Nuclear and AI diplomacy is going “Track II” as official channels stall—who’s filling the gap?

On September 10, 2026, The Nuclear Threat Initiative highlighted a core dilemma in nuclear governance: when official channels close or slow down, “Track II” diplomacy can keep negotiations and risk-reduction work moving. The piece frames Track II as a parallel ecosystem of experts, institutions, and informal dialogues that can preserve momentum on nuclear threat mitigation even during periods of heightened political friction. In parallel, the OSCE’s Economic and Environmental Forum emphasized anticipating emerging technologies and using “science diplomacy” to address new security risks, signaling that multilateral risk management is shifting toward technical fora. A third article from Foreign Policy argues that track-two science diplomacy can deliver safeguards against catastrophic risk from AI, positioning expert-led engagement as a practical buffer when state-to-state trust is insufficient. Geopolitically, the cluster points to a structural trend: nuclear and AI risk are increasingly managed through semi-official expert networks rather than only through formal treaties and summit diplomacy. The power dynamic is that major nuclear stakeholders—specifically the United States, China, and Russia—may be constrained by domestic politics, verification disputes, and strategic mistrust, making conventional diplomacy slower and more brittle. Track II and science diplomacy benefit from lower political visibility, enabling experimentation with norms, technical transparency, and incident-prevention frameworks without requiring immediate consensus at the highest level. The likely losers are approaches that rely exclusively on headline negotiations, because they risk falling behind the pace of technological change and the speed at which misperceptions can harden into policy. Overall, the articles suggest a “governance gap” is being filled by non-state and expert channels, which can stabilize risk but also complicate accountability and alignment with formal commitments. Market and economic implications are indirect but potentially material, because nuclear and AI governance affects defense budgets, export controls, and the cost of compliance for frontier technology firms. If Track II mechanisms accelerate AI safety norms, investors may reprice risk for AI infrastructure providers and cybersecurity vendors tied to safety-by-design, model evaluation, and secure deployment. Conversely, if science diplomacy fails to translate into enforceable standards, volatility could rise in sectors exposed to regulatory uncertainty, including cloud compute, semiconductors used for AI training, and data-center power equipment. The OSCE forum’s emphasis on anticipating technologies also implies that environmental and economic planning for security risks could influence insurance premia and risk-management services for critical infrastructure. While the articles do not cite specific price moves, the direction of impact is toward higher near-term demand for compliance tooling and risk analytics, with potential upside for firms positioned to meet emerging safety and verification expectations. What to watch next is whether Track II outputs begin to converge into operational guidance that governments can adopt without losing face. Key indicators include the frequency and scope of expert dialogues involving nuclear risk reduction and AI safety, plus any public references to shared technical baselines or evaluation methodologies. For the OSCE track, monitor whether the forum’s science-diplomacy agenda produces follow-on working groups that connect technology forecasting to security planning and cross-border information-sharing. For AI, trigger points would include major model releases, incidents involving autonomous systems, or sudden export-control tightening that forces companies to seek clearer governance pathways. The escalation/de-escalation timeline likely runs on a quarterly cycle: near-term, expert networks will expand; medium-term, governments will decide whether to formalize any norms, and the risk of divergence rises if formal channels remain closed.

Geopolitical Implications

• 01

  A governance gap for nuclear and AI risks is being filled by semi-official expert networks, reducing near-term escalation risk but complicating accountability.

• 02

  US–China–Russia strategic mistrust may keep formal nuclear diplomacy brittle, increasing reliance on Track II for incident prevention and norms.

• 03

  Science diplomacy could become a new arena of influence where technical standards and evaluation methods shape strategic technology competition.

Key Signals

• —New Track II working groups and published technical baselines for AI safety evaluation and nuclear risk reduction.
• —Any OSCE follow-on mechanisms that connect technology forecasting to cross-border security information-sharing.
• —Corporate disclosures on safety-by-design, model evaluation, and verification processes that reference emerging governance norms.
• —Signs that governments are willing to formalize Track II outputs into policy or regulatory guidance.