Every new technology is both an opportunity and a threat. Those who adapt will make millions; those who don’t will go bankrupt. This age-old truth feels especially relevant to AI, because processes that once took decades now unfold over months. This is a time when you not only have to make the right decisions—you have to make them fast. At the same time, experience tells us that not everything that glitters is gold, and for every genius there are ten charlatans. Will my predictions prove accurate? I don’t know—we’ll see in ten years whether I’m a millionaire. But before that happens, I’d like to share a handful of data and a pinch of observations to help us understand a little better how this revolution—one with the potential to change the world—is unfolding.
Key takeaways
- Market explosion: The AI video generator market is estimated to reach USD 2,562.9 million by 2032.
- Widespread adoption: Nearly half of marketers (49%) already use AI-based video generation in their workflows.
- Global scale: The number of daily active users of generative AI worldwide is likely 115–180 million.
- Beyond automation: AI video generators act as creativity amplifiers, not replacements for human creativity.
- Accessibility revolution: Tools like Sora, RunwayML, and Synthesia are making professional video production available to everyone.
- Business integration: Companies are increasingly embedding AI video generation directly into business processes and marketing strategies.
TL;DR
AI-powered video generators are completely changing how content is created, enabling faster, cheaper, and more accessible professional-quality video production—regardless of company size. According to Art Smart AI, the market will grow from USD 534.4 million in 2024 to over USD 2,562.9 million by 2032. While challenges around quality and costs remain, the technology is maturing at breakneck speed and reshaping how we think about video creation.
What is an AI video generator, and why is it changing everything?
AI video generators are systems based on generative artificial intelligence that transform text, images, or video clips into full sequences of moving images. It’s like writing a script for an invisible production crew—rather than hiring actors, setting up cameras, and editing, you simply describe the idea in words, and the AI generates it.
The technology behind the “magic”
These tools are built on machine learning, computer vision, and text-to-video models. Neural networks learn from millions of frames how motion, light, and perspective interact. Diffusion models gradually turn “noisy” images into coherent video sequences. Large language models help interpret nuanced descriptions—so you can ask not just for “a cat on a couch,” but “a Siamese cat stretching on a velvet couch in warm sunlight.”
The current market landscape
The AI video generator industry is growing at a lightning pace. In 2024, its global value was estimated at USD 534–615 million, with projections of USD 2,562.9 million by 2032. North America holds about 40% of the market, but the Asia-Pacific region is growing the fastest, driven by tech-savvy users and the popularity of social platforms.
Growth is powered by:
- demand for personalized content,
- the dominance of short-form video (Instagram Reels, YouTube Shorts),
- the need to produce more content at lower cost.
How do AI video generators actually work?
The process starts with a prompt (a text instruction). The model analyzes the sentence for subject, mood, setting, and style.
- Text → Video: the model creates a sequence of frames from scratch, turning words into motion.
- Image → Video: a still image is animated (e.g., a brand mascot starts talking).
- Video → Video: the model enhances or transforms existing footage into a new, polished version.
Types of AI video generation
- Fully generative models (e.g., OpenAI Sora, RunwayML Gen-4) — create entirely new videos from text.
- Template-driven platforms (e.g., Synthesia, Invideo AI) — provide ready-made frameworks where users customize avatars, scripts, and design.
What can you create with AI video generators today?
Example: OpenAI Sora
Sora generated a one-minute Tokyo street scene—with cars, neon lights, and pedestrians. The level of detail showed impressive understanding of depth, motion, and lighting. If a client orders a one-minute Tokyo street scene—BINGO, the job is done. And here I want to touch on the biggest pain point of modern AI:
to generate an image, the client must precisely specify what they want to achieve. Theoretically, I could end this text right here, because the client NEVER knows exactly what they want. The common saying that “the customer is always right” has been put to scientific scrutiny. After closely analyzing customer behavior, a team of researchers concluded that the customer usually knows nothing—and still nitpicks.
So where do generators fall short of humans in faithfully capturing what we want to achieve?
Well, that’s changing—and six-fingered hands are now rare. Since the technology is advancing, let’s look at how to use it.
Example: Synthesia in corporate training
The fashion company BESTSELLER used Synthesia for a global training program in multiple languages. AI avatars delivered consistent information to employees worldwide, drastically reducing production time and translation costs.
Content categories that work best
AI video generators excel in:
- marketing — visually striking content boosts engagement,
- education — multilingual materials without the need for filming,
- social media — short clips that stand out in crowded feeds,
- product demos and animated explainers.
Who’s using AI video generators now?
- Marketers — nearly half (49%) already use these tools.
- Large enterprises — invest heavily in generative AI and account for a major share of revenue.
- Small businesses — rapidly catching up thanks to affordable subscriptions.
According to Technollama, the number of daily active users of generative AI is 115–180 million, mainly aged 18–34.
How much does it cost?
- Free tiers — limited (e.g., watermark, low resolution).
- Mid-tier (USD 10–50/month) — sufficient for small businesses and solo creators.
- Enterprise (from USD 100/month) — more integrations and features.
The benefit isn’t just money saved but time—projects that took weeks can now be completed in days or even hours. Hidden costs can include extra editing, storage needs, and training in prompt engineering.
Biggest limitations
Technical issues:
- unnatural character motion,
- avatars changing appearance between shots,
- difficulty with camera movement and audio sync.
Business issues:
- high costs of advanced tools,
- legal uncertainties around copyright,
- risk of misuse (e.g., deepfakes),
- the ongoing need for human oversight.
How to choose the right AI video generator?
Key criteria:
- quality and resolution,
- adherence to prompts,
- integration options (e.g., with editors, social platforms),
- price relative to production scale.
Platform types:
- Sora, RunwayML, Luma Dream Machine — freeform creativity,
- Synthesia, Invideo — business communication,
- Pika Labs — fast, viral-ready social clips,
- Canva AI — simple, low-cost for beginners.
What’s next for AI video generation?
Expert predictions
AI not only automates but augments the creative process. Expected developments include:
- real-time generation during online collaboration,
- integrated audio and narration built into platforms.
Emerging trends
- personalized company AI avatars to ensure brand consistency,
- synthetic influencers across social platforms,
- automatic integration with marketing systems.
Market evolution
- more jobs in AI-video by 2030,
- market consolidation by major tech companies,
- government regulation around copyright and ethics,
- convergence with VR/AR, creating fully immersive environments.
Should your company start using AI video generators now?
It depends on scale, goals, and risk tolerance.
Small startups can gain quickly and cheaply.
Large companies invest in consistency, localization, and integrations. It’s worth assessing team capabilities (prompt writing and editing) before fully rolling out.
Implementation best practices
- start with small pilot projects,
- combine AI + human oversight to maintain quality,
- implement quality control and ensure copyright compliance.
How to get started
I would start with Gleem.ai, mainly because the images generated there are produced on our servers, and I know how much work our team puts into achieving the best possible image quality. Then I’d bring such an image to life using image-to-video generators. And in time, perhaps Gleem will also offer video generation—we’re working on it.
And for fun, I’d choose the Gleem app on Android or iOS.