Why AI Startups Are Skipping India: The Hidden Crisis in India's Innovation Ecosystem
🔍InsightsIndia’s AI startups are increasingly targeting global markets early, driven by unpaid PoCs, slow sales cycles, and risk-averse enterprises at home. The “Skip India” trend reveals deep flaws in local innovation culture and poses a risk to India’s tech future.

A growing number of AI and deep-tech startups in India are bypassing domestic enterprise clients altogether. This trend, now popularly known as the "Skip India" movement, is being driven not by lack of ambition but by structural and systemic hurdles that stifle innovation at home. Indian founders, even those with successful track records, are increasingly shifting focus to foreign markets early in their journey, seeing more predictable, faster-moving, and innovation-receptive customers abroad. This article dives into why this trend is accelerating, what it says about India's enterprise and innovation culture, and how it could reshape India's tech future.
The Reality for AI Startups in India
Despite India’s positioning as a global IT powerhouse and its aggressive digital public infrastructure push, most early-stage Indian AI startups are unable to find a supportive local market.

They face a unique cocktail of challenges:
- Unpaid Proofs of Concept (PoCs): Startups are routinely asked to build unpaid PoCs that demand months of work without guaranteed conversion. Unlike global counterparts that budget for innovation and are open to piloting emerging tech with budgets, many Indian enterprises treat PoCs as free trials, exhausting startup resources and morale.
- Bureaucratic Sales Cycles: Enterprise sales in India involve long decision cycles, multiple gatekeepers, and unclear timelines. For startups, this burns cash and time, making India an unattractive first market. Founders cite a lack of access to key decision-makers and frequent ghosting even after initial enthusiasm.
- Risk Aversion and Status Quo Bias: Indian enterprises show a strong bias for buying from established IT services firms and legacy players. Startups, especially in bleeding-edge spaces like GenAI or privacy-focused AI, struggle to convince risk-averse buyers to invest early. Even after strong demos and PoCs, buyers often default to safer, known vendors.
- Lack of Strategic Capital from Enterprises: In more mature markets, enterprise clients act like strategic partners. They might be early customers, design partners, or even angel investors. In India, such deep collaborations are rare. The market views startups as vendors rather than collaborators.
Voices from the Ground
Paras Chopra, founder of Wingify and Lossfunk, publicly stated he banned his team from engaging with Indian clients. He shared that Indian clients often waste time, don’t pay, and expect the impossible for free.
Vaibhav Domkundwar, founder of Better Capital, called out Indian firms for treating startups like free consulting shops. He stated on record that the culture of unpaid PoCs is actively killing the domestic AI ecosystem.
These are not isolated rants, they reflect a growing sentiment among founders who feel that the Indian enterprise ecosystem lacks the culture to nurture early innovation.

Global Market vs Indian Market: A Stark Contrast

Startups that shift focus to the US, the Middle East, or Southeast Asia find:
- Faster sales closures
- Better respect for IP
- Paid PoC culture
- Constructive feedback loops
- Strategic customer partnerships
In contrast, India’s digital economy, though massive, is often inaccessible to early-stage tech innovators unless they have backing from powerful networks or legacy credibility.

The Consequences of Skipping India
- Loss of Localized Innovation: When startups ignore the Indian market, solutions aren't tailored for Indian consumers or enterprises. This slows down digital transformation domestically and makes India dependent on imported AI solutions.
- Brain Drain 2.0: Many founders either relocate abroad or build with foreign markets as the only target. This time, the drain isn’t just talent, but IP, revenues, and eventual value creation.
- Missed Opportunity for Enterprises: Indian businesses risk missing the AI wave entirely. By not engaging startups early, they lose competitive advantages and risk becoming digital laggards.
- Broken Ecosystem Flywheel: Successful local exits create capital, mentors, and second-time founders. Without early traction in India, these cycles break. The startup ecosystem remains dependent on foreign buyers and venture capital.
Underlying Cultural and Systemic Issues
- Transactional Mindset: Many Indian buyers approach B2B SaaS or AI products with a cost-first mindset, not a value-first one.
- Innovation Theater: There's often more talk about innovation (via hackathons, challenges, showcases) than actual paid deployments.
- Lack of Internal Champions: Unlike Silicon Valley, where PMs or engineering leads can drive adoption, Indian orgs lack such evangelists who can push for startup solutions internally.
- Preference for Build Over Buy: Large IT departments often try to replicate startup solutions in-house, even if inefficient.
What Needs to Change: The Way Forward

- Enterprises Must Pay for PoCs: If Indian corporates are serious about innovation, they must allocate budgets for experimentation and pay startups for their work. Even small pilot contracts send a strong signal of intent.
- Create Innovation Sandboxes: Firms can create innovation arms or test environments where startups can plug in and demonstrate value without being blocked by compliance or bureaucracy.
- CIOs and CTOs Need Mandates for External Innovation: Leadership must incentivize teams to work with startups and not just with established vendors. KPIs should track how many startups get onboarded annually.
- Strategic Capital and Customer Equity: Enterprises could take equity positions in promising B2B startups they pilot with, aligning incentives and signaling seriousness.
- Government and DPI Institutions Can Lead: Public institutions like NPCI, ONDC, and MeitY can set the tone by funding, piloting, and scaling solutions from Indian startups.
Conclusion: Skip India Is Not a Trend, It’s a Symptom
The "Skip India" movement isn’t just a startup complaint. It’s a mirror to India’s enterprise culture and innovation readiness. If the world's fastest-growing tech talent base continues to look outside for validation and value, India risks being a factory for the world, but not a market. To change that, Indian enterprises must stop treating startups as vendors and start viewing them as partners in transformation.
India’s future as a global innovation leader depends not just on how well it builds, but how willingly it buys from its own.
FAQs
What is the "Skip India" movement?
It refers to a growing trend where Indian AI and deep-tech startups avoid Indian enterprise clients and focus on global markets due to systemic challenges in the domestic ecosystem.
Why are Indian startups skipping the local market?
They face issues like unpaid Proofs of Concept (PoCs), long sales cycles, risk-averse clients, and a lack of strategic partnerships from Indian enterprises.
What are the consequences of skipping India?
It leads to brain drain, loss of localized innovation, and missed opportunities for Indian enterprises to leverage homegrown AI solutions.
How do global markets differ for these startups?
Startups find faster deal closures, paid PoCs, strategic collaborations, and greater respect for IP in markets like the US, the Middle East, and Southeast Asia.
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