Concentration Vectors

India's AI Paradox Β· Geographic, Occupational, Generational

Shashwat Ghosh

"India's AI adoption is concentrated along three vectors: 4 states, 1 occupation cluster, and 1 generation. Understanding this concentration is the key to understanding both the paradox and the opportunity."

β€” Shashwat Ghosh, Cofounder & AI GTM Strategist, Helix GTM Consulting

πŸ“ Three Concentration Vectors

πŸ—ΊοΈ
4 States
50%+ of AI usage
Anthropic OpenAI
πŸ’»
1 Occupation
45.2% software tasks
Anthropic
πŸ‘₯
1 Generation
80% under-34
OpenAI

πŸ—ΊοΈ Vector 1: Geographic Concentration

Both Anthropic and OpenAI confirm that India's AI usage is concentrated in the IT corridor states.

Maharashtra
~18%
Karnataka
~15%
Tamil Nadu
~12%
Delhi NCR
~10%
Telangana
~8%
Rest of India
~37%

Top 4 states = 55%+ of Claude usage. All are IT corridor states (Mumbai, Pune, Bengaluru, Chennai, Hyderabad).

πŸ’» Vector 2: Occupational Concentration

Software-Related Tasks

45.2%

#1 globally by occupation concentration

Non-Software Tasks

54.8%

Writing, research, business, etc.

This concentration is both a strength (world-leading coding productivity) and a limitation (narrow use case diversification compared to Global North markets).

πŸ‘₯ Vector 3: Generational Concentration

18-24
~50%
25-34
~30%
35+
~20%

80% of ChatGPT messages from under-34s. This generational concentration will compound as these users age into decision-making roles.

πŸ’‘ The Strategic Takeaway

The three concentration vectors create a clearly defined addressable market: young software professionals in 4 metro clusters. This is not India's 1.4B population β€” it's roughly 20% of the working-age population. For GTM, this concentration is both the current opportunity and the future expansion frontier.

Shashwat Ghosh

Shashwat Ghosh

Cofounder & AI GTM Strategist

HELIX CONSULTING

πŸ“Š 4 Data Sources