Future of work

Global leaders turn to AI adoption as Davos priorities evolve

AI dominated this year’s World Economic Forum, with debate shifting from experimentation to execution. Leaders focused on scaling AI adoption, delivering economic impact, and ensuring benefits extend beyond a small group of advanced economies and firms.

Concerns centred on the risk that AI could deepen global inequality if access to computing, data, power, and financing remains uneven. Without affordable deployment in health, education, and public services, support for AI’s rising energy and infrastructure demands could erode quickly.

Geopolitics has become inseparable from AI adoption. Trade restrictions, export controls, and diverging regulatory models are reshaping access to semiconductors, data centres, and critical minerals, making sovereignty and partnerships as important as innovation.

For developing economies, widespread AI adoption is now a development priority rather than a technological luxury. Blended finance and targeted investment are increasingly seen as essential to fund infrastructure and direct AI toward productivity, resilience, and inclusion.

Discussions under the ‘Blue Davos‘ theme highlighted how AI is embedded in physical and environmental systems, from energy grids to oceans. Choices on governance, financing, and deployment will shape whether AI supports sustainable development or widens existing divides.

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New York moves toward data centre moratorium as energy fears grow

Lawmakers in New York have proposed a three-year moratorium on permits for new data centres amid pressure to address the strain prominent AI facilities place on local communities.

The proposal mirrors similar moves in several other states and reflects rising concern that rapidly expanding infrastructure may raise electricity costs and worsen environmental conditions rather than supporting balanced development.

Politicians from both major parties have voiced unease about the growing power demand created by data-intensive services. Figures such as Bernie Sanders and Ron DeSantis have warned that unchecked development could drive household bills higher and burden communities.

More than 230 environmental organisations recently urged Congress to consider a national pause to prevent further disruption.

The New York bill, sponsored by Liz Krueger and Anna Kelles, aims to give regulators time to build strict rules before major construction continues. Krueger described the state as unprepared for the scale of facilities seeking entry, arguing that residents should not be left covering future costs.

Supporters say a temporary halt would provide time to design policies that protect consumers rather than encourage unrestrained corporate expansion.

Governor Kathy Hochul recently announced the Energize NY Development initiative, intended to modernise the grid connection process and ensure large energy users contribute fairly.

The scheme would require data centre operators to improve their financial responsibility as New York reassesses its approach to extensive AI-driven infrastructure.

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Crypto.com CEO launches ai.com AI agent platform

Kris Marszalek, CEO of Crypto.com, has launched ai.com, a platform enabling users to create personal AI agents for everyday digital tasks. The rollout marks Marszalek’s expansion beyond crypto infrastructure into autonomous AI systems.

The beta debut was promoted through a high-profile television commercial aired during Super Bowl 60 on NBC, leveraging one of the world’s largest broadcast audiences. Early access lets users reserve usernames while waiting for their customised AI agents to be deployed.

Marszalek said the long-term goal is a decentralised network of self-improving AI agents that handle email, scheduling, shopping, and travel planning. The initiative aims to accelerate the development of artificial general intelligence through distributed AI agent networks.

The launch arrives amid intensifying competition in the AI agent sector. Major tech firms are launching agent platforms and large ad campaigns, signalling rising commercial momentum behind autonomous digital assistants.

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OpenClaw faces rising security pushback in South Korea

Major technology companies in South Korea are tightening restrictions on OpenClaw after rising concerns about security and data privacy.

Kakao, Naver and Karrot Market have moved to block the open-source agent within corporate networks, signalling a broader effort to prevent sensitive information from leaking into external systems.

Their decisions follow growing unease about how autonomous tools may interact with confidential material, rather than remaining contained within controlled platforms.

OpenClaw serves as a self-hosted agent that performs actions on behalf of a large language model, acting as the hands of a system that can browse the web, edit files and run commands.

Its ability to run directly on local machines has driven rapid adoption, but it has also raised concerns that confidential data could be exposed or manipulated.

Industry figures argue that companies are acting preemptively to reduce regulatory and operational risks by ensuring that internal materials never feed external training processes.

China has urged organisations to strengthen protections after identifying cases of OpenClaw running with inadequate safeguards.

Security analysts in South Korea warn that the agent’s open-source design and local execution model make it vulnerable to misuse, especially when compared to cloud-based chatbots that operate in more restricted environments.

Wiz researchers recently uncovered flaws in agents linked to OpenClaw that exposed personal information.

Despite the warnings, OpenClaw continues to gain traction among users who value its ability to automate complex tasks, rather than rely on manual workflows.

Some people purchase separate devices solely to run the agent, while an active South Korea community on X has drawn more than 1,800 members who exchange advice and share mitigation strategies.

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Smart policing project halted by Greek data protection authority

Greece’s data protection authority has warned against activating an innovative policing system planned by the Hellenic Police. The ruling said biometric identity checks carried out on the street would breach data protection law in Greece.

The system would allow police patrols in Greece to use portable devices to scan fingerprints and facial images during spot checks. Regulators said Greek law lacks a clear legal basis for such biometric processing.

The authority said existing rules cited by the Hellenic Police only apply to suspects or detainees and do not cover modern biometric technologies. Greece, therefore, faces unlawful processing risks if the system enters full operation.

The innovative policing project in Greece received the EU funding of around four million euros and received backlash in the past. Regulators said deployment must wait until new legislation explicitly authorises police to use biometrics.

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AI assistants drive a powerful shift in modern work

AI assistants have become a standard feature of modern working life, increasingly used across business, education, and government for writing, analysis, research, and learning tasks. Their widespread adoption reflects a broader shift in how digital tools support productivity and knowledge work.

As their use expands, AI literacy is emerging as a key professional competence. Understanding how to work effectively with AI assistants is becoming essential for workforce readiness, skills development, and long-term employability.

The growing reliance on AI assistants also raises important questions around responsibility and oversight. While these tools can significantly improve efficiency, they generate content rather than verified facts, making human judgment, accountability, and fact-checking indispensable.

Understanding how AI assistants function is therefore critical. Built on large language models, they predict language patterns rather than think or reason like humans. This technical reality underpins discussions on transparency, reliability, and appropriate use in professional contexts.

In parallel, AI assistants are moving from standalone chatbots into embedded features within workplace software, including documents, spreadsheets, and collaboration platforms. This shift strengthens their role as in-context work tools, while also increasing the need for clear organisational guidelines on their use.

The AI assistant ecosystem is also expanding globally, with platforms offering different approaches to privacy, integration, and governance. This diversity gives users more choice but complicates alignment across regulatory and organisational environments.

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Agentic AI drives structural change in customer care

Customer care is undergoing structural change as agentic AI moves from experimental pilots to large-scale deployment. Advances in AI capabilities, combined with growing organisational readiness, are enabling companies to integrate AI systems directly into core customer service operations, particularly in call centres.

The increasing use of agentic AI is elevating customer care to a strategic management issue. Senior leadership, including CEOs, is paying closer attention to customer operations as a source of resilience, efficiency, and competitive differentiation, rather than viewing it solely as a support function.

At the same time, a growing divide is emerging between organisations that can scale AI effectively and those that remain at an early stage of adoption. AI leaders are investing in internal capabilities, governance structures, and workforce readiness, allowing them to deploy AI consistently across customer interactions.

Agentic AI is increasingly shaping end-to-end customer care models. Instead of being used for isolated automation tasks, AI systems are becoming the coordinating layer for customer service, managing interactions across channels and supporting more complex service processes.

Automation levels in customer care are rising rapidly. Some organisations are automating a majority of customer contacts, driven by improvements in natural language processing, decision-making, and integration with enterprise systems. This trend is changing how customer demand is managed at scale.

Human roles in customer care are evolving alongside automation. AI tools are being used to support agents in decision-making, reduce handling time, and improve service consistency. As a result, human agents are increasingly focused on cases requiring judgement, empathy, and contextual understanding.

Despite the rapid adoption of AI, customer satisfaction remains the primary objective. Efficiency gains, cost reduction, and revenue growth are important outcomes, but they are increasingly assessed based on their impact on customer experience and service quality.

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Robots edge closer to human-like movement

Engineers are working to make robots move with greater balance and fluidity, bringing machines closer to human-like motion. Progress depends heavily on actuators, the components that convert energy into precise physical movement.

Traditional electric motors have enabled many robotic breakthroughs, yet limitations in efficiency, safety and responsiveness remain clear. Machines often consume too much power, overheat at small sizes and lack the flexibility needed for smooth interaction.

Major manufacturers including Schaeffler and Hyundai Mobis are now designing advanced actuators that provide better control, real-time feedback and improved energy efficiency. Such innovations could allow humanoid robots to operate safely alongside workers and perform practical industrial tasks.

Researchers are also experimenting with softer materials and air-powered systems that behave more like muscles than rigid machinery. Continued advances could eventually produce robots capable of natural, graceful movement, opening new possibilities for everyday use.

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New AI training platform for Olympians unveiled by Google Cloud

Google Cloud has launched an AI-powered video analysis platform designed to help US Ski & Snowboard athletes refine performance ahead of major international competitions.

Built using Gemini and advanced Google DeepMind models, the system analyses the biomechanics behind high-speed freestyle skiing and snowboarding manoeuvres.

Traditional motion capture required specialised suits and controlled lab environments. Google’s platform converts smartphone footage into biomechanical analysis, mapping body positioning, trick amplitude, and edge control within minutes.

Coaches and athletes can query performance data conversationally for immediate insight.

Near real-time delivery marks a significant shift in training methodology. Analysis can be reviewed on the slopes shortly after a run, enabling faster technical adjustments.

The technology is also supporting athlete preparation for the Milano-Cortina 2026 Winter Olympics, where marginal gains can determine podium outcomes.

Applications extend beyond winter sports. Similar AI biomechanics systems could support physical rehabilitation, robotics engineering, and industrial safety environments where precision movement analysis is essential.

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Dubai hosts launch of AI tools for university students

The UAE Ministry of Higher Education and Scientific Research has partnered with Microsoft to develop AI agents to help university students find jobs. The initiative was announced in Dubai during a major policy gathering in the UAE.

The collaboration in the UAE will use Microsoft Azure to build prototype AI agents supporting personalised learning and career navigation. Dubai-based officials said the tools are designed to align higher education with labour market needs in the UAE.

Four AI agents are being developed in the UAE, covering lifelong skills planning, personalised learning, course co creation and research alignment. Dubai remains central to the project as a hub for higher education innovation in the UAE.

Officials in the UAE said the partnership reflects national priorities around innovation and a knowledge based economy. Microsoft said Dubai offers an ideal environment to scale AI driven education tools across the UAE.

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