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Tax pros embrace AI as fears of job losses are replaced by fear of missing out

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It wasn’t that long ago that tax professionals were wringing their hands over a hypothetical future where an army of robots mercilessly sent thousands of accountants to the unemployment line. That was back in 2016, and now, almost a decade later, the majority of tax professionals have done an about-face on AI and are ready to embrace it as a vital business resource.

According to a new report conducted by Thomson Reuters, there has been a seismic shift in attitudes toward generative AI among tax and accounting professionals. Nearly three-quarters (71%) now believe the technology should be applied to their daily work, up from 52% in 2024. 

What’s more, the percentage of tax firms already implementing gen AI technology has nearly tripled year-over-year, jumping from 8% in 2024 to 21% in 2025.

Gradual acceptance

The trend is a transformation in how professionals view AI technology, both internally and from a client perspective. Overall, 13% of firms indicate that gen AI is already central to their organization’s workflow, and 32% are expecting full integration within one year. A staggering 79% of tax and accounting firms expect significant gen AI integration by 2027, making the accounting profession one of the fastest-growing industries for gen AI acceptance in the professional services sector.

It’s clear that initial skepticism has rapidly given way to the recognition of gen AI’s potential to enhance productivity and client service delivery. That’s largely due to a number of market factors. For starters, early movers on the technology have already started to find their job roles have been optimized, not replaced. Meanwhile, firms that aren’t making use of gen AI for their tax and accounting work are increasingly being perceived by clients as behind their peers in terms of efficiency.

In fact, more than any other industry, clients want to work with firms that they perceive to be harnessing cutting-edge technology to improve their tax processes. Overall, 77% of clients from corporate businesses are looking to the tax firms working for them to use gen AI. Additionally, 14% have also instructed tax firms to use gen AI in their official tendering document compared to 8% of those who have instructed law firms to do the same.

Job security concerns fade

This huge uptick in adoption is largely due to tax professionals’ fading concerns about their job security. Of the firms using gen AI in their work, almost half (44%) are using the tools either multiple times a day, or daily, the most common uses being tax research (77%), tax return preparation (63%) and tax advisory (62%).

While it may have been trendy to predict a dystopian landscape, pragmatists realized years ago what tax professionals now understand: Artificial intelligence is a powerful augment, not a suitable replacement, for human ingenuity. Now, only 9% of tax, accounting and audit professionals view gen AI as a threat to industry jobs. A majority (54%) see minimal or no threat to employment.

The undefined future

While it certainly seems on the surface that the tax landscape has only been enhanced by the emergence of AI, organizations need to be prepared for the unexpected.  According to a recent Brookings report, tax preparers will be among the jobs most exposed to AI. While the report does not specify whether AI will aid workers or replace them, it does note that the technology is rapidly transforming several industries, which could affect many types of jobs in the future. Meanwhile, Thomson Reuters research shows 70% of tax firms say they have no formal policies governing gen AI use, which presents potential risks as implementation accelerates.

So, for all the justifiable excitement over the prospects of less stressful tax seasons and time saved, tax professionals still need to treat AI like a work in progress. Without question, the days of fear and doomsday prophecies are in the past, and organizations are now embracing the transformative journey of AI integration. As AI continues to evolve, it has the potential to revolutionize tax and accounting practices. Firms that can remain fluid and nimble in their approach will not only find the easiest path forward, but will reap the rewards: cue increased efficiency, reduced human error, enhanced client service, and the ability for professionals to focus on higher-value strategic work.

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Accounting

Mandatory ESG Reporting Standards Demand Standardized Non-Financial Audit Trails

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Mandatory ESG Reporting Standards Demand Standardized Non-Financial Audit Trails

Corporate accounting departments face an expanded regulatory mandate as mandatory sustainability and Environmental, Social, and Governance (ESG) reporting frameworks take full effect internationally. Governed by the European Union’s Corporate Sustainability Reporting Directive (CSRD) and the International Sustainability Standards Board (ISSB) IFRS S1 and S2 standards, enterprise financial controllers are now legally required to track, verify, and report non-financial data with the same internal controls and auditability as traditional financial statements.

The expansion shifts ESG compliance

This regulatory expansion shifts ESG compliance from marketing departments to corporate accounting offices. Financial managers are now responsible for gathering, consolidating, and verifying carbon emissions metrics, supply chain labor conditions, water usage, and climate risk exposures across multi-tiered corporate structures. These non-financial metrics must be integrated into standardized general ledgers to withstand rigorous third-party audit assurance processes.

To comply with these rigorous reporting mandates, accounting software providers have added dedicated ESG modules designed to aggregate data from IoT sensors, utility platforms, and vendor management systems. Controllers are implementing internal control frameworks—modeled after traditional COSO frameworks—to ensure the completeness, accuracy, and consistency of sustainability disclosures, protecting organizations against greenwashing penalties and litigation risks.

The transition requires significant cross-functional collaboration between accounting teams, legal counsel, and operational directors. Accounting professionals are expanding their technical expertise beyond financial ledgers to master carbon accounting methodologies, lifecycle assessment standards, and non-financial data governance protocols, fundamentally expanding the role of the modern corporate accountant.

Why This Information Matters
Mandatory ESG disclosures require companies to treat environmental and social metrics as audited financial records. Executives, accountants, and board members must institute formal tracking and assurance processes to satisfy legal mandates, maintain investor confidence, and mitigate regulatory non-compliance risks.

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Accounting

SEC’s Semiannual Reporting Proposal Faces Investor Pushback: What CFOs Need to Know

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U.S. Securities and Exchange Commission (SEC)

A proposal from the U.S. Securities and Exchange Commission to potentially shift some public companies away from quarterly financial reporting toward a semiannual model is drawing significant pushback from investors, even as it continues moving through the regulatory process. The debate has direct implications for corporate finance teams, auditors, and the broader transparency of U.S. capital markets.

What the SEC Proposed

According to a summary published by accounting advisory firm Cohen & Co., the SEC issued a proposed rule on May 19, 2026, aimed at simplifying financial reporting requirements for many U.S. public companies. The proposal would potentially reduce the frequency of certain mandatory disclosures from quarterly to semiannual, a structural change that has not been made to core U.S. reporting requirements in decades.

The proposal follows an extended debate within U.S. policy circles, with proponents arguing that reduced reporting frequency could lower compliance costs and free up management time for longer-term strategic planning rather than quarter-to-quarter results management.

Why Investors Are Pushing Back

Comment letters submitted in response to the proposal have been extensive, and according to Cohen & Co.’s review of the public record, investors “appear to be largely opposed” to the shift, viewing frequent interim reporting as a core benefit of U.S. capital markets relative to other jurisdictions.

Accounting and law firms have taken a more measured position, generally urging any changes to remain aligned with the Financial Accounting Standards Board (FASB), whose existing disclosure requirements and guidance are built around a quarterly reporting cadence. A shift to semiannual reporting without corresponding changes to FASB guidance could create friction between SEC filing requirements and GAAP-based disclosure expectations.

Lessons From the U.K. Experience

The debate is not without precedent. The United Kingdom moved away from mandatory quarterly reporting for listed companies in 2014, returning to a semiannual disclosure requirement. According to Cohen & Co.’s analysis, that experience offers a cautionary data point: there was no measurable increase in capital expenditure or R&D investment following the change, while analyst coverage of affected companies declined as reliable interim information became less available — a particular risk for smaller and newly public companies that rely on analyst coverage to maintain investor visibility.

Practical Implications for Finance Teams

Beyond the debate over disclosure philosophy, the proposal carries practical complications. Many companies have debt covenants and credit agreements structured around quarterly financial delivery; a shift to semiannual reporting could require renegotiating those terms. Reduced reporting frequency would also extend the “window of market silence” between disclosures, a factor that governance and investor-relations teams would need to manage carefully to avoid information asymmetry.

Separately, and unrelated to the reporting-frequency debate, the SEC and FASB have continued finalizing more routine updates this year. New Accounting Standards Updates are taking effect for December 31, 2026, fiscal year-ends covering income tax disclosures, credit loss measurement, induced debt conversions, and stock compensation, according to Eide Bailly’s review of 2026 ASU activity. Additional guidance on paid-in-kind dividends and environmental credits is also on the near-term horizon.

What to Watch Next

The semiannual reporting proposal remains in the comment and review phase, and no final rule has been adopted as of this writing. Finance leaders should monitor the SEC’s regulatory agenda for further movement, while treating the current quarterly reporting requirement as the operative standard until any final rule is issued and an effective date is set.

Given the extent of investor opposition documented in the comment file, a full shift to mandatory semiannual reporting appears more likely to result in either a scaled-back compromise or continued study rather than swift adoption — though the SEC’s ultimate direction remains uncertain.

 

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

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