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OpenAI’s chief executive Sam Altman delivered a candid message to students at the Indian Institute of Technology Delhi, telling them that conventional career guidance may be of limited value as artificial intelligence reshapes the world of work. Speaking at an interactive session in Dogra Hall, Altman said that younger generations will have to trust their own instincts and adapt to fast-changing technological landscapes rather than relying on established rules or advice from older generations. His remarks underscored a broader debate about how work, education and ambition will evolve alongside accelerating AI developments.

Addressing a packed audience, Altman said that the “biggest mistake young people make” is listening too closely to traditional wisdom on careers passed down by their elders. He acknowledged that even he did not claim to have a firm grasp on the pace of change, urging students to cultivate independent judgment and flexibility instead. “For a predictor of what the world is going to be like going forward, I don’t think you should trust me for having good intuition of the rate of change,” he said, emphasising that those entering the workforce must be prepared to navigate uncertainty and disruption.

Altman’s comments reflected a growing consensus among technology leaders that the job market and the nature of work are undergoing fundamental transformation as generative AI and automation systems become more capable. Traditional professions that once seemed secure are being rethought, while new categories of employment linked to AI development, oversight and ethical deployment are emerging. Altman’s view was echoed elsewhere at global forums where he and other AI leaders have stressed the need for adaptability, lifelong learning and creative problem-solving.

During the session at the institute, Altman clarified that while parents and mentors remain important for personal values, their career advice – rooted in past paradigms – may not offer reliable direction amid rapid technological shifts. He said young people must develop what he called “agency,” a capacity to shape their own paths, learn from failure and recalibrate as conditions evolve. “Young people always figure this out best,” he told the students, highlighting the creative energy he sees in younger cohorts.

Altman also acknowledged that the rise of artificial intelligence will entail changes in employment structures, with some roles becoming obsolete even as new opportunities are created. He stressed that preparing for the future will require calculated risk-taking and an openness to reinventing career plans rather than adhering to criteria like stability and predictability alone. His advice resonated with students grappling with how to position themselves in a world where AI tools are becoming deeply integrated into industries from healthcare to finance.

Reactions to Altman’s remarks have been varied. Some students and observers praised his emphasis on independent thought and adaptability, seeing it as realistic guidance for navigating disruption. Others questioned whether the message might undermine confidence in tried-and-tested pathways into professions such as engineering, medicine and law that have long been valued for stability and societal contribution. This tension illustrates the broader uncertainty about how best to prepare for a future shaped by rapid technological evolution.

Altman’s visit to the institute took place against the backdrop of major international discussions about the role of artificial intelligence in economic and social life. In New Delhi last month, global tech leaders and policymakers gathered for a major AI summit focused on collaboration, governance and responsible innovation. Altman’s remarks at IIT Delhi dovetail with themes emerging from those dialogues, where experts have called for societies to rethink education systems, regulatory frameworks and workforce strategies to accommodate profound shifts driven by AI capabilities.

His message to students also reflects a generational contrast in attitudes towards technology and opportunity. Younger people, he suggested, have an inherent advantage when it comes to understanding and experimenting with emerging tools and platforms. As AI becomes more pervasive, Altman said, those who can integrate machine intelligence with human creativity and judgement will be best positioned to thrive, even as older models of career guidance lose relevance.

SINGAPORE – Media OutReach Newswire – 24 February 2026 – In the wake of Budget 2026 and Prime Minister Lawrence Wong’s announcement of a National AI Council to accelerate mission-driven artificial intelligence deployment, EtonHouse International Education Group has collaborated with OpenAI to roll out ChatGPT Edu across its global education network, establishing a secure, enterprise-grade AI workspace designed to strengthen governance, operational excellence and institutional capability.

The implementation spans the Group’s schools and education brands, including EBridge Pre-School, an Anchor Operator, extending AI integration beyond classroom experimentation into enterprise-wide infrastructure supporting operations, marketing and admissions, finance, human resources, school administration and technology development.

While education was not named among the initial priority sectors identified under Singapore’s national AI strategy, EtonHouse views schools as foundational to building long-term AI capability and literacy across society.

Governance-led AI deployment

The rollout has been structured around enterprise governance principles. Access is managed through role-based access controls, single sign-on authentication and automated provisioning, ensuring that AI tools and information remain aligned to defined job responsibilities and permission boundaries.

ChatGPT Edu operates within a centrally managed internal workspace governed by consistent policies across the Group. External sharing and third-party integrations are enabled only where explicitly approved and aligned with business requirements, reinforcing a secure and compliant AI environment.

This governance-first approach reflects a deliberate shift from isolated experimentation to structured, scalable adoption.

From classroom innovation to enterprise infrastructure

EtonHouse previously developed Lumina, its proprietary AI-powered lesson planning platform. The deployment of ChatGPT Edu represents the next phase of integration, extending advanced artificial intelligence capabilities into enterprise functions.

Within the secure workspace, teams can upload documents for structured analysis, generate comparative reports, conduct scenario modelling and retrieve institutional knowledge more efficiently. Technology teams are also leveraging Codex, OpenAI’s agentic coding tool, to enhance development workflows, supporting code drafting, review and testing while maintaining human oversight and established engineering standards.

The Group is concurrently developing internal AI assistants and structured workflows within defined governance parameters to streamline routine processes and standardise how knowledge is accessed and applied across departments.

Augmentation, not replacement

EtonHouse emphasises that artificial intelligence is being implemented as an augmentation layer rather than a substitute for professional judgement.

“Artificial intelligence is not a shortcut or a replacement technology. It is a learning infrastructure,” said Mr Ng Yi-Xian, Group CEO of EtonHouse International Education Group. “We are developing tools that help students learn more confidently, support teachers to plan and differentiate more effectively, and equip HQ teams to serve schools faster and with higher quality. AI should amplify good practice, not replace it, so we are building the governance and capability to deploy it responsibly at scale.”

The rollout will be supported by structured staff training alongside OpenAI experts clear usage guidelines and ongoing oversight to ensure transparency, responsible usage and alignment with internal policies and regulatory obligations.

“As Singapore advances its national AI ambitions, many institutions are working to bridge the gap between rapidly advancing AI technologies and their ability to deploy them effectively and responsibly. EtonHouse’s rollout of ChatGPT Edu shows how forward-thinking education organisations can translate AI into practical, trusted enterprise-wide systems that empower teams today, while building confidence for the long-term.” added Oliver Jay, Managing Director, International at OpenAI.

Education’s role in Singapore’s AI future

Budget 2026 outlined the formation of a National AI Council to guide coordinated deployment across priority sectors including advanced manufacturing, connectivity, finance and healthcare.

EtonHouse’s implementation reflects how education institutions can apply similar principles of governance, security and enterprise readiness, positioning schools not only as adopters of technology but as contributors to Singapore’s broader AI capability building.

With this move, EtonHouse signals a transition from exploratory AI usage to secure, scalable integration across its global network, reinforcing its commitment to innovation anchored in institutional discipline and responsible deployment.

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The issuer is solely responsible for the content of this announcement.

About EtonHouse International Education Group

In 2015, the EtonHouse Community Fund (ECF) was established, dedicated to enhancing the lives of underserved children and youth through education.

The Eton Academy was launched in 2020, providing English, Maths, and Science academic programmes for Nursery 1 to Primary 6 in centres across the island. Building on this success, The Eton Academy expanded in 2025 with the introduction of Elevate After School Care, offering primary school children a holistic, well-rounded after-school experience that complements their academic development.

EtonHouse International Education Group remains unwavering in its commitment to shaping futures and making a meaningful impact on the world through education.

Tata Group, Tata Consultancy Services and OpenAI unveiled a landmark strategic partnership that aims to redefine the landscape of artificial intelligence deployment across enterprise, infrastructure and workforce development. With a multi-year agreement signed at a major AI summit in New Delhi, the collaboration is centred on building out AI infrastructure in India, rolling out Enterprise ChatGPT to thousands of employees and co-creating industry-tailored AI solutions.

Under the pact, TCS’ HyperVault unit will lead the development of large-scale AI-ready data centres, starting with an initial capacity of about 100 megawatts of power and a roadmap to scale to 1 gigawatt. OpenAI is anticipated to become the first anchor customer for this infrastructure, supporting advanced AI computation and inference workloads within the country.

Central to the partnership is the deployment of Enterprise ChatGPT across Tata Group companies, designed to enhance productivity and accelerate innovation within one of India’s largest conglomerates. Thousands of employees are set to receive access to the enterprise version of the generative AI platform, enabling broader internal adoption of AI tools for knowledge work and decision support.

Beyond productivity tools, the alliance will explore the development of “agentic” AI solutions that combine OpenAI’s cutting-edge models with TCS’ industry knowledge and engineering capabilities. This approach aims to address complex sector-specific challenges across fields such as manufacturing, financial services and healthcare, rather than offering generic AI applications.

OpenAI’s CEO Sam Altman positioned the collaboration as part of a larger initiative to expand the company’s footprint and capabilities in emerging markets like India, where demand for AI services and local data processing is accelerating. He emphasised the need for robust infrastructure and local partnerships to scale AI responsibly and securely.

Tata Sons Chairman N. Chandrasekaran described the partnership as a cornerstone in the group’s wider AI strategy, underscoring its potential to strengthen both domestic capacity and global competitiveness. The agreement aligns with TCS’ ambition to become a leading AI-driven technology services provider on the world stage, building on its existing HyperVault platform and ongoing investments in state-of-the-art data centres.

Financial markets reacted positively to the announcement, with TCS shares rising after the news broke, reflecting investor confidence in the company’s expanded role in AI infrastructure build-out and its position as a strategic partner to global AI developers.

The infrastructure element of the partnership places a strong emphasis on scalability and sustainability. TCS’ HyperVault facilities are designed to support liquid-cooled, high-density data environments that can handle the demanding computational needs of generative AI models, while also integrating with major cloud regions for broader interoperability.

A social impact component is woven into the alliance through plans to collaborate with the OpenAI Foundation to deliver AI training programmes for youth and underserved communities, equipping individuals with skills to engage with emerging technologies responsibly. The initiative aims to develop a pipeline of talent capable of contributing to the wider AI ecosystem.

This partnership comes amid a broader surge in investment and strategic alignments between global AI firms and Indian technology leaders, as the country seeks to position itself as a competitive hub for innovation and data infrastructure. Industry observers note that similar efforts by other major tech players to localise AI capabilities reflect a global trend towards data residency, regulatory compliance and sovereign control over critical AI workloads.

Critics caution that the rapid expansion of AI infrastructure must be balanced with robust governance frameworks to address concerns around data security, ethical use and labour market disruption. Analysts argue that while the partnership promises substantial gains in efficiency and capability, clear policies and oversight mechanisms will be crucial to ensure equitable benefits across society.

By Nantoo Banerjee The global AI impact summit 2026 in Delhi, last week, couldn’t have come at a more appropriate time when the world continues to be somewhat skeptical about adoption of Artificial Intelligence (AI), its limitations and potential consequences. Thanks to the pioneering effort by firms such as Nvidia, Microsoft, Google, Amazon, Meta and […]

The article India Should Adopt ‘Trustworthy’ AI Tools To Stay Safe And Transparent appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

By T N Ashok At the center of Bharat Mandapam, the chiselled, lotus-shaped convention complex that has become the theatre for India’s global ambitions, Prime Minister Narendra Modi stood for a “family photo” that looked less like a diplomatic formality and more like a merger of Silicon Valley and the Westphalian order. To his left […]

The article India Positions Itself As The AI World’s Third Pole Under PM Modi’s Active Leadership appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

OpenAI has announced a sweeping expansion of its global education strategy by forging deep partnerships with a group of India’s most influential higher education institutions to embed artificial intelligence tools, training and research into campus life and academic workflows. The initiative, unveiled in New Delhi this week, aims for institutional transformation by offering enterprise-grade AI access and structured integration support across disciplines including engineering, management, health sciences and creative industries.

The programme brings together six premier universities — Indian Institute of Technology Delhi, Indian Institute of Management Ahmedabad, All India Institute of Medical Sciences New Delhi, Manipal Academy of Higher Education, University of Petroleum and Energy Studies and Pearl Academy — under a coordinated effort to build AI fluency and responsible usage skills for students, faculty and staff. The roll-out will provide secure access to ChatGPT Edu, detailed onboarding programmes, faculty training and discipline-specific implementation guidance aligned with institutional policies.

This shift marks a deliberate departure from ad-hoc access to consumer AI tools toward embedding artificial intelligence as an academic backbone to teaching, research, evaluation and campus operations. OpenAI’s Head of Education for India and Asia Pacific, Raghav Gupta, said the collaboration reflects a broader need to close the gap between what AI tools are capable of and how they are actually used. He referenced projections that by 2030 a significant portion of core skills relied upon by workers globally will be redefined by AI, underscoring the urgency for deep institutional readiness.

At IIT Delhi, the partnership will focus on engineering-led innovation and applied research, integrating AI capabilities into project-based learning, coding, simulations and prototype development. The institute also plans OpenAI-supported hackathons and ‘Industry Days’ designed to link student innovation with India’s manufacturing and deep-technology ecosystem. IIM Ahmedabad intends to embed AI fluency into core management education — spanning strategy, finance, operations and public policy — with scope for certification pathways backed by the collaboration.

All India Institute of Medical Sciences New Delhi is positioning AI as a tool for medical education and clinical training, exploring applications in clinical documentation, simulation-based learning and evidence synthesis. Officials at the institute said prioritising safe, ethical deployment of AI in clinical settings will be critical to maintaining educational and professional standards. Manipal Academy of Higher Education will pursue multidisciplinary AI literacy across engineering, health sciences and business programmes, while UPES and Pearl Academy will tailor integration to applied innovation and creative workflow environments respectively.

OpenAI’s strategy extends beyond campuses to partnerships with major education technology platforms, including upGrad, PhysicsWallah and HCL GUVI. These collaborations aim to launch structured courses on AI fundamentals and practical ChatGPT applications targeting students and early-career professionals who are not formally enrolled in partner institutions. The move reflects a growing industry recognition that AI skills must be scaled across the broader learner base, not just within elite universities.

Experts in education and technology policy see this initiative as part of a larger global trend where leading artificial intelligence firms are moving from consumer-oriented models toward institutional engagement that shapes long-term adoption and usage norms. By embedding AI literacy into the frameworks of higher education, these alliances could influence curriculum design, research priorities and the preparation of graduates for an AI-driven economy.

Industry analysts note that India’s higher education system represents one of the world’s largest talent markets, with millions of students entering the workforce each year. Integrating advanced AI tools into academic settings could enhance learning outcomes, deepen research capacity and create new pathways for innovation across sectors. However, some critics caution that rapid adoption must be matched with robust ethical and governance frameworks to address concerns around data privacy, academic integrity and equitable access to technology.

While OpenAI estimates that this phase of the initiative will directly benefit over 100,000 students, educators and administrators across its core partner institutions over the coming year, independent observers emphasise that the broader impact will depend on how well universities and ed-tech partners can operationalise the technology within existing academic structures. They point to the need for ongoing investment in faculty development, infrastructure and policy frameworks that ensure AI augments rather than disrupts pedagogical goals.

This milestone reflects not just a vast user base but also a distinct pattern of adoption: students in India now represent the largest single demographic of ChatGPT users worldwide, according to Altman, who highlighted the role younger generations are playing in embedding generative AI into daily workflows for learning and productivity.

The 100 million figure forms a significant share of ChatGPT’s global weekly active user count, which stood at about 800 million as of October 2025 and is widely projected to edge closer to 900 million as platforms refine their offerings and expand reach. OpenAI’s decision to open an office in New Delhi in August 2025 and tailor pricing, including a lower-cost subscription tier later made free for a year, is seen as part of a strategy to deepen engagement in what many technology firms regard as a key growth market.

Altman underscored India’s demographic advantages, including a population exceeding one billion internet users and a large proportion of English speakers outside native English-speaking countries — factors that have made the country fertile ground for generative AI adoption. Many students have turned to ChatGPT for support with research, coding, examination preparation and language practice, reflecting a broader trend of digital tools being woven into educational routines.

Despite this surge, translating sheer user numbers into sustained economic returns poses challenges for AI firms. India’s price-sensitive market and uneven internet access complicate monetisation, causing some companies to adjust their strategies to balance affordability with revenue generation. OpenAI’s tailored pricing and promotional offers have helped lower entry barriers, but broader monetisation across emerging markets may require further innovation in business models.

The competitive landscape in India’s AI space is intensifying. Alphabet’s Google has made inroads with its Gemini AI suite, aggressively targeting younger users through free one-year subscriptions and partnerships with telecom firms to broaden adoption among students and professionals. These efforts are part of a broader contest among technology giants to capture share in a market that has vast potential due to its size and digital engagement.

The presence of global tech leaders and politicians at the New Delhi summit highlights the geopolitical and economic significance of India’s AI trajectory. Policy discussions span topics from responsible AI governance and equitable access to scaling infrastructure and boosting domestic innovation capacity. Indian policymakers, alongside industry executives, are advocating approaches that leverage technology to enhance education, public services and economic participation, while grappling with concerns over job displacement and digital divides.

Altman has outlined priorities for fostering inclusive AI growth in India, emphasising the need for practical digital literacy, robust computing infrastructure and frameworks that ensure ethical deployment. Such an approach, he argues, will empower users to harness AI’s potential effectively rather than just expanding access to tools.

The prominence of India’s student base on ChatGPT has broader implications for how AI products are developed and tailored. Feedback from a large and diverse user community helps shape feature enhancements and localisation efforts, influencing global development roadmaps. For companies like OpenAI, this dynamic underscores a strategic shift from traditional markets in Europe and North America toward regions where usage patterns reflect unique demographic and cultural needs.

Debjani Ghosh, who leads Anthropic’s operations and policy engagement in India, said the scale of adoption by developers, enterprises and start-ups has placed the country just behind the United States in terms of usage and integration of Claude’s models. She described India as a “strategic growth engine” for the company, citing strong demand from sectors including financial services, healthcare, education and software development.

Anthropic, founded in 2021 by siblings Dario Amodei and Daniela Amodei, has positioned Claude as a competitor to models from OpenAI and Google. The company has attracted substantial backing from Amazon and Google, with Amazon committing up to $4 billion as part of a strategic partnership to integrate Claude into Amazon Web Services infrastructure. The funding has enabled Anthropic to expand globally, with India becoming a focal point due to its developer base and digital economy.

India’s prominence in the AI adoption cycle reflects broader structural factors. The country has one of the world’s largest pools of software engineers, a fast-growing start-up ecosystem, and a government push towards digital public infrastructure. Enterprises across banking and fintech have begun embedding generative AI tools to automate compliance checks, summarise documents and enhance customer interaction. In healthcare, pilot projects are under way to use AI systems for clinical documentation and triage support, while education technology platforms are deploying AI-driven tutoring tools.

Ghosh indicated that India’s market dynamics differ from those of Western economies. Cost sensitivity and the need for scalable deployment across diverse languages and devices have shaped how enterprises experiment with large language models. Claude’s emphasis on constitutional AI — a framework designed to make outputs safer and more aligned with human values — has resonated with corporate clients concerned about regulatory risk and reputational exposure.

Regulatory considerations are central to the AI conversation in India. The Ministry of Electronics and Information Technology has signalled its intent to craft a framework that balances innovation with safeguards against misinformation, bias and misuse. While India has not enacted a standalone AI law, policy discussions have intensified around data governance and algorithmic accountability. Companies operating in the country must also comply with the Digital Personal Data Protection Act, which imposes obligations on data fiduciaries and processors.

Industry analysts note that India’s large English-speaking population has historically accelerated the adoption of global technology platforms. However, the next phase of growth in AI is expected to depend on multilingual capabilities. Claude’s ability to handle multiple languages is seen as an advantage in a country with 22 constitutionally recognised languages and hundreds of dialects. Developers are increasingly testing generative models for vernacular content generation and customer support.

Competition in the Indian market is intensifying. OpenAI’s ChatGPT has built a strong user base, while Google has integrated its Gemini models into productivity tools and cloud services. Domestic start-ups are also entering the field, building foundation models trained on local datasets. Analysts say that enterprise adoption, rather than consumer usage alone, will determine long-term market leadership.

Anthropic’s expansion strategy in India includes partnerships with cloud providers and enterprise software companies. By leveraging Amazon Web Services’ presence in major Indian cities, Claude is being offered as part of broader digital transformation packages. Ghosh emphasised that collaboration with academic institutions and start-up incubators is another priority, with the aim of fostering responsible AI research and skills development.

The rapid uptake of generative AI has also raised concerns. Experts warn of the risks of hallucinations, data leakage and overreliance on automated systems. In financial services, regulators have cautioned against using AI outputs without human oversight. Cybersecurity specialists highlight the potential for AI tools to be misused for phishing or deepfake generation. Anthropic has sought to address such issues by embedding guardrails into its models and conducting external safety evaluations.