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AI implementation at firms grows 34% in one year

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AI productivity and search solutions represented the biggest growth area for technology implementations, yet the proportion of firms that actually use them remains in the minority. 

A recent survey from Wolters Kluwer found that the proportion of firms that implemented AI search and productivity solutions jumped from 1% in 2023 to 35% in 2024, a reflection of the rising interest in the technology by accounting professionals, with 53% viewing the adoption of AI in the tax and accounting industry positively. However, the proportion of firms that have integrated generative AI into their workflows remains the minority, just 27%, with an additional 22% planning to adopt the technology this year. 

Part of this lag is due to concerns over data security and privacy risks (44%), and accuracy (43%), but another reason is the perception of high costs to implement and monitor AI (35%). These concerns are consistent regardless of location, firm size or how positively or negatively one feels about AI adoption. If one wishes to get more granular, firms in the Asia-Pacific region cited limited knowledge of AI implementation as a major concern, firms in the EU were worried about degradation of skills, and firms in the U.S. expressed worry that their clients do not trust AI.  Wolters Kluwer noted, though, that the specific concerns a firm has tends to depend on how they view AI unto itself. 

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“Firms that view AI negatively often worry about its potential impacts on decision-making, job replacement and reduced personal contact with customers,” said the survey. “Conversely, enthusiastic firms are more concerned with implementation costs, lack of expertise, and potential challenges in integrating AI with existing systems. These concerns highlight practical adoption issues, rather than objections to the technology itself.”

In terms of how firms plan to utilize generative AI, the top use case at 60% was client communications, which could theoretically range from simple emails to newsletters to engagement letters and more. In second place, at 50%, was using it as a productivity tool or assistant; in third place, at 48%, was scanning documents and data directly into a form or workflow; in fourth place, at 46%, was conducting tax, audit and accounting research; and, in fifth, at 39%, was bookkeeping automation. 

The main benefits that accountants see in terms of AI include streamlining tasks (60%), automating processes (50%), reducing costs while boosting productivity (40%), and improving the accuracy of tax calculations (38%). However, 42% of firms that feel negatively about AI adoption are unable to see any positives at all. 

The survey found that the interest in AI, and in implementing AI solutions, scales with firm size. Microfirms, defined as those with one to four employees, were generally the most skeptical, with only 33% feeling positively about the impact of AI on the profession. Meanwhile, 54% of small firms (five to 19 employees), 61% of mid-size firms (20-49 employees), and 80% of large firms (50+ employees) felt the same. Wolters Kluwer also noted that, regardless of firm size, high performing firms are more likely to implement the use of this technology; 21% of such firms (defined as those that experienced revenue growth of 5% or more in the past year) intended to implement AI-enabled tools next year, versus 19% of firms overall.

The survey also found that at least some firms think AI might necessitate changes in billing models, as increased efficiencies will make the traditional hours-based fee structure problematic from a revenue perspective, though respondents seem divided on this matter. Those saying the chance of hours-based pricing being replaced by subscription or value-based pricing is slight or not at all likely were 43% of the sample, but those 29% thought it was at least somewhat likely and 28% said it was extremely or very likely. Wolters Kluwer noted, though, that firms are already starting to head in this direction. 

“This does not mean that firms are not changing business models: 19% of firms have recently changed their billing model to subscription or value pricing and an additional 19% of firms intend to make the change in the next year,” said the report. “The industry seems to be maintaining a cautious approach to changing established billing practices. However, this change may become essential to staying competitive, more so when considering the 29% of firms that find it ‘somewhat likely’ that billing models will change.” 

While AI search and productivity tools represented the biggest growth area in terms of technology implementations, in terms of absolute proportions it was only third. The survey found that 44% of firms implemented client accounting solutions (up from 25% the previous year), and 39% of firms implemented client portal solutions (up from 28% last year).

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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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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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