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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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Hollywood was subject to one of its longest screenwriters’ strikes in history in 2023, for 148 days. Central to the strike was the issue of the increasing screenwriting by generative artificial intelligence. Writers Guild of America (WGA) members believed that the production companies would use AI programs to generate or to rewrite scripts without fair remuneration to human screenwriters (AP News, 2023).

That agreement reached between the WGA and the studios had specific restrictions toward the use of AI. The studios cannot use AI to write or to adapt written scripts without notice to and compensation to concerned writers (The Guardian, 2023). Also, AI products that are provided to writers need to be disclosed, and no such work is to be considered as “source material” that reduces human creators credits and compensation (AP News, 2023).

This decision has enormous implications outside of Hollywood. It establishes precedent for how creative industries everywhere can approach the use of generative AI. The World Economic Forum (2023) calculates that as many as 26% of jobs in arts, design, and media can be automatized in the coming years, with potential implications for the viability of creative careers. More recently, the British Film Institute cautioned that AI businesses are practicing their machines on some 130,000 scripts without licenses, with implications for copyright, job security, and access to starter jobs for emerging professionals (The Guardian, 2025).

As I see it, this case shows that innovation in technology is not necessarily bad, but it does require strict ethical principles and regulatory mechanisms. I also think that AI can never completely replace humans, and that human creativity will always remain important in the artistic world. Without strict limitations, there is indeed a danger that creative work will be undervalued, not solely financially, but culturally. The WGA strike thus comes as much warning sign as roadmap: AI can be an instrument, only if its deployment is subject to principles of equity and respect for human authorship.

References

AP News. (2023, September 27). In Hollywood writers’ battle against AI, humans win (for now). AP News. https://apnews.com/article/hollywood-ai-strike-wga-artificial-intelligence-39ab72582c3a15f77510c9c30a45ffc8

The Guardian. (2023, October 1). How Hollywood writers triumphed over AI – and why it matters. The Guardian. https://www.theguardian.com/culture/2023/oct/01/hollywood-writers-strike-artificial-intelligence

The Guardian. (2025, June 9). AI ‘plundering’ scripts poses direct threat to UK screen sector, says BFI. The Guardian. https://www.theguardian.com/technology/2025/jun/09/ai-plundering-scripts-poses-direct-threat-to-uk-screen-sector-says-bfi

World Economic Forum. (2023, May 9). How might generative AI change creative jobs?. World Economic Forum. https://www.weforum.org/stories/2023/05/generative-ai-creative-jobs