India’s Quiet AI Revolution? Open-source AI powering big Indian firms | Mentor Sandy - Billion Hopes
Автор: Billion Hopes AI
Загружено: 2026-01-20
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A quieter - but far more consequential - story seems to be unfolding in India’s AI ecosystem.
While the world debates Big Tech–controlled AI models, many Indian companies are deliberately choosing a different path: Open-source AI.
[ Open-source AI - Open-access models or Open-weight models where users have the ability to download and run them locally ]
Banks, fintechs, e-commerce platforms, IT majors, and digital infrastructure firms in India are increasingly building their AI systems on open, transparent, auditable foundations - not black-box models controlled by a handful of global corporations.
This choice is not accidental. It is about control, cost, customization, and most importantly - accountability.
Open-source AI allows Indian firms to:
Understand how models work
Audit decisions
Adapt AI to Indian languages, markets, and regulations
Avoid dependency on opaque foreign AI platforms
But this also raises serious questions.
If AI is open, who is responsible when it fails?
If models are customizable, who ensures ethical use?
If companies build on shared code, who governs misuse?
As Indian companies quietly deploy AI across payments, logistics, markets, healthcare, and governance, we must ask:
Are our laws ready for open-source AI at population scale?
Do companies have clear accountability frameworks?
Can openness actually make AI safer than closed models?
In this video we analyse - Why Indian firms prefer open-source AI? What this means for ethics, safety, and regulation? And what lessons the world can learn from India’s approach?
Sandeep Manudhane | Billion Hopes AI | https://billionhopes.ai
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