OpenAI to Open First India Office in New Delhi, Marking Major Expansion in World’s Second-Largest AI Market

OpenAI to Open First India Office in New Delhi, Marking Major Expansion in World’s Second-Largest AI Market

OpenAI, the San Francisco-based artificial intelligence research organisation behind ChatGPT, announced it will open its first office in India, to be located in New Delhi, later this year. This marks OpenAI’s inaugural physical presence in India – the company’s second-largest market by user numbers – and underscores its long-term commitment to expanding AI access and innovation in the country. OpenAI has already established a legal entity and begun hiring a local team in India, reflecting a significant investment in one of the world’s fastest-growing technology markets.

India’s adoption of AI has accelerated rapidly. ChatGPT’s weekly active user base in India has quadrupled over the past year, and the country now represents OpenAI’s largest user community outside the United States. In response to surging demand, OpenAI recently introduced a specially priced subscription plan for India at ₹399 per month (approximately $4.60) – its most affordable offering worldwide – to make advanced AI capabilities more accessible to millions of Indian users. This localised strategy aligns with OpenAI’s mission of democratising AI and “building AI for India, and with India,” as the company positions itself to serve nearly one billion internet users in the world’s most populous nation.

“Opening our first office and building a local team is an important first step in our commitment to make advanced AI more accessible across the country and to build AI for India, and with India,” said Sam Altman, Chief Executive Officer of OpenAI. “The level of excitement and opportunity for AI in India is incredible. India has all the ingredients to become a global AI leader – amazing tech talent, a world-class developer ecosystem, and strong government support through the IndiaAI Mission,” he added. Altman noted that a dedicated India presence will enable OpenAI to collaborate more closely with Indian developers, research institutions, and enterprises to tailor AI solutions to local needs.

Indian government officials welcomed OpenAI’s expansion. “OpenAI’s decision to establish a presence in India reflects the country’s growing leadership in digital innovation and AI adoption. With strong investments in digital public infrastructure, AI talent, and enterprise-scale solutions, India is uniquely positioned to drive the next wave of AI-led transformation,” said Ashwini Vaishnaw, Union Minister for Electronics and Information Technology. “As part of the IndiaAI Mission, we are building the ecosystem for trusted and inclusive AI, and we welcome OpenAI’s partnership in advancing this vision to ensure the benefits of AI reach every citizen,” the minister added. The IndiaAI programme is a $1.2 billion national initiative to foster AI innovation, and OpenAI’s on-ground presence is expected to bolster these efforts through knowledge exchange and co-development of AI solutions for the region.

With its New Delhi office, OpenAI plans to deepen collaboration with local industry and government partners. The company aims to partner with Indian businesses, startups, and developers to build AI tools tailored for India – from language models that understand Indian languages and contexts to solutions addressing challenges in education, healthcare, agriculture, and more. OpenAI’s initial hiring in India has focused on senior roles in public policy, partnerships and sales, indicating an emphasis on engaging with stakeholders and expanding enterprise adoption of AI. The New Delhi office will also serve as a hub for outreach and training: OpenAI has recently launched an AI education programme in partnership with the IndiaAI Mission, which includes training for educators and developers nationwide and support for AI startups through credits and grants. By the end of this year, OpenAI will host its first developer conference in India, bringing together the country’s vibrant developer community to foster innovation and showcase local AI projects.

Analysis: OpenAI’s India Expansion and Its Broader Implications

OpenAI’s move to establish its first Indian office is more than just a new address – it is a strategic step with wide-ranging implications for the company and India’s AI landscape. Below is an analysis of the factors driving this expansion and what it means for the tech ecosystem, talent pool, partnerships, regulation, and competition in India.

Strategic Rationale for Expansion into India

India’s enormous digital population and rapid adoption of AI made it a natural choice for OpenAI’s global expansion. User Base & Growth: With India now ChatGPT’s second-largest user base after the U.S., usage has been skyrocketing – weekly active users in India have increased fourfold in the last year alone. This “incredibly fast-growing” uptake gives India the potential to even surpass the US as OpenAI’s biggest market, according to CEO Sam Altman. Establishing a local office allows OpenAI to better serve this user base and capitalize on a billion-strong market of internet users hungry for AI services.

Local Talent & Ecosystem: India offers a deep pool of technical talent and a thriving developer community, which Altman touts as “amazing tech talent” and a “world-class developer ecosystem” ripe for AI leadership. By having an on-ground presence, OpenAI can tap into this talent for research, engineering and customer support roles, and collaborate directly with local developers to create AI solutions that resonate with Indian users’ needs. The company’s strategy explicitly focuses on bringing products to India and working with local partners to make AI more affordable and useful across the country. This includes localized pricing strategies – for example, the new ₹399 ChatGPT subscription plan significantly undercuts competing AI services from Google and Microsoft in cost – as well as developing features attuned to India’s multilingual and diverse context.

Government Support: Another key reason for OpenAI’s India push is the supportive stance of the Indian government. India’s policymakers have signalled strong encouragement for AI-driven innovation through initiatives like the IndiaAI Mission, which aligns with OpenAI’s goals of expanding AI access. In Altman’s words, “strong government support” via IndiaAI is a crucial ingredient in India’s potential as a global AI leader. OpenAI’s expansion is thus strategically timed to ride the momentum of India’s national AI programmes and public-sector openness to collaborate on AI for social good. In summary, India offers OpenAI a convergence of market opportunity, talent availability, and a favourable policy climate, making it a compelling choice for the company’s first foray into Asia.

Impact on India’s AI and Tech Ecosystem

OpenAI’s entry is poised to have a catalysing effect on India’s broader AI ecosystem. As one of the world’s leading AI labs sets up locally, it can share expertise, best practices, and cutting-edge research with the Indian tech community. Already, local businesses and institutions across India are leveraging OpenAI’s tools to tackle real-world challenges – from AI-powered agricultural advisories to streamlined recruitment processes and governance applications. A physical presence can deepen these engagements, enabling OpenAI engineers and researchers to work directly with Indian partners on solutions tailored to local problems (such as AI models that handle regional languages or address India-specific use cases).

Moreover, OpenAI’s collaboration with the Indian government’s IndiaAI Mission suggests a direct contribution to India’s national AI capabilities. The company has committed to support the IndiaAI program’s goal of building both large and small language models for the region, which could accelerate the development of home-grown AI solutions (for example, AI models fluent in Indian languages and dialects). Such cooperation could strengthen India’s technological self-reliance in AI while still benefiting from OpenAI’s advanced models. It’s a symbiotic arrangement: India gains access to OpenAI’s expertise and technology, and OpenAI gains a role in shaping solutions for one of the largest emerging AI markets.

OpenAI is also contributing to AI literacy and skill development in India. Through the recently launched OpenAI Academy India – done in partnership with the IndiaAI Mission – the company is helping train one million teachers in using AI, offering free AI courses via government platforms, and running hackathons for students and entrepreneurs. By boosting AI education and awareness, OpenAI is seeding a larger base of skilled AI users and developers in the country, which in turn feeds the tech ecosystem’s growth. This initiative dovetails with India’s own emphasis on reskilling and upskilling in AI, and it ensures that OpenAI’s tools will be used widely and wisely by the next generation of Indian innovators.

Overall, OpenAI’s presence can elevate the innovation climate – inspiring startups to build on its APIs, prompting research collaborations with Indian universities, and encouraging multinational tech firms in India to ramp up their AI investments. It also sends a strong signal internationally that India is an essential arena for AI advancement. In much the same way that the establishment of major R&D centers by Google and Microsoft in past decades boosted India’s IT ecosystem, OpenAI’s office could become a nucleus for high-end AI development in the region. The net impact is likely to be an invigorated AI sector in India, with greater access to advanced tools, more AI-focused events and communities, and a flow of new ideas between India and the global AI community.

Implications for Local Talent and Hiring

For India’s tech professionals and aspiring AI researchers, OpenAI’s entry opens up exciting opportunities. The company has started recruiting in India, initially for senior business and partnerships roles (such as enterprise account directors) and policy specialists. These hires suggest that OpenAI’s first mandate in India is to build relationships and tailor its services for key customers (enterprises, developers, and government) on the ground. Over time, OpenAI is likely to expand into technical hiring – potentially recruiting AI engineers, research scientists, and product developers from India’s talent pool. Given India’s reputation for software expertise, this could mean more Indians working on core AI development without having to relocate abroad.

OpenAI’s first India hire in 2024 was a Public Policy and Partnerships lead, Pragya Misra, tasked with engaging government and industry stakeholders. This early focus on policy indicates OpenAI’s recognition that understanding India’s socio-political context is crucial for success. It also underscores the emphasis on responsible AI deployment – working with regulators and policymakers as India shapes its AI governance (more on that below). For Indian AI professionals, roles at OpenAI provide a chance to contribute to cutting-edge AI projects (like GPT-5 and beyond) from within India, potentially reversing the historical “brain drain” trend by keeping top talent in-country. It could also spur a race for talent: other tech companies, seeing OpenAI hire locally, may increase their own recruitment and retention efforts for AI experts in India. This competition can benefit professionals through increased job openings, higher salaries, and more opportunities to work on advanced AI.

Additionally, OpenAI’s ecosystem-building (events, hackathons, summits) creates indirect benefits for local talent. OpenAI’s planned Developer Day in India and educational initiatives will allow Indian developers to interact with OpenAI’s team, learn best practices, and showcase their work. Such exposure can hone skills and even open doors for collaborations or employment with global firms. Indian startups and engineers who win OpenAI-supported hackathons or receive OpenAI API credits will gain credibility and experience, making them more attractive hires for the wider industry. In essence, OpenAI’s presence contributes to a virtuous cycle of talent development: it draws on India’s skilled workforce, and in turn provides training, resources, and inspiration that elevate the expertise of that workforce.

However, there may also be challenges. OpenAI and other global AI firms hiring aggressively could make it harder for smaller Indian startups or academia to retain top AI researchers. The talent war in AI is global, and OpenAI’s competitive salaries and prestige might lure some experts away from local ventures or research labs. Yet, this effect might be mitigated by the sheer size of India’s talent pool and the fact that many Indian tech professionals still seek roles in big tech companies for career growth. On balance, OpenAI’s Indian office is a boon for local talent – providing new career pathways and injecting AI project experience into the community – while slightly intensifying the competition for expertise in the short term.

Collaboration Opportunities with Indian Industry and Government

One of the most promising aspects of OpenAI’s expansion is the scope for partnerships with Indian companies, startups, and government agencies. OpenAI’s technology (like GPT-4/5, DALL·E, Codex, etc.) can be a force multiplier when combined with domain-specific knowledge of local players. We can expect to see collaborations in multiple forms:

  • Enterprise Partnerships: Large Indian IT services firms (TCS, Infosys, Wipro, etc.) and sector leaders (banks, healthcare networks, manufacturers) are potential partners or clients for OpenAI. Many of these organisations are already exploring generative AI to enhance their offerings. With OpenAI on the ground, they could directly work together to integrate ChatGPT-based solutions into enterprise software, customer service, analytics and more. For instance, an Indian bank might collaborate with OpenAI to develop an AI assistant for customers in vernacular languages, or an e-commerce company might use OpenAI’s models to power shopping chatbots. OpenAI’s hiring of enterprise account directors in India supports this focus on local business integration.
  • Startup and Developer Ecosystem: India boasts 100+ startups in the generative AI space and a thriving developer community. OpenAI is actively courting this group by offering support such as API credits (up to $100k for select startups) and technical grants as part of the OpenAI Academy India initiative. This financial and mentorship support will encourage startups to build on OpenAI’s APIs and platform. We may see Indian startups leveraging OpenAI’s models to build applications in areas like education (AI tutors), healthcare (diagnostic assistants), agriculture (crop advisory bots), and entertainment (creative content generation). Additionally, OpenAI’s planned hackathons across Indian states and the invite for top teams to attend OpenAI’s global DevDay will integrate Indian innovators more tightly with OpenAI’s roadmap. Essentially, OpenAI is embedding itself into India’s innovation pipeline, potentially co-creating solutions with Indian entrepreneurs and seeding a network of India-based AI applications that rely on OpenAI’s technology.
  • Government and Public Sector: The partnership between OpenAI and the IndiaAI Mission (a government-led programme) is a cornerstone of collaboration. A formal memorandum of understanding was signed to launch the OpenAI Academy India in conjunction with the Ministry of Electronics & IT. Beyond education, OpenAI can work with government on applying AI to public services. India’s government has keen interest in AI for improving governance – such as language translation for government documents (to bridge linguistic diversity), AI in agriculture (for yield prediction and advisory), and public healthcare (for diagnostics in rural areas). With OpenAI’s expertise, pilot projects in these domains could be accelerated. Notably, the government-run iGOT Karmayogi platform (used for civil servant training) is now integrating OpenAI’s educational content, which hints at future collaboration on training bureaucrats in AI usage. OpenAI’s local policy team, including advisors like former Twitter India head Rishi Jaitly, will also be liaising with officials to explore how OpenAI’s tools can contribute to flagship initiatives like Digital India and Smart Cities. In summary, OpenAI stands to be a key ally for the Indian government in its AI ambitions, whether by jointly developing India-specific AI models or by enabling public sector adoption of AI across various services.

These collaborations are mutually beneficial. Indian companies and institutions get access to world-class AI models and expertise, rather than having to build everything from scratch. OpenAI, on the other hand, gains local knowledge, data (where shared responsibly), and real-world use cases that can improve its models. Working closely with Indian partners will also help OpenAI adapt its products to Indian consumers – for example, refining ChatGPT’s understanding of Indian names, places, cultural contexts, or tailoring features for users with limited English proficiency.

Furthermore, by partnering in India, OpenAI can strengthen its global network. Success stories and innovations arising from India can be replicated in other emerging markets, using India as a template for how to drive AI adoption in diverse, populous countries. This aligns with the view that OpenAI’s India expansion is a “blueprint for AI adoption in emerging economies,” combining affordability, education, and policy alignment to create a virtuous cycle of growth. In essence, effective collaboration in India could amplify OpenAI’s impact not just locally but across other parts of the developing world.

Navigating India’s Regulatory Landscape

India’s regulatory environment for AI is still taking shape, and OpenAI’s presence means it will be increasingly involved in that evolution. As of early 2025, India does not have a dedicated law exclusively governing AI. Instead, the government has adopted a “pro-innovation” approach – issuing guiding principles and ethical frameworks to steer AI development responsibly, rather than heavy-handed regulation. This means OpenAI operates in a relatively open environment, but one that is subject to general laws (like data protection and intellectual property) and to sectoral guidelines.

Data Protection and Privacy: India’s Digital Personal Data Protection Act of 2023 imposes rules on how personal data can be collected and processed, emphasizing user consent and privacy. For OpenAI, compliance with this Act is critical, given that AI models like ChatGPT rely on processing large amounts of data, some of which could be user-provided personal information. OpenAI’s stated principles around user privacy and data security are in line with these regulations, and analysts note that India’s evolving rules on transparency and accountability in AI align closely with OpenAI’s own ethical guidelines. By engaging early with Indian authorities (as evidenced by hiring policy experts and joining industry discussions), OpenAI positions itself as a **“trusted partner” in India’s AI journey, contributing to policy discussions and ensuring its systems meet local standards. This alignment helps reduce regulatory friction and build government trust.

Intellectual Property and Content Use: A pressing challenge OpenAI faces in India is legal pushback over content copyright. Indian news publishers and authors have filed lawsuits alleging that OpenAI used their copyrighted material to train ChatGPT without permission. OpenAI has denied wrongdoing, stating it uses public data and offers opt-outs for websites. Nevertheless, the dispute has caught regulators’ attention – in May 2025 the government formed a panel to review if copyright laws need updating for AI. This panel will examine AI’s implications on copyright and could recommend new rules or clarifications. As OpenAI sets up in India, it will need to navigate the outcome of such reviews. The company may have to implement more robust mechanisms for content owners to exclude their data or explore licensing arrangements in India if required. OpenAI’s local presence and engagement with policymakers mean it can directly participate in crafting solutions – for example, by advising on how to balance innovation and intellectual property, a key concern for AI globally.

Responsible AI and Other Regulations: India has released ethical AI guidelines (like NITI Aayog’s principles for responsible AI) focusing on fairness, transparency, and accountability. While not legally binding, they set expectations for AI providers. OpenAI will be expected to uphold high standards in avoiding biases and ensuring safety of its AI systems. Any high-profile missteps (such as generative AI causing harm or misinformation) could invite regulatory scrutiny or public backlash. Additionally, certain sectors in India have AI-specific guidance – for instance, financial regulators require firms to report their use of AI/ML algorithms. If OpenAI’s tools are used in such regulated sectors, the company might need to help clients comply with those reporting requirements or provide information about how its models work (to the extent possible, given the complexity of large models).

OpenAI also has to be mindful of India’s broader digital and content regulations. For example, India’s IT rules govern intermediaries and content platforms, and while ChatGPT is a conversational AI, if it’s offered as a service in India, questions of liability for the AI’s output could arise. So far, India hasn’t indicated any move to outright restrict AI services (in contrast to some other countries that temporarily banned ChatGPT), but authorities are watchful about AI’s potential societal impacts such as misinformation or job displacement. OpenAI’s proactive engagement – through its policy lead and participation in industry bodies – suggests it intends to help shape any forthcoming AI regulations in a direction that balances innovation with safeguards. Indeed, OpenAI’s expansion “underscores its effort to help shape early regulations” in this fast-moving field.

In summary, India’s regulatory landscape presents both a challenge and an opportunity for OpenAI. The challenge is the uncertainty – rules will evolve in coming years around AI training data, liability, and ethics, requiring OpenAI to stay agile and compliant. The opportunity is to be at the table as a leading voice, guiding sensible regulation. So far, India’s government appears to appreciate industry input and is taking a collaborative approach to AI governance. OpenAI’s local team is well-poised to contribute to this dialogue, ensuring that regulatory outcomes neither stifle innovation nor compromise public interest. Successfully navigating this landscape will be crucial for OpenAI to secure its long-term licence to operate and innovate in India.

Competitive Positioning in India’s AI Market

OpenAI’s move into India comes amid intensifying competition in the AI arena, both from global tech giants and emerging local players. Globally, companies like Google, Meta, and Microsoft are all vying for AI leadership, and India is one of the key battlegrounds where this contest is playing out.

  • Google: Google has an established presence in India with multiple offices and has invested in AI research locally (including a Google AI centre in Bengaluru). It is developing Gemini, a next-generation AI model, and already offers AI products like Google Bard (a ChatGPT-like chatbot). In the Indian market, Google has the advantage of Android’s massive user base and a long history with features like voice assistant that support Indian languages. Indeed, competition is heating up – Google’s upcoming Gemini AI and related services are poised to challenge OpenAI’s offerings, and reports indicate Google may price some AI features attractively or even free for Indian users. In fact, Google’s AI rival in India has made some advanced features free, pressuring OpenAI to keep its value proposition strong. OpenAI’s strategy of a low-cost ChatGPT plan is partly to preempt Google by capturing users now with an affordable solution. Nevertheless, as Google integrates AI into its ubiquitous products (Search, Gmail, etc.), OpenAI will need to differentiate its services, perhaps by superior model performance or specialized local partnerships, to stay ahead.
  • Meta (Facebook): Meta is not directly offering a ChatGPT-like consumer service in India, but it has made waves by open-sourcing its Llama 2 large language model. This open approach means many developers in India can fine-tune and deploy their own AI models at lower cost, potentially reducing reliance on OpenAI’s proprietary models. For instance, an Indian startup or research lab might build a Hindi chatbot using Llama 2 or other open-source models, undercutting OpenAI in specific niches. Meta also has a huge user base in India through Facebook, WhatsApp, and Instagram, and it’s infusing AI features (like generative AI for creating content) into those platforms. While not a direct competitor as a service provider, Meta’s AI initiatives represent an alternative ecosystem. OpenAI’s competitive positioning here involves emphasizing the superior capabilities and reliability of its models – which currently often outperform open-source versions – and possibly open-sourcing some tools or supporting open research to engage the community. Additionally, if Meta’s AI efforts lead to new consumer products (for example, AI assistants within WhatsApp), OpenAI might face indirect competition for user attention in the AI assistant space.
  • Microsoft: Microsoft is a unique player in that it’s both a partner and an investor in OpenAI, while also being an AI competitor in its own right. Microsoft has a deep footprint in India – from its long-standing R&D centres (Microsoft Research India) to its cloud datacenters and enterprise sales force. Through the OpenAI partnership, Microsoft has integrated GPT-4 into Bing (search) and its Office 365 Copilot products, some of which target the same end-users and enterprises that OpenAI does. In India, Microsoft is aggressively marketing its AI-powered cloud services and has announced a multibillion-dollar investment to expand cloud and AI infrastructure locally. This benefits OpenAI (because Azure cloud powers OpenAI services) but also means Microsoft-controlled offerings might overshadow OpenAI’s own brand. However, rather than head-to-head competition, the relationship is symbiotic: OpenAI’s success drives Microsoft Azure usage, and Microsoft’s reach brings OpenAI technology to many Indian enterprises and developers. The competitive angle comes in via other AI firms – Google Cloud or Amazon – which might promote alternative AI models to Indian businesses. OpenAI, with Microsoft’s backing, will want to secure key partnerships in India’s corporate and startup sector before these rivals do. In essence, OpenAI’s presence in India complements Microsoft’s strategy, and together they stand against other ecosystems. The challenge will be ensuring OpenAI maintains its distinct identity and developer community in India, and isn’t seen merely as an extension of Microsoft.
  • Indian Players: India’s domestic tech companies are also entering the AI fray, either as collaborators or competitors. Major IT services companies (like TCS, Infosys, Wipro) have launched generative AI platforms or practices, often partnering with global AI firms including OpenAI. These partnerships mean Indian companies are more allies than direct competitors – for example, an IT firm might implement OpenAI solutions for its clients. The more intriguing competition could come from Indian startups and public sector projects. A number of startups in India are building AI solutions tailored to local needs – some developing their own models especially for Indian languages and domains. The government-backed AI supercomputing and language model projects (under IndiaAI) could also produce open, large language models that are freely available in India’s vernacular languages. If successful, such models could be adopted by state agencies or startups instead of proprietary models like OpenAI’s. For instance, if an open Indian model is deemed safer with local data (or mandated for government use), OpenAI would have to compete on the quality and trust of its outputs.

Additionally, companies like Baidu or other international AI firms are not present due to geopolitics (China’s Baidu/Alibaba AI likely won’t enter India), but open-source communities fill that space. Indian developers are enthusiastically embracing open-source AI models – an article notes Indian AI startups often prefer smaller open models they can tweak without restrictions. To stay competitive, OpenAI might consider more openness or at least free tiers (which it has via the basic ChatGPT) to keep developers from migrating to completely open alternatives.

In the face of these dynamics, OpenAI’s competitive positioning in India will rely on a few key strengths: technological leadership, localisation, and ecosystem integration. Its GPT series models are regarded as industry-leading in many tasks – maintaining that edge with future versions (GPT-5 and beyond) will make sure that even if rivals offer free plans, serious users see value in OpenAI’s superior performance. Localisation means ensuring its AI works well for Indian users – understanding Indian languages, names, nuances, and complying with local norms – to offer an experience that overseas competitors might not match. And ecosystem integration involves the partnerships and community efforts discussed earlier, so that OpenAI becomes woven into the fabric of India’s tech landscape (via academies, events, startup support), making it harder for a competitor to displace.

It’s worth noting that competition will likely benefit Indian consumers and businesses through better offerings and pricing. We already see this effect: rivals like Perplexity.ai (a startup offering an AI chatbot) made their advanced plans free for users in India, responding to the interest that ChatGPT generated. Google’s Bard is free as well. OpenAI’s introduction of a low-priced plan can be seen as a result of these competitive pressures and the unique price-sensitive nature of the Indian market. Going forward, one can expect a healthy rivalry where each player introduces new features (multimodal capabilities, plugins, local language support) and possibly competitive pricing to win Indian users. OpenAI will need to keep innovating and perhaps collaborating (for example, with Indian telecom providers or smartphone makers for distribution) to maintain its lead.

OpenAI’s expansion into India is a bold and strategic move that could significantly influence the trajectory of AI development in the country. The new OpenAI India office serves as a bridge – connecting one of the world’s most advanced AI innovators with one of the world’s largest tech-savvy populations. The strategic drivers are clear: a massive user base, abundant talent, supportive policies, and the chance to shape an emerging market. The impacts are poised to be profound, potentially accelerating India’s AI ecosystem growth and making AI more ubiquitous across industries and society. Indian developers and professionals stand to gain through new opportunities and resources, even as they face the exciting challenge of competing at a global level.

OpenAI’s presence will also test how nimble the company is in adapting to local contexts and regulations – a necessary evolution as AI goes truly global. Finally, in the competitive landscape, OpenAI in India will spar (and collaborate) with the tech world’s biggest names and homegrown innovators, all to the benefit of end users who will enjoy more choice and innovation. As OpenAI itself has expressed, this expansion is just a “first step”. The coming years will reveal how that step turns into a journey of co-creating AI with India and for India, and by extension, for the broader world that can learn from India’s example.