Over the past two years, the discussion surrounding AI applications has shifted from simple chatbots to advanced models that are quicker, more dependable, and increasingly implemented in real-world scenarios. Beneath this visible transformation lies a subtler competition that is redefining revenue streams.
A report by SenseAI titled “State of AI” reveals that global investment in AI is projected to hit $800 billion by 2025, with venture capital contributing $226 billion. However, most of this investment is shifting away from merely creating superior models and is focusing more on actual applications where AI is operational, commercialised, and monetised.
India’s Structural Advantage in AI Applications
As AI adoption expands, the industry has entered what can be termed the “Application Phase” of AI. This transition in India is defined by three main pillars:
– Vertical AI, which encompasses models specifically tailored for healthcare, legal, or financial sectors.
– Wrapper evolution, where firms develop “compound AI systems” that integrate multiple AI models.
– Cost efficiency, where India leverages existing models to scale sustainably.
Furthermore, India is making remarkable strides in sectors like enterprise/SaaS, consumer technology, and AI for regional languages. Global Capability Centres (GCCs) are transitioning from merely being support centres to innovation hotspots.
India’s Transformation from Back Office to AI Engine
The report indicates that over 1,200 AI startups in India, accounting for 75.4% of all such ventures in the country, are focusing on the application layer. It also highlights that over 80% of all AI funding in India concentrates on applications and tool development.
Moreover, about 60% of these startups are generating revenue at an early stage. The report asserts that India is establishing a strongly application-oriented ecosystem, characterised by rapid growth and significantly lower capital outlay than the US and China.
It notes that this ecosystem mirrors the original SaaS model but is based on AI principles. The combination of revenue-first mindset, global aspirations, cost advantages, domain knowledge, and superb engineering talent positions India as a potential leader in AI applications.
While India is still in the nascent stage of competing against global tech giants and entering the so-called “model wars,” it possesses a considerable developer base and substantial industry expertise, enabling the creation of AI tools that effectively address real-world challenges and propel the AI economy forward.