🎓 Computer Science Tops Programs in Africa. Natural Energy Demand Up Globally. Emerging AI Firms Lead Biopharma.
Chart of the Day #459 Looks at Digital Education Expanding In Africa, Global Natural Gas Demand, and Biopharma AI Emerging Companies Reach 64%.
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Today's Topics
🎓 Higher Education. Computer science was the most offered digital program in Sub-Saharan Africa
🍃 Green Skills. Rise in global natural gas demand
🤖 Artificial Intelligence. AI emerging companies reached 64% in biopharma
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🎓 Computer Science Was the Most Offered Digital Program in Sub-Saharan Africa

Computer science leads digital skills programs at 72% of sub-Saharan African institutions, followed by information technology at 70% and information systems at 49%. This distribution aligns with projections of 230 million digital jobs by 2030, requiring intermediate to advanced capabilities across sectors. The demand particularly affects emerging fields like cybersecurity and AI, where program offerings remain below 50%. The Digital Transformation Strategy for Africa prioritizes digitally-enabled socio-economic development through coordinated continental efforts by the African Union.
🍃 Rise in Global Natural Gas Demand

Global natural gas demand rose from 2013 to 2023, reflecting steady consumption despite post-pandemic volatility and energy diversification efforts. Growth remains driven by industrial and power generation use, particularly in Asia, even as renewables gain ground. The data highlight gas’s transitional role in balancing grids during the global energy shift. The IEA’s Net Zero Roadmap continues to emphasize a gradual phase-down through efficiency and low carbon alternatives.
🤖 AI Emerging Companies Reached 64% in Biopharma

Global AI maturity in biopharma shows 46% of companies are in the “AI emerging” stage, with only 8% reaching full AI integration. This indicates most firms are still testing or partially deploying AI tools across drug discovery, clinical trials, and manufacturing. Biopharma, which develops drugs using biological processes, relies heavily on data and precision, areas where AI offers immense potential. The US FDA’s “Digital Health Innovation Action Plan” is helping accelerate safe AI adoption in life sciences.
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