Harnessing Data and Intelligence for Collective Advantage 2026

Conclusion As the Partnership demonstrates, with federated data and agentic AI, privacy safeguards and shared accountability, ending forced labour becomes an achievable global goal. The world has more information about forced labour than ever before, yet still lacks the commitment and connection needed to turn knowledge into change. By aligning technology, incentives and impact, the Global Data Partnership Against Forced Labour shows how secure data collaboration can begin to transform fragmented information into shared intelligence. This strengthens accountability, improves efficiency and helps lay the groundwork for measurable progress towards the elimination of forced labour in supply chains. Establishing a trusted, precompetitive framework for data collaboration also reinforces the wider ecosystem for responsible supply chain intelligence, expanding opportunities for innovation while advancing shared social goals. If scaled responsibly, this model can help make forced labour, a centuries-old injustice, a preventable risk within global supply chains. For business leaders, it means moving from compliance to collaboration: contributing data, insights and technology in ways that build systemic visibility and enable collective action. For governments, it offers a trusted framework to align policy, resources and evidence. For civil society and worker organizations, it provides a platform to translate worker insights into systemic solutions. For investors and donors, it strengthens the evidence base for responsible investment and targeted resource allocation. The next step is collective. Ending forced labour will require leadership, collaboration and courage from every actor: governments willing to share visibility, businesses ready to align on transparency and civil society committed to driving accountability. Governments, businesses, worker organizations and investors each have a role in contributing responsibly and acting on shared intelligence to advance measurable prevention and remedy. Through participation, stakeholders strengthen not only collective visibility but also their own leadership in transparency, due diligence and ethical innovation. Harnessing data and intelligence for collective advantage is no longer a technical aspiration; it is a practical pathway towards shared accountability and a fairer global economy. Harnessing Data and Intelligence for Collective Advantage: Ending Forced Labour in Global Supply Chains 23