Artificial Intelligence and Agentic AI — Governing the Next Technological Revolution

Artificial Intelligence is moving from systems that merely assist human beings towards systems capable of undertaking increasingly complex sequences of tasks.

The emergence of Generative AI and Agentic AI has therefore transformed the AI debate.

The issue before policymakers is no longer simply whether Artificial Intelligence can improve productivity. It is whether societies can develop institutions capable of managing technologies whose capabilities are evolving faster than traditional regulatory frameworks.

India has a particularly important stake in this transition because of its large population, digital public infrastructure, technology industry and growing aspirations to become a major AI economy.

From Artificial Intelligence to Agentic AI

Traditional AI systems are generally designed to perform defined tasks such as classification, prediction or pattern recognition.

Generative AI expanded this capability by allowing machines to produce text, images, audio, video and code.

Agentic AI represents another shift.

An AI agent can potentially:

• understand an objective;
• break it into multiple tasks;
• access digital tools;
• process information;
• evaluate intermediate outcomes;
• modify its approach;
• complete a sequence of actions.

This creates enormous possibilities for productivity.

But it also creates a new governance challenge.

When an AI system merely provides information, human responsibility is relatively clear.

When an AI system independently performs multiple actions, the question of accountability becomes more complicated.

India's AI Impact Summit discussions earlier this year specifically highlighted data governance, defined operating boundaries, accountability, cybersecurity and public trust as important requirements for responsible deployment of agentic AI. Press Information Bureau

AI and governance

For a country like India, AI can significantly improve public administration.

Government departments handle enormous volumes of information.

AI can potentially assist with:

• welfare targeting;
• document processing;
• grievance analysis;
• tax administration;
• healthcare planning;
• agricultural advisory services;
• disaster forecasting;
• traffic management.

However, technological efficiency cannot substitute for administrative accountability.

A citizen affected by a government decision must be able to know:

Why was the decision taken?

What information was used?

Who is responsible?

How can the decision be challenged?

These questions are central to constitutional governance.

AI and employment

The employment debate surrounding AI is often reduced to a binary question: whether AI will destroy jobs.

The more important question is how AI will transform tasks.

Some repetitive tasks may become automated.

Other occupations may be augmented.

New occupations may emerge around:

• AI engineering;
• data management;
• cybersecurity;
• AI auditing;
• model evaluation;
• AI governance.

The challenge for India is therefore one of human-capital transition.

A country with a large young population can benefit from AI only if education and skilling systems adapt rapidly.

AI and inequality

Technology can democratise access to information, but it can also widen inequalities.

A student with high-speed internet, advanced devices and access to sophisticated AI tools may have a significant advantage over a student without these resources.

This makes AI a question of social justice as well as technological development.

India's AI strategy therefore needs to focus on:

• affordable digital access;
• regional-language AI;
• digital literacy;
• public-interest AI;
• educational access.

AI and Indian languages

India's linguistic diversity provides an important opportunity.

AI systems capable of understanding Indian languages can make government services, education and digital information accessible to larger sections of society.

For states such as Andhra Pradesh and Telangana, development of high-quality Telugu-language AI capabilities can have applications in governance, education, agriculture and citizen services.

AI and national security

AI is simultaneously an opportunity and a security challenge.

It can strengthen:

• intelligence analysis;
• cybersecurity;
• satellite imagery;
• border surveillance;
• defence logistics.

But the same technologies can also facilitate:

• deepfakes;
• automated cyberattacks;
• misinformation;
• sophisticated social manipulation;
• autonomous weapons.

The distinction between technological capability and technological governance therefore becomes critical.

AI requires computing infrastructure

Artificial Intelligence cannot be separated from the physical infrastructure that supports it.

Large-scale AI systems require:

• advanced processors;
• GPUs and AI accelerators;
• data centres;
• high-speed networks;
• electricity;
• cooling systems.

This brings AI directly into India's semiconductor and energy strategies.

It also explains why India's semiconductor policy and data-centre expansion have implications far beyond the IT sector.

The ethical dimension

The deepest AI question is not technical.

It is ethical.

If an algorithm discriminates against a person, who is responsible?

If an AI-generated decision causes harm, who should answer for it?

If an automated system is efficient but systematically excludes vulnerable citizens, can it be considered good governance?

Civil-service ethics requires that efficiency remain subordinate to constitutional values, justice, accountability and human dignity.

Way forward

India needs a balanced approach based on four principles:

Innovation: India should remain open to technological experimentation.

Safety: High-risk AI applications require appropriate safeguards.

Accountability: Human institutions must remain responsible for consequential decisions.

Inclusion: AI benefits should reach citizens across regions, languages and socio-economic groups.

Conclusion

Artificial Intelligence may become one of the defining technologies of this century.

But India's success will not be measured merely by the number of AI models it develops.

It will be measured by whether AI improves human capability, public administration, economic productivity and social welfare without compromising dignity, liberty and accountability.

Technology must ultimately remain a means of human development—not an end in itself.