Where AI is scaling and controls are not
Energy organizations are deploying AI faster than they are building the operating evidence their boards, auditors and regulators will require. That is the AI proof gap.
This report explains why this gap exists — and what firms need to do to move from initial development to centralized control.
Energy companies need more AI controls
Energy organizations are not falling short on AI adoption. Sixty-one percent of energy organizations report increased efficiency as a measurable AI outcome, and 50% cite improved decision-making insights as a realized benefit.
Grant Thornton's 2026 AI Impact Survey of 950 business leaders found that energy organizations are deploying AI faster than they are building the proven value and operating evidence their boards, auditors and regulators will require. That is the AI proof gap in energy, and it is more acute here than in almost any other sector surveyed.
The consequences are concrete. Governance and compliance barriers are the leading driver of AI project underperformance in energy, cited by 57% of respondents and running 11 points above the cross-industry average. Boards are more engaged in AI oversight than in most other sectors, yet fewer than one in five energy organizations can demonstrate that their AI controls are centralized and evidence-ready. Resilience is a top driver for AI investment in the energy industry, and effective controls can improve resilience for both the company and the AI projects themselves.
Most energy AI projects fail on governance
Governance barriers outrank every other cause of AI underperformance, especially in energy. Governance is the throughput constraint in energy AI programs and organizations that have not resolved it are accumulating risk with every deployment that scales without a supporting control structure. Energy leaders have begun establishing controls, but 74% say that evidence is fragmented — another 9% say they have little or no confidence in their controls, and only 17% feel ready for an audit of their AI controls and governance.
“What I’m seeing most consistently is that policies exist, but they’re not applied consistently and they haven’t been tested. The energy companies pulling ahead with AI are not the ones moving fastest on tools. They are the ones that built controls early enough that governance never stopped a deployment. In this sector, the proof of control is what converts AI investment into enterprise trust.”
Boards are pushing. Evidence is not following.
When it comes to AI governance, energy boards are among the most engaged of any sector in the survey. The board-level attention is important. The problem is that attention has not translated into the operating evidence those oversight responsibilities require. Often, companies do not have an operating model that connects policy to execution to evidence. The proof gap in energy is most visible here: boards asking accountability questions that the operating layer cannot yet answer with documented, tested proof.
“Energy boards are asking the right questions about AI governance,” Jones said. “The challenge is that most organizations are still assembling the operational evidence to address those questions.”
Without centralized, testable controls, governance policies and AI deployments run in parallel without a verifiable chain of accountability connecting them.
Compliance is the biggest concern
While 30% of energy leaders name regulatory changes as the primary pressure pushing their organizations toward AI, 54% say regulatory or compliance uncertainty is the biggest barrier preventing their AI from scaling. The industry’s regulatory environment produces constant tension around the progress of AI initiatives.
The deciding factor between those two outcomes is whether an organization has the governance infrastructure capable of moving with confidence under regulatory scrutiny.
Energy AI outputs touch emissions reporting, grid management, safety monitoring and capital allocation. As AI moves from back-office efficiency into those decision-adjacent workflows, the control standard rises with it. Organizations with centralized, testable governance treat each new regulatory requirement as a competitive signal. Those without it accumulate exposure instead. Customer expectations, by comparison, ranked last among external AI pressures in energy at 12%, versus 25% across all industries. The entry point for AI investment in energy is resilience and regulatory response and organizations that treat governance as the enabler of that response are the ones accelerating.
Three actions to turn AI scale into AI success
Grant Thornton’s 2026 AI Impact Survey shows that boards are demanding evidence. Regulators are moving. Agentic AI is expanding the exposure of every ungoverned deployment. The following three actions separate organizations that can answer the next accountability question from those that cannot.
These are the capabilities Grant Thornton helps organizations build. We designed this research to identify barriers to achieving AI business value, and we help organizations overcome the barriers it identified: by designing governance infrastructure across front, middle and back-office workflows, providing AI compliance readiness and aligning leadership teams, building measurement frameworks, and preparing for the governance demands of agentic AI. The insights in this report reflect what Grant Thornton sees and builds every day.
In today’s energy market, the gap between AI capabilities and proven value is real. It is measurable. And it will not close itself without leaders taking action to establish provable governance, an unshakeable data foundation and confidence to innovate.
Methodology
Between Feb. 23 to March 18, 2026, Grant Thornton surveyed 950 business leaders, a group restricted to CFOs, CIOs/CITOs, COOs and VPs, department heads and directors who report directly to the C-suite. The energy-specific subgroup comprises 100 respondents. Findings specific to this subgroup of the data are directional only.
Contact:
Head of Energy Industry
Grant Thornton Advisors LLC
Partner, Audit Services, Grant Thornton LLP
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