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AI will replace some accountants using AI: How to not be one of them

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I have a confession: I am a little worried.

I’m worried because I don’t believe we’ve been representing the situation with AI in accounting correctly. In our profession, we’re fond of the mantra: “accountants using AI will replace accountants not using AI.”

But I don’t think that’s fully true anymore. Some types of accounting work, regardless of whether AI is being used by the human performing them, will be replaced by AI itself. Full stop. That’s the dirty little secret we’re not talking about enough.

This mirrors the broader trend in the corporate world. What was once whispers are now turning into public conversations, as evidenced by this recent viral internal memo from the Shopify CEO Tobi Lütke, where he directly stated:

“Before asking for more headcount and resources, teams must demonstrate why they cannot get what they want done using AI.”

A prominent venture capitalist, Victor Lazarte (a general partner at Benchmark) put it even more bluntly on the Twenty Minute VC podcast:

“Big companies talk about, like, ‘AI isn’t replacing people, it’s augmenting them’… This is bullshit. It’s fully replacing people.”

But there is a new reality that is quietly emerging: forward-thinking CPA firms are beginning to adjust their hiring strategies for entry-level roles – because AI is now capable of handling much of the foundational work those roles traditionally performed. These firms are seeing paths to grow and scale while holding steady, or even reducing their need for certain types of entry-level staffing.

It’s a development that is uncomfortable to acknowledge – but it’s also an invitation. Because this conversation isn’t really about eliminating jobs. It’s about how the shape of work is changing, and what that means for how accountants can rethink and reimagine the value we bring. How to not just survive, but truly thrive in this next chapter of the profession.
If you’re a partner nearing retirement, maybe you can wax poetic about “how we used to do it before Copilot,” and rest your laurels on your distinguished career. But for the rest of us, the question is: how do we future-proof ourselves for relevance?

The heart of the answer comes from understanding where AI is limited and understanding where humans can uniquely add value. It’s not about rejecting technology, but about recognizing that accounting roles are not all created equal and the distinctly human layer that still matters and will continue to matter.

The most successful accountants will internalize that our jobs aren’t to race against machines, but to work and collaborate alongside them—as orchestrators, strategists, and creative thinkers.

With that, here are some tips.

1. Go Where AI Can’t Be Trained Quite Yet…Emerging and Ambiguous Arenas

AI thrives on well-structured data, heuristics, and historical precedent. That makes long-established fields with high data density the most vulnerable to AI takeover.

But new and emerging domains? Those are still being defined, and that’s where humans can shine. Take crypto accounting or the evolving regulatory landscape around AI itself. These areas are inherently immature from a modeling perspective, lacking the rich historical datasets AI needs to perform reliably. That means humans will play a larger role in setting the rules, defining frameworks, and shaping the profession.

If you want a moat, find the liminal spaces where the rules are still being written. That’s where the highest human leverage will be for years to come.

2. Move Up the Judgment Curve…Into Advisory

The advisory space remains rich with human relevance because it demands something AI still struggles with: context, nuance, judgment, and true (not mimicked) creativity.
Start asking:

  • What requires interpretation and tradeoffs?
  • Where do client goals and risk tolerance shift the answer?
  • What calls for empathy or negotiation?

That’s your opportunity zone.

Don’t just run reports or surface insights; help clients understand what it means, what to do next, and what to watch out for. The most valuable professionals will be those who can interpret AI outputs and guide real-world action to truly step into the trusted advisor role.

3. Become a Bridge…Between AI Systems

As AI agents proliferate, each with specialized capabilities, a new skillset is emerging: stitching together outputs from multiple systems into something cohesive, creative, and client-ready.

This is the human layer that machines can’t easily replicate:

  • Making unexpected connections across AI tools and outputs.
  • Knowing when one system’s limitations can be offset by another’s strengths.
  • Layering on storytelling, strategy, or foresight that spans disciplines and technology systems.

Think of yourself less as the doer and more as the conductor, leveraging an orchestra of AI tools to produce something greater than the sum of its parts.

Final Thought

Here’s the truth we haven’t quite said aloud yet: your job description, the unique value you think your role brings…may already no longer exist. AI systems are furiously evolving. The technology is here. More importantly, businesses and firms are making different decisions based on those technologies today. What hasn’t caught up yet is perception.
But that’s also where the opportunity lies.

AI is reshaping the landscape of accounting, but not in a way that eliminates the profession. It challenges us to think bigger about what it means to be a value-creating accountant. As Accounting Today’s exploration of AI in advisory notes, the roles most at risk are those that are linear, repetitive, and data-heavy. But those that involve deep client relationships, nuanced understanding, and strategic foresight? Those are not only safe, they’re set to thrive.

Accountants who embrace this shift will find themselves on the frontlines of transformation, delivering greater impact than ever before. By leaning into judgment, creativity, and the ability to orchestrate across AI tools, we can elevate our work and our value.

In doing so, you’ll not only stay relevant – you’ll thrive in the evolving world of accounting.

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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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