Sam Altman says ‘25-year-olds in Mumbai or Bengaluru have never had more power,' shares bold vision for the future on Nikhil Kamath's podcast
OpenAI chief Sam Altman believes it is the best time to start a career. He says AI tools like GPT-5 can help young Indians. It can assist in software, customer support, and marketing. Altman notes India's enthusiasm for AI transformation. He emphasizes that AI creates an open canvas. He also hopes family and community will regain importance.
OpenAI CEO Sam Altman believes young Indians are entering the workforce at the most exciting time in history, thanks to AI. Speaking on Nikhil Kamath's podcast, Altman highlighted AI's potential to level the playing field, enabling individuals to achieve more with fewer resources. (Image: Screenshots/YouTube) When Zerodha co-founder Nikhil Kamath asked Sam Altman to imagine the life of a 25-year-old in Mumbai or Bengaluru, the OpenAI chief did not hesitate. For Altman, this is not just a good time to be starting out — it may be the best moment in history. Speaking on Kamath's WTF podcast, Altman painted an optimistic picture of what artificial intelligence means for young Indians entering the workforce. 'I think this is probably the most exciting time to be starting out one's career, maybe ever,' he said, according to the show's transcript.
Altman believes today's 25-year-old can achieve what once took decades of experience or large teams. Whether in programming, media creation, or entrepreneurship, tools like OpenAI's latest GPT-5 can act as a co-founder, strategist, and operations team rolled into one. 'You could use GPT-5 to help you write the software for a product, handle customer support, draft marketing plans, even review legal documents,' he explained. 'All of these things that once required a lot of expertise, you now have AI to help you do.' For India specifically, Altman sees huge potential. 'If there is one large society in the world that seems most enthusiastic to transform with AI right now, it's India,' he told Kamath, praising the entrepreneurial energy and rapid adoption of AI-driven tools. He added that Indian user feedback has already shaped OpenAI's products.
Altman stressed that the AI era is an 'open canvas,' where constraints are fewer than ever before and creativity becomes the main differentiator. For young founders, that means the ability to launch ambitious projects with minimal resources. For those seeking jobs, it opens pathways into industries like science, software development, and emerging media, where AI accelerates what individuals can produce. The conversation took a personal turn when Kamath asked Altman about parenthood. Describing it as 'the coolest, most amazing, most emotionally overwhelming experience,' Altman said starting a family has been more fulfilling than he imagined. He also shared a broader societal view: in a post-AGI world, family and community should regain importance. 'It's a problem for society that those things have been in retreat,' he said, expressing hope that with more abundance and time, people will turn back to what makes them happiest. Altman's message to a hypothetical 25-year-old in Mumbai or Bengaluru was clear: the world is in a rare moment where technology amplifies individual capability to unprecedented levels. With AI as a partner, opportunities are no longer limited by geography or resources — they're limited only by the boldness of one's ideas.
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These early implementations reveal several crucial success factors: Ethical boundaries: Effective educational AI must be programmed to refuse requests that undermine learning integrity. This isn't just content filtering—it requires AI systems designed with educational principles at their core. Faculty integration: Success requires AI tools that complement rather than replace instructors. The most effective implementations support teachers by helping students engage more meaningfully with course material. Student preparation: When properly introduced to these tools, students quickly adapt to using AI as a collaborative thinking partner rather than a homework completion service. The technology behind thinking Creating effective AI tools for critical thinking requires careful consideration of both technical and pedagogical factors. 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High school students use advanced critical thinking tools that support research, argumentation, and complex problem-solving. Higher education: Undergraduate programs use AI tools that facilitate deep learning in specific disciplines while maintaining academic integrity. Graduate students work with research-focused AI that helps develop original thinking and methodology. Professional schools employ AI tools that simulate real-world problem-solving scenarios and ethical decision-making. Corporate training: Leadership development programs use AI tools that challenge assumptions and facilitate strategic thinking. Technical training incorporates AI that guides learners through complex problem-solving processes. Compliance training features AI that helps employees think through ethical scenarios and regulatory requirements. Measuring success beyond test scores Traditional educational metrics—standardized test scores, grade point averages, and completion rates—may not capture the full impact of AI tools designed for critical thinking. These conventional measures often emphasize knowledge retention and procedural skills rather than the deeper cognitive abilities that Socratic AI aims to develop. Instead, institutions are pioneering new assessment approaches that evaluate the quality of thinking itself, recognizing that the most important educational outcomes may be the least visible on traditional report cards. Depth of questioning: Educational researchers are tracking whether students' progress from surface-level inquiries to more sophisticated, multi-layered questions that demonstrate genuine curiosity and analytical thinking. 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New rubrics assess the strength of evidence selection, the logical flow of reasoning, and students' ability to anticipate and address potential objections to their positions. This approach values the process of building an argument as much as the final conclusion, recognizing that strong reasoning skills transfer across all academic and professional contexts. Transfer or learning: Perhaps the most crucial indicator of educational success is students' ability to apply critical thinking skills across different subjects, contexts, and real-world situations. Assessment tools now track whether a student who learns analytical techniques in history class can apply similar reasoning to scientific methodology, business case studies, or personal decision-making. Educators observe whether students recognize patterns and principles that span disciplines, such as understanding how statistical reasoning applies equally to social science research and medical diagnosis. This transfer capability indicates that students have internalized thinking processes rather than merely memorized subject-specific content. Metacognitive awareness: Advanced educational assessment now includes measures of students' consciousness about their own thinking processes—their ability to recognize when they're making assumptions, identify their own knowledge gaps, and select appropriate strategies for different types of problems. Students demonstrating strong metacognitive awareness can articulate their reasoning process, explain why they chose particular approaches, and self-assess the strength of their conclusions. They become skilled at asking themselves questions like 'What evidence would change my mind?' or 'What assumptions am I making that I should examine?' This self-awareness transforms students into independent learners capable of continuous intellectual growth. Intellectual humility: Modern assessment recognizes intellectual humility—the willingness to revise views when presented with compelling evidence—as a crucial indicator of educational maturity. Rather than rewarding students for defending initial positions regardless of new information, evaluation systems now value intellectual flexibility and evidence-based reasoning. Students demonstrating intellectual humility acknowledge the limits of their knowledge, seek out disconfirming evidence, and show genuine curiosity about alternative perspectives. They express confidence in their reasoning process while remaining open to new information that might refine or change their conclusions. Collaborative problem solving: New assessment approaches also evaluate students' ability to engage in productive collaborative thinking, building on others' ideas while contributing unique perspectives. These measures track whether students can synthesize diverse viewpoints, facilitate group inquiry, and help teams navigate disagreement constructively. Long-term impact tracking: Some institutions are implementing longitudinal studies that follow graduates to assess how AI-enhanced critical thinking education influences career success, civic engagement, and lifelong learning habits. These studies examine whether students who experienced Socratic AI education demonstrate superior problem-solving abilities, greater adaptability to changing professional demands, and more effective leadership skills in their post-graduation lives. Portfolio-based assessment: Rather than relying on isolated examinations, innovative institutions are developing portfolio systems that document students' thinking evolution over time. These portfolios include reflection essays, problem-solving process documentation, peer collaboration records, and evidence of intellectual growth across multiple contexts, providing a comprehensive picture of educational development that single assessments cannot capture. Challenges on the horizon The transformation faces significant hurdles. Technical challenges include developing AI capable of sophisticated educational dialogue while ensuring consistent ethical behaviour across diverse contexts. Creating tools that adapt to individual learning needs while maintaining privacy and security presents ongoing difficulties. Institutional challenges include faculty resistance to new technologies, concerns about AI replacing human instruction, budget constraints, and the need for comprehensive training systems. Students themselves may initially resist AI that doesn't provide immediate answers, requiring a learning curve to engage effectively with Socratic AI tools. The digital divide also poses concerns about equitable access to these advanced educational technologies. The future of AI-enhanced learning As AI tools become more sophisticated, several transformative developments are anticipated that will reshape the educational landscape: Personalised learning pathways: The next generation of AI will create unprecedented levels of educational customization. These systems will continuously analyse how individual students learn best, identifying optimal pacing, preferred explanation styles, and effective motivational approaches. For instance, a student struggling with mathematical concepts might receive visual representations and real-world applications, while another excels with abstract theoretical frameworks. AI will also map knowledge gaps in real-time, creating adaptive learning sequences that address weaknesses while building on strengths. This personalization extends beyond academic content to include emotional and social learning, with AI recognizing when students need encouragement, challenge, or different types of support. Cross-curricular integration: Future AI systems will excel at helping students discover connections between seemingly unrelated subjects, fostering the interdisciplinary thinking essential for solving complex modern problems. Students studying climate change, for example, will be guided to see connections between chemistry, economics, political science, and ethics. AI will prompt questions like 'How might the economic principles you learned in your business class apply to environmental policy?' or 'What historical patterns can inform our understanding of social responses to scientific challenges?' This approach mirrors how real-world problems require integrated knowledge from multiple disciplines, better preparing students for careers that demand versatile thinking. Real-world problem solving: AI will increasingly facilitate engagement with authentic, complex challenges that mirror those professionals face in their careers. Rather than working with simplified textbook problems, students will tackle genuine issues like urban planning dilemmas, public health crises, or technological implementation challenges. AI will guide students through the messy, non-linear process of real problem-solving, helping them navigate ambiguity, consider multiple stakeholders, and develop practical solutions. These experiences will develop not just critical thinking skills, but also resilience, creativity, and the ability to work with incomplete information—capabilities essential for success in rapidly changing careers. Global collaboration: AI tools will break down geographical and cultural barriers, enabling students from different countries and educational systems to collaborate on shared learning experiences. These platforms will facilitate cross-cultural dialogue while helping students understand different perspectives on global issues. AI will serve as a cultural translator and mediator, helping students from diverse backgrounds communicate effectively and learn from their differences. Virtual exchange programs powered by AI will allow students to engage in joint research projects, debate global challenges, and develop the international competency increasingly valued in the modern workforce. Adapting assessment and feedback: Future AI systems will revolutionize how learning is assessed, moving beyond traditional testing to continuous, contextual evaluation. These tools will observe student thinking processes during problem-solving, providing insights into reasoning patterns, misconceptions, and growth areas. Assessment will become a learning opportunity itself, with AI offering immediate, specific feedback that guides improvement rather than simply measuring performance. Emotional intelligence development: Advanced AI will recognize and respond to students' emotional states, helping develop crucial soft skills alongside academic knowledge. These systems will guide students through collaborative exercises, conflict resolution, and empathy-building activities, preparing them for leadership roles in increasingly complex social environments. Lifelong learning support: As careers become more dynamic and require continuous skill updating, AI learning partners will evolve alongside learners throughout their professional lives. These systems will help professionals identify emerging skill needs, design learning paths for career transitions, and maintain intellectual curiosity across decades of changing work environments. A pedagogical revolution The transformation of AI from answer engine to thinking partner represents more than a technological shift—it's a pedagogical revolution. In an era where information is abundant but understanding is scarce, AI tools that prioritize depth over speed may be essential for developing the critical thinking skills students need for success in an increasingly complex world. Educational technology leaders note that institutions are at a critical juncture in AI implementation. The early success of Socratic AI implementations demonstrates that technology can enhance rather than undermine educational goals when designed with learning principles at its core. As more institutions experiment with these approaches, AI is poised to become an indispensable partner in developing the critical thinking skills that define educated, engaged citizens. The challenge now is to scale these innovations thoughtfully, ensuring that AI tools remain true to their educational mission while becoming accessible to learners across all contexts. The journey from AI as a shortcut to AI as a thinking partner is just beginning. For educators, technologists, and policymakers, the opportunity to shape this transformation represents one of the most important challenges—and opportunities—of our time. The future of education may well depend on our ability to develop AI that makes students think harder, not less. This article is based on research and implementations from leading educational institutions including Northeastern University, the London School of Economics, and Champlain College, as well as analysis of emerging AI tools in classroom settings and educational technology research. (The author is retired professor at IIT Madras)
