As artificial intelligence moves from buzzword to governance, industry and public-service infrastructure, states like Telangana are trying to build real institutional capacity around it.
At the centre of that effort is the Telangana Artificial Intelligence Innovation Hub (TAIH), which is working at the intersection of policy, innovation, startup enablement and ecosystem building. In this conversation, Phani Nagarjuna, CEO, Telangana Artificial Intelligence Innovation Hub, speaks about Telangana’s AI ambitions, the state’s approach to responsible innovation, the role of public-private collaboration, and what it will take for India to build meaningful AI leadership.
Telangana has been among the more proactive states in embracing emerging technologies. Where does AI fit into the state’s larger innovation vision today?
AI is no longer a frontier conversation alone; it is becoming central to how governments think about public service delivery, industry competitiveness and future readiness. In Telangana’s case, the effort is to look at AI not just as a technology layer, but as an ecosystem opportunity that can drive innovation, improve governance outcomes and create new economic value.
What was the core thinking behind the creation of the Telangana Artificial Intelligence Innovation Hub?
TAIH was envisioned as a platform that could bring together government, startups, academia, enterprises and research communities into one coordinated framework. The idea was to create an institution that could accelerate applied AI innovation while also addressing issues such as adoption, ethics, policy alignment and capacity building.
What are the biggest priorities for TAIH at this stage?
At this point, the focus is on enabling meaningful AI adoption, strengthening the ecosystem, supporting innovators, and identifying use cases that can create measurable value. There is also a strong emphasis on building trust around AI, because scale will only come when institutions and citizens see clear value and responsible deployment.
When you look at AI adoption in India today, where do you see the biggest gap: technology, talent, policy or execution?
The gap is often less about awareness and more about execution readiness. Many stakeholders understand AI’s potential, but successful deployment requires quality data, institutional preparedness, talent, use-case clarity and sustained collaboration. The challenge is to move from experimentation to systems that are scalable and accountable.
How is Telangana trying to differentiate itself in the AI space from other states and innovation clusters?
The differentiator lies in the state’s willingness to think ecosystem-first. Telangana has consistently positioned itself as an innovation-friendly state, and with AI the attempt is to combine policy support, startup energy, institutional participation and practical use cases. That alignment is what can create a durable advantage.
What sectors do you believe are most ready for AI-led transformation in Telangana?
A number of sectors show strong potential, particularly those where there is both data intensity and a clear public or business outcome. Areas such as healthcare, agriculture, education, urban systems, mobility and governance are especially significant because AI can improve both efficiency and decision-making at scale.
Public-sector AI is often discussed with great optimism, but implementation can be uneven. What does successful government adoption of AI actually require?
Successful public-sector adoption requires clarity of purpose. Technology cannot be deployed just because it is available. There must be a clear problem statement, reliable data architecture, strong implementation partnerships, governance mechanisms and a commitment to measuring outcomes. Without that, AI risks becoming a pilot-driven conversation rather than a transformational one.
How important is responsible AI in the work that TAIH is doing?
Responsible AI is foundational. As adoption grows, concerns around bias, privacy, explainability and accountability become more important, not less. Institutions like TAIH have to play a role in ensuring that innovation and responsibility move together, because trust will determine the long-term success of AI systems.
Startups are a major part of India’s technology story. How is TAIH supporting startups working in AI?
Startups are critical because they bring speed, experimentation and domain-specific innovation. The role of a hub like TAIH is to create pathways for them, through ecosystem access, partnerships, visibility, pilot opportunities and institutional engagement, so that promising solutions do not remain confined to the early-stage innovation cycle.
What role do academia and research institutions play in Telangana’s AI ambitions?
They are indispensable. A strong AI ecosystem cannot be built on application alone; it also requires research depth, talent development and interdisciplinary collaboration. Academia brings long-term capability and intellectual capital, which helps ensure that the ecosystem is not only commercially active but also knowledge-driven.
Talent remains one of the defining questions in AI. Do you think India is producing enough AI-ready talent?
India has a significant talent advantage, but the conversation now is about depth and relevance. The future will require not only engineers and data scientists, but also domain specialists, policymakers, ethicists and operators who understand how AI can be deployed in real-world contexts. Talent development must therefore become broader and more applied.
How do you see the relationship between government and industry evolving in the AI era?
It has to become more collaborative and less transactional. AI is too consequential for any one stakeholder to solve in isolation. Governments can provide enabling frameworks, industry can bring scale and execution capability, startups can drive innovation, and academia can contribute research and talent. The strength of the ecosystem will depend on how effectively these actors work together.
There is also a lot of noise around AI globally. How do you separate genuine innovation from hype?
That distinction comes down to outcomes. Real innovation solves meaningful problems, improves productivity, expands access, or creates measurable impact. Hype often stays at the level of narrative. Institutions need to remain disciplined and ask hard questions around utility, scalability, trust and long-term viability.
What should India’s broader AI ambition look like over the next five years?
India’s ambition should be to become not just a large consumer of AI, but a meaningful builder of AI capability. That means investing in talent, compute, research, policy frameworks, startup ecosystems and sectoral deployments. The opportunity is significant, but it requires coordinated intent and execution.
Finally, what is your larger vision for TAIH and for Telangana’s place in the AI map of India?
The vision is to help build an ecosystem where AI innovation is both ambitious and grounded, one that creates economic value, addresses public challenges and sets standards for responsible deployment. Telangana has the ingredients to play a leadership role, and the task now is to translate potential into sustained impact. |
