Future of work

AI generated podcasts flood platforms and disrupt the audio industry

Podcasts generated by AI are rapidly reshaping the audio industry, with automated shows flooding platforms such as Spotify, Apple Podcasts and YouTube.

Advances in voice cloning and speech synthesis have enabled the production to large volumes of content at minimal cost, allowing AI hosts to compete directly with human creators in an already crowded market.

Some established podcasters are experimenting cautiously, using cloned voices for translation, post-production edits or emergency replacements. Others have embraced full automation, launching synthetic personalities designed to deliver commentary, biographies and niche updates at speed.

Studios, such as Los Angeles-based Inception Point AI, have scaled the model to scale, producing hundreds of thousands of episodes by targeting micro-audiences and trending searches instead of premium advertising slots.

The rapid expansion is fuelling concern across the industry, where trust and human connection remain central to listener loyalty.

Researchers and networks warn that large-scale automation risks devaluing premium content, while creators and audiences question how far AI voices can replace authenticity without undermining the medium itself.

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Zoom launches AI Companion 3.0 with expanded features

Zoom has unveiled AI Companion 3.0, its latest AI assistant, which extends functionality beyond meetings with a new web interface, workflow tools, and agentic search. Select features are now accessible to free Zoom Workplace Basic users, while full access is available via a paid add-on.

Free users can generate meeting summaries, action item lists, and insights, albeit with usage limitations.

The updated AI Companion introduces agentic retrieval, enabling searches across meeting summaries, transcripts, and connected services, such as Google Drive and Microsoft OneDrive, with Gmail and Outlook support planned.

Users can automatically generate follow-up tasks and draft emails using a post-meeting template, while the Daily Reflection Report summarises tasks and updates to help prioritise work.

A new agentic writing mode allows drafting, editing, and refining business documents in a canvas-style interface, and AI-created content can be exported in multiple formats, including Markdown, PDF, Word, and Zoom Docs.

Additional tools include AI-based brainstorming and, for Custom AI Companion users, a deep research mode consolidating insights from multiple meetings and documents.

Basic plan users get limited access for up to three meetings per month, including automated summaries, in-meeting queries, and AI-generated notes. Up to 20 prompts are included via the side panel and web interface, while broader access requires a subscription priced at Rs 1,080 per month.

The new web interface also offers built-in prompts to guide users in exploring the assistant’s capabilities.

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Study warns that LLMs are vulnerable to minimal tampering

Researchers from Anthropic, the UK AI Security Institute and the Alan Turing Institute have shown that only a few hundred crafted samples can poison LLM models. The tests revealed that around 250 malicious entries could embed a backdoor that triggers gibberish responses when a specific phrase appears.

Models ranging from 600 million to 13 billion parameters (such as Pythia) were affected, highlighting the scale-independent nature of the weakness. A planted phrase such as ‘sudo’ caused output collapse, raising concerns about targeted disruption and the ease of manipulating widely trained systems.

Security specialists note that denial-of-service effects are worrying, yet deceptive outputs pose far greater risk. Prior studies already demonstrated that medical and safety-critical models can be destabilised by tiny quantities of misleading data, heightening the urgency for robust dataset controls.

Researchers warn that open ecosystems and scraped corpora make silent data poisoning increasingly feasible. Developers are urged to adopt stronger provenance checks and continuous auditing, as reliance on LLMs continues to expand for AI purposes across technical and everyday applications.

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Google boosts Translate with Gemini upgrades

Google is rolling out a major Translate upgrade powered by Gemini to improve text and speech translation. The update enhances contextual understanding so idioms, tone and intent are interpreted more naturally.

A beta feature for live headphone translation enables real-time speech-to-speech output. Gemini processes audio directly, preserving cadence and emphasis to improve conversations and lectures. Android users in the US, Mexico and India gain early access, with wider availability planned for 2026.

Translate is also gaining expanded language-learning tools for speaking practice and progress tracking. Additional language pairs, including English to German and Portuguese, broaden support for learners worldwide.

Google aims to reduce friction in global communication by focusing on meaning rather than literal phrasing. Engineers expect user feedback to shape the AI live translation beta across platforms.

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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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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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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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