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Zerodha’s Kamath says AI is now table stakes in startup pitches
Our read
AI branding stops winning startup meetings; demonstrable distribution, proprietary data and ROI become the new fundraising premium.
For operators
Treat AI as operational table stakes, not a headline—show measurable workflow gains, proprietary data advantages, and execution discipline in the business plan.
Watch
A rise in investor requests for customer references, production usage metrics and data-governance documentation.
The report,
Zerodha CEO Nithin Kamath says AI has become table stakes in startup investment pitches, warning founders that generic AI claims and polished AI-made decks no longer differentiate businesses for serious investors.
Who and when
From the report. Source details below
- 85%
What to watch next
- Down rounds or failed raises among generic AI wrapper startups.
- More term sheets tied to pilot milestones, revenue thresholds or technical diligence.
- Accelerating enterprise procurement requirements around privacy, security, model reliability and IP ownership.
- Increasing venture funding concentration in vertical AI, data infrastructure and agentic workflow companies.
The counter-case
The case against this reading — not reported by the source.
Calling AI 'table stakes' risks collapsing a meaningful distinction: for many startups, credible AI capability is still scarce because production data access, model evaluation, unit economics, security, and workflow integration remain hard. Investors may be fatigued by superficial AI branding, but that does not mean AI itself has become a baseline requirement across sectors. An overcorrection could cause investors to undervalue founders building genuine AI-native advantages or back conventional businesses that merely sound disciplined.
The source
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