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Treasury will need to come up with guidance on Big Beautiful Bill

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The Treasury Department and the Internal Revenue Service will need to roll out guidance on President Trump’s One Big Beautiful Bill Act to explain its newer provisions and how they differ from earlier tax legislation.

The IRS posted a fact sheet Monday describing some of the tax deductions for working Americans and seniors, such as the tax exemptions for tips, overtime pay and car loan interest, as well as the new $6,000 deduction for seniors.

Tax professionals are eagerly awaiting additional guidance on the tax provisions, especially for business clients, including those who had relied on the renewable provisions of the Inflation Reduction Act that have since been repealed.

“We’re all going to look at how the administration implements the bill, especially around the Inflation Reduction Act,” said Jon Traub, a managing principal and tax policy group leader for Washington National Tax at Deloitte Tax LLP. “Separate from the bill, but parallel to it, is how the rest of the world agrees to or doesn’t agree to the proposal to exempt the U.S. from Pillar Two, which was done in exchange for dropping out of the bill the proposed Section 899. Those are the two things in the bill that we’re watching how they develop.”

The Treasury worked out a deal with G-7 countries to drop the so-called “revenge tax” that threatened to punish countries for implementing extra taxes on U.S. multinationals under Pillar Two of the OECD-G20 Inclusive Framework.

While Deloitte doesn’t have many clients who depend on tips for a living, the guidance could be illuminating as well. 

“Our clientele for the most part is not in the tipped-income environment, but I think the fact that those were added in the bill, obviously they were priorities of the president and will be interesting to watch,” said Traub. “I think the Treasury has 90 days to issue guidance on how to define industries in which tipped income is common. You can’t, for example, change the compensation structure at an auto dealer and say we’re going to ask car buyers to provide a tip to car dealers. That would be [flipping] that business model on its head. The Treasury is going to have to come up with a list of industries and occupations where tipping is historically common and they’re eligible for the deduction. That is supposed to come out in 90 days from the date of enactment, probably 80 days from now.”

Indeed, the fact sheet says that by Oct. 2, 2025, the IRS must publish a list of occupations that “customarily and regularly” received tips on or before Dec 31, 2024. The IRS said it will provide transition relief for tax year 2025 for taxpayers claiming the deduction and for employers and payors subject to the new reporting requirements.

The law also provides incentives for domestic manufacturing to bring more production back to the U.S.

“That’s one that definitely will be interesting to see,” said Traub. “There’s a new deduction for the expense of the construction of structures that house manufacturing, and there are a variety of rules. … You can’t count parking facilities. You can’t count offices. The Treasury is going to have to come up with guidance pretty quickly to help companies figure out what structures qualify and what don’t.”

He also expects to see guidance coming out on the tax breaks for domestically made automobiles. 

“They probably have to come up with definitions around a domestically made automobile for purposes of the new deduction for interest on auto loans,” said Traub. “It’s only available for domestically made vehicles for which final assembly occurred in the U.S., so they’re going to have to figure out how to define what final assembly means. There’s a whole range of difficult challenges that Treasury is going to have to face, but they have very skilled people there putting out a lot of guidance, regulations and notices to help taxpayers comply, especially because a number of pieces of the law are retroactive, effective on Jan.1, 2025. That really puts the burden on them to really aggressively spell out what the law does and does not allow for regulations.”

Many of the incentives for clean energy under the Inflation Reduction Act have been repealed.

“One of the things that the President did is, right after the bill was signed, he put out a notice that he was going to direct the Treasury to clarify the rules for when a facility had begun construction,” said Traub. “There’s limits in the law as to qualifying for clean energy credits, and there’s deadlines based on either when you put the project in service, like when you start actually producing energy. Some of them are tied to when you begin construction. And beginning construction is not just going to Home Depot to buy a shovel and a bucket and putting a spade in the ground and turning it over a couple of times in the dirt. There’s a very specific technical meaning around what qualifies as having begun construction.”

The wind and solar energy industries in particular are losing a number of tax breaks. “For wind and solar there’s obviously a concern in the industry that they will come up with more rigorous rules than today that will make it harder for wind and solar to qualify for what they thought they would qualify for under the revised credits in the OBBBA,” Traub said.

“I do expect regulations this year, but I do believe they’ll be really focused on the renewable energy side,” said Ian Boccaccio, principal and income tax practice leader at tax firm Ryan. “For instance, for that beginning of construction safe harbor, the executive order basically said that Treasury has to come up with something in the next 45 days.” 

The bill also seeks to crack down on companies owned by countries perceived as a threat to the U.S.

“I don’t know how they’re going to deal with all of these various credits and the various new rules like foreign entities of concern, defining how much investment by a disqualified foreign country is too much and what qualifies as foreign investment,” said Traub. “There’s a huge administrative challenge to implementing any law like this, whether it’s the Affordable Care Act, the Inflation Reduction Act, the TCJA, or the OBBBA. These laws always require a massive amount of regulatory guidance coming from Treasury.”

The Treasury’s guidance and regulations may be limited in some ways by the Supreme Court’s decision in the Loper Bright case overturning the longstanding Cheron rule giving deference to the regulatory interpretation by agencies of unclear federal laws. 

“In the wake of Loper Bright that says the agency has got less deference, the challenge is going to be making sure that they find clear statutory direction to write the rules,” said Traub. “That’s a challenge that the Treasury is really well aware of.”

Even with the ongoing cutbacks in the federal government, he expects the Treasury to be able to come up with such guidance.

The new Trump accounts for babies and young children will probably need new rule writing as well. 

“Name any provision in the bill, especially if it’s creating a new tax section, a new benefit, as opposed to the ones where they’re just making small changes to existing rules like around estate tax or rates, where we are creating a whole new tax section out of whole cloth, like the Trump accounts,” said Traub. “Those clearly require guidance and regulatory assistance, every one of them.”

The bill also extends and makes permanent a number of tax breaks that were supposed to expire under the TCJA, such as 100% bonus depreciation, and immediate write-offs for research and development expenses. 

“There may be some guidance even on R&D because there’s a sort of ‘retroactivity lite,’ if you will, that allows companies to reclaim deductions they haven’t taken in the last few years, or over five years with domestic R&D, that may require some guidance, but the reversion of 100% bonus depreciation from where it is at 40%, those rules are probably mostly already written,” said Traub. “I’m going to guess that’s an area where Treasury has less regulatory burden than they do in some other places. Things like the Child Tax Credit, where they just change the amount of the credit, don’t really create the regulatory burdens that new deductions for seniors and auto loans would create.”

There may be more of a compliance burden for tax professionals in absorbing all these new rules and provisions, but in some ways the tax rules are simpler.

“Some of the provisions here make the Tax Code potentially more complex for taxpayers and professionals, and I suppose at some level, there could be an increase in complexity,” said Traub. “Other provisions probably make things a little bit simpler for people. Especially if you’re dealing with a structure in which you were concerned about the potential confusion around the expiration of benefits, that uncertainty has gone away. That may provide some uncertainty for taxpayers as well, so it’s probably a mixed bag.”

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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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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.

The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.

In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.

AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.

When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.

Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.

This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.

Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.

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