Adobe says generative AI is rapidly reshaping India’s creator economy, with 97% of surveyed creators reporting a positive impact. Findings come from the company’s inaugural Creators’ Toolkit Report covering more than 16,000 creators worldwide.
Adoption levels in India are among the highest globally, with almost all creators reporting that AI tools are embedded in their daily workflows. Adobe is commonly used for editing, content enhancement, asset generation and idea development across video, image and social media formats.
Despite enthusiasm, concerns remain around trust and transparency. Many creators fear their work may be used to train AI models without consent, while cost, unclear training methods and inconsistent outputs also limit wider confidence.
Interest in agentic AI is also growing, with most Indian creators expressing optimism about systems that automate tasks and adapt to personal creative styles. Mobile devices continue to gain importance, with creators expecting phone output to increase further.
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Exiger has launched a free online tool designed to help organisations identify links to forced labour in global supply chains. The platform, called forcedlabor.ai, was unveiled during the annual meeting of the World Economic Forum in Davos.
The tool allows users to search suppliers and companies to assess potential exposure to state-sponsored forced labour, with an initial focus on risks linked to China. Exiger says the database draws on billions of records and is powered by proprietary AI to support compliance and ethical sourcing.
US lawmakers and human rights groups have welcomed the initiative, arguing that companies face growing legal and reputational risks if their supply chains rely on forced labour. The platform highlights risks linked to US import restrictions and enforcement actions.
Exiger says making the data freely available aims to level the playing field for smaller firms with limited compliance budgets. The company argues that greater transparency can help reduce modern slavery across industries, from retail to agriculture.
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Researchers at Yale University have developed an AI platform that accelerates chemical discovery by turning scientific knowledge into practical laboratory guidance. The system, known as MOSAIC, generates detailed experimental procedures across chemistry, including drug design and materials science.
MOSAIC differs from existing AI chemistry tools by combining thousands of specialised AI ‘experts,’ each representing a distinct area of chemical knowledge.
Instead of a single model, the platform draws on diverse reaction expertise to guide complex syntheses, including the synthesis of previously unreported compounds.
Early results suggest the approach significantly improves experimental outcomes. Using MOSAIC, researchers successfully synthesised more than 35 new compounds, spanning pharmaceuticals, catalysts, advanced materials, and other chemical domains.
The system also provides uncertainty estimates, helping scientists prioritise experiments most likely to succeed.
Designed as an open-source framework, MOSAIC aims to move AI beyond prediction and into hands-on laboratory support. Developers say the platform could cut research bottlenecks, improve reproducibility, and widen access to advanced chemical synthesis.
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Global leaders at the World Economic Forum 2026 are emphasising how AI can strengthen, rather than diminish, human work. Discussions are centred on workforce resilience as economies adapt to rapid technological and structural change.
AI is increasingly taking on routine tasks while providing clearer insights, allowing employees to focus on creativity, judgement, and higher-value activities.
Rather than replacing workers, intelligent tools are reshaping job design, career paths, and leadership expectations, particularly as labour shortages intensify across many developed economies.
Attention is also turning to leadership in an AI-driven workplace. Executives are expected to anticipate risks, spot emerging patterns, and guide teams through change, supported by AI systems that offer earlier and more accurate insights.
Clear communication, upskilling, and trust-building have emerged as core priorities for successful adoption.
Human oversight remains vital as AI enters HR and payroll systems, where errors carry regulatory and reputational risks. Speakers stressed that involving employees directly in AI design improves trust, reduces risk, and ensures intelligent systems address real operational challenges.
Diplo is live reporting on all sessions from the World Economic Forum 2026 in Davos.
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Generative AI has rapidly entered classrooms worldwide, with students using chatbots for assignments and teachers adopting AI tools for lesson planning. Adoption has been rapid, driven by easy access, intuitive design, and minimal technical barriers.
A new OECD Digital Education Outlook 2026 highlights both opportunities and risks linked to this shift. AI can support learning when aligned with clear goals, but replacing productive struggle may weaken deep understanding and student focus.
Research cited in the report suggests that general-purpose AI tools may improve the quality of written work without boosting exam performance. Education-specific AI grounded in learning science appears more effective as a collaborative partner or research assistant.
Early trials also indicate that GenAI-powered tutoring tools can enhance teacher capacity and improve student outcomes, particularly in mathematics. Policymakers are urged to prioritise pedagogically sound AI that is rigorously evaluated to strengthen learning.
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Lawmakers in the EU are moving closer to forcing technology companies to pay news publishers for the use of journalistic material in model training, according to a draft copyright report circulating in the European Parliament.
The text forms part of a broader effort to update copyright enforcement as automated content systems expand across media and information markets.
Compromise amendments also widen the scope beyond payment obligations, bringing AI-generated deepfakes and synthetic manipulation into sharper focus.
MEPs argue that existing legal tools fail to offer sufficient protection for publishers, journalists and citizens when automated systems reproduce or distort original reporting.
The report reflects growing concern that platform-driven content extraction undermines the sustainability of professional journalism. Lawmakers are increasingly framing compensation mechanisms as a corrective measure rather than as voluntary licensing or opaque commercial arrangements.
If adopted, the position of the Parliament would add further regulatory pressure on large technology firms already facing tighter scrutiny under the Digital Markets Act and related digital legislation, reinforcing Europe’s push to assert control over data use, content value and democratic safeguards.
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A new report by Anthropic suggests fears that AI will replace jobs remain overstated, with current use showing AI supporting workers rather than eliminating roles.
Analysis of millions of anonymised conversations with the Claude assistant indicates technology is mainly used to assist with specific tasks rather than full job automation.
The research shows AI affects occupations unevenly, reshaping work depending on role and skill level. Higher-skilled tasks, particularly in software development, dominate use, while some roles automate simpler activities rather than core responsibilities.
Productivity gains remain limited when tasks grow more complex, as reliability declines and human correction becomes necessary.
Geographic differences also shape adoption. Wealthier countries tend to use AI more frequently for work and personal activities, while lower-income economies rely more heavily on AI for education. Such patterns reflect different stages of adoption instead of a uniform global transformation.
Anthropic argues that understanding how AI is used matters as much as measuring adoption rates. The report suggests future economic impact will depend on experimentation, regulation and the balance between automation and collaboration, rather than widespread job displacement.
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IBM has unveiled a new consulting service designed to help organisations deploy and scale enterprise AI by pairing human experts with digital workers powered by AI.
The approach aims to address common challenges in AI adoption, such as skills gaps, governance, and integration with legacy systems, by combining domain expertise with automated AI capabilities that can execute repetitive and data-intensive tasks.
The service positions digital workers as extensions of human teams, enabling enterprises to accelerate workflows across areas such as finance, supply chain, customer service and IT operations. IBM emphasises that human specialists remain central to strategy, oversight and ethical use of AI, while digital workers support execution and scalability.
The offering includes guidance on governance frameworks, model choice, data architecture and change management to ensure responsible, secure and efficient deployment of AI technologies at scale.
IBM’s hybrid model reflects a broader industry trend toward human-AI collaboration, where AI amplifies professional capabilities while preserving human decision-making and oversight.
The company believes this will help organisations achieve measurable business outcomes faster than traditional AI implementations that rely solely on technology teams.
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A major data breach at Finnish psychotherapy provider Vastaamo exposed the private therapy records of around 33,000 patients in 2020. Hackers demanded bitcoin payments and threatened to publish deeply personal notes if victims refused to pay.
Among those affected was Meri-Tuuli Auer, who described intense fear after learning her confidential therapy details could be accessed online. Stolen records included discussions of mental health, abuse, and suicidal thoughts, causing nationwide shock.
The breach became the largest criminal investigation in Finland, prompting emergency government talks led by then prime minister Sanna Marin. Despite efforts to stop the leak, the full database had already circulated on the dark web.
Finnish courts later convicted cybercriminal Julius Kivimäki, sentencing him to more than six years in prison. Many victims say the damage remains permanent, with trust in therapy and digital health systems severely weakened.
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France’s data protection regulator CNIL has fined telecom operators Free Mobile and Free a combined €42 million over a major customer data breach. The sanctions follow an October 2024 cyberattack that exposed personal data linked to 24 million subscriber contracts.
Investigators found security safeguards were inadequate, allowing attackers to access sensitive personal data, including bank account details. Weak VPN authentication and poor detection of abnormal system activity were highlighted as key failures under the GDPR.
The French regulator also ruled that affected customers were not adequately informed about the risks they faced. Notification emails lacked sufficient detail to explain potential consequences or protective steps, thereby breaching obligations to clearly communicate data breach impacts.
Free Mobile faced an additional penalty for retaining former customer data longer than permitted. Authorities ordered both companies to complete security upgrades and data clean-up measures within strict deadlines.
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