Digital business models Archives | Page 5 of 578

Jury rules in favour of OpenAI and Sam Altman in Elon Musk lawsuit

A federal jury in Oakland, California, ruled in favour of Sam Altman, OpenAI and its president, Greg Brockman, in a lawsuit brought by Elon Musk. Musk alleged that OpenAI’s leadership departed from the organisation’s original non-profit mission.

Judge Yvonne Gonzalez Rogers dismissed Musk’s claims after the jury delivered its advisory verdict. The court concluded that the claims were filed outside the applicable legal time limit, accepting OpenAI’s argument that Musk had been aware of discussions about a for-profit structure several years earlier.

Musk argued that OpenAI had shifted away from its original non-profit structure after establishing a for-profit entity. OpenAI denied the allegations throughout the case, arguing that Musk understood and supported discussions about restructuring before leaving the company in 2018.

Musk alleged that Sam Altman and the other defendants violated the organisation’s charitable purpose and financially benefited from it unfairly, arguing that OpenAI had originally been established in 2015 as a non-profit focused on benefiting humanity before later shifting towards private profit.

OpenAI rejected all of Musk’s claims and stated that he was always aware of plans to create a for-profit entity.

Musk later announced plans to appeal, claiming the ruling was based on procedural timing rather than the substance of the allegations. The ruling may reduce legal uncertainty for OpenAI as the company continues expanding its commercial operations.

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China pushes deeper AI integration with advanced manufacturing

Chinese Premier Li Qiang has called for deeper integration between AI and advanced manufacturing as China seeks to accelerate the intelligent upgrading of its industrial economy.

Li made the remarks during an inspection tour of technology companies in Beijing, where he was briefed on innovation and industrial development in intelligent robotics. He described intelligent robots as a key vehicle for integrating AI with advanced manufacturing.

The premier called for stronger basic research, breakthroughs in core technologies and further exploration at the frontier of intelligent robotics. He also urged faster innovation in complete machines, key components, and intelligent decision-making and control systems to support high-quality industrial development.

Li said China should make use of its large domestic market, complete industrial chains and wide range of application scenarios to expand the intelligent robotics sector. He also said enterprises should play a leading role in industrial transformation.

Companies were encouraged to advance intelligent upgrades across the full production process, including research and development, design, manufacturing, operations management and after-sales services.

Why does it matter?

The remarks show how China is positioning AI as part of industrial modernisation, not only as a digital services technology. By linking AI with robotics, manufacturing processes and enterprise-led upgrading, Beijing is reinforcing the role of intelligent systems in productivity, competitiveness and high-quality industrial growth.

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OpenAI tests financial data integration in ChatGPT

OpenAI has launched a preview of a personal finance experience in ChatGPT for Pro users in the United States. The feature allows users to connect financial accounts, view a dashboard, and ask questions based on their financial data.

The feature is available on web and iOS apps and supports more than 12,000 financial institutions. OpenAI said the preview will initially be available to a smaller group of users before expanding more broadly.

Users can connect accounts through Plaid, with Intuit support planned. Once authenticated, ChatGPT syncs and categorises financial data, allowing users to view portfolio performance, spending, subscriptions, upcoming payments, and other financial activity.

OpenAI said the feature supports questions related to budgeting, planning, subscriptions, investments, and spending activity. OpenAI said ChatGPT is intended to help users review financial information but is not a substitute for professional financial advice.

Users can also choose to save financial context as ‘Financial memories’ for future conversations, according to OpenAI. OpenAI says those memories are a dedicated type of memory used specifically for financial conversations and can be viewed or deleted from the Finances page.

OpenAI said connected accounts allow access to balances, transactions, investments, and liabilities, but not full account numbers or account controls. Users can disconnect accounts at any time, after which synced account data will be deleted from OpenAI’s systems within 30 days.

Conversations with connected financial accounts default to GPT-5.5 Thinking. OpenAI said it worked with finance professionals to evaluate the feature on personal finance tasks and response quality.

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OECD paper examines competition effects of AI adoption in downstream markets

The OECD has published a competition policy paper examining how AI adoption, including generative and agentic systems, may affect competition in downstream markets.

The paper focuses on how firms use AI as an input into production, service delivery, logistics, and customer engagement, rather than on competition in AI infrastructure or foundation model development. The paper states that AI may support competition by lowering barriers to entry, reducing minimum efficient scale, and supporting product differentiation and innovation.

Generative AI can automate or accelerate cognitive tasks such as writing, coding, summarisation, translation, planning, image generation, and customer support. According to the paper, these tools may allow smaller firms and start-ups to operate with lower staffing and operational costs.

The paper identifies potential gains from AI-enabled personalisation, predictive analytics, and cost reduction. AI tools can help firms offer tailored services, reduce operating costs, and improve matching between consumers and suppliers.

The OECD said the effects of AI adoption may vary depending on factors such as firm size, sector exposure, access to data, and computing resources. Adoption costs, integration challenges, access to data and compute, firm size, and sector exposure can all shape whether AI strengthens competition or reinforces existing market advantages.

The paper identifies competition concerns, including algorithmic collusion, personalised pricing, bundling, and dependence on large model providers or cloud platforms. It also warns that dependence on a small number of model providers, cloud platforms, or proprietary data sources could limit downstream contestability.

The paper describes agentic AI as an emerging issue for competition authorities. Systems made up of multiple coordinated AI agents could reshape search, workflow automation, customer engagement, and consumer choice, while raising new questions about liability, auditability, oversight, and market structure.

The OECD said competition authorities may require a combination of enforcement, market monitoring, regulation, and cooperation to address AI-related market developments. It also identifies areas for further research, including sector-specific impacts in health, finance, professional services, platform services, search, logistics, and creative industries.

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EU AI Act transparency rules go beyond high-risk systems

The EU AI Act’s Article 50 introduces a wide-ranging transparency regime that requires organisations to disclose when AI is involved in interactions or content creation. Unlike high-risk rules elsewhere in the regulation, these obligations apply broadly across sectors and business models, covering any organisation that uses AI in areas such as chatbots, content generation, or biometric analysis.

Four core scenarios trigger compliance duties. These include situations where users interact directly with AI systems, where AI generates synthetic audio, video, text or images, where emotion recognition or biometric categorisation is used, and where AI is involved in producing deepfakes or public-interest content.

Obligations vary between providers and deployers but consistently centre on clear user notification and content labelling.

Providers of AI systems must ensure users are informed at the point of interaction and that synthetic outputs are marked in a detectable, machine-readable format. Deployers face additional disclosure duties when publishing AI-generated material or using systems that analyse human emotions or biometric data.

Deepfake content and AI-generated public-interest text require explicit labelling unless strong editorial oversight or human review is present.

Implementation will depend heavily on forthcoming EU Guidelines and a Code of Practice that will define technical standards for labelling and provenance. With enforcement due in August 2026, organisations are urged to map AI use cases, assess disclosure needs, and prepare systems for evolving transparency requirements.

Why does it matter?

Article 50 makes AI transparency a baseline requirement across everyday tools, not just high-risk systems. It forces organisations to clearly disclose AI use and label AI-generated content, directly shaping product design, publishing practices, and user trust.

By embedding disclosure into routine AI interactions, it turns transparency into a core compliance duty for any business operating in the EU AI market.

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OpenAI integrates Codex into ChatGPT mobile app

OpenAI has integrated Codex into the ChatGPT mobile app, allowing users to monitor and manage agentic coding workflows from iOS and Android devices.

The feature, currently in preview and available across all plans, lets users view live Codex environments, review outputs, approve commands, change models, and start new tasks from their phones. OpenAI said the update is intended to support work across multiple threads and workflows, rather than to control a single task remotely.

Codex is OpenAI’s coding agent for software development, designed to help with tasks such as building features, refactoring code, generating pull requests, testing and documentation. OpenAI describes the Codex app as a command centre for agentic coding, with agents able to work in parallel across projects through worktrees and cloud environments.

The mobile integration aligns with other recent Codex updates, including background operations in desktop environments and a browser extension for live sessions. Together, the updates point to OpenAI’s effort to turn Codex into a persistent development assistant that can continue working across devices and environments.

The move also comes amid growing competition with Anthropic’s Claude Code, which has introduced similar remote-monitoring features. Both companies are competing to make agentic coding tools central to developer workflows, particularly for businesses and technical teams seeking more autonomous software development support.

Why does it matter?

Mobile access makes agentic coding less tied to a single workstation. If developers can review outputs, approve commands and manage parallel coding tasks from a phone, AI coding agents become more like always-on collaborators than occasional coding assistants. The shift could accelerate competition between OpenAI, Anthropic and other AI firms over who controls the next layer of software development workflows.

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Poland launches campaign to boost business cybersecurity awareness

Poland’s Ministry of Digital Affairs has launched a campaign to encourage entrepreneurs and management teams to take a more active role in protecting their companies from cyber threats.

The campaign, titled ‘Build your company’s digital security click by click’, is aimed at businesses and senior decision-makers. The ministry says its main goal is to encourage firms to address cybersecurity at both organisational and operational levels.

The campaign stresses that cybersecurity is no longer solely the responsibility of IT departments but is a key part of responsible business management. The ministry points to growing risks such as phishing and ransomware as digital technology becomes central to company operations.

According to the ministry, effective cybersecurity depends on three pillars: knowledge, processes and people. The campaign encourages firms to analyse risks, develop incident response procedures, train employees regularly and use official guidance available through cyber.gov.pl.

A separate focus is placed on medium-sized and large companies subject to requirements under Poland’s national cybersecurity system. The ministry says firms in key sectors should understand obligations related to risk management, incident reporting and the protection of information systems.

The campaign also calls on company leaders to integrate cybersecurity into business strategy, including through security policies, investment in skills and the development of a culture of responsibility across organisations.

Why does it matter?

The campaign reflects a broader shift in cybersecurity policy from technical protection towards organisational responsibility. By targeting business leaders, Poland is emphasising that cyber resilience depends not only on tools, but also on governance, staff training, incident response and compliance with national cybersecurity obligations.

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EU Commission reviews Android DMA rules on interoperability

The European Commission is consulting third parties on proposed measures requiring Alphabet to ensure effective interoperability between Google Android and AI services under the Digital Markets Act.

The draft measures focus on AI services’ access to key Android capabilities, including wake-word activation, contextual data, integration with applications, and access to hardware and software resources needed for reliable and responsive services.

The Commission opened proceedings in January 2026 to specify how Alphabet should comply with DMA interoperability obligations for features relevant to AI services. Its proposed measures cover invocation, context, actions on apps and the operating system, access to resources, and general requirements such as free access, documented frameworks and APIs, technical assistance and reporting.

Stakeholders were asked to comment on the effectiveness, completeness, feasibility and implementation timelines of the proposed measures, particularly from the perspective of AI service providers and Android device manufacturers.

Input from Alphabet and interested third parties may lead to adjustments before the Commission adopts a final decision-making the measures legally binding. The Commission is expected to adopt that decision by 27 July 2026.

Why does it matter?

The case shows how the DMA is being applied to the emerging competitive landscape for AI assistants and mobile operating systems. If third-party AI services need access to Android features such as wake words, contextual data, app actions and on-device resources to compete effectively, interoperability rules could shape which AI tools reach users and how much control gatekeepers retain over mobile AI ecosystems.

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Anthropic launches Claude Platform on AWS with managed AI agent tools

Anthropic has made Claude Platform on AWS generally available, giving AWS customers access to Claude Platform features through AWS authentication, billing and infrastructure integrations.

The platform includes Claude Managed Agents, code execution, web search, web fetch, prompt caching, batch processing, citations, support for the Files API, and support for Skills and MCP connectors. Anthropic said new Claude models and beta tools will become available on AWS at the same time they launch on the native Claude API.

Authentication runs through AWS Identity and Access Management, while audit logging is handled through AWS CloudTrail and billing through a single AWS invoice. Anthropic said the service is designed for organisations seeking native Claude Platform functionality while staying within existing AWS credentials, permissions and operational workflows.

The company also clarified the distinction between Claude Platform on AWS and Claude on Amazon Bedrock. Under the new platform, Anthropic operates the service and data is processed outside the AWS boundary.

By contrast, Claude on Amazon Bedrock keeps AWS as the data processor and operates within the AWS boundary, making it more suitable for customers with strict regional data residency requirements or those needing data processed exclusively within AWS infrastructure.

Why does it matter?

The launch shows how competition between major AI providers is shifting towards enterprise deployment, cloud integration and agent-based automation. For organisations, the choice is no longer only about model performance, but also about where data is processed, how access is controlled, how audit logs are handled and whether AI agents can be deployed within existing cloud governance systems.

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Bhutan’s Gelephu city launches fast-track crypto licensing for global firms

Bhutan’s Gelephu Mindfulness City has launched an accelerated pathway for crypto and fintech firms already regulated in major financial hubs such as Singapore, Hong Kong and Abu Dhabi.

The system is intended to reduce duplication in compliance checks while allowing eligible companies to incorporate in Gelephu, seek local regulatory approval, and open corporate bank accounts through a coordinated process involving DK Bank, the city’s official banking partner. Standard Know Your Customer and Anti-Money Laundering checks will still apply.

Officials said foreign licences will not replace local supervision, but will instead help streamline due diligence. The framework also differs from passporting models used in regions such as the European Union, as each firm must still meet Gelephu’s own regulatory requirements.

Gelephu Mindfulness City also rejected speculation linking recent Bitcoin transfers flagged by analytics platforms to reserve sales. Officials said Bitcoin held under the country’s ‘Bitcoin Development Pledge’ remains part of strategic reserves allocated for the long-term development of the city.

Why does it matter?

The move shows how smaller jurisdictions are competing for digital asset and fintech firms by offering faster market entry while trying to preserve regulatory credibility. By recognising existing licences without replacing local supervision, Gelephu is positioning itself as a controlled gateway for firms seeking access to a new crypto and fintech jurisdiction.

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