🤖 Content Revolution 2025: Will AI become our best friend or our most annoying intern? Interview with Marco Gundlach

Hand on heart: if you're a content creator and haven't heard the word “AI” at least once in recent months, you're probably living under a rock. And one that ChatGPT hasn't found. 😅

But in 2025, AI is no longer a gimmick, but a real game changer that is turning our workflows upside down. You either use it to take off, or you get steamrolled by it. But how do you navigate this jungle of rapid speed, ethical questions and hundreds of tools?

We spoke with someone who has the full picture: Marco Gundlach, our AI and automation expert. In the interview, he tells us which three key challenges await creators, which tools really save time (up to 60%!), and why the best creators don't use AI the most, but the most humanly.

Get ready for the ultimate roadmap through the future of content – you'll be amazed at what is already possible today without code!

1. Marco, you are an expert in AI and automation. In your view, what are the biggest changes and challenges that content creators will have to face in 2025 through the use of AI?

2025 marks a real turning point for content creators. AI is no longer just a tool, but has become a firm part of daily work.

The biggest change is that AI is radically accelerating production cycles. Content that used to take days or weeks can now be created in hours or even minutes. That opens up enormous opportunities, but also challenges. Because anyone who relies only on speed runs the risk of losing depth, authenticity and brand identity.

I therefore see three key points:

1. Quality over quantity. Creators need to learn not just to turn AI into a content machine, but to understand it as a creative partner. That means curating AI results, refining them and giving them your own signature.

2. Process and tool competence. Many underestimate that AI doesn't automatically deliver good results. Those who understand workflows, prompting strategies and automations can hand off repetitive tasks and focus on strategy and creativity.
   
3. Ethics and transparency. Viewers and customers increasingly pay attention to how content is created. Honesty about AI use and the responsible handling of generated content will become decisive factors for trust and brand building.

I think the best creators in 2025 won't be the ones who use the most AI, but the ones who use it the most humanly.

2. Many of our readers are interested in practical applications. Which specific AI tools or technologies would you recommend to content creators to make their workflows more efficient, and what results can they realistically expect?

I believe that in 2025 it's no longer about finding the one perfect tool, but about integrating AI meaningfully into the entire workflow.

For content creators, four areas are especially crucial:
Video and audio with tools like Veed.io, Descript or HeyGen, to produce content faster and edit it automatically.
Text and strategy with ChatGPT or Claude, to develop scripts, headlines and entire content plans.
Design with Canva Magic Studio or Midjourney, to create visual content in your own style.
And automation with Make or Zapier, so that uploads, postings and reports run without manual work.

Those who combine these tools correctly save up to 60 percent of their time and gain room for what really matters: creative ideas and authentic exchange with the community.

3. The market for AI tools is developing rapidly. How do you stay up to date yourself, and which resources or strategies can you recommend to our readers for continuous learning?

That's a very good question, and it's actually one of the most important points when you work in the AI world, because there is no standing still here.

I stay up to date by taking a multi-track approach. On the one hand, I use platforms like X (Twitter), LinkedIn and specialized newsletters, for example Ben’s Bites, Future Tools or There’s an AI for That, to see new developments every day. On the other hand, I actively test new tools in my projects. I believe real experience only comes when you integrate and try things out yourself instead of just reading about them.

I also regularly exchange ideas with other experts. I'm active in various AI communities, as well as at online conferences and in mastermind groups. That helps to spot trends early and apply them to your own use case.

What I can recommend to everyone: build yourself a small learning routine. For example, 20 minutes a day in which you test a new tool, read a case study or watch a tutorial. And very important, which most people often forget: save good examples and workflows right away, so you can easily find them again later.

AI education is not a sprint, but an ongoing process. Those who keep at it understand more quickly which developments are really relevant and can use them in a targeted way for their own success.

4. In the course of AI automation, ethical questions and concerns often arise, for example regarding originality or copyright. How do you handle these topics in your trainings, and what advice do you have for content creators?

That is a really very important point, because the discussion about ethics and copyright in AI is only just beginning. In my trainings, I therefore place great emphasis on participants understanding that AI is a tool, not a replacement for creativity.

I convey that originality isn't lost when you use AI, but it shifts. Today, the creative value lies in how someone uses a tool, which ideas they combine and which perspective they bring. Those who merely copy AI lose authenticity. Those who use it deliberately gain expressiveness and efficiency.

On the topic of copyright, I work with clear guidelines: content from AI systems should always be checked, revised and given your own style. It's also important to know the terms of use of the respective tools, because they differ greatly; some allow commercial use, others allow it only to a very limited extent.

My most important advice to creators is: develop an awareness of what your contribution is. AI may inspire, but it should never replace responsibility. Transparency, your own signature and a respectful approach to intellectual property are crucial for building trust in the long term. In the long run, that strengthens trust among both the community and customers.

5. You've published the "OpenAI Agent Builder Made Easy" course with us. What special features or potential do you see in this tool for our users who may still be hesitant to try it?

For me, the OpenAI Agent Builder is one of the most exciting tools of recent months or even years, because it makes getting started with real AI automation easier than ever before. Many people still associate AI with complex programming or technical hurdles,  the Agent Builder shows that it's also very easy without code.

What's special is that with just a few clicks you can build your own intelligent assistant that understands tasks, processes data and makes decisions. Users can, for example, automate FAQs, answer support requests, generate content or even control entire work processes.

There is also great potential in integration. The Agent Builder can work with emails, documents or databases and fit into tools like Notion, Google Drive or Slack. This creates a kind of personal copilot that is available around the clock and can be trained exactly to your own needs.

I recommend that anyone who is unsure simply start small. Even a single use case, such as an automatic knowledge assistant for frequent customer questions, will quickly show how much time and energy you can save with it. And once you've experienced that, you realize that this technology is not a trend, but a real productivity booster.

6. Especially for smaller companies and solopreneurs, cost is often an issue. Are there recommendable free or low-cost AI tools that offer real added value even for beginners?

Definitely! Especially for smaller companies or solopreneurs, there are free or very low-cost AI tools that create real added value. Here is a small selection, some recommendations, and what you can realistically hope for:

Recommended tools

• ChatGPT (basic version): The classic for text generation, idea brainstorming and scripts. According to an overview, ChatGPT is among the tools with a free entry option. 
• Rytr: An AI writing assistant tool with a free starter account, aimed specifically at content creators. 
• Copy.ai: Offers many free features for text generation, for example for social posts, blog intros or descriptions. 
• Canva with AI features: For design and visual creation – also usable in the basic version, with affordable upgrade options. 
• Google Gemini: Google's multimodal AI system that can process text, image, audio and video content.

What can you realistically expect?

• Significant time savings on routine tasks (e.g. first drafts of texts, descriptive texts, social media posts)
• Creating visual content faster (e.g. thumbnails, graphics, simpler videos)
• Gaining creative impulses: generating ideas, trying out variants, having a sparring partner in tool format
• No instant miracles: the tools do not fully replace strategic thinking, brand voice or distribution
• Creating a good foundation: start with a small budget, measure results and then upgrade if necessary
  

7. In your opinion, what are the biggest misunderstandings or mistakes that beginners make when using AI in their content creation processes? And how can they avoid them?

Another very good question, because this is exactly where it usually becomes clear who really understands AI and who is just trying it out.

The biggest misunderstanding is the assumption that AI will "take over everything" from now on. Many believe they can simply enter a prompt and publish the result directly. But AI doesn't replace strategy, audience knowledge or a personal touch. It is a kind of amplifier; it makes the good even better, but it doesn't correct a lack of clarity or positioning.

A second common mistake is using too many tools at the same time. Many beginners jump from one app to the next instead of working deeply with a few tools. That leads to chaos and inconsistency. It's better to start with two or three reliable solutions and integrate them into your own workflow.

Another point is a lack of understanding of prompting. If you don't give clear instructions, you won't get clear results. Good prompts are like a briefing to an employee: the more precise and context-based the prompt, the better the result will be.

To avoid these mistakes, I recommend the following points:

1. Define the strategy first, then select the appropriate AI tools.

2. Fewer tools, but use them properly. Feel free to use my list, or alternatively educate yourself further.

3. Create your own prompt library to ensure quality and style. Here you could use notepad++ or Notion 

4. Never adopt results unchecked, but refine them editorially.

That way, AI doesn't become a shortcut, but a real quality booster, and you retain complete creative control at the same time.

8. The topic of AI and automation for content creators is very broad. Is there an area that fascinates you personally the most or in which you see the greatest growth potential for the near future?

I'm particularly fascinated by the area of intelligent automation, that is, the combination of AI with tools like Make, n8n or Zapier. An enormous amount is happening here right now, because it's no longer just about individual AI functions, but about entire systems that can think, prioritize and make decisions independently.

I see the greatest potential in the fact that content creators and companies will soon be able to build their own agent networks. Imagine you have several specialized AI agents: one writes texts, one analyzes performance data, another plans posts and responds to comments. These agents work together in the background and thus create a new level of efficiency.

What excites me about this is that AI thereby becomes not more impersonal, but more targeted and more creative. When repetitive tasks are automated, there is more room for strategy, creative ideas and the human aspect that ultimately makes the difference.

I believe that in the coming years, it is precisely this combination of creative intelligence and automation that will decide who remains visible in the digital space and stands out from the crowd.

9. In your course description you also mentioned "ChatGPT vs. Gemini". Could you briefly highlight the main differences and areas of application of the two models from your perspective for content creators?

Very good question, because this comparison in particular is exciting for many creators.

ChatGPT and Gemini are both very powerful AI models, but they have different strengths and areas of use.

ChatGPT is particularly strong in text comprehension, structuring and conversation. It is excellently suited for content creators who want to develop ideas, write scripts or explain complex topics in an easily understandable way. Its strength lies in phrasing things naturally and implementing different styles precisely. In addition, through plugins and automations, it offers many options for being integrated directly into workflows.

Google's Gemini takes a different path. It is multimodal, meaning it can handle text, images, code, audio and video at the same time. This makes it particularly well suited for content creators who combine different media, for example developing image ideas, planning YouTube videos or implementing visual campaigns. Gemini also benefits from direct integration into Google's ecosystem,  that is, tools like Docs, Drive, Gmail or YouTube Studio.

From my point of view, the biggest difference lies in the depth of specialization:

ChatGPT is ideal if you want to develop content in detail and perfect it linguistically.

Gemini is stronger when you bring together several media formats and integrate AI directly into existing Google processes.

Both systems complement each other excellently. In the future, many creators will no longer ask "ChatGPT or Gemini?", but will deliberately combine both to get the best out of language, image and automation.

10. Imagine a content creator starts using AI today. What one tip would you give them to be successful and avoid frustration?

My most important tip would be: start small, but be consistent.

Many creators want to automate everything immediately or test every AI tool, and quickly lose track in the process. But success doesn't come from quantity, but from clarity and routine. So find a specific use case, for example creating video scripts or planning social media posts, and build a simple, working workflow with AI for it.

When you feel how this process saves you time or delivers new ideas, the next step comes quite automatically. That way your competence grows organically and you avoid frustration because you see real progress.

AI is not a sprint, but a steady evolution. Those who patiently try things out, reflect and improve will build themselves a system over time that really works, and that is exactly what distinguishes successful creators from those who only test tools without integrating them into their daily work.

11. Since we're talking about new technologies and AI automation, I have one last question for you: Have you ever looked intensively into robotics in connection with AI? I'd be interested to know whether you could imagine acquiring a humanoid robot such as the Figure 03 at some point and integrating it into your workflows or content productions. If not, what are your concerns?

That is a really exciting question, because it shows where AI and automation will develop in the long term.

Yes, I have already looked into robotics in connection with AI more closely, mainly from the perspective of how physical automation can be combined with digital processes. Currently, humanoid robots like the Figure 03 are technologically impressive, but they are still at the beginning when it comes to everyday usability, price and integration capability.

Could I imagine using such a robot? Absolutely, if the benefit is right. For content creators or coaches, it would certainly be conceivable: a humanoid robot could take over camera setups, coordinate scenes or even interact in tutorials. Especially in the area of edutainment or show formats, I see great potential, because robots as physically present AI can create a new level of interaction.

My concerns lie less in the technology and more in the topics of data protection, ethics and acceptance. As soon as a robot is equipped with cameras, microphones and AI, it must be clearly regulated how data is processed and who retains control. I think clear legal and ethical guardrails are still needed here before they are really used productively.

In the long term, however, I believe that digital and physical AI will become more and more connected. And if you will, a humanoid robot like the Figure 03 is just the next logical step in a development that began long ago. From today's virtual assistants to a real team member made of metal and intelligence.

Also really exciting: Are you already using AI in the office? Why ChatGPT, Copilot & Co. are now becoming indispensable

By the way, Marco has already published these trainings with us: