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KPMG

When Tax Day Was Party Night at the Post Office — And Why AI Is About to Upend Everything Else About Accounting

Earmark Team · April 25, 2026 ·

Before tax e-filing took over, April 15th was a public spectacle at American post offices. As Blake Oliver and David Leary discussed on their Tax Day episode of The Accounting Podcast, crowds would gather until midnight, with live entertainment, giveaways, and even Playboy offering “stress relief massages” in pink booths. In Philadelphia, there was a “dunk the IRS agent” booth for charity. Radio stations broadcast live. Fast food chains handed out samples. It was America’s weirdest annual party.

Those days are gone — 94% of returns are now filed electronically. But as the hosts explored in this wide-ranging episode, the accounting profession faces disruptions far more profound than the shift from paper to pixels. Within three years, KPMG expects routine audit testing to have “next to no human beings” doing the work. Hobbyist developers are cloning QuickBooks with AI over a weekend. And a third of workers aren’t even checking AI outputs before they submit them.

The IRS Can’t Keep Up — With Rules or Technology

The profession’s struggles with rapid change start at the top. Just five days before the filing deadline, the IRS finalized which jobs qualify for the new no-tax-on-tips deduction. Podcasters made the cut (Oliver and Leary were pleased), along with tattoo artists, ice sculptors, and golf caddies. Accountants didn’t.

“Five days after they finalized these rules to implement them for our clients,” Oliver noted with frustration. The deduction allows eligible workers to exclude up to $25,000 in tips from taxable income, but mandatory service charges don’t count. “This could be the death of the automatic gratuity,” Leary speculated, since those forced tips won’t qualify.

Meanwhile, Americans are spending 11.6 billion hours completing federal compliance forms — mostly tax returns. The value of that labor? Over half a trillion dollars. “That’s material,” Oliver said, noting it represents a significant chunk of the economy devoted to paperwork.

The IRS’s own modernization efforts tell a cautionary tale. The agency had 126 AI projects running as of last summer, up from just 10 in 2022. But after losing 25% of its workforce, 61% of those projects remain unfinished with no plan to close the skills gap. Even more puzzling: the IRS killed its Direct File program despite it costing only $16 million instead of the estimated $61 million and growing 78% year-over-year. “The program was gaining traction and was less expensive than they thought it was going to be, and yet it got canceled anyway,” Oliver observed.

The Big Four’s Radical Restructuring

While the IRS struggles with basic modernization, the Big Four are racing ahead with AI automation that could eliminate thousands of jobs and upend the billable hour model that has defined the profession for decades.

KPMG is moving fastest. They’re piloting AI systems this summer and deploying them next year for routine testing of transactions like payroll, receivables, and cost of goods sold. “Within 2 or 3 years, routine testing could become the first major audit area with effectively no human audit team directly doing the work,” Oliver quoted from KPMG’s audit chief digital officer. “Next to no human beings.”

The other firms aren’t far behind. PwC’s evidence-matching tool now processes 30 client document types, up from six months ago. EY is testing something even more futuristic: AI audit agents that talk directly to client AI agents to gather documents and prepare workpapers. Only Deloitte is publicly pumping the brakes, emphasizing AI should “augment not replace” human auditors.

The numbers are stark: Big Four leaders expect 20-30% of a typical audit to be fully automated by 2029. KPMG UK is already cutting 440 audit jobs. “I don’t see any other outcome than the Big Four just cutting massive numbers of staff jobs,” Oliver said. “If they do this right… that’s 20 to 30% of their billable hours. What are they going to do? Just raise their rates 20 to 30% to compensate?”

Leary had the line of the episode: “Agents are the perfect accounting firm employees. The partners are going to love them.”

The traditional career path is crumbling too. EY’s talent chief told Business Insider that linear career models are becoming “less relevant” as AI values skills over tenure. Oliver speculated firms might shift from hiring masses of new graduates to recruiting experienced professionals from industry, or moving to an apprenticeship model with smaller, more intensively trained classes.

Everyone’s Building Their Own QuickBooks Now

The disruption isn’t just coming from the top. A Reddit user built a full accounting system that runs inside Claude Desktop — no interface, just chat. You tell Claude what happened, and it updates your books. Another developer cloned QuickBooks Desktop using AI, creating a free open-source alternative. The motivation? “I didn’t want to pay for QBO.”

“You as an accounting firm had control over your tech stack and your clients’ tech stack,” Leary explained. “We’re a Xero shop or a QuickBooks shop… Now your clients are just building their own stuff. How do you as a firm manage this now?”

Oliver’s prediction, based on every past tech revolution: “We will end up with more work rather than less, because it will enable our clients to do way more accounting stuff that we’ll have to clean up.”

On the funded startup side, Juno raised $12 million to build AI tax prep that automates 90% of data entry while keeping CPAs in the loop. The key: transparency over autonomy, with source-to-return traceability and visual validation tools. Artifact launched Omni, which Leary called “a Zapier for accounting firms” — it trains AI agents to use your existing tech stack rather than replacing it.

Meanwhile, legacy players are scrambling. Xero published a blog post claiming to be an “AI native operating system.” Leary counted over 20 buzzwords and read them aloud in a devastating list: “AI native, intelligent SaaS, autonomous finance, system of action…” His verdict: “I don’t think this is written for customers. I think this article is written for the street in an attempt to move the stock price.”

The Quality Crisis Nobody’s Talking About

Here’s what should terrify every firm leader: 35% of workers rarely or only occasionally review AI output before submitting it, according to a Resume Now survey. Eighteen percent trust it straight out of the box. Only 40% review AI output every single time. And 15% use AI at work secretly without telling their manager.

“That should scare you as an accounting firm owner,” Leary said.

Oliver argued firms need systems with built-in controls: “If an employee is just generating something with AI… and they didn’t change anything or they didn’t spend any time looking at it, then flag that.”

The stakes are real. The episode covered two fraud cases that show what happens with weak oversight. A New Jersey preparer filed over 100 false returns seeking $170 million in pandemic credits, getting $55 million before being caught. A Pennsylvania preparer started a new $5.5 million fraud scheme while still on supervised release from a previous conviction.

What Separates Winners from Losers

A Hinge Marketing study of 133 firms revealed a massive performance gap emerging. High-growth firms are growing at 33% annually versus 9.6% for average firms. The difference? High-growth firms spend 9% of revenue on marketing (versus 5% for others), and over 90% use AI for content creation, automation, and research.

“If you have a firm that’s growing at 10% and you want it to grow at 30%, spend 10% of your revenue on marketing,” Leary summarized, though Oliver questioned whether it’s causation or correlation: “Is it just that the firms that are growing really fast have money to burn on marketing?”

The Reckoning Is Here

The accounting profession has always adapted slowly. As Leary noted, “Just ask Xero how it takes decades for them to barely make a scratch into the QuickBooks world.” But this time feels different. The changes are coming from every direction at once — Big Four automation, bedroom coders, funded startups, and clients building their own systems.

The irony is thick. Even as AI promises to make location irrelevant, EY is requiring US tax staff to work in-office 12 days a month. The IRS has 126 AI projects but can’t finish them. Firms are adopting AI while a third of workers don’t even review its output.

For firms willing to invest, experiment, and build proper controls, the opportunity is massive. For those hoping to wait it out, the message from this episode is clear: the profession that gathered at post offices until midnight to file paper returns is gone. The question isn’t whether AI will transform accounting — it’s whether the profession can maintain its core promise of trustworthiness while everything else changes around it.

To hear the full discussion — including the story of a disgruntled worker who burned down a $500 million Kimberly-Clark warehouse over pay disputes — listen to the complete episode of The Accounting Podcast.

From OnlyFans Audits to AI Cheating Scandals: Inside Accounting’s Strangest Week Ever

Earmark Team · January 24, 2026 ·

In episode 465 of The Accounting Podcast, hosts Blake Oliver and David Leary tackle one of the most bizarre unintended consequences of recent tax legislation: IRS agents may soon need to review OnlyFans content at work to determine if digital creators qualify for tax deductions. This absurd scenario perfectly captures the chaos unfolding as artificial intelligence and new regulations collide with traditional accounting practices.

The IRS’s Awkward New Job Requirement

The new “no tax on tips” deduction allows digital content creators to deduct up to $25,000 from their taxes. But conservative groups successfully lobbied to exclude “pornographic activity” from this benefit, leaving the IRS to determine what qualifies as pornography—a definition the Supreme Court has never clearly established.

“Are IRS agents going to have to sit in their offices at work and look at OnlyFans accounts and determine whether or not this content qualifies?” Blake asks. “Supreme Court Justice Potter Stewart famously said, ‘I know it when I see it.’ So that’s my question.”

The timing couldn’t be worse. The IRS just closed hardship telework requests, forcing employees back to the office while the agency faces a backlog of over 8,000 accommodation requests and has lost 25% of its workforce through voluntary separations this year.

David raises another complication: “If somebody did one video that got determined to be pornographic, do you lose the whole deduction or can you claim all the other days that you got tips?”

Tax professionals face their own dilemma. “Let’s say you get a client who says they want to claim the tips deduction, and they’re an online creator,” Blake explains. “Are you going to check out the content and decide whether it qualifies?”

When AI Meets Ethics—The KPMG Scandal

While the IRS grapples with content moderation, KPMG Australia is dealing with its own technology-related embarrassment. Multiple auditors were caught using AI and group chats to cheat on mandatory compliance training during 2023-2024. This happened after KPMG had already paid a $50 million fine for exam cheating from 2015-2020.

“AI is really good at taking these kinds of tests,” Blake notes. “Just copy paste all the questions into ChatGPT and you’ll pass in a heartbeat.”

The consequences were light: formal warnings for most, one verbal caution, and one person who left months later. The firm didn’t report the incident to regulators.

“They got fined $50 million for it before and then they just continued to do it,” David points out. “So the fines don’t work, obviously.”

The PCAOB is now warning it will closely scrutinize AI use in accounting firms. They’re particularly concerned about private equity-backed firms, fearing pressure for short-term results will compromise audit quality when combined with AI automation.

The Death of the Billable Hour

Beyond scandals, AI is reshaping how accounting firms operate and charge for their services. The billable hour, introduced in the early 1900s as a management tool and dominant since the 1960s, faces extinction.

“When AI can review thousands of contracts in minutes instead of weeks, charging for time spent becomes economically absurd,” writes Rita McGrath of Columbia Business School in the Wall Street Journal.

Blake experienced this transformation firsthand as a freelance bookkeeper. “I billed hourly for keying transactions into accounting software. I then figured out how to automate 90% of it. I had a choice: bill 80-90% fewer hours and lose all my revenue, or switch my clients to fixed fees and take ownership of the process.”

The efficiency gains are already here. Ramp has AI approvals handling 80-90% of transactions automatically. Xero’s new auto-reconcile feature uses AI to match transactions with high confidence. According to OpenAI’s survey of 9,000 workers, employees save an average of one hour daily using AI, with heavy users saving ten hours weekly.

But not every company succeeds at this transition. Pilot raised $118 million at a $1.2 billion valuation, betting it could automate bookkeeping and achieve software margins. Today, they have just 2,500 clients and recently launched a partner program to offload the labor they couldn’t eliminate.

“The fact that they’ve launched a partner program indicates they’re trying to push labor costs out of the company so they can be a software company,” Blake observes.

The irony isn’t lost on David. “They have this headline, ‘Tired of endless QuickBooks updates breaking your workflow.’ But the very first app they list in their integrations is QuickBooks. It’s built on QuickBooks.”

AI Writing Reports Nobody Trusts

Companies are racing to use AI for financial reporting even while harboring deep doubts about its reliability. Twenty-eight percent of financial executives already use generative AI for external reporting. ON Semiconductor’s AI writes entire sections of management discussion and analysis. Hewlett Packard Enterprise plans to use AI for first drafts of financial statements starting in January.

“Take financial statements, drop them into ChatGPT and ask for the narrative. It does a spectacular job,” Blake says. “Taking numbers and turning them into a story that non-accountants can understand, highlighting what’s important, it’s really good at that.”

Yet Harvard Business Review’s survey of 603 business leaders shows only 6% of companies trust AI for core business processes. Most limit AI to low-risk or supervised tasks.

“The work accountants do requires near 100% accuracy,” Blake explains. “Research shows AI achieves 80% accuracy at 30-minute tasks but 100% only for tasks taking a few minutes.”

Meanwhile, Meta’s creative accounting for its Hyperion data center—using complex structures to keep it off-balance sheet—shows human financial engineering still outpaces AI. As the Wall Street Journal called it, “Artificial intelligence, meet artificial accounting.”

What Comes Next

Interesting research is challenging assumptions about what drives audit quality. Studies show offices with less competition deliver better audits with fewer errors. “Competition pushes down fees, which incentivizes auditors to cut corners,” Blake explains.

Another study found audit teams with more women deliver higher quality at lower fees, but only in supportive environments with good work-life balance and female partners.

President Trump, meanwhile, claims tariff revenue will eliminate income tax entirely. “We’ve taken in literally trillions of dollars,” he stated, though actual tariff revenue was only $258 billion last year versus $2.7 trillion from income taxes.

“Doesn’t anybody prep him?” David wonders. “He just makes up numbers.”

The accounting profession is at a crossroads. Will accountants become the quality control layer ensuring AI meets professional standards? Or will they cling to outdated models until technology makes them irrelevant?

To hear Blake and David’s full discussion, including details about the new Trump IRA accounts for kids and Senator Jim Justice’s $5 million tax settlement, listen to episode 465 of The Accounting Podcast.

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