In 2007, Maya chose software engineering. Her twin brother Leo chose the family farm. At dinner, Maya became “the future” and Leo became “the past.”
Then history changed direction.
The Web made office work global and machine-readable. Precision agriculture brought GPS, yield monitors and data into the field. Generative AI accelerated Maya’s tasks and advised Leo—but neither machine could carry responsibility for the consequences.
Maya and Leo are fictional composite characters. Historical and labor claims are grounded in public material from CERN, USDA ERS, FAO, USDA NIFA, GitHub Docs and the International Labour Organization.
Sources:
CERN — The birth of the Web: https://home.cern/science/computing/the-birth-of-the-web/
USDA ERS — Precision agriculture adoption: https://ers.usda.gov/amber-waves/2016/december/precision-agriculture-technologies-and-factors-affecting-their-adoption
ILO — Generative AI and Jobs, 2025 update: https://www.ilo.org/publications/generative-ai-and-jobs-2025-update
FAO — The State of Food and Agriculture 2022: https://www.fao.org/publications/sofa/2022/en/