Digital business models

AI tool launched by Amazon Ads enables professional ad creation

Amazon Ads has unveiled Creative Agent, a new AI-powered tool that enables advertisers in Europe to create professional-quality ads rapidly. The tool handles the entire creative process, from brainstorming and scripts to video, animation, voiceovers, music, and final delivery.

Creative Agent uses Amazon retail insights and customer data to develop ad concepts that align with the brand and engage audiences. Its conversational interface guides users, explains creative choices, and lets them refine visuals, scripts, and audio in real time.

Advertisers can produce multi-format campaigns suitable for Sponsored Brands, Sponsored Display, Amazon DSP, Streaming TV, and Brand Stores.

The tool also manages localisation, cultural nuances, and multi-market campaigns efficiently, allowing mid-market and smaller brands to access capabilities previously reserved for large companies.

Built on AWS, including Amazon Nova and Anthropic Claude, Creative Agent enhances Amazon’s AI ad tools, reducing creative barriers and enabling fast experimentation. Early adopters say the platform enhances creative innovation while reducing time and cost across campaigns.

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Over 299 million people gain internet access through global connectivity

Microsoft has exceeded its 2025 internet access target, reaching over 299 million people globally, including more than 124 million in Africa. The milestone reflects years of partnerships to connect communities lacking reliable digital access.

Efforts are shifting from simple coverage to holistic digital participation, combining connectivity with energy, devices, digital skills, and AI tools.

Microsoft aims to enable meaningful adoption, ensuring communities can fully engage in the growing AI economy. Partnerships focus on scalable, community-based models aligned with national development priorities.

As adoption accelerates, Microsoft plans to expand its approach by integrating financing, energy access, and community-first AI solutions. The initiative highlights the need for long-term, locally led strategies for fair participation in the digital and AI economy.

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AI sparks worry over job loss and skill decline

A 2025 survey by Statistics Netherlands (CBS) shows that 41% of employees think AI could perform part of their job, while 4% fear full replacement. Higher-educated workers and young adults are most likely to believe their tasks could be automated.

Among those using AI at work, 56% expect it could partly or fully do their jobs, compared with 37% of non-users. Almost half of the workers who see AI as a potential replacement expressed concern, with women slightly more worried than men.

Most adults anticipate that AI will lead to job losses (75%), a decline in workforce skills (64%), and less interesting work (48%). Despite these concerns, 57% believe AI could boost productivity by speeding up tasks.

Fewer respondents think AI will solve labour shortages (46%) or replace unsafe jobs (41%). The findings highlight both the opportunities and anxieties surrounding AI adoption in the workplace.

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New AI tool predicts post-mortem time with precision

Researchers at Linköping University and the Swedish National Board of Forensic Medicine have developed an AI tool that estimates time of death from blood metabolites. The model, trained on thousands of samples, provides greater accuracy than traditional forensic methods.

Methods like body temperature, rigor mortis, or eye potassium become unreliable after a few days. AI analysis of blood metabolites estimates time of death with about one-day accuracy for up to 13 days post-mortem.

The project uses a unique data resource of over 45,000 autopsies, with 4,876 samples used to train the AI. Researchers say the method works globally, even in labs with smaller datasets, making it useful for forensic investigations.

Next steps aim to increase precision, allowing models to estimate not only the day but also the specific time of death. Experts say the tool can improve investigations by guiding law enforcement and aiding complex cases.

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OURA launches AI model tailored to women’s physiology with privacy-first design

Guidance for women’s health is entering a new phase as ŌURA introduces a proprietary large language model designed specifically for reproductive and hormonal wellbeing.

The model sits within Oura Advisor and is available for testing through Oura Labs, drawing on clinical standards, peer-reviewed evidence and biometric signals collected through the Oura Ring to create personalised and context-aware responses.

The system interprets questions through women’s physiology instead of depending on general-purpose models that miss critical hormonal and life-stage variables.

It supports the full spectrum of reproductive health, from the earliest menstrual patterns to menopause, and is intentionally tuned to be non-dismissive and emotionally supportive.

By combining longitudinal sleep, activity, stress, cycle and pregnancy data with clinician-reviewed research, the model aims to strengthen understanding and preparation ahead of medical appointments.

Privacy forms the centre of the architecture, with all processing hosted on infrastructure controlled entirely by the company. Conversations are neither shared nor sold, reflecting ŌURA’s broader push for private AI.

Oura Labs operates as an opt-in experimental environment where new features are tested in collaboration with members who can leave at any time.

Women who take part influence the model’s evolution by contributing feedback that informs future development.

These interactions help refine personalised insights across fertility, cycle irregularities, pregnancy changes and other hormonal shifts, marking a significant step in how the Finland-founded company advances preventive, data-guided care for its global community.

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NVIDIA healthcare survey shows surge in AI adoption and strong ROI

AI is reshaping healthcare as organisations shift from trial projects to large-scale deployment.

The latest industry survey from NVIDIA shows widespread adoption across digital healthcare, biotechnology, pharmaceuticals and medical technology, signalling a sector that is now executing rather than experimenting.

Uptake is expanding rapidly, with generative AI and large language models becoming central tools for clinical and operational tasks.

The report highlights how medical imaging, drug discovery and clinical decision support are among the most prominent applications. Radiologists are using AI to accelerate image analysis, while research teams apply advanced models to speed early-stage drug development.

Organisations benefit from workflow optimisation instead of relying on manual administrative routines, with many citing improvements in patient coordination, documentation and coding.

Open-source models are increasingly important, with most respondents considering them vital for domain-specific development.

Experts argue that open-source innovation will guide exploration, whereas deployment in clinical environments will demand rigorous validation and accountability rather than unrestricted experimentation.

Agentic AI is emerging as a new capability for knowledge retrieval and literature analysis.

Evidence of return on investment is clear, prompting 85% of organisations to expand their AI budgets. Many report higher revenue, reduced costs and significant gains in back-office productivity.

Evaluation is becoming a core operational requirement, ensuring AI continues to improve safety, quality and overall clinical performance over time.

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New Relic advances AI agents for enterprise observability

The expansion into enterprise AI comes with a no-code platform from New Relic that allows companies to build and supervise their own observability agents.

A system that assembles AI-driven monitors designed to detect bugs and performance problems before they affect users, instead of leaving teams to rely on manual tracking.

It also supports the Model Context Protocol so organisations can link external data sources to the agents and integrate them with existing New Relic tools.

The company stresses that the platform is intended to complement other agent systems rather than replace them.

As AI agent software spreads across the market, enterprises are searching for ways to manage risk when giving automated tools access to internal systems.

Industry players such as Salesforce and OpenAI have already introduced their own agent platforms, and assessments from Gartner describe these frameworks as essential infrastructure for wider AI adoption.

New Relic also introduced new tools for the OpenTelemetry framework to remove friction around observability standards.

Its application performance monitoring agents now support OTel data, allowing enterprises to manage these streams in one place instead of operating separate collectors.

The update aims to reduce fragmentation that has slowed OTel deployment across large organisations and to simplify how engineering teams handle diverse observability pipelines.

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CrowdStrike warns of faster AI driven threats

Cyber adversaries increasingly used AI to accelerate attacks and evade detection in 2025, according to CrowdStrike’s 2026 Global Threat Report. The company described the period as the year of the evasive adversary, marked by subtle and rapid intrusions.

The average time to a financially motivated online crime breakout fell to 29 minutes, with the fastest recorded at 27 seconds. CrowdStrike observed an 89 percent rise in attacks by AI-enabled threat actors compared with 2024.

Attackers also targeted AI systems themselves, exploiting GenAI tools at more than 90 organisations through malicious prompt injection. Supply chain compromises and the abuse of valid credentials enabled intrusions to blend into legitimate activity, with most detections classified as malware-free.

China linked activity rose by 38 percent across sectors, while North Korea linked incidents increased by 130 percent. CrowdStrike tracked more than 281 adversaries in total, warning that speed, credential abuse, and AI fluency now define the modern threat landscape.

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OpenClaw vulnerabilities exposed by AI-powered code scanner

Researchers at Endor Labs identified six high- to critical vulnerabilities in the open-source AI agent framework OpenClaw using an AI-powered static application security testing engine to trace untrusted data flows. The flaws included server-side request forgery, authentication bypass, and path traversal.

The bugs affected multiple components of the agentic system, which integrates large language models with external tools and web services. Several SSRF issues were found in the gateway and authentication modules, potentially exposing internal services or cloud metadata depending on the deployment context.

Access control failures were also found in OpenClaw. A webhook handler lacked proper verification, enabling forged requests, while another flaw allowed unauthenticated access to protected functionality. Researchers confirmed exploitability with proof-of-concept demonstrations.

The team said that traditional static analysis tools struggle with modern AI software stacks, where inputs undergo multiple transformations before reaching sensitive operations. Their AI-based SAST engine preserved context across layers, tracing untrusted data from entry points to critical functions.

OpenClaw maintainers were notified through responsible disclosure and have since issued patches and advisories. Researchers argue that as AI agent frameworks expand into enterprise environments, security analysis must adapt to address both conventional vulnerabilities and AI-specific attack surfaces.

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Sony targets AI music copyright use

Sony Group has developed technology designed to identify the original sources of music generated by AI. The move comes amid growing concern over the unauthorised use of copyrighted works in AI training.

According to Sony Group, the system can extract data from an underlying AI model and compare generated tracks with original compositions. The process aims to quantify how much specific works contributed to the output.

Composers, songwriters and publishers could use the technology to seek compensation from AI developers if their material was used without permission. Sony said the goal is to help ensure creators are properly rewarded.

Efforts to safeguard intellectual property have intensified across the music industry. Sony Music Entertainment in the US previously filed a copyright infringement lawsuit in 2024 over AI-generated music, underscoring wider tensions around AI and creative rights.

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