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The AI Paradox: How Favcy Venture Builders Navigate And Focus Dilemma in India's AI Boom

  • Writer: Dhwanika Aggarwal
    Dhwanika Aggarwal
  • Aug 4
  • 4 min read

As artificial intelligence reshapes India's startup ecosystem, a stark reality emerges from the insights of Pranav Chaturvedi, Managing Director at Favcy Venture Builders:


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"The next 5 years we will have more failures because of AI than successes."

This prediction comes at a time when India's GenAI startup ecosystem is experiencing rapid growth, with significant investments and a surge in new startups, yet faces unprecedented challenges that demand immediate attention.


The Infrastructure Reality Check


The AI boom is colliding head-first with a global power shortage that's particularly challenging for emerging markets like India. Goldman Sachs Research forecasts global power demand from data centres will increase 50% by 2027 and by as much as 165% by the end of the decade. This surge is driven by hyperscalers' capital expenditure, which is trending at roughly $200 billion as of 2024, and is estimated to exceed $220 billion by 2025.


For Indian startups in the Favcy Venture Builders ecosystem, this presents both challenges and opportunities. While VC and growth funding in software and SaaS, including generative AI, rose approximately 1.2x to $1.7 billion from 2023 to 2024, the underlying infrastructure constraints mean that success requires more than just funding—it demands strategic focus and efficient resource utilisation.


The Focus Crisis in AI Development


AI's magical ability to amplify capabilities creates a dangerous illusion that entrepreneurs can pursue everything simultaneously. This phenomenon, observed across Favcy Venture Builders' portfolio companies, reveals a fundamental human dilemma: we're naturally inclined toward expansion, and AI multiplies our choices exponentially. However, more options don't necessarily translate to better outcomes.


The focus crisis manifests when startups attempt to leverage AI across multiple verticals simultaneously, spreading resources thin instead of achieving meaningful depth in specific areas. Without deliberate choices, companies lose sight of what's truly meaningful, effectively moving a millimetre in a million directions instead of a mile in one focused direction.


India's AI Investment Landscape


Despite these challenges, India is home to more than 100 GenAI startups and these startups have raised more than $1.5 billion since 2020. Investors are bullish on domestic AI startups, focusing on enterprise applications, agentic AI, and AI-driven services rather than foundational models, as startups rapidly scale revenue and secure Series A funding.

This trend aligns with Favcy Venture Builders' approach of building focused, revenue-generating ventures rather than pursuing broad AI applications without clear market validation. Indian AI startups are establishing the agenda by 2025, not replacing global leaders in their path, positioning themselves as specialised solution providers rather than attempting to compete directly with established giants.


The Power Consumption Reality


The infrastructure challenge is more severe than many realise. Global data centres can consume a combined 508 terawatt hours of electricity per year if they were to run constantly, greater than the total annual electricity production for Italy or Australia. Large hyperscale data centres have power demands of 100 MW or more, with annual electricity consumption equivalent to around 350,000 to 400,000 electric cars.


For Favcy Venture Builders' portfolio companies, this reality necessitates building AI solutions that are not just innovative but also energy-efficient and cost-effective. The companies that will succeed are those that can deliver maximum impact with minimal computational overhead.


Strategic Solutions for Sustainable AI Growth


Favcy Venture Builders has developed a framework for navigating these challenges:


  • Self-Management and Deliberate Focus: Rather than pursuing every AI opportunity, portfolio companies are encouraged to identify specific use cases where AI provides clear competitive advantages and measurable ROI.


  • Quality Over Quantity: The emphasis shifts from building comprehensive AI platforms to creating focused solutions that solve specific problems exceptionally well. This approach reduces both development costs and computational requirements.


  • Resource Optimisation: Companies are guided to leverage existing AI infrastructure and APIs rather than building from scratch, reducing both capital requirements and energy consumption.


  • Market-First Approach: Instead of technology-first development, startups focus on market needs and apply AI selectively to address specific pain points.


The Path Forward


2025 is poised to witness a more robust capital environment, better-quality entrepreneurs, and an AI-driven market driving new efficiencies. However, success will belong to those who embrace the paradox: using AI's power to enhance focus rather than expand scope.


As India's tech ecosystem matures, the momentum surrounding AI and related technologies is expected to continue its upward trajectory, but with greater emphasis on sustainable, focused applications.


The companies in Favcy Venture Builders' ecosystem that will thrive are those that recognise a fundamental truth: in an age of infinite possibilities, the greatest competitive advantage lies not in doing everything AI enables, but in choosing wisely what deserves focused attention. Self-management becomes crucial, deliberate focus beats AI-enabled distraction, and the quality of direction trumps the quantity of efforts.


As we navigate this unprecedented change in human conditioning, the question isn't whether AI will transform business—it already has. The question is whether we're building with focus or falling into the distraction trap that unlimited possibilities create. For Favcy Venture Builders and their portfolio companies, the answer lies in disciplined innovation that harnesses AI's power while maintaining unwavering focus on meaningful outcomes.


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