Governments around the world are increasingly turning to artificial intelligence to improve public services while operating under tighter budgets. AI presents a transformative opportunity to enhance efficiency, responsiveness, and equity in government operations. From accelerating patent reviews and detecting fraudulent benefit claims to identifying and repairing potholes more quickly, governments at all levels are deploying AI solutions at an accelerating pace, with new applications emerging almost weekly. While AI’s potential benefits are global, developing countries may be uniquely positioned to benefit. Unlike many developed nations, which are often constrained by outdated legacy IT systems and complex, custom-built software, developing countries are not burdened by decades-old infrastructure. This creates a rare opportunity to leapfrog traditional development stages—much like emerging markets rapidly adopted mobile technology without first building extensive landline networks. By building AI-optimized systems from the ground up, developing country governments can design solutions that are more agile, cost-effective, and tailored to local needs. This strategic advantage allows them to bypass the lengthy and expensive modernization processes that have slowed digital transformation in wealthier nations. A new report by AI Sprinters in collaboration with PwC, titled AI Works for Governments, outlines the significant potential of AI adoption in the public sector of developing countries. The report projects that widespread AI integration by 2035 could deliver a triple dividend: improved service delivery, stronger economic growth, and greater public trust in government institutions. This transformation can make governments more effective in managing resources, more inclusive in serving marginalized populations, and more transparent and accountable in their operations. To help governments navigate their AI journeys, the report introduces four “AI readiness archetypes” that reflect different stages of development and capability: Explorers: Governments just beginning to assess AI’s potential, often running pilot projects and building awareness. Infrastructure Ready: Nations with foundational digital infrastructure in place, enabling the deployment of AI applications. Governance Ready: Countries with established policies, data governance frameworks, and regulatory oversight for responsible AI use. Leaders: Governments that have scaled AI across multiple sectors, integrated it into core operations, and demonstrated measurable impact. These archetypes provide a practical framework for governments to assess their current position, identify gaps, and prioritize next steps in building a resilient, future-ready public sector. By embracing AI strategically and inclusively, developing countries can not only modernize their services but also lay the foundation for more equitable and sustainable development.