Artificial intelligence

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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IBM Cloud replaces free support with AI tools

The cloud computing services offered by IBM will end free human support under its Basic Support tier in January 2026, opting for an AI-driven self-service model instead.

Users will lose the option to open or escalate technical cases through the portal or APIs. However, they can still report service issues via the Cloud Console and raise billing or account cases through the Support Portal.

IBM will direct customers to its Watsonx-powered AI Assistant, upgraded earlier in the year, while introducing a ‘Report an Issue’ tool to improve routing. The company plans to expand its support library to provide more detailed self-help resources.

Starting at $200 per month, paid support will remain available for organisations needing faster response times and direct technical assistance.

The company describes the change as an alignment with industry norms. AWS, Google Cloud and Microsoft Azure already provide free tiers that rely on community forums, online resources and billing support.

However, IBM Cloud holds only 2–4 percent of the market, according to Synergy Research Group, which some analysts suggest makes cost reductions in support more likely. Tencent, another provider, previously withdrew support for basic users because they were not profitable.

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AI and AR reshape Starbucks’ back-of-house systems

Starbucks will deploy an AI-powered inventory system across all North American stores. Built with NomadGo, it automatically scans shelves using AR and computer vision to flag low stock.

Counts that once took an hour now take about 15 minutes, enabling up to eight counts weekly. The system frees staff to focus on service while providing real-time data for more intelligent supply chain decisions.

The rollout follows other digital upgrades, including a Shift Marketplace for scheduling, Green Dot Assist for AI support, and a new point-of-sale system. Together, these tools show Starbucks’ growing reliance on AI.

Competitors like McDonald’s and Chick-fil-A are also turning to AI for back-of-house operations. From accuracy scales to computer vision food checks, fast-food chains are betting heavily on automation to boost efficiency.

For Starbucks, success will be judged by fewer shortages, consistent customer experiences, and staff reinvested in service. AI-driven accuracy could become a defining advantage in an industry built on trust.

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Stablecoins, tokenisation, and AI to feature at Fed event

The Federal Reserve Board will hold a conference on payments innovation on 21 October, focusing on emerging technologies in US payment systems. Regulators, academics, and industry participants will explore ways to enhance the safety, efficiency, and accessibility of payments.

Panel discussions will cover stablecoins, tokenised assets, AI in payments, and the convergence of traditional and decentralised finance. The event highlights how digital assets are increasingly viewed alongside conventional payment methods, reflecting their growing role in financial systems.

The conference will be livestreamed on the Fed’s website, with further details forthcoming.

Experts emphasise the need for clear, unified rules to enable tokenised credit and liquidity markets to scale without fragmentation. Artificial intelligence is also moving into the core of payments, with applications in fraud detection, credit assessment, and risk management.

The Fed’s event adds to a busy Q4 policy calendar, alongside initiatives from the SEC, CFTC, BIS, and MAS. Officials stress that innovation in payments is a constant, with new technologies complementing existing systems rather than replacing them.

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AI-powered home cinema and smart appliances unveiled by Hisense at IFA 2025

Hisense will debut AI-powered innovations at IFA 2025 under the theme ‘AI Your Life,’ showcasing entertainment, smart homes, and climate-friendly technologies. The company aims to make AI seamless and personal.

Entertainment highlights include the 116-inch RGB-MiniLED UX TV with 8,000 nits brightness, plus new laser projectors offering IMAX-level clarity and portability for home cinema and gaming.

Appliances get smarter with the PureFlat refrigerator, featuring a 21-inch screen for cooking, streaming, and AI art. ConnectLife agents will optimise chores and energy use in daily routines.

The U8 S Pro Air Conditioner brings presence detection, AI voice controls, and air purification, while Hisense expands into smart buildings, energy systems, and automotive climate solutions.

Combining advanced display technologies with next-gen appliances, Hisense says its innovations will empower people to live more freely and confidently across global markets.

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Latvia launches open AI framework for Europe

Language technology company Tilde has released an open AI framework designed for all European languages.

The model, named ‘TildeOpen’, was developed with the support of the European Commission and trained on the Lumi supercomputer in Finland.

According to Tilde’s head Artūrs Vasiļevskis, the project addresses a key gap in US-based AI systems, which often underperform for smaller European languages such as Latvian. By focusing on European linguistic diversity, the framework aims to provide better accessibility across the continent.

Vasiļevskis also suggested that Latvia has the potential to become an exporter of AI solutions. However, he acknowledged that development is at an early stage and that current applications remain relatively simple. The framework and user guidelines are freely accessible online.

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China and India adopt contrasting approaches to AI governance

As AI becomes central to business strategy, questions of corporate governance and regulation are gaining prominence. The study by Akshaya Kamalnath and Lin Lin examines how China and India are addressing these issues through law, policy, and corporate practice.

The paper focuses on three questions: how regulations are shaping AI and data protection in corporate governance, how companies are embedding technological expertise into governance structures, and how institutional differences influence each country’s response.

Findings suggest a degree of convergence in governance practices. Both countries have seen companies create chief technology officer roles, establish committees to manage technological risks, and disclose information about their use of AI.

In China, these measures are largely guided by central and provincial authorities, while in India, they reflect market-driven demand.

China’s approach is characterised by a state-led model that combines laws, regulations, and soft-law tools such as guidelines and strategic plans. The system is designed to encourage innovation while addressing risks in an adaptive manner.

India, by contrast, has fewer binding regulations and relies on a more flexible, principles-based model shaped by judicial interpretation and self-regulation.

Broader themes also emerge. In China, state-owned enterprises are using AI to support environmental, social, and governance (ESG) goals, while India has framed its AI strategy under the principle of ‘AI for All’ with a focus on the role of public sector organisations.

Together, these approaches underline how national traditions and developmental priorities are shaping AI governance in two of the world’s largest economies.

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Switzerland launches Apertus, an open multilingual AI model

Switzerland has launched its first large-scale open-source language model, Apertus, developed by EPFL, ETH Zurich, and the Swiss National Supercomputing Centre. Trained on the powerful Alps supercomputer in Lugano, Apertus is designed to set a new standard for transparency and multilingual inclusivity in Europe’s AI landscape.

The model comes in two sizes, 8 billion and 70 billion parameters, and supports over 1,000 languages, with 40% of its training data drawn from non-English sources. That allows it to handle underrepresented languages such as Swiss German and Romansh more effectively.

Unlike proprietary AI systems, Apertus is fully open. Its architecture, training data recipes, model weights, and documentation are publicly accessible.

The model can be downloaded from Hugging Face or accessed via Swisscom’s sovereign Swiss AI platform, with both research and commercial use permitted under a permissive license. Developers highlight that its design ensures compliance with Swiss and the EU regulations, with careful filtering of training data for quality and ethical standards.

The release comes just ahead of the Swiss {ai} Weeks hackathons, where developers and researchers will put Apertus to the test. Organisers describe the model as more than a research breakthrough, framing it as a tool to drive innovation across society and industry.

Looking ahead, the Apertus project aims to expand its family of models, improve efficiency, and develop specialised versions for fields like law, health, climate, and education, further strengthening Switzerland’s role in shaping open, public-benefit AI.

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TSMC faces curbs on shipping US tech to China

The United States has revoked Taiwan Semiconductor Manufacturing Company’s licence to ship advanced technology from America to China. The decision follows similar restrictions on South Korean firms Samsung and SK Hynix, increasing uncertainty for chipmakers operating Chinese facilities.

TSMC confirmed that Washington has notified that its authorisation will expire by the end of the year. The company said it would discuss the matter with the US government and stressed its commitment to keeping operations in China running without disruption.

The curbs are part of broader US measures to limit China’s access to advanced semiconductors. While they could complicate shipments and force suppliers to seek individual approvals, analysts suggest the direct impact on TSMC will be limited, as its sole Chinese plant in Nanjing makes older-generation chips that contribute only a small share of revenue.

Chinese customers may increasingly turn to domestic chipmakers, even if their technology lags. Such a shift could spur innovation in less performance-critical areas, while global suppliers grapple with higher costs and regulatory hurdles.

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