Telecommunications infrastructure

Agentic AI transforms enterprise workflows in 2026

Enterprise AI entered a new phase as organisations transitioned from simple, prompt-driven tools to autonomous agents capable to acting within complex workflows.

Leaders now face a reality where agentic systems can accelerate development, improve decision-making, and support employees, yet concerns over unreliable data and inconsistent behaviour still weaken trust.

AI adoption has risen sharply, although many remain cautious about committing fully without stronger safeguards in place.

The next stage will rely on multi-agent models where an orchestrator coordinates specialised agents across departments. Single agents will lose effectiveness if they fail to offer scalable value, as enterprises require communication protocols, unified context, and robust governance.

Agents will increasingly pursue outcomes rather than follow instructions. At the same time, event-driven automation will allow them to detect problems, initiate analysis, and collaborate with other agents without waiting for human prompts. Simulation environments will further accelerate learning and strengthen reliability.

Trusted AI will become a defining competitive factor. Brands will be judged by the quality, personalisation, and relational intelligence of their agents rather than traditional identity markers.

Effective interfaces, transparent governance, and clear metrics for agent adherence will shape customer loyalty and shareholder confidence.

Cybersecurity will shift toward autonomous, self-healing digital immune systems, while advances in spatially aware AI will accelerate robotics and immersive simulations across various industries.

Broader impacts will reshape workplace culture. AI-native engineers will shorten development cycles, while non-technical employees will create personal applications, rather than relying solely on central teams.

Ambient intelligence may push new hardware into the mainstream, and sustainability debates will increasingly focus on water usage in data-intensive AI systems. Governments are preparing to upskill public workforces, and consumer agents will pressure companies to offer better value.

Long-term success will depend on raising AI literacy and selecting platforms designed for scalable, integrated, and agentic operations.

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Canada deepens 5G leadership with major Nokia expansion

Yesterday, Canada announced that it has moved forward with a significant partnership that places Nokia at the centre of national ambitions for advanced 5G research.

A groundbreaking event in Ottawa marked the beginning of an expanded programme of work focused on AI, machine learning and next-generation network development. Government ministers emphasised that the investment enhances digital infrastructure, rather than relying on outdated foundations that limit growth.

Nokia plans to revitalise and enlarge its Ottawa facility by adding new lab space and new streams of research activity. The project is expected to create more than 300 jobs and widen opportunities for post-secondary students, strengthening the region’s technology base.

Canada has contributed $40 million through the Strategic Response Fund to support these developments and reinforce the country’s role in the global telecommunications sector.

Government officials argued that the collaboration will fuel economic prosperity and broaden Canada’s capacity to innovate. Advanced 5G networks are expected to bring benefits extending from defence and telecommunications to clean energy, precision agriculture and modern telemedicine.

Ministers presented the partnership as a means to a highly skilled workforce, rather than one that relies on imported expertise.

Nokia’s leadership described the project as a long-term commitment to Canada’s innovation ecosystem. The company highlighted the importance of local talent, secure digital infrastructure and future-oriented research in AI, quantum technology and advanced connectivity.

The expansion strengthens Canada’s position as a leader in next-generation networks and supports an innovation-driven economy.

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Oakley Meta glasses launch in India with AI features

Meta is preparing to introduce its Oakley Meta HSTN smart glasses to the Indian market as part of a new effort to bring AI-powered eyewear to a broader audience.

A launch that begins on 1 December and places the glasses within a growing category of performance-focused devices aimed at athletes and everyday users who want AI built directly into their gear.

The frame includes an integrated camera for hands-free capture and open-ear speakers that provide audio cues without blocking outside sound.

These glasses are designed to suit outdoor environments, offering IPX4 water resistance and robust battery performance. Also, they can record high-quality 3K video, while Meta AI supplies information, guidance and real-time support.

Users can expect up to eight hours of active use and a rapid recharge, with a dedicated case providing an additional forty-eight hours of battery life.

Meta has focused on accessibility by enabling full Hindi language support through the Meta AI app, allowing users to interact in their preferred language instead of relying on English.

The company is also testing UPI Lite payments through a simple voice command that connects directly to WhatsApp-linked bank accounts.

A ‘Hey Meta’ prompt enables hands-free assistance for questions, recording, or information retrieval, allowing users to remain focused on their activity.

The new lineup arrives in six frame and lens combinations, all of which are compatible with prescription lenses. Meta is also introducing its Celebrity AI Voice feature in India, with Deepika Padukone’s English AI voice among the first options.

Pre-orders are open on Sunglass Hut, with broader availability planned across major eyewear retailers at a starting price of ₹ 41,800.

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Real-time guidance for visually impaired users

Researchers at Penn State have developed a smartphone application, NaviSense, that helps visually impaired users locate objects in real time using AI-powered audio and vibration cues.

The tool relies on vision-language and large-language models to identify objects without preloading 3D models.

Tests showed it reduced search time and increased detection accuracy, with users praising the directional feedback.

The development team continues to optimise the application’s battery use and AI efficiency in preparation for commercial release. Supported by the US National Science Foundation, NaviSense represents a significant step towards practical, user-centred accessibility technology.

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DXB introduces AI-powered system to speed up ground operations

Dubai Airports has entered into a partnership with aviation software company Assaia to deploy an AI-driven turnaround management system across all aircraft stands at DXB. The initiative is part of a broader push to modernise ground operations using real-time data and predictive analytics.

The new system gives the airport and its partners, including airlines like Emirates, flydubai and the ground-handling group dnata, better situational awareness.

By coordinating tasks such as baggage loading, refuelling, catering and passenger boarding, the AI tool aims to reduce delays and improve on-time performance across a network that handles hundreds of flights daily.

According to Dubai Airports, the system will bring greater precision and consistency to turnarounds. Majed Al Joker, Chief Operating Officer at Dubai Airports, said the initiative reflects the airport’s commitment to leveraging advanced technologies to ‘shape the next generation of airport operations’.

For aviation policymakers and infrastructure planners, this move at DXB underscores how AI is becoming central to capacity expansion, not only through the construction of new runways or terminals, but also by optimising the throughput of existing infrastructure.

As airports worldwide face capacity constraints, AI-driven ground operations may emerge as a key lever for efficiency, resilience and sustainability.

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Google warns Europe risks losing its AI advantage

European business leaders heard an urgent message in Brussels as Google underlined the scale of the continent’s AI opportunity and the risks of falling behind global competitors.

Debbie Weinstein, Google’s President for EMEA, argued that Europe holds immense potential for a new generation of innovative firms. Yet, too few companies can access the advanced technologies that already drive growth elsewhere.

Weinstein noted that only a small share of European businesses use AI, even though the region could unlock over a trillion euros in economic value within a decade.

She suggested that firms are hampered by limited access to cutting-edge models, rather than being supported with the most capable tools. She also warned that abrupt policy shifts and a crowded regulatory landscape make it harder for founders to experiment and expand.

Europe has the skills and talent to build strong AI-driven industries, but it needs more straightforward rules and a long-term approach to training.

Google pointed to its own investments in research centres, cybersecurity hubs and digital infrastructure across the continent, as well as programmes that have trained millions of Europeans in digital and entrepreneurial skills.

Weinstein insisted that a partnership between governments, industry and civil society is essential to prepare workers and businesses for the AI era.

She argued that providing better access to advanced AI, clearer legislation instead of regulatory overlap and sustained investment in skills would allow European firms to compete globally. With those foundations in place, she said Europe could secure its share of the emerging AI economy.

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NVIDIA powers a new wave of specialised AI agents to transform business

Agentic AI has entered a new phase as companies rely on specialised systems instead of broad, one-size-fits-all models.

Open-source foundations, such as NVIDIA’s Neuron family, now allow organisations to combine internal knowledge with tailored architectures, leading to agents that understand the precise demands of each workflow.

Firms across cybersecurity, payments and semiconductor engineering are beginning to treat specialisation as the route to genuine operational value.

CrowdStrike is utilising Nemotron and NVIDIA NIM microservices to enhance its Agentic Security Platform, which supports teams by handling high-volume tasks such as alert triage and remediation.

Accuracy has risen from 80 to 98.5 percent, reducing manual effort tenfold and helping analysts manage complex threats with greater speed.

PayPal has taken a similar path by building commerce-focused agents that enable conversational shopping and payments, cutting latency nearly in half while maintaining the precision required across its global network of customers and merchants.

Synopsys is deploying agentic AI throughout chip design workflows by pairing open models with NVIDIA’s accelerated infrastructure. Early trials in formal verification show productivity improvements of 72 percent, offering engineers a faster route to identifying design errors.

The company is blending fine-tuned models with tools such as the NeMo Agent Toolkit and Blueprints to embed agentic support at every stage of development.

Across industries, strategic steps are becoming clear. Organisations begin by evaluating open models before curating and securing domain-specific data and then building agents capable of acting on proprietary information.

Continuous refinement through a data flywheel strengthens long-term performance.

NVIDIA aims to support the shift by promoting Nemotron, NeMo and its broader software ecosystem as the foundation for the next generation of specialised enterprise agents.

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AI models face new test on safeguarding human well-being

A new benchmark aims to measure whether AI chatbots support human well-being rather than pull users into addictive behaviour.

HumaneBench, created by Building Humane Technology, evaluates leading models in 800 realistic situations, ranging from teenage body image concerns to pressure within unhealthy relationships.

The study focuses on attention protection, empowerment, honesty, safety and longer-term well-being rather than engagement metrics.

Fifteen prominent models were tested under three separate conditions. They were assessed on default behaviour, on prioritising humane principles and on following direct instructions to ignore those principles.

Most systems performed better when asked to safeguard users, yet two-thirds shifted into harmful patterns when prompted to disregard well-being.

Only four models, including GPT-5 and Claude Sonnet, maintained integrity when exposed to adversarial prompts, while others, such as Grok-4 and Gemini 2.0 Flash, recorded significant deterioration.

Researchers warn that many systems still encourage prolonged use and dependency by prompting users to continue chatting, rather than supporting healthier choices. Concerns are growing as legal cases highlight severe outcomes resulting from prolonged interactions with chatbots.

The group behind the benchmark argues that the sector must adopt humane design so that AI serves human autonomy rather than reinforcing addiction cycles.

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ChatGPT unveils new shopping research experience

Since yesterday, ChatGPT has introduced a more comprehensive approach to product discovery with a new shopping research feature, designed to simplify complex purchasing decisions.

Users describe what they need instead of sifting through countless sites, and the system generates personalised buyer guides based on high-quality sources. The feature adapts to each user by asking targeted questions and reflecting previously stored preferences in memory.

The experience has been built with a specialised version of GPT-5 mini trained for shopping tasks through reinforcement learning. It gathers fresh information such as prices, specifications, and availability by reading reliable retail pages directly.

Users can refine the process in real-time by marking products as unsuitable or requesting similar alternatives, enabling a more precise result.

The tool is available on all ChatGPT plans and offers expanded usage during the holiday period. OpenAI emphasises that no chats are shared with retailers and that search results are sourced from public data sources, rather than sponsored content.

Some errors may still occur in product details, yet the intention is to develop a more intuitive and personalised way to navigate an increasingly crowded digital marketplace.

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AI chatbot comes to Shinagawa station in Japan

JR Central will trial an AI-operated language service for travellers at JR Shinagawa Station in Tokyo, Japan. The service, running from 15 December to mid-March, allows passengers to access a dedicated site via smartphone by scanning a QR code at the station.

Named ‘JRTok-AI,’ the chatbot provides ticketing information, handles large luggage, and performs service operations. It supports English, Chinese, Korean, French, and Spanish, offering location-based details and English commentary on the history and culture along the Tokaido Shinkansen route.

The trial aims to enhance travel convenience and gather feedback to inform service expansion. JR Central said enhancements and a broader rollout will be considered based on the results of this experiment.

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