Tom Njoroge is building AI for a healthcare system that cannot afford abstraction. His work
Kumwenda is trained as an earth scientist and drone pilot. She studied Earth Sciences at the University of Malawi and later specialized in drone and data technologies through the African Drone and Data Academy. She also completed training in precision agriculture, grounding her technical skills in the realities of land use, food systems, and environmental risk.
For Ginette Azcona, the problem is not that artificial intelligence lacks principles. It is that governance has remained detached from capacity, participation, and power.
Amazon’s robotics journey shows how automation, human labor, and AI co-evolve—less about replacing people, more about redesigning the economics and physics of fulfillment at planetary scale.
Artificial intelligence is accelerating the demand for continuous upskilling and reskilling—from digital and AI-native competencies to human-centric problem solving—reshaping how individuals, employers, and nations invest in lifelong learning.
Artificial intelligence’s rapid scale-up is quietly driving emissions and water use toward city-scale levels—yet weak disclosure makes the true footprint far larger and murkier than reported.
Human decisions—not algorithms—determine whether AI expands human freedom or quietly narrows it, especially for those whose opportunities hinge on policy choices made today.
Algorithms now quietly mediate political attention, reshaping what voters encounter, amplify, and ignore—often faster than democratic safeguards can respond.