Thought Leadership
Beyond Prompt Engineering
Developers are embracing Loop Engineering. Instead of relying on manual instructions, automated loops now independently orchestrate the work of AI coding assistants.
A Compliance Window, Not a Pause
Brussels grants more time, but the requirements remain unchanged. On June 16, 2026, the European Parliament adopted amendments to the EU AI Act. The changes extend the deadline for strict obligations affecting high-risk AI systems under Annex III by 16 months, moving the compliance date from August 2, 2026,
LLMs Under Attack
As companies increasingly deploy AI agents, their exposure to cyberattacks is also growing. The focus is shifting beyond traditional IT systems toward the AI models themselves, their prompts, and the data flows they rely on.
Ambiguity Comes at a Cost
Vibe coding promised to democratize software development. That may hold true for rapid prototypes, but not for the Java systems that keep banks, hospitals, and government agencies running. IT leaders must protect the foundation of their enterprise infrastructure.
When AI Agents Take Control
With autonomous AI agents entering enterprise workflows, AI hallucinations are taking on a new level of risk. As these systems become increasingly capable of acting independently, the key challenge is detecting hallucinations early and keeping them under effective control.
Loss of business-critical expertise
The retirement wave of the baby boomer generation is putting undocumented core IT systems at risk. Structured knowledge management is becoming essential to preserve critical institutional expertise before it disappears.
Microsoft AI Updates Every Week
Microsoft is turning AI agents into digital team members with their own identities. They can relieve employees from repetitive tasks, but they also require clean data, clear ownership, and a measured approach to the rapid pace of innovation.
Securing AI
AI agents and Shadow AI are creating new attack surfaces as companies often lack visibility into which data is processed and what access rights AI systems have. The key challenge is making AI usage transparent and controllable.
Mainframe Exit Market Faces Major Shake-Up
Organizations looking to quickly move away from their mainframes may face a harsh reality by 2030. According to Gartner, most mainframe exit projects will fail because providers are promising more than they can realistically deliver.
AI chip market 2026
Nvidia rules the AI chip market with an iron grip. But the competition never sleeps: AMD is pushing back with open platforms, Google is fine-tuning its TPUs for the inference era, and a Munich-based startup is challenging the entire industry with logarithmic mathematics. Who is building the AI chips
