Industry Tensions Rise Over New Carbon Accounting Initiative as AI-led Geothermal Investment Grows

A high-profile push by major global companies to reshape how corporate carbon emissions are measured has ignited debate among sustainability advocates and climate practitioners. The initiative, Carbon Measures, proposes an alternative emissions accounting framework intended to improve precision and comparability of carbon data. However, critics warn the proposal could undermine existing global standards and weaken accountability at a time when policymakers and markets are tightening reporting requirements.

In parallel, the energy transition landscape is also witnessing rapid capital flows into geothermal energy through advanced technologies, with startups using artificial intelligence to unlock previously overlooked clean energy resources. The contrasting developments reflect broader tensions and opportunities shaping decarbonization strategies.

Carbon Measures: Innovation or Fragmentation?

Carbon Measures is a corporate coalition launched in late 2025 by a group of major industrial, energy, and financial firms, including ExxonMobil, Banco Santander, BlackRock’s Global Infrastructure Partners, BASF, and others. The coalition aims to establish a ledger-based carbon accounting system that tracks emissions at both company and product levels, reduces double-counting, and provides more verifiable and comparable data across global value chains.

Proponents argue that the new framework could bring greater transparency to emissions data and support product-level carbon intensity metrics, helping investors, regulators, and businesses make better-informed decisions on climate action. According to backers, adopting financial accounting principles for greenhouse gas emissions could help standardize reporting across sectors that currently use widely divergent methods.

However, the Carbon Measures framework has drawn significant criticism from sustainability experts, civil society groups, and climate observers. One core concern is that the proposed model may shift responsibility for emissions from producers to downstream consumers by transferring emissions liabilities along the supply chain. Under the system critics describe, a company could remove Scope 3 emissions, those associated with the use of its products, from its corporate reporting once the product is sold, shifting the burden of tracking and managing these emissions to end users. This approach could obscure the true climate impact of high-emitting sectors such as fossil fuels, chemicals, and heavy industry.

Critics argue this shift contradicts the long-standing global effort to hold companies accountable for all significant emissions linked to their operations and products. Established standards like the Greenhouse Gas Protocol (GHG Protocol) currently require comprehensive Scope 1, 2, and 3 disclosures, forming the basis for many regulatory and voluntary reporting schemes globally. Fragmentation of measurement approaches could create confusion for policymakers and investors who depend on consistent, comparable data.

Some worry that the initiative’s private governance structure and lack of independent oversight could further weaken climate reporting. Unlike multi-stakeholder, publicly vetted frameworks developed through transparent processes, Carbon Measures is viewed by some as a corporate-led effort that may prioritize flexibility over rigor. This debate has intensified as governments and regulators, particularly in the European Union and other major markets, move toward mandatory climate disclosures that align with international standards.

The criticism has extended to financial backers of the initiative, including Banco Santander, whose support has prompted questions about the consistency of their climate commitments if they align with an approach perceived as potentially diluting accountability.

AI and Geothermal: Funding Flows Into Clean Power Innovation

While carbon accounting frameworks are under scrutiny, venture capital and strategic investors are pouring money into clean energy innovation, particularly where technology can accelerate deployment and reduce costs. A notable example is Zanskar, a U.S.-based geothermal energy company that recently raised $115 million in a Series C funding round to expand its AI-driven geothermal exploration and development.

Zanskar uses machine learning models trained on geological and subsurface data to identify geothermal resources that lack traditional surface indicators like hot springs or steam vents. This technology allows the company to locate previously hidden conventional geothermal systems at scale and de-risk exploration, making geothermal more commercially attractive.

The new funding, led by Spring Lane Capital with participation from major climate and institutional investors, brings the company’s total equity raised to about $180 million and supports plans to build multiple geothermal power plants in the western United States, slated to begin delivering electricity before 2030.

Geothermal energy offers firm, baseload clean power, providing a complement to intermittent renewables like wind and solar. This attribute makes it particularly valuable for grid stability as electrification increases in sectors such as transportation, industrial processes, and data centers. Investors see AI-enhanced discovery and development as a way to overcome historical barriers that have limited geothermal deployment in the U.S. to a few gigawatts of capacity.

Company leaders argue that conventional geothermal resource potential has been significantly underestimated, with real opportunities scaled to hundreds of gigawatts or more if geological conditions are properly understood and capitalized upon. Funders hope that investment in AI tools and drilling infrastructure will unlock these resources, helping diversify clean energy portfolios and strengthen energy security.

Implications for Net-Zero Transitions

The juxtaposition of carbon accounting reform and frontier clean energy financing highlights the complexity of current net-zero pathways. Accurate, robust emissions data remains a cornerstone of credible climate action, informing policy, investment decisions, and regulatory compliance. Fragmentation in measurement frameworks could slow progress in building consensus on climate risk and performance benchmarks. At the same time, breakthroughs in energy technology and deployment models could accelerate decarbonization by delivering reliable, low-carbon power.

For corporate sustainability teams, investors, and policymakers, the key takeaway is clear: Measurement rigor and investment innovation must go hand in hand. A coherent carbon accounting system that aligns with international standards and fosters comparability will be critical to ensure that capital flows support genuine emissions reduction and avoid unintended distortions. Meanwhile, backing technologies like AI-enabled geothermal exploration can help physical decarbonization efforts, providing new tools to meet rising electricity demand with clean energy.

As the energy transition accelerates, stakeholders will need to balance debates over reporting frameworks with tangible investments that expand clean energy capacity and drive systemic change.

Source: Wall Street Journal (Clara Hudson)