El Technology leadership in 2026 demands a profile that combines strategic vision, human competencies and a deep understanding of artificial intelligence as a business lever. CISOs, CTOs, Project Managers and technical leadership navigate environments where the speed of change outpaces what traditional playbooks can handle: you have to decide with incomplete information, communicate clearly under pressure and build resilient teams across hybrid and distributed workforces.
In this hub I bring together the articles where I cover applied IT leadership: how to manage teams in transformation, communicate technical decisions to non-specialist committees and lead AI adoption in organisations. It includes the two hardest conversations with leadership: proving the real value of an AI project with KPIs and an honest ROI, and deciding on generative-AI risk with judgement instead of intuition. All aimed at building team cultures based on trust, autonomy and continuous learning.
Articles on IT leadership
Emotional intelligence and leadership in the age of AI
Emotional intelligence and AI leadership: the five pillars, change management, ethical decisions and practical development. A guide for AI leaders.
Read article
The new role of AI in corporate technology leadership
The new role of AI in technology leadership: how the AI Project Manager drives efficiency, security and ethics in 2026.
Read article
AI Project Manager: leading the integration of AI
AI Project Manager: the role, key skills and future of this figure for leading AI integration into projects in 2026.
Read article
Compliance project management for NIS2: from delivery to compliance
NIS2 compliance from the first phase of the IT project, not at the final audit. A method for Project Managers who can no longer look the other way…
Read article
IT project management trends 2026: AI, regulation and agility
IT project management 2026: trends in applied AI, hybrid agile, algorithmic ethics and the leader’s new role. A practical guide with real cases.
Read article
KPIs and ROI of GenAI projects: how to measure what really matters
How to define KPIs and calculate the ROI of GenAI projects beyond hours saved: value metrics, hidden costs and common mistakes when measuring AI.
Read article
Risk management in GenAI IT projects: a practical guide
GenAI IT project risks: a practical guide to leading generative-AI implementation with security, efficiency and regulatory compliance.
Read article