The Information Landscape.

HBR’s latest study finds that generative AI use is widening beyond basic task support, with people adopting it for a broader range of activities as tools such as vibe coding and agentic workflows gain traction. For organisations, this indicates AI is moving deeper into everyday work rather than remaining a niche productivity aid, so leaders need to plan for wider employee use, governance and skills support. The article also suggests the regulatory focus is shifting from simple deployment to oversight of more autonomous AI use, with implications for accountability, risk management and the controls needed around human review and decision making.

The CIPD has launched new AI resources, developed with Innovate UK BridgeAI, to help employers use artificial intelligence responsibly and plan for changing workforce skills. This initiative matters for organisations because research shows that successful AI adoption depends on treating it as a people-centred transformation rather than a purely technical task, requiring cross-functional governance and employee co-creation to avoid low engagement or "shadow AI" use. The policy implications include findings that will inform updates to the CIPD’s Profession Map and the development of ethical AI frameworks and an AI skills framework to guide businesses on workforce readiness.

The Institute of Directors has published board-level guidance on responsible AI governance, setting out questions directors should ask to ensure AI is identifiable, auditable, measurable and subject to clear accountability, oversight and regular review. It matters for organisations because AI adoption now affects risk, strategy, workforce impacts, data protection and stakeholder trust, so boards are expected to oversee AI use across in-house, vendor and embedded systems rather than leaving it solely to technical teams. The guidance also points to policy and regulatory implications, including the need to monitor changing legal requirements across jurisdictions, map AI controls to applicable standards and maintain formal governance structures, such as named board and executive responsibility, acceptable-use policies and risk assessments.

The British Chambers of Commerce says the UK workforce is not prepared for rapid AI adoption, citing a parliamentary briefing that found only 21% of adults can explain AI meaningfully and just one in five workers feel confident using it. It argues that AI is already associated with net job losses in some firms and that weak reskilling efforts are leaving organisations exposed to labour market disruption, fewer entry-level routes and higher risk of workforce exit. For organisations, the report highlights a need to move beyond short online training and to invest in deeper workforce redesign and capability building. It also points to a policy response, echoing the IMF, that treats AI as a macro-critical transition requiring labour market institutions, portable benefits and transition support to help workers move between roles and stay skill-ready.

The article reports research suggesting that people who believe the media is biased against their side are also more likely to see misinformation as biased against them, reflecting a broader partisan perception gap. For organisations, this matters because it affects how employees, customers and stakeholders judge information credibility, which can shape trust, compliance and responses to disinformation or internal communications. For policy and regulation, the piece reinforces the case for digital and media literacy measures rather than relying only on content removal or enforcement, but the article itself does not indicate any new regulatory change.