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AI trust gap between execs, staff narrows but still a factor

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Accountants have grown more excited about AI overall, but there remains an enthusiasm gap between firm leaders and staff showing that management’s views are still out of step with individual contributors and staff in technology, operations and administrative positions. 

This is according to the State of AI in Accounting Report, authored by practice management solutions provider Karbon. Among firm owners, leaders and partners, AI enthusiasm has grown dramatically: the proportion who said they were excited about AI went from 41% last year to 63% this year, while 7% were skeptical or scared versus 8% last year. In contrast, among individual contributors and staff in technology, operations and administrative positions, the proportion of those excited went from 26% to 40% and those skeptical or scared went from 18% to 11%. 

This is in line with other research that shows a gulf of enthusiasm between the upper and lower echelons of a company over AI. A survey by Workday, for example, found that while 62% of business leaders (C-suite or their direct reports) welcome AI, only 52% of employees did. The survey also found that 23% are not confident their organization puts employee interests above its own when implementing AI. More recently, Slack found that while executive urgency to incorporate AI tools into business operations has increased seven times over the last six months, just 7% of desk workers consider the outputs of AI completely trustworthy for work-related tasks, with 35% of desk workers saying AI results are only slightly or not at all trustworthy.

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Karbon, however, noted that whatever employees may be feeling, AI usage continues to grow with 80% of accounting professionals reporting increased AI functionality in their existing software. While concerns remain, they are diminishing over time. 

“So, while some hesitation is natural—and necessary for a fully rounded discussion— attitudes towards AI in the accounting industry are increasingly more positive. Firm leaders especially are lighting the way forward,” said the report. 

Karbon’s report noted that executives are also 2.5 times more likely than individual contributors  to be excited about the prospect of using AI to forgo hiring staff in the next 1-2 years, which likely will not endear them to human staff members. 

The most common AI use case for accountants, at 63%, is communication: stuff like writing emails and fine tuning tone. Following this, at 41%, is task automation, followed closely behind by meeting transcripts, at 40%. Meanwhile, 39% are using it for research, 26% for marketing content, and 13% for financial forecasting and analysis. 

Time saved

The survey also found that AI solutions have saved accountants between 3.8 to 6.5 hours over a five day work week. 

A spokesperson from Karbon said they derived this figure based on self-reported data from poll respondents. The two relevant questions were “how much time do you estimate AI saved you per day at work?” and “Of the time saved by AI in administrative tasks, how much do you estimate is specifically related to AI helping with communication?” Beginner-level AI users saved an average of 46 minutes per day while advanced users reported time savings of 79 minutes per day. Overall, the report said 71% more time is saved by advanced users of AI than beginners. 

“By saving time, firm leaders are creating space for more meaningful work. In the future, accounting professionals may choose to, or be asked to, develop new advisory or technical skills to satisfy evolving client expectations, which means their capacity (and work-life balance) is just as important as their capability,” said the report. 

This result calls to mind a poll from last year released by business solutions provider Intapp, which found accountants reporting time savings of about 31 hours a week. Specifically, accountants said automating data entry saved them six hours a week, using voice queries saved them five hours, automating data summarization gave them seven hours, automating document generation provided seven more hours, and generating recommendations saved them five hours. The poll noted that professionals of all stripes believe that automation will provide positive dividends.

Accounting Today spent some time figuring out the nature of the discrepancy between these two polls. A spokesperson for Intapp said that the 31 hours figure was a projection based on accountants’ belief in how much time they could save using AI for a total of hours saved when applied to data entry, voice queries, data summarization, document generation, and recommendations on a weekly basis. The question was posed to both users and non-users of AI and reflected their expectations for the technology, rather than actual time saved. The spokesperson said Intapp is currently working on its next iteration of the survey and initial data suggests actual AI-driven time savings are in the 3–5 hours per week range.

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Accounting

FASB Standardizes Carbon Offsets Accounting Rules

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FASB Standardizes Carbon Offsets Accounting Rules

In a decisive move toward standardized environmental financial reporting, accounting standards boards issued updated implementation guidance during the week ending July 25, 2026, regarding the formal recognition and valuation of corporate carbon offsets and environmental credits. The revised frameworks establish precise rules for how enterprises must measure, record, and disclose carbon credits on balance sheets, eliminating years of inconsistent reporting practices across public capital markets.

Under the finalized accounting standard, purchased carbon offsets can no longer be categorized under vague administrative expenses or unstandardized intangible asset accounts. Instead, organizations must classify environmental credits based on underlying operational intent—distinguishing between credits held for immediate compliance compliance obligations, long-term offset obligations, or active market trading. Furthermore, companies are required to evaluate carbon holdings for fair value impairment at the end of each reporting period, ensuring that depreciated or low-quality environmental credits do not distort corporate asset values.

The standardized rules carry significant implications for corporate audit committees and chief accounting officers. External audit firms are implementing rigorous verification protocols to validate the physical legitimacy, legal ownership, and scientific permanence of carbon credits claimed on balance sheets. Inaccurate or overstated carbon accounting claims now carry substantial financial litigation risk, alongside potential regulatory enforcement for misleading ESG disclosures.

To remain fully compliant, corporate accounting departments must establish centralized carbon tracking systems integrated into primary standard ERP ledgers. Accounting teams that proactively adopt standardized environmental reporting protocols will build investor credibility, streamline annual audit processes, and insulate their organizations against evolving regulatory scrutiny.

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Accounting

Automated Tax Compliance Tools Reduce Risk

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Automated Tax Compliance Tools Reduce Risk

Corporate tax departments reached a critical juncture in automated operational management. With nations worldwide rapidly enacting digital service taxes, localized value-added tax (VAT) mandates, and real-time electronic invoicing requirements, manual tax calculations have become obsolete. Modern corporate tax divisions are aggressively deploying AI-driven tax engine software to automate complex cross-border indirect tax calculations in real time.

The imperative for automated tax compliance stems from the sheer complexity of current trade policies and multi-jurisdictional commerce. E-commerce platforms, software vendors, and global manufacturers face constantly changing regional tax rates, statutory exemption rules, and cross-border tariff structures. Automated tax engines embed directly into enterprise enterprise resource planning (ERP) architectures, automatically applying correct tax codes at the point of sale, calculating real-time withholding amounts, and generating compliant e-invoices.

Automated audit trail generation represents another key advantage of modern tax tech integration. Advanced compliance platforms log every transactional tax determination on immutable digital ledgers, providing tax authorities with transparent, self-verifying audit trails. This capability drastically reduces the operational duration and administrative cost of corporate tax audits, protecting enterprises against severe penalties resulting from calculation errors or missed reporting deadlines.

For chief financial officers and tax directors, investing in automated tax compliance is a vital operational risk mitigation strategy. Automating routine tax calculations frees high-level accounting professionals to focus on strategic tax planning, transfer pricing optimization, and risk management in an increasingly complex global economic environment.

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Accounting

Continuous Auditing Transforms Corporate ERPs

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continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

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