Issued June 17, 2025 at the G7 Kananaskis Summit, Alberta, Canada, under the Canadian presidency, with an annexed G7 AI Adoption Roadmap. Source: Office of the Prime Minister of Canada.
Framing
The statement is organized around adoption and diffusion rather than frontier risk, which distinguishes it from the Bletchley–Seoul summit line. Its opening commits to "a human-centric approach to artificial intelligence (AI) to grow prosperity, benefit societies and address pressing global challenges," through "innovation and adoption of secure, responsible, and trustworthy AI that benefits people, mitigates negative externalities, and promotes our national security."
Its framing of the international dimension is developmental: leaders commit to work with "emerging market and developing country partners to close digital divides, in line with the United Nations Global Digital Compact," and state that they "hear the concerns of emerging market and developing country partners about the challenges they face in building resilient AI ecosystems, including the risks of disruption and exclusion from today's technological revolution."
The four commitments
Public-sector adoption. Leaders commit to accelerate AI adoption in government "while respecting human rights and privacy, as well as promoting transparency, fairness, and accountability." Canada launched the G7 GovAI Grand Challenge with a series of "Rapid Solution Labs," and leaders committed to establish a G7 AI Network (GAIN) to advance it, "develop a roadmap to scale successful AI projects; and create a catalogue of open-source and shareable AI solutions for members." Ministers were tasked to "explore strategic investments for accelerating public sector AI adoption in transformative ways, including for large language models and digital infrastructure."
SME adoption. The G7 AI Adoption Roadmap commits members to sustain SME adoption programs "including supporting access to compute and digital infrastructure"; publish "a common blueprint for AI adoption by SMEs underpinned by proven use-cases"; deepen talent-exchange cooperation; and "develop tools that grow business and consumer confidence and trust in AI adoption including by leveraging the outcomes of the Hiroshima AI Process." Intellectual-property respect is stated as a condition, with support for SMEs "to adopt and develop AI that respects personal data and intellectual property rights."
On workforce, leaders commit to "advance implementation of the 2024 G7 Action Plan for a human-centered adoption of safe, secure and trustworthy AI in the world of work, including by developing a voluntary compendium of best practices," and to encourage "girls, as well as members of communities left behind by globalization" into STEM.
Energy. The statement recognizes that "increased AI adoption will place growing pressure on our energy grids, produce negative externalities and have implications for energy security, resilience and affordability," while holding that "AI can be harnessed to promote energy innovation and bolster the resilience and reliability of our energy systems." Ministers were tasked to deliver "a workplan on AI and energy, before the end of this year, including working with international and industry partners to provide ongoing data analysis."
Partnerships. Leaders commit to "bridge gaps in AI infrastructure and capacity, invest in locally led AI-enabled innovations, and voluntarily collaborate with local universities to share knowledge and access to AI on mutually agreed terms," aligning through AI for Development, the AI Hub for Sustainable Development, Current AI, FAIR Forward, the Hiroshima AI Process Friends Group, and AI for Public Good.
Data governance is addressed through the existing framework: leaders "reiterate the importance of operationalizing Data Free Flow with Trust (DFFT) through trustworthy, cross-border data flows." The statement also records recognition of "the transformative impact of AI for the cultural and creative sectors, including challenges to business models and job security."
The Adoption Roadmap annex
The annex is addressed to the diffusion problem — helping SMEs "shift from being AI-aware to being AI-powered." It sets out four adoption-program priorities: commercialization support including "access to advanced computing infrastructure connectivity and computing resources, facilitating effective use of open and closed source AI models"; cross-sector collaboration connecting businesses with solution providers, research institutes, and clusters; "practical use case development… to demonstrate return on investment and stimulate wider industry demand"; and AI literacy and skills development.
The AI Adoption Blueprint, developed with the OECD, is to present "actionable policy recommendations that governments can choose to implement to lower barriers" and case studies "that businesses across sectors and countries can choose to replicate." Talent exchanges are to target adoption projects specifically, connecting "emerging AI research and commercialization expertise… with real-world business needs."
The trust section builds on the Hiroshima AI Process: leaders commit to lead multi-stakeholder identification of deployment opportunities and challenges "in collaboration with SMEs, AI developers, international standards-setting organizations, and Global Partnership on AI members"; publish "a toolkit to identify and explain relevant resources for AI deployers"; and "raise awareness of the HAIP Code of Conduct Reporting Framework that the OECD is implementing." The framing is that trust is an adoption enabler — "especially for smaller firms deploying powerful technologies—to provide assurance to customers" — rather than a constraint.
Throughout the annex the modal verbs are "intend," "plan," and "look to" rather than "will," and the recommendations are ones governments and businesses "can choose to implement" or "choose to replicate".
Relationships
- supports: G7 (Group of Seven) — the leaders-level AI commitment of the Canadian presidency
- related: G7 Hiroshima Code of Conduct for Advanced AI (2023) — the trust framework this statement operationalizes for SMEs
- related: Enterprise AI Deployment Gap — addresses diffusion rather than capability
- related: AI Divides (Literacy / Occupational / Ethico-Philosophical), Energy and Electric Power Sector, AI Labor Disruption