Tag Archives: AI

Making AI Work for All: You Ask, We Answer

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You are receiving this email because you signed up for our World Bank Live Updates. We want to let you know that we have a new event coming up.   February 11, 2026   <a href="https://t.newsletterext.worldbank.org/r/?id=h2b08fbb1,eee1fdd,ef262e4&e=cDE9PGIgc3R5bGU9J2NvbG9yOg&s=moq4BV9sf59jrkGzm1tQd27yflhKkjicSn9DILXeFME#004370;font-size:16px;'>Making AI Work for All: You Ask, We Answer Making AI Work for All: You Ask, We Answer   Location: Online   What is small AI, and how can it help developing countries tackle real-world challenges? In this live Q&A, two World Bank Group experts, Johan Bjurman Bergman and Lana Graf, will discuss how practical, affordable, and adaptable AI tools are improving health, agriculture, education, service delivery, and support for small businesses.
  Submit your questions in advance to learn how governments are expanding access to AI foundations—skills, data, and computing infrastructure—and why partnerships with the private sector matter for scaling solutions.
  Sign up for an event reminder and join us live. Experts will answer questions in the chat during the session. World Bank Live Development Events Brought to You Live

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When the cloud meets a thirsty world

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Throughout history, water has been the quiet engine behind progress: farmers irrigate fields to grow crops; industry needs it to produce goods and generate energy; and people, communities and cities draw on it for drinking, sanitation, and public health. Technology also made it possible to reach deeper aquifers and more distant rivers, expanding water use and exposing fundamental tensions in how water is valued and distributed, and who bears the costs. 

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The future is Africa: Shaping AI-enabled EdTech for skilling the next generation

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By 2050, one in three of the world’s children will live in Africa. Yet this demographic shift coincides with a profound learning crisis: over 70 percent of children in low- and middle-income countries (LMICs) cannot read and understand a simple text by age 10—and in Sub-Saharan Africa, the figure reached 86 percent before the pandemic. Without rapid acceleration in foundational learning outcomes, this demographic advantage risks becoming a source of deeper inequality and lost opportunity, talent, and productivity in the labor market.

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Can AI give small scale producers the right advice?

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The World Bank has long recognized the critical importance of agricultural extension services – ranging from training and data to technology transfer – which make up the second-largest share of its agriculture portfolio.  Yet farmers have often been slow to adopt the very methods and tools these services are designed to deliver—limiting their own productivity and the sector’s potential to create jobs.

That’s in large part because they depend on limited numbers of extension agents: the field advisors responsible for providing them with data, training and advice. Most countries have just one extension agent for every 1,000 to 2,000 farmers.

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From open data to AI-ready data: Building the foundations for responsible AI in development

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The production and use of development data have undergone significant transformation over the past two decades. The shift from paper-based records to digital formats has made data more accessible and easier to share. The open data movement has dramatically increased the availability of government and institutional datasets, which in turn catalyzed greater opportunities for analysis, transparency, and innovation. And major advances in big data and data science have further expanded both the volume and diversity of information guiding development policy.

Amid rapid advances in artificial intelligence (AI), development data has now reached another pivotal juncture: the evolution to AI-ready development data—data that is readily discoverable, comprehensible, accessible, and usable by both humans and AI applications.

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How AI can support anticipatory action to address forced displacement

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Refugee crises are often seen as unpredictable emergencies.  In a context of acute suffering, assistance is often rushed to those who have just fled conflict and violence and delivered within the communities that receive them. But what if refugee movements could be forecasted? What if hosting countries and their partners had the time to prepare for large inflows of people?  With more than 122 million forcibly displaced people worldwide — double that of ten years earlier — these questions are pressing.

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Is Artificial Intelligence the future of farming? Exploring opportunities and challenges in Sub-Saharan Africa

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Across Sub-Saharan Africa, a quiet revolution is underway. Smallholder farmers are increasingly leveraging Artificial Intelligence (AI), once a futuristic concept, to transform agriculture. AI now plays a crucial role in addressing the region’s most pressing challenges: food insecurity, environmental degradation, and economic inequality. 

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AI’s impact on jobs may be smaller in developing countries

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Artificial intelligence is transforming the global workforce, but its impact may not affect all regions equally. Much of the conversation about AI and jobs focuses on high-income countries—where the technology threatens to reshape entire industries. But what will AI mean for workers in developing nations, who constitute 80 percent of the global workforce?

To better understand AI’s labor market impact in the developing world, in a recent paper we analyzed data from 25 countries, covering a population of 3.5 billion people. For workers in those countries, we assessed the level of AI exposure, which captures to what extent their jobs could be performed using AI. Our findings suggest that AI’s effects on jobs will be more gradual in the Global South, particularly in low-income countries.

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International Day of Education 2025: Digital solutions for equitable education systems

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The 2025 International Day of Education inspires reflectionson the power of education to equip individuals and communities navigate, understand and influence technological advancement. This year the focus is “AI and Education: Preserving Agency in a World of Automation.”

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