The IT trends of 2026 point to artificial intelligence consolidating as critical infrastructure, the maturity of European regulatory frameworks (DORA, NIS2, AI Act) and the growing specialisation of roles that combine deep technical competencies with strategic vision. Cybersecurity stops being a cost and is recognised as a competitiveness factor; generative AI becomes part of day-to-day work without replacing human judgement; and digital sustainability starts to influence architecture decisions.
In this hub I bring together the articles where I analyse the trends that will set the technology agenda for the coming months: autonomous AI agents in the PMO, the evolution of cybercrime driven by generative models, the modernisation of COBOL and legacy systems with AI assistance, and the new generation of platforms (platform engineering, FinOps) that bring order and keep costs under control. The foresight is here; the fine print of regulation (EU AI Act, DORA, NIS2, ENS) lives in the Regulatory compliance.
Articles on 2026 trends
SysAdmin trends and challenges 2026
The modern SysAdmin 2026: AI automation, cloud, NIS2 security and new competencies for systems administration.
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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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IT security 2026: proactive defence with applied AI
IT security 2026: defensive AI, Zero Trust and NIS2 to protect your organisation with an executable plan this quarter.
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AI cybercrime 2026: deepfakes, phishing and digital fraud
AI cybercrime 2026: voice and video deepfakes, hyper-personalised phishing, banking fraud and AI defences.
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Platform Engineering 2026: from DevOps to the Internal Developer Platform
Platform engineering 2026: how to build an Internal Developer Platform with Backstage, Kubernetes and Golden Paths that delivers real value.
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FinOps cloud 2026: governing AI and multicloud costs
FinOps cloud 2026: a practice for governing the cost of generative AI, GPUs and multicloud with a framework, dashboards and anomaly alerts.
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Modernising COBOL with AI: a guide to legacy technology
Modernising COBOL with AI: how to tackle critical legacy technology without breaking operations. Strategy and real cases.
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Autonomous AI agents in project management
AI agents in the PMO: dynamic planning, risk prediction, reporting automation and the new role of the autonomous Project Manager in 2026.
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Exchange 2016 and 2019 end of support: migration plan
The last ESU programme for Exchange 2016 and 2019 ends in October 2026. What it means, the three possible ways out and a six-step migration plan.
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AI agents for business: how to move from pilot to production
Why most AI agents never leave the pilot stage and how to take them to production: business case, data, identity, autonomy and operations.
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Windows Server 2016 end of support: a 90-day migration plan
Windows Server 2016 loses support on 12 January 2027. A 90-day migration plan, what really breaks, and what DORA and NIS2 expect of you.
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Context engineering: the successor to prompt engineering in AI projects
Context engineering for AI projects: how to design the context that models receive to improve results, reliability and cost control.
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Enterprise AI model evaluation: benchmarks, red teaming and metrics 2026
Enterprise AI model evaluation 2026: key dimensions, benchmarks vs your own golden set, red teaming and metrics to report to the management committee.
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Vibe coding in the enterprise: how to govern AI-assisted development
Vibe coding in the enterprise: how to make the most of AI-assisted development with governance, security and EU AI Act compliance without losing pace.
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MCP in enterprise projects: architecture, governance and risks of the Model Context Protocol
MCP in enterprise projects: how to connect AI with internal systems securely, real risks and a practical guide for PMs and CISOs.
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AIOps for IT projects: intelligent automation of operations
AIOps for IT projects: what it is, use cases, phased implementation, the NIS2, DORA and EU AI Act regulatory framework, and common mistakes to avoid.
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Digital transformation with AI: how to reinvent your company
Digital transformation with AI: key dimensions, use cases, EU AI Act, NIS2 and DORA governance and mistakes to avoid.
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Autonomous AI agent with Microsoft 365: practical integration
Autonomous AI agent with Microsoft 365: reads Outlook, extracts actions with an LLM, creates Planner tasks and sends summaries via Teams.
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