AI Threat Assessment · 26 May 2026

1990 Research Labs

User Research Consulting
COOKED
7.8/ 10

1990 Research Labs built a beautiful niche as India's first user research studio focused on startups, mastering the art of turning three-hour interviews into actionable insights about what Indian consumers actually want. The problem is that Claude now conducts those same interviews through chat, analyzes behavioral patterns from app usage data in real-time, and delivers personalized user personas without anyone having to sit through another 'heart-to-heart conversation' in a Bangalore conference room.

Business Model
8.5
Automation Risk
8.0
Moat Strength
6.0
Adaptability
6.5
Need Survival
8.5
AI Threat Level
BUSINESS MODEL REPLACEABILITY

Their pitch is 'we've mastered the art of listening' to users through interviews and usability testing — which was genuinely valuable until Perplexity started analyzing user behavior patterns from actual product usage data and Claude began generating user personas from social media footprints without scheduling a single interview.

8.5
WORKFORCE AUTOMATION RISK

User interview facilitation, insight synthesis, and workshop facilitation — the entire consulting delivery model — gets replaced by AI that can analyze user sentiment from support tickets, app analytics, and social listening faster than you can say 'Notion dashboard.'

8.0
MOAT STRENGTH

Their India-specific cultural insights and startup network relationships are real assets that can't be downloaded, plus the testimonials show genuine client satisfaction with their depth-over-breadth approach. But cultural understanding is precisely what large language models are getting scary good at — and relationship moats dissolve when the underlying service becomes commoditized.

6.0
AI ADAPTABILITY SIGNALS

They're already offering 'AI Summaries' for interview insights, which suggests they see the writing on the wall — though bolting AI onto a manual interview process feels more like digitizing the horse cart than building the automobile.

6.5
WILL THE NEED SURVIVE AI?

Understanding users survives; hiring consultants to conduct interviews to understand users doesn't. AI eliminates the question 'what do our users think?' by continuously analyzing what users actually do, making scheduled conversations feel quaint.

8.5
Verdict

The business model assumes that user insights require human conversation, but AI is turning behavioral data into user understanding without the focus groups. They built India's most thoughtful user research consultancy right as AI was learning to read minds directly from the data exhaust.

Scores are based on public information and AI analysis. This is an affectionate roast, not a financial assessment. The best companies use this as a mirror, not a verdict.

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