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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.

Human Connection Still Beats AI in Accounting Despite What the Headlines Say

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Breaking news dominated a recent episode of The Accounting Podcast as hosts Blake Oliver and David Leary analyzed the Supreme Court’s landmark decision striking down Trump’s global tariffs. But the conversation quickly turned to what this means for accounting firms: a massive opportunity to help clients claim refunds on $133 billion in tariffs already paid.

The episode also digs into why taxpayers are losing trust in AI for tax preparation, how law firms are hiking rates to offset AI-reduced billable hours, and why human connection remains the profession’s secret weapon in an increasingly automated world.

A $133 Billion Opportunity Knocks

“The Supreme Court struck down Trump’s global tariffs in a six to three decision,” Blake announced at the start of the episode, barely containing his satisfaction at having predicted this outcome in previous episodes.

The court ruled that the International Emergency Economic Powers Act doesn’t authorize the president to set or modify tariffs, which are a form of taxation. Chief Justice Roberts, writing for the majority, emphasized that tariffs require clear statutory authorization from Congress, something the emergency powers act doesn’t provide.

But US businesses have already paid $133 billion in these now-invalidated tariffs. And while the court didn’t lay out a specific refund mechanism, those funds are potentially recoverable.

“I think there’s a big opportunity,” Blake said. “Smart accountants are going to jump on this.”

The opportunity mirrors the Employee Retention Credit (ERC) and Paycheck Protection Program (PPP) work that kept many firms busy during the pandemic. Firms will need to help clients identify affected entries, determine liquidation status, quantify refund amounts, and support administrative claims. If accountants charged even a small percentage fee for this service, Blake estimates it could generate “$1 billion to $10 billion in services revenue.”

David warned tariff refund mills will pop up just like ERC mills did, urging accountants to “beat them to the punch” by proactively reaching out to clients who import goods.

The situation remains fluid. Trump announced plans to impose new 10% tariffs under a different authority, using Section 122 of the Trade Act of 1974. But for now, accounting firms have a huge opportunity to deliver value to clients who’ve been paying these tariffs.

Why Taxpayers Are Backing Away from AI

While accountants scramble to understand tariff refunds, they’re also watching taxpayers lose faith in AI for tax preparation.

According to Invoice Home’s latest survey of 2,000 US tax filers, only 37% would consider using AI to file their taxes instead of hiring a professional. That’s actually down from 43% last year, despite all the AI hype.

“I think people are getting burned,” Blake observed. “The more you use AI, the more you recognize its failings.”

The generational breakdown shows younger taxpayers remain more open. Half of millennials and 46% of Gen Z would consider AI tax prep. But even they’re growing skeptical as they gain real experience with AI’s limitations.

Blake has a similarly nuanced relationship with AI. He described using ChatGPT to draft legal agreements with “flawless” results, completing in minutes what used to take hours. Yet he readily acknowledges that taxes are different. “Small errors can compound and create big problems.”

This declining trust should reassure tax professionals worried about being replaced. Taxpayers seem to understand intuitively that tax preparation requires expertise and accountability that algorithms can’t yet provide.

The $3,400-Per-Hour Question

Meanwhile, the legal profession is showing accountants the problem with simply jacking up rates when AI reduces billable hours.

Top partners at elite law firms now charge up to $3,400 per hour, with some niche specialties pushing $6,000. Partner rates jumped 16% last year among the 50 largest firms. Even junior associates can run clients $1,400 per hour.

“If there’s less work, there’s fewer billable hours, and they’ve got to make up the difference somehow,” David acknowledged.

But Blake sees disaster ahead. “Businesses are going to say, wait a minute, why am I paying $3,400 an hour for legal work that’s being done by AI?” He can now draft his own legal agreements using a $30-per-month ChatGPT subscription—work he previously would have paid lawyers to handle.

The absurdity peaked with news that KPMG Australia fined a senior partner $7,000 for using AI to complete an internal AI training exam. The same firm that’s publicly committed to spending $2 billion on AI globally.

“If you know how to use AI to cheat on the test, you’ve passed the AI test,” David pointed out. “Obviously, you have the skills to use the AI.”

The contradiction perfectly captures professional services’ confused relationship with artificial intelligence: desperately embracing it while simultaneously punishing those who use it too effectively.

The Power of Human Connection

The episode’s most compelling segment came from David’s interview with Dawn Brolin about the Accounting Cornerstone Foundation, which helps accountants attend their first professional conference.

The foundation raised about $45,000 last year and sent 11 people to conferences—each one potentially life-changing. But it’s not just about money. They help recipients overcome travel anxiety, select sessions, and find their tribe in the profession.

“We get on a Zoom with them,” Dawn explained. “We talk through their anxieties. We give them travel tips.”

One recipient has since become active on social media, attended more conferences, and regularly sends thank-you letters. His life changed because he met people who understood his challenges.

“AI will never replace human interaction,” Dawn emphasized. “It will never replace the human touch.”

This stands in sharp contrast to how many firms actually treat clients. David described his experience with his own accounting firm. “Subject line: ‘Reminder you have outstanding task.’ And then I open the email in a giant font that says ‘Outstanding Task to Complete.’ It’s a horrible experience. It creates anxiety.”

Compare that to Intuit’s new TurboTax campaign offering free Uber rides to their offices. They understand customer experience in a way many accounting firms don’t.

“Accounting firms focus on their internal processes too much and not the customer experience,” David argued.

Focus Time Is the Real Productivity Crisis

A Hubstaff study cited in the episode found that average workers only get two to three hours of true focus time daily without meetings, messages, or tool-switching.

The productivity struggles “weren’t about effort,” the study found. “It’s about constant disruption.”

Workers use an average of 18 apps each day. Hybrid teams report the least focus time (31%), while in-office teams get slightly more (45%). The differences are smaller than expected, suggesting the problem isn’t location; it’s how we work.

Even AI adoption isn’t helping. Despite 26% of firms now using generative AI daily (up from 3% three years ago), it hasn’t meaningfully changed how employees spend their time.

Looking Ahead

The paradoxes explored in this episode reveal a profession in transition. Taxpayers are losing trust in AI just as its capabilities advance. Law firms are raising rates to offset efficiency gains, creating an unsustainable value proposition. And the most transformative professional experiences still happen through human connection, not algorithms.

Here are the top three takeaways for accountants:

  1. Jump on the tariff refund opportunity before the mills do. This could be the next ERC-sized revenue opportunity for proactive firms.
  2. Don’t follow law firms down the path of inflating rates to maintain partner lifestyles. Clients with access to the same AI tools will eventually revolt.
  3. Invest in human connections and customer experience. Sometimes the most valuable service is simply helping someone find their professional community.

As Dawn reminded listeners, “There isn’t any competition in accounting” when professionals support each other. The same collaborative spirit should guide how the profession approaches AI—as a tool that enables more human connection, not a replacement for it.

Thriving firms use AI for efficiency while doubling down on relationships, advisory services, and the judgment that no algorithm can replicate. Listen to the full episode of The Accounting Podcast for complete coverage of these stories and more insights on navigating the AI-augmented future of accounting.

The Accounting Profession Is Growing—So Why Can’t New Graduates Find Jobs?

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Something strange is happening in accounting right now. The profession is growing, with employment for accountants projected to increase by 10% through 2026, faster than most other careers. Yet new accounting graduates are struggling to find jobs. How can both things be true at the same time?

In a recent episode of The Accounting Podcast, hosts Blake Oliver and David Leary tackled this paradox head-on, sparked by a sobering prediction from Anthropic CEO Dario Amodei: AI could displace 50% of entry-level white-collar jobs in the next one to five years.

“Accountants coming out of school are having a hard time getting jobs right now, which is strange,” Blake said during the discussion. “The profession is growing, but entry-level jobs are declining.”

The reason behind that paradox is AI is automating exactly the kind of work that new accountants traditionally cut their teeth on. And that’s creating a bigger problem than just unemployment. It’s threatening the way accountants have learned their craft for generations.

The Work That’s Disappearing

Think about what entry-level accountants actually do (or used to do). They gather documents for audits and organize them into folders. They copy last year’s work papers and update them with new numbers. They reconcile accounts, enter data, and basically do the grunt work that teaches them how financial information flows through a business.

These aren’t exciting tasks, but they serve a purpose. By doing this work, new accountants develop an eye for what looks right and what doesn’t. They learn where errors hide and build intuition.

Now, AI is making all of that work disappear.

During the episode, Blake described Anthropic’s new Claude Cowork feature. It’s AI that can literally click around on your computer as a human would. In one example, a journalist asked it to organize a messy folder of business receipts. The AI asked a few questions about how to sort them, then went to work. Five minutes later, it produced a clean Excel spreadsheet listing two years of expenses.

“File management, organizing folders, batch renaming, generating summary spreadsheets,” Blake noted. This is exactly the kind of work that used to take hours of a staff accountant’s time.

The capabilities keep expanding. Claude now has an Excel integration that lets you skip learning formulas entirely. Need to split a column with full names into separate first and last name columns? Just type what you want in plain English.

“All the Excel wizards are going to be in trouble,” David joked, “because I’ll be able to type in ‘put two more columns, first name, last name separately,’ and it’ll go do the formula for me.”

Another striking example is that Gusto now lets you run payroll directly through ChatGPT. Just type “@Gusto, help me run payroll” and have a conversation. No separate login or clicking through menus—just chat.

Where Do New Graduates Go Now?

This automation creates a problem that goes way beyond individual job losses. Most accountants start their careers in public accounting, doing exactly this kind of entry-level work. That’s how they learn the skills they’ll need to become managers and partners later on.

“Where do accounting graduates go to get their first jobs if they don’t go into public accounting?” Blake asked. “Who’s going to want to hire them?”

The challenge is that new graduates don’t have the experience to do the mid-career jobs that are actually in demand. They can’t review work they’ve never done themselves. As David put it, “They don’t have the skills to monitor AI yet, or know when AI is wrong.”

Workers sense this shift happening. According to a survey mentioned by CFO.com, 60% of U.S. adults believe AI will eliminate more jobs than it creates by 2026. Only 16% think AI could never replace what they do.

This fear is already changing behavior. Last year, 51% of workers said they’d quit if their company demanded a return to the office. This year, that number crashed to just 7%.

“The pendulum has swung back to employers,” Blake observed. “Employers have the power in the market.”

The Industry Starts to Respond

Some companies are beginning to tackle this problem, though it’s unclear if their efforts will be enough.

Intuit announced its most ambitious initiative so far: a program to upskill 1 million accounting students over the next five years. They’re focusing on “digital data and advisory skills,” basically teaching students to work alongside AI rather than compete with it.

The program includes online learning, mentorship, and certifications like QuickBooks ProAdvisor. It kicked off with a virtual event in early February about “Skills for the New Era of Accounting.”

But beyond formal programs, the hosts suggested that individual accountants need to change how they think about their work entirely.

“The most important skill in the AI era is going to be curiosity,” Blake argued.

He shared a practical tip for working with AI. Instead of trying to write the perfect prompt, have the AI ask you questions. His go-to addition to any request is, “First, ask me questions to clarify exactly what I’m looking for. After each of my answers, reply with your next question. Include a confidence score as a percentage. When you achieve 100% confidence, ask me to confirm I am ready for you to do the task.”

David added another crucial insight. “That ‘please wait until I say go’ is the most important prompt.” Without explicit instructions to wait, AI tools tend to race ahead with incomplete information.

A Paradox for Payroll Companies

The episode raised an interesting question about companies like ADP, which announced new AI agents for payroll and HR tasks. These agents can audit for errors, flag missing tax IDs, and answer HR questions using company handbooks.

But as David pointed out, there’s something odd about payroll companies embracing AI so enthusiastically. “If you believe AI is going to be important, that’s going to kill millions and millions of these jobs that get paid through ADP,” he said. If AI eliminates 50% of entry-level jobs, that’s potentially half of ADP’s revenue from running payroll.

Paychex mentioned AI 50 times in their recent earnings call. Investors are clearly asking hard questions about how payroll companies will survive if their customer base of employed humans shrinks dramatically.

What Happens Next?

The tools reshaping accounting are here now. Claude can organize receipts. ChatGPT can run payroll. AI agents can audit for errors. Every month brings new capabilities that used to require human hands and human hours.

The mismatch is striking. Technology advances in months, while professional training evolves over years or decades. Universities design programs on multi-year cycles. Firms have hiring patterns built over generations. Everyone assumes the entry-level work that has trained accountants forever will continue to exist.

That assumption is crumbling. The document gathering, data entry, and reconciliations are becoming prompts typed into AI interfaces rather than skills learned through repetition.

For firms, this means rethinking how new hires develop competence. For educators, it means teaching students to verify and question rather than just execute. For students and early-career professionals, it means learning to supervise technology rather than compete with it.

As Blake put it near the end of the episode, “I can be ten times as productive now doing everything I do with AI, and I don’t need to hire a huge team to do it.”

That’s great news for experienced professionals who already know their craft. For those just starting out, it’s an entirely different story—one the profession is only beginning to write.

Listen to the full episode of The Accounting Podcast for more insights on AI tools reshaping accounting workflows, practical prompting techniques, and updates from Intuit, Xero, ADP, and other platforms. Understanding how AI affects entry-level work is table stakes for anyone making decisions about talent and training in the years ahead.

The Accounting Profession Has AI Completely Backwards

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When Accounting Today surveyed industry thought leaders about AI’s impact on the profession, every expert agreed that AI would automate the boring stuff like bank reconciliations, data entry, and transaction matching while humans would rise to strategic advisory work. Not one thought their own job was at risk.

On a recent episode of The Accounting Podcast, hosts Blake Oliver and David Leary did something clever. They fed the same questions to ChatGPT, asking it to respond as an accounting thought leader. The AI’s answers were just as good as the human experts’.

“None of the accounting thought leaders think their job could be replaced,” David said, “which is crazy because essentially AI can at least do the thought leader job.”

Blake and David argue that the profession has AI’s impact exactly backwards. While everyone confidently predicts automation will eliminate mundane bookkeeping tasks, the technology actually excels at synthesis, narrative-building, and strategic analysis—the very work that defines “thought leadership.”

What AI Actually Does Well

The standard story about AI in accounting is machines will handle the boring, repetitive tasks while humans ascend to strategic advisory work. It’s comforting and logical. But according to Blake and David, it’s completely wrong.

“AI can take financial statement information and turn it into a narrative better than I can, better than almost anyone can at this point,” Blake states. “That’s what we should be using it for.”

Consider Mike Salvatore, a Chicago business owner with two cafes, two bars, and a bike shop. He used to analyze his cost of goods once or twice a year, spending hours crunching numbers. Now he does it every three weeks by feeding data from QuickBooks and his point-of-sale system into Google’s NotebookLM, which creates a podcast-style summary of his business performance. He sends these AI-generated recordings to his managers.

“It’s essentially my CFO,” Salvatore told The Wall Street Journal.

This isn’t AI doing mundane bookkeeping; it’s performing executive-level analysis and communication.

Blake’s own experience drives the point home. He built an AI system that turns news articles into detailed research notes and social media posts. That work used to eat up hours each week. He also trained an AI ghost writer on hundreds of his past writings. Now he can dictate a voice memo and get back a polished article in his own style.

“Basically, it has made it so, as ‘thought leader,’ I don’t do any of that anymore,” he admits. “It’s like I have a team that does that for me. I started working out and I’m just enjoying life.”

Meanwhile, the supposedly “easy” transactional work is stubbornly resistant to automation. David, who spent years taking QuickBooks support calls before co-founding the podcast, gets fired up about this misconception.

“Matching bank feeds is not bookkeeping. That’s just matching,” he argues. “Accounting is sending an invoice to somebody so they’ll pay me.”

He describes his recent struggle trying to upload an invoice to a client portal. It’s a “mundane” task that should be simple but isn’t. The process requires navigating confusing interfaces, making contextual decisions, and handling exceptions that don’t fit predetermined patterns. AI can’t do this reliably because it lacks the real-world context that humans take for granted.

The disconnect is striking. Thought leaders keep repeating the same message they’ve preached about cloud accounting for a decade: technology will free you up for advisory work. But as David points out, “I don’t think AI is freeing up your time to do that work yourself.” Instead, AI is doing the advisory work directly.

Are You Willing to See the Opportunity?

Where things get interesting is the same AI capabilities that threaten thought leaders create a massive opportunity for regular practitioners if they’re willing to see it.

Mike Salvatore, the Chicago business owner interviewed by the Wall Street Journal, wasn’t working with an accountant before. His AI “CFO” didn’t displace a human. He simply started getting insights he’d never received.

“Very few accountants serving Main Street businesses will actually do that kind of work for a price these business owners want to pay,” Blake explains. “So they do it themselves, but they don’t do it often and they don’t do it well.”

AI is filling a vacuum, not replacing existing services. And that vacuum is huge.

If a business owner can get advisory insights that are even 50-80% accurate from AI, that’s better than the nothing they’re getting now. The question for accounting firms is whether to let clients figure this out themselves or to offer AI-powered advisory services with professional oversight.

“Firms can feed data from clients’ QuickBooks files and their point of sale systems into these tools to generate AI analysis,” Blake suggests. “You can charge for it, because you’re adding the oversight—checking the numbers, making sure it actually makes sense.”

David connects this to a decade-old challenge. He remembers when LivePlan tried to train bookkeepers to offer business planning services. “They really struggled with it because they’re good at bookkeeping. But it’s hard to teach somebody to tell a story and create the narrative around the numbers.”

Now, “all those bookkeepers can basically offer that with AI out of the box and charge for that additional service.”

When ChatGPT (playing the role of thought leader) was asked what would make it worry about being replaced, it gave a revealing answer: clients accepting “AI-generated advice as good enough, even in ambiguous scenarios.”

Blake’s interpretation is blunt. “That’s what AI will fill—the gap in the market where accountants aren’t providing the service. There’s a big gap and there aren’t enough of us.”

Why Billable Hours Kill Innovation

One survey question asked about the “AI premium.” How much more should an AI-savvy accountant earn compared to an identical colleague who doesn’t use AI? The thought leaders said these employees should obviously be paid more.

Blake laughed at this. “How can you pay them more if you’re looking at them in terms of billable hours? AI is going to actually reduce their billable hours, not add more.”

If an employee uses AI to finish work in half the time, they bill half the hours. Under the traditional model, they look less productive, not more. Under the traditional model, “you should pay the AI employees less because they’re working less,” Blake points out.

This creates a ridiculous situation where your most innovative, efficient employees appear to be your worst performers.

Ryan Lazanis, who built and sold an accounting firm and now coaches other firm owners, has a different approach. He focuses on just two numbers: bottom-line profit and monthly recurring revenue. Not billable hours, utilization rates, or time per client.

“He is not breaking it down by client. He’s not looking at individual job profitability,” Blake explains. The only thing that matters is whether the firm made money over the year.

This makes sense because staff costs are fixed. “The amount of hours they spend has no impact on your profitability,” Blake notes. You only need to worry if one client is so demanding they prevent you from taking on others.

“You don’t have to track hours for months to figure out which clients are eating up your profits,” David adds. “You just go to your team and say, ‘Who’s the biggest pain in the ass client?’ And they’re going to tell you.”

There’s also a technical angle to consider. Blake cites research showing AI is nearly 100% accurate on tasks that take humans 4-5 minutes. That accuracy drops for longer tasks, but the threshold is “doubling every seven months.” By the end of 2026, AI might handle 10- to 20-minute tasks reliably.

But this only matters if firms can capture the productivity gains. Under billable hours, faster work just means more hours to fill. Under outcome-based metrics, faster work means more capacity for growth.

Is the AI Accounting Influencer Coming?

As the episode wraps up, Blake and David float an idea that captures the absurdity of the current moment. They’re considering creating an AI accounting influencer—a completely artificial thought leader to see if it can build a following comparable to real industry voices.

“Let’s make an AI accounting influencer and see if we can build its following to eclipse that of those real influencers,” Blake suggests. They could have it write newsletters, create content, maybe even land sponsorship deals.

It’s partly a joke, but it makes a serious point. If an AI can answer thought leadership survey questions as well as humans, write articles, and provide strategic insights, what exactly makes human thought leaders irreplaceable?

The answer might be less comfortable than the profession wants to admit.

Looking Ahead

The Accounting Today survey offered some important insights, though probably not what it intended. The people most confident about AI’s limited impact are those whose work AI does best. When ChatGPT generated answers indistinguishable from human experts, it demonstrated the very vulnerability those experts deny.

The real story is that AI excels at synthesis and narrative, which are the heart of advisory work, but struggles with the contextual, exception-filled world of everyday bookkeeping.

Firm owners should rethink their services to capture the advisory opportunity AI makes possible, and abandon billable hours before they strangle your ability to innovate.

For individual practitioners doing transactional work, the news is actually good. Your skills remain valuable precisely because your work requires the messy, contextual judgment that AI lacks.

And for thought leaders? As David observed with obvious frustration, the elitist attitude that “I’m better than you” has been in accounting for 30 years. “The reality is completely opposite. People are completely missing what’s really going to be replaced by AI.”

The race isn’t between humans and machines. It’s between practitioners who recognize AI’s true capabilities and those who cling to comfortable narratives while missing the transformation happening around them.

To hear more about Blake’s AI-powered lifestyle, David’s thoughts on what bookkeeping really is, and their plan to create an AI influencer that might outperform the human ones, listen to episode 469 of The Accounting Podcast.

Deloitte’s $440,000 AI Fabrication Scandal Exposes the Accounting Profession’s Deepest Fears

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A startup founder discovered $2.1 million in embezzlement by his co-founder in just 18 minutes using Claude AI. The company’s internal auditors, external auditors, and even the CFO had completely missed it. Meanwhile, Deloitte was forced to refund the Australian government hundreds of thousands of dollars after delivering a report filled with AI-generated fabrications.

In this episode of The Accounting Podcast, hosts Blake Oliver and David Leary dig into these stories. They explore how AI is both exposing massive frauds and creating embarrassing failures, examine the chaos from the government shutdown, and question whether traditional accounting services still matter when 86% of major companies use broken charts that nobody even notices.

When AI Catches What Humans Miss (And Creates What Shouldn’t Exist)

The accounting profession is experiencing an AI identity crisis. On one hand, artificial intelligence can spot complex fraud that teams of professionals completely miss. On the other hand, professionals are using it to generate work that looks legitimate but is actually riddled with fabrications.

Let’s start with Deloitte’s spectacular failure. The Big Four firm charged the Australian government $440,000 AUD (about $290,000 USD) for a 237-page report on welfare compliance systems. The problem? It contained over 20 AI-generated errors, including completely made-up quotes from federal court judgments and references to non-existent academic papers.

Chris Rudge, a Sydney University researcher, spotted the errors immediately. One fabrication attributed a non-existent book to constitutional law professor Lisa Burton Crawford on a topic completely outside her field. “I instantaneously knew it was either hallucinated by AI or the world’s best kept secret because I’d never heard of the book, and it sounded preposterous,” Rudge said.

Even after getting caught, Deloitte insisted its findings and recommendations were still valid. This prompted Australian Labor Senator Deborah O’Neill to observe that Deloitte has “a human intelligence problem.”

But here’s where it gets interesting. While Deloitte was using AI to create fake references, a startup founder used it to uncover real fraud. He exported his company’s QuickBooks data into Claude AI and asked one simple question: “What’s wrong with this picture?”

In just 18 minutes, the AI found what everyone else had missed: 17 fake companies routing $2.1 million to his co-founder’s personal accounts through shell companies. The AI spotted patterns humans overlooked, including fake vendors paid on 23-day cycles while real vendors were paid on 28-day cycles, and payment amounts that followed Fibonacci sequences, which humans subconsciously create when making up numbers.

The founder has since turned this into a business, selling AI-powered fraud detection prompts for $10,000 each to 47 clients. He’s probably making more money from his fraud-detection business than from his original startup.

As Leary points out, this creates both an opportunity and a threat for accounting firms. “The real risk of AI taking accounting jobs isn’t that AI will take the job away. Clients are just going to say, ‘I can do that myself. I don’t need to pay somebody $400,000 to do a half-assed ChatGPT thing.’”

Government Shutdown: When Critical Systems Break Down

The conversation then turned to the government shutdown’s impact on air travel and tax services. The situation has become genuinely dangerous, with cascading failures that reveal how fragile our systems really are.

Air traffic controller-related delays jumped from a typical 5% to 53% as workers called in sick rather than work without pay. Oliver experienced this firsthand when his flight was delayed for hours with no official explanation, though flight attendants privately blamed air traffic control shortages.

The scariest incident happened at Burbank Airport in Los Angeles, where the tower went completely unmanned. “When that happens, there is a backup procedure, which is that the pilots have to do their own air traffic control,” Oliver explains. “They get on a shared frequency and have to communicate with each other. There’s no intermediary. So that not only slows things down. It also creates risk. There’s a huge risk of these planes crashing into each other because they miscommunicate.”

The economic impact is staggering. The US Travel Association estimates $1 billion in weekly losses to the travel economy. Over 750,000 federal workers have been furloughed, while more than a million work without pay. For TSA screeners earning an average of $51,000, the situation is untenable. “If they don’t get paid, they are not paying their bills,” Oliver notes. “They’re going to go drive for Uber to pay the bills.”

The IRS shutdown creates serious problems for accountants. Nearly half of IRS staff have been furloughed. While electronic returns continue processing and automated refunds still flow, human support has collapsed. Phone support is essentially gone, paper returns sit unprocessed, and audits have stopped. Yet interest and penalties continue to accrue, and all deadlines remain in effect.

Adding to the chaos, Trump fired over 4,100 federal workers instead of furloughing them. The Treasury alone lost 1,446 employees, including about 1,300 IRS workers. “It’s the first time in modern history that mass firings have happened during a funding lapse,” Oliver observes.

The administration also created a new “CEO of the IRS” position to bypass Senate confirmation, appointing Frank Bisignano, former CEO of Fiserv, who still owns about $300 million in company stock. This creates obvious conflicts of interest, especially since Fiserv is involved in launching digital stablecoin initiatives. “This is why you have to have hearings. You can’t just appoint somebody to a position,” Leary emphasizes.

When Independence Becomes a Joke

Next, Oliver and Leary discussed how financial entanglements are destroying audit independence while regulators focus on trivial violations.

Take BDO’s current crisis as an example. The firm took a $1.3 billion loan at approximately 9% interest from Apollo Global Management to finance its employee stock ownership plan. The debt forced the company to lay off employees, freeze travel, and conduct emergency cost reviews across all divisions.

But while BDO was giving First Brands a clean audit opinion, Apollo was actively shorting the company. First Brands collapsed months after BDO’s clean audit. “If I’m BDO and I audit a company that is being shorted by a company I took a $1 billion loan from, where’s the independence?” Leary asks. “What is the fraud triangle? Opportunity, rationalization, and financial pressure. All the parts of the fraud triangle are here.”

Meanwhile, EY is celebrating a “dramatic audit quality turnaround,” with its deficiency rate dropping from 46% in 2022 to below 10% in 2025. They achieved this miracle by firing 132 public company audit clients. In other words, the problematic audits didn’t disappear. They just moved to Deloitte and KPMG. “Have we actually achieved anything here? Or have we just shifted the bad audits somewhere else?” Oliver wonders.

The hosts also discussed a new scheme where crypto promoters target CPA firm clients. The Truevestment Bitcoin Legacy Fund wants CPAs to help raise $150 million from their clients, which institutional investors will then match before merging into a Nasdaq entity—essentially a SPAC wrapped in Bitcoin speculation.

The marketing compares buying Bitcoin today to “buying the Dow at 900.” But as Leary points out, when the Dow was at 900 in the mid-1960s, it consisted of companies like AT&T and General Electric—”companies that made things” and created real value, not speculation.

Why Nobody Cares About Financial Reports Anymore

Perhaps the most damning revelation from the podcast’s recent news roundup is that 86% of major companies are using broken charts in their financial reports. A CPA Journal study found bar charts with misleading axes, pie slices that don’t match percentages, and deliberate distortions to exaggerate performance. Of 1,584 charts reviewed, 12% had fatal flaws that completely misrepresented the data.

“The fact that so many of them have errors and nobody’s pointing them out indicates to me that nobody’s reading them,” Oliver observes. Indeed, 10-K filings get downloaded an average of just a few dozen times.

The hosts even shared a bizarre example where social media bots criticizing Cracker Barrel’s new logo caused the stock price to tank. According to Wall Street Journal data, 44.5% of posts about the logo change were from bots. “Maybe nobody cares about your charts because nobody even cares about the financial statements,” Leary suggests.

What This Means for Your Firm

The key insight from Hector Garcia stuck with David: “AI is never going to do perfect accounting, but it’s going to do it good enough.” For most clients, “good enough” financials that they can generate themselves might be perfectly adequate.

Accounting professionals can embrace AI for meaningful fraud detection and insights, or watch clients realize they can generate “good enough” work themselves. As this episode of The Accounting Podcast makes clear, the traditional value proposition of professional accounting services is crumbling. The firms that survive will be those that identify and deliver human value that transcends what AI can do: strategic insight, ethical judgment, and genuine expertise that no algorithm can replicate.

Listen to this episode to understand not just the challenges facing accounting, but what you need to do differently starting today.