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The hiring programme would expand the workforce of One 97 Communications, Paytm’s parent, by about 10 per cent from a base of roughly 40,000 employees. The company is also expected to reduce about 1 per cent of its staff, or nearly 400 employees, as it removes overlapping functions and redirects resources towards areas tied to revenue growth, automation and financial services distribution.

The planned additions will run through March 2027 and cover product, technology, artificial intelligence and senior leadership roles. Paytm has already added more than 800 employees over the past two months and is in the process of recruiting the next tranche as it widens its merchant network and builds AI-led tools across its platform.

The move reflects a broader recalibration inside the Noida-based fintech company after two years of regulatory pressure, cost discipline and business restructuring. Paytm is seeking to convert its large base of users and merchants into higher-value customers for loans, investments, insurance and other financial products, while keeping a tight watch on employee costs and operating expenses.

Chief Executive Officer Vijay Shekhar Sharma has been working to rebuild confidence after the Reserve Bank of India imposed severe restrictions on Paytm Payments Bank in 2024 and later cancelled the licence of the independently held affiliate in April 2026. One 97 Communications holds 49 per cent in the payments bank, while Sharma owns the remaining 51 per cent.

The banking affiliate’s closure has continued to shape staffing decisions. Most of Paytm Payments Bank’s employees have already exited over the past two years, with some absorbed into other parts of the fintech group. The remaining few hundred employees at the bank are expected to leave as the winding-down process advances.

Paytm’s latest hiring plan comes after a year in which the company sharply reduced headcount. Average on-roll employees fell from 43,960 in FY24 to 39,368 in FY25, a decline of about 4,600 people. A large portion of the workforce remains tied to sales, underlining the importance of merchant acquisition and field distribution in Paytm’s model.

The company’s restructuring has coincided with an improvement in profitability. Paytm posted four consecutive profitable quarters and reported its first full-year profit since listing, with FY26 net profit of about ₹552 crore compared with a loss of ₹663 crore in FY25. Revenue for FY26 rose to about ₹9,291 crore from ₹7,625 crore a year earlier.

For the March 2026 quarter, One 97 Communications reported a consolidated net profit of about ₹184 crore, compared with a loss of about ₹540 crore in the year-earlier period. Revenue from operations rose 18.4 per cent year-on-year to ₹2,264 crore, supported by payments services and financial services distribution.

The improved performance has given Paytm more room to invest in growth areas, but the company is still balancing expansion with caution. Its shares have gained around 7 per cent over the past year, though they remain more than 50 per cent below the 2021 initial public offering price, a reminder of investor concerns over profitability, regulation and the durability of its business model.

Artificial intelligence has become central to Paytm’s operating strategy. The company has used automation to reduce repetitive work in customer support, risk management, merchant servicing and internal processes. The next phase appears focused less on replacing headcount across the board and more on redeploying resources towards AI-enabled products, data-driven lending, fraud control and personalised financial offerings.

That shift mirrors a wider trend in the technology and fintech sectors, where companies are cutting roles in legacy or routine functions while hiring for engineering, machine learning, product design, compliance technology and platform operations. For Paytm, the challenge is sharper because its business relies on both software capability and a large physical merchant network.

The company began in 2010 as a mobile recharge platform before expanding into wallets, QR-code payments, Soundbox devices, payment gateways and financial services. Its growth accelerated after the 2016 currency note withdrawal pushed millions of merchants and consumers towards digital payments.

Vrishabh Mahendra Gangurde, a resident of Mahim, fell ill during the “Klangkuenstler All Night Long” event at the NSCI Dome in the early hours of Sunday. He was taken for medical care after his condition deteriorated, but was declared dead. A female companion who also complained of uneasiness was admitted to hospital, where she remained under observation.

Police have not confirmed drug consumption and are awaiting the post-mortem and forensic findings before drawing a conclusion on the cause of death. Early information available to investigators indicates that the two had consumed alcohol, while the possibility of other substances has not been ruled out. Officers are recording statements of organisers, staff, security personnel, attendees and medical responders to establish the sequence of events inside the venue.

The case has drawn added attention because Mumbai is already dealing with the fallout from another fatal overdose-linked concert case earlier this year. Two management students died after allegedly consuming ecstasy pills at a music event in Goregaon in April, while another woman required hospitalisation. That investigation led to multiple arrests, including alleged suppliers, intermediaries and venue-linked personnel, and pushed police to examine whether large ticketed events were being used by small drug networks to target young attendees.

The Worli incident has now renewed scrutiny of how nightlife events are managed in the city, particularly those running through the night and drawing large crowds. Investigators are expected to check entry controls, availability of medical teams, CCTV coverage, emergency response time, alcohol service protocols and whether organisers had complied with permission conditions. The NSCI Dome, one of Mumbai’s prominent indoor venues, regularly hosts concerts, exhibitions, sports events and corporate gatherings.

Police are also examining whether there was adequate coordination between the organiser, venue management, private security and local authorities. Event permissions for large gatherings generally require compliance with safety norms, crowd-control measures, fire clearances, medical support and restrictions on illegal substances. Any lapse in implementation could invite action under relevant police and municipal provisions.

The performer Klangkuenstler, a German techno artist known for high-energy warehouse-style sets, has a significant following among electronic music audiences. All-night electronic music events have expanded across major cities as promoters tap into demand for global DJs, premium venue experiences and late-night entertainment. The sector has grown quickly, but safety systems have not always kept pace with rising attendance, alcohol access and the risks associated with synthetic drugs.

Medical experts have repeatedly warned that dehydration, heat, alcohol, stimulants and prolonged dancing can combine dangerously in crowded venues. Symptoms such as confusion, collapse, chest pain, overheating, seizures and loss of consciousness require immediate intervention. Synthetic stimulants, including MDMA or ecstasy, can sharply increase body temperature and heart strain, especially when mixed with alcohol or taken in unknown quantities.

For investigators, the immediate challenge is to separate speculation from evidence. A suspected overdose cannot be treated as a confirmed cause until toxicology and post-mortem reports are complete. At the same time, the death of a young attendee at a high-profile venue gives police grounds to examine whether illegal substances circulated inside or around the event and whether organisers had systems to prevent such access.

Mumbai Police have been under pressure to tighten checks after the Goregaon deaths. Measures under discussion after that case included stricter frisking, more accountability for organisers, improved CCTV coverage, better coordination with venue staff and possible deployment of plain-clothes personnel at high-risk events. The Worli death could accelerate those discussions, particularly if forensic findings point to substance use or operational lapses.

Huang is expected to meet Taiwan Semiconductor Manufacturing Company chairman and chief executive C. C. Wei as Nvidia prepares a second-half production ramp for Vera Rubin, the next-generation platform that combines new Vera CPUs, Rubin GPUs, advanced memory and high-speed networking for rack-scale AI systems. The visit has drawn close attention because Nvidia’s product cycle is now tied more tightly than ever to Taiwan’s foundries, packaging houses, server assemblers and component suppliers.

Nvidia reported revenue of $81.6bn for the quarter ended April 26, up 85 per cent from a year earlier, with data-centre revenue reaching $75.2bn, up 92 per cent. The company also authorised an additional $80bn in share repurchases and raised its quarterly dividend to 25 cents a share from 1 cent, underscoring the scale of cash generation from the AI infrastructure boom.

Demand is being driven by cloud providers, AI model developers, enterprise customers and sovereign AI projects, all seeking clusters capable of training and running larger generative and agentic AI systems. Nvidia has described the buildout of “AI factories” as one of the largest infrastructure expansions in technology history, with its platform spanning chips, networking, systems software and reference designs for data centres.

Vera Rubin is expected to follow the Blackwell and Grace Blackwell generation, which is still being shipped in high volumes. That overlap is creating pressure across Taiwan’s supply chain because new capacity must support existing commitments while preparing for a platform with different requirements in advanced packaging, high-bandwidth memory integration, board assembly, cooling and system validation.

Huang has described Vera Rubin as potentially the biggest product ramp in Nvidia’s history and one of the largest technology manufacturing efforts Taiwan has handled. Industry estimates around the platform point to millions of parts across each system and the involvement of well over 100 Taiwan-based ecosystem partners, from chip fabrication and advanced packaging to printed circuit boards, power systems, connectors, thermal modules and final server integration.

TSMC remains central to the effort because Nvidia depends on its leading-edge process technology and advanced packaging capacity. The challenge is not limited to wafers. CoWoS and other packaging technologies have become strategic bottlenecks as AI accelerators require multiple logic dies, high-bandwidth memory stacks and dense interconnects. Any delay in packaging expansion can ripple through server production schedules, cloud deployment plans and Nvidia’s revenue timing.

Taiwan’s broader technology sector has become a critical artery for the global AI trade. TSMC, Foxconn, Quanta, Wistron, Wiwynn, Inventec and a dense network of specialist suppliers are competing to add capacity while dealing with constraints in land, power, water, skilled labour and equipment availability. The concentration gives Nvidia speed and engineering depth, but also exposes the company to geopolitical and operational risks.

China remains the clearest commercial setback. Huang has said US export controls have pushed Nvidia’s share of China’s advanced AI chip market to zero, a striking reversal for a company that once held a dominant position there. The restrictions have strengthened the opening for Huawei and other domestic suppliers, while leaving Nvidia dependent on whether Washington and Beijing allow compliant chips to be sold without triggering national-security objections.

That loss has not slowed Nvidia’s global momentum, but it has changed the composition of growth. Revenue is now increasingly concentrated in markets where hyperscale cloud companies, enterprise AI developers and governments are building large AI data centres outside China. For investors, the question is whether demand can keep absorbing each successive architecture at the scale implied by Nvidia’s guidance.

Nvidia forecast revenue of about $91bn for the current quarter, above market expectations, signalling that orders for AI infrastructure remain strong despite concerns about overcapacity, power shortages and the pace at which customers can monetise AI services. Operating expenses rose 49 per cent to $7.75bn, reflecting the growing cost of research, supply commitments and ecosystem investments needed to sustain the company’s lead.

State Administration for Market Regulation said the agenda would focus on removing market barriers, promoting a unified national market, improving law enforcement practices and curbing destructive price wars that have weighed on corporate margins. The measures form part of a broader policy push to reassure entrepreneurs after years of regulatory tightening, weak domestic demand, a property downturn and intense competition across technology, retail and manufacturing.

Private firms remain central to China’s economic model, accounting for more than half of tax revenue, over 60 per cent of economic output, about 70 per cent of technological innovation, more than 80 per cent of urban employment and the bulk of registered enterprises. Beijing’s latest move signals that policymakers see the sector as essential to stabilising growth, sustaining jobs and advancing innovation under the 2026–2030 development blueprint.

The 34-point programme places particular emphasis on equal treatment for private and state-backed enterprises. Regulators are expected to expand checks on local protectionism, discriminatory procurement rules, hidden entry restrictions and administrative practices that prevent companies from competing across provincial borders. The objective is to make China’s internal market function more like a single national marketplace rather than a patchwork of local systems shaped by regional preferences.

Fair competition has become a sharper policy concern as price wars spread across food delivery, electric vehicles, e-commerce and consumer services. Authorities have described extreme discounting and subsidy battles as “involution-style” competition, a term used in China to describe intense rivalry that consumes resources without producing sustainable gains. Regulators are now seeking to distinguish legitimate competition from practices that damage suppliers, workers and smaller rivals.

The plan also strengthens the legal dimension of private sector support. It follows the Private Economy Promotion Law, which came into force in May 2025 and formally placed protections for private business within the legal system. That law sought to address long-standing complaints over unequal access to finance, arbitrary penalties, delayed government payments, inconsistent enforcement and barriers to participation in infrastructure and public procurement.

Beijing is under pressure to show that those commitments can be enforced beyond policy slogans. Private entrepreneurs have frequently complained that local officials apply rules unevenly, with smaller companies facing heavier compliance burdens than larger state-linked groups. The latest regulatory agenda calls for more standardised enforcement, fewer unnecessary inspections and better coordination among agencies, reducing the risk that overlapping regulatory demands disrupt business operations.

The emphasis on efficient regulation also reflects a change in tone after the sweeping crackdowns that reshaped China’s platform economy from 2020 onwards. Internet groups, education providers, fintech companies and delivery platforms faced tighter controls, large fines and abrupt policy shifts, weakening investor sentiment. Although authorities continue to insist that capital must operate within defined boundaries, the current message is more focused on predictability, confidence and growth.

Financial support remains another pillar of the wider policy framework. China has encouraged banks and financial institutions to increase lending to private firms, particularly in advanced manufacturing, artificial intelligence, green technology, biotechnology and other strategic sectors. Large banks have announced multi-year financing pledges for the private economy, while policymakers have called for broader fundraising channels and lower financing costs for smaller enterprises.

The regulatory agenda fits into China’s 2026 economic strategy, which prioritises stable growth, stronger domestic demand, technological self-reliance and risk control. The government has set a growth target range of 4.5 to 5 per cent for 2026, lower than earlier expansion rates but still demanding at a time of weak household confidence, subdued inflation and pressure from external trade frictions.

Private firms are especially important in technology and advanced manufacturing, where China is seeking to reduce reliance on foreign supply chains. Companies such as Huawei, BYD, CATL, Tencent and Alibaba remain closely watched as indicators of the relationship between the state and enterprise sector. Beijing’s message to these firms is twofold: innovation is encouraged, but expansion must align with national priorities and regulatory boundaries.

Foreign investors will watch whether the new priorities translate into measurable changes. China has pledged to widen market access and improve the business environment, but concerns remain over data rules, cross-border flows, procurement access, security reviews and policy transparency. For multinational companies and domestic entrepreneurs alike, the credibility of the 34-point programme will depend on implementation by local authorities as much as central-level messaging.

The market regulator’s plan also gives Beijing a mechanism to address deflationary pressures caused by excessive competition. Food delivery platforms, online retailers and electric vehicle producers have all faced pressure from aggressive pricing campaigns. While consumers may benefit from lower prices, sustained discount battles can weaken profitability, reduce wages across supply chains and discourage investment in quality improvements.