Life sciences face rising pressure as regulators change expectations

Regulatory uncertainty has long shaped life sciences, but 2025 marked a shift in expectations. Authorities are focusing more on how companies operate in practice. Enforcement activity continues to signal sustained scrutiny.

Regulators across federal and state agencies are coordinating more closely. Attention is centred on digital system validation, AI-supported documentation, reimbursement processes, and third-party oversight. Flexibility in digital tools is no longer assumed.

Inspection priorities now extend beyond manufacturing quality. Regulators are examining governance of automated analyses, review of AI-generated records, and data consistency in decentralised trials. Clear documentation is becoming critical.

A similar shift is visible in reimbursement and data oversight. Authorities want insight into governance behind pricing, reporting, and data handling. Privacy enforcement now focuses on data flows, AI training data, and third-party access.

Looking ahead to 2026, scrutiny is expected to intensify around AI inspection standards and data sharing. Regulators are signalling higher expectations for transparency and accountability. Sound judgement and consistency may prove decisive.

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AI growth changes the cycle for memory chip manufacturers

The growing demand for AI is reshaping the fortunes of the memory chip industry, according to leading manufacturers, who argue that the scale of AI investment is altering the sector’s typical boom-and-bust pattern.

The technology is creating more structural demand, rather than the sharp cyclical spikes that previously defined the market.

AI workloads depend heavily on robust memory systems, particularly as companies expand data centre capacity worldwide. Major chipmakers now expect steadier growth because AI models require vast data handling rather than one-off hardware surges.

Analysts suggest it could reduce the volatility that has often led to painful downturns for the industry.

Additionally, some reports claim that Japanese technology group Rakuten is prioritising low-cost AI development to improve profitability across its businesses.

Its AI leadership stresses the need to deploy systems that maximise margins instead of simply chasing capability for its own sake.

The developments underscore how AI is not only transforming software and services but also reshaping the economics of the hardware required to power them, from memory chips to cloud infrastructure on a global scale.

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ByteDance prepares major AI investment for 2026

ByteDance plans a major jump in AI spending next year as global chip access remains uncertain. The firm is preparing heavier investment in processors and infrastructure to support demanding models across its apps and cloud platforms.

The company is budgeting nearly nine billion pounds for AI chips despite strict US export rules. A potential trial purchase of Nvidia H200 hardware could expand its computing capacity if wider access is approved for Chinese firms.

Rivals in the US continue to outspend ByteDance, with large tech groups pouring hundreds of billions into data centres. Chinese platforms face tighter limits and are developing models that run efficiently with fewer resources.

ByteDance’s consumer AI ecosystem keeps accelerating, led by its Doubao chatbot and growing cloud business. Private ownership gives the firm flexibility to invest aggressively while placing AI at the heart of its long-term strategy.

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AI reshapes the future of influenza prevention

Seasonal influenza remains a significant global health burden, causing millions of severe infections and significant mortality each year, according to World Health Organisation estimates released in early 2025.

In several regions, flu activity has returned to or surpassed pre-pandemic levels, placing older adults, young children, and individuals with chronic conditions at the highest risk. Such patterns reinforce the need for improved prevention strategies and more effective vaccines.

Efforts to control influenza are challenged by the virus’s rapid mutation and the limitations of traditional laboratory methods. AI and machine learning are emerging as powerful tools for predicting antigenic changes, enhancing vaccine strain selection, and accelerating manufacturing.

Beyond vaccine development, AI-driven models are enhancing infection monitoring and immune response analysis by leveraging routine clinical data. These advances enhance surveillance and pave the way for personalised influenza prevention and treatment.

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Russian Central Bank outlines new rules for crypto investors

The Central Bank of Russia has introduced a detailed proposal aimed at bringing cryptocurrencies under a unified regulatory framework, marking a significant step towards formal legal recognition of digital assets.

Under the proposal, both qualified and non-qualified investors would be permitted to purchase cryptocurrencies. Investor status would be determined by factors such as education, professional background, income level, and asset holdings.

Non-qualified investors would be restricted to buying up to 300,000 roubles worth of crypto per year through authorised intermediaries.

Digital currencies and stablecoins would be classified as currency values under Russian law, yet their use as a means of payment for goods and services would remain prohibited. The framework maintains the state’s long-standing opposition to domestic crypto payments.

Russian residents would also gain the right to purchase and transfer crypto assets abroad, provided such transactions are reported to the Federal Tax Service. The central bank aims to finalise the legislative groundwork by 1 July 2026.

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AI drives Vietnam’s smart city expansion

AI is becoming central to Vietnam’s urban development as major cities adopt data-led systems. Leaders at the Vietnam–Asia Smart City Summit said AI now shapes planning, service delivery and daily operations nationwide.

Experts noted rising pressure on cities, with congestion, pollution and population growth driving demand for more innovative governance. AI is helping authorities shift towards proactive management, using forecasting tools, shared data platforms and real-time supervision.

Speakers highlighted deployments across transport control, environmental monitoring, disaster alerts and administrative oversight. Hanoi and Da Nang presented advanced models, with Da Nang recognised again for achievements in green development and digital operations.

Delegates agreed that long-term progress depends on strong data foundations, closer coordination and clear strategic roadmaps in Vietnam. Many stressed that technology must prioritise public benefit, with citizens placed at the centre of smart-city design.

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Florida moves ahead with new AI Bill of Rights

Florida lawmakers are preparing a sweeping AI Bill of Rights as political debates intensify. Senator Tom Leek introduced a proposal to provide residents with clearer safeguards while regulating how firms utilise advanced systems across the state.

The plan outlines parental control over minors’ interactions with AI and requires disclosure when people engage with automated systems. It also sets boundaries on political advertising created with AI and restricts state contracts with suppliers linked to countries of concern.

Governor Ron DeSantis maintains Florida can advance its agenda despite federal attempts to curb state-level AI rules. He argues the state has the authority to defend consumers while managing the rising costs of new data centre developments.

Democratic lawmakers have raised concerns about young users forming harmful online bonds with AI companions, prompting calls for stronger protections. The legislation now forms part of a broader clash over online safety, privacy rights and fast-growing AI industries.

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Canada’s productivity gap drives new push for AI

Canada’s productivity gap is expected to accelerate nationwide adoption of AI in 2026, according to leading legal and industry experts. Businesses and governments are moving from experimentation to deployment as pressure mounts to improve economic performance.

Canada retains strong research credentials and a responsible AI culture, yet still trails in compute capacity and commercial scaling. Major investments scheduled for 2026 are expected to support emerging demand across sectors.

Firms are seeking clearer national rules to guide the safe adoption of AI, especially regarding privacy and governance. Ottawa’s recent research and talent programme aims to attract global experts and strengthen commercial pathways.

Industry leaders expect AI agents to gain prominence by 2027, increasing the need for human oversight and trust. Policymakers and companies are urged to strike a balance between rapid innovation and clarity, confidence, and long-term productivity goals.

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Italy fines Apple €98 million over App Store competition breach

Apple has been fined €98 million by Italy’s competition authority after regulators concluded that its App Tracking Transparency framework distorted competition in the app store market.

Authorities stated that the policy strengthened Apple’s dominant position while limiting how third-party developers collect advertising data.

The investigation found that developers were required to request consent multiple times for the same data processing purposes, creating friction that disproportionately affected competitors.

Regulators in Italy argued that equivalent privacy protections could have been achieved through a single consent mechanism instead of duplicated prompts.

According to the Italian authority, the rules were imposed unilaterally across the App Store ecosystem and harmed commercial partners reliant on targeted advertising. The watchdog also questioned whether the policy was proportionate from a data protection perspective under the EU law.

Apple rejected the findings and confirmed plans to appeal, stating that App Tracking Transparency prioritises user privacy over the interests of ad technology firms.

The decision follows similar penalties and warnings issued in France and Germany, reinforcing broader European scrutiny of platform governance.

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5G network slicing strengthens Madrid emergency communications

Madrid has strengthened emergency response capabilities through a new collaboration between Orange and Ericsson, integrating a dedicated slice within Orange’s 5G Standalone network.

Advanced radio access and core technologies allow emergency teams to operate on prioritised connectivity during high network demand.

Police, fire and medical services benefit from guaranteed bandwidth and low-latency communications, ensuring uninterrupted coordination during incidents.

The infrastructure by Ericsson enables dynamic switching between public 5G and emergency spectrum, supporting rapid deployment when physical networks are compromised.

Resilience remains central to the design, with autonomous power systems and redundancy maintaining operations during outages. Live video transmission from firefighters’ helmets illustrates how real time data improves risk assessment and decision making on the ground.

By combining telecom innovation with public safety needs, the initiative reinforces Madrid’s role in the emergency communications leadership of the EU and demonstrates how 5G can support critical services at scale.

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