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By Nitya Chakraborty Only a week has passed since the BNP supremo Tarique Rahman has taken over as the Prime Minister of Bangladesh after the resounding victory of his party in the February 12 national elections. The 60 year old PM who is back to the country after an exile of 17 years in Britain, […]

The article US-China Rivalry Suddenly Intensifies In Bangladesh As Tarique Takes Over As PM appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

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.

• UBT251 is a triple agonist of the receptors for GLP-1, GIP and glucagon (triple G), being jointly developed by United Biotechnology and Novo Nordisk
• In a placebo-controlled phase 2 trial in Chinese people with overweight or obesity, UBT251 led to a statistically significant mean weight loss of up to 19.7% after 24 weeks
• UBT251 appeared to have a safe and well-tolerated profile consistent with incretin-based therapies.

GUANGDONG, CHINA & BAGSVÆRD, DENMARK – Media OutReach Newswire – 24 February 2026 – The United Laboratories International Holdings Limited (TUL) and Novo Nordisk A/S (Novo Nordisk) today announced topline results from a Chinese phase 2 trial of UBT251, a triple agonist of the receptors for GLP-1, GIP, and glucagon (triple G).

UBT251 is being jointly developed by TUL’s wholly-owned subsidiary The United Bio-Technology (Hengqin) Co., Ltd. (United Biotechnology) and Novo Nordisk under an agreement signed in March 2025. United Biotechnology is responsible for development in Chinese mainland, Hong Kong, Macau and Taiwan, while Novo Nordisk is responsible for development in the rest of the world.

The trial, conducted by United Biotechnology, investigated the safety and efficacy of once-weekly injectable 2 mg, 4 mg and 6 mg doses of UBT251 compared to placebo in Chinese people with overweight or obesity. From a baseline mean body weight of 92.2 kg, the highest mean weight loss observed for people treated with UBT251 was 19.7% (-17.5 kg) compared to 2.0% (-1.6kg) in the placebo group after 24 weeks of treatment[i].

Moreover, all dose groups of UBT251 showed statistically significant improvements relative to placebo on key secondary endpoints, including waist circumference, blood glucose, blood pressure and lipids.

In the trial, UBT251 appeared to have a safe and well-tolerated profile. The most common adverse events were gastrointestinal, and the vast majority were mild to moderate and diminished over time, consistent with incretin-based therapies.

“The success of the phase 2 clinical trial of UBT251 in China represents another significant milestone in TUL’s innovation-driven development,” said Mr Tsoi Hoi Shan, Chairman of TUL. “We will continue to focus on chronic diseases, including endocrine and metabolic disorders, accelerate the further development of UBT251, and strive to bring more high-quality treatment options to patients worldwide at the earliest opportunity.”

“We are very encouraged by these data from the trial in China, which demonstrate the potential of UBT251 and its differentiated clinical profile and safety and tolerability profile,” said Martin Holst Lange, executive vice president, chief scientific officer and head of Research and Development at Novo Nordisk. “We look forward to reporting data from a global trial with UBT251 conducted by Novo Nordisk next year.”

Novo Nordisk recently initiated a global phase 1b/2a trial investigating the safety, tolerability, pharmacokinetics and pharmacodynamics of different doses of UBT251 for up to 28 weeks in around 330 people living with overweight or obesity. Topline data from that trial is expected in 2027. Novo Nordisk also expects to initiate a phase 2 trial with UBT251 in people with type 2 diabetes in the second half of 2026.

United Biotechnology will present detailed data from the Chinese phase 2 trial at a medical congress later this year. Based on the results of this trial, the company is planning to initiate a phase 3 trial in Chinese patients with overweight or obesity.

About the Chinese phase 2 trial

This randomized, double-blind, placebo-controlled trial enrolled a total of 205 Chinese patients with obesity (BMI ≥ 28.0 kg/m²) or overweight (24.0 kg/m² ≤ BMI < 28.0 kg/m²) with at least one weight-related comorbidity. The baseline mean body weight of the patients was 92.2 kg, with a baseline mean BMI of 33.1 kg/m².

Patients were randomly assigned to receive weekly subcutaneous injections of UBT251 in doses of 2 mg, 4 mg, 6 mg, or placebo for 24 weeks.

The primary endpoint of the trial was the percentage change in body weight from baseline after 24 weeks of treatment.

About UBT251

UBT251 is a long-acting synthetic peptide triple agonist targeting the receptors for GLP-1 (glucagon-like peptide-1), GIP (glucose-dependent insulinotropic polypeptide) and glucagon.

In March 2025, United Biotechnology entered an exclusive license agreement with Novo Nordisk A/S for UBT251. Under the agreement, Novo Nordisk obtained exclusive worldwide rights (excluding Chinese mainland, Hong Kong, Macau, and Taiwan) to develop, manufacture and commercialise UBT251. United Biotechnology retained the rights for UBT251 in Chinese mainland, Hong Kong, Macau and Taiwan.

Hashtag: #UBT251

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

About TUL and United Biotechnology

Founded in 1990, TUL (HKEX: 3933) is mainly engaged in the research and development, production and sales of pharmaceuticals, and ranks among the leading integrated pharmaceutical companies in China. TUL currently boasts seven production bases, covering intermediate products, bulk medicine, finished products, veterinary drugs, empty capsule casings, and medical devices, with the sales networks dotted across nearly 80 countries and regions. United Biotechnology, located in the Guangdong-Macao In-Depth Cooperation Zone in Hengqin, serves as the biopharmaceutical R&D headquarter of TUL. United Biotechnology focuses on the development of high-end biopharmaceuticals to treat major chronic diseases. For more information, please visit www.tul.com.cn.

About Novo Nordisk

Novo Nordisk is a leading global healthcare company, founded in 1923 and headquartered in Denmark. Our purpose is to drive change to defeat serious chronic diseases, built upon our heritage in diabetes. We do so by pioneering scientific breakthroughs, expanding access to our medicines, and working to prevent and ultimately cure disease. Novo Nordisk employs about 68,800 people in 80 countries and markets its products in around 170 countries. For more information, visit novonordisk.com, Facebook, Instagram, X, LinkedIn and YouTube.

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.

Agentic artificial intelligence is forcing a fundamental reassessment of how enterprise software is sold, bought and priced, with implications for licensing models, cloud economics and the broader SaaS market worldwide. As autonomous AI agents that can plan, execute and optimise complex workflows proliferate across enterprises, traditional per-seat software licensing is coming under pressure, major vendors are redesigning pricing frameworks and investors are recalibrating valuations around AI’s transformative potential.

Industry executives and analysts say that agentic AI – autonomous systems that operate beyond simple generative tasks to perform multi-step functions without constant human direction – is altering the value proposition of enterprise software. Organisations are increasingly demanding pricing that reflects outcome-based performance and consumption rather than fixed seat counts, pushing large software providers to experiment with enterprise licence agreements that bundle AI capacity with predictable costs and shared risk. This shift is expected to reshape cloud economics by altering how revenue and costs are aligned in the era of pervasive AI automation.

The software industry’s long reliance on per-seat or subscription models is facing disruption as AI agents demonstrate the ability to automate work historically done by humans. Gartner forecasts that around 40 per cent of enterprise software applications will feature embedded task-specific AI agents by the end of this year, exponentially up from a fraction only a short time ago. Enterprises are seeking simpler, more transparent pricing arrangements that reflect AI usage and business outcomes, rather than paying for seats that may no longer correspond to human users in traditional roles.

Salesforce and other leading software vendors have moved to reframe their pricing strategies for an agent-centric world. Executives have described new Agentic Enterprise Licence Agreements that offer “all you can eat” access to AI-powered tools and platforms at agreed-upon costs, designed to give customers confidence to scale AI deployments without unpredictable usage charges. These agreements represent a departure from legacy licence structures and a bet that long-term customer engagement will outweigh short-term licence profitability concerns.

Investors are already pricing in uncertainty about how this transition will unfold. Episodes of sharp stock sell-offs in global software equities have highlighted market anxiety about whether traditional enterprise software will maintain its relevance as agentic AI systems gain traction. While some market observers argue that fears of widespread obsolescence are overstated, the volatility reflects genuine debate about how software demand will evolve as autonomous AI agents become more capable of developing, integrating and executing workflows.

The transformation extends beyond pricing into cloud infrastructure economics. AI workloads, particularly those driven by agentic systems, impose heavier and more variable demands on cloud compute and data storage, challenging conventional cost forecasts. Infrastructure expenses tied to training and operating autonomous agents can grow faster than top-line revenue if not carefully managed. Finance teams are rethinking cost allocation, forecasting and real-time billing to provide clearer visibility into consumption by AI agents, a trend that underscores the complexity of cloud economics in an AI era.

Enterprise readiness for agentic AI varies. While adoption continues to expand rapidly, many organisations are cautious about the risks of autonomous decision-making, prioritising data trust, governance and integration challenges. A significant number of leaders report that scaling fully autonomous agents remains an enterprise priority, but that confidence in data integrity and risk controls are the biggest bottlenecks for broad deployment. The interplay between promise and practical reality is shaping cautious but forward-looking strategies.

For software providers, the transition to AI-centric offerings is pushing a broader rethinking of product strategy and business model evolution. Traditional vendors are integrating agentic capabilities into existing platforms, expanding from assistive features to autonomous operations, while newer AI-native firms are building products around AI agents from the ground up. Software incumbents face a dual challenge: reinventing core products to leverage agentic capabilities while maintaining service quality, compliance and continuity for enterprise customers.

Beyond commercial implications, the rise of agentic AI is prompting discussions about its broader impacts on organisational structures, work roles and human-AI collaboration. Proponents argue that autonomous agents can dissolve rigid organisational silos, enhance productivity by taking over repetitive and complex tasks, and free human workers to focus on higher-order decision-making. Skeptics warn of ethical, legal and accountability challenges associated with handing over greater autonomy to AI systems, including liability, bias and governance risks.

By Ashok Nilakantan Ayers NEW YORK: When the Supreme Court of the United States struck down Donald Trump’s sweeping global tariffs on February 20, delivering a 6–3 verdict that the International Emergency Economic Powers Act of 1977 confers no authority to impose broad-spectrum duties without Congressional approval, the most consequential reverberations were felt not in […]

The article How A Supreme Court Ruling And A Russian Oil Gambit Rewrote India’s Trade Destiny appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

The twin agreements signal a coordinated push to deepen collaboration on artificial intelligence research, semiconductor supply chains and standards-setting at a time when global competition over emerging technologies is intensifying. Officials described the move as part of a broader effort to align trusted partners around open, secure and innovation-driven AI ecosystems.

The Pax Silica Initiative, framed as a platform for cooperation among governments, industry and research institutions, aims to promote responsible AI development anchored in democratic values and transparent governance. By endorsing the declaration, India has committed to work with other signatories on areas including AI safety frameworks, interoperability standards and resilient semiconductor networks. The initiative also seeks to reduce vulnerabilities in critical technology supply chains, particularly in advanced chips that underpin AI systems.

The Joint Statement on the India–U. S. AI Opportunity Partnership outlines specific areas of collaboration between New Delhi and Washington. According to officials familiar with the discussions, the partnership will prioritise joint research projects, exchanges between academic institutions and closer engagement between start-ups and venture capital ecosystems in both countries. It also envisages cooperation on workforce development, with a focus on skilling programmes to meet rising demand for AI engineers, data scientists and semiconductor specialists.

Senior representatives from both sides emphasised that the agreements build on an expanding technology agenda that has gathered pace over the past two years. The United States has identified India as a key partner in diversifying supply chains for critical technologies, while New Delhi has sought greater access to advanced know-how and investment to support its domestic manufacturing ambitions.

The semiconductor dimension is central to the Pax Silica framework. Global shortages during the pandemic exposed structural weaknesses in chip production networks, prompting governments to reassess their dependence on a limited number of manufacturing hubs. India has since launched incentive schemes to attract chipmakers and component suppliers, positioning itself as a complementary node in the global value chain. Closer coordination with U. S. firms and research laboratories is expected to support technology transfer and design capabilities.

Artificial intelligence governance is another pillar of the collaboration. Policymakers in New Delhi have been working on a regulatory architecture that balances innovation with safeguards against misuse. The partnership with the United States is expected to facilitate dialogue on standards, testing protocols and ethical guidelines. Both countries have expressed support for international cooperation to ensure AI systems are transparent, accountable and aligned with human rights principles.

Industry leaders present at the summit pointed to the commercial opportunities arising from deeper integration. India’s digital economy has expanded rapidly, driven by widespread smartphone adoption and a thriving start-up ecosystem. U. S. technology companies view the market as both a testing ground for scalable AI applications and a source of skilled talent. Joint ventures and research collaborations are likely to accelerate as policy barriers are addressed.

Analysts say the agreements also carry geopolitical significance. As rival powers invest heavily in AI and semiconductor capabilities, technology has become intertwined with national security and economic resilience. By formalising cooperation through the Pax Silica Declaration and the AI Opportunity Partnership, New Delhi and Washington are signalling intent to shape global norms rather than react to them.

The AI Impact Summit in New Delhi brought together policymakers, technologists and academics from multiple countries, underscoring the growing prominence of the city as a convening platform for debates on digital governance. Discussions ranged from generative AI applications in healthcare and education to concerns over misinformation and algorithmic bias. The signing of the declaration and joint statement provided a tangible outcome to those deliberations.

Officials indicated that working groups would be established to translate the commitments into concrete projects, with timelines and measurable targets to be announced in due course. Engagement with private sector stakeholders and research universities is expected to be formalised through memoranda of understanding and funding calls.

On the sidelines of the signing ceremony, the airline’s leadership also met with Boeing to discuss a subsequent plan to invest in 30 wide-body aircraft in the coming period, with an estimated total value of over USD 12 billion, in support of its international network development strategy.

This landmark agreement represents a cornerstone of Vietnam Airlines’ long-term fleet modernization strategy. The airline is scheduled to take delivery of the aircraft between 2030 and 2032, with the expansion expected to increase its total fleet to approximately 151 aircraft by 2030. The US$8.1 Billion (at 2025 catalog pricing) investment prioritizes the development of the narrow-body fleet to enhance network frequency, operational flexibility and cost efficiency, while strengthening competitiveness in the next phase of growth.

The Boeing 737-8 aircraft will primarily operate on domestic and regional Asian routes, supporting rising passenger demand and strengthening regional connectivity. Over the next five years, Vietnam Airlines targets sustained double-digit average annual growth across key operating indicators, in line with the robust expansion of Vietnam’s aviation market.

Dang Ngoc Hoa, Chairman of the Board of Directors of Vietnam Airlines, said: “Vietnam Airlines is taking a comprehensive and forward-looking approach to strengthening its capabilities, spanning fleet modernization, financial resilience and the development of high quality talent, to support our long term growth ambitions. The investment in 50 Boeing 737-8 aircraft marks a significant step in building a modern, fuel efficient fleet while enhancing operational performance and elevating service standards to meet international benchmarks. This agreement also deepens the long standing strategic partnership between Vietnam Airlines and Boeing, creating a strong foundation for our ambition to become a five star international airline by 2030.”

Stephanie Pope, President and CEO of Boeing Commercial Airplanes, said: “We are proud to build on our partnership with Vietnam Airlines and support them as they pair the 737 MAX with the 787 Dreamliner to further scale regional networks and strengthen connectivity across Asia. The 737‑8’s capabilities, economics and passenger experience make it an ideal airplane to support Vietnam Airlines’ growth plans.”

Boeing 737-8 is the fastest-selling airplane in Boeing’s history, recognized for its advanced design, operational reliability, and sustainability performance. With seating for up to 200 passengers and a range of up to 6,570 kilometers, the aircraft offers strong flexibility across short- and medium-haul networks.

Powered by CFM International LEAP-1B engines and incorporating an optimized aerodynamic design and advanced technology winglets, the 737 reduces fuel use and emissions by 20 percent compared to the airplanes it replaces. On average, each aircraft is expected to save up to 8 million pounds of CO₂ emissions annually, supporting the airline’s network expansion while lowering operating costs.

The Boeing Sky Interior further enhances the passenger experience, featuring larger pivoting bins, advanced LED lighting, larger windows, and a spacious cabin architecture that delivers a modern and comfortable flying experience.

Beyond fleet expansion, this investment underscores Vietnam Airlines’ long-term commitment to sustainable development, emissions reduction, and service excellence. With the addition of the 737-8, the airline is strengthening its operational capabilities and adherence to international safety and service standards.

To secure diversified funding sources, Vietnam Airlines in 2025 engaged in discussions with domestic banks and dominant U.S. financial institutions, including EXIM Bank and Citi, to arrange financing for strategic projects such as fleet investment.

Building on strengthened financial foundations and improving operational performance, Vietnam Airlines continues to expand its global footprint, including the recent launch of a record 14 new international routes. The introduction of the Boeing 737-8 will further enhance the airline’s capacity to capture growth in the Asia Pacific aviation market, expand connectivity and elevate service quality, as it advances toward its goal of becoming a five-star airline by 2030.
Hashtag: #VietnamAirlines #Boeing7378 #FleetExpansion #AviationIndustry #AirlineGrowth

www.vietnamairlines.com

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