Over 70% of Indian public servants experiment with AI secretly; new report reveals trends

Google posted on Wednesday that new data shows 74% of public servants globally are already using AI, but only 18% believe their governments are using it effectively. This startling global gap serves as the backdrop for a specialized report, titled the "Public Sector AI Adoption: India Factsheet," which highlights India as one of the world’s most dynamic adopters of the technology. The report, produced by Public First for the Center for Data Innovation and sponsored by Google, draws on a survey of 3,335 public sector workers across ten countries, including a specific sample of 289 public sector workers in India. This Indian cohort comprises 172 workers from national government entities, 107 from local or regional government, and 10 from other public sector bodies.

A Grassroots Revolution in the Indian Public Sector

India’s ascent as a leader in public sector AI is not merely a matter of chance. It is driven by massive scale, significant momentum, and a robust digital public infrastructure. Google's report said that national initiatives such as Digital India, Aadhaar, and India Stack have created a vital foundation of interoperable platforms and data systems. These systems allow for rapid experimentation across government departments. Unlike many other nations, Indian AI adoption has been characterised less by central mandates and more by a surge of bottom-up enthusiasm. Public servants are actively experimenting with AI to save time, improve the quality of their work, and develop new skills.

The ambition of the Indian government is clear. It has signalled its intent through strategies focused on “AI for All,” alongside increasing investments in digital skills and applied AI use cases. However, the governance landscape remains fragmented. Google's report said "currently there is no single central Act or unified “AI Usage Law” that sets a consistent approach across government employees in India. Instead, the usage of AI is governed by a mix of strict department-specific advice (including some bans on AI use), state-level ethical frameworks, and judicial policies." This lack of a unified law makes system-wide adoption difficult, yet it has not dampened the spirit of individual experimentation.

The Paradox of "Shadow AI" and Unofficial Usage

The research reveals a significant gap between individual momentum and institutional support. While Indian public servants report some of the highest levels of confidence and hands-on experimentation in the global index, much of this activity occurs in the shadows. It said that over 70% of Indian public servants report having used AI without their manager knowing at least once. Furthermore, a similar percentage admit to logging in with personal accounts to access tools that their employers do not provide. This "shadow AI" use highlights a major opportunity for the government to legitimise these efforts.

Confidence remains high despite these hurdles. Nearly half of the surveyed public servants say they feel very confident using AI, with many reporting clear, tangible benefits from everyday use. Access to tools is relatively strong, with 63% stating their organisation has invested in AI tools, placing India among the stronger performers in the index for "enablement." However, this access is uneven. Around one in five public servants still disagree that their workplace provides the necessary resources, training, or guidance to use AI effectively. The report said that the next phase of India’s journey must involve consolidating this grassroots energy into a consistent, system-wide impact.

Measured Optimism: Productivity and the Peer-to-Peer Culture

Indian public servants are viewed as some of the most optimistic globally regarding AI technology. While only 46% of workers in Germany and 33% in France feel optimistic about AI in the public sector, a staggering 83% of Indian public servants view the technology with optimism. This positive outlook is backed by results. Google's report said that hands-on use often results in tangible benefits, including 91% of users reporting time savings and 81% seeing helpful outcomes. This enthusiasm is a key differentiator for India in the global index.

This optimism is supported by a powerful culture of proactive peer learning. Most Indian public servants (84%) discuss AI use with their colleagues, while 74% learn new approaches directly from their peers. Use cases often spread informally across teams, with 72% of respondents noting this trend. While 67% report receiving some form of workplace training—whether formal or informal—84% of those who were trained say it has significantly boosted team productivity. The report said that India excels in its education score because growing use has been matched by growing confidence and strong knowledge of the technology.

Navigating the Policy Vacuum and Institutional Barriers

Despite the high levels of enthusiasm and confidence, formal policies are lagging. Only 29% of Indian public servants reported that their organisation had a formal AI policy in place. There is, however, cause for hope; 32% reported that their organisations are actively developing such policies. The report said that this could lead to more consistent permission to use AI in the near future. Currently, institutional enablement is less consistent than individual drive. AI tools developed in-house or adapted specifically for the workplace are less common in India than in other high-performing countries.

The motivations for using AI in India are deeply personal and professional. The strongest drivers identified include improving the quality of work (63%), developing career-relevant skills (54%), and simple curiosity (40%). Public servants are not waiting for a mandate; they are moving forward because they see the value. However, it said that around 30% of public servants still believe AI is not being used effectively across India’s public sector. To bridge this gap, India must address the lack of consistent tools and support at scale across its vast and complex public sector.

A Strategic Roadmap for System-Wide Transformation

To convert this grassroots momentum into durable public sector transformation, Google's report said that three priorities stand out for India. First, there is a need to bring informal and "shadow" AI use into the open. This requires clear signals from leadership and simple, practical AI use policies that legitimise everyday tasks. Second, the report said India should formalise learning. By embedding short, role-specific training into onboarding and progression, the government can turn individual confidence into a shared institutional capability. This would amplify the effective use cases that are already spreading informally.

The final priority is to channel momentum into scalable, system-wide deployment. Without structures to scale, the impact of AI remains fragmented. The report said that India needs governed sandboxes, shared platforms, and clear routes to scale successful use cases. Consolidating tools and governance will be critical to ensuring that India’s AI adoption delivers reliable, secure, and transformative outcomes. It said that providing a "safe harbour" for low-risk tasks such as drafting, analysis, and summarisation would reduce the current reliance on workarounds and allow learning to happen transparently and responsibly.

Scaling Innovation from Local to National Capability

The research points to five actions that consistently support stronger AI adoption globally: clear permission from leadership, training embedded into work, safe harbour policies, access to secure tools, and pathways to scale experimentation. For India, the foundation is already strong. While more than one in three public servants began using AI two to three years ago, 55% of uptake has occurred within just the last year. Furthermore, 84% reported an increase in workplace AI use over that same period.

India’s opportunity lies in its ability to consolidate this energy. By creating the necessary permissions and structures, the nation can move from widespread experimentation to a reliable system-wide impact. Google's report said that ensuring consistent access to trusted tools and scalable governance will be critical. As the world watches the global gap between AI usage and effectiveness, India’s bottom-up approach provides a unique template for how a highly engaged workforce can drive technological change even before formal legislation catches up. The challenge now is to ensure that this vast public sector can move forward as one, turning local innovation into national capability.