We curate most relevant posts about Artificial Intelligence on LinkedIn and regularly share key takeaways.
This edition explores the transition of artificial intelligence from speculative hype to strategic execution as the industry moves towards 2026. Experts emphasise that success now depends on agentic AI, where autonomous systems perform complex workflows, requiring leaders to shift from simple prompting to deep system configuration. A significant portion of the text focuses on the EU AI Act, highlighting its role as a global benchmark for governance, ethics, and compliance in high-stakes environments. Contributors argue that while AI can drastically enhance productivity in sectors like HR and law, it requires human-in-the-loop oversight to mitigate risks like algorithmic bias and data drift. The collection also offers practical implementation roadmaps and architectural frameworks, such as the Model Context Protocol, to standardise how AI interacts with existing business tools. Ultimately, the sources suggest that the competitive divide will be defined by AI literacy and the ability to integrate trustworthy, sovereign intelligence into the core of organisational operations.
This podcast was created via Google NotebookLM.
