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.
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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.
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AI Project Manager: leading AI integration
AI Project Manager: role, key skills and the future of this figure leading AI integration in projects in 2026.
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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…
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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.
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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.
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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.
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How to budget an AI project: the hidden costs
How to budget an AI project honestly: the hidden costs, FinOps applied to GenAI, budgeting the full life cycle and tying spending to ROI.
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Data governance for AI: the invisible foundation
Data governance for AI: why data quality beats the model, the pillars of governance, data catalogue and lineage, and GDPR and EU Data Act compliance.
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Change management in AI projects: the human factor
Change management in AI projects: why AI meets resistance, the levers that work, the fear for one’s job, emotions in adoption and why people decide success.
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PMO agent architecture: how to design an AI agent for a PMO
PMO agent architecture: the four functional blocks, decision flow, connectors, security, governance and EU AI Act compliance for corporate environments.
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Responsible AI: principles for technology projects
Responsible AI: key EU AI Act principles for technology projects. A practical guide to ethics and governance for AI Project Managers.
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IT project using artificial intelligence: a practical guide
AI IT project: planning, architecture, quality, governance and the EU AI Act. A practical guide to managing AI projects.
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From Ibertex to AI: 40 years of digital evolution
From Ibertex to artificial intelligence: 40 years of digital evolution in Spain, technological milestones and keys for the future.
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