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Cisco will unveil its latest innovations at GITEX GLOBAL 2025 in Dubai, aiming to equip enterprises across the Middle East and broader region with infrastructure built specifically for the AI era. The showcase focuses on AI-ready data centres, resilient network architectures, and strengthened security frameworks designed to support advanced workloads in data-intensive environments.

By joining the AI Infrastructure Partnership alongside BlackRock, Microsoft, NVIDIA, xAI and others, Cisco has committed to accelerating capital flows into datacentre and infrastructure projects. The partnership expects to unlock $30 billion in initial funding, scaling up to $100 billion including debt financing. Cisco brings its network, security and systems expertise to support the platform’s mission of secure, at-scale AI infrastructure.

At the heart of Cisco’s push is its new Cisco Data Fabric, launched in integration with Splunk, which provides federated data access across systems such as Amazon S3, Iceberg, Delta Lake and Snowflake, routing workloads intelligently to the best analytics or storage engine. This architecture is intended to reduce data movement, shorten analysis latency, and enable enterprises to transform machine data into AI-ready intelligence.

To support retrieval-augmented generation and agentic AI deployments, Cisco introduced the Secure AI Factory solution with NVIDIA and VAST Data. This validated architecture accelerates data extraction and retrieval at scale while enforcing security guardrails for every token processed. AI PODs built under this architecture offer pre-validated, high-performance building blocks for enterprise AI.

Networking and security are being redefined for the AI workload environment. At Cisco Live 2025, the company launched a next-generation network architecture for campus, branch and industrial environments, delivering unified management and devices purpose-built to support AI traffic patterns. It also introduced Hybrid Mesh Firewall and Universal Zero Trust Network Access to embed security into network fabric across hybrid and distributed environments. These features aim to simplify policy enforcement, improve visibility, and reduce complexity in securing both human users and AI agents.

Cisco CEO Chuck Robbins disclosed that fiscal year 2025 saw record AI infrastructure orders. In its final quarter, the company secured over $800 million from webscale clients, bringing total AI-focused orders to more than $2 billion—more than double its initial target. He described the pipeline as steadily growing into “hundreds of millions” as enterprises demand scalable, secure solutions.

In the Middle East, Cisco plans to demonstrate the regional relevance of its technologies under the theme “Make AI Work for You.” According to Cisco’s new AI Readiness Index, a vast majority of organisations in the UAE expect to expand their data centre capacity for AI within five years. The company will also present its work with Splunk on security and observability platforms at the event.

Cisco’s collaboration with Saudi Arabia’s HUMAIN is intended to build out an open, scalable AI infrastructure ecosystem aligned with Vision 2030. The multi-year programme includes deployment of cloud-based AI infrastructure, joint research initiatives, and efforts to grow local talent and innovation. The partnership underscores Saudi ambitions to position itself as a global AI hub.

Cisco sees accelerating demand for network modernisation. Its internal research reports that 97 percent of IT leaders view modernised networks as critical to deploying AI, cloud and IoT workloads, and 98 percent rate secure networking as essential for growth. However, the same study notes that only 40 percent of organisations have begun deploying advanced segmentation or intelligent control, illustrating an execution gap.

To strengthen its AI strategy, Cisco also expanded its presence in Indonesia by signing a Letter of Intent with BRIN to develop AI and cybersecurity capabilities via its Country Digital Acceleration programme. The plan includes building an AI Centre of Excellence and delivering training in AI, security and networking to 500,000 Indonesians by 2030.

Splunk’s observability portfolio itself is being reworked to embrace agentic AI, deploying AI agents to automate tasks such as root cause detection, alert correlation and issue resolution. This is intended to lighten the operational burden on IT and engineering teams while driving real-time insight.

Telecom operator du and technology vendor Nokia have completed a trial of an artificial intelligence–driven automation system aimed at simplifying and expediting the expansion and management of optical networks in the UAE.

The deployment tested Nokia’s WaveSuite AI, which combines traditional AI methods with generative models to assist du engineers with tasks such as planning, troubleshooting and documentation retrieval. The trial reportedly halved the time needed for optical network planning and produced designs 30 percent more efficient, while reducing errors during deployment.

During the trial, du’s engineering team used a single natural language interface to query live network status, access accurate documentation instantly, and simulate potential network evolutions. The system flagged possible inconsistencies or conflicting configurations early, allowing corrective adjustment before full-scale rollout. According to du, the result was faster troubleshooting, fewer manual errors and improved resource utilisation.

Saleem AlBlooshi, chief technology officer at du, said the trial “shows how innovation can transform network operations to face challenges brought on by increasingly sophisticated networks and ever-higher traffic volumes.” He emphasised that the automation of routine tasks and provision of intelligent tools would lead to more reliable, SLA-backed connectivity for customers.

From Nokia’s standpoint, Ron Johnson, senior vice president and general manager of Optical Networks, called WaveSuite AI “a demonstration of the real value of automation solutions with both classical and generative AI for optical networking.” He noted that the system reduces friction in planning, documentation search, and operational processes, and helps service providers accelerate provisioning of higher-speed, more reliable services.

The trial builds on du’s broader effort to embed AI and automation more deeply across its systems. Earlier this year, du partnered with Microsoft, Nokia, Khalifa University’s 6G Research Center and the ITU to launch an “Arabic Telecom LLM,” a large language model tailored for internal telecom operations. That model is designed to handle internal workflows, resolve device issues, process complaints and provide operational insights in Arabic and English. The initiative is part of du’s strategy to blend regional research leadership and global AI tools while retaining language and cultural fidelity in its operations.

This AI-driven automation trial comes amid growing pressures on telecom operators worldwide to scale quickly to meet surging demand for bandwidth, driven by AI workloads, data centers and new real-time applications. As networks grow in complexity, manual processes no longer scale efficiently, pushing operators into an era of closed-loop or autonomous operations. Nokia, in its public literature, frames network automation as essential to reducing manual intervention, improving performance and enabling faster service delivery across domains such as core, mobile, IP and optical networks.

In the UAE context, this trial signals du’s ambition to advance its optical infrastructure ahead of demand peaks, while benchmarking its operations for future 6G readiness. The success of automation in planning and deployment could reduce operational costs, increase agility, and support more complex services such as network slicing, ultra-low latency applications and differentiated service tiers.

Google has chosen Saudi startup Lahint for inclusion in its Growth Academy: AI for GovTech 2025 cohort, positioning the company among 24 global government-technology innovators supported by Google. The move aims to strengthen Lahint’s capacity to deliver AI-enabled public services and further Saudi Arabia’s push for digital transformation under Vision 2030.

Lahint, established in 2023 by Ahmed Saber and Mohamed Ibrahim, secured a $1 million pre-seed investment earlier this year to scale its AI and automation offerings in government services. The platform currently manages more than 60 digital government services and serves over 200 businesses, integrating robotic process automation and AI to streamline licensing, permits and administrative workflows.

By integrating Lahint into its accelerator, Google pledges technical support, mentorship and access to cloud infrastructure—tools that could accelerate Lahint’s roadmap to full automation of priority public services. Lahint has already earned multiple ISO certifications and is accredited by the Saudi Data & AI Authority with a Waee badge for AI ethics compliance.

Lahint has advanced its internal timeline for key automation milestones. The company is now targeting completion of its GovTech automation program by early 2026, a shift from an earlier 2027 target. This acceleration comes alongside newly signed partnerships with government entities to deploy real-time status reporting and predictive compliance tools covering domain areas such as licensing, taxation and corporate registration.

Saudi Arabia’s broader AI landscape is scaling rapidly. In 2025, the kingdom announced over $14.9 billion in investments at LEAP and pursued MoUs under SDAIA to reinforce its data and AI infrastructure. The establishment of HUMAIN, a state-backed AI company under the Public Investment Fund, is central to that strategy. HUMAIN, launched in May 2025, has already inked collaboration agreements with Nvidia, AMD and Qualcomm to develop AI factories and Arabic large language models.

Google’s AI programme in Saudi Arabia is part of a wider arrangement. A $10 billion joint investment by Google Cloud and the Public Investment Fund backs a national AI hub to reinforce the local ecosystem and serve regional demand.

Logitech will unveil a range of AI-enabled collaboration tools at GITEX Global 2025 in Dubai from 13 to 17 October, aiming to show how hardware and software can merge to support hybrid and human-centred work environments.

Under its “AI-Enabled Collaboration” theme, the company plans live demonstrations of its next-generation video conferencing, audio, and workspace peripherals. These products are designed to deliver equitable meeting experiences, seamless plug-and-play deployment, and sustainability throughout the product lifecycle.

Murad Ali, Head of GCC for Logitech for Business, says GITEX offers a stage to highlight innovations in “smart collaboration” that address evolving work trends in the Middle East, and that the company is committed to sustainable design practices. Logitech will host customers and partners at its Hall 3-C30 booth to showcase these developments.

A key highlight is the Rally Board 65, an all-in-one mobile conferencing device tailored to simplify complex meetings. The system combines a 65-inch touchscreen with built-in AI features such as RightSight 2 auto-framing, Depth Blur to reduce visual distractions, and sensors that measure occupancy and room health parameters. When unused, it can automatically shift into a lower power state to conserve energy—part of Logitech’s drive to embed sustainability into its hardware.

Logitech’s approach is underscored by statements from Moninder Jain, VP & Head of Global Emerging Markets. He notes that Logitech views AI not merely as a productivity tool, but as a means to deliver “more equitable collaboration experiences.” According to him, AI is embedded in features that equalise participation between in-room and remote contributors, including consistent audio/video quality, auto framing, and cloud-based device management that lets users carry settings across devices.

In recent months, Logitech has pushed AI integration further across its product lines. It has expanded its portfolio of Intel Evo-verified peripherals, reinforcing its strategy to support high-performance, low-latency user experiences. The company continues to evolve its Rally and video bar offerings, embedding AI to enhance meeting dynamics and reduce friction for IT teams managing hybrid environments.

Logitech’s sustainability credentials also receive attention in its corporate activities. The company’s “Future Positive” programme continues to support innovation in circular design. Past initiatives include collaborations on AI-powered e-waste recycling bins and exploration of alternative magnet materials to reduce reliance on rare earth elements.

Organisers have confirmed that Future Blockchain Summit x Fintech Surge will take place at Dubai Harbour from 12 to 15 October 2025, positioning the event as a central nexus for blockchain, digital assets, and fintech innovation across the MENA region. The four-day gathering, held alongside Expand North Star and powered by GITEX GLOBAL, aims to attract regulators, investors, entrepreneurs and technologists to shape emerging frameworks for finance.

Attendance is expected to exceed 70,000, with over 1,200 investors and more than 225 speakers scheduled to participate, alongside 150 exhibitors showcasing new products and solutions. A feature highlight is the Digital Assets Forum, which brings regulators, banks, and innovators together for intensive discussions on topics such as CBDCs, stablecoins, tokenised capital markets, cross-border regulation and the role of AI in compliance.

Speakers confirmed include Jimmy Su, Lily Liu, Eric Piscini, Oliver Stauber, Helen Liu and Kevin Lee. The event also features the Supernova Challenge, a startup pitch competition offering equity-free prizes totalling US$214,000 to finalists presenting to global judges and investors. Corporations such as Ruya, OKX and DKK Partners anchor the sponsorship tiers, while YPAY backs the Digital Assets Forum.

Dubai has been steadily reinforcing its position in the digital asset ecosystem. Earlier this year, the DAMAC Group signed a $1 billion contract with blockchain platform MANTRA to tokenise its real-world assets, a move aligned with the UAE’s aspirations to become a global digital assets hub. The country has been actively implementing regulatory frameworks, particularly in free zones like ADGM and DMCC, to attract blockchain firms and promote tokenisation of assets.

Investment momentum in the broader crypto and fintech sphere in the UAE has been robust. In the first quarter of 2025, global venture capital funding into cryptotech startups reached $5.4 billion, its highest quarterly total since 2022. Dubai has hosted major conferences such as TOKEN2049, drawing tens of thousands of participants and signalling regional leadership, though industry sentiment currently balances optimism with caution amid regulatory uncertainty and macro-economic pressures.

Technology trends driving this year’s agenda include the convergence of AI and blockchain, regulatory clarity for digital assets, tokenised infrastructure, and embedded finance. A newly published academic framework proposes integrating blockchain with Zero Trust security models to improve protection against insider threats in fintech ecosystems — a demonstration of how research is intersecting with commercial deployment.

Organisers emphasise that the event’s format is more than a conference: it is designed to enable deal-making, pilot launches and real partnerships. One-to-one investor matchmaking, live product demonstrations, and structured labs are scheduled to convert ideas into actionable projects. Startups exhibiting at Expand North Star receive automatic inclusion in the Supernova Challenge, deepening integration between the startup and blockchain-fintech community.

Regulators from the MENA region and beyond are expected to engage at the forum. Discussions will centre on harmonising cross-border rules, interoperability of digital asset legislation, and pathways for institutional adoption of tokenised assets. Several central banks may share updates on central bank digital currency explorations.

Teams at GITEX Global 2025 in Dubai will put liquid-cooled AI laptops under extreme thermal stress, testing whether advanced cooling systems can uphold sustained performance in one of the world’s harshest climates. Omnix International’s HOT Systems division, in partnership with PNY, will unveil a lineup of AI workstations, liquid-cooled laptops and the new HOT Guard monitoring suite, aiming to prove that these machines can maintain stability in high ambient temperatures.

At the heart of the exhibit is the challenge posed by regional heat: daytime temperatures in Dubai frequently exceed 40 °C, while indoor exhibition halls still pose cooling constraints. For high-performance AI workloads—particularly those involving CAD, BIM and machine learning—thermal throttling can cripple throughput. HOT Systems claims its integrated cooling and hardware optimisation can circumvent that performance drop. The accompanying HOT Guard software will monitor temperatures, fan and pump behaviour and security in real time on site.

Liquid cooling is no novelty in high-density server enclosures, but applying it in portable form factors presents a tougher engineering problem. In data centres, the shift from air to liquid systems has accelerated because conventional cooling struggles to keep up with power densities above 10–15 kW per rack. Liquid systems offer reduced power use, higher thermal headroom and often reclaimed waste heat reuse. But translating that to mobile form demands compact and robust fluid paths, efficient pumps, and risk control against leakage.

Advances in chip cooling are reinforcing that liquid systems represent more than a marginal improvement. Microsoft engineers have developed a microfluidics cooling technique that embeds coolant channels within the silicon substrate itself, enhancing heat removal efficiency at the chip level. That suggests future AI hardware may increasingly rely on liquid solutions at a micro scale.

Regional data centre operators are already embracing the shift: Khazna Data Centres, active across the UAE, has rolled out the country’s first liquid-cooled AI data centre and is developing more AI-optimised campuses. The move reflects recognition that standard cooling infrastructure cannot scale profitably with AI workloads.

Technical design choices behind liquid cooling include direct-to-chip systems, which place cold plates atop CPUs or GPUs, and immersion cooling, where liquid envelops hardware. The former is more suited for modular, retrofit deployments; the latter can offer full heat removal but introduces maintenance and material challenges, especially for localised devices. A recent review in AI systems architecture emphasises single-phase direct cooling as a flexible compromise for power levels below extreme thresholds, though it demands high reliability in fluid delivery and sealing.

Within the exhibition context, the HOT Systems demo will likely emphasise sustained throughput rather than peak benchmarks. The company plans real-world workflows—such as rendering, simulation and AI model inference—to demonstrate how the cooling system maintains clock speeds under load. PNY’s involvement underlines the reliance on qualified memory, GPUs and driver support, ensuring that thermal gains translate into usable computing stability.

End-users in architecture, media, engineering and AI fields are closely watching such developments. If heat throttling can be mitigated in this climate, portable AI rigs could expand in markets previously constrained to air-conditioned labs. But adoption depends on how well the solutions resist failure under harsh dust, vibration and heat cycles inherent to Gulf environments.

Prinker, a South Korea–based self-expression technology firm, is launching its full suite of personalization solutions in the Middle East and North Africa region at GITEX GLOBAL 2025, seeking to penetrate a market showing robust growth in beauty and personal care.

At its Dubai showcase, Prinker will debut Prinker POP, a smart beauty kiosk that enables users to mix and preview custom makeup palettes via a touchscreen interface and AI-driven simulation. It will also bring its handheld devices—Prinker S and Prinker M—capable of applying temporary, skin-safe tattoos within seconds, as well as a standalone Prinker Tattoo Kiosk allowing users to self-apply designs in malls or entertainment venues without staff assistance.

The company aims to tap into accelerating demand for experiential retail and personalisation in beauty, positioning itself at the intersection of tech and aesthetics as regional consumers and retailers seek interactive, low-risk forms of self-expression.

The MENA beauty and personal care market is projected to expand sharply, with estimates placing its value at around USD 95.2 billion by 2030 and an annual growth rate of 9.0 %. Rising digital penetration, social media influence, and youthful demographics are driving demand for personalised and immersive beauty experiences.

Prinker’s approach reflects broader industry trends in tech-infused beauty. Beauty firms worldwide are increasingly adopting AR mirrors, AI skin diagnostics, and custom formulation platforms. Yet few have ventured into on-demand, skin-printing devices in public retail spaces. Prinker positions its handheld and kiosk systems as a bridge between digital and physical engagement.

Retailers and salon operators in the region may see appeal in integrating Prinker’s solutions as a customer acquisition tool. By offering interactive touchpoints, brands can boost dwell time and cross-sell products. Prinker’s machines also reduce staff overhead and allow consistent brand experiences across locations.

Prinker’s global track record includes deployments for brand activations and content creation campaigns in Asia and the United States. However, scaling into MENA requires navigating regulatory regimes for cosmetic safety, cultural sensibilities around appearance, and localisation of designs to reflect regional tastes.

Prinker faces competition from AR/VR beauty apps that let users visualise makeup digitally, as well as legacy cosmetic brands developing custom blends in stores. But none currently replicate live, direct-to-skin printing in physical venues. Prinker’s advantage lies in marrying hardware and software with a frictionless user experience.

Executives leading Prinker’s expansion emphasise strategic partnerships. They plan to collaborate with regional beauty chains, department stores and mall operators, integrating kiosks into high-footfall environments. They also intend to localise design libraries—such as Arabic calligraphy motifs and regionally relevant patterns—to enhance appeal.

Analysts note that success will depend on commercial viability: cost per use, durability, and consumer uptake. Prinker will need to balance affordability with perceptible novelty so that users perceive value in transient tattoos or customised palettes.

Atelic today unveiled Atelic Studio, a new toolkit designed to help companies deploy enterprise-grade AI solutions with enhanced security, streamlined integration and measurable business returns. The Dubai-based firm says Studio represents a shift toward more accessible, modular and trustworthy AI for sectors such as industry, healthcare and energy markets.

Atelic presents Studio as a vendor-agnostic, multi-tenant platform that supports organisations in managing AI model deployment, data pipelines and governance from a unified interface. The company emphasises that the goal is to deliver “trusted AI” at scale — giving enterprises control over security and compliance while achieving return on investment.

According to Atelic, Studio’s architecture layers include model management, access control, explainability tools and deployment orchestration. It supports hybrid and cloud environments and allows users to plug in models from existing AI providers or open-source frameworks. In promotional documentation, the company describes Studio as both “secure” and “strategic” — stressing that enterprises should not just build models but build them for business impact.

Atelic’s background lies in AI software, chatbots, predictive analytics and data engineering across markets. Earlier projects focused on custom AI solutions, but the push with Studio marks a move toward a standardised platform offering. The firm’s public profile positions it as a tech partner aiming to help organisations “automate, innovate, and grow.”

Industry analysts note that the challenge Atelic is trying to solve is not trivial: many enterprises struggle with integrating AI into legacy infrastructure, managing security risks, and proving business value. Such obstacles have prevented AI pilots from crossing into production in many firms. If Studio lives up to its claims, it could attract customers looking for a balanced bridge between agility and control.

In the Middle East, the push for digital transformation has seen strong governmental and corporate backing. Atelic anticipates demand from local energy, healthcare and industrial firms that are under pressure to adopt AI responsibly. The company says it will offer pilot engagements through regional partnerships to demonstrate local compliance, security and use-case feasibility.

Atelic has not publicly disclosed pricing or commercial terms for Studio. Observers believe the platform market is crowded—competitors include major cloud AI platforms, AI ops tools, and niche MLOps startups. The success of Studio will hinge on differentiation: the promise of enterprise trust, modular integration, and clear business metrics.

Technical job listings from Atelic suggest the company is building out the platform’s infrastructure: a Full Stack Software Developer role cites work on an “AI industrial platform” using a multi-tenant architecture. Meanwhile, a short video presentation of Studio describes it as a secure, vendor-agnostic AI user interface that aims to future-proof enterprises as requirements evolve.

iFLYTEK is stepping up its engagement in the Middle East, unveiling two flagship AI products at GITEX 2025 in Dubai as part of a broader strategy to localise its offerings and anchor its presence in the region.

The company’s showcase spans three core portfolios—AI Translation, AI Infrastructure and AI Solutions—tailored for Gulf markets, with particular emphasis on Arabic dialect support and secure deployment. Among the new offerings is the AI Translation Earbuds, designed to enable seamless multilingual communication, and the e-ink AINote 2 work device, both making their global debut at the event. The debut underscores iFLYTEK’s intent to go beyond product marketing, emphasising solutions that address regional business needs.

Vincent Zhan, Vice President of iFLYTEK, asserted that the company is focused “to deliver intelligent solutions that address real business challenges” rather than merely present tech demonstrations. The firm has already placed a local team in Dubai to oversee deployment, maintenance, and customer support. It also customised algorithms to handle multiple Arabic dialects, expecting that linguistic responsiveness will differentiate it from global rivals.

iFLYTEK’s portfolio for the event includes the Spark WallEX system, designed for intelligent space management, along with Spark Smart Blackboard and Spark GuideX. The firm says these are engineered to support a range of sectors, including education, healthcare, enterprise operations and government. Its “All-in-One AI Solution” is positioned as a secure infrastructure package for organisations seeking turnkey AI adoption.

The Middle East expansion is part of a larger international push. Outside Asia, iFLYTEK is targeting Europe, as trade tensions and regulatory pressures create incentives to diversify markets. It is reportedly planning offices in France and Hungary, with growth ambitions in Spain and Italy. In March 2025, Zhan cited tariffs in the US as influencing iFLYTEK’s decision to look more aggressively into Europe and the Gulf.

China’s AI giant also faces headwinds. It was placed on a US trade blacklist in 2019, making procurement of certain high-end components dependent on US approvals. To mitigate vulnerability, iFLYTEK has shifted many of its models to Huawei’s chip platforms. It developed its Xinghuo X1 large language model in partnership with Huawei, reportedly running entirely on domestic chips. The firm claims to have pushed chip efficiency from 20 per cent to nearly 80 per cent of equivalent U. S. hardware, though Huawei leadership acknowledges that domestic chips still lag behind by a generation.

Market observers note that iFLYTEK’s shift toward the Gulf aligns with governments in the UAE and Saudi Arabia pushing AI-first national strategies. However, the company must navigate regulatory, data residency and market competition risks. In the Gulf, local AI and language processing firms are emerging, and global players like Amazon and Microsoft are pressing deeper into the region.

iFLYTEK’s presence at major global events is integral to its positioning. In July 2025, at MWC Shanghai, it launched the Spark All-in-One AI Machine and Dual-Screen Translator 2.0—capable of handling translation across dozens of languages—to reinforce its push into enterprise AI. The company has also rolled out smart products such as the AINOTE Air 2 across Asia and Gulf markets, with strong uptake in multilingual productivity segments.

OpenAI chief executive Sam Altman is leading a high-stakes campaign across East Asia and the Middle East to secure investment and bolster chip supply for the company’s AI infrastructure push. He has held talks since late September in Taiwan, South Korea and Japan with leading hardware suppliers to prioritise OpenAI’s orders and expand capacity.

Altman has met with Taiwan Semiconductor Manufacturing Company and Foxconn, as well as Samsung and SK Hynix, pressing them to accelerate production and give OpenAI preferential access. In South Korea, Samsung and SK Hynix have signed letters of intent to supply memory chips for OpenAI’s data centres. Meanwhile, OpenAI plans further fundraising discussions in the United Arab Emirates.

The urgency of Altman’s mission reflects the intensifying global competition for advanced computing resources. OpenAI projects it will spend around US$16 billion this year on renting computing servers, with long-term forecasts stretching to US$400 billion by 2029 as AI models grow ever more complex.

Industry analysts note that the semiconductor supply chain remains highly constrained. TSMC dominates GPU chip production, and memory manufacturing is largely concentrated in East Asia, creating significant strategic leverage for the manufacturers approached by Altman.

As part of his tour, Altman is also pressing Japanese firms to contribute to infrastructure support. Hitachi has entered discussions to provide power transmission and distribution systems for OpenAI’s data centres, while sharing technical resources under joint development agreements.

Sources familiar with the process say Altman pushed for direct prioritisation in chip delivery schedules, asking that OpenAI receive top-tier production slots. In some cases, he proposed co-investment or co-development of next-generation AI hardware to bind partner incentives more closely.

In South Korea, early architecture proposals include planned data centres of 20 megawatts in collaboration with Samsung and SK Hynix. Altman is reportedly exploring “floating” data centre designs to manage land constraints and cooling demands.

The UAE leg of his mission is expected to involve negotiations with sovereign investment firms such as MGX and Mubadala, with the aim of funding both OpenAI’s expansion and joint infrastructure ventures in the region. In past rounds, UAE investors have already taken part in funding OpenAI operations.

Challenges remain significant. The sheer scale of chips and memory required for stacked AI model training is pushing the boundaries of global wafer fabrication capacity. Market watchers point to the high capital expenditure and long lead times in the semiconductor industry as obstacles to rapid scaling. Some of Altman’s proposals—for example, co-development of bespoke ASICs—are still in preliminary stages and face technical risk.

OpenAI’s valuation and investor backing give the company leverage. Earlier this year, it closed deals that valued it at about US$500 billion, with new capital injections from investors including SoftBank and UAE entities. Those moves have fortified its position in negotiating upstream deals with manufacturers.

A GoMining-commissioned survey of over 700 Bitcoin holders across North America and Europe reveals that 77 percent of respondents have never engaged with any BTCFi platform. Only around 8 percent say they actively use BTCFi services for lending, staking or yield generation.

The data exposes a striking contradiction: while the BTCFi sector is receiving strong investment and attention, its reach among actual Bitcoin holders remains minimal. Over 65 percent of those surveyed could not name a single BTCFi protocol, pointing to a significant awareness gap in the industry. Roughly 40 percent of respondents say they would allocate less than 20 percent of their Bitcoin to DeFi products—underscoring cautious attitudes steeped in mistrust or lack of comprehension.

GoMining CEO Mark Zalan argues the survey reflects a mismatch in product design: “There’s an enormous appetite for these opportunities, but the industry has built products for crypto natives, not for everyday Bitcoin holders.” He cautions that BTCFi platforms must prioritise simplicity, trust and education over technical sophistication if they are to attract a broader base.

Despite limited adoption, interest in BTCFi is not absent. Some 73 percent of respondents express a desire to earn yield on their Bitcoin through lending or staking, while 42 percent would like access to liquidity without selling. Yet for now those desires largely remain theoretical.

The survey publication coincides with a sharp rise in BTCFi venture capital activity. Data from industry trackers show that in the first half of 2025, funding to Bitcoin-related infrastructure, custody, and DeFi projects reached US$175 million, spread across 32 funding rounds—20 of which targeted consumer-facing applications. Total value locked in BTCFi has also climbed, hitting US$6.6 billion by mid-2025, up from modest levels just a year earlier.

Industry analysts see this as a pivotal moment. BTCFi is theoretically well-positioned: Bitcoin holders collectively control over US$1 trillion in assets, and unlocking even a small portion into yield markets would shift capital flows substantially. But bridging the adoption chasm requires more than protocol robustness—it demands user trust, transparent security models, and intuitive onboarding.

Several projects are experimenting with custodial BTCFi models that reduce user friction, essentially merging decentralised finance with familiar wallet experiences. These hybrids aim to lower the barrier to entry for mainstream holders who are wary of self-custody risks. Others are focusing on streamlined education and marketing campaigns to bring awareness of BTCFi’s value proposition to non-tech audiences, rather than relying exclusively on high-end technical features.

Skeptics argue the reliance on Ethereum’s DeFi archetype may be a poor fit for Bitcoin’s more conservative base. BTCFi protocols often demand bridging, wrapping or interacting with smart contracts—actions that alienate users comfortable with simpler vehicles like ETFs and custodial wallets. A portion of Bitcoin holders remain risk-averse by nature, preferring regulated, custodial holdings and avoiding experimental protocols.

Some in the industry suggest a phased approach: target early adopters first, establish trust metrics, then gradually roll out to mainstream holders. Others urge a revisit to design philosophy itself: ensuring BTCFi can deliver yield, liquidity and composability while behaving in a way Bitcoin users find intuitive and safe.