By Siddharth Jaiswal, Founder of 1founder.ai, AI Boardroom for Startup Validation
Why next, in the AI era things are moving really fast. Globally, solo and duo-founders have used AI tools and created successful ventures, proving technology is no longer the moat. Medvi, a GLP-1 telehealth platform, is now a billion-dollar company built in just two months with $20,000 and a dozen AI tools.
Imagine, if this was to be built before 2024 how much effort, time, money and failures would have been needed. I have been in the entrepreneurship space since 2017. Pre-AI, working on a startup just to build a prototype used to take 5-6 months and significant dependencies. Today, tools like Claude Code, Codex, Cursor, and Emergent have made that same work a matter of days. ‘Technology is now no more a moat’
But if everyone has access to the same tools, what differentiates the winners? It’s not just the idea or technology. It’s the quality of thinking at the idea stage, the depth of customer insight, the willingness to challenge assumptions, and distribution strategy. The founders who understand this and treat AI as more than a chatbot will definitely have the edge. But understanding it and acting on it are two very different things. And that gap is where most first-time founders quietly get left behind.
There’s a pretty real, if rarely spoken about, inequality running through the Indian startup ecosystem. It isn’t just about money. It’s about who you can call when you don’t know what to do next. The network and the early access are paramount.
Picture this: Someone graduates from IIT Bombay and decides to start-up. Before they even realise, they walk into the game with a personal network that’s better than most early-stage investors. They have the invisible leverage, access to the alumni network. If they need someone to review unit economics? They know a CFO who’ll pick up the phone. Want to sanity-check go-to-market plans? They’ve got a former GTM lead on WhatsApp. For everyone else, that kind of advice comes together slowly and usually at the point when something’s already gone wrong or its too late.
But that’s starting to shift. Not because everyone suddenly has a great mentor, but because intelligence is becoming easier to access through AI, whether its Ajay in Mumbai or Sanjay in a remote village in Maharashtra
Why there’s always been an advisor gap
India hit more than 223,000 DPIIT-recognised startups by April 2026. Nearly half weren’t built in the metros; they came from smaller cities, built by people without the pedigree, the polished networks, or the ready-made support systems. Many of them are first-generation founders, often building things solving customer pain points which they have lived. They don’t lack insight but the room that gives them the honest, un-biased, multi-disciplinary, in-the-moment advice that stops a small blind spot from becoming an expensive mistake.
And that’s precisely where AI advisors will play a defining role. Not as a chatbot, but as a boardroom you walk into. A CFO questioning your unit economics. A strategist challenging your market sizing. A legal voice flagging risks you hadn’t considered. A consumer researcher asking who your actual customer is. All of them, in the same session, before a single rupee is committed to the wrong direction. The kind of room that every unicorn eventually builds now with AI advisors will be available to every founder, from day one.
In the next five years, India will see billion-dollar companies emerge from Bharat, built by solo founders and lean teams who didn’t have the IIT network or the Koramangala coffee circuit, but had something arguably more powerful: the clarity that comes from being forced to think rigorously, early. That future is closer than most founders realise. The gap isn’t access to AI anymore, it’s understanding what AI advisors are actually built to do.
What AI advisors are actually for
Sam Altman said it plainly: “You’ll have billion-dollar companies run by two or three people with AI.”
But the term “AI advisor” gets thrown around loosely and mostly it indicates a chatbot. A chatbot fetches information but an AI advisor tells you what you’re not seeing.
What actually matters here is multi-agent AI. Different agents, each built to reason from a specific domain such as strategy, finance, legal, product. All debating and challenging the same problem parallelly. And they disagree. That’s part of the job. Real boards never just nod along, they argue. The CMO wants to spend on growth, the CFO questions runway, the lawyer points out regulatory risks. A well-built AI setup recreates that messiness—the friction where better decisions happen and it does it fast, early, and at a cost that doesn’t burn up your runway.
This isn’t some far-off idea. McKinsey runs alongside 25,000 AI agents now. Landbase says two-thirds of the world’s agentic AI market has already shifted toward coordinated systems instead of single, siloed tools. A new category of tools is emerging specifically for early-stage founders – platforms that go beyond generic chat to validate, challenge, and stress-test ideas. The on-demand boardroom is becoming a product.
What AI advisors can’t do
Let’s be blunt: There’s plenty of things AI can’t do now. It can’t sit in a boardroom and notice how someone bristles at feedback. It can’t build the kind of trust that comes from years of working alongside someone.
But the real danger for founders isn’t blind faith in AI. It’s intellectual passivity. If you take every AI output as is and stop asking questions, you’re missing the point. You get better answers when you fight back, when you dig deeper, challenge what comes your way, and use the machines to think harder, not just faster. Data didn’t replace the coach; it gave the coach better questions. AI advisory works the same way. AI advisors aren’t replacing an expensive board but for many of them, it will be the first real board they’ve ever had. And that changes everything.