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The Abu Dhabi Investment Authority has secured a 4.7 per cent stake in the initial public offering of India’s investment-platform operator Groww, acquiring approximately 14 million shares via its India subsidiary Monsoon for 1.4 billion rupees. The investment was made through two separate transactions ahead of Groww’s IPO, in which 298.45 million equity shares were earmarked for institutional investors.

Groww’s anchor book raised 29.8 billion rupees from 102 institutional investors ahead of its public offer, which opens on 4 November and aims for a valuation of around US$754 million. The Government of Singapore committed 1.39 billion rupees in the anchor round for a 4.68 per cent stake.

The depth of anchor demand underlines strong institutional confidence in the Bengaluru-based company. The anchor tranche accounted for five out of the six largest global sovereign-wealth funds involved, and domestic mutual funds took nearly half of the allotted 29.84 million shares in the anchor raise at a unit price of ₹100. Groww’s parent, Billionbrains Garage Ventures, will deploy fresh issue proceeds for cloud-infrastructure upgrades, brand building and margin-trading facility expansion.

Groww faces a turning point as it transitions beyond core broking. In the quarter ended June 2025, broking revenue accounted for 79.5 per cent of total revenues, down from 87.4 per cent a year earlier, as the company ramps enrollment in commodities, bonds and margin-trading services. With strong backing from marquee institutional players, Groww appears to be counting on growth in wealth-management, lending and derivatives to justify its IPO valuation.

The involvement of ADIA gives Groww not only capital but credibility in the public markets. For the Abu Dhabi fund, the deal provides further exposure to India’s dynamic fintech ecosystem as it continues to expand its footprint through Asia-focused growth equity deals. The participation of the Government of Singapore and multiple global asset managers reinforces the message that the Indian retail-investment rally still commands global attention.

OpenAI has announced that its mid-tier subscription plan, ChatGPT Go, will be available free for a 12-month period to eligible users in India starting 4 November 2025. The offer applies to new sign-ups, users on the free tier, and existing ChatGPT Go subscribers in good standing.

The Go plan typically costs around ₹399 per month and includes access to the latest model, GPT‑5, higher message limits, image generation, file uploads and enhanced memory for conversations. OpenAI says the promotion reflects its strategy to deepen engagement in India, identified as its second-largest market globally.

The promotional offer is being timed with the company’s first DevDay Exchange event in Bengaluru. The aim is to accelerate user adoption, familiarise a large user base with advanced AI workflows and potentially convert trial users into longer-term subscribers. Users in India eligible for the offer must add a valid payment method—such as a credit/debit card or UPI—and once the 12-month period ends, the subscription will auto-renew at the prevailing monthly fee unless cancelled.

South Korean industry and government have secured a major hardware boost as Nvidia will deliver more than 260,000 of its flagship “Blackwell” AI chips to the Republic of Korea in a partnership spanning the public sector and major corporations. The deal, announced during the Asia‑Pacific Economic Cooperation Summit in Gyeongju on 31 October, positions South Korea as a rising artificial-intelligence hub and reflects Nvidia’s pivot amid shifting global semiconductor geopolitics.

The agreement covers deployments across multiple sectors: the government will obtain roughly 50,000 of Nvidia’s GPUs for its National AI Computing Centre; top chip-maker Samsung Electronics and conglomerate SK Group are each set to install about 50,000 units; automaker Hyundai Motor Group another 50,000; and internet-giant Naver Corporation around 60,000.

Nvidia’s chief executive, Jensen Huang, described the arrangement as an opportunity to “produce intelligence as a new export” for South Korea—drawing on its track record in electronics, ships and cars. He met President Lee Jae Myung and leading industrial executives during APEC’s leader-week, underpinning the deal’s strategic importance.

For South Korea the timing is critical. The country’s ambition to become one of the world’s top three AI powerhouses is tied to this surge in computing capacity. Officials estimate that the new GPU stock will raise South Korea’s installed AI-chip inventory from roughly 65,000 to over 300,000 units—more than a four-fold increase.

The motive spans multiple strands. Domestically, the government has signalled its intent through a budget push to triple AI-related spending to 10.1 trillion won in the 2026 fiscal year, with AI infrastructure now a key focus alongside semiconductors, autos and ship-building. Meanwhile, on the global stage, the transaction reflects Nvidia’s response to US export restrictions targeting China: by deepening partnerships with allied economies, Nvidia hedges market access and secures demand beyond geopolitical risk zones.

Industry commentators note the strategic value for South Korea’s private sector. Samsung’s aim to build an AI-factory on the back of these chips and Hyundai’s plan to apply them in autonomous driving and smart factories indicate a broad industrial integration of AI hardware. SK Group’s creation of an industrial-AI cloud, together with Naver’s scaling of its model-training infrastructure, further illustrate the ecosystem approach.

However, risks remain. The logistics of deploying such volumes of high-performance chips across multiple sectors present challenges in cooling, power supply and skilled workforce capabilities. Moreover, the influx of foreign hardware raises questions about long-term sovereignty of critical AI infrastructure—South Korea may become reliant on external chip providers even as it strives to build home-grown strength. Some analysts caution that building capacity alone does not always translate into global leadership in AI.

Another layer of uncertainty stems from the export environment. US policy is tightening its grip on shipments of Nvidia’s most advanced chips to China and other countries. While the South Korean deal has been approved, shifts in global regulation or export licences could affect timelines or chip-variants supplied.

For the key players in South Korea the stakes are substantial. Samsung and SK are leveraging this infusion to advance semiconductor development and edge-computing systems. Hyundai is tackling next-generation vehicle autonomy. Naver and Kakao increasingly rely on large-scale model training—now anchored to the new hardware. At a national level, the government aims to unlock innovation, jobs and exports through “sovereign AI” infrastructure under domestic control.

In global context, South Korea’s move places it firmly within the push by middle powers to stake out a significant role in the AI value chain, not merely as chip supplier but as a platform developer and services export economy. For Nvidia it reinforces its global reach and market dominance at a time when alternatives seek to challenge its position. The magnitude of the chip deployment and its industrial-strategic alignment make this one of the most consequential AI-hardware partnerships of the year.

Microsoft has announced a commitment to invest approximately $15.2 billion in the United Arab Emirates by the end of 2029, while securing U. S. export licences to ship advanced AI chips to the Gulf state. The investment is centred on building and expanding cloud infrastructure, artificial-intelligence data centres and talent development in partnership with local entities.

The majority of this sum will flow into the construction and operation of AI-enabled data-centre campuses, with Microsoft Vice-Chair and President Brad Smith describing the growth of those facilities as “by far” the largest element of the investment. The U. S. export licences permit shipment of tens of thousands of the latest-generation Nvidia GB300 Grace Blackwell GPUs to the UAE, enabling Microsoft to deploy higher-end compute capacity in its regional centres.

The investment timeline outlines that Microsoft had invested just over $7.3 billion between 2023 and the end of the present year and plans to spend more than $7.9 billion from 2026 to 2029. Of the latter, over $5.5 billion is earmarked for capital expenditure on data-centres and cloud systems, with the remainder directed at local operating expenses and workforce development. The export licence approvals follow a strategic arrangement between Washington and Abu Dhabi, reflecting shifting U. S. policy on high-end chip exports and technology partnerships with Gulf states.

By leveraging the licences, Microsoft gains the ability to scale AI infrastructure in the UAE under its own operation and in concert with regional firms. The firm emphasizes talent and ecosystem-building alongside infrastructure, noting its launch of a Global Engineering Development Centre in Abu Dhabi, and targeting wide-scale skilling of AI talent across the region. Local partner G42-based in Abu Dhabi plays a key role, with Microsoft having invested $1.5 billion for a minority stake and a board seat for Smith. G42’s board participation and Microsoft’s alignment reinforce the strategy of blending global tech capability with regional execution.

Beyond the financials, the deeper strategic purpose illuminates broader geopolitical dynamics. The U. S. decision to grant chip-export licences to the UAE signals a recalibration of export controls in favour of trusted partners, even as Washington manoeuvres to counter Chinese influence in the global AI supply-chain. The UAE’s ambition to become a global AI hub, and to host one of the world’s largest data-centre complexes in Abu Dhabi, aligns with Microsoft’s drive to diffuse AI at scale. The chip-export approvals are bound by stringent cyber-security and physical-security conditions; Smith emphasised that Microsoft became “the first company” under this administration to obtain such licences for the Gulf region.

Concerns remain, however. Some U. S. lawmakers have flagged that the UAE’s past technology ties with China raise questions about enforcement of export-control safeguards and potential technology diversion. The export licences carry conditional compliance obligations; any lapses may provoke regulatory scrutiny. For Microsoft and the UAE, execution risk spans multiple fronts: timely deployment of infrastructure, talent acquisition and retention, regulatory alignment, and ensuring that capital investment yields operational returns in a cloud and AI market set to intensify.

For the UAE, the benefits are manifold: access to cutting-edge AI hardware, alignment with global technology leaders, and bolstered credentials as a regional innovation hub. For Microsoft, the Gulf expansion offers a new growth frontier outside its traditional markets, delivering cloud-services scale and AI-model hosting in a region keen to adopt generative-AI applications at high per-capita levels. According to Microsoft’s own AI diffusion data, the UAE leads global per-capita use of generative AI, with 59.4 per cent of its population reported to be active users, ahead of second-placed Singapore at 58.6 per cent.

The United Arab Emirates is poised to become a major global hub for artificial intelligence, with its AI market projected to reach around Dh170 billion by 2030, according to a new study by market-research firm Grand View Research. The report indicates that the AI sector in the UAE is growing alongside the broader Middle East and North Africa region, where the AI market is forecast to expand to roughly US$166.3 billion by the end of the decade.

Key government initiatives are helping to drive this expansion. The UAE unveiled its first Arabic-language AI model earlier in the year and launched its “Strategic Plan 2031”, with the ambition of leveraging AI to improve federal-government efficiency and accelerate economic diversification. Grand View Research’s managing director, Swayam Dash, described the country and the wider region as “no longer just adopters of global AI technologies – they are shaping their own playbook,” pointing to sovereign-fund backing and proactive policy as major enablers.

The MENA region’s AI market, valued at about US$11.9 billion in 2023, is expected to grow at a compound annual growth rate of approximately 44.8 per cent between 2024 and 2030, reaching the projected US$166.3 billion figure. Within that broader region, the UAE’s market value is identified as roughly US$3.47 billion in 2023, with a projected CAGR of 43.9 per cent leading to the US$46.33 billion mark by 2030.

Analysts emphasise several drivers behind this growth. Public-sector adoption of AI for urban management, energy optimisation and security is mounting. Large language models and analytics tools are being integrated into government and enterprise workflows. Moreover, the UAE is building infrastructure to support AI ecosystems, including data centres, specialised talent programmes and partnerships with global technology firms.

However, growth is not without its challenges. The rapid adoption of AI raises concerns about data privacy, cybersecurity, ethical governance and workforce disruption. Some observers warn that regulatory frameworks may struggle to keep up with innovation rates. Others caution that scaling advanced AI beyond pilot projects into broad commercial deployment remains a complex and expensive endeavour.

Within the enterprise segment, cloud-based AI services are gaining traction, with the UAE’s cloud AI market estimated at approximately US$2.365 billion in 2024 and expected to reach US$11.08 billion by 2030. Meanwhile, the UAE healthcare-AI market is forecast to grow from US$17.2 million in 2023 to US$137.9 million by 2030, a CAGR of about 34.6 per cent.