Figma’s latest India Developer Outlook report presents a sharp but nuanced picture of how AI is reshaping software development in India. Based on a survey of 518 developers, the report finds that AI adoption is already widespread and delivering measurable productivity gains, but organisations are struggling to convert that individual efficiency into faster product delivery and consistent execution at scale.
The headline figure is striking: 83% of Indian developers say they are already using AI in some form, a level that places India ahead of many global benchmarks. Figma’s findings show that developers are not using AI as a novelty tool, but as a practical part of everyday workflows, with 61% saying it saves time on routine coding tasks, 59% reporting better code quality and 56% saying it frees them up for higher-value work.
AI Is Already Embedded in Development Work
What makes the report significant is not simply the pace of AI adoption, but the depth of confidence developers have in its future impact. Figma says 73% of respondents expect AI to have a significant effect on individual workflows and productivity over the next 12 months, while 72% expect it to influence tools, 69% say it will reshape product capabilities and 65% believe it will improve collaboration.
That optimism, however, is running ahead of organisational readiness. Figma notes that 63% of developers say time to market has actually increased, suggesting that while AI may be improving personal productivity, teams are still weighed down by handoffs, fragmented workflows and the lack of shared systems that allow those gains to scale across the organisation.
Developers Are Becoming Co-Owners
The report also points to a changing role for developers inside product organisations. Figma found that 96% of developers are now involved in product and business decisions, with 62% describing themselves as very involved. That shift marks a movement away from developers being seen solely as implementation specialists and toward a model where they are expected to co-own outcomes alongside product, design and business teams.
This broader role is reflected in the skills developers say will matter most over the next three to five years. Nearly half of respondents, 49%, identified keeping up with emerging technology and strengthening communication and collaboration skills as critical to their future relevance. The message is clear: AI may be changing the tools developers use, but it is also raising expectations around how they work with the rest of the organisation.
Design Systems Are Emerging as a Key Enabler
Figma’s report argues that structural foundations remain a major determinant of whether AI-led productivity can translate into business value. While 78% of developers say their organisation already has a design system in place, the report suggests that these systems are becoming more important, not less, as teams look to preserve context and reduce friction between design and development.
That point is echoed by industry leaders cited in the report. Kamlesh Chandnani, Director, Frontend Engineering at Razorpay, said Blade helps teams “speak the same language,” while Ajith Sowndararajan, Director of Design at Flipkart, said a design system built with Figma helped cut implementation time for Flipkart Minutes from an estimated 4.5 months to just 45 days. Those examples reinforce the central finding of the report: AI can accelerate work, but systems and process discipline determine whether that speed becomes a competitive advantage.
Confidence Is High, But Execution Still Matters
The report closes on a note of confidence. Figma says 92% of developers believe their skills will remain relevant over the next three to five years. But the real differentiator, the company argues, will be whether organisations create environments where context is easy to find, design-to-development handoffs are efficient and AI reduces mental effort rather than adding complexity.
In other words, the challenge for India’s developer ecosystem is no longer whether to adopt AI. It is how to make AI work across teams, products and workflows in a way that actually shortens delivery cycles and improves business outcomes.
