Tech debt isn’t just an engineering inconvenience. It’s a business risk that compounds over time, affecting scalability, team performance and ultimately revenue
The question I hear most from investors has changed. A year ago, it was simple: “Do you have AI?” Today it’s harder and more interesting: “Where is AI actually driving resolution in production?”
Driven by the rise of artificial intelligence, cloud computing and large-scale data storage, data centre construction is accelerating at an unprecedented pace. Investments now run into tens of billions of euros, with projects proliferating across the country.
Voice AI has crossed a threshold of perceived reliability, capability and cost. It’s now being rapidly rolled out to cover transcription, synthetic voice, conversational assistants and voice agents, all at near-human speed and capability.
Across industries, organisations are discovering that scaling AI exposes structural fragility. AI acts as a stress test, surfacing fragmented accountability, governance built for static systems and data foundations that were never fully aligned.
Netcompany CEO Andre Rogaczewski argues that agentic AI will hit demand for peripheral tools, but increase the value of domain expertise and end-to-end delivery