Great Middle-Class Fallacy & Road to Applied AI & AGI: 5 Myths busted

Is 70L p.a Garib? Answer to this may have contrarian wealth outcomes

If an ISB Gold medalist is victim of Great Indian middle class fallacy, you know if you think clearly & originally, you have a rare resource for contrarian outcomes on wealth, AI startups & via Road to Applied AI & AGI.

Let’s get straight – a 70L package puts you in top 0.02% of India, 0.3-0.5% of world & 20-30% of even in US. Do you call it middle class? Middle will be 50th percentile of say India or world.

Per Ashok Biyani of Future group – The maid, your delivery boy, car cleaner & all the helpers you have at home make India2 (kind of middle class between India’s rich & poor”

Think Clear on road to Applied AI & AGI & Startup

This post is not about “Be happy in whatever you have”. This post is also not about “Slumdog Millionaire” mindset of romanticizing poverty & feeling arrogance disguised in showing gratitude.

This is simply to Buust 5 Myths which are blocking Startups, Professionals from taking chances of wealth generation that Road to AGI offers.

I have nothing against ISB Gold medalists, I just want to highlight how if we just take those narratives at face value or even if we refute it without data & without first order principal thinking – it doesn’t help to build contrarian outcomes.

We put concrete Data, Bust Myths & put possible biggest unlocks which world our there doesn’t see. Beyond obvious.

When I hear startups, investors, clients claim or discuss – “Should LLMs be built or not?”, “Are Agents commoditized”, “How to build & spot the differentiation” – I see thesis created by average of social media news or at the best from crowdsourced as general perception. Still not First order principals.

Great outcomes come from “Great ideas that may look bad” – a16z partner – Scot Kupor

Myth 1: The Middle Class Fallacy

Reality & Action – Data shows you are best poised to build. Let’s build

If you are reading this blog, chances are quite high that you are among top 3-5% of world. For reference you need $30K per annum on PPP terms to make that.

Unless you fall trap to “Middle Class Fallacy” spread by social media, vague logic. If you are the one who has better resources to build than 95% of rest of the world. What do you? Take calculated risk or feel like “Middle class”

One of my earlier blogs talked about impact of startups & wealth, much before we founded vaayu.

Myth 2: It needs Billions to build, not for Applied AI & AGI

Reality & Action – Applied AGI can be started in $1M

Below is Vaayu’s cost to get going. In just $100k per month. This is applied AGI. Manus AI, Perplexity, MCP, 01. AI, Salesforce Agentforce, SAP, Microsoft Co-Pilots – there are numerous examples to build on LLMs which can be frontier in their own space.

You need deep skills to build this over time which compounds.

Myth 3: We need top AI researchers at millions of dollars & patents

Reality & Action – For Applied AI & AGI – top software engineers can build. Don’t go for overkill

Indian eco-system – (both AI product ideas as well as VC thesis) has done pure copy cat of what happened in “Middle-Class Fallacy”. We have recreated what originates in US in various forms. That lacks – “First order principal thinking” & hence we miss opportunities.

So I have seen among VCs – “Trying to copy a team of OpenAI in India in budgets of a mobile application” or end up investing in AI Enabled basic application. Which is pure play Capital burn game.

Real game is contrarian – Applied AI & AGI – Sandwich b/w LLMs & App layer

Let me put stats. India has roughly 100,000 top notch engineers who would be exact match of 3-8% percentile of US. Many my friends in Silicon Valley are equivalent to this. They make top earners even in US. In my days in US, UK & Germany – I worked among these.

This is the area where you build platforms like – Salesforce Agentforce, SAP Co-pilots, Perplexity, MCP & so on.

Vaayu built Salesforce Agentforce like product for SMEs. This is being backed by Applied Artificial General Intelligence own proprietary model.

Myth 4: Enterprise AI doesn’t work from India for the world

Reality & Action – Salesforce, SAP, IBM are spreading big in India. Prepare for a floodgate.

I see so many events by Salesforce Agentforce & even US Startups to arrange events in Bandra Kurla Complex, Mumbai with banks, with automotive firms & so on.

First order thinking – Why are they doing it – if it doesn’t work in India?

Reality is most of the market will think “Trader” & “Distributor” mindset yet. So not engage users for products ahead of curve.

I have seen numerous US marketing, distribution gurus to say – “Offer value first to win trust”. I am writing this to do same. That’s how the bigger outcome is built for innovative products.

Myth 5: India has scarce resources & thus can’t build remarkable outcomes in AI & AGI

Reality & Action – Only few around the world have Abundance mindset & that’s a bane for contrarian thinkers

Scarcity mindset just as in ISB gold medalist post is common in world. it’s not to be blamed. But the beautiful part about startup, AI & AGI is one can beat any fancy degree holders with “First order principals”, clear thinking. Backed with data & compounding you start seeing things which others don’t see.

& It’s not in India alone. I read a story about a US founder who exited with $100m. He gave a party on a private yacht kind of what’s even dream for richest. The founder shared what his relative said while looking at another parked Yacht much bigger than his – “I wonder how much fun people over that yacht will have”.

Contrarian wealth outcomes in AI & AGI will be built with abundance mindset, high agency who are driven by Optimism but backed with clarity of execution, mind & data.