In 2025, generative AI features for digital content creation are transforming how brands approach marketing. For years, businesses in the region have struggled with common pain points, including creating consistent content across multiple platforms, producing localized campaigns that resonate with both Arabic- and English-speaking audiences, and keeping pace with the growing demand for video and social-first formats.
In fact, regional studies highlight that the businesses and markets are witnessing one of the fastest growth rates in digital adoption globally, with businesses leading the way in AI-driven marketing experiments. This means brands can no longer afford to rely solely on traditional production models, but they need scalable, AI-powered tools to keep up with consumer demand.
At ShortVids, we’ve already seen how innovative content formats drive impact. Our insights on the power of short-form video marketing prove that audience engagement thrives on speed, creativity, and relevance. Generative AI builds on this momentum, enabling companies to create diverse, high-performing digital assets that resonate with both local and global audiences.
Why Generative AI Features Matter for the Digital Content Creation

For many brands, keeping up with today’s content demands isn’t easy. Many teams find it hard to create content that is consistent, localized, and culturally relevant. Generative AI can help businesses produce content faster without losing quality.
This means marketers can quickly make multilingual captions, adjust scripts for local audiences, and design ads that feel authentic to specific regions. Instead of taking days to revise content, agencies and startups can get it done in hours while connecting with their audience in a meaningful way.
These tools not only save time but also create new opportunities. A podcast can be broken down into small posts for social media. This blend of speed and flexibility makes many businesses rethink their content strategies. If you’d like to see common hurdles and how to solve them, check out our guide on content creation challenges and solutions.
Key Generative AI Features You Can Use
Generative AI is best thought of as a creative partner. It can make things, whether that’s a piece of writing, a picture, a short tune, or even a 3D object. It’s like giving machines a spark of imagination. Let’s walk through the practical applications of generative AI features.

Content Creation
Text
Most people first come across generative AI through text. You give it a prompt, and it can spin up a blog draft, a story, a catchy email line, or even a snippet of code. Developers love it because it can also help debug or speed up repetitive programming tasks.
Images
AI can create realistic photos or playful illustrations from just a strong prompt. Tools like DALL·E and MidJourney have demonstrated how quickly an idea can be transformed into an image. The results can be surprisingly creative, whether it’s a concept sketch or a polished digital art.
Music and Audio
Artificial Intelligence can help you create awesome soundtracks for your videos and cool sound effects for your games! With the right guidance, it can even mimic different instruments or singing styles. It’s like having your own personal music assistant!
Video
AI can now build videos from text prompts or animate images. Brands are using this to create short marketing clips, while educators experiment with virtual avatars to explain lessons.
3D Models
For industries such as gaming or product design, AI can assist in building 3D models. You can sketch a rough idea of a chair, and Artificial Intelligence will turn it into a realistic design that could actually be built.
Interaction and Augmentation
Chatbots
Chatbots can respond in ways that feel natural, almost like chatting with a real person using generative AI. You can use them everywhere, from customer support to personal digital assistants on your websites.
Summarization and Q&A
AI helps you to sum up a 50-page report for you. It can quickly draft highlights or answer direct questions to save time.
Language Translation
Generative AI has translated more fluidly and contextually. It can help you translate text, audio, or even video into all kinds of languages and accents, all while keeping the meaning just right!
Code Assistance
AI can act as a coding partner. It can generate scripts, spot bugs, and even suggest security improvements. It helps cut down repetitive tasks and boosts productivity.
Underlying Technologies and Principles
Learning from Data
Generative AI learns by spotting patterns in massive datasets, text, images, and audio, and then applying that knowledge to create something new.
Foundation Models
Foundation models are large, flexible AI systems trained on diverse data, which enables them to handle multiple tasks, from writing summaries to creating art.
Prompt Engineering
The way you “ask” the AI matters. Prompt engineering is about crafting the right input to get the output you’re aiming for – whether that’s a story, an image, or a block of code.
Mimicking Human Creativity
Perhaps the most fascinating part is how generative AI mimics human creativity. It doesn’t just copy, but it also reimagines patterns from its training data to create something original, coherent, and often surprisingly creative.
What 2025 AI Generative Features Trends are Growing?
Digital momentum is shifting fast as brands double down on creativity and precision. According to Think with Google, marketers across the globe are already utilizing AI, connected TV (CTV), and smarter measurement models, such as marketing mix modeling, to gain real-time insights and measure impact better than ever.

MenaBloom notes a growing interest in authentic video storytelling, mobile-first commerce, and personalization, particularly among Gen Z audiences.
Here’s how different industries are responding to these shifts.
Industry | Top Generative AI Feature Used | Real-World Impact in MENA |
---|---|---|
Retail | Personalized product recommendations + imagery | Boosted online conversions via tailored visuals and offers |
Real Estate | AI avatar-led virtual tours & localized presentations | Made property showcases more engaging and culturally relevant |
E-commerce | Dynamic ad scripts and real-time customer targeting | Improved ROI through relevant, tested content in Arabic and English |
According to these trends, brands that use generative AI features are setting the pace.
Choosing the Right Generative AI Features – What Matters
Not all generative AI tools are the same. To choose the right one, consider how it will help your business and fit into the digital market. Here are some important factors to think about before you invest.
- Seamless Workflow Integration – Contents connects directly with enterprise content pipelines, making it easier for teams to generate, review, and publish without breaking existing processes. This reduces the friction that often accompanies the adoption of new tools.
- Brand Consistency at Scale – Instead of delivering one-size-fits-all copy, Contents allows companies to define their unique tone and guidelines. The platform then applies those rules across every output, ensuring that brand identity is preserved even at high volumes.
- Accuracy and Reliability – By combining generative AI features with advanced validation layers, Contents minimizes the risk of inaccuracies and “hallucinations.” For businesses in regulated sectors, this level of control is critical.
- Governance & Oversight – AI must work in conjunction with human editors to prevent inaccuracies, misinformation, or tone mismatches.
At ShortVids, our content management solutions are designed with these criteria in mind, helping businesses and creators deploy AI while staying on-brand, compliant, and efficient.
The Current Landscape – Progress and Pain Points
Generative AI is already embedded in the way many businesses across the digital world operate. From speeding up production cycles to offering creative shortcuts, the technology has made real progress. At the same time, when companies try to apply it across larger teams and enterprise workflows, the cracks begin to show.
- Workflow Integration – While AI can generate drafts quickly, it doesn’t always plug smoothly into enterprise processes that involve multiple checkpoints, compliance reviews, and cross-team collaboration. Instead of saving time, this often adds friction.
- Brand Authenticity – Companies with strong brand identities know how important it is to keep tone and style consistent. Most generative tools aren’t yet tuned deeply enough to match brand nuance, which can result in copy that feels off or too generic.
- Accuracy Risks – Businesses also face the problem of “AI hallucinations,” where tools confidently produce content that is misleading or flat-out wrong.
Generative AI features bring speed and scale, but they’re not a complete solution on their own. Success depends on pairing them with human oversight, strong governance, and the cultural awareness needed to make content resonate in the region.
How Content is Addressing Enterprise Needs
While many generative AI platforms stop at simply producing text, Contents has built its features with enterprise-scale challenges in mind. The goal is to ensure that every piece of content is accurate, consistent, and aligned with the brand voice that companies have worked hard to establish.
- Seamless Workflow Integration – Contents connects directly with enterprise content pipelines, making it easier for teams to generate, review, and publish without breaking existing processes. This reduces the friction that often accompanies the adoption of new tools.
- Brand Consistency at Scale – Instead of delivering one-size-fits-all copy, Contents allows companies to define their unique tone and guidelines. The platform then applies those rules across every output, ensuring that brand identity is preserved even at high volumes.
- Accuracy and Reliability – By combining generative AI features with advanced validation layers, Contents minimizes the risk of inaccuracies and “hallucinations.” For businesses in regulated sectors, this level of control is critical.
In short, content isn’t just adding AI into the mix – it’s reshaping how enterprises create, manage, and trust their content. Aligning technology with real operational needs gives companies the confidence to scale without sacrificing quality.
Investment Opportunity – Generative AI Features
Generative AI is evolving from a trend into a significant opportunity for businesses across various industries. In 2024, global venture capital investment in gen AI startups reached $56 billion, almost double the previous year.

According to Holistic, this technology could add as much as $4.4 trillion annually to the global economy. That’s a clear signal – companies that embrace generative AI are tapping into one of the fastest-growing shifts in technology.
So, what does this mean in practice? Let’s take a look at how industries are already benefiting:
- Fintech – Banks and financial institutions are using AI for fraud detection, predictive analytics, and faster loan processing. McKinsey estimates generative AI could unlock $340 billion in additional value for the sector by boosting productivity and improving customer experience.
- Healthcare – From personalized treatment plans to faster drug discovery, AI is transforming how doctors and researchers work. Mayo Clinic’s AI models can detect hidden heart conditions early, making care more proactive.
- Logistics – FedEx is using AI robots to improve loading efficiency, reduce wasted space and fuel, and lower emissions.
- E-commerce – Amazon’s recommendation engine, powered by AI, drives up to 35% of its sales by suggesting products tailored to each shopper’s preferences.
- Travel & Hospitality – Marriott has rolled out an AI-powered concierge that acts like a 24/7 local guide, helping travelers get personalized recommendations.
These are just a few highlights, but the message is simple – generative AI is about opening doors to new ways of creating value. For businesses, that means now is the time to explore how these features can fit into your strategy.
Real-World Use Case
ShortVids isn’t just about one part of the video process – it’s about covering everything from scripting to AI avatars, so you can focus on what matters most – growing your brand or business.
Take Gene Slade, for example. He’s a sales and coaching expert whose team was producing about 50 videos a month before they teamed up with ShortVids. Once they switched, he began getting up to 150 Generative AI and other videos in different formats every month without sacrificing quality or personality. The consistent production not only kept his brand visible but also supercharged his lead generation and client engagement. You can read more about how Gene achieved this growth in our agency plan case study.
This is exactly the kind of flexible support ShortVids provides, with attractive price plans that balance creativity with efficiency, all backed by features like voice scripting, video editing, AI avatars, and platform-specific output.
Final Tips to Get Started
The easiest way to make generative AI work for your team is to avoid overcomplicating it. Start small. Take a quick look at your current content, what’s missing, where the bottlenecks are, and which platforms really matter to your audience.
From there, choose one feature to test, whether it’s automated video captions, script support, or repurposing clips for social media. Run that pilot for a few weeks and keep an eye on results, such as engagement or watch time.
Think of it less as flipping a switch and more as layering new tools into what’s already working.
Final Words
FAQs
Generative AI features are tools that help create text, visuals, and even video automatically. Think of it as having an assistant that drafts, designs, or repurposes content so your team can focus on strategy and creative direction instead of repetitive tasks.
Yes, many AI platforms now support Arabic alongside English and other languages. For businesses in the MENA region, this means you can reach audiences more effectively with localized campaigns that feel relevant and authentic.
From ad banners to social media posts, AI-generated visuals can quickly provide campaign-ready designs. You can test multiple versions, adapt formats for different platforms, and keep your branding consistent without long design cycles.
Absolutely. Most AI tools now come with flexible plans, making them accessible for startups and growing businesses. SMEs can compete with larger brands by producing more content without incurring ballooning costs.
The key is human oversight. Start by feeding the AI your brand guidelines, preferred tone, and examples. Then review and refine the outputs. At ShortVids, we combine AI tools with editorial checks so the final result feels on-brand and trustworthy.
Not really. AI is great at speeding things up, but the best results still come when humans bring strategy, emotion, and cultural nuance into the mix. It works best as a partner, not a replacement.
Book a Call Today
- Fixed monthly plans starting at $999
- 24-hour turnaround time (or less) on all short-form edits
- 3-layer quality check system on every video
- No more chasing freelancers or managing editors
- Scale up to 50+ videos/month without hiring in-house
- Content team trained on platform trends, scroll-stopping hooks & storytelling
- Fully managed by professionals – you just upload & approve
- Response time: Under 1 hour (US & GCC time zones)
Cut your production costs, not your standards.