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Danish pharmaceutical company Novo Nordisk has launched its blockbuster diabetes and weight-related therapy Ozempic in India, making the semaglutide-based injectable available across the country with a starting cost of about ₹2,200 per week for the lowest 0.25 mg dose. The move positions Ozempic as a key element in the fast-evolving metabolic health market, where type 2 diabetes and obesity rates are among the highest globally.

Available in pre-filled pens with 0.25 mg, 0.5 mg and 1 mg strengths, the therapy has been approved in India as an adjunct to diet and exercise for adults with uncontrolled type 2 diabetes. Novo Nordisk has set the monthly cost for the 0.25 mg dose at approximately ₹8,800, with incremental pricing for the higher strengths. The company says Ozempic delivers benefits beyond glycaemic control, including cardiovascular and kidney risk reduction, and supports weight management through appetite suppression.

India’s diabetes burden is among the world’s largest, with more than 100 million adults affected, according to World Health Organization estimates. Additionally, hundreds of millions live with overweight or obesity, factors that increase the risk of metabolic complications. The introduction of a globally validated therapy such as Ozempic provides clinicians with another option in managing these interconnected health challenges.

Industry analysts note that the launch comes as the country becomes a major battleground for GLP-1 receptor agonist drugs — a class that includes semaglutide and competitors such as Eli Lilly’s tirzepatide, marketed locally as Mounjaro. These therapies mimic gut hormones to regulate blood glucose and appetite, and have become focal points in efforts to curb both diabetes and excess weight.

Novo Nordisk’s roll-out follows the entry of Wegovy, its higher-dose semaglutide formulation specifically approved for chronic weight management, which debuted in India earlier in the year. Wegovy’s pricing adjustments have sparked a noticeable uptick in uptake, highlighting how cost influences adoption of these premium therapies. Ozempic’s pricing at a relatively lower weekly rate aims to broaden its accessibility, though some clinicians stress that affordability will remain a concern for patients without comprehensive insurance coverage.

The timing of the launch intersects with ongoing intellectual property developments. While the core semaglutide patent has expired in India, a secondary patent covering specific formulations remains valid until early 2026, limiting domestic generic competition. Indian courts have recently allowed local firms such as Sun Pharmaceutical Industries and Dr. Reddy’s Laboratories to manufacture semaglutide for export to countries where Novo Nordisk holds no patent but have barred domestic sales of these versions until the formulation patent lapses, shaping competitive dynamics in the near term.

Novo Nordisk India’s managing director, Vikrant Shrotriya, has acknowledged that the weekly pricing is positioned to balance accessibility with the company’s investment in supply infrastructure. He said the goal is to expand reach beyond major urban centres to tier-1 and tier-2 cities and dedicated diabetes clinics, where consistent access to modern therapies has traditionally lagged. Clinicians emphasise that appropriate patient education and specialist referrals will be crucial in ensuring safe and effective use, given that semaglutide therapies require monitoring for gastrointestinal and metabolic effects as part of comprehensive care.

The launch also intersects with broader digital health initiatives. Local health-tech firms are partnering with international drugmakers to offer patient support programmes that provide coaching and adherence tools for individuals on GLP-1 therapies. These services aim to bolster outcomes by integrating medication with lifestyle guidance, reflecting a holistic approach to long-term metabolic health management.

Abu Dhabi has hosted the CGIAR System Council meeting for the first time in the Arabian Gulf region, marking a significant moment for global agricultural governance and underscoring the UAE’s ambition to position itself as a convening hub for food systems innovation, climate resilience and sustainable development.

The gathering brought together representatives of governments, multilateral organisations, donors and research leaders who collectively oversee CGIAR, the world’s largest public agricultural research partnership. The System Council sets strategic direction, approves funding allocations and assesses the impact of research programmes that influence food security for hundreds of millions of people, particularly in climate-vulnerable regions.

Hosting the council in the UAE reflects a broader shift in global agricultural research towards regions facing acute water stress, rising temperatures and land degradation. Officials involved in the meeting emphasised that solutions for future food systems must be designed and tested in environments that mirror the challenges many countries already face, including arid climates and fragile ecosystems. The Gulf, long associated with food import dependence, is increasingly presented as a laboratory for innovation in desert agriculture, controlled-environment farming and climate-smart technologies.

CGIAR’s research portfolio spans crop improvement, climate adaptation, nutrition, water management and biodiversity conservation. Its network includes 15 research centres operating across Africa, Asia, Latin America and parts of the Middle East. Discussions in Abu Dhabi focused on aligning research priorities with accelerating climate risks, tightening development budgets and the need to demonstrate measurable outcomes for smallholder farmers and vulnerable communities.

Senior figures attending the meeting highlighted the urgency of scaling innovations that improve productivity while reducing environmental footprints. Heat-tolerant crop varieties, drought-resilient seeds, precision irrigation systems and data-driven advisory services were cited as areas where scientific advances are already delivering tangible benefits. Council members also reviewed progress on integrating gender equity and nutrition outcomes into agricultural research, recognising that yield gains alone do not guarantee food security.

The UAE’s role as host was framed around its investments in agri-tech, food security strategies and international development partnerships. Over the past decade, the country has expanded funding for agricultural research, supported pilot projects in arid farming and strengthened ties with international institutions working on climate adaptation. Officials involved in organising the meeting said the decision to host the council aligned with national priorities on sustainable food production and knowledge-based economic diversification.

Beyond symbolism, the location influenced the agenda. Sessions examined how lessons from desert agriculture can be adapted for other water-scarce regions, including parts of Africa and Central Asia. Controlled-environment agriculture, including greenhouse and vertical farming, featured prominently as participants assessed their potential to complement open-field farming rather than replace it. Energy use, affordability and scalability in lower-income settings were central to these debates.

Financing emerged as a critical issue. CGIAR operates in an environment of competing global crises, where humanitarian needs, climate finance and development assistance all draw from limited public funds. Council members discussed strategies to broaden the donor base, attract blended finance and strengthen partnerships with the private sector without compromising CGIAR’s public-good mandate. Transparency, accountability and rigorous impact evaluation were repeatedly emphasised as essential to maintaining donor confidence.

The meeting also addressed governance reforms within CGIAR, which has undergone structural changes aimed at improving coordination across its research centres. Council members reviewed progress on streamlining programmes, reducing duplication and enhancing collaboration with national research systems. Strengthening ties with regional institutions in the Middle East and North Africa was identified as an opportunity to expand the reach of research outputs while respecting local contexts.

Google has unveiled its most affordable artificial intelligence subscription in India, aiming to challenge OpenAI’s popular ChatGPT Go service and expand the reach of its AI ecosystem. The new Google AI Plus plan is priced at ₹399 per month, with a special introductory offer of ₹199 for the first six months for new subscribers, a strategy clearly designed to attract price-sensitive users in one of the world’s fastest-growing digital markets.

The launch places Google directly in competition with OpenAI’s ChatGPT Go subscription, which has gained traction by offering enhanced features at a similar price point and, in some cases, bundled free access through promotions. Both plans now sit at roughly the same monthly cost, but key differences in features and ecosystem integration could shape consumer choice.

Google’s AI Plus plan gives subscribers expanded access to Gemini 3 Pro, the company’s most capable AI model yet, enabling advanced natural language understanding, coding assistance, creative tasks and complex research queries. It also includes Nano Banana Pro, Google’s latest image-generation and editing model, and enables video generation through tools such as Flow and Veo 3.1—features that aim to broaden appeal among creators and professionals alike.

Beyond generative capabilities, the plan bundles 200GB of cloud storage shared across Gmail, Google Drive and Photos, and allows users to share privileges with up to five family members, a benefit absent in many direct AI chatbot subscriptions. The integration of AI tools into everyday applications like Gmail and Docs is also a distinguishing factor for Google, tying advanced AI functionality directly into widely used productivity platforms.

Market analysts say the move reflects tech giants’ broader strategy to embed AI deeper into consumer ecosystems. By offering storage and productivity enhancements alongside generative AI, Google appears to be positioning AI as an everyday utility rather than a standalone service, contrasting with ChatGPT Go’s focus on conversational and research use cases.

OpenAI’s ChatGPT Go has been offered free for a year in various markets, including India under promotional deals, increasing its adoption among students, freelancers and casual users. Google’s decision to counter with a low-entry price signals recognition of the importance of competitive pricing in winning market share in regions where cost is a significant adoption factor.

Industry observers note that India has become a key battleground for generative AI services. The country’s large English-speaking population, burgeoning digital user base, and rapid uptake of smartphones have made it one of the most contested markets for AI subscriptions globally. This push comes amid substantial investment flows from global tech firms into the Indian AI and cloud sectors, including commitments from Microsoft and Amazon to expand infrastructure and services locally, underscoring broader confidence in the region’s long-term growth potential.

Despite aggressive pricing, some experts caution that affordability alone may not secure dominance. “Value for users increasingly depends on how AI integrates with everyday workflows,” said an independent technology analyst, pointing to the added utility of cloud storage and productivity enhancements in Google’s offer. “These extras could tip the balance for professionals and households in choosing one platform over another.” This assessment reflects growing sentiment that seamless application integration, rather than raw AI prowess alone, will be a key differentiator in consumer choices.

The launch also comes against a backdrop of regulatory and competitive developments in the AI landscape. Governments worldwide, including a policy proposal in India to impose royalties on AI firms that train on copyrighted local content, are scrutinising how large models are developed and monetised. Such regulatory pressure could shape how global AI companies price and deliver services in key markets.

Google’s broader AI strategy continues to evolve, with investments in advanced models and partnerships aimed at pushing generative AI beyond chat interfaces into practical, everyday tools. The company has also recently bolstered its AI collaborations, such as integrating advanced coding tools and developer platforms, and its executives have signalled an intensified focus on next-generation models and applications capable of supporting complex tasks.

A wave of ambition is reshaping the technology landscape as leading entrepreneurs turn their attention to building artificial intelligence data centres in space. What began as scattered experiments in off-planet computing has matured into a competition among industry powerhouses seeking an edge in processing capacity, energy efficiency, and control over the infrastructure that will anchor next-generation AI systems. The pursuit is driven by the belief that Earth-based facilities are reaching fundamental limits, from land availability to cooling constraints, and that low-Earth orbit may provide the only environment capable of sustaining the exponential escalation in computational demand. Advocates frame this as an extension of a long-standing principle in engineering and exploration: to put human ingenuity to its fullest possible use, wherever the boundaries of science allow.

Several major technology leaders have stepped into this arena over the past two years. Their investments reflect a profound shift in strategy as companies realise that AI models cannot continue to scale using terrestrial infrastructure alone. The voracious energy requirements of large-scale training workloads challenge even the most advanced data-centre designs, pushing firms to explore solutions that draw on off-planet solar power and exploit the vacuum of space for passive cooling. Executives argue that orbiting facilities promise a cleaner energy profile, reduced environmental impact, and unprecedented independence from Earth’s physical constraints. As one aerospace investor remarked during a private industry event, the next digital revolution may be fuelled not by new algorithms but by new geography.

Engineering teams working on these orbital concepts often describe them as a convergence of satellite technology, chip innovation, and AI architecture. The logic is straightforward: satellites already operate reliably in extreme conditions with limited maintenance; AI systems increasingly require specialised compute hardware that benefits from consistent temperature conditions; and the economics of launch have changed dramatically due to reusable rockets. Once the cost of placing hardware into orbit falls to thresholds comparable to building premium facilities on Earth, the case for space-based computing strengthens considerably. What was once a speculative thought experiment has become a viable commercial target because access to space is no longer a privilege of governments alone.

However, the motivations driving this race are not solely technical. Strategic considerations weigh heavily. Ownership of orbital AI capacity promises unparalleled control over data sovereignty and computational independence. For executives wary of regulatory intervention or geopolitical risk, space offers a jurisdictional buffer that has become increasingly attractive. The ability to operate hardware outside traditional national borders gives corporations leverage at a moment when governments are tightening rules on data transfer, algorithmic transparency, and cloud-computing dependencies. Critics warn that this dynamic could set the stage for tension between public oversight and private ambition, particularly as orbital networks start to support commercial, defence, and financial applications simultaneously.

Security analysts have begun to examine the implications of off-planet AI infrastructure for global stability. On one hand, distributing critical systems across multiple orbital layers may reduce the vulnerability of communication and computing networks to terrestrial attacks or natural disasters. On the other, it introduces fresh risks, as high-value satellites could become targets in future disputes. Industry leaders tend to emphasise resilience and cooperation, arguing that shared standards and open coordination mechanisms can prevent escalation. Yet even in the early stages of development, commercial confidentiality and competitive pressure limit transparency, raising questions about how cooperative such a system can truly be.

Environmental considerations further complicate the picture. Proponents argue that orbital facilities will dramatically reduce the carbon footprint of data centres by tapping continuous solar energy and eliminating the need for extensive water-based cooling. They claim that redirecting computation to space will relieve pressure on overloaded terrestrial grids and free up land used for sprawling data-centre campuses. Environmental organisations counter that launching hundreds of tonnes of hardware into orbit will generate emissions during the construction phase and intensify concerns about space debris. Engineers involved in the projects acknowledge these issues but maintain that the long-term carbon savings outweigh the initial costs. Some firms have begun exploring closed-loop manufacturing cycles using recycled orbital material, a concept still in its infancy but increasingly part of corporate presentations.

The economic dimension of the space computing race has also attracted significant attention. Venture capital firms see orbital AI networks as a foundational platform similar in scale to the early internet, creating opportunities for startups focused on maintenance robotics, radiation-hardened chips, inter-satellite laser communication, and autonomous control systems. Government space agencies have shown interest too, recognising that private data-centre initiatives could stimulate broader commercial activity in orbit. Financial analysts caution that the capital intensity of these projects is immense and that many entrants may struggle to secure the funds required to move from prototype to full-scale deployment. But they also acknowledge that the firms leading the charge have histories of turning audacious concepts into viable industries.

One of the most compelling arguments for orbital AI centres revolves around scientific potential. Researchers emphasise that such facilities could support breakthroughs in materials engineering, climate modelling, pharmaceutical development, and astrophysics. Training models in microgravity environments may enable experiments that are impractical on Earth, and the isolation of orbital systems creates opportunities for secure high-performance computing dedicated to sensitive research. A prominent AI scientist recently noted at a conference that new frontiers in intelligence will be unlocked only when researchers have access to computational substrates as novel as the algorithms themselves, and that space may provide exactly that.

Despite enthusiasm, several fundamental questions remain unresolved. Energy transmission is one of them. While orbiting platforms can harness abundant solar power, efficiently transferring that energy to onboard compute clusters and ensuring stable operation during orbital night remains a challenge. Another issue concerns maintenance. Although robotic servicing is improving, most concepts still require periodic human intervention, raising questions about safety, reliability, and cost. Legal scholars are also wrestling with the future regulatory landscape, debating whether orbital AI nodes should be governed by space law, telecommunications frameworks, or entirely new agreements. These uncertainties highlight the complexity of forging infrastructure that defies conventional definitions.

Public perception is another area shaping the debate. The idea of billionaire-led initiatives expanding beyond Earth has drawn criticism from those who view it as a diversion of resources from urgent terrestrial needs. Advocates counter that technology has always advanced through bold exploration and that the benefits of space-based AI will eventually extend across society, from medical research to disaster forecasting. Several industry leaders have used narratives emphasising human progress and responsibility, suggesting that building orbital computing platforms represents a contribution to global knowledge rather than a retreat from Earth’s challenges.