Best of LinkedIn: Artificial Intelligence CW 47/ 48

EU AI Act emerges as an enforceable baseline, with evidence based compliance and material fines for high risk misuse

CIOs and legal teams treat the EU AI Act as a global reference, influencing AI governance beyond Europe

New frameworks such as PROTECT turn abstract AI risk into concrete control checklists for regulated sectors

Concerns around mental privacy, data misuse and cyber abuse highlight that human responsibility must match technical safeguards

GenAI success is framed as a context problem, with domain grounding and high quality data outranking raw model choice

Frameworks such as GLOE and GenAI Mastery Staircase steer organisations from scattered pilots to staged capability building

Transformation leaders redesign workflows around AI, shifting from tool deployment to end to end process change

Failed initiatives underline the need for board ownership, clear value theses and realistic expectations about organisational readiness

Gemini 3 and Gemini 3 Pro reposition Google’s stack as an interactive, multimodal workbench that pressures incumbent assistants

New products like Gemini Banana Pro signal a push toward AI generated business storytelling and visual communication

Cisco and Intel bring packaged EdgeAI platforms that make industrial inference deployment more repeatable and manageable

Experiments with agent builders and sector specific copilots show AI moving deeper into core transactional and analytical systems

Comparisons between agents and traditional machine learning highlight agents as orchestration layers optimised for language and tools

Enterprise scenarios feature AI agents coordinating multi step workflows in ERP, customer service and knowledge management

Concepts of an AI native operating system suggest assistants that organise apps, context and tasks around users

Conversational commerce visions recast shopping as dialog, with agents handling discovery, configuration and post purchase service

Industrial multimodal AI uses real time vision and guidance to improve safety, productivity and quality on the shop floor

World Model ideas push AI toward simulation and planning, supporting decisions in complex physical environments

Connecting data silos is identified as the main productivity unlock, outweighing incremental model accuracy gains

Energy and automotive leaders present AI as foundational infrastructure for system efficiency, resilience and software defined mobility

Organisations prioritise AI literacy and hands on skills before mass tool rollout to avoid cosmetic adoption

Structured learning paths and curated playbooks help employees navigate the fast expanding GenAI ecosystem

Large scale partnerships focus on reskilling professionals rather than replacing roles, especially in services and knowledge work

Leadership courage, clear communication and trust building are presented as more critical than deep technical expertise

Platform rivalry intensifies, with Google’s ecosystem and OpenAI’s model centric approach offering distinct strategic paths

Analyses of inference economics argue that scaled, efficient providers can sustain profitable AI infrastructure businesses

European voices promote hybrid AI for explainability and sustainability, moderating pure scale based races

National strategies diverge, with heavy AI campus investment in India and ongoing calls for more decisive execution in Europe

World AI Expo in Dubai acts as a condensed laboratory for AI adoption, connecting founders, enterprises and policymakers

Discussions focus on practical implementation, governance and privacy aware architectures rather than abstract future scenarios

Agentic AI, SME innovation and sector specific use cases illustrate that advanced AI capabilities are no longer confined to big tech

The event reinforces AI as an emerging operating system for business, while keeping the human and trust dimension firmly in view