Economic

Olympic ice dancers performing to AI-generated music spark controversy

The Olympic ice dance format combines a themed rhythm dance with a free dance. For the 2026 season, skaters must draw on 1990s music and styles. While most competitors chose recognisable tracks, the Czech siblings used a hybrid soundtrack blending AC/DC with an AI-generated music piece.

Katerina Mrazkova and Daniel Mrazek, ice dancers from Czechia, made their Olympic debut using a rhythm dance soundtrack that included AI-generated music, a choice permitted under current competition rules but one that quickly drew attention.

The International Skating Union lists the rhythm dance music as ‘One Two by AI (of 90s style Bon Jovi)’ alongside ‘Thunderstruck’ by AC/DC. Olympic organisers confirmed the use of AI-generated material, with commentators noting the choice during the broadcast.

Criticism of the music selection extends beyond novelty. Earlier versions of the programme reportedly included AI-generated music with lyrics that closely resembled lines from well-known 1990s songs, raising concerns about originality.

The episode reflects wider tensions across creative industries, where generative tools increasingly produce outputs that closely mirror existing works. For the athletes, attention remains on performance, but questions around authorship and creative value continue to surface.

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India enforces a three-hour removal rule for AI-generated deepfake content

Strict new rules have been introduced in India for social media platforms in an effort to curb the spread of AI-generated and deepfake material.

Platforms must label synthetic content clearly and remove flagged posts within three hours instead of allowing manipulated material to circulate unchecked. Government notifications and court orders will trigger mandatory action, creating a fast-response mechanism for potentially harmful posts.

Officials argue that rapid removal is essential as deepfakes grow more convincing and more accessible.

Synthetic media has already raised concerns about public safety, misinformation and reputational harm, prompting the government to strengthen oversight of online platforms and their handling of AI-generated imagery.

The measure forms part of a broader push by India to regulate digital environments and anticipate the risks linked to advanced AI tools.

Authorities maintain that early intervention and transparency around manipulated content are vital for public trust, particularly during periods of political sensitivity or high social tension.

Platforms are now expected to align swiftly with the guidelines and cooperate with legal instructions. The government views strict labelling and rapid takedowns as necessary steps to protect users and uphold the integrity of online communication across India.

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Slovenia sets out an ambitious AI vision ahead of global summit

Ambitions for AI were outlined during a presentation at the Jožef Stefan Institute, where Slovenia’s Prime Minister Robert Golob highlighted the country’s growing role in scientific research and technological innovation.

He argued that AI has moved far beyond a supportive research tool and is now shaping the way societies function.

He called for deeper cooperation between engineering and the natural sciences instead of isolated efforts, while stressing that social sciences and the humanities must also be involved to secure balanced development.

Golob welcomed the joint bid for a new national supercomputer, noting that institutions once competing for excellence are now collaborating. He said Europe must build a stronger collective capacity if it wants to keep pace with the US and China.

Europe may excel in knowledge, he added, yet it continues to lag behind in turning that knowledge into useful tools for society.

Government officials set out the investment increases that support Slovenia’s long-term scientific agenda. Funding for research, innovation and development has risen sharply, while work has begun on two major projects: the national supercomputer and the Centre of Excellence for Artificial Intelligence.

Leaders from the Jožef Stefan Institute praised the government for recognising Slovenia’s AI potential and strengthening financial support.

Slovenia will present its progress at next week’s AI Action Summit in Paris, where global leaders, researchers, civil society and industry representatives will discuss sustainable AI standards.

Officials said that sustained investment in knowledge remains the most reliable route to social progress and international competitiveness.

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Anthropic drives strategic trademark dispute in India

US AI company Anthropic’s expansion into India has triggered a legal dispute with a Bengaluru-based software firm that claims it has used the name ‘Anthropic’ since 2017. The Indian company argues that the US AI firm’s market entry has caused customer confusion. It is seeking recognition of prior use and damages of ₹10 million.

A commercial court in Karnataka has issued notice and suit summons to Anthropic but declined to grant an interim injunction. Further hearings are scheduled. The local firm says it prefers coexistence but turned to litigation due to growing marketplace confusion.

The dispute comes as India becomes a key growth market for global AI companies. Anthropic recently announced local leadership and expanded operations in the country. India’s large digital economy and upcoming AI industry events reinforce its strategic importance.

The case also highlights broader challenges linked to the rapid global expansion of AI firms. Trademark protection, brand due diligence, and regulatory clarity are increasingly central to cross-border digital market entry.

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EU Court opens path for WhatsApp to contest privacy rulings

The Court of Justice of the EU has ruled that WhatsApp can challenge an EDPB decision directly in European courts. Judges confirmed that firms may seek annulment when a decision affects them directly instead of relying solely on national procedures.

A ruling that reshapes how companies defend their interests under the GDPR framework.

The judgment centres on a 2021 instruction from the EDPB to Ireland’s Data Protection Commission regarding the enforcement of data protection rules against WhatsApp.

European regulators argued that only national authorities were formal recipients of these decisions. The court found that companies should be granted standing when their commercial rights are at stake.

By confirming this route, the court has created an important precedent for businesses facing cross-border investigations. Companies will be able to contest EDPB decisions at EU level rather than moving first through national courts, a shift that may influence future GDPR enforcement cases across the Union.

Legal observers expect more direct challenges as organisations adjust their compliance strategies. The outcome strengthens judicial oversight of the EDPB and could reshape the balance between national regulators and EU-level bodies in data protection governance.

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Structural friction, not intelligence, is holding back agentic AI

CIO leadership commentary highlights that many organisations investing in agentic AI, autonomous AI agents designed to execute complex, multi-step tasks, encounter disappointing results when deployments focus solely on outcomes like speed or cost savings without addressing underlying system design challenges.

The so-called ‘friction tax’ arises from siloed data, disjointed workflows and tools that force employees to act as manual connectors between systems, negating much of the theoretical efficiency AI promises.

The author proposes an ‘architecture of flow’ as a solution, in which context is unified across systems and AI agents operate on shared data and protocols, enabling work to move seamlessly between functions without bottlenecks.

This approach prioritises employee experience and customer value, enabling context-rich automation that reduces repetitive work and improves user satisfaction.

Key elements of such an architecture include universal context layers (e.g. standard protocols for data sharing) and agentic orchestration mechanisms that help specialised AI agents communicate and coordinate tasks across complex workflows.

When implemented effectively, this reduces cognitive load, strengthens adoption, and makes business growth a natural result of friction-free operations.

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Conversational advertising takes the stage as ChatGPT tests in-chat promotions

Advertising inside ChatGPT marks a shift in where commercial messages appear, not a break from how advertising works. AI systems have shaped search, social media, and recommendations for years, but conversational interfaces make those decisions more visible during moments of exploration.

Unlike search or social formats, conversational advertising operates inside dialogue. Ads appear because users are already asking questions or seeking clarity. Relevance is built through context rather than keywords, changing when information is encountered rather than how decisions are made.

In healthcare and clinical research, this distinction matters. Conversational ads cannot enroll patients directly, but they may raise awareness earlier in patient journeys and shape later discussions with clinicians and care providers.

Early rollout will be limited to free or low-cost ChatGPT tiers, likely skewing exposure towards patients and caregivers. As with earlier platforms, sensitive categories may remain restricted until governance and safeguards mature.

The main risks are organisational rather than technical. New channels will not fix unclear value propositions or operational bottlenecks. Conversational advertising changes visibility, not fundamentals, and success will depend on responsible integration.

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Europe’s 2025 app market shows a downloads-revenue gap

The mobile app market of Europe in 2025 revealed a distinct divergence between popularity and revenue. AI-driven productivity apps, such as ChatGPT and Google Gemini, dominated downloads, alongside shopping platforms including Temu, SHEIN, and Vinted.

While installs highlight user preferences, active use and monetisation patterns tell a very different story instead of merely reflecting popularity.

Downloads for the top apps show ChatGPT leading with over 64 million, followed by Temu with nearly 44 million. Other widely downloaded apps included Threads, TikTok, CapCut, WhatsApp, Revolut and Lidl Plus.

The prevalence of AI and shopping apps underscores the shift of tools from professional use to everyday tasks, as Europeans increasingly rely on digital services for work, study and leisure.

Revenue patterns diverge sharply from download rankings. TikTok generated €740 million, followed by ChatGPT at €448 million and Tinder at €429 million. Subscription-based and premium-feature apps, including Disney+, Amazon Prime, Google One and YouTube, also rank highly.

In-app spending, rather than download numbers, drives earnings, revealing the importance of monetisation strategies beyond pure popularity.

Regional trends emphasise local priorities. The UK favours domestic finance and public service apps such as Monzo, Tesco, GOV.UK ID Check and HMRC, while Turkey shows strong use of national government, telecom and e-commerce apps, including e-Devlet Kapısı, Turkcell and Trendyol.

These variations highlight how app consumption reflects cultural preferences and the role of domestic services in digital life.

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AI model promises faster monoclonal antibody production

Researchers at the University of Oklahoma have developed a machine-learning model that could significantly speed up the manufacturing of monoclonal antibodies, a fast-growing class of therapies used to treat cancer, autoimmune disorders, and other diseases.

The study, published in Communications Engineering, targets delays in selecting high-performing cell lines during antibody production. Output varies widely between Chinese hamster ovary cell clones, forcing manufacturers to spend weeks screening for high yields.

By analysing early growth data, the researchers trained a model to predict antibody productivity far earlier in the process. Using only the first 9 days of data, it forecast production trends through day 16 and identified higher-performing clones in more than 76% of tests.

The model was developed with Oklahoma-based contract manufacturer Wheeler Bio, combining production data with established growth equations. Although further validation is needed, early results suggest shorter timelines and lower manufacturing costs.

The work forms part of a wider US-funded programme to strengthen biotechnology manufacturing capacity, highlighting how AI is being applied to practical industrial bottlenecks rather than solely to laboratory experimentation.

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Enterprise AI security evolves as Cisco expands AI Defense capabilities

Cisco has announced a major update to its AI Defense platform as enterprise AI evolves from chat tools into autonomous agents. The company says AI security priorities are shifting from controlling outputs to protecting complex agent-driven systems.

The update strengthens end-to-end AI supply chain security by scanning third-party models, datasets, and tools used in development workflows. New inventory features help organisations track provenance and governance across AI resources.

Cisco has also expanded algorithmic red teaming through an upgraded AI Validation interface. The system enables adaptive multi-turn testing and aligns security assessments with NIST, MITRE, and OWASP frameworks.

Runtime protections now reflect the growing autonomy of AI agents. Cisco AI Defense inspects agent-to-tool interactions in real time, adding guardrails to prevent data leakage and malicious task execution.

Cisco says the update responds to the rapid operationalisation of AI across enterprises. The company argues that effective AI security now requires continuous visibility, automated testing, and real-time controls that scale with autonomy.

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