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EY beefs up use of AI amid $1B investment

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Ernst & Young is leveraging its $1 billion investment in talent and technology to expand the use of artificial intelligence and machine learning over the next four years. 

EY began using older technology over a decade ago for online detection analytics, but new forms of AI are enabling it to spot unusual outliers in audit data. “We started with Excel and went into business intelligence solutions, but we were dependent on our auditors basically spotting the outliers based on tables and charts,” said Marc Jeschonneck, EY’s global assurance digital leader. “The next frontier that we are now embarking on is really to use AI to detect anomalies.”

EY has been using a general ledger anomaly detector and is now embedding AI capabilities in its GL analyzer. “The one that is most used around the audit, with more than 800 billion line items of general ledger data analyzed per year, is actually the general ledger analyzer that we use in most of our audits,” said Jeschonneck. “In that tool, we’re now embedding online detection with time series regression to really go to the next step.”  

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Online detection analytics is just one of the ways the Big Four firm is employing AI technology. It’s also using AI for workflow recommendations. “All the firms have their own platforms, and so do we with EY Canvas, with more than 500,000 users in total clients as well as EY professionals,” said Jeschonneck. “We really embed with Canvas AI a recommendation engine into this platform.” It can help when identifying risks, harvesting news alerts and looking into ratios and KPIs of various sectors. 

AI in the EY Canvas recommendation engine shows auditors which risks other audit teams have seen with clients in similar sectors with similar profiles. “It really focuses their attention on what we think matters most,” said Jeschonneck. “Instead of starting from scratch based on the broader knowledge of the team just by themselves, it’s really harvesting from all of the other engagements here to spot those risks that matter most to the engagement.”

Another area where AI and machine learning are leveraged is document intelligence. AI is still limited in its mathematical ability, however, so the technology is mostly using older forms of machine learning for right now. “There is research in our pipeline to move the document intelligence to the next level, even using generative AI capabilities,” said Jeschonneck. “But to be fair, currently we don’t do that.”

Instead EY is using machine learning to craft models to identify any deviations from expectations in tables and disclosure notes. “The first thing that we are planning to use generative AI is when we help our people to improve their experience in summarizing comprehensive documents about accounting and auditing and to improve search results,” said Jeschonneck. “We are very much conscious that the quality of the respective results is highly 

dependent on the quality of the underlying data.”

Search and summarization capabilities will bring knowledge from the broader accounting and auditing teams to EY’s people in a more digestible format. 

EY is careful to balance the risk that comes with applying new technology compared to using more mature tools. 

“Exploring the benefits of the new technology, and making sure that you know about the respective risks, the guardrails that need to be put in place here, is essential for us, and you can expect that regulators and stakeholders around the world carefully observe how auditors explore these new technologies,” said Jeschonneck. 

Firms have to be careful about potentially exposing the data received from clients. “That’s one key consideration when using AI, that we not expose anything beyond the respective data privacy agreements with our clients,” said Jeschonneck.

The firm is careful when certifying solutions and working with regulators, making sure it does robust testing and has the documentation at hand, especially with new technology like generative AI. 

“We always distinguish between what our teams use to really generate audit evidence and what they use as technology to support the broader process,” said Jeschonneck. 

Auditors still have to do many routine administrative tasks, he noted, and they are able to use AI technology like Microsoft Copilot to boost their productivity.

EY works closely with Microsoft, using technology such as Power BI for business intelligence, as well as Microsoft Azure. 

The firm can also use AI technology to uncover fraudulent documents. “When we see falsified documents that were manipulated by people, AI is tremendously helpful for us,” said Jeschonneck. “As it gets easier for generative AI technology to potentially manipulate documents, the response here must be more comprehensive than just how these documents were altered.”

Machine learning and AI tools can help spot such anomalies in some cases more easily than a human being. “Even if you go for a monthly or daily time series, and you’ll have people spotting anomalies by comparing it to their expectation in simple line charts, we’re still dependent on things like the resolution of the screen, or people spotting the outlier by manually going and drilling down into tables,” said Jeschonneck. “But when the algorithms help you to detect those, at least your attention is focused on these first. Then we rely on the talent of our professionals here to really deep dive into those and further investigate.”

EY firms across the globe are leveraging such technology. “Many of the innovations that we have are actually harvested from our member firms from around the world,” said Jeschonneck. “Yes, we have a central team developing it, but we always rely on innovation coming also from the ground, from the people that work directly with our clients.”

The general ledger analyzer, for example, came from the U.S. firm, while time series regression analysis comes from a collaboration of people in Europe and the U.S. The general ledger anomaly detector started in Japan.

EY also provides training in AI to its people. “What we have here is the technology enabling our people, in the hands of professionals who are skilled and have access to the right training making the best use of the technology that we have,” said Jeschonneck. “Technology really gives new opportunities to the people.”

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Accounting

XcelLabs launches to help accountants use AI

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Jody Padar, an author and speaker known as “The Radical CPA,” and Katie Tolin, a growth strategist for CPAs, together launched a training and technology platform called XcelLabs.

XcelLabs provides solutions to help accountants use artificial technology fluently and strategically. The Pennsylvania Institute of CPAs and CPA Crossings joined with Padar and Tolin as strategic partners and investors.

“To reinvent the profession, we must start by training the professional who can then transform their firms,” Padar said in a statement. “By equipping people with data and insights that help them see things differently, they can provide better advice to their clients and firm.”

Padar-Jody- new 2019

Jody Padar

The platform includes XcelLabs Academy, a series of educational online courses on the basics of AI, being a better advisor, leadership and practice management; Navi, a proprietary tool that uses AI to help accountants turn unstructured data like emails, phone calls and meetings into insights; and training and consulting services. These offerings are currently in beta testing.

“Accountants know they need to be more advisory, but not everyone can figure out how to do it,” Tolin said in a statement. “Couple that with the fact that AI will be doing a lot of the lower-level work accountants do today, and we need to create that next level advisor now. By showing accountants how to unlock patterns in their actions and turn client conversations into emotionally intelligent advice, we can create the accounting professional of the future.”

Tolin-Katie-CPA Growth Guides

Katie Tolin

“AI is transforming how CPAs work, and XcelLabs is focused on helping the profession evolve with it,” PICPA CEO Jennifer Cryder said in a statement. “At PICPA, we’re proud to support a mission that aligns so closely with ours: empowering firms to use AI not just for efficiency, but to drive growth, value and long-term relevance.”

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Accounting is changing, and the world can’t wait until 2026

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The accountant the world urgently needs has evolved far beyond the traditional role we recognized just a few years ago. 

The transformation of the accounting profession is not merely an anticipated change; it is a pressing reality that is currently shaping business decisions, academic programs and the expected contributions of professionals. Yet, in many areas, accounting education stubbornly clings to outdated, overly technical models that fail to connect with the actual demands of the market. We must confront a critical question: If we continue to train accountants solely to file tax reports, are we truly equipping them for the challenges of today’s world? 

This shift in mindset extends beyond individual countries or educational systems; it is a global movement. The recent announcement of the CIMA/CGMA 2026 syllabus has made it unmistakably clear: merely knowing how to post journal entries is insufficient. Today’s accountants are required to interpret the landscape, anticipate risks and act with strategic awareness. Critical thinking, sustainable finance, technology and human behavior are not just supplementary topics; they are essential components in the education of any professional seeking to remain relevant. 

The CIMA/CGMA proposal for 2026 is not just a curriculum update; it is a powerful manifesto. This new program positions analytical thinking, strategic business partnering and technology application at the core of accounting education. It unequivocally highlights sustainability, aligning with IFRS S1 and S2, and expands the accountant’s responsibilities beyond mere numbers to encompass conscious leadership, environmental impact and corporate governance. 

The current changes in the accounting profession underscore an urgent shift in expectations from both educators and employers. Today, companies of all sizes and industries demand accountants who can do far more than interpret balance sheets. They expect professionals who grasp the deeper context behind the numbers, identify inconsistencies, anticipate potential issues before they escalate into losses, and act decisively as a bridge between data and decision making. 

To meet these expectations, a radical mindset shift is essential. There are firms still operating on autopilot, mindlessly repeating tasks with minimal critical analysis. Likewise, many academic programs continue to treat accounting as purely a technical discipline, disregarding the vital elements of reflection, strategy and behavioral insight. This outdated approach creates a significant mismatch. While the world forges ahead, parts of the accounting profession remain stuck in the past. 

The consequences of this shift are already becoming evident. The demand for compliance, transparency and sustainability now applies not only to large corporations but also to small and mid-sized businesses. Many of these organizations rely on professionals ill-equipped to drive the necessary changes, putting both business performance and the reputation of the profession at risk. 

The positive news is that accountants who are ready to thrive in this new era do not necessarily need additional degrees. What they truly need is a commitment to awareness, a dedication to continuous learning, and the courage to step beyond their comfort zones. The future of accounting is here, and it is firmly rooted in analytical, strategic and human-oriented perspectives. The 2026 curriculum is a clear indication of the changes underway. Those who fail to think critically and holistically will be left behind. 

In contrast, accountants who see the big picture, understand the ripple effects of their decisions, and actively contribute to the financial and ethical health of organizations will undeniably remain indispensable, anywhere in the world.

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Republicans push Musk aside as Trump tax bill barrels forward

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Congressional Republicans are siding with Donald Trump in the messy divorce between the president and Elon Musk, an optimistic sign for eventual passage of a tax cut bill at the root of the two billionaires’ public feud.

Lawmakers are largely taking their cues from Trump and sticking by the $3 trillion bill at the center of the White House’s economic agenda. Musk, the biggest political donor of the 2024 cycle, has threatened to help primary anyone who votes for the legislation, but lawmakers are betting that staying in the president’s good graces is the safer path to political survival.

“The tax bill is not in jeopardy. We are going to deliver on that,” House Speaker Mike Johnson told reporters on Friday.

“I’ll tell you what — do not doubt, don’t second guess and do not challenge the President of the United States Donald Trump,” he added. “He is the leader of the party. He’s the most consequential political figure of our time.”

A fight between Trump and Musk exploded into public view this week. The sparring started with the tech titan calling the president’s tax bill a “disgusting abomination,” but quickly escalated to more personal attacks and Trump threatening to cancel all federal contracts and subsidies to Musk’s companies, such as Tesla Inc. and SpaceX which have benefitted from government ties.

Republicans on Capitol Hill, who had —  until recently — publicly embraced Musk, said they weren’t swayed by the billionaire’s criticism that the bill cost too much. Lawmakers have refuted official estimates of the package, saying that the tax cuts for households, small businesses and politically important groups — including hospitality and hourly workers — will generate enough economic growth to offset the price tag.

“I don’t tell my friend Elon, I don’t argue with him about how to build rockets, and I wish he wouldn’t argue with me about how to craft legislation and pass it,” Johnson told CNBC earlier Friday.

House Budget Committee Chair Jodey Arrington told reporters that House lawmakers are focused on working with the Senate as it revises the bill to make sure the legislation has the political support in both chambers to make it to Trump’s desk for his signature. 

“We move past the drama and we get the substance of what is needed to make the modest improvements that can be made,” he said.

House fiscal hawks said that they hadn’t changed their prior positions on the legislation based on Musk’s statements. They also said they agree with GOP leaders that there will be other chances to make further spending cuts outside the tax bill. 

Representative Tom McClintock, a fiscal conservative, said “the bill will pass because it has to pass,” adding that both Musk and Trump needed to calm down. “They both need to take a nap,” he said.

Even some of the House bill’s most vociferous critics appeared resigned to its passage. Kentucky Representative Thomas Massie, who voted against the House version, predicted that despite Musk’s objections, the Senate will make only small changes.

“The speaker is right about one thing. This barely passed the House. If they muck with it too much in the Senate, it may not pass the House again,” he said.

Trump is pressuring lawmakers to move at breakneck speed to pass the tax-cut bill, demanding they vote on the bill before the July 4 holiday. The president has been quick to blast critics of the bill — including calling Senator Rand Paul “crazy” for objecting to the inclusion of a debt ceiling increase in the package.

As the legislation worked its way through the House last month, Trump took to social media to criticize holdouts and invited undecided members to the White House to compel them to support the package. It passed by one vote.

Senate Majority Leader John Thune — who is planning to unveil his chamber’s version of the bill as soon as next week — said his timeline is unmoved by Musk. 

“We are already pretty far down the trail,” he said.

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