The advent of artificial intelligence (AI), particularly generative AI, marks a seismic shift in how businesses operate,

not just globally but also in the Indian market. This transformative technology has catalyzed a re-evaluation of

traditional business models, pushing companies to adapt or risk obsolescence. The case of Dhruv Amin and Marcus Lowe,

co-founders of Anything, illustrates a broader trend that extends beyond their startup, signaling a potential evolution

in the Indian entrepreneurial landscape. As the Indian market grapples with these changes, the implications for

sentiment, liquidity, and volatility are profound.

Amin and Lowe's experience showcases the dual nature of AI's impact. Initially, their startup, Create, thrived by

connecting clients to software developers, a model that had proven profitable from day one. However, with the

introduction of ChatGPT and similar AI tools, they realized that their business model was under threat, as generative AI

began to automate substantial aspects of software development. This prompted a radical pivot—effectively a reset of

their business strategy—leading to the establishment of Anything, a startup now valued at $100 million. This transition

underscores how AI is not merely a technological innovation but a disruptive force that compels businesses to rethink

their operational frameworks.

For Indian entrepreneurs and investors, the implications of such pivots are substantial. The Indian market,

characterized by a vibrant startup ecosystem and a growing appetite for technology-driven solutions, stands at a

crossroads. As startups increasingly integrate AI into their business models, they are likely to experience heightened

growth potential. This is particularly important in a country where the technology sector is a key driver of economic

growth. The availability of AI tools can reduce the barriers to entry for new businesses, enabling non-technical

founders to launch applications and services that were previously out of reach.

The shift towards AI-driven business models is also likely to influence market sentiment significantly. Investors are

typically drawn to innovation, and the narrative surrounding AI as a catalyst for efficiency and creativity can enhance

investor confidence. When companies like Anything rapidly pivot to leverage generative AI, it sends a strong signal to

the market that adaptability is not only possible but essential. This could lead to increased liquidity as investors

allocate capital to tech-centric startups, anticipating that they will thrive in an AI-enhanced landscape. Moreover, as

more companies adopt AI, the overall market sentiment may become increasingly bullish, fostering a culture of innovation

and risk-taking.

However, the transition to AI-driven operations is not without its complexities. The volatility associated with rapid

technological changes can create uncertainty in the market. The case of Anything highlights the risks inherent in such

pivots—Amin and Lowe faced the daunting task of dismantling their existing operational framework while simultaneously

building a new one. This kind of upheaval can lead to short-term volatility as companies adjust to new realities. For

investors, this underscores the importance of assessing the adaptability of businesses in the face of technological

advances, rather than simply evaluating their current performance.

The Indian market, with its unique economic structure and demographic dynamics, is particularly well-positioned to

harness the benefits of AI. The Reserve Bank of India (RBI) has been proactive in exploring digital innovations, paving

the way for a more tech-savvy financial ecosystem. As businesses integrate AI, they may also find synergies with RBI

policies aimed at fostering innovation and stability in the banking sector. This alignment can further enhance market

confidence, creating a conducive environment for growth.

Moreover, the evolving landscape of AI in India is likely to impact labor dynamics. As companies increasingly rely on

automation and AI, the demand for skilled labor will shift. While some jobs may be displaced, new opportunities will

arise in AI development, maintenance, and related fields. This transformation could lead to a more skilled workforce,

ultimately contributing to national productivity. However, it also necessitates a proactive approach from educational

institutions and policymakers to ensure that the workforce is equipped for these changes.

In conclusion, the ongoing evolution of AI and its integration into business models represent a significant turning

point for the Indian market. The experiences of startups like Anything illustrate both the opportunities and challenges

that lie ahead. As businesses adapt to these changes, investors must remain vigilant, recognizing that the landscape is

not static. The successful integration of AI could reshape the Indian economy, enhancing its competitiveness on the

global stage. The implications for market sentiment, liquidity, and volatility are profound, making it imperative for

stakeholders to engage with these developments thoughtfully. In this dynamic environment, understanding the

intersections of technology and business strategy will be crucial for navigating the future of the Indian market.