AI for Impact: The Role of Artificial Intelligence in Social Innovation

The report analyzes a dataset of 300 social innovators across 50+ countries, finding that AI is being deployed relatively evenly between high-income and low-to-middle-income countries. Healthcare, environmental sustainability, and economic empowerment are the primary impact areas, with machine learning and natural language processing being the most leveraged capabilities. However, the report identifies significant barriers, including a gender gap in leadership, a lack of localized support ecosystems in lower-income regions, and ethical concerns regarding data bias and resource intensity.

• AI adoption in social innovation is distributed nearly equally between high-income and low-to-middle-income countries, though the focus of application varies by economic context.
• Healthcare is the most prevalent domain for AI in social innovation, with 25% of innovators using the technology to advance access to health and align with SDG 3.
• Environmental sustainability is the second most common focus, with 20% of social innovators applying AI to climate solutions, primarily targeting SDG 13 (Climate Action), SDG 14 (Life below Water), and SDG 15 (Life on Land).
• Economic empowerment is a critical focus in low- and middle-income countries (LMICs), where 80% of all AI initiatives aimed at enhancing livelihoods are based.
• There is a significant gender gap in AI-driven social innovation; only 25% of these initiatives are led by women, compared to 50% of all social enterprises globally.
• The support ecosystem for AI in social innovation is heavily concentrated in high-income countries, particularly the US, leaving low- and middle-income countries with few localized initiatives or support structures.
• Social innovators face several systemic barriers to AI adoption, including data biases, technical complexity, high resource and energy demands, and regulatory uncertainties.
• AI provides tangible operational benefits to social innovators, including increased efficiency through automation, real-time responsiveness for conservation, and personalized interventions for beneficiaries.

APA

World Economic Forum (2024). AI for Impact: The Role of Artificial Intelligence in Social Innovation. https://www3.weforum.org/docs/WEF_AI_for_Impact_Social_Innovation_2024.pdf

Chicago

World Economic Forum. AI for Impact: The Role of Artificial Intelligence in Social Innovation. 2024. https://www3.weforum.org/docs/WEF_AI_for_Impact_Social_Innovation_2024.pdf.

Wikipedia

{{cite report |author=World Economic Forum |title=AI for Impact: The Role of Artificial Intelligence in Social Innovation |date=April 2024 |url=https://www3.weforum.org/docs/WEF_AI_for_Impact_Social_Innovation_2024.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldeconomicforum2024impact, author = {{World Economic Forum}}, title = {{AI for Impact: The Role of Artificial Intelligence in Social Innovation}}, institution = {World Economic Forum}, year = {2024}, month = apr, url = {https://www3.weforum.org/docs/WEF_AI_for_Impact_Social_Innovation_2024.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }