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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.

From Ticking and Tying to Selling Out Arenas: How One Auditor Became EDM Royalty

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A former Big Four auditor traded spreadsheets for turntables and now commands 11.8 million monthly Spotify listeners, sells out Madison Square Garden, and has racked up over two billion career streams. His name is John Summit, and he might just be the most famous accountant in the world.

On a recent episode of The Accounting Podcast, hosts Blake Oliver and David Leary dove into John’s remarkable transformation from EY auditor to global EDM superstar. His career change story captures something profound happening in the accounting profession right now.

From Audit Room to Arena Stage

“If you’re into electronic music, then you know who John Summit is,” Blake explained to David during the episode. 

The numbers tell an incredible story. John—born John Walter Schuster in Naperville, Illinois—followed the traditional accounting path at first. He earned his undergraduate and master’s degrees in accounting from the University of Illinois Urbana-Champaign. From 2018 to 2019, he worked as an auditor at EY in Chicago, starting at $65,000 a year while DJing on weekends.

Blake even pulled up John’s CPA license during the show. “I went to the Illinois Department of Financial and Professional Regulation, and I looked him up by his original name,” he said. The license was active in 2018 and expired in 2022, right around the time John’s music career went stratospheric.

Today, John’s success metrics are staggering. His debut album “Comfort in Chaos” hit number two on the Billboard Top Dance/Electronic Albums chart and cracked the Billboard 200’s top 40. He headlines festivals like Coachella and Tomorrowland, and his own festival, Experts Only, draws 50,000 attendees.

Leaning Into the Accounting Story

What makes John unique is how he’s embraced his accounting past. His new album “CTRL Escape” drops on April 15th, Tax Day, and the cover art shows him sitting atop office ceiling tiles, the corporate world below giving way to open sky above.

“He’s dropping one track from the album every Wednesday,” Blake noted. “And the reason he’s doing it on Wednesday is that he remembers Hump day being the toughest day in the office.”

The album’s merchandise had David cracking up. “Crappy accounting firm swag. This is great,” he said, looking at the offerings. “It’s a backpack that says Summit CPAs, a pen that says Summit CPAs. This is so great he’s leaning into it like that.”

The music video for “Lights Go Out” drives the theme home. John appears in an oversized tan suit at “Summit CPAs,” working at an old green-screen computer before leading his fellow office workers in what Blake described as “basically like an accounting firm turning into a rave.”

The Profession John Left Is Disappearing

Blake and David’s conversation takes a darker turn when they discuss Botkeeper. One of the original “AI bookkeeping” startups announced it was shutting down after 11 years.

“They did the typical tech company ‘fake it ‘til you make it,’” David explained. Botkeeper promised AI-powered bookkeeping but was actually using offshore accountants in the Philippines. When real AI technology finally arrived through companies like OpenAI and Anthropic, investors weren’t interested in funding a company that had burned through capital on the false promise.

It wasn’t just Botkeeper. Jenesys, a UK-based AI bookkeeping startup, also entered a formal sales process after key investors pulled out. Clearly, the old model of pretending to have AI while using human workers is dead.

Meanwhile, companies with actual AI capabilities are thriving. Tax AI startup Accrual raised $75 million, Audit AI startup Fieldguide raised $75 million, and Pilot announced what it called an “AI accountant,” a fully autonomous system capable of running end-to-end bookkeeping with “zero need for human intervention” in typical cases.

Why Tax and Audit AI Are Different

Blake explained why investors are pouring money into tax and audit AI while bookkeeping AI companies struggle.

“When we moved to cloud bookkeeping and accounting, we were able to set up rules-based systems,” he said. “You can still automate 80% of bookkeeping work today with just the old tech.”

But tax and audit are different beasts. “Those areas of accounting were not automatable with rules-based tech, because there are too many gray areas, there’s too much complexity. But AI is starting to handle it really, really, really well.”

To illustrate the point, Blake shared his own experience with Claude, Anthropic’s AI assistant. He gave it access to a folder of scanned documents that his scanner had poorly named and asked it to organize them.

“It created a whole logical folder structure. Different types of files, receipts, legal documents, statements,” he said. “And then it put all the documents into those folders and renamed all the documents based on the content of the PDFs. And it did this in minutes.”

“You can get that if you’re a pro subscriber for like $20 a month. It’s incredible.”

The Entry-Level Jobs Are Vanishing

This AI revolution is having a profound impact on accounting careers. Technology is automating routine tasks that once defined entry-level positions at breakneck speed.

“We’re seeing reductions in entry-level jobs, not reductions in mid-career or later-stage career positions,” Blake observed. “It’s really, really hard to find a tax manager. Nobody can find a tax manager for their public accounting firm.”

The work being automated reads like a first-year auditor’s job description. “Requesting documents from clients, receiving and organizing them, rolling forward prior year workpapers, ticking and tying. AI is starting to do all of that stuff.”

As a result, “it’s really hard to get a job as a staff accountant because nobody wants to train you and they don’t have work to give you to justify the cost of training you for several years.”

Even the Big Four Feel the Pressure

In an ironic twist, even KPMG International is feeling the AI pressure. The firm recently pushed its own auditor, Grant Thornton UK, to lower its audit fee by 14%, arguing that AI-driven efficiencies should reduce costs.

“The negotiations reportedly included pressure tactics, where KPMG threatened to switch auditors if Grant Thornton didn’t agree to a significant reduction,” Blake said, citing Financial Times reporting.

The fee went from $416,000 in 2024 to $357,000 in 2025. As Blake wryly noted: “I think KPMG ought to watch out, because now clients are going to ask for the same fee reduction.”

The Pyramid Is Crumbling

This pressure on fees creates a domino effect. Lower fees mean less money for staff. Fewer entry-level positions mean the traditional pyramid model of public accounting, where large numbers of junior staff support a small number of managers and partners, is collapsing.

“The whole model is going to have to shift,” Blake said. “The pyramid model of accounting is going away. And that’s going to fundamentally change our profession, because that’s been the way everyone got into accounting for a hundred years.”

Blake predicted that within five to ten years, timesheets and time-based billing will disappear entirely. The firms that survive will abandon the old model of counting hours and bodies.

There is a silver lining for those who adapt. Blake shared his own experience. “I saw a 5x increase in my revenue just as a freelancer” after embracing cloud technology. His effective hourly rate went from $20 to $100, and his workload actually decreased.

The Escape Route Is Closing

John Summit celebrates his escape from accounting through music that resonates with millions who understand the cubicle grind. He drops tracks on Wednesdays because that was the hardest day to push through. He releases albums on Tax Day. He sells fake accounting firm swag as merchandise.

But the entry-level accounting experience he’s immortalizing—the fluorescent lights, the routine tasks, the path that led him from college to Big Four—is rapidly disappearing. Future accountants may never know that particular grind because the jobs simply won’t exist.

Accounting will likely survive with higher earnings for those who remain and adapt. But the traditional path into the profession will evolve.

As David suggested during the show, if you’re Summit CPAs—a real accounting firm that happens to share the name—you might want to figure out how to capitalize on all the traffic coming your way. Because in a profession being reshaped by AI, you need to grab opportunities wherever you find them.

For the complete discussion of John’s journey, the AI transformation of accounting, and what it means for the profession’s future, listen to the full episode of The Accounting Podcast.

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.