AI legitimacy in energy

A model to improve corporate narratives on sustainability and responsibility

Bibliographic Data

ID21404129
AuthorsLaura Di Chiacchio (0000-0002-2421-6098, Aston University), Haider Al‐Khateeb (0000-0001-8944-123X, Aston University, corresponding author), Usman Butt (0000-0002-1703-8756, Ajman University), Salman Yussof (0000-0002-2040-4454, Universiti Tenaga Nasional)
Year2026
Volume222
Pages124378
Publication date2026-01-01
Open AccessYes
TypeARTICLE
VenueTechnological Forecasting and Social Change (JOURNAL)
Journal identifiersISSN: 0040-1625 • E-ISSN: 1873-5509
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techfore.2025.124378
OpenAlexW4415334390
LanguageEN
Citations received2
References cited53

The integration of artificial intelligence (AI) in the energy sector is pivotal for achieving Sustainable Development Goal 7 (SDG7). Within the European Union, the regulatory landscape, particularly the proposed AI Act, influences how organisations navigate responsible AI (RAI) adoption while addressing societal expectations, creating a critical need to examine how they communicate their commitment to RAI and sustainability. This study uncovers how narratives employed in the public communications of EU energy stakeholders legitimise corporate efforts and signal alignment with RAI principles. A grey literature search of website pages, whitepapers, and reports was conducted. Thematic analysis, using inductive and deductive coding, was employed to identify emerging themes and evaluate how organisations frame their initiatives in response to regulatory and societal pressures. Analysis of 28 reports reveals that EU energy stakeholders predominantly frame AI as an inevitable technological advancement while lacking concrete strategies for RAI implementation. Communications focus on aspirational commitments rather than measurable actions. To address these gaps, this study develops the Responsible AI (RAI) Communication Model. This framework guides stakeholders in structuring their communication around three core pillars: (1) aligning AI initiatives with measurable sustainability goals and governance, (2) developing trustworthy and accountable narratives backed by concrete evidence, and (3) establishing organisational legitimacy through active stakeholder engagement. By adopting this model, energy stakeholders can move beyond rhetorical narratives towards sharing demonstrable practices. This fosters greater trust, ensures effective communication of priorities like transparency and accountability, and promotes regulatory alignment. • Energy stakeholders view AI as essential for sustainable transitions. • Technological innovation is leveraged as an organisational legitimacy tool. • A critical gap exists between AI ambitions and practical responsible AI measures. • A model is developed to guide communication of AI strategies in energy. • Roadmaps needed to establish accountability and compliance mechanisms

Framing (construction) · Legitimacy · Narrative · Rhetorical question · Stakeholder · Stakeholder engagement · Structuring · Sustainability · Thematic analysis · Transparency (behavior) · Innovation, Sustainability, Human-Machine Systems

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