AI in Digital Storytelling – Good or Bad?
Short answer – “Good!”. But why?
There’ve been so many different ways in which stories have been told so far.
First, long blog posts. Then, short videos on social media. Now? Now, we have whole apps and websites built around experiences that don’t even feel like reading anymore. It’s like you’re living inside a story. People don’t want to be engaged the same way they were 10 years ago. Their expectations have changed pretty fast, and they’re higher than ever.
Think about it.
Today, you can build a product demo literally overnight, or you could have an onboarding guide talk back to you. And don’t worry, nobody is pushing humans aside; we’re not going anywhere. But the tools for telling stories are getting smarter and more flexible, so people who use them now have a new creative power.
So, what happens when you can instantly personalize and scale every story?
AI – the New ‘Human’ in Storytelling
Digital narration used to sound, well, digital. It didn’t feel human, and audiences had a hard time connecting with it, resulting in low engagement and high drop-out rates. Then came the first AI voices, which still sounded.. Not-human. After you’ve heard a few, you’d be able to recognize them easily. You weren’t able to tell what exactly, but something felt ‘off’.
Now, some AI models feel almost indistinguishable from a human narrator because they sound ‘human’. Intonation, prosody, timing, rhythm, perturbations, articulation, natural tilt, harmonic-to-noise-ratio, expressivity, natural fillers, breath control, etc. – all present, all human.
If you’re a creator or just someone with an idea, you can use a free AI video generator to create a full-fledged, professional-looking video. All that in a few minutes, plus without the high cost and production-related difficulties that come with traditional methods.
Before you’d need actors (good ones), cameras (expensive ones), lighting, honed skills, and superb editing to turn a video idea into a product.
AI isn’t just a little helper that suggests what to edit or speeds up a workflow. It’s become the base of how new stories are being made. Its algorithms can go through enormous amounts of data and create narratives that feel incredibly natural.
What’s more, it can also feel emotionally in tune with the audience.
Self-Shaping Storytelling
One of the biggest impacts of AI is its ability to shape the entire story around the person who’s experiencing it – each one in a unique way.
Before, you’d have to target a specific segment of an audience based on various demographic data points, but now you can have a flexible/variable product that interacts with each audience member based on THEIR interests and needs, all while the core story you’re trying to tell stays the same.
Another existing issue was that once you finished a product – that was it. What you’ve got, you had to work with. It wasn’t possible to make changes without redoing the whole process. Now, you can make changes on the fly as you see fit… in real time.
This way, from the fixed stories of ‘before’, we’ve now entered an era where we’re able to create stories that are alive – a bit scary, but equally impressive.
The sense users have of being part of the story is what makes AI storytelling so much more engaging and memorable.
AI Storytelling in Web/App Development
The thing that makes all this possible is technology, and if you’re in app or web development, you need to know what’s behind these AI stories.
Natural Language Processing (NLP)
NLP is what allows computers to ’understand’ and generate human language in a way that feels conversational. This is a must for storytelling because nobody wants to see a chatbot giving scripted answers. You want actual, meaningful dialogue and text that changes depending on user input.
For web and app developers, NLP makes it possible to design storylines that have dynamic responses and can turn a simple interface into an interactive experience.
This provides the users with the feeling as if they’re important to the telling of the story. As if they have a role in where the story will go, how it’ll shape next. And that wasn’t possible before.
Generative Visuals/Video
AI can now be used to create a whole tutorial, or even complex things such as a whole marketing campaign. And all that with a 1-man-1-AI team. Devs can plug visuals straight into websites or apps to illustrate ideas or make content more engaging.
As far as speed and cost-effectiveness go, that changes depending on how creative assets are produced and delivered.
Synthetic Voices and Audio
Voices used to be robotic and flat. Now, thanks to AI, that’s no longer the case.
With voice cloning and AI narration, developers can build apps and sites that ‘speak’ naturally and do… just about anything – offering guidance to immersive storytelling, it can do it all. And this is great because it can make those digital experiences much more inclusive thanks to multilingual support and narration. This greatly boosts accessibility depending on the user’s needs.
Basically, if you can give stories a voice that sounds human, you’re making interactions more personal and easier to follow. It only makes sense, and research supports it.
While there’ve been multiple research studies on this subject, an example would be ‘Reconsidering the voice effect when learning from a virtual human‘, published in the Computers & Education Journal. Early studies have shown that the human narration voice is preferred to a synthesized one.
The New Rules of Creativity
As great an opportunity as this is, you have to look at the other side of the coin because AI in storytelling raises some tricky questions
Can a story still feel original if machines are trained on the same kinds of data and keep producing similar results? What happens when bias in that data makes an impact on the story in ways we don’t notice?
And then there’s the big one – can AI actually replace human creativity, or does it just give people the tools to work with? Copyright makes everything even more confusing because, if something is made by a machine, who owns the result?
Well, those laws are still being discussed and developed because all of this is very new and rapidly evolving. Currently, most countries recognize 100% AI-generated content as content that cannot be copyrighted since no human input was given. Now this definition is still very ‘grey area’-ish, and it’s being refined. But if any human input/creativity is part of the AI-generated content’s creation, then you can still copyright it.
Conclusion
Why not give your story a second brain?
The tools are all there to make your life easier and your story more engaging. Keep in mind, though, AI can’t decide what makes us laugh or cry; that’s still completely on you. Use it as a tool and nothing more.
Storytelling has to be magical, and that can’t happen if you have a machine doing 100% of the work.
Let AI do the heavy lifting while you stick to your creative side.
Somewhere along the way she found herself doing freelance consulting for small businesses and home users, supporting both Linux and Windows users and integrating Linux and Windows on the LAN, primarily Linux servers and Windows clients. She is the author of the Linux Cookbook, Linux Networking Cookbook, and the Linux Cookbook 2nd Edition for O'Reilly, and has written hundreds of Linux howtos for various publications, .
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