India leads the shift into advanced AI adoption.

Indians are innovators in technology adoption.

Based on the report*, Indian creatives/IT professionals were significantly more likely to identify as ‘Innovators’ (63%), while respondents in Australia and South Korea skewed more toward less adventurous ‘Early Adopters’ (42% and 43%, respectively).

This distinction matters. Because Innovators tend to test tools earlier, experiment more broadly, and contribute to shaping how technologies are applied in practice, it means markets with stronger Innovator representation often move through early experimentation phases more quickly.

This is not to say that technology adoption is a competition. However, that early momentum can translate into faster capability building, stronger familiarity with tools, and smoother progression toward deeper integration in day-to-day workflow use. It builds the foundation of how the future of AI in these markets.

Indian AI workforce displays broader tool experimentation.

Indian respondents reported using an average of 4.4 AI tools in the past 12 months.*

Australian respondents reported 2.4 tools.*

South Korean respondents reported 2.2 tools.*

What does this mean? This indicates broader experimentation across multiple tools and workflows within India’s AI workforce, with nearly double the average of platforms used compared to its global peers. Among the top five most used AI platforms are ChatGPT, Google Gemini, Meta AI, Microsoft Copilot, and Perplexity AI.

This variety suggests more than curiosity. It points to task-specific tool switching rather than reliance on a single ecosystem, an indicator that users are developing a practical understanding of different platform strengths, limitations, and optimal use cases.

Using a wider range of tools enables professionals to compare outputs, refine processes, and accelerate skill development. Experimentation across platforms also encourages workflow optimisation, as users learn which tools best support ideation, drafting, research, automation, or decision-support tasks.

This behaviour aligns with broader global workplace trends. A January 2025 report by McKinsey & Company found that the majority of employees describe themselves as AI optimists, while simultaneously expressing a desire for more structured support and training in generative AI. At the same time, business leaders are increasing AI investments to meet growing demand and accelerate adoption.

Against this backdrop, India’s higher average tool usage suggests a workforce that is not waiting passively for formal enablement. Instead, professionals appear to be actively exploring available platforms, building familiarity through hands-on use, and keeping pace with rapid technological change.

Indians show high trust and confidence in AI technologies.

Trust is a defining threshold in technology adoption. Without it, AI often remains a trial tool: tested occasionally but not embedded into core workflows. With it, experimentation can evolve into sustained, higher-value use.

The study shows that 79% of Indian respondents trust AI tools to deliver accurate and reliable results, compared with 52% in Australia and 48% in South Korea. Beyond accuracy, Indian respondents also reported higher levels of trust that AI platforms are unbiased and fair in their outputs, keep user data secure, and handle information responsibly and ethically.

This broader trust profile says a lot about how Indians apply AI for deeper professional adoption. It implies that the Indian population is not only comfortable experimenting but is also confident applying AI to higher-stakes work.

Beyond general trust, Indian creatives also express a strong belief in AI's practical value:

• 94% agree that AI saves them time and provides a high level of convenience, reinforcing its role as a productivity tool.
• 92% agree that AI can improve their decision-making through personalised recommendations, suggesting that AI is being viewed not just as a content generator, but as a decision-support system.
• 89% say they are willing to use AI systems in their own decision-making because they see them as reliable and accurate.

These findings show that Indian professionals are not simply optimistic about AI in theory; they are confident in incorporating it into real-world workflows and judgment-based tasks.

When trust and confidence go hand in hand, it creates conditions for more extensive integration. In other words, India's AI-active workforce is progressing beyond simple experimentation, demonstrating both the willingness and the ability to embed AI into strategic, creative, and decision-intensive workflows.

Indians invest in active skill-building and AI literacy.

The strong trust Indian professionals place in AI tools lays the foundation for more than just comfort. It enables deliberate skill development and practical mastery. Moreover, it encourages active learning behaviours, where professionals don't just rely on AI outputs but intentionally refine their ability to generate, interpret, and integrate results into their workflows.

Data from the study show that among all Indian respondents:

• 94% actively try to improve their skills in using AI tools.
• 91% know how to write effective prompts to get the results they want.
• 91% often look for help or examples online to improve their prompts.

These behaviours highlight a workforce that is deliberately cultivating AI expertise, rather than relying on casual use. Proactively refining prompts, seeking feedback, and building AI literacy are all indicators of later-stage adoption, where professionals are developing the skills needed for reliable, high-value application of AI in their work.

A distinct AI adoption pattern across markets.

Looking across the findings holistically, a clear pattern emerges. While AI engagement is strong in India, Australia, and South Korea, the way professionals relate to generative AI differs in tone and trajectory.

In India, experimentation, trust, and confidence reinforce one another. Creatives are actively trying AI tools, expanding use cases, expressing comfort with outputs, and signalling belief in their ability to grow alongside the technology. That combination tends to accelerate the shift from exploratory use to completely AI-powered workflows.

In contrast, respondents in Australia and South Korea show active engagement but with comparatively more caution in areas such as trust and experimentation depth. This does not automatically mean resistance. Rather, it reflects a more measured progression through adoption stages, where validation and proof may play a larger role before integration deepens.

What this means for India’s creative and professional workforce.

The study for Adobe highlights that India's AI-active creative population exhibits a distinctive pattern of adoption that signals momentum toward deeper integration.

While the data does not imply that AI maturity is uniform across the broader population, it does show that the convergence of multiple adoption signals is noteworthy. High trust in AI, active skill-building, confidence in discerning AI-generated content, and practical reliance on AI for productivity and decision-making collectively suggest a workforce that is ready and optimistic about outcome-driven AI use.

These insights also point to broader implications for the market. As AI becomes increasingly central to creative work, content production, and decision-making, India's AI-active workforce is well-positioned to drive innovation, streamline workflows, and explore new applications that extend beyond conventional use cases.

In short, while AI adoption is still evolving, India's AI-active creatives are demonstrating a rare combination of curiosity, confidence, and capability. This suggests that the country is not only keeping pace with global markets but may be progressing more rapidly compared to its peers in Australia and South Korea.