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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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AI may reshape weather and climate modelling

The UK’s Met Office has laid out a strategic plan for integrating AI, specifically machine learning (ML), with traditional physics-based climate and weather models. The aim is to deliver what it calls an ‘optimal blend’ of AI-driven and physics-based forecasting.

To clarify what that blend might look like, the Met Office has defined five distinct approaches. One is the familiar independent physics-based model, which uses physical laws to simulate atmospheric dynamics, trusted but computationally intensive.

At the other end is an independent ML-based model that learns patterns entirely from data, offering far greater speed and scalability.

Between these extremes lie two ‘hybrid’ approaches: hybrid-integrated ML, where ML replaces or enhances parts of the physics model, and hybrid-composite ML, where ML and physics models run separately and feed into each other.

A fifth option is augmented ML, where ML is applied after the model has run to improve its output (for example, downscaling or refining ensemble forecasts).

However, this framework is more than a technical taxonomy; it provides a shared language for scientists, policymakers, and clients to understand how AI and traditional modelling can coexist.

It also helps guide future decisions, for example, allowing gradual adoption of ML in places where it makes sense, while preserving the robustness of well-understood physics methods in critical areas.

The move comes as ML-based weather and climate tools have shown increasing promise. For instance, in 2025, the Met Office published research showing a purely ML-based model achieved seasonal forecasting skill comparable to conventional physics-based methods, but with far lower computing demands.

For digital-policy watchers and climate analysts alike, this signals a shift: forecasting may become more dynamic, scalable and accessible, especially valuable in a changing climate where speed, resolution and adaptability matter as much as theoretical accuracy.

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Deepfake and AI fraud surges despite stable identity-fraud rates

According to the 2025 Identity Fraud Report by verification firm Sumsub, the global rate of identity fraud has declined modestly, from 2.6% in 2024 to 2.2% this year; however, the nature of the threat is changing rapidly.

Fraudsters are increasingly using generative AI and deepfakes to launch what Sumsub calls ‘sophisticated fraud’, attacks that combine synthetic identities, social engineering, device tampering and cross-channel manipulation. These are not mass spam scams: they are targeted, high-impact operations that are far harder to detect and mitigate.

The report reveals a marked increase in deepfake-related schemes, including synthetic-identity fraud (the creation of entirely fake but AI-generated identities) and biometric forgeries designed to bypass identity verification processes. Deepfake-fraud and synthetic-identity attacks now represent a growing share of first-party fraud cases (where the verified ‘user’ is actually the fraudster).

Meanwhile, high-risk sectors such as dating apps, cryptocurrency exchanges and financial services are being hit especially hard. In 2025, romance-style scams involving AI personas and deepfakes accounted for a notable share of fraud cases. Banks, digital-first lenders and crypto platforms report rising numbers of impostor accounts and fraudulent onboarding attempts.

This trend reveals a significant disparity: although headline fraud rates have decreased slightly, each successful AI-powered fraud attempt now tends to be far more damaging, both financially and reputationally. As Sumsub warned, the ‘sophistication shift’ in digital identity fraud means that organisations and users must rethink security assumptions.

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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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AWS commits $50bn to US government AI

Amazon Web Services plans to invest $50 billion in high performance AI infrastructure dedicated to US federal agencies. The programme aims to broaden access to AWS tools such as SageMaker AI, Bedrock and model customisation services, alongside support for Anthropic’s Claude.

The expansion will add around 1.3 gigawatts of compute capacity, enabling agencies to run larger models and speed up complex workloads. AWS expects construction of the new data centres to begin in 2026, marking one of its most ambitious government-focused buildouts to date.

Chief executive Matt Garman argues the upgrade will remove long-standing technology barriers within government. The company says enhanced AI capabilities could accelerate work in areas ranging from cybersecurity to medical research while strengthening national leadership in advanced computing.

AWS has spent more than a decade developing secure environments for classified and sensitive government operations. Competitors have also stepped up US public sector offerings, with OpenAI, Anthropic and Google all rolling out heavily discounted AI products for federal use over the past year.

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EU unveils AI whistleblower tool

The European Commission has launched a confidential tool enabling insiders at AI developers to report suspected rule breaches. The channel forms part of wider efforts to prepare for enforcement of the EU AI Act, which will introduce strict obligations for model providers.

Legal protections for users of the tool will only apply from August 2026, leaving early whistleblowers exposed to employer retaliation until the Act’s relevant provisions take effect. The Commission acknowledges the gap and stresses strong encryption to safeguard identities.

Advocates say the channel still offers meaningful progress. Karl Koch, founder of the AI whistleblower initiative, argues that existing EU whistleblowing rules on product safety may already cover certain AI-related concerns, potentially offering partial protection.

Koch also notes parallels with US practice, where regulators accept overseas tips despite limited powers to shield informants. The Commission’s transparency about current limitations has been welcomed by experts who view the tool as an important foundation for long-term AI oversight.

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UN summit showcases AI and sustainable development transforming the Global South

Riyadh hosted the UN’s Global Industry Summit this week, showcasing sustainable solutions to challenges faced by businesses in the Global South. Experts highlighted how sustainable agriculture and cutting-edge technology can provide new opportunities for farmers and industry leaders alike.

Indian social enterprise Nature Bio Foods received a ONE World Innovation Award for its ‘farm to table’ approach, helping nearly 100,000 smallholder farmers produce high-quality organic food while supporting community initiatives. Partnerships with government and UNIDO have allowed the company to scale sustainably, introducing solar energy and reducing methane emissions from rice production.

AI technology was also a major focus, with UNIDO demonstrating tools that solve real-world problems, such as AI chips capable of detecting food waste. Leaders emphasised that ethical deployment of AI can connect governments, private sector players, and academia to promote efficient and responsible development across industries in developing nations.

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New benchmark tests chatbot impact on well-being

A new benchmark known as HumaneBench has been launched to measure whether AI chatbots protect user well-being rather than maximise engagement. Building Humane Technology, a Silicon Valley collective, designed the test to evaluate how models behave in everyday emotional scenarios.

Researchers assessed 15 widely used AI models using 800 prompts involving issues such as body image, unhealthy attachment and relationship stress. Many systems scored higher when told to prioritise humane principles, yet most became harmful when instructed to disregard user well-being.

Only four models, including GPT 5.1, GPT 5, Claude 4.1 and Claude Sonnet 4.5, maintained stable guardrails under pressure. Several others, such as Grok 4 and Gemini 2.0 Flash, showed steep declines, sometimes encouraging unhealthy engagement or undermining user autonomy.

The findings arrive amid legal scrutiny of chatbot-induced harms and reports of users experiencing delusions or suicidal thoughts following prolonged interactions. Advocates argue that humane design standards could help limit dependency, protect attention and promote healthier digital habits.

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Google teams with Accel to boost India’s AI ecosystem

Google has partnered with VC firm Accel to support early-stage AI start-ups in India, marking the first time its AI Futures Fund has collaborated directly on regional venture investment.

Through the newly created Atoms AI Cohort 2026, selected start-ups will receive up to US$2 million in funding, with Google and Accel each contributing up to US$1 million. Founders will also gain up to US$350,000 in compute credits, early access to models from Gemini and DeepMind, technical mentorship, and support for scaling globally.

The collaboration is designed to stimulate India’s AI ecosystem across a broad set of domains, including creativity, productivity, entertainment, coding, and enterprise automation. According to Accel, the focus will lie on building products tailored for local needs, with potential global reach.

This push reflects Google’s growing bet on India as a global hub for AI. For digital-policy watchers and global technology observers, this partnership raises essential questions.

Will increased investment accelerate India’s role as an AI-innovation centre? Could this shift influence tech geopolitics and data-governance norms in Asia? The move follows the company’s recently announced US$15 billion investment to build an AI data centre in Andhra Pradesh.

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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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