From Summit Declaration to Operating Framework
The Global Digital Compact was adopted on September 22, 2024, as Annex I of the Pact for the Future — the outcome document from the UN Summit of the Future in New York. Unlike prior UN digital initiatives, the GDC was negotiated through a member-state process that explicitly included civil society and the private sector, giving it broader legitimacy than a narrowly intergovernmental treaty.
The compact establishes five interconnected objectives for 2030: closing digital divides, expanding inclusive digital economies, fostering open and secure digital spaces, advancing equitable data governance, and promoting responsible AI for sustainable development. Within that fifth objective sit two concrete institutional creations that distinguish the GDC from previous UN aspirational frameworks.
The first is the Independent International Scientific Panel on AI, modelled partly on the IPCC for climate science. Forty experts, serving in their personal capacity with co-chairs elected from both developed and developing countries, will assess AI impacts and risks and feed evidence-based reports to intergovernmental processes. Appointments are balanced by gender and geography — a deliberate design choice that gives the Global South a structural role in setting the evidentiary baseline for AI governance discussions.
The second is the Global Dialogue on AI Governance, a recurring forum convening governments, the private sector, and civil society at the margins of existing UN conferences. Its inaugural session is scheduled for July 6-7, 2026, in Geneva, immediately preceding the AI for Good Global Summit (July 7-10). The sessions will not produce binding law — but they will shape the soft-law commitments, capacity-building programs, and multilateral expectations that frame national AI policy in developing countries.
Why This Matters More Than a Treaty Would
Why no binding AI treaty is coming — and why that makes the GDC more important
A formal international AI treaty remains years away. The US explicitly opposed the UN Global Dialogue on AI Governance at a Security Council debate in September 2025. The Trump administration’s rejection of “centralized control and global governance” in favour of American AI dominance means the world’s largest AI-producing nation is structurally absent from the multilateral process. Without US participation, any binding treaty would lack the jurisdictional reach to affect the AI systems most widely deployed globally.
This creates a paradox that AI governance analysts at CSIS have documented: the Global South increasingly sees the GDC process as its best available mechanism for shaping governance norms, while developed nations — particularly the US — prefer bilateral or plurilateral arrangements that preserve their regulatory autonomy. China, conversely, supports UN-centred governance as a counterweight to US technological dominance. For developing nations with limited AI infrastructure, the GDC offers something no other mechanism provides: a seat at the table in the evidence-gathering process that will define what “safe AI” means for their populations.
What “AI governance baseline” means in practice
The GDC does not impose obligations on private companies directly. What it does is shape the national policy environment in the more than 100 developing countries that lack their own AI governance frameworks. When the Independent Scientific Panel publishes its first assessment of AI risks, those findings will become the primary reference for ministries of digital affairs, ICT regulators, and development banks designing AI standards in countries without the technical capacity for independent assessment.
For multinationals operating in emerging markets, this creates a practical compliance pathway: GDC-aligned AI policy will increasingly appear in government procurement requirements, public-sector AI contract terms, and national AI strategy documents across the developing world. Companies that ignore this trajectory will find themselves caught flat-footed when their public-sector clients in Africa, Southeast Asia, and Latin America start referencing GDC frameworks in tender specifications.
The African Continental AI Strategy alignment
The African Union’s Continental AI Strategy, endorsed by the AU Executive Council in July 2024, explicitly aligns with GDC objectives around people-centric development, independent oversight institutions, and regional cooperation. According to Stimson Center analysis, 16 African countries have launched national AI strategies, but implementation capacity varies sharply — with Rwanda and Nigeria having published strategies while major hubs like Kenya and South Africa remain in draft stages. The GDC’s capacity-building provisions, including technology transfer and training programs for developing countries, provide the mechanism through which the AU strategy moves from framework to execution.
For companies operating across multiple African markets, the practical implication is that the AU strategy plus GDC alignment will define the governance baseline — not individual national laws — because most countries will adopt the continental framework before completing their own national AI legislation.
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What Emerging-Market Tech Operators Should Do Now
1. Map your AI systems to GDC’s five objective areas before they appear in your clients’ procurement requirements
The GDC’s five objectives (closing digital divides, inclusive digital economy, open digital space, equitable data governance, responsible AI) are not abstract. They translate into specific procurement requirements when government agencies — which are increasingly the largest AI buyers in developing markets — write tender specifications. A government digital identity project will reference “equitable data governance” from the GDC when specifying training data requirements. A public health AI project will invoke “safe, secure and trustworthy AI” from the GDC’s responsible AI objective when defining audit and explainability standards.
Build a mapping between your AI system specifications and each of the five GDC objectives. This is not a compliance exercise for today — it is pre-positioning for the procurement specifications that will be written in 2027 and 2028 as the GDC’s implementation guidelines materialise from the Geneva dialogues.
2. Engage the Independent Scientific Panel process through your industry association
The 40-member panel will produce its first major AI risk assessment in 2026-2027. Unlike national regulatory consultations, UN scientific panel processes are open to written submissions from civil society and the private sector during designated consultation windows. Most tech companies miss these windows because they are monitoring national regulators, not the UN system.
Identify which industry association or regional tech body has UN consultative status and has signalled intent to participate in the GDC scientific panel process. Make sure your company’s operational experience — particularly data on AI system performance in low-bandwidth or low-data-quality environments — feeds into the panel’s evidence base. Companies that shape the evidentiary record will have more influence over the eventual governance standards than those who engage only after standards are set.
3. Use the July 2026 Geneva Global Dialogue as a competitive intelligence exercise
The inaugural Global Dialogue on AI Governance session (July 6-7, 2026) will signal which AI governance provisions developing-country governments are prioritising. Ministries of digital affairs and development banks will table their policy asks. The session will not produce binding agreements — but it will surface the emerging policy expectations that will appear in procurement contracts 12-18 months later.
Send a government affairs representative or regional policy lead to Geneva, or track the official session documents and delegations list closely. The early-mover advantage in emerging-market AI policy belongs to companies that understand what ministries want before it becomes a formal requirement.
What Comes Next for the GDC Process
The July 2026 Geneva sessions represent the first operational milestone for both the Global Dialogue and the Scientific Panel. The Panel’s first full AI risk assessment is expected by late 2026 or early 2027. The Global Dialogue will then use that evidence base to draft “shared understandings” — a form of soft law that stops short of a treaty but carries significant norm-setting weight for the 100+ countries that lack their own AI governance capacity.
For multinationals and emerging-market tech firms, the 18-month window between now and the Panel’s first full assessment is the highest-value engagement window. Once the Panel’s findings are published, they will be adopted rapidly by multilateral development banks (World Bank, regional development banks) as reference standards for AI components in development-finance projects. Companies that have already mapped their systems to GDC objectives will be positioned to bid on those projects; companies that haven’t will face a rapid re-alignment requirement at the point of project negotiation.
The GDC is not replacing the EU AI Act, the US state law patchwork, or China’s CAC regulations. It is filling the governance vacuum for the majority of the world’s countries — and that vacuum is where the fastest-growing AI markets of the next decade are located.
Frequently Asked Questions
What is the difference between the Global Digital Compact and a binding AI treaty?
The GDC is a political commitment adopted by UN member states, not a legally binding treaty. It does not create enforceable obligations for companies or governments. Its influence operates through the two institutional mechanisms it created: the Independent International Scientific Panel on AI (which will produce evidence-based AI risk assessments) and the Global Dialogue on AI Governance (which translates that evidence into shared policy understandings). These mechanisms shape national AI policy, development-bank procurement standards, and multilateral norms — but a company cannot be sanctioned directly for GDC non-compliance.
Why is the US absent from the UN AI governance process?
The Trump administration opposes UN-centred AI governance, preferring American regulatory autonomy and bilateral arrangements that preserve US technological dominance. At a UN Security Council debate in September 2025, the US explicitly opposed the Global Dialogue on AI Governance initiative. Without US participation, the process lacks the jurisdictional reach to govern the AI systems most widely deployed globally — but it still shapes the policy environment for the 100+ developing countries that see the GDC as their primary governance reference point.
How does the African Union’s Continental AI Strategy connect to the GDC?
The AU Continental AI Strategy, endorsed by the AU Executive Council in July 2024, explicitly aligns with GDC objectives around people-centric development, independent oversight, and regional cooperation. In practice, this means AU member states — including Algeria — are expected to develop national AI frameworks that reference both the AU strategy and the GDC’s responsible AI principles. The GDC’s capacity-building provisions (technology transfer, training programs) provide the implementation mechanism that makes the AU strategy actionable for countries with limited AI governance infrastructure.
Sources & Further Reading
- Global Digital Compact — UN Pact for the Future Annex I
- Global Dialogue on AI Governance — United Nations
- AI Governance: Three Lessons from the Global Digital Compact — UN Foundation
- What the UN Global Dialogue on AI Governance Reveals About Global Power Shifts — CSIS
- Priorities for Africa: Artificial Intelligence Governance at the Global and National Level — Stimson Center
- African Ministers Adopt Continental AI Strategy — African Union
- Global Digital Compact: 3 Takeaways for Effective AI Governance — Funds for NGOs
