The AI Impact Summit, India’s Grand Ambition, the Global South’s Hope, and the Peril of Spectacle Over Substance

The AI Impact Summit, India’s Grand Ambition, the Global South’s Hope, and the Peril of Spectacle Over Substance

Movements love global summits. They signal ambition, draw CEOs and leaders, and create the impression of shaping the future rather than chasing it. India’s ongoing Artificial Intelligence (AI) Impact Summit in New Delhi fits that template perfectly. The venue is grand, the guest list is impressive, and the rhetoric is soaring. Prime Minister Narendra Modi has taken to X to declare: “Bringing the world together to discuss AI!” Leaders and tech executives are expected to advance AI software and infrastructure partnerships, formalize new collaborations, and deepen existing ties.

But beneath the glittering surface lies a more complex and urgent question: Can India translate summit spectacle into substantive action? Can a gathering of global elites produce outcomes that meaningfully shape the development of AI—not just for the tech giants and advanced economies, but for the billions in the Global South who stand to be either empowered or left behind by this transformative technology?

The agenda is ambitious. It includes how AI can accelerate development across agriculture, healthcare, education, and governance, while also confronting the carbon cost of the data centres that power these systems. India has positioned itself as a leader of the Global South on AI, advocating for inclusive policies anchored in open-source models and digital public infrastructure (DPI). The country sees itself as an emerging AI power, even if it trails the US and China. Stanford’s Global Vibrancy Tool ranked India third in 2025. The government estimates that AI adoption could add $1.7 trillion to the economy by 2035 by lifting productivity and efficiency across industries.

Yet, as the UNDP cautions, while AI could lift global GDP growth by around two percentage points and raise productivity by up to 5% in major sectors, these gains are unlikely to be evenly shared. The risk is that AI becomes another driver of inequality—between nations, between corporations and citizens, between those who control the technology and those who are merely subject to it. Summits can easily slip into spectacle, with headline speeches, choreographed fireside chats, and promises of ‘inclusive innovation’ without budgets, timelines, or enforcement. The challenge for India is to ensure that this summit moves beyond pageantry to produce tangible outcomes.

Part I: The Summit as Signal—What India is Trying to Achieve

The AI Impact Summit is, first and foremost, a signal. India is signalling to the world—to investors, to technologists, to other governments—that it intends to be a major player in the AI revolution. The presence of global leaders and tech executives is itself a form of validation. It says that India matters, that its market matters, that its talent pool matters, that its regulatory approach matters.

But the signal is also directed inward. To its own citizens, the government is signalling that it is on top of the future, that it is shaping the technologies that will shape their lives. To its own startups and researchers, it is signalling that they have a platform, that their work is recognised, that they are part of a national project.

The summit’s focus on the Global South is a deliberate strategic choice. India is positioning itself as the voice of developing economies in AI governance—a counterweight to the US-China duopoly that has dominated the discourse. The agenda includes how AI can accelerate development in precisely the sectors that matter most to poor countries: agriculture, healthcare, education, governance. The message is that AI is not just for Silicon Valley or Shenzhen; it is for everyone.

Part II: The Substance—What India Has Already Done

The summit did not emerge from a vacuum. It is built on a foundation of policy initiatives, infrastructure investments, and regulatory actions that India has undertaken over the past several years.

Policy Framework:

• AI Governance Guidelines: India has developed a framework for AI governance that seeks to balance innovation with safety, encouraging development while addressing risks.

• Digital Personal Data Protection Act: A comprehensive data protection law that creates a framework for how personal data can be collected, processed, and stored—essential for AI systems that depend on data.

• Amended IT Rules (2026): India has imposed some of the world’s strictest compliance timelines for platforms hosting AI-generated content, including two-hour takedown mandates for deepfakes and non-consensual intimate imagery.

Infrastructure Investments:

• Semiconductor plants: The government has approved 10 semiconductor plants, aiming to build a domestic chip manufacturing ecosystem.

• Chip-design partnerships: India is pursuing partnerships for advanced chip design, recognising that AI hardware is as important as AI software.

• AI chip subsidy: Startups building Indian-language and voice models—critical in a nation where millions remain non-literate—can access subsidies for AI chips.

Data Infrastructure:

• AI Kosh repository: This initiative hosts nearly 10,000 local datasets and 273 models, offering a data backbone linked to India’s digital public infrastructure. It is a recognition that AI systems trained on global data may not serve Indian needs; they need Indian data.

Development Initiatives:

• Digital ShramSetu Mission: This initiative deploys AI tools to boost the productivity and resilience of informal workers while widening access to healthcare, education, and finance. It is a concrete example of how AI can be used for inclusive development.

Part III: The Gap—From Policy to Implementation

For all these initiatives, the gap between policy and implementation remains wide. The amended IT Rules impose strict compliance timelines, but as previous analysis has noted, the enforcement architecture remains weak. The safe harbour provisions that protect platforms have rarely, if ever, been invoked. The graduated sanctions ladder that would make compliance credible is missing.

The AI Kosh repository is a valuable resource, but its impact depends on adoption. Are Indian startups and researchers using it? Are the datasets being updated? Is there a mechanism for feedback and improvement? These questions remain unanswered.

The semiconductor plants are approved, but building a chip manufacturing ecosystem takes years, if not decades. The subsidies are announced, but the bureaucratic processes for accessing them can be daunting for startups. The Digital ShramSetu Mission is promising, but its scale is tiny compared to the size of the informal workforce it aims to serve.

The summit is an opportunity to accelerate implementation—to announce not just visions but timelines, not just partnerships but budgets, not just aspirations but accountability mechanisms.

Part IV: The Global Context—AI Governance and the Risk of Fragmentation

The AI Impact Summit takes place against a backdrop of rapid, and fragmented, global AI governance efforts. Different countries and regions are pursuing different approaches:

India’s approach, anchored in open-source models and digital public infrastructure, offers a distinct pathway. It is less about controlling AI and more about democratising access—ensuring that the benefits of AI are not captured solely by a few large corporations or a few advanced economies.

But this approach faces challenges. Open-source models can be used for harmful purposes as easily as beneficial ones. Digital public infrastructure requires sustained investment and political commitment. The Global South is not a monolith; different countries have different priorities, capacities, and concerns. Building a coalition around a shared vision is difficult.

Part V: The Peril of Spectacle—When Summits Become Pageantry

The critique embedded in the analysis is sharp: “Summits can easily slip into spectacle with headline speeches, choreographed fireside chats and promises of ‘inclusive innovation’ without budgets, timelines or enforcement.” The danger is that the AI Impact Summit becomes another example of pageantry—a grand event that produces memorable photographs but little lasting change.

This is not a trivial risk. Global summits on technology have a mixed track record. Some have shaped agendas and influenced policy. The UK’s Bletchley Park summit produced a declaration that framed the debate on frontier AI oversight. The G-7 Hiroshima process established voluntary guardrails. The EU’s AI Act emerged from years of debate, not a single summit.

But many summits produce little more than communiques that are read by no one and forgotten within weeks. The test of the AI Impact Summit is not the number of CEOs who attended or the length of the Prime Minister’s speech. The test is whether it leads to:

• New funding commitments for AI research and development in the Global South.

• Concrete partnerships that transfer technology and build capacity.

• Agreed principles for inclusive AI that are actually implemented.

• Accountability mechanisms that track progress and address failures.

Part VI: The Voices That Must Be Heard

The analysis also notes a critical omission: “Smaller firms, civil society, independent researchers and AI critics must also be heard at such summits.” The danger of summits dominated by governments and large corporations is that they produce a narrow consensus that serves the interests of the powerful while ignoring the concerns of the marginalised.

• Smaller firms face different challenges than tech giants—access to capital, to talent, to markets. Their voices need to be heard if AI policy is to support innovation across the board, not just for the incumbents.

• Civil society brings perspectives on human rights, equity, and social impact that may not be represented in corporate boardrooms or government ministries.

• Independent researchers can provide evidence and analysis that challenges official narratives and exposes hidden problems.

• AI critics—those who question the direction of AI development, who warn of risks, who advocate for precaution—are not obstacles to progress but essential participants in democratic debate.

An inclusive AI agenda must be shaped through inclusive processes. The summit is an opportunity to broaden the conversation, not just to amplify the voices that are already loudest.

Conclusion: From Spectacle to Substance

India’s AI Impact Summit is a moment of opportunity. It brings together the actors who will shape the future of AI. It signals India’s ambition to lead. It showcases the policy initiatives and infrastructure investments that India has already made.

But opportunity is not achievement. The summit will be judged not by its spectacle but by its substance. Will it produce new commitments? Will it accelerate implementation? Will it broaden the conversation? Will it move the world closer to an AI future that is inclusive, equitable, and just?

The answers are not yet known. What is known is that the stakes are high. AI is not just another technology; it is a transformative force that will reshape economies, societies, and lives. How it is governed, who benefits from it, and who is harmed by it—these are questions that will determine the shape of the 21st century.

India has positioned itself as a leader in answering these questions for the Global South. The summit is a test of whether that leadership is real. The world is watching.

Q&A: India’s AI Impact Summit and the Challenge of Inclusive AI

Q1: What is the AI Impact Summit, and what is India trying to achieve through it?

A1: The AI Impact Summit is a global gathering in New Delhi focused on artificial intelligence. India’s objectives are multi-layered:

The framing: India sees itself as an “emerging AI power” (ranked third by Stanford’s Global Vibrancy Tool in 2025) and estimates AI could add $1.7 trillion to its economy by 2035.

Q2: What policy and infrastructure initiatives has India already undertaken in AI?

A2: India has built a foundation through multiple initiatives:

The significance: These initiatives provide the foundation for India’s AI ambition—but the gap between policy and implementation remains wide.

Q3: What is the UNDP’s caution about AI’s impact, and why does it matter for India’s approach?

A3: The UNDP cautions that while AI could lift global GDP growth by around two percentage points and raise productivity by up to 5% in major sectors, “these gains are unlikely to be evenly shared.”

Why this matters:

India’s opportunity: The UN believes India is “well placed to push inclusive AI adoption” through initiatives like Digital ShramSetu Mission and its focus on open-source models and DPI. But inclusive outcomes require deliberate policy, not just market forces.

Q4: What is the risk that the summit becomes “spectacle” rather than substance?

A4: The risk is real and multi-faceted:

The test of success:

• New funding commitments for AI R&D in Global South.

• Concrete partnerships transferring technology and building capacity.

• Agreed principles for inclusive AI that are actually implemented.

• Accountability mechanisms tracking progress and addressing failures.

Q5: What voices need to be heard at the summit for AI governance to be truly inclusive?

A5: The analysis identifies several essential voices often marginalised in such gatherings:

The principle: “An inclusive AI agenda must be shaped through inclusive processes.” The summit is an opportunity to “broaden the conversation, not just to amplify the voices that are already loudest.”