Introduction: What Is Happening With AI in Marketing?
But in 2025, marketers are no longer excited just because AI exists. Now they want AI tools that are useful, reliable, and easy to use in real marketing work.
This article explains—in very simple words—how AI image and video tools are performing today, what marketers like, what they don’t like, and where things are heading next.
Why Marketers Are Not Easily Impressed Anymore
The Excitement Has Faded
Earlier, AI tools surprised everyone. Now, marketers have used many tools and noticed problems such as:
- Images looking fake or too perfect
- Videos feeling strange or unnatural
- Characters changing faces between scenes
- Too many different results from the same prompt
Because of this, marketers now care more about quality and control than excitement.
What Marketers Really Want From AI Tools
1. Same Results Every Time (Consistency)
Marketers want AI to create:
- The same person looking the same in every image
- The same style in all ads
- Predictable results without surprises
Without consistency, branding becomes impossible.
2. Natural-Looking Images and Videos
Many AI images still look “artificial.” This happens because of:
- Smooth plastic skin
- Strange eyes or hands
- Perfect lighting that feels fake
Real-looking content builds trust. Fake-looking content breaks it.
3. Easy to Use With Other Tools
Marketers already use tools like:
- Ad platforms
- Design software
- Editing apps
If an AI tool does not work smoothly with these, it wastes time instead of saving it.
4. Safe for Business Use
Brands want to avoid legal trouble. So they ask:
- Is the AI trained legally?
- Can we safely use the images in ads?
- Will this cause copyright problems?
If the answer is unclear, marketers avoid that tool.
AI Image Tools: What Is Working Well?
Google’s AI Image Tools: Trusted and Reliable
Many marketers trust Google’s AI image tools because:
- Images look more realistic
- Faces and textures appear natural
- Results are more consistent
Another big advantage is that these tools work inside Google’s ecosystem, such as ads and work platforms.
This saves time and effort.
Where Image AI Still Needs Improvement
Even the best tools struggle with:
- Keeping the same character in many images
- Telling long visual stories
- Perfect brand matching
So image AI works best for ideas and drafts, not final designs.
AI Video Tools: The Fastest-Growing Area
Why Video AI Is So Important
Video is everywhere:
- Social media ads
- Brand promotions
- Product videos
Traditional video production costs a lot. AI video tools promise faster and cheaper creation—but quality matters.
Google’s Video AI: Balanced and Practical
Google’s video AI is popular because it performs well in many areas.
What Marketers Like
- Clear understanding of instructions
- Consistent characters
- Good camera movement
- Improved voice and sound features
It is useful for short ads, creative tests, and visual concepts.
What Still Needs Work
- Emotions still feel limited
- Final polish is missing
- Long stories are difficult
Marketers often edit AI videos before using them publicly.
OpenAI’s Video Tool: Beautiful but Not Perfect
OpenAI’s video AI creates videos that look cinematic.
Good Points
- Dramatic lighting
- Film-like scenes
- Strong visual mood
Problems Marketers Face
- Faces can look strange up close
- Skin can feel unnatural
- Hard to connect with other marketing tools
Some brands also worry about legal and copyright safety.
Midjourney: Popular but Risky for Business
Midjourney helped make AI art popular, but many marketers now avoid it.
Why?
- Results change too much
- Less control over details
- Unpredictable outcomes
For businesses, unpredictable tools are risky.
Legal Concerns
Because of ongoing legal questions, many agencies do not use Midjourney for client projects.
Why One AI Tool Is Not Enough
Marketers Use Many Tools Together
Most teams use:
- One AI for images
- Another for videos
- Another for editing
This makes work complicated.
The Big Problem: Tools Don’t Work Together Well
Because tools are separate, marketers face:
- File problems
- Repeated work
- Extra editing
Better integration is needed.
The Biggest Challenge: Consistency
Why Consistency Is Hard for AI
AI works by probability, not memory. This means:
- Small changes can create big differences
- Characters may slightly change
- Backgrounds may shift
For branding, this is a big issue.
What Marketers Want in the Future
- Locked characters
- Fixed styles
- Reliable long-term designs
The company that solves this will lead the market.
What AI Is Best Used For Today
Best Uses of AI Right Now
- Brainstorming ideas
- Creating sample visuals
- Testing ad concepts
- Speeding up early work
Where Humans Are Still Needed
- Final creative decisions
- Emotional storytelling
- Brand values and ethics
- Quality checking
AI helps—but humans lead.
What the Future Looks Like
Next Few Years
- More realistic visuals
- Better voice and sound
- Easier tool connections
Long-Term Vision
One day, marketers may:
- Create once
- Use everywhere
- Keep brand consistency
But we are not there yet.
Final Thoughts: AI Is a Helper, Not a Replacement
There is no single best AI tool. Each has strengths and weaknesses. Smart marketers:
- Know what AI can do
- Know what it cannot do
- Use AI wisely
The future belongs to people who work with AI, not those who expect AI to do everything.