The whole “Silicon Valley knows best” narrative? Dead. Indian tech creators are running laps around traditional reviewers right now. We’re in this bizarre moment, November 2025, where Google just dropped Gemini 3 on November 18th, and Reliance Jio bundled 18 months of free premium AI access for their 5G users. Worth ₹35,100, by the way. Nobody asked for permission to become the centre of AI discourse. It just happened.
What makes these ten creators different? They’re building stuff. Teaching boot camps. Some launched actual start-ups. Their combined reach touches hundreds of millions of people who want straight answers about whether ChatGPT will take their job or just make lunch breaks shorter. These aren’t people reading spec sheets on camera. They’re stress-testing tools until something breaks, then explaining what went wrong and why you should care.
Top 10 Indian Tech Experts To Follow
Gaurav Chaudhary (Technical Guruji)
23.7 million YouTube subscribers. That number’s ridiculous until you watch Gaurav Chaudhary actually explain something. Technical Guruji doesn’t do the typical “here are seventeen features” thing. He opens with: Can a student afford this? Will it help you get work done faster or just look pretty in screenshots? When AI models launch, he treats them like appliances. Does it work? Is it fast enough on Indian internet speeds? Should you cancel Netflix to pay for it? Prime Minister Modi gave him the National Creators Award for Best Tech Creator in March 2024, which tells you how mainstream his influence runs. His Pariksha Pe Charcha 2025 appearance shaped how millions of students think about AI, not as some scary job-stealing robot but as something that might actually help them study smarter.
Krish Naik
You know those creators who explain machine learning in four minutes and somehow make it click? That’s not Krish Naik. He’s got 1.3 million subscribers who showed up specifically because his videos run long, go deep, and don’t skip the hard parts. His 2025 roadmap for learning AI starts with “here’s how to stop feeling overwhelmed” and ends with you understanding agentic systems. He founded Krish AI Technologies after 14 years working at Panasonic, EY, Honeywell, and HCL. That corporate background shows. When he reviews an AI tool, he’s thinking: Would my old team actually deploy this? His boot camps train people who need more than YouTube tutorials. Companies planning AI integration strategies? They’re watching Naik’s channel, taking notes, copying his architecture diagrams into their slide decks.
Dhruv Rathee
Most reviewers test tools. Dhruv Rathee looked at the whole ecosystem and thought, “This is stupid, let me fix it.” In August 2025, he launched AI Fiesta with TagMango co-founders, hit $3 million ARR in 36 hours, and pulled 20,000 paying users. The problem he solved? Everyone’s juggling subscriptions to ChatGPT, Claude, Gemini, and Grok, then manually comparing outputs to figure out which one’s hallucinating. AI Fiesta throws all four models into one interface. Ask a question, get four answers, spot the patterns, catch the nonsense. His videos reflect that same multi-source verification approach. “Which AI is better?” isn’t his question. He asks: “Which combo of these three tools gets you the right answer fastest without lying to you?” That skepticism resonates hard in India, where people want AI tools but aren’t drinking anyone’s Kool-Aid.
Trakin Tech (Arun Prabhudesai)
15.3 million subscribers. 2.5 billion views. 3,800 videos since 2011. Arun Prabhudesai’s Trakin Tech reviews answer questions nobody else asks: Does this AI feature drain your battery? Will it work on a ₹15,000 phone? Can you actually use it on Jio’s 5G network without it timing out? The difference between Trakin Tech and flashier channels comes down to one thing: He tests everything on Indian hardware, with Indian internet, in Indian conditions. When Gemini 3 launched with its multimodal features, Prabhudessai showed how well it runs on mid-range Android devices. His “value for money” lens isn’t a gimmick, it’s the entire framework. Millions of purchasing decisions in India happen because he posted a 12-minute comparison video that showed exactly which AI camera features are real versus which ones are marketing lies.
Rajiv Makhni
Here’s the guy who won’t let companies get away with anything. Rajiv Makhni, India’s long-time “Tech Guru,” former NDTV Gadget Guru host, treats AI reviews like investigative journalism. His No B.S. Show lives up to its name. He’ll demo a feature, then immediately ask: Is this innovation or did they just rebrand something we had three years ago His 2025 coverage got uncomfortable for brands. Gemini 3’s launch came with massive claims about reasoning and multimodal understanding. Makhni tested those claims against real benchmarks, found gaps, and said so publicly. His deep-dive into “fake AI” in smartphone marketing, where companies slap “AI” labels on basic computational photography, became required viewing for anyone trying to figure out if their next phone upgrade actually includes intelligence or just better autocorrect.
Ansh Mehra
Most reviewers showcase tools. Ansh Mehra runs The Cutting Edge School and teaches people how to build businesses with them. Big difference. His content in 2025 zeroes in on: Which AI tools let you automate client work? What’s the actual business model here? Will this platform still exist in six months or did they just burn through VC money? He’s training India’s MSME community and entrepreneurs who can’t afford to mess around with shiny toys. When Mehra reviews an AI agent platform, he’s mapping out: Here’s the workflow, here’s the pricing once you scale past free tier, here’s the competitor that does it cheaper, here’s where it breaks. That practical, slightly cynical approach fills a gap pure tech reviewers miss. People trust him because he’s thinking about revenue, not just features.
Ishan Sharma
Ishan Sharma became the productivity guy by accident, he just kept testing AI tools for creators and posting what actually worked. His method’s transparent: Use the tool for seven straight days doing real work, then report back with zero sponsor pressure. That honesty built him millions of followers who know he’ll call out garbage when he sees it. His 2025 focus landed squarely on creator economy tools. ChatGPT for scripting. Notion AI for organizing. Canva Magic Studio for designs. Opus Clip for repurposing content. He’s not interested in theory. He’ll show you: I made 20 YouTube thumbnails in an hour, here’s what worked, here’s where the AI messed up colours, here’s the manual fix that takes 30 seconds. Creators watch Sharma because he tests tools the way they’d actually use them.
Sunny Savita
Sunny Savita works as a Generative AI Engineer at PwC India, which means he’s dealing with enterprise deployments where mistakes cost actual money. His YouTube channel reflects that technical depth. He explains LLMs, RAG systems, and agentic AI architectures with the kind of clarity that makes you think, “Oh, that’s how it actually works under the hood.” What sets him apart? He makes technical content accessible without dumbing it down. Live Q&A sessions where he answers real implementation questions. Demonstrations using actual business problems. His 2025 content helps professionals move from “I played with ChatGPT once” to “I’m deploying this in our workflow and here’s how I’m handling data privacy.” That bridge from theory to professional adoption matters more as companies figure out what AI integration actually means.
CodeWithHarry
Harry Jain runs CodeWithHarry, teaching over 7.9 million subscribers and millions more through paid courses. He’s trained an entire generation of Indian developers, so when he reviews AI coding tools, people listen differently. This isn’t someone trying tools for fun. He’s asking: Will this help my students write better code? Which AI assistant actually catches bugs versus which one introduces new ones? His reviews target developer pain points specifically. Which AI models understand Python better? Does this coding assistant slow down your IDE? Can it refactor legacy code without breaking everything? With courses covering Python, machine learning, and data structures, Harry’s built authority that makes his AI tool recommendations matter. Developers trust him because he’s been teaching them for years, and he won’t recommend something that wastes their time.
Tech Burner
Tech Burner’s channel thrives on one thing: calling out nonsense. Every AI tool review starts from a place of healthy skepticism. Companies claim their video generator is “revolutionary”? Cool, let’s see what happens when you actually try to make something useful instead of a 10-second demo clip. His satirical style somehow makes complex AI topics entertaining while staying accurate. The 2025 content people actually share? His videos showing AI tool limitations right next to their capabilities. “Here’s the marketing claim. But here’s what it actually does. And here’s where it fails completely.” That complete picture resonates with an Indian audience exhausted by overpromising and underdelivering. Tech Burner’s demonstrations go viral because he asks questions nobody else will: If this AI is so good, why does it keep generating people with seven fingers?
Want the full picture of India’s AI conversation? FeedSpot curates directories of the top Indian Artificial Intelligence Podcasts, Indian Tech Podcasts, Indian Tech Influencers, Indian American Tech Influencers, Indian Tech YouTubers. Updated daily, these lists connect you to voices shaping how millions of people understand and use AI technology. Whether you’re hunting for learning resources or breakthrough insights, FeedSpot’s searchable, verified community puts India’s best AI experts in one place. Your next big idea might come from someone on that list.