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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.

This year’s edition sees six coffee shops from the region secure placements in the Top 100 List

SINGAPORE – Media OutReach Newswire – 23 February 2026 – The second edition of THE WORLD’S 100 BEST COFFEE SHOPS 2026 with DaVinci Gourmet announced its global ranking at CoffeeFest Madrid 2026 on 16 February 2026. This year marks a breakthrough moment for the Middle East. The United Arab Emirates secured two placements in the global Top 100, reinforcing its position as a fast-growing specialty coffee hub. In addition, Qatar and Oman achieved their first-ever entries in the global ranking, and Turkey’s Meet Lab Coffee returned to the list, underscoring the region’s growing presence on the world coffee stage.

The list confirms the emergence of new global capitals of quality coffee, as well as the consolidation of an increasingly diverse and innovative international coffee community that includes The United States, which leads the ranking with nine selected coffee shops, South America, Europe, Asia Pacific, Africa and Middle East.

Middle East coffee shops that made the Top 100 Ranking:

• Benchmark Coffee, UAE

• Harvest Coffee, Qatar

• Meet Lab Coffee, Turkey

• Azura – The Coffee Company, Oman

• Cypher Urban Roastery, UAE

• Flat White Specialty Coffee, Qatar

Hashtag: #TheWorlds100BestCoffeeShop #DaVinciGourmet

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

The tokenized investment model enables Esperanza Securities to issue investment tokens (also known as security tokens) through an investment fund it manages, allowing eligible investors to participate with a significantly lower entry barrier and trade the tokens in secondary markets.

Against the emerging tokenized real-world-asset (RWA) trend worldwide, Esperanza Securities is among the first platforms with a systematic focus on the live entertainment industry. Following the granting of the permission by the SFC, two upcoming tokenized entertainment investments will include the Chris Wong 40^th Anniversary Concert which will take place in Hong Kong on 6 to 7 March 2026 and a Korean boy band concert which will take place in Kuala Lumpur, Malaysia on 11 April 2026.

Innovation beyond technology: a focus on product structure

Entertainment industry assets have long benefited from a clear business model and income structure, which include box office receipts, sponsorships and merchandise revenue. Through tokenization, Esperanza Securities offers a new path for asset owners such as concert organizers to access capital without altering their operational models, while enabling investors to directly participate in opportunities linked to real economic activities.

The application of the tokenized investment model spans beyond the live entertainment industry. In fact, opportunities with clear business models and easily valuated underlying assets possess immense potential for tokenization. For instance, cultural and experiential projects with clear community monetization models and assets with stable and predictable cash flows, such as commercial properties, can all benefit from tokenization.

Bridging global investors to Asian assets through a 24×7 platform

Through the proprietary platform, espetopia.com (“Platform“), Esperanza Securities enables eligible investors to back real economy linked Asian projects, anytime and anywhere, without geographical limitations.

Eligible investors from all over the world can access all investment-related information, trade investment tokens and redeem utilities and experiences associated with the underlying assets through the Platform. This infrastructure enhances the visibility of Asian opportunities in global markets and effectively pools global capital to fund real economic developments, across verticals from cultural intellectual properties to the broader experience economies.

Looking ahead: charting a digital financing path for high-quality real assets

Looking forward, Esperanza Securities will continue to advance its asset-backed tokenized investment model under a prudent and compliant framework. The Company aims to progressively build a sustainable digital investment ecosystem centered on real assets with clear economic foundations.

As market acceptance of RWA digitization continues to grow, the Company sees promising potential for asset-backed tokenization to become an integral financing option alongside traditional public listings and private placements.

Hashtag: #EsperanzaFintech

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

About Esperanza Fintech (Securities) Limited

Esperanza Securities is a licensed corporation under the Securities and Futures Ordinance (Cap 571 of the law of Hong Kong) with permission to carry out Type 4 (advising on securities) and Type 9 (asset management) regulated activities. On 13 February 2026, Esperanza Securities received a “no further comment” letter from the SFC in relation to its proposal to tokenize managed funds, effectively granting formal permission for Esperanza Securities to conduct tokenized investment businesses.

About Esperanza Fintech Group

Esperanza Fintech Group is a fintech group headquartered in Hong Kong. The group’s licensed businesses include (i) gold trading and tokenized gold services operated by Esperanza Fintech (Commodities) Limited, a DPMS (dealers in precious metals and stones) Category A Registrant (No. A-B-25-03-08913) with the Hong Kong Customs with permitted businesses including the issuance, redemption and trading of gold backed instruments on www.espetopia.com; (ii) client asset custodian service operated by Esperanza Fintech (Nominees) Limited, a licensed Trust or Company Service Provider in Hong Kong (Licence No. TC010260), regulated by the Hong Kong Companies Registry; and (iii) tokenized investment services operated by Esperanza Securities, an SFC-regulated asset manager with permission to carry out tokenized investment businesses.

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.