Connect with us

Accounting

KPMG report encourages AI for sustainability

Published

on

A KPMG report says that AI, despite its large energy burden, can still be a positive tool for corporate sustainability efforts. 

The report, “AI for the Chief Sustainability Officer: Understanding the Intersection of AI and Sustainability,” notes there are many ways entities can use AI to reduce their environmental impact and advance their sustainability goals. 

AI-driven analytics, for example, can help a company gain deeper insights into their carbon footprint as well as identify inefficiencies for target emission reduction measures. It could also be used to optimize energy and water consumption in buildings and industrial processes, as well as supply chain logistics, via analysis of real-time use patterns. The report also explains that AI can be used for sustainability reporting, which often draws on many different data sources, both financial and nonfinancial. KPMG noted that AI can be an innovation tool that can assist in designing sustainable products and services, as well as forecast extreme weather events and analyze historical and real-time market data to predict future trends. 

KPMG noted that it is using AI for these purposes itself. For clients, the firm uses AI to identify its most impactful decarbonization pathways for target reduction, offers AI-guided solutions to accelerate reporting and compliance with sustainability standards, provide optimized AI tools that can reduce manual efforts within the sustainability data management and reporting process, as well as offer ongoing guidance on emerging AI technologies. 

And for itself, the firm said it is actively working to integrate AI and sustainability into its larger environmental strategy. It is currently exploring the development of AI tools that will help enhance its sustainability professionals’ efficiency and accuracy. Beyond that, it’s also working with international teams to assess the impact of their own AI use, especially on data centers they own, as well as within the context of Scope 2 emissions. KPMG is working with its key technology partners to understand the impact of AI use outside its direct control. The firm sees sustainability as a core component of its trusted AI framework. 

Despite these measures, there is the matter of AI being highly energy intensive. For instance, in Google’s most recent environment report, it revealed that its emissions have increased 13% from last year and 48% from their 2019 target, which the tech company mainly attributed to a rise in data center energy consumption and supply chain emissions, which it said was at least partially due to AI. The company conceded that as it further integrates AI into its products, reducing emissions may be challenging due to increasing energy demands from the greater intensity of AI computing, and the emissions associated with the expected increases in its technical infrastructure investment. For example, another estimate says that one query to ChatGPT uses approximately as much electricity as lighting one lightbulb for about 20 minutes. The KPMG report acknowledged this can be a challenge but is hopeful that technological advances can address the issue. 

“The computational power required for AI can lead to significant resource use and an increase in emissions, potentially offsetting sustainability gains,” said the report. “However, recent advancements in energy-efficient AI technologies and renewable infrastructure are promising in reducing energy consumption, carbon emissions and water usage. As the AI landscape continues to rapidly evolve in cost and energy efficiencies, companies may focus on emissions from owned data centers and cloud computing providers, in order to create a clear path to decarbonize.” 

Tegan Keele, KPMG US climate data and tech leader, who co-authored the report, said in an email that while AI does consume a lot of energy, it’s not the whole story when it comes to emissions. 

“While companies should be mindful of AI’s energy footprint, focusing on AI computing alone won’t move the needle on emissions. We need to look holistically at overall Scope 2 consumption and value chain impacts,” said Keele. 

Maura Hodge, KPMG US’s sustainability leader and another of the report’s authors, added that KPMG’s own efforts to help clients reduce their carbon footprint, in turn, can be useful in creating a net environmental benefit for AI solutions. 

“This is why at KPMG, we’re actively working to maximize AI’s immense potential to help drive decarbonization, while simultaneously mitigating the impacts of its energy and water consumption. It’s about finding a way to strike the balance, where AI ultimately delivers net positive environmental impact,” said Hodge. “We recommend that companies work closely with their technology partners to understand the full impact of their AI usage and development, especially for operations outside their direct control.”

Continue Reading

Accounting

FASB Standardizes Carbon Offsets Accounting Rules

Published

on

FASB Standardizes Carbon Offsets Accounting Rules

In a decisive move toward standardized environmental financial reporting, accounting standards boards issued updated implementation guidance during the week ending July 25, 2026, regarding the formal recognition and valuation of corporate carbon offsets and environmental credits. The revised frameworks establish precise rules for how enterprises must measure, record, and disclose carbon credits on balance sheets, eliminating years of inconsistent reporting practices across public capital markets.

Under the finalized accounting standard, purchased carbon offsets can no longer be categorized under vague administrative expenses or unstandardized intangible asset accounts. Instead, organizations must classify environmental credits based on underlying operational intent—distinguishing between credits held for immediate compliance compliance obligations, long-term offset obligations, or active market trading. Furthermore, companies are required to evaluate carbon holdings for fair value impairment at the end of each reporting period, ensuring that depreciated or low-quality environmental credits do not distort corporate asset values.

The standardized rules carry significant implications for corporate audit committees and chief accounting officers. External audit firms are implementing rigorous verification protocols to validate the physical legitimacy, legal ownership, and scientific permanence of carbon credits claimed on balance sheets. Inaccurate or overstated carbon accounting claims now carry substantial financial litigation risk, alongside potential regulatory enforcement for misleading ESG disclosures.

To remain fully compliant, corporate accounting departments must establish centralized carbon tracking systems integrated into primary standard ERP ledgers. Accounting teams that proactively adopt standardized environmental reporting protocols will build investor credibility, streamline annual audit processes, and insulate their organizations against evolving regulatory scrutiny.

Continue Reading

Accounting

Automated Tax Compliance Tools Reduce Risk

Published

on

Automated Tax Compliance Tools Reduce Risk

Corporate tax departments reached a critical juncture in automated operational management. With nations worldwide rapidly enacting digital service taxes, localized value-added tax (VAT) mandates, and real-time electronic invoicing requirements, manual tax calculations have become obsolete. Modern corporate tax divisions are aggressively deploying AI-driven tax engine software to automate complex cross-border indirect tax calculations in real time.

The imperative for automated tax compliance stems from the sheer complexity of current trade policies and multi-jurisdictional commerce. E-commerce platforms, software vendors, and global manufacturers face constantly changing regional tax rates, statutory exemption rules, and cross-border tariff structures. Automated tax engines embed directly into enterprise enterprise resource planning (ERP) architectures, automatically applying correct tax codes at the point of sale, calculating real-time withholding amounts, and generating compliant e-invoices.

Automated audit trail generation represents another key advantage of modern tax tech integration. Advanced compliance platforms log every transactional tax determination on immutable digital ledgers, providing tax authorities with transparent, self-verifying audit trails. This capability drastically reduces the operational duration and administrative cost of corporate tax audits, protecting enterprises against severe penalties resulting from calculation errors or missed reporting deadlines.

For chief financial officers and tax directors, investing in automated tax compliance is a vital operational risk mitigation strategy. Automating routine tax calculations frees high-level accounting professionals to focus on strategic tax planning, transfer pricing optimization, and risk management in an increasingly complex global economic environment.

Continue Reading

Accounting

Continuous Auditing Transforms Corporate ERPs

Published

on

continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

Continue Reading

Trending