Generative AI: destroyer of humans or a useful sidekick?

2

October

2025

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Since the hype around ChatGPT and LLMs I’ve tried a lot of different tools. From the basics (ChatGPT, Claude, Perplexity, Copilot, Gemini and DeepSeek) to more specific tools (Sora, Veo, Lovable, Base44, Replit and Bolt). Beyond tools alone, I’ve also used Make.com and n8n to build AI agents. Lastly, I encountered a tool that generated music with a simple prompt, very interesting.

In the past few years, I have discovered the AI landscape on my own and via online reviews. Not only did I discover and many try tools, I now use them regularly. Not only for personal use, but also for work. Let me first state that I am impressed with the speed at which Ai is moving. New models and new tools pop up weekly, it’s hard to keep up. After about 2 years of weekly use, I I think I have a sense of how AI can currently support humans.

For me personally, tools such as ChatGPT and Claude really help with brainstorming and extracting data from large reports. These tools can also help with easy programming tasks and statistics. This saves a tremendous amount of time. Of course, everything with caution. You always need to check for hallucinations. But besides some hallucinations, these are some real use cases that I use daily. Another good use case is document translation, which I use for work. Of course, the translations aren’t 100% correct, but it can be a good draft and useful for internal use.

Some people think AI is going to replace humans, but I don’t think this will happen soon. Of course, AI agents can automate a lot of tasks and chatbots can replace low-level support employees, but I don’t think AI will render humans useless. For simple tasks like creating summaries or transcripts, AI really is useful. See it as an entry-level employee or intern. You have to give it well-defined tasks, and only then the outcome will be good. In more advanced tasks where decision-making is needed, humans seem better equipped.

To conclude, I think AI currently is a useful sidekick to save time and improve efficiency. When used correctly, it can genuinely leverage human skills. But for me personally, I don’t see AI replacing human jobs completely. We all know why. Chatbots are annoying and still stupid, AI-generated images feel off most of the time and videos feel to perfect.

Image generated with ChatGPT 5.

Generative AI: destroyer of humans or a useful sidekick?

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How the development of AGI will dramatically influence the labour markets

11

September

2025

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This article was inspired by Roman Yampolskiy and the podcast The Diary of a CEO (Bartlett, 2025).

AI is already a major disruptor, not only for business but for all aspects of life. Since the first model of ChatGPT was publicly available, the usage of this tool has increased from an estimated 100 million monthly users in January 2023 (Hu, 2023) to an estimated 700 million weekly users by August 2025 (CNBC, 2025). This immense growth has me thinking about the future growth of LLMs (large language models), AI and its influence on the labour markets.

Artificial general intelligence (AGI) is a – still hypothetical – intelligent system that has the ability to understand and learn any task a human can perform (Google Cloud, n.d.). If you are already impressed by the capabilities of current AI, just imagine what self-correcting, self-learning intelligent machines (AGIs) can do. Once developed, these systems could theoretically be used to do any task a human currently can do (and likely do it even better). Recently, computer science professor Roman Yampolskiy predicted that AGI could be developed as early as 2030 (Shibu, 2025).

Current AI models can already automate a lot of routine work. Think about the growing number of customer-service chatbots you encounter. The current use of AI is already reducing demand for entry-level administrative and support roles.

Professor Roman Yampolskiy has argued that wide implementation of AGI could cause 99% of all workers to be unemployed (Shibu, 2025). But do we need to worry? Perhaps, but adoption speed matters. The sheer existence of a technology doesn’t directly mean its complete implementation. Remember, it took years for the internet to completely reshape the world. This should give policymakers time to establish clear boundaries while allowing workers to educate themselves. Ultimately, how we act today will determine whether AGI becomes a threat to humankind or a tool to help us thrive.

References (APA 7th)

Author: Olaf Huiting 623593oh

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