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The Accounting Podcast

AI Agents Now Complete Tax Returns Start to Finish While the Government Can’t Even Audit Its Own Books

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The US government just declared itself insolvent. AI agents are completing tax returns without human intervention. And the accounting profession is caught between these two massive disruptions.

In Episode 481 of The Accounting Podcast, hosts Blake Oliver and David Leary opened with a bombshell that somehow flew under the mainstream media radar. The Treasury Department’s own financial statements show the US is $42 trillion in the red, and that’s before counting Social Security and Medicare obligations. They then dove into an equally seismic shift with guest Kenji Kuramoto, founder of Acuity and newly appointed Managing Partner in Residence at AI company Basis, exploring how artificial intelligence is transforming every corner of the accounting world.

Deficit Spending Just Keeps Going

“It’s official. We are insolvent,” David announced at the start of the episode, referencing the Treasury’s 2024 financial statements. They show $6 trillion in total assets against nearly $48 trillion in total liabilities. That $42 trillion hole doesn’t even include the $88 trillion in unfunded Social Security and Medicare obligations sitting off the balance sheet.

“Imagine a family making $52,000 that owes $1.3 million in a line of credit,” Blake said, putting the crisis in household terms.

Making matters worse, the Government Accountability Office issued a disclaimer of opinion for the 29th consecutive year, essentially saying it can’t even verify the accuracy of the numbers because the Department of Defense has never passed an audit.

“This is the reason a huge number of people voted for Trump,” David said. “They wanted to stop deficit spending, and it just keeps going.”

Meanwhile, AI Is Eating the Accounting Profession

While the government’s books are falling apart, AI companies are racing to automate the work of keeping everyone else’s books together. TaxGPT announced an AI agent capable of completing 1040 returns from start to finish without a preparer touching a keyboard or mouse. The tool works with existing web-based portals and tax prep software, pulling in W-2s, 1099s, and other source documents, then having a review agent double-check everything.

“Why go after tax pros?” David asked. “Just get in bed with the portal companies and go after TurboTax.”

Kenji, who recently joined Basis after selling Acuity and taking a year off, described watching AI agents handle complex accounting work that made him come out of retirement. “I saw an agent handle complex payroll entries like booking the GL entry, creating an accrual because the pay period didn’t align with month-end, posting the reversing entry for the following month, and building a complete set of work papers,” he said. “I saw this last year, and I was like, wait, what?”

The flood of AI announcements kept coming throughout the episode:

  • Ramp launched an accounting agent that auto-codes transactions down to the line-item level on invoices, claiming to save finance teams 40+ hours per month
  • Xero announced a multi-year partnership with Anthropic to integrate Claude AI directly into its platform
  • Canopy launched a bookkeeping module with AI that continuously reviews books and flags issues in real time
  • Double (formerly Keeper) released AI Journal Entries that can handle complex, repetitive entries from source documents
  • BILL announced agents for invoice coding, W-9 collection, and automated vendor payment responses

“Everyone thought we were boring,” Kenji said. “Look at this. All these Y Combinator companies spinning up and fundraising announcements and agents everywhere. Come on. Exciting.”

The Skills Gap Is Already Here

The shift is showing up in real time in hiring data. In 2023, only 18% of accounting job postings mentioned AI skills. Now it’s 30%, a 67% increase.

“The real-world requirement is probably 50%,” David argued. “People are behind on updating their postings.”

But a better question is what happens to the business model. Kenji described how at Acuity, the bottleneck was always people. Plenty of companies needed help with their books, but you couldn’t hire enough accountants to serve them cost-effectively. AI agents break that constraint. One highly efficient bookkeeper might handle 45 to 60 clients today. “Will one person eventually be able to handle 200 clients?” David asked.

The threat isn’t just from other firms. An article on Payments.com found that everyday taxpayers are already using ChatGPT and Gemini to do their taxes before ever talking to a professional. The reason is “speed and simplicity,” David explained. “AI can explain tax concepts, organize the documents, and suggest deductions. These are things they’re not getting from their tax professional.”

Are Tokens the New Billable Hour?

As AI cuts the time needed to complete work, firms are scrambling to figure out how to price their services. Bloomberg Law reported that PwC, KPMG, and RSM are all exploring alternatives to hourly billing.

“This may be the thing that finally gets us there,” Kenji said about moving away from billable hours. “If I just used AI to help me get my work done and I’m cutting down my billable hours, I’m losing revenue.”

“You can bill for tokens,” David suggested, offering a provocative alternative.

He then vented about Earmark’s own token consumption across multiple platforms, including Claude, GitHub Copilot, Retool, ChatGPT, and more. “Two days ago, an automation stopped working,” he said. “We spent five plus people hours trying to increase our tokens and get the automation working again.”

The problem is, token costs are opaque and growing. David introduced two terms gaining traction: “token anxiety,” or not knowing what you’re being charged for, and “AI FinOps,” managing AI costs across platforms.

“There’s an opportunity here for firms to become a token expert and offer it as a service,” David suggested.

Blake’s take was more pragmatic. “It’s better than timesheets, that’s for sure.”

The Window Is Closing

The government that sets the rules can’t even audit its own books while declaring itself insolvent. Meanwhile, AI agents are automating core accounting work at a pace that makes the shift from paper to computers look gradual.

“These agents are actually now becoming a component of our workforce,” Kenji said. “You’ve got accountants and you’ve got agents. This is the future state we’re moving into.”

For practitioners, it’s clear that the tools to dramatically expand your capacity exist right now. But so does the threat of clients going straight to AI and bypassing your firm entirely. The window to adapt is open, but it won’t stay that way for long.

As Blake noted about current AI pricing, “When Uber was new, everything was really, really cheap.” The subsidies won’t last forever. To thrive, firms need to figure out the new economics now, whether that’s value pricing, token billing, or something else entirely. Those that don’t may find themselves as obsolete as the government’s ability to balance its own books.

Listen to the full episode for the complete discussion, including deeper dives into specific AI capabilities and Kenji’s firsthand perspective from inside an AI-native company.

Fake Auditor Conclusions, Fabricated Board Minutes, and the Growing Cracks in Accounting’s Trust Infrastructure

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A compliance startup allegedly sold hundreds of companies fake SOC 2 reports complete with made-up auditor conclusions and board meeting notes that never happened. In Florida, legislators nearly abolished the state’s Board of Accountancy entirely. And AI companies now run ads that sound exactly like QuickBooks marketing copy.

These are just some of the topics Blake Oliver and David Leary tackled in their latest episode of The Accounting Podcast. The hosts dug into stories that show the systems meant to ensure trust in accounting face threats from multiple angles.

The (Alleged) SOC 2 Scandal

“This is wild,” Blake said, thanking a listener for sending him a detailed investigation about Delve, a VC-backed compliance startup. The company allegedly created fake SOC 2 reports at scale, using what the hosts described as a disturbing playbook.

According to a Substack series Blake reviewed, Delve’s platform pre-populated everything from policies to evidence and even independent auditor conclusions. The company then allegedly routed these pre-written reports through audit firms that simply rubber-stamped them.

“These are allegations. I have not independently verified any of this,” Blake was careful to note. “This is a very in-depth Substack report by an anonymous poster. So we should take this with a grain of salt.”

But the details were alarming. The investigation claimed to find board meetings that never happened, security simulations that were never performed, and trust pages showing controls as “implemented” before any actual work was done. Companies had written policies claiming they had mobile device management, VPNs, and intrusion detection systems, even though they had none of these.

The author analyzed 322 public Delve trust pages and found that 321 showed the exact same SOC 2 control set, which seems odd for supposedly customized compliance programs.

“The logo you get is an AICPA logo, right? You’re getting a stamp of approval from the AICPA,” David said, cutting to the heart of the problem. “Is the AICPA checking on all these badges that are on company websites?”

Blake explained how easy it would be to game the system. “All you have to do is find a firm willing to sign off without actually doing the work,” he said, comparing it to the BF Borgers case in Colorado, where a CPA firm was caught signing off on audits it never performed.

“This is the problem with assurance,” Blake continued. “If you have a few bad actors willing to just sign off, sign off, sign off, they can make a lot of money. And how do they get caught? And if they get caught, what happens?”

Florida Almost Killed Its Board of Accountancy

While fake compliance reports threaten the profession from within, Florida’s legislature almost destroyed a key piece of regulatory infrastructure from the outside.

House Bill 607 would have eliminated the Florida Board of Accountancy along with other professional licensing boards as part of a sweeping deregulation push. The Florida Institute of CPAs called it “the most serious threat to the profession in decades.”

“How do you regulate the CPA in Florida?” Blake asked, explaining the stakes. Without a Board of Accountancy, there’s no enforcement mechanism, no oversight, and no one to investigate bad actors.

The bill moved quickly through two committees before being stopped. But victory came at a cost. To focus on defeating the bill, FICPA had to table its own effort to create alternative pathways to CPA licensure that would have allowed candidates to qualify with 120 credit hours instead of 150.

The irony wasn’t lost on the hosts. Florida was the first state to implement the 150-hour rule. Now, while about 30 states have approved alternative pathways, efforts to defend against total deregulation have sidelined reforms.

“We want to streamline licensure, but we don’t want it to go away,” Blake said. “We’ve got folks who want too much regulation, and then we’ve got folks who want no regulation. There’s got to be a middle ground here.”

David predicted this won’t be the last such attempt. “I imagine we’re probably going to see more pushes for this because people are going to want the big, huge AI companies to have their AI do CPA work without a license in the way.”

When AI Ads Look Like QuickBooks Ads

Speaking of AI companies, David discovered something unsettling through a targeted LinkedIn ad. Anthropic is marketing “Claude for Finance” using language that sounds exactly like traditional accounting software.

The ad promised to handle recurring financial workflows, organize receipts into clean spreadsheets, build quarterly revenue models, and cross-reference documents for month-end close.

“Third-party app developers and accountants and CPAs that use Claude essentially trained the model so they could just take everybody out of the middle,” David explained. He compared it to how the iPhone camera evolved. At first, you needed third-party apps for filters and editing. Now it’s all built in.

The hosts also discussed a Wall Street Journal article about how regular people are already using AI for tax work. Examples ranged from using Copilot to model Roth conversions to having AI explain confusing IRS notices. One person used Gemini to value charitable donations for their tax return.

“The takeaway is they’re avoiding getting an accountant or a tax professional,” David said bluntly.

But the technology isn’t perfect. One user found that Grok gave wrong answers about capital gains tax until he rephrased his question. A retired tax preparer tested ChatGPT on an IRS volunteer certification exam, and ChatGPT failed.

This leads to what David called the “fact check tax,” a term from Anthropic’s own survey. “An assistant that sounds sure but is often wrong forces you to treat everything as suspect. Instead of freeing attention, AI creates a permanent fact-check tax.”

The Bigger Picture

These stories paint a picture of a profession under pressure from multiple directions. Fake compliance reports undermine the attestation model. Deregulation efforts threaten the licensing framework. AI platforms are positioning themselves as replacements rather than tools.

As Blake noted about AI, “It’s going to be really hard for Intuit and Xero to keep up unless they’re just plugging into ChatGPT or into Claude. How can their own AI chatbots keep up with what these companies are doing, and how fast they’re developing?”

For accounting professionals, these are challenges that require attention and action. Listen to the full episode of The Accounting Podcast to hear Blake and David discuss these stories and more. 

The Privacy Excuse for Not Using AI in Accounting Just Lost Its Last Leg

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Blake Oliver needed to file a City of Los Angeles business tax return for his last remaining bookkeeping client. Instead of spending 30 minutes clicking through websites and copying numbers, he gave Claude Cowork a single instruction: “Search my email for info about the account and help me file it on the city website.”

What happened next, documented on a recent episode of The Accounting Podcast, shows exactly where the accounting profession stands with AI adoption. The AI agent searched Blake’s email, found the tax notice, extracted the business details from a PDF, logged into the city website, navigated to Xero to pull gross receipts, filled out the return, and drafted the client confirmation email. Total human involvement: one correction when it pulled accrual instead of cash basis numbers.

“This is a task that might take 15 to 30 minutes if you filled out a time sheet. Claude just did it,” Blake told co-host David Leary during their weekly news roundup.

The Numbers Show AI Closing In Fast

OpenAI didn’t just release another model update with ChatGPT 5.4. It specifically targeted the kind of work that fills an accountant’s day. As David read from OpenAI’s announcement, the company “put a particular focus on improving GPT 5.4’s ability to create and edit spreadsheets, presentations, and documents.”

The benchmarks back up that focus. Using something called GDPval—which measures performance on real-world knowledge tasks across 44 occupations—ChatGPT 5.4 now beats or ties industry professionals 83% of the time. On spreadsheet tasks specifically, it jumped from 68% accuracy to 87% in a single generation.

“It’s getting close to that 90% success now on everything,” David observed. For context, that means if you give an accountant and this AI the same spreadsheet task, the AI will match or beat the human’s performance nearly nine times out of ten.

Real Accountants, Real Work, Zero Software Costs

While Blake was experimenting with Claude for business tax returns, a developer went further. Fed up with TurboTax, he used Claude to complete a 42-page federal return plus two trust returns, all at zero software cost beyond his AI subscription.

His approach was surprisingly low-tech: Downloaded blank PDFs from the IRS, have Claude fill them out, then print and mail. The biggest challenge wasn’t getting the AI to do the calculations or understand the tax code. It was trying to make it work with the IRS’s online fillable forms. So he skipped that part entirely.

“The comments were like, ‘Can I quit doing my returns tomorrow? I’ve been waiting for this my whole life,'” David said, describing the reaction from tax professionals who saw the developer’s work on social media.

The timing is notable. These experiments happened during tax season, when practitioners are supposedly too busy to explore new tools. Yet here’s a developer replacing TurboTax with Claude, and Blake casually using an AI agent for client work.

The Privacy Excuse Just Disappeared

Most firms claim they can’t use AI because client data is too sensitive. This week, Zapier offered a solution to the privacy problem.

Its new AI Guardrails can detect over 30 categories of personally identifiable information, redact sensitive data before it reaches AI systems, block workflows when it detects problems, and identify attempts to manipulate the AI. You insert it as a step in any workflow, and it sanitizes the data before AI ever sees it.

“If you have client data being passed through Zapier into any AI tool, go add this step to your workflows,” David advised listeners.

Blake was even more direct about the implications. “I totally see this being a huge tool for accounting firms, because we have all this information we want to use with AI. But a lot of it is too sensitive. That’s the main reason most firms aren’t doing anything with it.”

Beyond AI: The Week’s Other Bombshells

While AI dominated the discussion, Blake and David covered several other major stories that accounting professionals need to know about, including:

The Botkeeper Collapse Gets Messier

In an interview with Accounting Today, CEO Enrico Palmerino claimed the company went from healthy to dead in eight days. But Blake uncovered how Botkeeper engineered its financials by selling their bookkeeping clients to a firm called Benchmark Cloud Accounting. It then had that firm buy a multi-million dollar Botkeeper license. “That is how you turn service revenue into SaaS recurring revenue,” Blake explained.

Iran’s Drone Economics

The cost disparity between Iran’s drones and America’s million Interceptor missiles raises questions about the financial sustainability of current military strategies. “We’re spending $3 million to shoot down something that costs $20,000 to $50,000,” Blake pointed out.

KPMG and Polymarket

Anonymous accounts on the prediction market Polymarket have been suspiciously successful at betting on earnings for companies audited by KPMG- (and only KPMG) audited companies. The amounts are small so far, but as David noted, “Are they doing it on the real derivative markets as well?”

Record 401(k) Withdrawals

Vanguard reports hardship withdrawals have tripled since 2020, jumping from under 2% to 6% of participants. Despite positive business sentiment, individual financial stress is climbing.

What This Means for Your Firm

General-purpose AI agents can complete multi-step workflows across email, accounting systems, and government websites. The privacy barriers that kept firms on the sidelines now have concrete, deployable solutions. The capability exists. The safety tools are live. The only question is timing.

Blake’s Claude experience offers a preview of the emerging division of labor. AI handles the execution, humans provide the judgment. The AI pulled the wrong basis for the numbers. Blake caught it. That’s where professional value lives now, not in the clicking and copying, but in knowing what the AI doesn’t know to check.

The message might seem poorly timed to practitioners overwhelmed by tax season. But accountants are eager for tools that eliminate the drudgery, even in the thick of deadline pressure.

Listen to the full episode to hear Blake walk through his Claude workflow step by step, get David’s take on what ChatGPT 5.4’s benchmarks really mean, and understand why the Botkeeper story matters for anyone considering AI-powered bookkeeping solutions. The episode reflects a profession at an inflection point—not in some distant future, but this week.

A Startup Claims AI Can Do Partnership Tax Returns Autonomously, But Where’s the Proof?

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Can an AI agent really complete a partnership tax return by itself? A two-year-old startup just raised $100 million claiming it can, but the hosts of The Accounting Podcast want to see the receipts.

In a recent episode, Blake Oliver and David Leary tackle the biggest AI claims hitting accounting right now. A startup called Basis says it built an AI that can prepare partnership tax returns autonomously. Intuit mentioned AI 150 times in one earnings call while announcing deals with both OpenAI and Anthropic. And new desktop tools let accountants automate recurring tasks without writing any code.

But that’s not all they covered. Trump’s tariffs were just ruled illegal, setting up a gold rush of refund claims. There’s finally a Senate bill to regulate tax preparers, because believe it or not, there are currently zero requirements. And one tax expert bet his life savings against DOGE and won.

A Billion-Dollar Claim (But Where Are the Receipts?)

The most jaw-dropping news comes from Basis, a startup founded in 2023 that just hit unicorn status. They raised $100 million at a $1.15 billion valuation, with money from Google Ventures and former Goldman Sachs CEO Lloyd Blankfein. The company claims it built an AI agent that can complete a partnership tax return autonomously.

Blake explained why this would be huge if true. “When you use TurboTax and you go through the wizard, it’s basically just taking your information and plugging that into the correct boxes on the forms. Partnership returns are much more complex because your balance sheet has to tie out, and you have to make all these adjustments and basis calculations. It gets really complex with the partners’ different shares of ownership.”

If Basis really pulled this off, accounting firms could skip having staff accountants prep these returns entirely. Everything would go straight to manager review. That’s a massive cost savings.

But David isn’t buying it without proof. “Their whole website’s optimized to raise money from investors,” he said. Until just before the fundraising announcement, Basis had no screenshots, videos, or demos anywhere. Its blog posts focus on the money they’ve raised and internal software development rather than showing how the accounting agents actually work.

“Where is this great blog post showing how they’re doing this return?” David asked.

Basis claims 30% of the top 25 accounting firms are “using” their software. But David, drawing from his Intuit days, knows better. “Using and using are not the same two words. A big accounting firm would buy 2,500 seat licenses for QuickBooks. A year later, they rolled out two to clients.”

Blake’s message to Basis was simple, “If you’re listening, we want to see it.”

Get Ready for the Refund Rush as Trump Tariffs Ruled Illegal

While everyone’s debating AI, there’s real money on the table right now from Trump’s tariffs. The Supreme Court ruled them illegal, and companies are scrambling for refunds.

“Eighteen hundred companies have already filed refund lawsuits against the federal government,” Blake reported. Big names like Costco, Goodyear, Barnes and Noble, and FedEx are in the mix. Through December 10th, at least 301,000 importers were subject to these now-illegal tariffs.

The kicker is Trump immediately announced new 15% global tariffs under a different law. But Blake thinks these are probably illegal too. “We have trade deficits, but we don’t have balance of payments deficits,” he explained. Trump is using a law from the 1970s when the U.S. was on the gold standard. Those conditions don’t exist anymore.

The administration’s own lawyers previously argued companies could get refunds if the tariffs were ruled unlawful. Now they’re stuck with that position. As one viewer commented during the livestream, “Only the richest companies will get tariff refunds, and consumers will get hosed in the end.”

“Offer this as a service at your firm,” David says, offering accountants a business idea. “Spin up a service and help importers get their tariff refunds.”

Intuit’s Playing Every Side of the AI Game

Intuit CEO Sasan Goodarzi mentioned AI about once every 30 seconds during the company’s recent earnings call, a total of about 150 times. But the real story is its strategy of partnering with everyone.

They’re working with OpenAI and Anthropic’s Claude. Plus, they’re building their own AI. David compared it to Microsoft in the late ’80s. “Microsoft was working on Windows. At the same time, they were in bed with Apple working on Mac OS, and they were working with IBM on OS/2. Nobody knew which OS was going to win.”

Intuit’s betting that no matter which AI platform wins, it wins too.

Goodarzi made an interesting point about why AI companies want to partner rather than compete. “Frankly, in some ways, this addressable market is too small for them to even worry about.” Accounting AI is tiny compared to the trillion-dollar AI market. These companies would rather partner with Intuit than build their own accounting platform.

The company claims its AI saves customers 12 hours per month on accounting and 17 to 18 hours a week on financial statements. But David called BS. “I just can’t imagine any small business owner spending 18 hours a week building a P&L or a cash flow statement—maybe one week a year.”

But Blake sees why Intuit will survive. “They have the data. They are the trusted database for accounting, financial, and tax information. Somebody could build a QuickBooks clone, but you’re not going to get everyone to switch.”

The AI Tools You Can Actually Use Today

While companies make billion-dollar bets, there are tools available right now that work. Blake’s current obsession is Claude Cowork, which can access files on your computer and click around your desktop.

“You could say every time a new file is added to this folder, look at it and analyze it and figure out what to do with it,” Blake explained. “Maybe I want you to plug those numbers into some practice management system. Maybe I want you to take that file and create an invoice.”

Blake built his own automation that takes meeting notes from Google, extracts all the tasks he committed to, and automatically adds them to his task list with due dates. “I don’t have to wait around for somebody to have that bright idea. I can just build it myself right now.”

The workforce impact is already showing up. According to a Kantata survey, 87% of professional services firms plan to manage AI agents as part of their workforce. But it’s changing the nature of work. The study found that while AI makes workers faster, people end up taking on more tasks and working longer hours without being asked.

For accountants, you’re either a reviewer or you’re in trouble. “It’s hard to get an entry-level job or a job where you’re the doer,” Blake said. “But if you are a reviewer or manager, if you have experience and you know what you’re looking at, you are super in demand.”

Other Big Developments This Week

Other news Blake and David covered in this episode includes:

  • A Senate bill to regulate tax preparers. There are currently zero requirements to be a paid tax preparer in the US. A new bipartisan bill would let the IRS deny or revoke preparer ID numbers and crack down on ghost preparers who don’t sign returns.
  • SEC considers biannual reporting. Public companies might only have to report twice a year instead of quarterly. Blake likes the idea. “One of the problems in the US is that companies are expected to beat earnings estimates quarter after quarter. It incentivizes them to make short-term decisions.”
  • Washington’s CPA problem. Washington State issued a record 2,086 CPA licenses last year, but 60% went to international candidates. You don’t even need a Social Security number to get a CPA license in Washington. “Is the accounting shortage actually getting solved, or is Washington just becoming a gateway for outsourcing?” Blake asked.
  • The DOGE bet. Alan Cole, senior economist at the Tax Foundation, bet $342,000 of his life savings that the Department of Government Efficiency wouldn’t cut spending. He won $128,000 when the government spent more in 2025 than in 2024. “We were smart enough. We could have done this,” David observed.
  • IRS scam alert. A Michigan man lost over $1 million to scammers claiming they needed to move his money to a “federal IRS locker” for protection. “Send all your clients an email telling them that this doesn’t exist,” David advises accountants. “It’s a good story. Your clients will open it, and it looks like you’re providing value.”

The accounting profession is at a crossroads. AI agents might really be able to do complex tax returns. Legacy software companies are scrambling to stay relevant. And the tools available today are already changing how work gets done.

But as Aaron Harris from Sage pointed out, “Technology shifts faster than customer trust.” And David added, “It’s probably even worse with accountants.”

Want to hear the full discussion, including why IBM lost $31 billion in market cap when Claude learned COBOL programming? Listen to the complete episode of The Accounting Podcast.

Which Accounting Firms Have the Happiest Employees? And Does It Even Matter Anymore?

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In episode 475 of The Accounting Podcast, hosts Blake Oliver and David Leary welcomed Dominic “Dom” Piscopo, CPA, from Big 4 Transparency to discuss his annual rankings of the best and worst accounting firms. What started as a conversation about job satisfaction and hours worked quickly evolved into a discussion on how AI startups might systematically dismantle the entire professional services industry.

The timing couldn’t be more striking. While Dom shared data showing Andersen topping the charts for employee satisfaction despite the stress of IPO readiness, the hosts were grappling with a different set of numbers. Intuit’s stock fell 33% in just 30 days, wiping out $110 billion in market value. Xero is down 22%. When an AI tax planning app called Hazel debuted, wealth management stocks plummeted. Raymond James dropped nearly 9% in a single day.

The Best and Worst Places to Work (While They Still Exist)

Before diving into the existential threats facing the profession, Dom shared his latest rankings based on over 21,500 data submissions from accounting professionals.

The winners surprised him. Andersen claimed the top spot for both job satisfaction (7.97 out of 10) and hours worked (averaging just 39 hours weekly). “I would have imagined that would have been a very tricky year for people at the firm,” Dom noted, given the IPO preparations. “But it seems like maybe the excitement, maybe some of the financial benefits have outweighed that.”

Plante Moran, last year’s champion, dropped to second place with a 7.73 satisfaction score, but the firm actually had the worst hours among all firms surveyed at 47.3 per week. “That hints to something else positive going on there,” Dom observed. “Might it be culture? Might it be compensation?”

Rounding out the top five were Weaver, Aprio (bucking the trend of struggling PE-backed firms), and Wipfli. On the other end, Citrin Cooperman posted the worst satisfaction score Dom has ever seen—just 5.13 out of 10. They were joined in the bottom three by MNP (a Canadian firm that acts like a PE-backed consolidator) and Cherry Bekaert.

The Big 4 landed squarely in the middle, with PwC slightly above average at 6.8 and the others hovering around 6.6. Tax professionals reported the highest satisfaction across all service lines at 7.05, while audit remained the lowest at 6.62, though both showed steady improvement year over year.

The Craigslist Prophecy

These rankings might soon become academic curiosities if a viral observation proves prophetic. Hunter Horsley’s tweet stopped David in his tracks. “In 2006, every section of Craigslist was a $1 billion marketplace startup waiting to happen. In 2026, every section of PwC’s website is a $10 billion AI startup waiting to happen.”

The parallel is haunting. Craigslist’s housing section became Airbnb and Zillow. Jobs turned into Indeed and ZipRecruiter. Dating spawned Tinder. One by one, entrepreneurs identified sections of the sprawling classifieds site, built specialized solutions, and captured massive value.

Now look at PwC’s service menu: audit, insurance, consulting, deals, digital assets, AI engineering, tax services. Each represents a potential target for AI disruption.

David had seen this movie before. “This is exactly what happened to QuickBooks desktop,” he explained. “Every menu in QuickBooks desktop got attacked by a SaaS startup.” Bill.com went after vendor payments. OnPay and others targeted payroll. Eventually, Intuit had to scramble to integrate or acquire these competitors.

But now the cycle is restarting with AI. As David put it bluntly, “AI isn’t going to take your job. It’s going to take away the business unit at the firm you work for. And then you won’t have a job.”

The Wealth Management Canary

Wall Street isn’t waiting for proof. Hazel AI is a tool that can ingest tax returns, pay stubs, and account statements to create personalized tax strategies in minutes. When it launched, the market’s reaction was swift and brutal.

Raymond James: down 8.87%. LPL Financial: down 8%. Charles Schwab: down 7%. These were established wealth management firms whose business models suddenly looked obsolete.

The consumer data explains why investors panicked. According to a Best Money survey, 82% of Americans now trust AI for financial information and guidance. More than half have actually used it, and of those who acted on AI’s advice, 65% said the outcome was good. Nearly two-thirds report their finances have improved since they started using AI.

Blake shared his own experiment. Facing a tax bill last year, he wanted to adjust his withholding. “I set up a ChatGPT project, took my pay stubs, dropped them in there, explained what happened last year, gave it my tax return, and said, ‘Help me adjust my withholdings.’ And it worked.”

This is exactly the kind of analysis CPAs charge for. But as Blake pointed out, the profession needs to stop asking whether AI will be as good as a human expert. The real question: “Is the AI going to be good enough to replace what I’m doing?”

For millions of underserved Americans who can’t afford professional help, AI doesn’t need to be perfect. It just needs to be better than asking coworkers at the car wash for tax advice, as David’s 19-year-old son was doing.

The Battle Over Data Moats

Intuit CEO Sasan Goodarzi and Xero CEO Sukhinder Singh Cassidy aren’t accepting the market’s verdict quietly. Both argue that Wall Street fundamentally misunderstands their competitive advantages.

Their defense is simply that data creates moats. Companies that “deeply understand their customers and own proprietary data” will win, according to Goodarzi. Singh Cassidy claims Xero’s “ecosystem of trust” makes cloning it “impractical.”

Blake thinks they might be right, at least about the general ledger. “QuickBooks has been dominant for so long because it’s the trusted general ledger system of record,” he explained. “To replace that trust is really difficult.”

The evidence supports this. Xero spent billions trying to crack the U.S. market and barely dented QuickBooks’ dominance. Even when Intuit makes unpopular changes like the despised new navigation bar, nobody switches. The friction is too high, the trust too important.

But the GL might be safe while everything around it burns. “AI is not going to disrupt the GL,” Blake argued. “What it’s going to disrupt is all the processes around it: what you do with that data, how you analyze it.”

TurboTax, for instance, looks vulnerable. Tax prep is essentially logic applied to forms, exactly what AI excels at. Blake proposed a thought experiment: create an AI agent for each IRS form, train it on the instructions, and link them together. You could potentially build a tax engine that way.

Meanwhile, “vibe coding,” using AI to build apps without traditional programming, is already replacing small business tools. Companies are building custom internal workflow apps, replacing $40-per-month SaaS subscriptions one by one. “When is it going to be ‘I’m going to vibe code my own QuickBooks?” David wondered. Not yet, they agreed. Accounting systems are too complex. But the question itself represents a shift in what’s possible.

What Survives the Disruption

Dom offered a crucial perspective on what endures when automation comes for professional services. “The human’s role often is to provide comfort and almost like taste, via their lived experiences and what they’ve seen with other clients,” he observed. Simple execution is at risk, but “where taste comes into play or lived experiences, I think that might be a little bit safer.”

He even noted an unexpected upside: bad TikTok tax advice has actually generated work for CPAs. People see questionable guidance online and seek professional validation. “It got the ball rolling for people to bring this forward because they know enough to know they shouldn’t just blindly follow this.”

The picture that emerges is complex but navigable. Systems of record, such as the trusted GLs that anchor financial data, appear protected by switching costs and accumulated trust. Advisory work that depends on those systems faces more immediate risk. And human elements like judgment, experience, the ability to comfort anxious clients, may prove surprisingly durable.

For practitioners evaluating their careers, understanding which category your work falls into becomes critical. Are you doing rote execution that AI can replicate? Or are you providing the wisdom, judgment, and human connection that clients will continue to value?

The firms that survive will find ways to layer human value on top of AI efficiency. That might mean AI-assisted services at lower price points with human review. It might mean focusing on complexity that AI can’t yet handle. But the first step is acknowledging that the market has already begun to move.

As accounting professionals consider their next career moves, Dom’s firm rankings offer one lens for evaluation. But the bigger question is which firms are positioning themselves to thrive in an AI-transformed landscape, and which are simply rearranging deck chairs? Understanding the satisfaction data and the disruption trajectory has never been more important for making that choice.

Listen to the full episode of The Accounting Podcast for the complete discussion, including more details on firm rankings and strategies for navigating the AI transformation.