Topic
18 articles explore this thread.
On algorithmic platforms, distribution is earned by predicted engagement, not by human-judged quality. This article explains why the reward function favors loud content and what quality creators can do about it.
Examines how follower inequality and algorithmic seeding create a Matthew effect in creator markets, making reach itself the scarce resource and leaving quality content without distribution.
Shows how fragmented attention and shallow work early in a career create compounding costs, while small habits of depth build skill and optionality that shape later career stages and family life.
Compares India's current startup and innovation portfolio with the deep-tech and AI infrastructure it could prioritize.
Generative AI lowers the cost of writing, coding, translating, designing, tutoring, and many knowledge tasks. This article maps what is becoming cheap, what India is building, and why the payoff depends on whether reclaimed attention flows into learning or back into extraction.
Practical strategies for working adults to reclaim commute and downtime for small acts of learning and creation.
Offers practical guidance for students using AI: active learning, public note-taking, peer teaching, and avoiding the answer-generation trap.
India's creator economy is reaching massive scale, yet few monetize well and income concentrates at the top. This article examines the gap between aspiration and livelihood, and asks what the AI moment means for young Indians betting on viral attention.
Reframes India's AI opportunity as a compounding function of attention. Uses Gallup, NASSCOM, and public AI-readiness data to show how small shifts in daily learning, work, and creation habits could aggregate into large differences in national capacity over the next decade.
Shows how ordinary citizens can use AI to produce local knowledge and help neighbors, moving from online consumption to offline civic contribution.
Honest uncertainty about the attention economy—causality, culture, regulation, and the choices that will shape India's next decade.
Uses historical technology transitions to show that access alone does not determine benefit; the distribution of gains depends on institutions, literacy, and norms.
Uses cross-country historical comparisons to show that missing a technology transition has persistent economic and geopolitical consequences.
A standalone essay on how entertainment-driven screen use is wasting the most precious resource you have — your own attention — and how the same device, used differently, could make you more capable with less effort than you think.
A guide to the Attention, Substance, and the AI Moment series: the diagnosis, the generational stakes, individual practice, systemic design, and curated reading paths.
Surveys how AI can amplify attention extraction through synthetic media, hyper-personalization, and automated influence, and argues for guardrails before scale.
Practical guidance on treating AI as a collaborator that drafts, translates, tutors, and debugs, while keeping the human learner in the driver's seat.
India has the youngest large population on Earth, deep software talent, and cheap AI-assisted tools. The open question is whether the next few years become a compounding bet on building, or a continuation of the attention-economy habit of consuming.