Universal Basic Equity: Who Owns the AI Future?
If humanity’s accumulated knowledge helps create extraordinary AI wealth, should humanity receive more than a basic income?
If humanity’s accumulated knowledge helps create extraordinary AI wealth, should humanity receive more than a basic income?
If AI companies can commercially learn from humanity’s knowledge, should humanity receive a return?
If AI reduces the amount of human labour needed to produce goods and services, the real question is not simply how to save existing jobs. It is how society should redesign work, income and economic participation.
AI may not need to replace entire occupations to transform employment. By reducing tasks, expertise, construction time, maintenance and labour required per unit of output, AI could change the relationship between production and employment itself.
AI could make software dramatically more useful while creating new conflicts between what users want and what AI providers may be rewarded for. The real question is who the agent ultimately works for.
A satirical thought experiment: if humans, AI systems and robots ever become competing factions, can one clever human remain friends with everyone—and survive by backing whoever wins?
AI may not simply destroy jobs. It may remove the economic ladder through which ordinary people historically climbed—and force society to rethink work, ownership, distribution, purpose and freedom.
AI may not merely create artificial intelligence. It may create an economy in which human intelligence itself becomes scalable—through Mind Books, cognitive access, attribution and royalties.
AI is making intelligence, coordination and information cheaper. Could that eventually change how money, local economies and even government work?
AI may do more than replace individual tasks. By automating information processing, coordination and decision-making, it could compress the managerial hierarchy itself.
SEBI’s FY25–FY26 data reveal a much more complicated F&O picture than simply “most traders lose.” Capital, option strategy, prior profitability and experience all tell different stories.
AI is making production cheaper. As generation becomes abundant, the scarce skill may shift to evaluation, judgement, context, cross-domain thinking and recognising what the machine missed.
AI can make an idea look dramatically larger, deeper and more sophisticated without necessarily contributing the original thought. The Thought Magnifying Glass (TMG) model offers a simple way to examine this phenomenon—and one possible mechanism behind the AI bubble.
