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In the era of AI, internal auditors need to pay their superpowers forward

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This year, I have been exploring the many ways artificial intelligence could change internal auditing. The constant tug of war between risk and opportunity has driven generally positive evolution in the profession, particularly in the past 20 years as the complexity and speed of risks have accelerated. But nothing compares with AI’s potential to rock the profession to its core.

AI has moved from novelty to necessity. With breathtaking speed, it is reshaping industries, workflows and decision-making processes. For internal auditors — long viewed as guardians of organizational trust and stewards of risk assurance — AI is not just another tool. It’s becoming a competitor in the race for relevance.

The question now confronting the profession is not whether AI will become a dominant force in delivering assurance and insight — it already is. The question is: Can we evolve fast enough to remain indispensable in the face of intelligent automation?

The latest wrinkle to that question was explored in a recent Wall Street Journal article that warned AI is wrecking the job market for college graduates. In short, the article made a compelling case that AI is changing the definition of entry level jobs.

Business vernacular is riddled with phrases that describe the traditional start of our work careers: learning the ropes, starting from scratch, paying your dues and doing the grunt work. But the benefit to the organization of having young employees do the dirty work while learning about the business is quickly being supplanted by technology that will do the work faster, with fewer mistakes, and at a fraction of the cost.

The implications of this are truly astonishing. Simply put, entering the job market will soon require bringing more to the table than a diploma and a willingness to learn, much more. Graduates seeking entry-level jobs won’t just have to convince employers of their potential; they will have to show they already possess skills AI does not and that they can add value to the organization the minute they walk in the door.

I believe five superpowers set internal auditors apart from AI: critical thinking, relationship acumen, intellectual curiosity, empathy and ethical resilience. These are job skills that automation has yet to master and may never really match the human level. These are the skills the next generation of graduates will need to possess to thrive in an AI driven world.

What’s next?

Last July, The Institute of Internal Auditors’ Vision 2035 report identified attracting and retaining new talent into the profession as a key goal for the coming decade. In the Vision report, two barriers were identified that keep students from entering the profession: In the view of educators, it was lack of student understanding and awareness of the profession. For students it was inadequate networking opportunities with internal audit professionals. Neither group anticipated the need for fundamentally upgrading the skillsets required to break into the profession.

The lack of foresight here is understandable. At the time of the report’s publication, AI adoption was picking up speed, but its implications for the job market remained unclear. Back then, CEOs weren’t openly discussing that AI would lead to deep job cuts. They are today.

Considering this potentially tectonic shift of hiring practices, two scenarios could develop for  internal audit:

  • Chief audit executives come under increasing pressure from executive management to become more efficient and productive by leveraging AI (as they should be), easing the urgency for developing new internal audit talent.
  • The entire internal auditing profession and the academic institutions that support it act quickly to counter the threat by minting graduates with advanced job skills ready to bring internal audit superpowers to bear.

Of course, the business world’s demand for competitive advantage, greater growth and higher profits make the first scenario much more likely. While the second scenario is written with tongue firmly in cheek, for the sake of the profession it must be the one that prevails.

Here we come full circle to the point made earlier about promoting what sets us humans apart from AI. Critical thinking, relationship acumen, intellectual curiosity, empathy and ethical resilience are the building blocks of success in any endeavor, and they are what set apart great internal auditors from chatbots, robotic process automation and machine learning.

Too often, executive management and boards succumb to the immediate while putting off trickier long-term challenges. We must break that pattern when it comes to filling the internal audit talent pipeline. The immediate task before us is to build awareness, recognition and appreciation for internal audit superpowers within the C-suite and the boardroom. The long-term challenge is evolving our learning institutions to deliver graduates who possess those superpowers and are better prepared to deliver immediate value.

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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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