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The world of Artificial Intelligence is entering a new phase with the rise of Agentic AI, often described as the third wave of AI evolution. Unlike earlier systems that relied on static models (that learn from the information that is fed) and reactive outputs, Agentic AI introduces intelligent agents that can make decisions, take initiative, and act autonomously in real time. These systems are designed to require minimal human oversight while actively collaborating and learning continuously. Such capabilities indicate an incoming shift, especially in the ways in which Indian businesses can function. For better understanding, Agentic AI is capable of streamlining operations, personalising services, and driving innovations at scale.

India and Agentic AI

Building as we go, India is making continuous strides in the AI revolution- deliberating on government frameworks, and simultaneously adapting. At Microsoft's Pinnacle 2025 summit in Hyderabad, India's pivotal role in shaping the future of Agentic AI was brought to the spotlight. With over 17 million developers on GitHub and ambitions to become the world's largest developer community by 2028, India's tech talent is gearing up to lead global AI innovations. Microsoft's Azure AI Foundry, also highlighted the country's growing influence in the AI landscape.

Indian companies are actively integrating Agentic AI into their operations to enhance efficiency and customer experience. Zomato is leveraging AI agents to optimise delivery logistics, ensuring timely and efficient service. Infosys has developed AI-driven copilots to assist developers in code generation, reducing development time, requiring fewer people to work on a particular project, and improving software quality. 

As per a report by Deloitte, the Indian AI market is projected to grow potentially $20 billion by 2028. However, this is accompanied by significant challenges. 92% of Indian executives identify security concerns as the primary obstacle to responsible AI usage. Additionally, regulatory uncertainties and privacy risks associated with sensitive data were also highlighted.

Challenges in Adoption

Despite the enthusiasm, several barriers hinder the widespread adoption of Agentic AI in India:

• Skills Gap: While the AI workforce is expected to grow to 1.25 million by 2027, the current growth rate of 13% is considered to be insufficient with respect to the demands of the market. 
• Data Infrastructure: Effective AI systems require robust, structured, and accessible datasets. Many organisations lack the necessary data maturity, leading to flawed AI outputs and decision-making failures.
• Trust and Governance: Building trust in AI systems is crucial. Concerns over data privacy, ethical usage, and regulatory compliance require robust governance frameworks to ensure the adoption of AI in a responsible manner.
• Looming fear of job loss: As AI continues to take up more sophisticated roles, a general feeling of hesitancy with respect to the loss of employment/human labour might come in the way of adopting such measures.
• Outsourcing: Currently, most companies prefer outsourcing or buying AI solutions rather than building them in-house. This gives rise to the issue of adapting to evolving needs.

The Road Ahead

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To fully realise the potential of Agentic AI, India must address the following challenges :

• Training the Workforce: Initiatives and workshops tailored for employees that provide AI training can prove to be helpful. Some relevant examples are Microsoft’s commitment to provide AI training to 2 million individuals by 2025 and Infosys's in-house AI training programs.
• Data Readiness: Investing in modern data infrastructure and promoting data literacy are essential to improve data quality and accessibility.
• Establishing Governance Frameworks: Developing clear regulatory guidelines and ethical standards will foster trust and facilitate responsible AI adoption. Like the IndiaAI mission, efforts regarding evolving technology and keeping up with it are imperative.

Agentic AI holds unrealised potential to transform India's business landscape when coupled with innovation and a focus on quality that enhances global competitiveness. India is at a position where by proactively addressing the existing challenges, this potential can be realised and set the foundation for a new technological revolution (along with in-house development), solidifying its position as a global AI leader.

References

• https://economictimes.indiatimes.com/tech/artificial-intelligence/india-facing-shortage-of-agentic-ai-professionals-amid-surge-in-demand/articleshow/120651512.cms?from=mdr
• https://economictimes.indiatimes.com/tech/artificial-intelligence/india-a-global-leader-in-agentic-ai-adoption-deloitte-report/articleshow/119906474.cms?from=mdr
• https://inc42.com/features/from-zomato-to-infosys-why-indias-biggest-companies-are-betting-on-agentic-ai/
• https://www.hindustantimes.com/india-news/agentic-ai-next-big-leap-in-workplace-automation-101742548406693.html
• https://www.deloitte.com/in/en/about/press-room/india-rides-the-agentic-ai-wave.html
• https://www.businesstoday.in/tech-today/news/story/ais-next-chapter-starts-in-india-microsoft-champions-agentic-ai-at-pinnacle-2025-474286-2025-05-01
• https://www.hindustantimes.com/opinion/calm-before-ai-storm-a-moment-to-prepare-101746110985736.html‍
• https://www.financialexpress.com/life/technology/why-agentic-ai-is-the-next-big-thing/3828357/
  

The Digital Personal Data Protection (DPDP) Act, 2023, operationalises data privacy largely through a consent management framework. It aims to give data principles, ie, individuals, control over their personal data by giving them the power to track, change, and withdraw their consent from its processing. However, in practice, consent management is often not straightforward. For example, people may be frequently bombarded with requests, which can lead to fatigue and eventual overlooking of consent requests. This article discusses the way consent management is handled by the DPDP Act, and looks at how India can design the system to genuinely empower users while holding organisations accountable.

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Consent Management in the DPDP Act

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According to the DPDP Act, consent must be unambiguous, free, specific, and informed. It must also be easy for people to revoke their consent (DPO India, 2023). To this end, the Act creates Consent Managers- registered middlemen- who serve as a link between users and data custodians. 

The purpose of consent managers is to streamline and centralise the consent procedure. Users can view, grant, update, or revoke consent across various platforms using the dashboards they offer. They hope to improve transparency and lessen the strain on people to keep track of permissions across different services by standardising the way consent is presented (IAPP, 2024).

The Act draws inspiration from international frameworks such as the GDPR (General Data Protection Regulation), mandating that Indian users be provided with a single platform to manage permissions rather than having to deal with dispersed consent prompts from every service.

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The Challenges 

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Despite the mandate for an interoperable platform for consent management, several key challenges emerge. There is a lack of clarity on how consent management will be operationalised. This creates challenges of accountability and implementation.  Thus, : 

1. If the interface is poorly designed,  users could be bombarded with content permissions from apps/platforms/ services that are not fully compliant with the platform. 
2. If consent notices are vague, frequent, lengthy, or complex, users may continue to grant permissions without meaningful engagement. 
3. It leaves scope for data fiduciaries to use dark patterns to coerce customers into granting consent through poor UI/UX design.
4. The lack of clear, standardised interoperability protocols across sectors could lead to a fragmented system, undermining the goal of a single, easy-to-use platform.
5. Consent fatigue could easily appear in India's digital ecosystem, where apps, e-commerce websites, and government services all ask for permissions from over 950 million internet subscribers. Experiences from GDPR countries show that users who are repeatedly prompted eventually become banner blind, which causes them to ignore notices entirely.
6. Low levels of literacy (including digital literacy) and unequal access to digital devices among women and marginalised communities create complexities in the substantive coverage of privacy rights.  
7. Placing the burden of verification of legal guardianship for children and persons with disabilities (PwDs) on data fiduciaries might be ineffective, as SMEs may lack the resources to undertake this activity. This could create new forms of vulnerability for the two groups. 

Legal experts claim that this results in what they refer to as a legal fiction, wherein consent is treated as valid by the law despite the fact that it does not represent true understanding or choice (Lawvs, 2023). Additionally, research indicates that users hardly ever read privacy policies in their entirety. People are very likely to tick boxes without fully understanding what they are agreeing to. By drastically limiting user control, this has a bearing on the privacy rights of Indian citizens and residents.  (IJLLR, 2023).

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Impacts of Weak Consent Management:

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According to the Indian Journal of Law and Technology, in an era of asymmetry and information overload, privacy cannot be sufficiently protected by relying only on consent (IJLT, 2023). Almost every individual will be impacted by inadequate consent management.

1. For Users: True autonomy is replaced by the appearance of control. Individuals may unintentionally disclose private information, which undermines confidence in digital services.
2. For Businesses: Compliance could become a mere formality. Further, if acquired consent is found to be manipulated or invalid, it creates space for legal risks and reputational damage. 
3. For Regulators: It becomes difficult to oversee a system where consent is frequently disregarded or misinterpreted. When consent is merely formal, the law's promise to protect personal information is undermined.

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Way Forward

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1. Layered and Simplified Notices: Simple language and layers of visual cues should be used in consent requests. Important details like the type of data being gathered, its intended use, and its duration should be made clear up front. Additional explanations are available for users who would like more information. This method enhances comprehension and lessens cognitive overload (Lawvs, 2023).
2. Effective Dashboards: Dashboards from consent managers should be user-friendly, cross-platform, and multilingual. Management is made simple by features like alerts, one-click withdrawal or modification, and summaries of active permissions. The system is more predictable and dependable when all services use the same format, which also reduces confusion (IAPP, 2024). 
3. Dynamic and Contextual Consent: Instead of appearing as generic pop-ups, consent requests should show up when they are pertinent to a user's actions. Users can make well-informed decisions without feeling overburdened by subtle cues, such as emphasising risks when sensitive data is requested (IJLLR, 2023). 
4. Accountability of Consent Managers: Organisations that offer consent management services must be accountable and independent, through clear certification, auditing, and specific legal accountability frameworks. Even when formal consent is given, strong trustee accountability guarantees that data is not misused (IJLT, 2023).
5. Complementary Protections Beyond Consent: Consent continues to be crucial, but some high-risk data processing might call for extra protections. These may consist of increased responsibilities for fiduciaries or proportionality checks. These steps improve people's general protection and lessen the need for frequent consent requests (IJLLR, 2023).

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Conclusion

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The core of the DPDP Act is to empower users to have control over their data through measures such as consent management. But requesting consent is insufficient; the system must make it simple for people to manage, monitor, and change it. Effectively designed, managed, and executed consent management has the potential to revolutionise user experience and trust in India's digital ecosystem if it is implemented carefully.To make consent management genuinely meaningful, it is imperative to standardise procedures, hold fiduciaries accountable, simplify interfaces, and investigate supplementary protections.

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References

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Building Trust with Technology: Consent Management Under India’s DPDP Act, 2023

Consent Fatigue and Data Protection Laws: Is ‘Informed Consent’ a Legal Fiction

Beyond Consent: Enhancing India's Digital Personal Data Protection Framework

Constitutional Implications Of Consent Fatigue In Data Protection: Rethinking Meaningful Consent In The Indian Context 

Top 10 operational impacts of India’s DPDPA – Consent management

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Introduction

The AI Action Summit is a global forum that brings together world leaders, policymakers, technology experts, and industry representatives to discuss AI governance, ethics, and its role in society. This year, the week-long  Paris AI Action Summit officially culminated on the 11th of February, 2025. It brought together experts from the industry, policymakers, and other dignitaries to discuss Artificial Intelligence and its challenges. The event was co-chaired by Indian Prime Minister Narendra Modi and French President Emmanuel Macron. In line with the summit, the Indian delegation actively engaged in the 2nd India-France AI Policy Roundtable, an official side event of the summit, and the 14th India-France CEOs Forum. These discussions were on diverse sectors including defense, aerospace, technology, etc. among other things.

Prime Minister Modi’s Address 

During the AI Action Summit in Paris, Prime Minister Narendra Modi drew attention to the revolutionary effect of AI in politics, the economy, security, and society. Stressing the requirement of international cooperation, he promoted strong frameworks of governance to combat AI-based risks and consequently, build public confidence in new technologies. Needed efforts with respect to cybersecurity issues such as deepfakes and disinformation were also acknowledged. 

Democratising AI, and sharing its benefits, particularly with the Global South not only aligned with Sustainable Development Goals (SDGs) but also affirmed India’s resolve towards sharing expertise and best practices. India’s remarkable feat of creating a Digital Public Infrastructure,  that caters to a population of 1.4 billion through open and accessible technology was highlighted as well.

Among the key announcements, India revealed its plans to create its own Large Language Model (LLM) that reflects the country's linguistic diversity, strengthening its AI aspirations. Further, India will be hosting the next AI Action Summit, reaffirming its position in international AI leadership. The Prime Minister also welcomed France's initiatives, such as the launch of the "AI Foundation" and the "Council for Sustainable AI", initiated by President Emmanuel Macron. He emphasized the necessity to extend the Global Partnership for AI and to get it more representative and inclusive so that Global South voices are actually incorporated into AI innovation and governance.

Other Perspectives

Though there were 58 countries that signed the international agreement on a more open, inclusive, sustainable, and ethical approach to AI development (including India, France, and China), the UK and the US have refused to sign the international agreement at the AI Summit stating their issues with global governance and national security. While the former raised concerns about the lack of sufficient details regarding the establishment of global AI governance and AI’s effect on national security as their reason, the latter showcased its reservations about the overly wide AI regulations which had the potential to hamper a transformative industry. Meanwhile, the US is also looking forward to ‘Stargate’, its $500 billion AI infrastructure project alongside the companies- OpenAI, Softbank, and Oracle. 

CyberPeace Insights

The Summit has garnered greater significance with the backdrop of the release of platforms such as DeepSeek R1, China’s AI assistant system similar to that of OpenAI’s ChatGPT. On its release, it was the top-rated free application on Apple’s app store and sent the technology stocks tumbling. Moreover, investors world over appreciated the creation of the model which was made roughly in about $5 million while other AI companies spent more in comparison (keeping in mind the restrictions caused by the chip export controls in China). This breakthrough challenges the conventional notion that massive funding is a prerequisite for innovation, offering hope for India’s burgeoning AI ecosystem. With the IndiaAI mission and fewer geopolitical restrictions, India stands at a pivotal moment to drive responsible AI advancements. 

References:

• https://www.mea.gov.in/press-releases.htm?dtl/39023/Prime_Minister_cochairs_AI_Action_Summit_in_Paris_February_11_2025
• https://indianexpress.com/article/explained/explained-sci-tech/what-is-stargate-trumps-500-billion-ai-project-9793165/
• https://pib.gov.in/PressReleasePage.aspx?PRID=2102056
• https://pib.gov.in/PressReleasePage.aspx?PRID=2101947
• https://pib.gov.in/PressReleasePage.aspx?PRID=2101896
• https://www.timesnownews.com/technology-science/uk-and-us-decline-to-sign-global-ai-agreement-at-paris-ai-action-summit-here-is-why-article-118164497 
• https://www.thehindu.com/sci-tech/technology/india-57-others-sign-paris-joint-statement-on-inclusive-sustainable-ai/article69207937.ece 

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