Staying Ahead of the AI Revolution: An Analysis of Digital Disruption

9

October

2025

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My first encounter with generative AI came when a friend send me a video of him using ChatGPT when this platform was introduced to the world. It was immediately clear to me that this technology would be a new phase in digital transformation. What struck me most was not merely the tool’s ability to generate human-like responses but the speed at which it seemed to improve. Since then I have worked with AI almost daily, typically as a substitute for traditional search engines, but I always sense that the technology is getting better at a rate faster than my ability to absorb it.

This sense of constant catch-up became even more real during the guest lecture of Dr. Maurice de Rochemont on AI prototyping. In a matter of minutes, the lecturer build a working website from a number of freely available AI tools such as ChatGPT, Gamma.app, and v0.dev. what particularly amazed me about his approach was how these tools supported each other: one created optimized prompts for another AI tool, another created visual designs, and another built a working prototype. This smooth integration of different AI tools is a demonstration of the way AI systems integrate between platforms, forming digital ecosystems that prevent the necessity of traditional technical knowledge.

From an Information Strategy perspective, we can recognize a few key concepts. Firstly, it is one of digital disruption, where emerging technology reshapes industry dynamics by lowering costs of entry and introducing new models of business. Secondly, it is related to the idea of digital business ecosystems, where interconnecting platforms gain value from data exchange and automation. Thirdly, it illustrates information goods principles, AI products which are zero-cost to copy but very variable in value.

While in the past AI was presented as a threat, I now consider it a stimulus for innovation and a force to drive competitiveness. The rapid progress of generative AI emphasizes the need for organizations, and individuals, to adopt adaptive learning paradigms in order to stay up to date with this ongoing tide of technology acceleration. With AI advancing faster than any technology has ever done, the sky is truly the limit, but only for those who choose to keep up.

Sources:

de Rochemont, m (2025). Prototyping using low-code gen-AI from a business perspective. https://canvas.eur.nl/courses/53279/files/101236898?module_item_id=1469909



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