HubSpot has unveiled new research showing that AI is rapidly reshaping day-to-day operations across Indian organisations as they pursue growth. Nearly four in five (79%) businesses now apply AI consistently across their workflows rather than limiting it to isolated experiments – signalling that AI adoption is moving beyond pilots and into core operations.
Despite high adoption rates, the research found that scaling AI reliably remains constrained by foundational gaps such as legacy systems, access to quality data, skills and change management, as well as trust and governance readiness. Findings also suggest that the real competitive differentiator is whether organisations have the right context – integrated data, connected systems, and the governance needed to turn AI output into consistent business outcomes.
Half cited trust and reliability (50%) and technology limitations or legacy systems (49%) as the top factors limiting further use of AI in their organisations. Skills and change management (46%) also remain a barrier – suggesting that the talent required to lead AI-driven teams is still maturing – alongside governance concerns (37%).
Data quality and integration (44%) also emerged as one of the biggest challenges faced by local businesses, even as 63% recognise that providing AI with access to relevant business context and data is one of the most essential requirements for ensuring AI agents can be effective and reliable.
The research reveals that these hurdles become even more pronounced as organisations move toward higher-maturity AI use. Among businesses already deploying fully autonomous AI agents, reported constraints increase significantly across key categories compared to the national average. This includes trust and reliability concerns (57% from 50%), technology limitations and legacy systems (60% from 49%), skills challenges (55% from 46%), data integration issues (51% from 44%), and governance hurdles (43% from 37%), suggesting that operational friction tends to intensify as AI maturity deepens.
While foundational barriers remain a reality, the drive for competitiveness is already propelling Indian enterprises toward more advanced AI use cases, most notably a shift toward agentic AI.
The research confirms that more than 73% Indian organisations are already deploying hybrid teams where humans and AI work together to accelerate business outcomes. In addition, two in five (40%) are currently utilising fully autonomous AI agents capable of making decisions and executing tasks across multiple systems without the need for human approval.
Nearly 57% of business leaders identify improving speed of delivery and time-to-market as the single most important outcome they expect from AI agents over the next 12 months. Furthermore, 52% of leaders are looking to AI agents to improve overall team capacity and output, while 51% aim to strategically free up their workforce to focus on higher-value work that can benefit from the human touch to drive long-term brand differentiation.
More than a third (34%) of business leaders also report that AI has fundamentally changed how their teams operate, suggesting that structural transformation to meet the needs of the AI era is well underway. By bridging human empathy and machine precision with hybrid teams, enterprises are building a foundation for agentic AI to autonomously make decisions that prioritise customer connection for sustained growth.
The urgency to effectively adopt and deploy advanced AI at scale is driven by intense market competition. 31% of Indian organisations cited falling behind their competitors who adopted AI faster as their biggest concern regarding long-term growth. Even mid-sized firms are showing aggressive adoption rates of 73%, suggesting that AI is effectively leveling the playing field for India’s growing enterprises.
“The real competitive differentiator isn’t whether a business is using AI, but whether the AI has access to shared context,” said Adarsh Noronha, Country Director, India & SAARC, HubSpot. “Without this data-rich foundation, AI outputs like email, research, or content summaries don’t reliably translate into better business outcomes.”
Noronha further explained, “Meaningful, large-scale impact requires AI to be powered by customer data, an understanding of how teams and processes operate, and the ability to learn over time. By bringing these elements together, businesses can transform AI from standalone tools into reliable teammates that collaborate with humans to deliver sustained, AI-augmented growth.”
He also added, “In 2026, the businesses that thrive will be those that see AI not as a replacement for people, but as a way to augment human ingenuity. “When teams combine human empathy with AI that has the right context, businesses can move faster, work smarter, and deliver better customer experiences at scale. This isn’t just about working better, but about setting a new global standard for how businesses can succeed in the AI era with hybrid teams and unified context.”
