CryptoQuant data shows Bitcoin mining profitability has fallen to its weakest level in 14 months, as declining prices and rising operational pressure weigh on the sector. The miner profit and loss sustainability index dropped to 21, its lowest reading since November 2024.
Lower Bitcoin prices and elevated mining difficulty have left operators ‘extremely underpaid’, according to the report. Network hash rate has also declined across five consecutive epochs, reaching its lowest level since September 2025 and signalling reduced computing power securing the network.
Severe winter weather across parts of the eastern United States added further strain, disrupting mining activity and pushing daily revenues down to around $28 million, a yearly low. Weaker risk appetite across equities and digital assets has compounded the impact.
Shares in listed miners such as MARA Holdings, CleanSpark, and Riot Holdings have fallen by double-digit percentages over the past week. Data from the Cambridge Bitcoin Electricity Consumption Index shows mining BTC now costs more than buying it on the open market, increasing pressure on weaker operators.
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Financial Conduct Authority research shows UK crypto ownership has declined even as Bitcoin prices surged. Adult participation fell from 12% in 2024 to 8% in the latest survey, equal to about 4.6 million people, although levels remain double those recorded in 2021.
A closer look suggests consolidation rather than collapse. Investors who stayed in the market are committing more capital, with higher-value portfolios becoming more common as retail activity gives way to institutional demand and Bitcoin ETF inflows.
Participants’ knowledge levels are improving. The regulator notes that active investors are more risk-aware and better informed, with ownership skewed towards men aged 18–34 from higher-income demographics and ethnic minority backgrounds.
Bitcoin retains the strongest recognition at 79%, while 57% of current investors hold BTC, a gradual year-on-year increase. Ether ownership stands at 43%, Dogecoin appears in 20% of portfolios, and awareness of newer altcoins remains limited, according to CoinMarketCap.
Stablecoin recognition has risen to 53%, reflecting broader discussion around payments and regulation.
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Anthropic engineers are increasingly relying on AI to write the code behind the company’s products, with senior staff now delegating nearly all programming tasks to AI systems.
Claude Code lead Boris Cherny said he has not written any software by hand for more than two months, with all recent updates generated by Anthropic’s own models. Similar practices are reportedly spreading across internal teams.
Company leadership has previously suggested AI could soon handle most software engineering work from start to finish, marking a shift in how digital products are built and maintained.
The adoption of AI coding tools has accelerated across the technology sector, with firms citing major productivity gains and faster development cycles as automation expands.
Industry observers note the transition may reshape hiring practices and entry-level engineering roles, as AI increasingly performs core implementation tasks previously handled by human developers.
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Pentagon officials are at odds with AI developer Anthropic over restrictions designed to prevent autonomous weapons targeting and domestic surveillance. The disagreement has stalled discussions under a $200 million contract.
Anthropic has expressed concern about its tools being used in ways that could harm civilians or breach privacy. The company emphasises that human oversight is essential for national security applications.
The dispute reflects broader tensions between Silicon Valley firms and government use of AI. Pentagon officials argue that commercial AI can be deployed as long as it follows US law, regardless of corporate guidelines.
Anthropic’s stance may affect its Pentagon contracts as the firm prepares for a public offering. The company continues to engage with officials while advocating for ethical AI deployment in defence operations.
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Millions of South Africans are set to gain access to AI and digital skills through a partnership between Microsoft South Africa and the national broadcaster SABC Plus. The initiative will deliver online courses, assessments, and recognised credentials directly to learners’ devices.
Building on Microsoft Elevate and the AI Skills Initiative, the programme follows the training of 1.4 million people and the credentialing of nearly half a million citizens since 2025. SABC Plus, with over 1.9 million registered users, provides an ideal platform to reach diverse communities nationwide.
AI and data skills are increasingly critical for employability, with global demand for AI roles growing rapidly. Microsoft and SABC aim to equip citizens with practical, future-ready capabilities, ensuring learning opportunities are not limited by geography or background.
The collaboration also complements Microsoft’s broader initiatives in South Africa, including Ikamva Digital, ElevateHer, Civic AI, and youth certification programmes, all designed to foster inclusion and prepare the next generation for a digital economy.
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European technology leaders are increasingly questioning the long-held assumption that information technology operates outside politics, amid growing concerns about reliance on US cloud providers and digital infrastructure.
At HiPEAC 2026, Nextcloud chief executive Frank Karlitschek argued that software has become an instrument of power, warning that Europe’s dependence on American technology firms exposes organisations to legal uncertainty, rising costs, and geopolitical pressure.
He highlighted conflicts between EU privacy rules and US surveillance laws, predicting continued instability around cross-border data transfers and renewed risks of services becoming legally restricted.
Beyond regulation, Karlitschek pointed to monopoly power among major cloud providers, linking recent price increases to limited competition and warning that vendor lock-in strategies make switching increasingly difficult for European organisations.
He presented open-source and locally controlled cloud systems as a path toward digital sovereignty, urging stronger enforcement of EU competition rules alongside investment in decentralised, federated technology models.
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OpenAI has developed an internal AI data agent designed to help employees move from complex questions to reliable insights in minutes. The tool allows teams to analyse vast datasets using natural language instead of manual SQL-heavy workflows.
Across engineering, finance, research and product teams, the agent reduces friction by locating the right tables, running queries and validating results automatically. Built on GPT-5.2, it adapts as it works, correcting errors and refining its approach without constant human input.
Context plays a central role in the system’s accuracy, combining metadata, human annotations, code-level insights and institutional knowledge. A built-in memory function stores non-obvious corrections, helping the agent improve over time and avoid repeated mistakes.
To maintain trust, OpenAI evaluates the agent continuously using automated tests that compare generated results with verified benchmarks. Strong access controls and transparent reasoning ensure the system remains secure, reliable and aligned with existing data permissions.
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A survey of contact centre and customer experience (CX) leaders finds that AI has become ‘non-negotiable’ for organisations seeking to deliver efficient, personalised, and data-driven customer service.
Respondents reported widespread use of AI-enabled tools such as chatbots, virtual agents, and conversational analytics to handle routine queries, triage requests and surface insights from large volumes of interaction data.
CX leaders emphasised AI’s ability to boost service quality and reduce operational costs, enabling faster response times and better outcomes across channels.
Many organisations are investing in AI platforms that integrate with existing systems to automate workflows, assist human agents, and personalise interactions based on real-time customer context.
Despite optimism, leaders also noted challenges, including data quality, governance, skills gaps and maintaining human oversight, and stressed that AI should augment, not replace, human agents.
The article underscores that today’s competitive CX landscape increasingly depends on strategic AI adoption rather than optional experimentation.
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A coalition of researchers and experts has identified future research directions aimed at enhancing AI safety, robustness and quality as systems are increasingly integrated into critical functions.
The work highlights the need for improved tools to evaluate, verify and monitor AI behaviour across diverse real-world contexts, including methods to detect harmful outputs, mitigate bias and ensure consistent performance under uncertainty.
The discussion emphasises that technical quality attributes such as reliability, explainability, fairness and alignment with human values should be core areas of focus, especially for high-stakes applications in healthcare, transport, finance and public services.
Researchers advocate for interdisciplinary approaches, combining insights from computer science, ethics, and the social sciences to address systemic risks and to design governance frameworks that balance innovation with public trust.
The article also notes emerging strategies such as formal verification techniques, benchmarks for robustness and continuous post-deployment auditing, which could help contain unintended consequences and improve the safety of AI models before and after deployment at scale.
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AI is often criticised for its growing electricity and water use, but experts argue it can also support sustainability. AI can reduce emissions, save energy, and optimise resource use across multiple sectors.
In agriculture, AI-powered irrigation helps farmers use water more efficiently. In Chile, precision systems reduced water consumption by up to 30%, while farmers earned extra income from verified savings.
Data centres and energy companies are deploying AI to improve efficiency, predict workloads, optimise cooling, monitor methane leaks, and schedule maintenance. These measures help reduce emissions and operational costs.
Buildings and aviation are also benefiting from AI. Innovative systems manage heating, cooling, and appliances more efficiently. AI also optimises flight routes, reducing fuel consumption and contrail formation, showing that wider adoption could help fight climate change.
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