Digital standards

Google Cloud study shows AI agents driving global business growth

A new Google Cloud study indicates that more than half of global enterprises are already using AI agents, with many reporting consistent revenue growth and faster return on investment.

The research, based on a survey of 3,466 executives across 24 countries, suggests agentic AI is moving from trial projects to large-scale deployment.

The findings by Google Cloud reveal that 52% of executives said their organisations actively use AI agents, while 39% reported launching more than ten. A group of early adopters, representing 13% of respondents, have gone further by dedicating at least half of their future AI budgets to agentic AI.

These companies are embedding agents across operations and are more likely to report returns in customer service, marketing, cybersecurity and software development.

The report also highlights how industries are tailoring adoption. Financial services focus on fraud detection, retail uses agents for quality control, and telecom operators apply them for network automation.

Regional variations are notable: European companies prioritise tech support, Latin American firms lean on marketing, while Asia-Pacific enterprises emphasise customer service.

Although enthusiasm is strong, challenges remain. Executives cited data privacy, security and integration with existing systems as key concerns.

Google Cloud executives said that early adopters are not only automating tasks but also reshaping business processes, with 2025 expected to mark a shift towards embedding AI intelligence directly into operations.

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Fintech CISO says AI is reshaping cybersecurity skills

Financial services firms are adapting rapidly to the rise of AI in cybersecurity, according to David Ramirez, CISO at Broadridge. He said AI is changing the balance between attackers and defenders while also reshaping the skills security teams require.

On the defensive side, AI is already streamlining governance, risk management and compliance tasks, while also speeding up incident detection and training. He highlighted its growing role in areas like access management and data loss prevention.

He also stressed the importance of aligning cyber strategy with business goals and improving board-level visibility. While AI tools are advancing quickly, he urged CISOs not to lose sight of risk assessments and fundamentals in building resilient systems.

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OpenAI set to spend $10bn on Broadcom AI chips

OpenAI has reportedly placed a $10bn order with Broadcom to mass-produce custom AI chips, due for shipment in 2026. Sources told the Financial Times that the move would help reduce OpenAI’s dependence on Nvidia, its primary supplier.

Sam Altman recently said OpenAI will use ‘well over 1m GPUs’ by the end of 2025, highlighting the company’s accelerating demand for computing power. In contrast, Elon Musk’s xAI is expected to double its Nvidia Hopper GPUs to around 200,000.

Broadcom confirmed a large custom chip order during its latest earnings call, without naming the buyer. The company’s AI revenue rose 63 percent to $5.2bn, chip sales grew 57 percent to $9.1bn, and shares gained nearly 5 percent.

The new order is expected to be for internal use rather than external customers. Industry observers suggest that OpenAI’s decision signals a strategic shift, allowing the ChatGPT maker to secure supply for its AI expansion while diversifying beyond Nvidia.

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Hollywood’s Warner Bros. Discovery challenge an AI firm over copyright claims

Warner Bros. Discovery has filed a lawsuit against AI company Midjourney, accusing it of large-scale infringement of its intellectual property. The move follows similar actions by Disney and Universal, signalling growing pressure from major studios on AI image and video generators.

The filing includes examples of Midjourney-produced images featuring DC Comics, Looney Tunes and Rick and Morty characters. Warner Bros. Discovery argues that such output undermines its business model, which relies heavily on licensed images and merchandise.

The studio also claims Midjourney profits from copyright-protected works through its subscription services and the ‘Midjourney TV’ platform.

A central question in the case is whether AI-generated material reproducing copyrighted characters constitutes infringement under US law. The courts have not decided on this issue, making the outcome uncertain.

Warner Bros. Discovery is also challenging how Midjourney trains its models, pointing to past statements from company executives suggesting vast quantities of material were indiscriminately collected to build its systems.

With three major Hollywood studios now pursuing lawsuits, the outcome of these cases could establish a precedent for how courts treat AI-generated content.

Warner Bros. Discovery seeks damages that could reach $150,000 per infringed work, or Midjourney’s profits linked to the alleged violations.

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EASA survey reveals cautious optimism over aviation AI ethics

The European Union Aviation Safety Agency (EASA) has published survey results probing the ethical outlook of aviation professionals on AI deployment, released during its AI Days event in Cologne.

The AI Days conference gathered nearly 200 on-site attendees from across the globe, with even more participating online.

The survey measured acceptance, trust and comfort across eight hypothetical AI use cases, yielding an average acceptance score of 4.4 out of 7. Despite growing interest, two-thirds of respondents declined at least one scenario.

Their key concerns included limitations of AI performance, privacy and data protection, accountability, safety risks and the potential for workforce de-skilling. A clear majority called for stronger regulation and oversight by EASA and national authorities.

In a keynote address, Christine Berg from the European Commission highlighted that AI in aviation is already practical, optimising air traffic flow and predictive maintenance, while emphasising the need for explainable, reliable and certifiable systems under the EU AI Act.

Survey findings will feed into EASA’s AI Roadmap and prompt public consultations as the agency advances policy and regulatory frameworks.

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Wikipedia publishes guide to spot AI-generated entries

Wikipedia editors have published a guide titled ‘Signs of AI Writing’ to support readers and contributors in detecting AI-generated content across the encyclopedia.

The field guide distils key linguistic and formatting traits commonly found in AI output, such as overblown symbolism, promotional tone, repetitive transitions, rule-of-three phrasing and editorial commentary that breaks Wikipedia’s standards.

The initiative stems from the community’s ongoing challenge against AI-generated content, which has grown enough to warrant the creation of a dedicated project named WikiProject AI Cleanup.

Volunteers have developed tools like speedy deletion policies to quickly remove suspicious entries and tagged over 500 articles for review.

While the guide aims to strengthen detection, editors caution that it should not be treated as a shortcut but should complement human judgement, oversight, and trusted community processes. Such layered scrutiny helps preserve Wikipedia’s reputation for reliability.

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WhatsApp fixes flaw exploited in Apple device hacks

WhatsApp has fixed a vulnerability that exposed Apple device users to highly targeted cyberattacks. The flaw was chained with an iOS and iPadOS bug, allowing hackers to access sensitive data.

According to researchers at Amnesty’s Security Lab, the malicious campaign lasted around 90 days and impacted fewer than 200 people. WhatsApp notified victims directly, which urged all users to update their apps immediately.

Apple has also acknowledged the issue and released security patches to close the cybersecurity loophole. Experts warn that other apps beyond WhatsApp may have been exploited in the same campaign.

The identity of those behind the spyware attacks remains unclear. Both companies have stressed that prompt updates are the best protection for users against similar threats.

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Record funding and new assurance measures mark fresh UK AI push

Private backing for UK AI companies has reached £2.9 billion, with average deals of £5.9 million, driving record growth across the sector. Ministers say investment is spreading regionally, with the number of firms in the Midlands, Yorkshire, Wales, and the North West doubling in just three years.

At Mansion House, Technology Secretary Peter Kyle urged industry to cut red tape, expand data centres, and attract global talent. He emphasised that public trust, supported by AI assurance measures, is crucial for growth.

The assurance roadmap aims to add billions to the economy by creating a dedicated profession to review AI systems for safety, ethics, and accountability. Independent experts will be tasked with certifying systems, while a consortium of professional bodies develops a code of ethics to guide standards.

Further initiatives include £2.7m to boost regulator capacity and AI projects for Ofgem, the Civil Aviation Authority, and the Office for Nuclear Regulation, covering energy, aviation, and nuclear waste.

Officials say these measures will help position the UK as a world leader in AI innovation, while ensuring growth is matched with robust oversight and public confidence in the technology.

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Tourism boards across Europe embrace AI but face gaps in strategy and skills

A new study by the European Travel Commission shows that national tourism organisations (NTOs) are experimenting with AI but are facing gaps in strategy and skills.

Marketing teams are leading the way, applying AI in content generation and workflow streamlining, whereas research departments primarily view the tools as exploratory. Despite uneven readiness, most staff show enthusiasm, with little resistance reported.

The survey highlights challenges, including limited budgets, sparse training, and the absence of a clear roadmap. Early adopters report tangible productivity gains, but most NTOs are still running small pilots rather than embedding AI across operations.

Recommendations include ring-fencing time for structured experiments, offering role-specific upskilling, and scaling budgets aligned with results. The report also urges the creation of shared learning spaces and providing practical support to help organisations transition from testing to sustained adoption.

ETC President Miguel Sanz said AI offers clear opportunities for tourism boards, but uneven capacity means shared tools and targeted investment will be essential to ensure innovation benefits all members.

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DeepSeek prepares new AI agent model to rival US competitors

According to people familiar with the plans, Chinese startup DeepSeek is developing an AI model with enhanced agent features to compete with US firms such as OpenAI.

The Hangzhou-based company intends for the system to perform multi-step tasks with limited input and adapt from its previous actions.

Founder Liang Wenfeng has urged his team to prepare the release before the end of 2025. The project follows DeepSeek’s earlier success with R1, a reasoning-focused model launched in January that attracted attention for its low development costs.

Since then, DeepSeek has delivered only incremental updates while rivals in China and the US have accelerated new product launches.

The shift towards AI agents reflects a broader industry move to develop tools capable of managing complex real-world tasks, from research to coding, with less reliance on users. OpenAI, Anthropic, Microsoft, and Manus AI have already introduced similar projects.

Most systems still require significant oversight, highlighting the challenges of building fully autonomous agents.

DeepSeek declined to comment on the development.

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