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State Street Corporation, a global asset management firm managing over $5.1 trillion in assets, has announced a significant shift in investment strategy, revealing that 60% of institutional investors plan to expand their allocations in Bitcoin and other cryptocurrencies. This move marks a notable change in the traditionally cautious stance of institutional investors toward digital assets.

The Boston-based firm’s latest report sheds light on the growing momentum in the crypto market, despite its historically volatile nature. The increase in institutional interest comes amidst an evolving regulatory landscape and a heightened focus on digital assets as an emerging class of investments. State Street’s research found that institutional investors, especially pension funds, endowments, and family offices, are increasingly viewing cryptocurrencies as viable long-term assets rather than speculative investments.

The surge in interest is partly driven by the evolving understanding of blockchain technology and its potential to revolutionise various industries. Many institutional investors, once sceptical of cryptocurrencies, are now integrating digital assets into their portfolios as part of a broader diversification strategy. State Street’s report highlights that over the next two years, the shift towards Bitcoin and crypto could lead to a more balanced investment portfolio for many institutional players.

One of the key drivers of this shift is the increasing recognition of Bitcoin as a store of value, akin to gold. With inflationary pressures persisting in traditional markets, many institutional investors are seeking alternative assets that offer the potential for significant returns, coupled with a hedge against inflation. In fact, Bitcoin’s rise over the past few years has been compared to the gold rush, attracting both institutional and retail investors keen on capitalising on its perceived scarcity.

The report highlights the rising number of crypto-friendly regulatory frameworks being developed globally. Governments and regulators in key markets, including the US and Europe, are progressively aligning with the crypto industry’s growth. Recent regulatory clarity is expected to further boost institutional confidence, providing a more stable environment for investors. This shift in regulatory attitudes signals a broader acceptance of digital currencies in the financial system.

The institutional appetite for cryptocurrencies is being encouraged by the increasing number of crypto-focused financial products. Bitcoin futures, exchange-traded funds, and custodial services have become more accessible, offering institutional investors a secure and regulated pathway into the crypto market. Major players like BlackRock and Fidelity have already launched Bitcoin ETFs, catering to the rising demand for digital asset exposure.

Despite the optimistic outlook, challenges remain. The volatility of cryptocurrencies, the risk of regulatory changes, and concerns over security are factors that continue to cause hesitation among some institutional investors. However, the growing presence of crypto in mainstream finance is undeniably reshaping perceptions and broadening the scope of opportunities within the digital asset space.

State Street’s survey also highlighted a shift in the broader financial ecosystem. As crypto adoption increases among institutional investors, the traditional financial sector is also ramping up efforts to integrate blockchain technology into its operations. From clearing and settlement systems to cross-border payments, blockchain is beginning to be recognised for its potential to enhance efficiency and transparency in financial transactions.

Portuguese quantum computing firm Quantica Tech has revealed a new digital currency, Quantic Bitcoin, engineered to resist attacks from future quantum computers. The project rests on a proprietary “Quantum Interoperability” protocol designed to allow conventional blockchains and quantum‐era architectures to communicate and co-operate.

BTCQ is intended to preserve Bitcoin’s proof-of-work consensus but replace vulnerable cryptographic signatures with algorithms that conform to NIST-approved post-quantum standards. In transitional phases, the system runs quantum algorithm emulation on classical hardware—enabling development without immediate dependence on quantum hardware. Quantica has also introduced tiered fractional units, named Photons, Quarks and Bosons, to mirror Bitcoin’s Satoshi model at microtransaction scale.

The announcement reflects intensifying concern within cryptographic and blockchain communities about quantum threats to existing systems. Shor’s algorithm, for instance, is capable of undermining widely used public-key schemes, such as ECDSA, that secure most cryptocurrencies today. A literature review of quantum impacts on blockchain estimates that, although scalable quantum machines remain a work in progress, the threat horizon is accelerating, pushing many in the industry to preemptively explore quantum-safe alternatives.

Quantica says its interoperability protocol enables smart contracts in languages such as Solidity, Rust, Plutus and Vyper to invoke quantum layer functions through external script calls. The firm claims it has already shared the initial design of that protocol with the scientific community, though specific cryptographic details remain withheld. Plans are in place to issue Simple Agreements for Future Tokens in late 2025 and conduct a pre-sale of the token units ahead of public launch. The company is also working in parallel on related projects—Quanticacoin, USDT-Q and Q-Solana—to extend its quantum-capable ecosystem.

BTCQ joins a growing number of blockchain initiatives adopting quantum-resistant techniques. The Quantum Resistant Ledger, for example, has long leveraged XMSS to offer protection against quantum attacks, and many networks have begun integrating lattice-based or hash-based post-quantum cryptography.

Still, implementation and security challenges loom. Recent academic analysis warns that purely algorithmic guarantees do not suffice; side-channel attacks and hardware vulnerabilities may undermine post-quantum schemes if not carefully addressed. Analysts caution that the “harvest now, decrypt later” risk remains active: encrypted data captured today may be decrypted when quantum capabilities mature.

Market reception has been cautious. Many observers view Quantica’s claims as ambitious, given the dearth of open cryptographic proofs or independent audits so far. Some see the project as an early bet on quantum transition rather than an immediate substitute for existing value chains. Others argue the broader utility of quantum-resistant assets will depend heavily on regulatory frameworks, interoperability standards, and community adoption.

Quantica’s announcement arrives against the backdrop of intensifying activity in quantum and cryptographic infrastructure. Hardware vendors and research institutions are racing to scale error correction, qubit coherence and interconnects. Meanwhile, financial and security firms are preparing migration strategies for sensitive systems. Among commercial players, SEALSQ has unveiled hybrid cryptographic hardware intended to safeguard blockchain systems and IoT devices against quantum attacks.

Quantica has positioned BTCQ’s development as a shift from theoretical readiness to pragmatic construction. The firm contends it can build bridges between classical chains and quantum systems without heavy disruption to existing protocols. Early access via SAFTs and token presales aim to bootstrap an ecosystem of developers and enthusiasts.

Abu Dhabi’s Department of Health will present a portfolio of artificial intelligence–based healthcare solutions at the upcoming GITEX Global 2025 event in Dubai. The showcase is intended to reinforce the emirate’s ambitions to lead in digital health transformation and embed AI into clinical and public health systems.

DoH plans to display tools ranging from predictive diagnostics to personalised wellness platforms, emphasising preventive care and data-driven interventions. H. E. Dr Noura Khamis Al Ghaithi, Undersecretary of DoH, stated that leveraging AI is central to “reshaping how care is delivered” and enabling people to “live healthier, longer lives.”

The Abu Dhabi delegation will also highlight the emirate’s efforts to integrate AI across healthcare infrastructure, including hospital systems and community services. As part of the pitch, DoH intends to advance models that predict health risks, flag early disease onset, and streamline patient journeys from diagnosis to treatment.

The timing of this unveiling aligns with Abu Dhabi’s broader push into AI research and high-tech partnerships. In September 2025, Nvidia and Abu Dhabi’s Technology Innovation Institute launched a joint lab focusing on robotics and advanced AI models, including deployment of Nvidia’s “Thor” chip for robotic applications. That initiative is part of the UAE’s wider effort to become a global AI player.

At GITEX Global—a technology exhibition scheduled from 13 to 17 October at the Dubai World Trade Centre—the DigiHealth & Biotech track is expected to draw startups, tech firms and health ministries showcasing innovations across genomics, diagnostics, telemedicine and biotech. The exhibition emphasises frontier domains: physical AI, quantum computing, semiconductors and data-centre infrastructure.

Abu Dhabi is also seeking to signal that its AI investments are more than pilot projects. Through collaborations with private technology firms, academic institutions and regional health authorities, DoH aims to build a scalable, interoperable health data ecosystem. Under its strategy, AI modules would be deployed not just in tertiary hospitals, but in primary care, clinics, remote monitoring and wellness programmes.

Critics point to challenges ahead, including data privacy, algorithmic bias, regulatory oversight and integration with legacy systems. Effective AI deployment in health requires robust patient consent frameworks, transparent models and continuous validation across diverse populations. Observers note that many AI health systems falter when scaled beyond controlled environments.

Omnix International will unveil its HOT Systems suite—built in collaboration with PNY—at GITEX Global Dubai from 13 to 17 October, spotlighting AI workstations, liquid-cooled laptops and a new system-monitoring tool dubbed HOT Guard.

Visitors to the Hall 5, Booth 30 installation will see across-industry demonstrations—architecture, engineering, media, research—illustrating how tailored hardware accelerates digital transformation, reduces thermal throttling, and boosts reliability under sustained loads. HOT Guard introduces a continuous monitoring layer that oversees thermal behaviour, utilisation and system health, integrated with Omnix’s Hardware Optimization Technology stack.

The partnership with PNY ensures integration of high-performance memory and NVIDIA RTX graphics. PNY’s regional manager for MEA, Talus A Arukalil, emphasised that this collaboration positions the company to deliver “technology that doesn’t just keep pace with the future but defines it in the region.” On the HOT Systems side, Joseph John, Regional Sales Manager, asserted that the hardware is engineered “for today’s demands and tomorrow’s innovation,” targeting sectors where sustained compute power and system stability matter most.

According to Omnix’s own announcements, the new laptop models under the HOT Systems brand will be equipped with cutting-edge silicon—Intel Core Ultra 9 200HX or AMD Ryzen 9000 HX—matched with NVIDIA RTX 5080/5090 GPUs, DDR5 memory up to 128 GB, PCIe Gen 5 SSDs, Wi-Fi 7 and optional liquid cooling. These designs aim to balance high thermal headroom with energy efficiency and sustained performance even under intense workloads such as CAD, simulation and AI/ML inference.

Liquid cooling in a laptop format is still relatively rare. During previews, the company has framed this design choice as essential for holding consistent clock speeds over long renders or training sessions, reducing throttling under heat stress. As TBreak put it, the “pitch is stable clocks over flash specs,” targeting firms that can’t afford dips in performance mid-job.

With the industry steadily shifting from experimental AI use cases to full deployment, enterprises are increasingly looking for turnkey, dependable solutions—not just proof-of-concepts. In this environment, Omnix seeks to differentiate itself by offering not just hardware, but optimised stacks, monitoring, service support and aligned component integration.

GITEX Global 2025 is expected to host over 6,800 exhibitors from around 180 countries, showing advances across semiconductors, data centres, quantum computing, biotech and AI infrastructure. With global AI infrastructure investments accelerating sharply, regional companies and integrators are keen to showcase solutions tailored to local conditions—particularly in arid climates and metropolises with high operating temperatures.

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.