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RIP, AI skepticism — hello, AI paralysis

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In Plato’s “Allegory of the Cave,” prisoners mistake shadows for reality — until one escapes and realizes the truth lies beyond the cave wall. At first, this awareness is destabilizing. But it is also liberating.

Since ChatGPT burst into the mainstream a few years ago, many responded to AI advancements in accounting like that cave: partners and firm leaders squinted at generative AI and dismissed it as hype. The skepticism was strong. “Is this thing going to stick around? Should I even care? Do I really need to do anything?” was a common refrain.

But the good news? The tide is changing, and the predominant sentiment is shifting as a profession, from one of skepticism to acknowledgement. Today, I see increasingly more leaders acknowledging that AI will significantly shape the future of the profession.

This is a moment to celebrate because the hardest place to create change is when people don’t believe change is needed. If they’re content with shadows, there’s no conversation to be had.

 And yet, that awakening has brought a new problem: paralysis.

“I want to do something, but I don’t know where to start.”

“There are so many vendors that have AI, I don’t want to choose wrong.”

“I can’t justify the cost until I know the ROI.”

This kind of stalling is everywhere. Here’s the silver lining: paralysis is an easier problem to solve than denial. If someone wants to move but feels stuck, that’s a solvable problem. So I am encouraged at our ability to collectively move forward on harnessing the full power of AI. 

Here are three forms of paralysis I see regularly, and how we can address them. 

1. “We don’t know where to start.”

 
My team hears this flavor of paralysis consistently in our work with CPA firms. Firms know AI is important. They feel the urgency. But the path forward seems fuzzy. 

A journey of a thousand miles begins with the first one. The key is to take a first step that is small, concrete, pragmatic and safe. For example, a very common starting place for my team is onboarding Microsoft 365 Copilot for CPA firms.

But here’s the catch — throwing an AI tool into the firm without context or support is a recipe for failure. That’s why it’s important to build the scaffolding for success. That means hands-on, experiential training and a foundational learning curriculum, even for tasks as seemingly simple as redrafting an email. It’s about enabling your team to learn in low-risk, high-impact ways and gain familiarity, confidence and a visceral understanding of how AI works (and where it falls completely flat…anyone that has argued with M365 Copilot on how that client meeting does exist knows what I’m talking about.)

 This then serves as a basis for taking the second step, third step and so on.

2. “There are too many vendors — what if we pick the wrong one and get stuck?”

This paralysis is driven by fear of making the wrong choice. This is a very valid concern — just look at how the vendor landscape has exploded. And accountants are brilliant at what they do, but you are not engineers and product managers, nor are you expected to be. 

This is an area where some very strategic help has an outsized impact, and the great news is that there are more resources and support than ever to help you. Of course, there are your associations and alliances. I see this topic being very actively discussed within these trusted networks that you already belong to.

In addition, there are a growing number of excellent consultants entering the profession. Especially with the rise of private equity and reallocation of resources, there are an increasing number of leaders who are now serving our profession by sharing their battle-tested knowledge on setting up scalable technical systems and vetting vendors. I am part of a network of such fractional executives, including CIOs, called CPA Consultants Collective, where we are building collective knowledge on the fast-changing accounting technology vendor landscape to help our clients.

3. “The ROI is unclear and we don’t want to waste money.”

Ah, the classic accountant’s dilemma. If we can’t tie it to a P&L line, we hesitate to spend.

When it comes to ROI, I encourage firms to embrace a robust framework that segments hard ROI and soft ROI, and quantitative and qualitative ROI.

Hard ROI refers to when you take an action and immediately see direct cost savings or revenue increases. A common example in the profession is outsourcing. From a margin perspective, once you outsource, there’s a direct, immediate impact to your bottom line.

Soft ROI, in contrast, is where other actions need to happen to unlock the full value of the investment. AI is a great example. When it saves time, the time saved doesn’t automatically convert to better business outcomes unless you do something with that time. That might mean readjusting headcount or building a cross-selling motion to monetize newly unlocked capacity.

Quantitative ROI is what most firms are used to tracking — it includes clear metrics like hours saved, increased billings or reduced costs.

Qualitative ROI includes less tangible, but equally critical, benefits such as improved employee satisfaction, faster onboarding, better client experience or enhanced decision-making.

The firms that recognize these nuances are the ones best positioned to turn efficiency into impact and scale.

The path forward

Paralysis is frustrating, but it’s also a signal. It means firms want to move. That’s a gift. So what now? Stop waiting for perfect clarity. Start with what you can adopt today, even if it’s small. Use experimentation as a strategy. Redefine ROI to capture benefits that may fall outside of narrower definitions.

It’s time to get moving.

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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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