For busy readers
- Several Super Bowl ads used generative AI for visuals, scripts, or full production
- Despite the hype, many failed to emotionally connect with viewers
- The moment exposed where AI still struggles most: taste, restraint, and human timing
The setup: why everyone expected AI to win the Super Bowl
The Super Bowl isn’t just a football game — it’s the most expensive creativity showcase on earth.
A 30-second spot now costs north of $7 million, before production. Brands come here to:
- flex cultural relevance
- tell stories people remember for years
- justify massive marketing budgets
So when AI tools became capable of generating:
- photorealistic visuals
- fast scripts
- entire video sequences
it felt inevitable that this would be the year AI took over Super Bowl advertising.
And technically?
It did.
Creatively?
Not quite.
What viewers actually felt watching AI-heavy ads
If you scroll through post-game reactions, the sentiment was surprisingly consistent:
“Cool visuals… but I don’t remember the brand.”
“Impressive tech, zero emotion.”
“Felt like a demo, not a story.”
The ads weren’t bad.
They were just… empty.
AI nailed:
- spectacle
- speed
- novelty
But it missed:
- emotional pacing
- cultural timing
- human awkwardness
- restraint
And restraint is where great ads are born.
Where AI ads showed up — and how they were used
Several brands leaned heavily on generative visuals — surreal environments, impossible camera moves, hyper-polished imagery.
The problem?
When everything looks extraordinary, nothing feels meaningful.
AI-assisted scripts
Some ads used AI for scripting or ideation — punchlines that technically worked, but felt generic.
The jokes landed… softly.
They were clever — but not human clever.
Fully AI-produced spots
A few brands went all in — AI visuals, AI narration, AI concepts.
These ads drew attention — but mostly for the technology, not the message.
That’s a problem in advertising.
The real issue: AI doesn’t understand “taste” yet
Creativity isn’t about generating options.
It’s about knowing:
- what not to say
- when to pause
- when silence works better than spectacle
- when a joke should feel risky
Humans develop taste through:
- cultural memory
- shared experiences
- embarrassment
- failure
AI has patterns — not lived context.
So when it writes or designs ads, it often:
- over-explains
- over-delivers
- over-performs
Great Super Bowl ads usually do the opposite.
Why past Super Bowl ads still work — and these didn’t
Think of iconic Super Bowl ads from the past.
They weren’t technically complex.
They were emotionally precise.
They relied on:
- timing
- cultural familiarity
- awkward pauses
- inside jokes
AI struggles with subtlety, because subtlety doesn’t scale.
This doesn’t mean AI failed — it means it was misused
Here’s the important distinction.
AI is brilliant at:
- lowering production costs
- accelerating ideation
- generating variants
- testing concepts
But it’s terrible as the final decision-maker.
The best ads this year weren’t anti-AI.
They were AI-assisted, human-led.
That’s the model that works.
What brands should actually learn from this
Use AI early, not last
Let AI explore ideas — but let humans decide which one feels right.
Let humans own tone
Tone is not data. It’s judgment.
Stop chasing spectacle
Audiences are desensitized. Emotional honesty cuts through more than visuals.
Remember the medium
The Super Bowl isn’t TikTok. It’s shared viewing. AI hasn’t learned that rhythm yet.
Will AI ads disappear next year?
No.
They’ll just get quieter.
Expect:
- AI doing background production
- humans writing final scripts
- fewer “look what AI can do” moments
- more “this just feels right” ads
That’s maturity — not retreat.
What this moment really revealed
The Super Bowl didn’t expose AI’s weakness.
It exposed our misunderstanding of creativity.
Creativity isn’t speed.
It isn’t scale.
It isn’t perfection.
It’s judgment under uncertainty.
And for now, that’s still human.
What This Means for the Future of AI Creativity
AI will absolutely reshape advertising — just not by replacing creatives.
The future looks like:
- AI as the engine
- humans as the editors
- taste as the real moat
The brands that understand this won’t just save money — they’ll make ads people actually remember.
