Artificial Intelligence

Analysts warn Gulf investors should carefully evaluate AI infrastructure investments as billions flow into data centres and computing while long term financial returns remain uncertain.

Explore how organizations can move from AI experimentation to enterprise transformation by redesigning workflows, embracing AI-enabled workforces, and strengthening governance, security, and infrastructure for the AI-native era.

Microsoft and Uber are reviewing internal AI spending after costs linked to advanced coding tools exceeded expectations, raising broader questions about AI adoption and workplace automation.

An in-depth analysis of AI adoption in Pakistan, exploring institutional readiness, data governance, digital infrastructure, workforce capability, local language relevance, public trust, and the practical conditions required for successful AI implementation.

An in-depth analysis of enterprise AI priorities for IT leaders, covering AI spending, workforce enablement, governance, deployment challenges, operational discipline, and digital transformation in Pakistan’s evolving technology landscape.

At IBM Think 2026 in Boston, GIKI alumna Samiya Kashif along with CEO IBM Arvind Krishna, unveiled IBM Bob, an agentic AI layer revolutionizing the enterprise SDLC through orchestration, governance, and scale.

Microsoft, Alphabet, Meta, and Amazon report strong cloud and AI-driven revenue growth while collectively increasing capital expenditure forecasts, signaling continued acceleration in AI infrastructure investment across the tech sector.

Google has introduced native agentic AI governance in its Gemini Enterprise Agent Platform, embedding identity, audit, and control features as enterprises struggle with governance gaps in AI adoption.

SAP highlights enterprise AI governance as critical for securing profit margins, emphasizing deterministic control, agentic AI risks, and data driven enterprise intelligence systems.

Microsoft 2026 Work Trends Index reveals AI adoption is rising, but organizations must redesign work systems to unlock full value and improve productivity outcomes.

A new IBM CEO study reveals 76% of organizations now have chief AI officers, up from 26% in 2025, highlighting growing AI leadership roles, workforce reskilling needs, and increased focus on AI adoption across enterprises.

CIOs in emerging economies must strengthen cloud maturity and data foundations to scale AI beyond pilots, ensuring reliable, governed, and cost-effective enterprise deployment.