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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.

Producer prices in the Republic of Korea rose for a fifth straight month in January, driven by firmer semiconductor prices and higher agricultural costs, according to central bank data that point to lingering pipeline inflation pressures in Asia’s fourth-largest economy.

Figures released by the Bank of Korea showed the producer price index increased on both a monthly and annual basis, extending a run of gains that began in early autumn. Officials attributed the latest rise largely to a rebound in memory chip prices and elevated food-related costs, reflecting supply constraints and weather-related disruptions.

Semiconductors, a cornerstone of the country’s export-led economy, played a decisive role. Prices for key memory products, including DRAM and NAND flash, strengthened as global demand for data centres and artificial intelligence applications continued to absorb inventories. After a prolonged downturn that weighed on manufacturing output through 2023, chipmakers have benefited from tighter supply and renewed investment in high-performance computing, pushing upstream prices higher.

Industry analysts say the upturn in chip prices has filtered through supply chains, lifting overall producer prices even as energy costs have remained comparatively stable. Manufacturing accounts for a substantial share of Korea’s producer basket, meaning swings in technology components can exert an outsized influence on headline figures.

Agricultural products also recorded notable gains. Unfavourable weather conditions and higher input costs contributed to increases in fruit, vegetable and livestock prices. Food-related producer costs are closely watched because they can pass through to consumer prices with a lag, particularly in a country where household spending on fresh produce forms a visible part of the inflation basket.

The latest data suggest cost pressures remain uneven across sectors. While energy prices have moderated from peaks seen after geopolitical disruptions in global oil and gas markets, certain industrial materials and processed foods have shown persistent firmness. Service-sector producer prices, including transport and logistics, have also edged higher, reflecting wage adjustments and operating expenses.

Economists note that sustained increases in producer prices can eventually feed into consumer inflation, although the transmission is neither automatic nor immediate. Consumer price growth has eased from multi-year highs reached in 2022, but remains sensitive to food and housing costs. The central bank has kept its benchmark interest rate at a restrictive level since early 2023 in a bid to anchor inflation expectations and support financial stability.

Policy deliberations in Seoul have balanced the need to contain price pressures against concerns over slowing domestic demand and household debt. Export performance has improved alongside the semiconductor recovery, yet construction activity and private consumption have shown mixed signals. A continued rise in producer prices may complicate the timing of any monetary easing, particularly if global commodity prices remain volatile.

The global context adds another layer of uncertainty. Demand for advanced chips linked to artificial intelligence has bolstered Korea’s trade outlook, but cyclical risks persist in other manufacturing segments, including petrochemicals and steel. At the same time, agricultural markets remain exposed to climate variability, which can amplify price swings and affect food security.

Market participants are closely monitoring whether the current producer price trend represents a stabilisation after last year’s weakness or the beginning of a more entrenched cost cycle. Some analysts argue that the semiconductor rebound is structural, underpinned by sustained capital expenditure in cloud infrastructure and next-generation devices. Others caution that technology demand can be volatile, and that inventory adjustments may re-emerge later in the year.

For policymakers, the composition of producer price growth is as important as the headline number. Increases concentrated in export-oriented sectors may bolster corporate earnings and investment, whereas broad-based gains across consumer-linked industries could signal renewed inflationary momentum. The central bank has indicated it will continue to assess data on prices, wages and growth before making any shift in its policy stance.

Businesses, meanwhile, face decisions on whether to absorb higher input costs or pass them on to customers. Large technology firms may have greater pricing power in global markets, but small and medium-sized enterprises, particularly in food processing and retail supply chains, operate on thinner margins.

Battery swapping allows drivers to exchange a depleted battery for a fully charged one in a matter of minutes at automated stations. Proponents argue that the process reduces waiting times, eases pressure on charging grids and addresses consumer concerns over driving range. The single-day tally reflects the rapid build-out of swapping infrastructure, particularly in urban clusters where electric vehicle adoption has surged.

Nio, one of the most prominent advocates of the model, has invested heavily in automated swap stations capable of completing a battery exchange in roughly three to five minutes. The company has deployed thousands of such stations nationwide, positioning the service as a core part of its premium brand offering. CATL, the world’s largest electric vehicle battery manufacturer, has also entered the segment, unveiling standardised battery packs and modular swap solutions aimed at broader industry adoption.

The record comes as authorities continue to encourage innovation in electric mobility as part of wider decarbonisation efforts. China remains the world’s largest market for electric vehicles, accounting for more than half of global sales. According to industry data, new energy vehicles — which include battery-electric and plug-in hybrid models — have steadily expanded their share of total car sales, supported by policy incentives, local government backing and a dense manufacturing ecosystem.

Supporters of battery swapping argue that the model can complement fast-charging networks rather than replace them. While high-powered chargers have improved, recharging times can still extend beyond 20 minutes depending on capacity and grid availability. Swapping offers a predictable and shorter turnaround, which fleet operators such as ride-hailing and logistics companies view as critical to maintaining vehicle utilisation rates.

Industry analysts note that standardisation has historically been a barrier to wider adoption. Different vehicle platforms often require unique battery configurations, complicating interoperability. CATL has sought to address this by promoting unified battery specifications that could be shared across brands. If widely adopted, such standardisation could lower infrastructure costs and accelerate rollout beyond premium segments.

Nio has expanded partnerships with other manufacturers to open its swapping network to additional vehicle models. The company has also integrated digital systems to allow drivers to locate stations, reserve slots and monitor battery health. Executives argue that separating vehicle ownership from battery ownership — through subscription-style battery leasing — reduces upfront purchase prices and mitigates concerns over long-term battery degradation.

However, sceptics question whether the economics can be sustained at scale. Building and maintaining automated swap stations requires substantial capital expenditure. Each site houses multiple battery packs, robotic handling systems and grid connections capable of recharging stored units. Critics argue that fast-charging networks, which rely on increasingly powerful chargers, may offer a more straightforward path to expansion without the need for physical battery inventories.

Grid management is another factor shaping the debate. Swapping stations can recharge batteries during off-peak hours and potentially provide energy storage services to the grid. By smoothing demand, operators may reduce strain during peak periods. Analysts suggest that such integration could become more valuable as renewable energy capacity grows and grid balancing becomes more complex.

Beyond domestic deployment, Chinese firms have signalled ambitions to export swapping technology. Pilot projects have been announced in parts of Europe and Asia, though regulatory frameworks and consumer preferences vary widely. In markets where home charging is common and long-distance travel patterns differ, adoption may face distinct challenges. Even so, global interest in reducing charging bottlenecks has prompted automakers and policymakers to monitor developments closely.

Competition within China’s electric vehicle market remains intense. Dozens of manufacturers are vying for market share amid price competition and rapid technological upgrades. Infrastructure innovation has become a key differentiator. Companies capable of offering integrated ecosystems — spanning vehicle, battery, software and energy services — are viewed as better positioned to secure customer loyalty in a crowded field.

The 146,000-swap benchmark illustrates how quickly usage volumes can scale once infrastructure density reaches critical mass. Urban corridors linking major economic centres have seen particularly high utilisation rates, with drivers opting for swaps during peak commuting hours. Fleet operators report that predictable turnaround times improve route planning and asset productivity.

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).

Global technology groups including Microsoft, Amazon and Google have pledged billions of dollars to expand cloud and AI infrastructure across the country, betting on strong digital adoption, a vast developer base and policy support from New Delhi. At the same time, domestic conglomerates such as Reliance Industries and the Adani Group have unveiled plans to scale up capacity, signalling an arms race to capture the next phase of AI growth.

The surge is centred on established data centre hubs such as Mumbai, Hyderabad, Chennai and the National Capital Region. Industry estimates place India’s operational data centre capacity at more than 900 megawatts, with projections that this could double within a few years as hyperscale facilities come online. Much of the new supply is being designed for AI workloads, which require more powerful processors and higher rack densities than traditional cloud computing.

Microsoft has committed to expanding its Azure footprint in multiple regions, while Amazon Web Services continues to invest in its Mumbai and Hyderabad zones. Google Cloud has also deepened its presence, citing demand from financial services, healthcare and government clients. Nvidia, whose graphics processing units underpin many AI systems, has strengthened partnerships with Indian firms to support sovereign AI initiatives and localised computing.

Officials argue that this wave of investment will support economic growth, digital inclusion and advanced research. India’s data protection framework and semiconductor incentives have been positioned as part of a broader strategy to create a resilient digital ecosystem. The government has also outlined ambitions to develop domestic AI models trained on local languages and datasets, increasing the need for high-performance computing infrastructure within national borders.

Yet environmental experts warn that the geography of expansion raises difficult trade-offs. Mumbai and Chennai, two of the country’s largest data centre clusters, face periodic water shortages and are vulnerable to climate-related risks, including extreme heat and flooding. Hyderabad, another key hub, has experienced mounting pressure on groundwater resources amid rapid urbanisation.

AI data centres are particularly resource-intensive. Training large language models can consume vast amounts of electricity, and the cooling systems required to maintain optimal temperatures often rely on significant volumes of water. While operators increasingly use advanced cooling technologies and pursue renewable energy procurement, critics question whether efficiency gains can keep pace with the scale of expansion.

According to industry analysts, AI-optimised facilities can draw substantially more power per rack than conventional data centres. India’s peak power demand has been rising steadily, touching record highs during heatwaves. Coal continues to account for a large share of electricity generation, although solar and wind capacity have expanded rapidly. The tension between decarbonisation goals and surging digital energy needs is becoming more pronounced.

Water usage is another flashpoint. Traditional evaporative cooling systems can require millions of litres annually for large facilities, though some operators are shifting to air-cooled or liquid immersion systems to reduce dependence on freshwater. Companies state that they are investing in water recycling, rainwater harvesting and wastewater treatment, particularly in regions classified as water-stressed.

Environmental groups argue that even with mitigation measures, cumulative impacts could strain local communities. Urban residents in Chennai and parts of Maharashtra have already experienced water rationing during drought periods. The prospect of energy-hungry AI campuses expanding in these same areas has prompted calls for stricter environmental assessments and greater transparency around resource use.

Corporate leaders counter that hyperscale operators often have stronger sustainability commitments than smaller, on-premise data centres. Many global firms have pledged to run on 100 per cent renewable energy and to become water positive within the decade. In India, power purchase agreements for solar and wind farms are increasingly tied to data centre projects, supporting the build-out of clean energy capacity.

Policy makers face a delicate balancing act. Digital infrastructure is viewed as critical to competitiveness, especially as countries race to develop generative AI capabilities. India’s large pool of engineers and its expanding start-up ecosystem make it an attractive base for AI research and deployment. Delaying capacity expansion could risk ceding ground to regional rivals in Southeast Asia or the Middle East, where governments are also courting hyperscale investment.

At the same time, climate resilience is rising on the national agenda. The country has set ambitious renewable energy targets and emphasised sustainable development in international forums. Integrating AI growth with environmental safeguards will test regulatory frameworks at both central and state levels.