Every time I visit India, I'm struck by how AI is already starting to have a profound impact on people's lives.

Satya Nadella - the listed solution seems nascent in terms of rule based systems versus ai based systems( for eshram). It benefits greatly from azure’s cloud based security and privacy to process transactions at scale which would not have been possible. However the ai capabilities mostly revolve around live language translation in 22 languages. Its a good step forward but there is so much more potential to how they could use AI for more than just finding out what skills sets are required for future jobs( plumbers) etc to upskill. The ai resume builder , learning path from where you are to where you want to be etc. would be gamechangers. Would love to see more of these as services in azure as any government( national/ regional) would be able to reuse it.

At Ment, we’re seeing the same thing in a smaller but very clear way: when AI is placed closer to where real decisions are made in policies or in everyday work its impact grows fast. Our focus is on building AI that makes things easier for people who usually aren’t part of formal digital systems. When you make it simple for someone to get information, prove who they are, and reach new opportunities, everything else becomes easier too.

Impressive to see AI creating such tangible impact in India. And a reminder that countries like Germany still have significant untapped potential in applying AI to public services and labour markets at scale.

AI partnerships like this one with Indian Ministry of Labour are positive steps, but they address only one layer of India’s challenges. Technology must go beyond connecting workers. It should tackle systemic issues that block progress: ◉ Air and river pollution – Deploy AI-driven monitoring and enforcement systems for industrial discharge and urban emissions. And Implement #UGDMN ◉ Water stress – Use predictive analytics for groundwater management and optimize irrigation through smart sensors. ◉ Traffic gridlock – Implement AI-based traffic flow algorithms and real-time route optimization integrated with public transport. ◉ Scam centers – Strengthen cybersecurity frameworks and AI fraud detection to dismantle organized digital crime. ◉ Job quality – Focus on AI in manufacturing, logistics, and agri-tech to create skilled employment, not gig work. ◉ Inequality – Use AI for targeted education and healthcare delivery in rural zones to bridge gaps. ◉ Climate awareness – Build AI platforms that explain real climate drivers like solar cycles and cosmic influences, not narrow CO₂ narratives. ◉ Development – Align AI with infrastructure, energy, and transparent governance to push India toward developed status. #UGDMN: totrade.co/o

Access + Skills + AI can transform a worker’s entire economic trajectory. One ID on e-Shram. One skills upgrade. One job platform. A worker earning ₹12,000 can suddenly earn ₹18,000–₹24,000. Not because opportunity didn’t exist… but because visibility, clarity and access didn’t. What struck me most in this story: A simple digital identity unlocked formal jobs AI tools helped workers build résumés, understand skills gaps, and prepare for interviews A worker earning from manual labour can now double income with data-entry skills Technology is not replacing them — it’s elevating them This is the next decade in India: Workers moving from invisible → visible. From informal → formal. From underpaid → upwardly mobile. AI won’t take their jobs. AI will take away their limitations. And the biggest lesson? Progress starts the moment you stop guessing your value and start upgrading it.

An inspiring example of how technology can drive social impact at scale. Empowering millions of informal workers with access to jobs and security is exactly where AI can make the most meaningful difference.

What stands out here isn’t just the technology — it’s the operating model behind it. National platforms like e-Shram and NCS don’t succeed because of scale alone. They succeed because the reasoning layer is structured: • clear identity systems • consistent data flows • human-AI handoff points • governance built into the workflow AI becomes transformative only when the environment it enters is organized enough to absorb it. This partnership shows the next phase of AI adoption: • Not “AI as a tool,” • Not “AI as automation,” • But AI as public infrastructure — shaping how people make decisions, move between jobs, and build long-term security. The real breakthrough isn’t the model. It’s the system that lets 300M+ people benefit from it. And we’re just starting to see what happens when national-scale platforms are designed around structured cognition, not just technology.

Hmm, that is concerning, Satya Nadella! Last time Microsoft had access to millions of people, you empowered and enabled mass surveillance. Now we’re talking about 300 million! How do we trust you and Microsoft!? How do we trust you and Microsoft not discriminating based on ethnicity, personal desires. How do we trust that you are not engaged in illegal monitoring and reporting! You have done it once at a massive scale; mass surveillance of 2 million people in Gaza. What is stopping you and Microsoft from repeating the same unethical and illegal behavior!

What’s happening in India right now is an incredible reminder that AI isn’t just about innovation-it’s about access, opportunity, and uplift at scale. Connecting millions of informal workers to better jobs through digital pathways shows how powerful this shift can be. At Savvy Indians, we’re seeing the same momentum at a grassroots level where people are eager to learn how AI can improve their work and daily life. It’s inspiring to see technology creating real, meaningful impact across the country.

Indian applications market is huge ,largest democracy by population of 1.5 Billion population hungry for growth is a good opportunity for the AI startups as well as the bedrock companies such as Microsoft, OpenAI, Google, Perplexity, Anthropic etc., in the US. We can not ignore such a large opportunity for very long as we want to grow and acquire new market for our AI startups