AI for Real Change: Why We Must Shift from Vanity to Vitality in Artificial Intelligence Use
In recent years, artificial intelligence (AI) has become an astonishingly powerful tool. It writes emails, generates hyper-realistic images, answers questions, and churns out articles at the click of a button. These tasks, while impressive, represent a shallow fraction of what AI is capable of. Unfortunately, the current mainstream application of AI is overwhelmingly centered around convenience, vanity, and entertainment, rather than addressing the core socio-economic and environmental challenges that deeply affect billions of people—especially in countries like India.
This obsession with using AI for cosmetic tasks is not just a missed opportunity; it’s a societal misalignment of priorities.
The Disconnect: Artificial Intelligence vs. Real-World Problems
India, with its vast diversity and complexities, is a prime candidate for AI-led transformation. Yet, we continue to direct AI’s formidable power toward tasks that, while commercially attractive, are trivial in comparison to the real crises at hand.
Consider agriculture—still the backbone of India’s rural economy. A staggering portion of Indian farmers remain dependent on unpredictable monsoons. Crops fail when rains fail. Prices crash when yields are too high. Despite this volatility, AI has not been robustly directed toward optimizing crop cycles, building predictive models for rainfall, or designing real-time advisory systems for small farmers. These are solvable problems with the right AI applications.
Similarly, a lack of data-driven governance continues to impede India’s social welfare schemes. We have the technology to map economically backward populations and ensure targeted delivery of government benefits, but this remains underdeveloped. AI could create a real-time, adaptive system that identifies people in need, reduces leakage in funds, and improves transparency—yet it's largely unused in this domain.
Wasting Potential on Digital Mirrors
Instead, the most widely celebrated use cases for AI include:
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Writing emails and essays for professionals who are often already well-off.
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Generating portraits and fake photography to fuel social media likes and virtual influencers.
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Composing product descriptions for e-commerce platforms selling to the urban elite.
This isn’t innovation—it’s digital indulgence. We are training powerful minds and building revolutionary technology only to help CEOs avoid typing emails and influencers craft better captions.
The Real Mandates for AI in India
Let’s talk about what AI should be doing:
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Rainfall Prediction and Smart Irrigation
Using satellite data and historical weather patterns, AI can help predict rainfall and optimize irrigation schedules. This would make agriculture more resilient and reduce dependency on monsoons. -
Efficient Disbursal of Welfare Schemes
By analyzing census data, mobile usage, bank records, and other socio-economic indicators, AI can help identify beneficiaries for welfare programs, ensuring that no one is left behind. -
Sustainable Infrastructure Planning
AI can be used to map traffic flows, optimize road networks, and propose environmentally sustainable transport solutions, especially in densely populated urban and semi-urban areas. -
Tracking Marine Ecosystems
With India’s vast coastline, AI can track migratory fish patterns, prevent overfishing, and recommend sustainable fishing practices—balancing economy with ecology. -
Food Safety Monitoring
From analyzing supply chains to detecting banned additives in packaged food, AI can ensure safer food reaches Indian households. This is crucial in a country plagued by under-regulation and health crises.
A Call to Redirect the Narrative
AI doesn’t need to be flashy—it needs to be effective. It’s time Indian policymakers, tech entrepreneurs, and researchers redirected their focus. The goal should be impact, not impression. India has the talent and the technological base to lead in AI-for-good, but not if we continue to feed the demand for automation of luxury.
If we want AI to be a tool of empowerment, it must be grounded in the lives of those who need it most—not just those who can afford to play with it.
It is time to demand a shift—from aesthetic AI to actionable AI. Because in the battle between likes and lives, the choice should be obvious.
Let us not build intelligence that looks good. Let us build intelligence that does good.