2025’s top 10 generative AI advertising campaign examples

With AI advertising now firmly in the mainstream, brands can work smarter, experiment freely and produce creative assets once out of reach. But it takes more than just clicking “generate” to create a truly effective AI ad. The top AI ad creative examples of the past year set the pace for creative innovation today.
Enterprise brands can't use AI as a quiet behind-the-scenes tool anymore. It’s also no longer a novelty. Many top brands and design agencies now use AI to push the creative envelope and engage target audiences in exciting new ways.
AI has opened the door to bold new advertising strategies, as the AI ad creative examples in this article show. But the technology also introduces risks. Without proper human oversight, AI ad campaigns can easily fall flat and lead to lost audience trust.
But used intelligently and carefully, perhaps with the help of an AI-powered creative partner, AI can work magic for your brand. With the right know-how, the technology can deliver consistency, quality and scale at a fraction of the price you’d expect from traditional advertising agencies.
Time to raise your advertising game? This article showcases the AI ad campaigns that we'll remember for years or during our brainstorming sessions. From digital twins to augmented reality products, we break down why these AI ad case studies were a success, lessons learnt and how you can use artificial intelligence to transform your brand in the next 12 months.
What defines a strong AI advertising campaign?
The truth is, a remarkable AI campaign isn’t made with effortless, cookie-cutter outputs. Real innovation demands a careful blend of AI know-how, strategic direction and exceptional human creativity.
What has never disappeared, and I don't think it will, is the need for a good creative director or a good cinematographer. Someone who knows how to tell a story in an image sequence.

We used a set of carefully designed criteria to pick generative AI advertising examples for this article. The questions below can also help you assess whether your AI-powered campaigns are likely to get the results you seek.
1. Concept and strategy: Is the AI component meaningful or gimmicky?
Creative teams that delivered the best AI ad campaigns during the last year used AI to solve real creative challenges. They realized that it’s not about novelty or chasing trends.
AI can deliver hyper-personalization, rapid iteration of campaign assets across different markets and extraordinary content that can’t be achieved any other way. But these teams also recognized that AI should always serve the campaign goal first.
2. Technical execution: Are visuals, personalization and model integration of high quality?
Speed is a major benefit of AI, but quality work should be your first priority.
You’ll see from the strong AI marketing campaign examples listed in this article that campaigns are built on careful prompt engineering, thoughtful model selection and human-led creative iteration. Without these steps, you risk generic outputs and substandard campaigns.
3. Media and scale: Did it run across various channels or as a pilot?
A one-off pilot is a smart way to test new ideas or risky creative avenues. Successful campaigns, however, run across multiple channels with brand consistency and close adherence to design systems.
If you run omnichannel AI-powered campaigns, it’s critical to closely monitor quality. There’s no point running an ambitious campaign across social media, Google Ads and video platforms if your brand integrity unravels along the way.
4. Creative control and human oversight: Where did humans intervene?
At Superside, we firmly believe AI tools should amplify human creativity, not replace it. All the AI ad case studies chosen for this article have clear human intervention and direction behind them.
Today’s AI tools are highly sophisticated, but they’re not yet infallible when it comes to brand enforcement, creative direction, quality checks or high-level strategic decisions.
5. Results and impact: Impressions, engagement, conversion lift and earned buzz
Without the numbers to back it up, even the most creative and polished campaign falls flat in practice. It’s therefore critical to check how your AI campaign stacks up against benchmarks and the KPIs you’ve set.
Analyze customer engagement metrics, conversions, Customer Acquisition Cost (CAC), Return on Ad Spend (RoAS) and other relevant numbers. Smart AI campaigns often create media buzz that resonates far beyond paid channels, so other types of media monitoring could also be important.
5 benefits of using AI to create and scale your marketing campaigns
AI isn’t here to replace your creative team. It’s here to give them superpowers.
Generative AI tools like ChatGPT, Adobe Firefly and Runway are incredible tools that can help your marketing team scale ad campaigns quickly. Intentional, innovative use of AI in brand campaigns can reduce time spent on routine tasks and iterations, which makes it easier to identify what works best. This can give your team more time and energy to spend on concept development, strategic thinking and deep creative work.
But it can be hard to separate the real potential of AI from the LinkedIn hype and the AI slop that’s now seen across the web. If you’re not sure where to start, Superside’s No-Hype AI Report can give you some answers. You’ll find real examples from top brands that have used AI to create new workflows, scale up at speed and improve creative performance.
Let’s take a closer look at some of the top benefits AI can bring to your creative campaigns.
Improved efficiency and productivity
AI can automate repetitive tasks that drain your team’s time and energy. AI-powered campaign management can also help manage workflows, budgets and campaign optimization with minimal manual intervention.
For example, generative AI tools can help your team create first drafts for everything from email copy and social media posts to product descriptions and video scripts. Workflow automation, in turn, can be used to schedule emails, do A/B testing and distribute campaign assets.
Our creative teams use custom GPTs to improve efficiency and save more time for strategy and other creative activities where human work is essential.
Time saving and consistency are the main reasons to start using custom GPTs. For remote teams especially, having a GPT that knows the brand inside out helps everyone stay on the same page without slowing things down.

The result is less time spent on execution and more time spent on the strategic work that can’t be done without human creativity. Whether you’re after a few graphic ad assets or a fully integrated campaign, a good AI system can get your team over the line faster and with fewer iterations.
Enhanced personalization and customer experience
Imagine an advert tailored specifically for you, not just your gender, age group, location or general interests. Artificial intelligence can take your brand beyond basic segmentation to truly personalized experiences at scale.
Machine learning algorithms can analyze customer behavior, preferences and browsing patterns to deliver levels of personalization previously impossible.
This isn’t as creepy as it might sound: It’s similar to the processes Netflix and Spotify use to suggest your next binge-watch or playlist. Your data is safe. And consumers now expect this. McKinsey research shows that nowadays, 76% of customers feel frustrated by overly generic interactions with a brand.
AI-powered conversational tools can deliver personalized messages directly within the channels people already use, whether that’s Facebook Messenger, WhatsApp or on-site chat. AI systems don’t simply serve static, generic messages to everyone. They can tailor offers, product suggestions and follow-up sequences in real time based on each user’s responses.
Smarter, data-driven strategies
AI-powered predictive analytics can forecast trends and behaviors, not just from numerical data but also from online conversations. With natural language processing, AI can detect hidden patterns in social media chatter and overall sentiment to help you make proactive, data-driven decisions.
These insights can also help with resource allocation. AI-driven optimization tools can adjust campaigns in real time, allowing you to respond instantly to the creative performance of specific assets, audiences or channels. Some systems even enable dynamic pricing strategies that shift based on demand, competitor activity or inventory levels.
All of these capabilities ultimately translate into higher ROI and less wasted ad spend.
Greater scalability and competitive advantage
Don’t want or can’t afford to hire extra hands? With AI, you can scale your marketing efforts substantially without additional costs or resource-intensive recruitment processes.
Routine tasks like asset versioning, audience targeting, reporting and channel optimization can run in the background while your team focuses on strategy and creativity. This can help you reach new markets or launch more campaigns simultaneously, even with a leaner team. And because AI can analyze consumer data and predict trends in real time, you can always stay one step ahead of your competitors.
As your brand grows, it can be hard to maintain consistency. Although human oversight is still required, AI-powered tools can help you safeguard your brand voice, tone and visual identity across every channel. AI technology can also support more accurate, granular targeting on social media marketing platforms, as well as in search or across display ads.
Creative exploration and innovation
When time is tight and budgets are limited, wild experimentation and never-before-tried creative campaigns can feel risky. Gen AI can help your team quickly generate out-of-the-ordinary ideas and innovative strategic angles. Some of these ideas might miss the mark, but AI makes it easy to explore them without a heavy time or cost investment.
With the right tools, teams can simulate audience reactions, run small-scale A/B variations, predict performance based on historical data and create rapid prototypes of ad visuals and copy. This lets you validate concepts early, refine them fast and confidently move forward with ideas that are likely to get results.
Top AI advertising campaign examples of 2025
Ready to see what’s possible?
The AI advertising campaign examples below show how human ingenuity and AI efficiency can come together to create magic.
1. Superside team: “Superside it”
- Industry: Design services.
- Why it worked: We created our campaign assets with AI-powered workflows and demonstrated how quickly and efficiently AI and human creativity can work together.
- Campaign objectives: Brand awareness across various integrated channels.
- Channels used: Digital, OOH, email.
Our “Superside it” campaign went straight at a challenge every enterprise marketing team faces: Massive briefs, impossible deadlines and not enough hands to handle it all.
With bold visuals and sharp, on-brand copy, Superside shows they're the partner marketing and creative teams can turn to when they need to offload work and maintain quality. The message was clear and memorable: Just “Superside it.”
We launched the campaign across Instagram, LinkedIn, Facebook and other channels to showcase the reach, speed and scalability of Superside’s approach. Our team blended AI-powered visuals with expert human oversight to deliver a high-impact campaign fast, cost-effectively and with the creative polish enterprise teams expect.
Key aspects of the campaign
The campaign was clear about its target audience and their needs, and directly addressed marketing teams’ common pain points with relatable scenarios: “The brief? Massive. The deadline? Yesterday.”
This helped build an instant connection. At the same time, it also kept the mood light and accessible. The phrase “Superside it” immediately gave viewers a direct, simple call to action and a solution.
At Superside, we practice what we preach. We used AI in this campaign to create visual assets and accelerate production, under close oversight from our talented ad creative team. AI technology also helped to speed us up and keep costs in check.
We can do the same for you. Our AI-powered workflows cut standard design timelines by 40%, while our flexible creative approach saves our customers 30-50% in costs compared to hiring traditional agencies.
Why was it successful?
This AI-generated campaign masterfully tapped into an experience many overstretched creative teams share.
According to Superside’s Overcommitted report, 92% of creative teams saw creative demand rise in the previous year, yet 88% said they didn’t have the resources to keep up.
Our campaign message not only spoke to their challenges but also sent a crystal-clear message: You’re not alone, and there’s a simple solution.
Our deep audience research gave us a clear understanding of what creative teams need, which allowed us to craft a campaign that truly resonated. This insight was further bolstered by years of supporting enterprise brands like Forter and Palo Alto Networks in delivering fast, scalable and effective campaigns.
2. Johnson Controls x Superside: “Don’t Surprise Bob”
- Industry: HVAC production.
- Why it worked: The campaign transformed a traditionally dry B2B category with playful AI-assisted animation.
- Campaign objectives: Brand awareness and lead generation.
- Channels used: Video, social media, LinkedIn CTV.
When Johnson Controls, a world leader in smart buildings, first approached us, they wanted a photorealistic animated video to use as an anchor for a new campaign.
But traditional animation proved too slow and costly to refine, so Superside suggested an alternative solution: AI-assisted, puppetry-style animation.
The result, our endearing “Don’t Surprise Bob” video animation, quickly became a cornerstone of Johnson Controls’ brand storytelling. With a little help from Superside and AI, the brand found a unique way to tell its story. They also found a way to quickly scale their message across various formats and channels.
Key aspects of the campaign
Superside identified where AI-assisted production could deliver the same quality as traditional animation, at a fraction of the cost and time. Fast iteration allowed the team to test different ideas and narrative approaches while the budget and the deadline stayed firmly intact.
The Johnson Controls team loved “Don’t Surprise Bob” so much that it inspired several other videos in a similar style, like the one below. The puppet-style animation also brought personality and humor to a relatively dry B2B space.
Why was it successful?
AI handled the technical execution, while the creative process and strategy were guided by human professionals. The outcome was a piece that delivered exceptional creativity and compelling storytelling.
Plus, we didn ’t have to blow the budget to deliver the work. The campaign was delivered 85% faster than traditional methods and saved Johnson Controls over $47,000 in production costs.
This case study shows that the conversation around AI in video production should no longer be about whether to use it, but about where and how to use the tech to accelerate workflows, reduce costs and elevate creativity.
For more examples of how AI and human talent can work together to build high-impact campaigns, check out our No Hype AI Report. The report breaks down what works for other brands and what doesn’t, and shares advice on how your enterprise can also scale its creative output with AI.
3. Sailun Tire Americas x Superside: “AI-powered photoshoots at scale”
- Industry: Automotive and tire manufacturing.
- Why it worked: The campaign proved what’s possible when you take an idea from an AI concept to full custom model integration.
- Campaign objectives: Elevate brand photography, increase creative output, reduce production costs.
- Channels used: Brand visual assets, photography, product images, digital marketing, sales materials.
When tire manufacturer Sailun Tire Americas wanted its photography and visual assets to truly stand out in a crowded automotive market, it turned to Superside.
Until then, the brand’s campaigns relied heavily on stock photography and traditional design workflows, but its marketing team knew it was time for something new. They needed visuals that were more distinctive, more memorable and better at attracting new customers.
We knew AI could elevate their creative, but first had to show the team what a hybrid human–AI workflow could deliver. To convince them, our designers produced two sets of assets: One using stock imagery and one built with AI-generated visuals. We walked them through the full AI process, from precise prompts to thoughtful post-production refinement.
Sailun loved the AI-driven direction and committed to an AI-powered production workflow for future campaigns.
Key aspects of the campaign
Superside worked closely with the Sailun Tire Americas team to build up a bank of refined, representative images. Our team also trained a custom AI image model and, through repeat testing and fine-tuning, ensured every output aligned perfectly with their brand standards.
The final deliverable was more than just a set of images or a snippet of code. The Sailun team received a custom Figma plugin that could help them generate more on-brand pictures for future projects and campaigns. What’s more, the plugin could be integrated directly into the team’s existing Figma workflows.
Why was it successful?
We joined the Sailun Tire Americas in-house team on a creative and technical journey to achieve the best possible results without disrupting the systems and processes they already had in place.
Superside didn’t try to force a full AI transformation. We started with small-scale AI outputs to build confidence and trust in this new process. This showed the Sailum team that high-quality, brand-consistent results were 100% possible with AI enhancement.
The custom AI image model we developed became far more than a one-time asset drop. It empowered the Sailun team to generate fresh, distinctive visuals in-house. This gave them a competitive edge and the freedom to evolve their brand.
The impact also didn’t stop there. The shift away from traditional photoshoots and manual editing means Sailun now saves up to 75% of the time and 85% of the cost previously required to produce the same level of high-quality creative.
4. Kalshi: “NBA Finals AI spot”
- Industry: Sports betting and prediction markets.
- Why it worked: AI surreality is a feature, not a bug. The ad pushes the limits of traditional TV advertising with out-there images and unhinged storytelling, for prime-time placement during a major sports event.
- Campaign objectives: Brand awareness, customer engagement, viral buzz.
- Channels used: TV, digital and social.
In a first for AI-powered advertising, sports betting brand Kalshi commissioned an entirely AI-generated TV ad for the NBA Finals. According to ad creator PJ Accetturo, the brief was “to make the most unhinged NBA Finals commercial possible.” Well, they definitely delivered.
The result was a 30-second spot that featured a farmer who floated in an egg-filled blow-up pool, a beer-chugging alien at a basketball game and other bizarre scenes generated by careful creative prompting. The tagline, “The world’s gone mad,” showcased the wide range of surreal odds Kalshi users could bet on, from the price of eggs to the NBA Finals winners.
The surreal possibilities of AI were pushed to the limits as a key campaign feature. Within a short time, the creative team produced images that traditional shoots couldn’t capture without incurring massive costs or effort. In fact, the full spot was produced in just two days for $2,000, thanks to AI tools like Google Veo 3.
5. H&M: “AI Digital Twins”
(Source: H&M Group)
- Industry: Fashion retail.
- Why it worked: H&M took the plunge into creating digital twins. With this move, they set ethical guardrails and positioned the brand as an early adopter and leader in responsible AI adoption.
- Campaign objectives: Scale content production, reduce costs, maintain brand consistency and establish H&M as a leader in ethical AI production.
- Channels used: Social media, digital, display, print, OOH.
In July 2025, H&M launched its first campaign that featured a series of AI-generated “digital twins” of 30 human models. These digital replicas gave the brand the power to produce consistent, on-brand visuals at scale without the usual costs, travel logistics or scheduling challenges of traditional photo shoots.
To create the twins, H&M partnered directly with real-life models, who were paid for their likeness and retained full rights and control over how their digital counterparts were used. In practice, that meant a model could be seen on a runway in Milan while their digital twin “appeared” in an AI-generated shoot set deep in the Amazon jungle.
Besides the practical cost and time savings, the campaign opened up new conversations about AI ethics and risks. That said, the campaign has definitely created buzz about new creative possibilities for AI-powered marketing.
6. British Council: “Localized ad automation”
(Source: The Brief)
- Industry: Education and cultural relations.
- Why it worked: The campaign process showed how AI-powered design automation can streamline the complex process of international, multilingual campaign localization at a fraction of the usual time and cost.
- Campaign objectives: Scale global outreach, reach new European markets, maintain brand consistency across markets and reduce production costs.
- Channels used: Digital and social media.
The British Council’s marketing team faced a massive challenge: They had to localize their Global English educational campaign to reach seven European markets (Spanish, French, Georgian, Polish, Portuguese, Romanian and Ukrainian). Doing this effectively meant they had to produce more than 1,000 unique, culturally relevant assets.
Without automation, the team would have spent weeks on translation, localization and asset creation. As this wasn’t an option, they used the AI-powered automated design tool Creatopy to reach their campaign goal quickly. They fed 10 master templates into the tool, along with messaging from a range of localized data sources.
Thanks to smart AI integration, the campaign achieved a 70% reduction in marketing content costs. The team also completed the work in about half the time normally expected.
7. Coca-Cola: “Personalized marketing blitz”
- Industry: Fast-moving consumer goods (FMCG).
- Why it worked: The Coca-Cola campaign showcased the vast potential of AI for hyper-personalization. Through this campaign and others, Coca-Cola has established itself as a leader in AI-enhanced creativity.
- Campaign objectives: Enhanced customer engagement, improved brand loyalty and updated traditional seasonal campaigns.
- Channels used: Digital and social media.
Coca-Cola has widely adopted AI tech across its marketing, supply chain and customer engagement operations. It’s no surprise, then, that the brand’s 2025 holiday campaign ads leaned into AI marketing trends (despite much controversy).
In 2023, Coca-Cola’s “Create Real Magic” initiative invited artists to play with AI tools to reimagine the brand’s iconic advertising. They also used AI to generate a digital Santa Claus capable of having real-time conversations with users.
One of Coca-Cola’s most powerful AI strategies was its clever use of analytics to personalize ad content in real time. For its 2022 FIFA World Cup campaign in Saudi Arabia, it used Google’s AI-powered Ads Creative Studio to generate ads tailored to highly specific segments.
The campaign was kick-started with a base video that starred comedy creator Mohammed Shamsi. The brand then used AI to adapt the video into 32 personalized video ads in just a few days.
The customized ads were designed to reach, for example, home and garden enthusiasts and adventurous thrill-seekers. Real-time analytics matched the best-fit ad to online viewers.
8. KitKat: “Have AI Break”
- Industry: Fast-moving consumer goods (FMCG).
- Why it worked: The campaign involved clever self-referential AI use that poked fun at the limitations of the tech, and reinforced the brand’s legacy tagline.
- Campaign objectives: Brand awareness, Gen Z brand engagement, social media buzz.
- Channels used: Digital and social media.
KitKat’s “Have a break” tagline has been around for over 65 years. KitKat Australia saw an opportunity to revive its classic motto for a Gen Z audience and poke fun at some of the disastrous outputs of early gen AI.
The campaign included a series of images and videos made by prompting DALL-E 2 with AI-written scripts. These included gems like “Write a KitKat commercial the way Gen Z speaks.” The results were distorted visuals, clunky scripts and garbled text, with the tagline “AI made this ad so we could have a break” as the clincher.
The campaign used AI limitations for humor, designed to appeal to younger, tech-savvy audiences.
In a follow-up campaign, KitKat Canada told viewers that AI searches were more accurate when preceded by “Have a break, and then…” As a result, every ChatGPT query became a brand reinforcement moment.
9. Lidl: “Lidlize”
- Industry: Retail.
- Why it worked: Lidl used AI to democratize creativity and turn fans into co-creators. They achieved viral brand awareness, thanks to a sense of fun and humor.
- Campaign objectives: Brand awareness, customer engagement, user-generated content (UGC) creation.
- Channels used: Digital and social.
Lidl’s custom “Lidlize” AI-powered platform invited users to transform any object into a Lidl-branded item. Customers could type in any object and instantly see it rendered in the company’s distinctive red, blue and yellow brand style.
From sneakers to cybertrucks, sofas, handbags and more than a few NSFW (adult) items, the campaign created instant online buzz and social media hype. The result was over 2 million user-generated imaginary products and a major brand lift-off.
The site was so popular that it crashed twice in the first 72 hours and handled over 1,000 image requests per minute at peak popularity. The most popular product (a bicycle) was produced as a limited-edition Crivit Electric Bike.
10. Popeye’s “(w)Rrap Battle”
- Industry: Fast food.
- Why it worked: Popeye pivoted from PR challenge to brand win with a fast-turnaround, well-produced AI video response.
- Campaign objectives: Brand awareness, PR responsiveness, competitive positioning, social media buzz.
- Channels used: Digital, social media, audio and in-stream gaming.
Summer 2025 saw a high-profile showdown between fast-food giants McDonald’s and Popeyes.
Popeyes announced its new Chicken Wraps in June 2025, and McDonald’s revealed the return of its popular Snack Wraps shortly after. The back-to-back announcements sparked widespread comparisons and commentary.
Popeyes capitalized on the buzz with the release of an AI-driven rap/diss track video under the title “(w)Rap Battle.” A super-fast turnaround helped the brand frame itself as nimble, tech-savvy and culturally in tune at a moment when the McDonald’s product launch could have otherwise overshadowed its own.
This agility was key to the campaign’s success, and the brand turned a potential PR challenge into an opportunity for brand relevance and visibility.
Beyond experimentation: AI ad campaigns with Superside
AI advertising may have started as experimental, but those days are long gone. As these AI marketing campaign examples demonstrate, the technology has fundamentally shifted how brands create ad campaigns and interact with customers.
If you want to cut production time, save costs and stay ahead of your competitors, there’s no question: AI needs to form part of your creative toolkit.
That said, AI can’t work creative magic on its own. The best AI advertising campaigns are built on a combination of artificial intelligence and human creativity. That’s why you need a partner who understands creative nuance and technical execution to make your marketing campaigns fly.
Superside combines over 40 AI workflows with top-tier creative professionals to deliver unmatched speed, scale and quality. In fact, we’ve saved our customers over 100,000 hours and $3.5 million through AI-powered projects that maintain brand consistency and drive real results.
As we become your creative team’s creative team, our dedicated project management platform, Superspace, will keep collaboration on track, centralize all assets and help your enterprise to deliver knockout campaigns at scale with minimal friction.
If these are the wins you’re chasing, it’s time to Superside it.
FAQs
Emanuel is a Content Specialist at Superside. With the knowledge that three languages (and counting) and digital marketing can serve a creator, he has helped B2Bs from multiple industries to write, optimize and scale their content game with compelling pieces that answers questions and solve problems. On Superside, Emanuel streamlines content ideas into powerful articles that guides you on how to use Superside multi-powered services to scale your business to the max.
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