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Accounting

AI leaders on: the progress, promise and peril of AI

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Accounting’s AI revolution not only continued into 2024 but actually seemed to accelerate, as it has now become near impossible to go to a conference, sit in a strategy meeting or even shop for new software without hearing those two famous letters, often preceded by the word “generative” and followed by the word “powered” or “driven.” This might seem rather strange, as around this time last year we were marveling at how far AI had come in such a short time, and yet at the end of 2024 we find ourselves in this place once more as the current generation of AI tools makes last year’s seem almost quaint. 

This is why, in our second annual AI Thought Leaders Survey, we asked experts in the field what they thought of the past year. The field of AI is both vast and ever-changing, and we wanted to see what people deeply enmeshed in AI in accounting thought of all the changes they’ve seen this year. 

Many noted that AI has gone from being a novelty or an experimental tool in many cases to being a practical, widely-adopted technology integral to daily operations. In this respect, even those who may not consider themselves tech-savvy are now using sophisticated AI tools that would have seemed like science fiction as little as ten years ago. Strategic decision-making, advanced analytics, and personalized client interactions are just the tip of the iceberg when it comes to use cases for accountants. 

“At the beginning of the year, AI in accounting felt like an emerging trend that many were watching from the sidelines,” said Kacee Johnson, vice president of strategy and innovation at CPA.com, talking about the noticeable shift since then. “It’s no longer just about automation; the conversations have evolved to exploring how AI can enhance advisory roles, improve decision-making, and solve capacity challenges. I’ve seen more professionals embracing AI as a tool they need to understand and leverage, not just something that might affect their work down the line.” 

The speed at which AI has advanced this year impressed many, especially its generative capabilities and its application to data both structured and unstructured. In a short time it has transformed workflows, increased productivity, and uncovered new insights their human users had never considered. Meanwhile, the recent rollout of specialized AI agents capable of limited autonomy to handle complex tasks like fraud detection, tax analysis and data reconciliation tells them there’s still so much more to come. 

“We have all seen AI advance significantly in the past year, especially in the area of automation of manual tasks. Think about areas like bill pay, invoicing, expense management, financial statement analysis, etc. AI is putting accountants into more strategic roles and getting them out of the trenches in doing the manual tasks. This past year I have seen a number of players in the tax space surface by leveraging AI. Although many of them still continue to be a work in progress, we are going to see AI totally change the tax space and eliminate the massive tech stacks that exist in many firms today,” said Jim Bourke, managing director of Withum’s advisory services.

Of course, all technologies have their risks and AI is no exception. Indeed, as the technology’s presence in firms grows, so too have the concerns about its use. Our experts cited security risks like data breaches and misuse of sensitive information by AI systems, and many were still worried about the accuracy of their outputs given the tendency to “hallucinate” (i.e. making stuff up). But they also raised broader ethical concerns, such as the perpetuation of bias as well as potential job displacement in the short term. Our experts didn’t think AI was going to wholesale replace accountants anytime soon, but some conceded that it would serve to disrupt job dynamics in certain parts of the profession. 

“It’s poised to replace certain jobs or at least automate specific tasks within jobs. AI agents will influence particular roles, potentially altering the premium placed on certain skills, leading to some traditional jobs disappearing entirely,” said Prashant Ganti, head of product management in Zoho’s Finance and Operations business unit. 

In this, the first of three parts, we look at what our experts—drawn from CPA firms, software vendors and academics all deeply involved in the field of artificial intelligence in the accounting world—thought of three questions: 

* How has your perception or impression of AI in accounting changed from the beginning of this year to now?

* What scares you the most about AI today? What is your biggest concern? 

* What’s impressed you the most about AI this year? What really got your attention? Both in terms of accounting and overall.

We’ll have more from our experts next week.

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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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