessments and in more serious matters criminal investigation and prosecution.
The United States applies similar standards. The IRS says its accuracy-related penalty is generally 20% of the portion of an underpayment attributable to negligence, disregard of rules or substantial understatement. In certain more serious situations, the penalty rate can increase further.
Tax authorities regularly publish enforcement actions that show how seriously they treat false filings. In Canada, the CRA announced in 2024 that a Brampton tax preparer was sentenced to three years in jail in connection with a $34 million fraudulent charitable donation scheme.
In the U.S., the IRS continues to publish criminal cases involving false returns and fraudulent refund claims.
None of those consequences are reduced simply because an answer originally came from a chatbot or another generative AI tool. The return is still judged on whether it is correct and supportable. And responsibility still sits with the taxpayer and the CPA professional preparing the return.
And that’s where the conversation about generative AI and tax preparation becomes more nuanced.
Why generative AI works differently from traditional tax software.
The issue isn’t that AI is inaccurate. It’s that it was designed for a different purpose.
Generative AI systems are built to produce language. They generate answers by predicting patterns in enormous datasets. That makes them excellent at explaining concepts, summarizing documents or drafting text.
But tax preparation software is built in a completely different way.
Professional tax platforms such as CCH Axcess Tax, UltraTax CS, Drake Tax and Intuit ProConnect Tax Online are structured around forms, calculations, diagnostics and filing workflows.
They incorporate the logic of Federal/State tax laws directly into the system.
When accountants prepare returns using these platforms, the software performs validations, cross-checks entries and flags inconsistencies before anything is submitted. Many systems also track changes in tax law, manage multi-jurisdiction filings and maintain audit trails for documentation.
In other words, tax software is designed to produce a compliant return with professional judgment at the helm.
Generative AI tools are built to produce a plausible answer based on patterns from previous situations.
New AI-based tax assistants are beginning to appear. Companies like April and Column Tax are experimenting with AI-driven approaches to tax filing and financial automation. Even the major software providers are exploring generative features to assist with research and workflow.
But those systems are still evolving and most operate alongside traditional tax engines rather than replacing them entirely.
Those two objectives may sound similar but in practice they are very different.
An AI chatbot might explain how a deduction works in general terms.
A tax platform, by contrast, determines whether that deduction actually applies to a specific return based on the structure of the filing, the jurisdiction, the supporting forms and the calculations required by the tax code.
That difference becomes obvious the moment something goes wrong.
Where AI fits inside the accounting workflow.
When an AI-generated answer turns out to be inaccurate, there is no audit trail, no validation system and no professional responsibility attached to the result.
Yet the responsibility for the return remains unchanged. The taxpayer and the CPA firm preparing the filing are still accountable for all tax returns submitted.
That distinction explains where generative AI fits within the accounting workflow.
Tax professionals have never been valued simply for knowing the rules. Tax law is widely documented and increasingly searchable.
What clients rely on professionals for is judgment.
A CPA understands how rules interact with real situations. They evaluate risk, determine which elections to make, maintain supporting documentation and defend those decisions if a filing is later reviewed.
Those responsibilities don’t disappear when new technology enters the workflow. They simply define where automation ends and professional accountability begins.
Generative AI won’t replace CPA tax professionals.
The idea that generative AI will replace tax professionals assumes tax preparation is primarily an information problem.
It isn’t.
Tax compliance is a judgment and accountability problem.
Every tax return reflects dozens of decisions: how income should be categorized, which elections to make, how deductions should be interpreted and how risk should be managed if a filing is reviewed later. Those decisions depend on the client’s structure, jurisdiction, history and risk tolerance.
Generative AI can summarize rules or explain how concepts work. But it does not assume responsibility for how those rules are applied to corporations and individuals.
Investors also see the opportunity in automating parts of the tax workflow. Billions of dollars have been invested into AI-driven tax preparation platforms and infrastructure and we too have come across several investors specifically backing generative AI tax tools across North America.
But even with that level of investment, replacing professional judgment is a far more complex challenge.
Tax professionals don’t just interpret rules. They apply them within the context of a specific client and stand behind the return if it is reviewed later. That responsibility where regulation, interpretation and liability intersect is very difficult to automate.
Which is why most accounting firms are not replacing CPA professionals with AI. They are using it as an assistant while the CPA signing the return remains accountable for the outcome.
The bigger takeaway
Technology is already deeply embedded in the accounting profession. Modern CPA firms rely on sophisticated tax software, workflow systems and automation tools every day and many are now experimenting with generative AI to assist with research, documentation and internal productivity.
These tools can make firms faster and more efficient.
But tools and responsibility are not the same thing.
And every tax season is a reminder of that distinction.
Generative AI can help explain a tax rule. But filing a tax return requires something else entirely: structured systems, professional judgment and someone prepared to take responsibility for the result and audits.
When the stakes include penalties, interest and audits, the difference between an AI-generated answer and a signed tax return becomes very real.
At RSSL Mergers, we spend a lot of time thinking about the future of the accounting profession from technology to talent to succession planning across CPA firms.
