Artificial intelligence has long ceased to be just a topic for science fiction. It’s everywhere now — in our phones, voice assistants, recommendation algorithms. But AI’s presence is especially striking in entertainment. And it’s not just a trendy buzzword in press releases; it’s having a real impact — on content, creativity, and user experience.
Movies and TV shows: who’s really behind it — humans or machines?
What you watch on Netflix, Disney+, or Amazon Prime is increasingly guided not by editors but by algorithms. And these algorithms don’t just suggest — they predict what you’ll enjoy.
Back in 2016, Netflix reported that 80% of viewed content came from AI-generated recommendations. Today, that figure is even higher. These algorithms analyse which scenes you skip, where you hit pause, what you rewatch — building a psychological profile of the viewer.
“On average, 100 hours of an employee’s work time are freed up when a company implements generative AI.”
— Google and IW Consult on the benefits of AI in business
AI is also actively involved in screenwriting. Platforms like ScriptBook can predict whether a screenplay will be a box office hit. Neural networks already write plots, suggest dialogue, and even create characters based on given parameters.
Gaming: not just dumb bots — but real AI characters
AI in video games isn’t new, but it’s no longer about just dumb bots with guns. Modern systems like OpenAI Five in Dota 2 or AlphaStar in StarCraft II not only learn in real time but also surprise with strategies no human would think of.
AI also helps developers create open worlds with weather conditions, NPC reactions, and random events. Ubisoft is testing Ghostwriter — a neural network generating lines for secondary characters.
Online casinos and AI: beyond slots — big data at work
The world of online gambling is no longer limited to roulette, slots, and tiny-print bonuses. In recent years, the industry has been betting on AI — not for hype, but to genuinely improve player experience. From bet analysis to personalised promotions, AI works round the clock on this front.
On Casinova.org, a platform that lists only reliable online casinos, AI use is no longer exotic but standard. Before adding a casino to their recommendations, the team tests the platform from multiple angles: fairness, payouts, system behaviour under load, and support responsiveness. Often, algorithms catch things a human might miss.
Insiders at Casinova.org know the industry from the inside. Take Kevin Rendel, a true retired gambling addict (if that’s even possible) — he doesn’t just play for reviews, he tests bonus schemes, weighs RTP, and studies player behaviour patterns. As he puts it, “Sometimes I take out a loan just to see how much a casino will let me withdraw — and if it lets me at all.” Questionable method, but honest. Alexander Jovanović, who ironically hates the word “bet,” became an expert in bonuses and promotions. Complex marketing schemes are his thing, and he introduced Casinova.org’s “bonus fairness” metric, now calculated with AI.
Online Casino Reviews (Screenshot) | Image Source: casinova.org
“AI on the platform is used to rank casinos, detect suspicious schemes (like multi-accounting), verify review authenticity, and most importantly, generate personalised recommendations. It’s not just a filter like ‘I love slots’ — it’s a dynamic selection based on dozens of criteria,” says Kevin Rendel.
For the platform, it’s not just about presenting casinos nicely but warning about dangers — this is where the motto comes in: Casinova.org helps you avoid scams, which is especially relevant following the UK Gambling Commission’s warning that operators should actively monitor partners to prevent games from appearing on unlicensed sites.
Here’s how AI helps both casinos and players:
| Application | Examples |
| Responsible gaming | AI analyses player behaviour and flags deviations (up to temporary blocking). |
| Bonus selection | Personalised free spins and cashback based on betting history. |
| Fraud detection | Recognising multi-account schemes, limit evasion, and bots. |
| Live casinos | Deep Learning improves streaming quality, gesture recognition, and player emotion detection. |
In Germany and Austria, major operators (including Tipico and Novoline) increasingly implement AI in responsible gaming, and this trend is only growing.
Note! AI doesn’t kill the thrill — it makes it safer, more personal, and a little smarter. Especially when there’s a team behind it that knows where the boundaries lie.
Music: neural networks with rhythm
AI can already compose music — and it does so quite decently. OpenAI Jukebox, Aiva, Amper Music — all these projects create tracks based on genre, mood, tempo, and even specific artists.
Today, AI composers are used in ads, mobile games, and YouTube background music — anywhere you need lots of music quickly and cheaply. The listener is unlikely to tell the difference if the track plays in the background.
Deepfakes and virtual characters: the next level of “entertainment”
AI can recreate faces, voices, and behaviours of people. Deepfake tech is used not just in questionable content but also in movies, shows, and advertising. For example, James Dean was “brought back to life” for a film, and in South Korea, news anchors are already being replaced by virtual copies.
Virtual influencers like Lil Miquela have millions of followers, with their actions and “personalities” controlled by teams of marketers and scriptwriters.
TikTok and YouTube content: editing, voiceovers, scripts
AI tools already help bloggers and editors generate ideas, write scripts, and edit videos. Platforms like Descript or Runway can automatically cut footage, remove “umms,” re-record voiceovers — all without a sound engineer.
TikTok content is often optimised by neural networks: creators analyse metadata, hashtags, and visual patterns to get into trends.
Art and animation: can machines draw better?
DALL•E, Midjourney, Stable Diffusion — these AI artists can generate artwork on any topic in seconds. Their images are used for album covers, YouTube thumbnails, book and magazine illustrations.
Some studios are already experimenting with creating entire animated films using neural networks. The results may be rough for now, but the pace of development is impressive.
Where else will AI show up?
- Interactive shows. Netflix is testing concepts where viewers influence the plot and AI adapts the storyline in real time.
- Immersive quests and VR. AI characters with “memory” and reactive behaviour toward players.
- Retro films with AI processing. Restoration, upscaling, and colour correction of old movies.
What’s next?
AI isn’t a replacement for creativity but a tool for it. It doesn’t invent ideas but can speed them up, develop them, and adapt them. In entertainment, it’s becoming that “black box” where magic is born — but now with a machine involved.
One of the biggest challenges is ethics: how to label AI-generated content, where the line between inspiration and forgery lies, and how to protect creators’ work. While technology races ahead, these questions are only beginning to be discussed.
