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IRS, Treasury finalize rules for clean energy investments in low-income communities and Indian land

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The Treasury Department and the Internal Revenue Service have released final rules and procedural guidance for the Section 48E(h) Clean Electricity Low-Income Communities Bonus Credit Amount Program.

The 48E(h) program expands the 48(e) bonus credit designed to lower home energy costs and accelerate clean energy investments in low-income communities and helping low-income households, on Indian Land, or as part of affordable housing developments. A Treasury analysis of the first year of the 48(e) program indicated the program received over 54,000 applications from 48 states, the District of Columbia and four territories. 

Approved applications for the tax credit are expected to generate $3.5 billion in investments in low-income communities and on Indian Lands and are estimated to generate $270 million in offset energy costs annually. During the second year of the 48(e) program, the program received over 57,000 applications, totaling over 1.9 gigawatts of clean energy generation. 

The approved applications are also expected to generate approximately $4 billion in public and private investment into communities and almost $350 million in offset energy costs annually.

The rules released Wednesday highlight the expanded list of program-eligible technologies beyond wind and solar to zero-emissions technologies like hydropower and geothermal. The full set of program-eligible facilities and how that list will be updated in the future is defined in the Section 48E Clean Electricity Investment Credit final regulations. On Tuesday, the Treasury and the IRS also released those final rules. The allocated credit provides a 10 or 20 percentage point boost on top of the 30 percent 48E investment tax credit (assuming prevailing wage and apprenticeship requirements are met). 

“Expanding the Clean Electricity Low-Income Communities Bonus Credit will help lower energy costs in communities that have been overlooked and left out for too long and empower developers to work alongside communities to provide tailored solutions to meet their energy and economic needs,” said U.S. Deputy Secretary of the Treasury Wally Adeyemo in a statement Wednesday. “The final rules announced today will help ensure that all Americans benefit from the growth of the clean energy economy.”

The 48E(h) program will allocate bonuses to 1.8 gigawatts of clean electricity generation serving low-income communities each year, from 2025 through at least 2032. For the 2025 Program Year, the application period will open on Jan. 16, 2025 at 9:00 a.m. ET and close on Aug. 1, 2025 at 11:59 p.m. ET.  For the 2026 Program Year and subsequent program years, the application period will open the first Monday of February at 9:00 a.m. ET and close the first Friday of August at 11:59 p.m. ET.

The final rules announced Wednesday make some notable changes from the 48(e) program, including changes due to the statutory transition to the 48E Clean Electricity Investment Credit along with incorporation of feedback received through public comment and lessons learned from previous years. The final rules highlight the list of eligible facilities defined in the updated 48E Clean Electricity Investment Tax Credit regulations from solar and wind to also include facilities that utilize zero-emission technologies like hydropower, marine and hydrokinetic, geothermal and nuclear.

The final rules clarify eligibility requirements for some of the main categories, including expanding the list of housing programs that are eligible to participate as a qualified low-income residential building project and clarifying the financial value that certain projects must provide to low-income households.

The final rules also offer a pathway for emerging clean energy businesses to receive priority in applying for the program.

The guidance released by the Treasury outlines the annual capacity limitation available for allocation, divided across the four facility categories. For the 2025 program year, around 174,243 kilowatts (DC) are being carried over from previous program years and distributed evenly between the four categories. Individuals interested in learning more about the program or submitting an application should visit the program’s landing page on the IRS website here.

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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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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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Accounting

Automated Tax Compliance and Global Regulatory Harmonization in 2026

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Corporate tax accounting departments are navigating an era of unprecedented regulatory complexity as global tax harmonization frameworks take full effect alongside real-time digital tax reporting mandates. Tax directors and accounting teams are adopting cloud-based tax compliance automation tools to manage multi-jurisdictional tax liabilities and satisfy stringent reporting rules across international jurisdictions.

Implementation of Global Minimum Tax Provisions
The implementation of international tax reform agreements—notably the Pillar Two global minimum tax framework—has reshaped multinational corporate tax planning. Multinational enterprises with consolidated revenues exceeding established thresholds must ensure an effective tax rate of at least 15% across every jurisdiction in which they operate.

Accounting teams are implementing specialized tax calculation modules integrated directly into enterprise resource planning (ERP) platforms. These automated tools calculate effective tax rates per country, identify top-up tax liabilities, and generate standardized compliance documentation required by national tax authorities.

Real-Time Digital Invoicing and E-Reporting Mandates
Tax authorities across Europe, Latin America, and Asia-Pacific have enacted mandatory electronic invoicing (e-invoicing) and continuous transaction controls (CTC). Under these systems, corporate transaction data must be submitted electronically to government portals in real time at the point of sale or invoice issuance.

This shift toward continuous digital tax reporting eliminates traditional annual tax audits in favor of ongoing automated compliance monitoring. Accounting departments are upgrading invoicing software to ensure seamless XML data formatting, digital signature authentication, and real-time validation against tax authority databases.

Automation and Data Analytics in Corporate Tax Strategy
To keep pace with dynamic tax legislation, tax departments are transitioning from reactive compliance teams to proactive strategic advisors. Machine learning algorithms analyze corporate transactional data to identify tax credits, research and development (R&D) incentives, and cross-border transfer pricing adjustments.

By automating routine tax return filings and calculations, corporate tax directors can focus on long-term capital structuring, evaluating the tax implications of corporate mergers, and optimizing international supply chain networks.

Strategic Priorities for Tax Executives
1. ERP System Upgrades: Ensure enterprise software is capable of generating real-time, granular tax data required for global minimum tax compliance.
2. E-Invoicing Integration: Implement scalable e-invoicing platforms to satisfy regional continuous transaction control regulations.
3. Strategic Tax Analytics: Utilize predictive tax modeling tools to evaluate structural changes in corporate operations and cross-border trade.

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