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Whitehouse cancels Biden AI order from 2023

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The Whitehouse has cancelled the October 2023 executive order from the previous administration on AI regulation and oversight as one of many such cancellations now that the new administration is in power. 

The executive order generally called for the development of standards and best practices to address various aspects of AI risk, such as for detecting AI-generated content and authenticating official communications. It also directed government agencies to study things such as how AI could impact the labor market and how agencies collect and use commercially available information. It also emphasizes the development of new technologies to protect privacy rights and bolster cybersecurity, as well as training on AI discrimination, and the release of guidance on how different agencies should be using AI. 

The AP noted that many of the items in the original executive order have been fulfilled already—such as numerous studies on things like cybersecurity risks and effects on education, workplaces and public benefits—and so there is not that much to repeal in the first place. 

One key provision that is now gone, however, is the requirement that tech companies building the most powerful AI models share details with the government about the workings of those systems before they are unleashed to the public. Opponents of the executive order had long said it would reveal trade secrets and hamstring US tech companies. 

When the EO was first signed, Alex Hangerup, co-founder and CEO of payment automation and insights solutions provider Vic.ai, said the executive order was a good first step, as its scope was ambitious and comprehensive, though expressed concerns that the order has a lot of moving parts and may be difficult to maintain. Asked about his feelings regarding the repeal, he did not seem especially troubled, noting that players in the AI space should be relying on a collaborative framework versus a top-down bureaucratic approach anyway. 

“AI has the potential to be one of the most transformative forces in modern finance, and fostering innovation in this space is critical. The previous Executive Order was a step toward structured oversight, but any AI regulation must strike a balance—protecting against risk while ensuring we don’t stifle progress. The decision to rescind the order underscores the importance of a more adaptive, market-driven approach to AI governance. Rather than relying on rigid top-down mandates, we need a collaborative framework that evolves with the technology. Responsible AI development doesn’t mean excessive bureaucracy; it means accountability, transparency, and engagement with the businesses actually building these solutions. At Vic.ai, we believe the future of AI in accounting—and across industries—depends on fostering innovation while ensuring AI remains a force for accuracy, efficiency, and trust,” he said. 

Pascal Finette, co-founder and CEO of technology consulting firm “be Radical,” at the time said the order seemed to be crafted by people who didn’t really understand AI much in the first place, and many of its provisions seemed more motivated by fear and worry, pointing to language that infers AI is a weapon which must be controlled. Overall, at the time, he said the order felt far reaching and somewhat reactionary given its focus on foundational models, and said regulation would be much easier applied at the application level. Overall, though, he wasn’t very concerned there would be any direct impacts on the accounting solutions space, as most vendors don’t create their own models but instead rely on those created by other companies that may or may not fall under the executive order. 

When asked what he thought about the repeal, he repeated that many of the original provisions didn’t seem that thought out and so it was good some of the more ill-conceived aspects will be cancelled, though it leaves open questions about sustainability and responsibility. 

“I’d say (with probably anything Trump says or does), it’s too early to tell. On one hand, I think it’s good and useful that we removed this somewhat ill-advised policy; on the other hand, there are huge question marks around the responsible and long-term sustainability of AI and its impact on society and businesses,” said Finette.

Aaron Harris, chief technology officer at practice management solutions provider Sage, said at the time the executive order was signed that it was an important step forward, given the rapid proliferation of AI technologies. He felt at the time that the order sets the appropriate tone for AI development, as it emphasizes safe and responsible uses. Today, he said there is need to simultaneously nurture and support AI innovation while recognizing SMEs need to feel confident they’re working with technology partners who adhere to safe, ethical AI development practices. Harris added that the Trump administration’s decision to cancel the executive order doesn’t change this fundamental relationship.  

“AI remains one of the greatest opportunities of our time. And as AI evolves, it’s expected that governmental policies and regulations around AI will as well. At Sage, our stance remains that AI practices must be ethical and responsible. We are committed to building AI technology for the future that is safe, transparent and trustworthy. As the regulatory landscape evolves, our mission remains clear: to innovate responsibly and empower businesses without compromising ethical standards. In the U.S., I am optimistic that the current administration will continue to create opportunities to evolve and accelerate AI innovation — improving lives and driving economic growth — while staying true to our duty of upholding the highest standards of ethics and trust,” said Harris.

Amy Matsuo, regulatory insights leader at KPMG, noted in a statement that this might lead to increasing divergence between state and federal regulators. She also pointed out that while there is nothing to replace the executive order, companies should still expect some regulatory focus regarding their AI ambitions.  

“As expected, the new Administration has repealed the previous Administration’s 2023 AI Executive Order, but did not immediately initiate a series of net-new AI actions. To drive US leadership in AI, the new Administration is reportedly looking to expand data center and energy capacity and encourage innovative model development and application. Companies should expect regulatory focus on critical security, national security and sensitive data. However, increased divergence with state and global AI- and privacy-related regulatory activity will increase (with a flurry of 2025 state bills already in motion), resulting in a continued regulatory patchwork as well as likely expanded state AG actions

The news comes around the same time that the administration also announced a $500 billion investment in AI technology.

“The $500 billion investment is pretty nuts—I’m not sure if you saw the comparisons, but it’s a multiple of the cost of the whole Apollo program (in today’s dollars),” said Finette. 

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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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