{"id":35711,"date":"2026-07-17T06:50:25","date_gmt":"2026-07-17T05:50:25","guid":{"rendered":"https:\/\/figsflow.com\/us\/?p=35711"},"modified":"2026-07-17T06:54:58","modified_gmt":"2026-07-17T05:54:58","slug":"will-ai-take-over-accounting","status":"publish","type":"post","link":"https:\/\/figsflow.com\/us\/will-ai-take-over-accounting\/","title":{"rendered":"The Future\u00a0for\u00a0Accountants: Will\u00a0AI Take Over Accounting?\u00a0"},"content":{"rendered":"\t\t
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GPT-3.5 failed the CPA exam with a 48% average score. Eighteen months later, GPT-4 scored 85.1%, including 91.5% on Auditing and\u00a0Attestation.That\u00a0is the number behind every “will AI take over accounting” headline this year. But passing a test and replacing a professional are not the same\u00a0thing.The\u00a0mistake most firms make is treating this as a talent question. It is a pricing question.<\/span>\u00a0<\/span><\/p>

No, AI will not take over accounting.\u00a0But it is already replacing the billable hours you used to charge for, and firms still charging 2022 rates for 2026 work are the ones\u00a0actually at\u00a0risk.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Is AI Really Taking Over Accounting Right Now? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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AI is not something accounting firms are still waiting on, ready to take over accounting overnight. It is already sitting inside the tools most firms use every day, quietly finishing tasks before anyone\u00a0has to\u00a0ask.<\/span>\u00a0<\/span><\/p>

Every task inside a\u00a0firm splits\u00a0into two kinds. One kind has a right answer once you have the data. The other kind needs someone to decide what the data means.<\/span>\u00a0<\/span><\/p>

Is this categorization right for this client? Is this variance a real problem or just noise? Does a number that looks fine actually hide something? Those questions still need a person. Software can show the data. It\u00a0can’t\u00a0decide.<\/span>\u00a0<\/span><\/p>

The first kind is already automated. A bookkeeper used to start the day matching yesterday’s bank feed to the ledger by hand. Now that happens overnight, and the transactions are already coded and matched before anyone logs in. Invoices get read and posted the same way, before a data entry clerk ever opens the file. A reconciliation that used to take an associate a full afternoon is now a five minute check of what the software already built. None of that ever needed a CPA’s judgment. <\/span><\/p>

This is the work that used to fill a junior accountant’s first year on the job, and it is the first to disappear. This is what people mean when they ask whether AI will take over accounting, and for this slice of the work, it already has.<\/span>\u00a0<\/span><\/p>

Just having the software is\u00a0not the same as\u00a0getting value from it. Some firms let AI code transactions, then still have a partner recheck every single one anyway. That does not save anyone time. The firms\u00a0actually gaining\u00a0from AI trust it with the routine work, then spend the time they save on review and advisory instead.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Which Accounting Roles Will AI Replace First? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Not every role carries the same amount of risk. Bookkeeping clerks and entry level staff are the most exposed, since so much of their week is routine work AI can already do. For everyone else, exposure depends less on job title and more on how much of the week is routine versus how much depends on judgment. That does not mean AI is going to replace accountants across the board. It means specific tasks, not job titles, decide who is exposed.<\/span>\u00a0<\/span><\/p>

The\u00a0<\/span>Bureau of Labor Statistics<\/span><\/a>\u00a0data shows this split clearly. Bookkeeping clerks are projected to decline by 6 percent between 2024 and 2034.\u00a0Accountants and auditors, on the other hand, are projected to grow by 5 percent over the same period, faster than the average across all occupations. Two closely related roles, heading in opposite directions.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Role<\/th>\n Task Exposure<\/th>\n AI Impact Today<\/th>\n <\/tr>\n <\/thead>\n
Bookkeeping clerks<\/td>\n Data entry, reconciliation, invoice matching<\/td>\n High, largely automated<\/td>\n <\/tr>\n
Staff and junior accountants<\/td>\n Month end journal entries, bank reconciliation<\/td>\n High on routine tasks, human review still required<\/td>\n <\/tr>\n
Tax preparers<\/td>\n Return drafting, data collation<\/td>\n Medium, AI drafts, a human still defends the position<\/td>\n <\/tr>\n
Auditors<\/td>\n Testing, anomaly detection<\/td>\n Medium, sign off stays human<\/td>\n <\/tr>\n
Controllers, advisory, CFO track<\/td>\n Strategy, client relationships, judgment calls<\/td>\n Low, demand rising<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The gap between those numbers is bigger than it looks on the surface. A junior accountant spending most of the week on journal entries and bank reconciliation shares more AI exposure with a bookkeeping clerk than with a controller, task for task. The job title survives.\u00a0<\/span>It’s<\/span>\u00a0just harder to get in.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Where AI Won't Take Over Accounting <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The work that still requires a human is the work that carries legal and professional liability, and no software update changes that.<\/span>\u00a0<\/span><\/p>

A CPA signs the audit opinion. A CPA\u00a0represents\u00a0a client before the IRS. Neither is a formatting task AI can\u00a0absorb, because\u00a0both carry personal professional liability that a model cannot hold.<\/span>\u00a0<\/span><\/p>

The same boundary applies to judgment calls that depend on context AI does not have. Detecting fraud often means reading intent and business relationships, not just flagged anomalies in a ledger. Interpreting a\u00a0gray\u00a0area in tax law for a specific client’s facts is a\u00a0defense, not a lookup.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Did you know?<\/span><\/span><\/strong>\u00a0<\/span><\/span><\/p>

GPT-4 scored 91.5% on the CPA exam’s Auditing and Attestation section.\u00a0<\/span>F<\/span>irms still\u00a0<\/span>require<\/span>\u00a0a licensed CPA’s signature on every audit opinion regardless o<\/span>f<\/span>\u00a0that score.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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What AI Can Do & What Still Needs You <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The line between the two is not about how hard a task is. It is about whether the task has a single right answer or needs someone to weigh context. AI is fast and\u00a0accurate\u00a0on the first kind. On the second, it can prepare the work, but a person still\u00a0has to\u00a0make the call and carry the responsibility for it.<\/span>\u00a0<\/span><\/p>

Here is how that split looks across the tasks that fill most of a firm’s week.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Task<\/th>\n AI Can Do<\/th>\n Human Must Verify<\/th>\n <\/tr>\n <\/thead>\n
Bank reconciliation<\/td>\n Match transactions, flag mismatches, build the draft<\/td>\n Whether a flagged mismatch is an error or a legitimate timing difference<\/td>\n <\/tr>\n
Transaction coding<\/td>\n Categorize entries based on past patterns<\/td>\n Whether the category is right for this client's specific situation<\/td>\n <\/tr>\n
Invoice processing<\/td>\n Read, extract, and post invoice data<\/td>\n Whether an unusual invoice signals fraud or a genuine one-off<\/td>\n <\/tr>\n
Variance analysis<\/td>\n Draft plain language commentary on what moved<\/td>\n Whether a variance is noise or a real problem worth raising<\/td>\n <\/tr>\n
Tax return drafting<\/td>\n Populate the return from source data<\/td>\n Whether a gray area position will hold up if challenged<\/td>\n <\/tr>\n
Audit testing<\/td>\n Scan full populations, surface anomalies<\/td>\n Whether an anomaly reflects intent, and signing the opinion<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Every item is a judgment call, not a calculation. This is why AI will not take over accounting outright, it hands the routine work back done, but the decisions in that right hand column stay with you, and that is the part clients still pay for.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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What the Spreadsheet Era Actually Proves About This Moment <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Spreadsheets changed ledger clerk jobs in the 1980s. AI is doing the same thing to bookkeeping clerks now. The job did not disappear. It just changed.<\/span>\u00a0<\/span><\/p>

Before spreadsheets, doing the books by hand was a paid skill. Then spreadsheet software became common, and that skill was no longer rare. Clients stopped paying extra for it. The accountants who did well next moved into analysis and advice instead, the kind of work software could not do.<\/span>\u00a0<\/span><\/p>

AI is doing the same thing, just faster. This time, it is not ledger entries that disappear. It is reconciliations, document summaries, and first draft tax returns. Every past scare about technology ends the same way. The software never replaced accountants. It just took over one task at a time.<\/span>\u00a0<\/span><\/p>

The lesson is the same. It is just happening faster now. Firms that wait too long will still be billing by the hour for work AI now finishes in minutes.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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What Should a Firm Actually Change This Year? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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None of\u00a0<\/span>this matters<\/span>\u00a0until it changes three\u00a0<\/span>things ,<\/span>\u00a0what you bill, what the engagement letter says, and what your team can do.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Reprice the Work AI Now Does for You <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Picture a bank reconciliation. An associate used to spend close to two hours matching transactions by hand, checking each one against the bank statement, and tracking down anything that did not match. AI now does that same work in a\u00a0few minutes. It matches the transactions,\u00a0flags the ones that look off, and leaves a clean\u00a0file ready\u00a0for review.<\/span>\u00a0<\/span><\/p>

This changes what a\u00a0firm can honestly charge\u00a0for that work. If\u00a0a task now takes minutes instead of\u00a0hours, charging the old hourly rate stops making sense. The client may not understand exactly what the software did, but they notice the result. Something that used to take a\u00a0few days now comes back the same afternoon, and clients start to ask why they are paying the same amount\u00a0for it.<\/span>\u00a0<\/span><\/p>

Firms that handle this well do not cut every\u00a0fee across the board. Instead, they lower prices on the routine compliance work, the kind AI now\u00a0handles, since\u00a0that part genuinely costs the\u00a0firm less time to deliver. At the same time, they raise prices on advisory work, like tax planning or\u00a0financial guidance, because that part is still built entirely on a person’s judgment. That is where the real value sits now, and it is worth charging\u00a0for accordingly.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Put the New Scope in Writing <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Think about an engagement letter written back in 2023. It\u00a0probably describes\u00a0a bookkeeping service that assumes someone manually enters and reconciles transactions each month. That is not how the work gets done anymore. AI now handles most of\u00a0that automatically, and the letter never says so. When a client asks why they are paying the same\u00a0fee\u00a0for what looks like less manual work, the\u00a0firm has no clause to point to. That gap between what the letter says and what\u00a0actually happens\u00a0is exactly where scope creep and\u00a0fee arguments start.<\/span>\u00a0<\/span><\/p>

Fixing this means going back through every service that changed speed or method and rewriting what it\u00a0actually includes, not just adjusting the price at the bottom. Doing that by hand across dozens of\u00a0templates and hundreds of\u00a0clients is its own slow, error prone project.\u00a0Firms are handling it with tools like\u00a0<\/span>FigsFlow<\/span><\/a>, which lets a\u00a0firm rebuild a service description and its pricing logic together, in one pass, instead of\u00a0retyping the same clause into every template one at a time.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Build the Skill Set Clients Will Pay For <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The\u00a0<\/span>AICPA launched its Profession Ready Initiative<\/span><\/a>\u00a0in\u00a0February 2026, and it names this skill gap directly. It says early career CPAs need three things most of\u00a0all. Comfort using AI tools day to day. The ability to check AI generated output and catch when it is wrong. And basic data visualization skills, things like reading a chart in Power BI or Tableau. None of\u00a0these are the deep technical accounting knowledge that used to define a strong junior hire.<\/span>\u00a0<\/span><\/p>

None of\u00a0that means learning to code or becoming a data scientist. It means treating a dashboard the same way accountants have always treated a general ledger, as a working document you read closely, not a screen you glance at and trust blindly. A junior accountant who can look at an AI generated variance report and\u00a0immediately\u00a0spot the one number that does not make sense is more valuable now than one who could build that report by hand.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Where the Advisory Premium Is Actually Heading <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The\u00a0fastest growing roles inside accounting did not exist\u00a0five years ago, and that alone argues against a shrinking profession.<\/span>\u00a0<\/span><\/p>

Firms\u00a0are creating AI compliance officers to keep AI use ethical and audit ready, exceptions managers to handle what automated systems\u00a0flag but cannot resolve, and AI audit reviewers overseeing\u00a0full visibility audits instead of\u00a0samples.<\/span>\u00a0<\/span><\/p>

The CPA credential is what makes a professional eligible to\u00a0fill any of\u00a0those roles. AI adoption did not weaken that credential. It raised the price of\u00a0holding it. None of\u00a0this argues that AI will replace accountants, or that it will take over accounting outright. It argues that the value of\u00a0being one just moved.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Conclusion <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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So, will AI take over accounting? Not the profession, no. It takes over the billable hour, then hands that time back to spend on work worth more than the hour ever was.<\/span>\u00a0<\/span><\/p>

The\u00a0firms that reprice, rewrite the engagement letter, and build the new skills this year hold onto their margin. The ones that wait will watch a competitor quote the same job\u00a0for less, because that competitor’s AI already covers the part the client stopped valuing.<\/span>\u00a0<\/span><\/p>

So\u00a0before your next engagement letter goes out, read it once more. Does it describe the work you deliver today, or the work you delivered in 2023?<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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FAQs<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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AI is part of\u00a0accounting’s\u00a0future, not the whole of\u00a0it. It already handles data entry, reconciliation, and\u00a0first draft reporting, the routine work that used to\u00a0fill junior roles. But the\u00a0future of\u00a0the profession sits in advisory work, judgment, and client trust, areas AI supports but cannot own. The accountant’s role shifts\u00a0from processing numbers to interpreting them.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t

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AI will reshape accounting by automating the routine layer and raising the value of everything above it. Reconciliations, coding, and document review move to software, while accountants spend more time on advisory, planning, and interpreting results. Firms will reprice compliance work downward and advisory work upward. New roles, like AI compliance officers and exceptions managers, will\u00a0<\/span>emerge<\/span>\u00a0around managing the technology itself.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tWill automation and artificial intelligence affect the future of accounting?\t\t\t\t\t\t\t<\/span>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t
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Yes, but not by replacing accountants. Automation removes the repetitive tasks, bank\u00a0<\/span>f<\/span>eeds, invoice matching, and reconciliation, that once took hours by hand. That changes what\u00a0<\/span>f<\/span>irms can charge\u00a0<\/span>f<\/span>or compliance work and pushes value toward advisory services built on human judgment. The job title survives. What changes is the daily work inside it and the skills\u00a0<\/span>f<\/span>irms hire\u00a0<\/span>f<\/span>or.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tHow is AI transforming the accounting industry?\t\t\t\t\t\t\t<\/span>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t
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AI is transforming accounting by taking over the paperwork layer, coding transactions, matching invoices, and drafting reconciliations overnight. This\u00a0frees accountants to\u00a0focus on analysis, advisory, and client relationships. It also shifts\u00a0firm economics, since work that once justified billable hours now takes minutes. The\u00a0firms gaining most are those redesigning their workflow and pricing around AI, not just switching the tools on.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

GPT-3.5 failed the CPA exam with a 48% average score. Eighteen months later, GPT-4 scored 85.1%, including 91.5% on Auditing and\u00a0Attestation.That\u00a0is the […]<\/p>\n","protected":false},"author":42,"featured_media":35712,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[67,6],"tags":[],"class_list":["post-35711","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-accountants","category-blog"],"acf":[],"_links":{"self":[{"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/posts\/35711","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/users\/42"}],"replies":[{"embeddable":true,"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/comments?post=35711"}],"version-history":[{"count":8,"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/posts\/35711\/revisions"}],"predecessor-version":[{"id":35765,"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/posts\/35711\/revisions\/35765"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/media\/35712"}],"wp:attachment":[{"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/media?parent=35711"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/categories?post=35711"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/figsflow.com\/us\/wp-json\/wp\/v2\/tags?post=35711"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}