Economic

Universities back generative AI but guidance remains uneven

A majority of leading US research universities are encouraging the use of generative AI in teaching, according to a new study analysing institutional policies and guidance documents across higher education.

The research reviewed publicly available policies from 116 R1 universities and found that 63 percent explicitly support the use of generative AI, while 41 percent provide detailed classroom guidance. More than half of the institutions also address ethical considerations linked to AI adoption.

Most guidance focuses on writing-related activities, with far fewer references to coding or STEM applications. The study notes that while many universities promote experimentation, expectations placed on faculty can be demanding, often implying significant changes to teaching practices.

US researchers also found wide variation in how universities approach oversight. Some provide sample syllabus language and assignment design advice, while others discourage the use of AI-detection tools, citing concerns around reliability and academic trust.

The authors caution that policy statements may not reflect real classroom behaviour and say further research is needed to understand how generative AI is actually being used by educators and students in practice.

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How data centres affect electricity, prices, water consumption and jobs

Data centres have become critical infrastructure for modern economies, supporting services ranging from digital communications and online commerce to emergency response systems and financial transactions.

As AI expands, demand for cloud computing continues to accelerate, increasing the need for additional data centre capacity worldwide.

Concerns about environmental impact often focus on electricity and water use, yet recent data indicate that data centres are not primary drivers of higher power prices and consume far less water than many traditional industries.

Studies show that rising electricity costs are largely linked to grid upgrades, climate-related damage and fuel prices instead of large-scale computing facilities, while water use by data centres remains a small fraction of overall consumption.

Technological improvements have further reduced resource intensity. Operators have significantly improved water efficiency per unit of computing power, adopting closed-loop liquid cooling and advanced energy management systems.

In many regions, water is required only intermittently, with consumption levels lower than those in sectors such as clothing manufacturing, agriculture and automotive services.

Beyond digital services, data centres deliver tangible economic benefits to local communities. Large-scale investments generate construction activity, long-term technical employment and stable tax revenues, while infrastructure upgrades and skills programmes support regional development.

As cloud computing and AI continue to shape everyday life, data centres are increasingly positioned as both economic and technological anchors.

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EU moves to tax low-value e-commerce parcels

The European Commission welcomed the decision by EU Member States to introduce a €3 customs duty on low-value e-commerce parcels arriving from third countries.

A measure, which enters into force in July 2026, that applies to items valued below €150 and aims to restore fair competition instead of allowing online imports to benefit from longstanding exemptions.

The move responds to the rapid growth of cross-border e-commerce shipments and will operate as a temporary solution until the EU Customs Data Hub becomes fully operational in 2028.

Until then, the Council and the Commission will coordinate legal changes and IT systems to ensure smooth implementation and effective customs supervision across the Union.

Once the Customs Data Hub is in place, a permanent customs duty regime will replace the temporary measure, offering authorities a comprehensive view of goods entering and leaving the EU.

The €3 duty applies only to parcels sent directly to consumers and remains separate from ongoing negotiations on a handling fee intended to offset the rising operational costs faced by customs authorities.

The reform builds on earlier Commission proposals to remove duty exemptions for low-value parcels and forms part of the most extensive overhaul of EU customs rules in decades.

European institutions argue that modernised customs controls are essential instead of relying on outdated frameworks, particularly as global e-commerce volumes continue to expand.

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BBVA deepens AI partnership with OpenAI

OpenAI and BBVA have agreed on a multi-year strategic collaboration designed to embed artificial intelligence across the global banking group.

An initiative that will expand the use of ChatGPT Enterprise to all 120,000 BBVA employees, marking one of the largest enterprise deployments of generative AI in the financial sector.

The programme focuses on transforming customer interactions, internal workflows and decision making.

BBVA plans to co-develop AI-driven solutions with OpenAI to support bankers, streamline risk analysis and redesign processes such as software development and productivity support, instead of relying on fragmented digital tools.

The rollout follows earlier deployments that demonstrated strong engagement and measurable efficiency gains, with employees saving hours each week on routine tasks.

ChatGPT Enterprise will be implemented with enterprise grade security and privacy safeguards, ensuring compliance within a highly regulated environment.

Beyond internal operations, BBVA is accelerating its shift toward AI native banking by expanding customer facing services powered by OpenAI models.

The collaboration reflects a broader move among major financial institutions to integrate AI at the core of products, operations and personalised banking experiences.

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AI reshapes cybercrime investigations in India

Maharashtra police are expanding the use of an AI-powered investigation platform developed with Microsoft to tackle the rapid growth of cybercrime.

MahaCrimeOS AI, already in use across Nagpur district, will now be deployed to more than 1,100 police stations statewide, significantly accelerating case handling and investigation workflows.

The system acts as an investigation copilot, automating complaint intake, evidence extraction and legal documentation across multiple languages.

Officers can analyse transaction trails, request data from banks and telecom providers and follow standardised investigation pathways, instead of relying on slow manual processes.

Built using Microsoft Foundry and Azure OpenAI Service, MahaCrimeOS AI integrates policing protocols, criminal law references and open-source intelligence.

Investigators report major efficiency gains, handling several cases monthly where only one was previously possible, while maintaining procedural accuracy and accountability.

The initiative highlights how responsible AI deployment can strengthen public institutions.

By reducing administrative burden and improving investigative capacity, the platform allows officers to focus on victim support and crime resolution, marking a broader shift toward AI-assisted governance in India.

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Mercedes-Benz nominates new supervisory board members to drive AI and sustainability

Mercedes-Benz Group AG has announced planned changes to its Supervisory Board, proposing the appointment of Katharina Beumelburg and Rashmi Misra at the company’s 2026 Annual General Meeting.

The move is intended to strengthen the board’s expertise in sustainability, industrial transformation, and AI, reflecting the company’s strategic focus on decarbonisation and digital innovation.

Beumelburg brings extensive experience in global sustainability and energy transition from roles at Heidelberg Materials, SLB, and Siemens. At the same time, Misra brings deep expertise in AI and emerging technologies, having held senior positions at Analogue Devices and Microsoft.

They will succeed Dame Polly Courtice and Prof. Dr Helene Svahn, who will step down in April 2026 after contributing to Mercedes-Benz’s strategic development in recent years.

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Chinese tech giant bolsters AI ambitions with new foundation model division

Huawei Technologies is intensifying its AI strategy with the establishment of a dedicated foundation model unit within its 2012 Laboratories research arm, reflecting the heightened competition among China’s major tech companies to develop advanced AI systems.

A recruitment advertisement posted in October signals that the Shenzhen-based telecom and tech giant is proactively wooing global AI talent to assemble a world-class team focused on foundational model development.

Huawei has confirmed the establishment of the unit but has offered few operational details.

Richard Yu Chengdong, head of Huawei’s consumer group and newly appointed chairman of the Investment Review Board overseeing AI strategy, has personally promoted the drive on social media, urging young engineers to help ‘make the world’s most powerful AI.’

This movement underscores Huawei’s broader ambition to challenge both domestic rivals and Western AI leaders in core areas of generative AI technology.

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How AI is powering smarter digital maps for commercial fleets

AI is increasingly embedded in digital mapping systems used by commercial fleets, transforming static navigation tools into adaptive decision-making platforms.

These AI-powered systems ingest real-time data from vehicles, traffic feeds, weather, and sensors to optimise routes and operations continuously.

For fleet operators, this enables more accurate arrival times, reduced fuel consumption, and faster responses to disruptions such as congestion or road closures. AI models can also anticipate problems before they occur by identifying patterns in historical and live data.

Smarter maps support broader fleet intelligence, including predictive maintenance, driver behaviour analysis, and compliance monitoring. Mapping platforms are becoming core operational infrastructure rather than auxiliary navigation tools.

As logistics networks become increasingly complex, AI-driven mapping is emerging as a competitive necessity for commercial fleets seeking efficiency, resilience, and scalability.

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OpenAI outlines safeguards as AI cyber capabilities advance

Cyber capabilities in advanced AI models are improving rapidly, delivering clear benefits for cyberdefence while introducing new dual-use risks that require careful management, according to OpenAI’s latest assessment.

The company points to sharp gains in capture-the-flag performance, with success rates rising from 27 percent in August to 76 percent by November 2025. OpenAI says future models could reach high cyber capability, including assistance with sophisticated intrusion techniques.

To address this, OpenAI says it is prioritising defensive use cases, investing in tools that help security teams audit code, patch vulnerabilities, and respond more effectively to threats. The goal is to give defenders an advantage in an often under-resourced environment.

OpenAI argues that cybersecurity cannot be governed through a single safeguard, as defensive and offensive techniques overlap. Instead, it applies a defence-in-depth approach that combines access controls, monitoring, detection systems, and extensive red teaming to limit misuse.

Alongside these measures, the company plans new initiatives, including trusted access programmes for defenders, agent-based security tools in private testing, and the creation of a Frontier Risk Council. OpenAI says these efforts reflect a long-term commitment to cyber resilience.

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Disney backs OpenAI with $1bn investment and licensing pact

The Walt Disney Company has struck a landmark agreement with OpenAI, becoming the first major content licensing partner on Sora, the AI company’s short-form generative video platform.

Under the three-year deal, Sora will generate short videos using more than 200 animated and creature characters from Disney, Pixar, Marvel, and Star Wars. The licence also covers ChatGPT Images, excluding talent likenesses and voices.

Beyond licensing, Disney will become a major OpenAI customer, using its APIs to develop new products and experiences, including for Disney+, while deploying ChatGPT internally across its workforce. Disney will also make a $1 billion equity investment in OpenAI and receive warrants for additional shares.

Both companies frame the partnership as a test case for responsible AI in creative industries. Executives say the agreement is designed to expand storytelling possibilities while protecting creators’ rights, user safety, and intellectual property across platforms.

Subject to final approvals, Sora-generated Disney content is expected to begin rolling out in early 2026. Curated selections may appear on Disney+, marking a new phase in how established entertainment brands engage with generative AI tools.

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