Best of LinkedIn: Artificial Intelligence CW 27/ 28

New Products & Platforms

• Sara rolls out as a hiring “teammate”, applying large-language models to unbiased candidate screening and cost reduction

• IBM Power11 debuts with on-chip AI accelerators and zero planned downtime, backed by an ecosystem of ISVs such as MariaDB for hybrid workloads

• xAI Grok 4 claims benchmark leadership and the ability to autonomously build AI systems end-to-end

• Kimi K2 emerges as an open-source multimodal model matching state-of-the-art context lengths and performance

• Agentic AI browsers surface to trigger autonomous, end-to-end business workflows directly from the browser interface

Strategic Moves & Investments

• NVIDIA pivots toward “Sovereign AI”, enabling governments to run foundational models on national infrastructure rather than hyperscale clouds

• Enterprises begin repatriating AI workloads from public cloud to private environments to regain control and manage total cost of ownership

• Meta secures USD 29 billion in private credit to finance a new fleet of North American AI data centers, underscoring the compute arms race

• Boards explore playbooks that link CEO compensation and shareholder value creation directly to AI adoption and re-skilling initiatives

Partnerships & Ecosystems

• IBM partners with MariaDB, Red Hat and other ISVs to certify workloads on Power11, positioning the stack as a turnkey AI platform

• Middle-East digest from Presight highlights cross-sector collaborations in telecom, finance and public services to scale generative AI adoption

• Cross-industry teams form to deliver scalable AI results for clients, signalling that integration capability is becoming as critical as model quality

Responsible AI & Governance

• Nine actionable principles for trustworthy AI are proposed, placing data governance and culture at the centre of enterprise roll-outs

• Thought leaders liken rushing AI deployment without ethics to launching cars without seatbelts, urging early guardrails and oversight

• An EU copyright study stresses clearer licensing frameworks for training data, while Yann LeCun calls for architectures beyond today’s large language models

Agentic AI & Market Trends

• Conversations converge on a shift from single-task automation to orchestrated agentic systems that predict, decide and act across workflows

• Gartner warns that hype will derail many early agentic AI projects unless use-case selection and success metrics are in place

• Frameworks emerge to help enterprises identify high-value agent scenarios and embed them into existing processes

• Analysts argue that redesigning work around AI agents, not tools, is the next productivity curve for knowledge-based industries

Want to see the posts voices behind this summary?

This week’s roundup (CW 27/ 28) brings you the Best of LinkedIn on Artificial Intelligence:

→ 61 handpicked posts that cut through the noise

→ 45 fresh voices worth following

→ 1 deep dive you don’t want to miss