In a world where everything can be personalized and optimized, there’s only one true differentiator left: ideas. (Adobe Stock)
AI will undoubtedly shrink the marketing services industry. Or so that’s the opinion of industry paper Ad Age via author Barry Lowenthal in a recent piece a few weeks back. Thought it worthwhile to share again especially to those of you who may not have seen it yet.
Many of the functions agencies are paid for today—targeting, media planning, asset versioning — are already being handled faster and cheaper by machines.
Yet the most successful agencies in 2030 won’t be those with the biggest AI budgets; they’ll be the ones still capable of original thought.
Since the explosion of generative AI, holding companies have raced to future-proof themselves, pouring hundreds of millions of dollars into the technology. They’ve hired engineers, signed vendor deals and built proprietary tools. The logic is that automation improves margins by enabling more work to be produced with less overhead, and it’s attractive to clients.
But here’s the problem: Everyone is doing the same thing.
AI platforms might look different, but they’re powered by the same foundation—similar models, trained on similar data, offering similar outputs.
AI is a great equalizer. While early investment and enterprise deals offer short-term advantages, the tools are ultimately accessible to all. As technology becomes commodified, there’s only one true differentiator left: ideas.
In a world where everything can be personalized and optimized—where every ad element, from celebrity to color palette to music cue, is engineered for conversion—what cuts through is the unexpected.
Zany, emotional, human ideas. The kinds that make people laugh out loud, tear up or text a friend because it hit a nerve. The kind no algorithm can predict because they come from life experience, not data.
Those ideas aren’t born from prompts or dashboards, but from humans living messy, interesting lives—wandering museums, walking unfamiliar streets, swapping stories at a dive bar.
The agencies that stay relevant in an AI era will be the ones that protect this kind of cultural immersion. They’ll hire for life experience, not just technical literacy. They’ll measure inspiration like they do performance, instead of grinding their teams into creative exhaustion. They’ll reward originality over speed and efficiency.
If the goal is to survive the next five years, curiosity and creative instinct must be treated as core competencies.
That means rethinking workflows to allow time for discovery, not just delivery. It means protecting those unproductive long walks and deep rabbit holes.
The payoff won’t always show up neatly in a dashboard, so it will be a challenging pitch to the CFO. But in a world where AI devours everything else agencies in once thought made them valuable, it’s the only bet worth making.
That’s the future. And no, you can’t buy it; you have to nurture it.
********
I agree with Mr. Lowenthal, original thought leading to creatively inspired ideas will and must lead the way. I’ve been involved in this business for several decades and I realize that the industry has turned into a young person’s game. Most have grown up with AI and consider it the “standard.” That is unfortunate. It still must be considered a tool in the work belt of the creative person who’s developing the idea. It can’t be used as the end-all. That is unless sameness is one’s idea of creative thought.
Hopefully making a ruckus, one blog post at a time!
Be sure to check out my other blog, Joe’s Journey, for selected short stories and personal insights on life and its detours.
The advertising industry has seen beaucoup changes over the past few years. One recent change that is sweeping the ad scene is Artificial Intelligence or AI for short. We’re still grappling with it.
Man and AI robot waiting for a job interview: AI vs human competition Credit: Adobe Stock
With this in mind, I came across an article written by the Op-Ed Contributor of MediaPost, Manjiry Tamhane, who sheds a fairly comprehensive take on AI and how best to understand it and cope with it to enhance our creativity and, in turn, our marketing and advertising. It’s a bit of a long read but worth it.
Writes Manjiry . . .
The marketing landscape is undergoing a seismic shift. The rise of artificial intelligence (AI) is not just transforming how brands engage with consumers—it’s revolutionising how we measure, optimise, and ultimately prove the value of creativity itself. For marketers eager to demonstrate the tangible impact of their creative work on sales, AI-powered measurement techniques offer an unprecedented opportunity.
This is an exciting, future-focused moment for our industry. Creativity has always been at the heart of effective marketing, but now, thanks to AI, we can finally unlock its full commercial potential with scientific precision.
Why Creative Effectiveness Is More Important Than Ever
In a world where consumers are bombarded by thousands of messages every day, creativity is what cuts through the noise. It shapes perceptions, drives engagement, and builds lasting brand equity. However while media optimisation—deciding where and when to place messages—has long been a focus, it’s increasingly clear that creative quality is just as critical. In fact, research from the Institute of Practitioners in Advertising (IPA) suggests that up to 49% of a campaign’s sales uplift can be attributed to creativity.
Yet, for years, measuring the true impact of creative ideas and executions has been notoriously difficult. Marketers have often relied on intuition, anecdotal evidence, or basic metrics such as impressions and click-through rates. While tools like ad recall surveys, focus groups, and creative awards offer some insight, these methods frequently fall short of capturing the full contribution of creativity to business outcomes. Traditional measures tend to overlook how creative quality drives emotional engagement, brand equity, and importantly, sales impact.
Enter AI. With the advent of advanced data analytics and machine learning, we now have the tools to decode what makes creative work effective—and, crucially, to link it directly to sales performance.
The Evolution of AI in Marketing: From Data Mining to Generative Models
To appreciate the transformative power of AI, it’s worth reflecting on how far we’ve come. In the 1990s, AI in marketing was largely limited to rule-based systems—useful for direct marketing, credit scoring, and basic customer segmentation. The 2000s saw the rise of machine learning and web analytics, enabling marketers to understand online behaviour in new ways.
The 2010s ushered in the era of deep learning and personalisation. AI could now analyse unstructured data—images, text, even video—at scale, powering everything from chatbots to personalised recommendations. Fast forward to today, and generative AI models like ChatGPT, Gemini, and Llama are producing compelling copy, visuals, and even video content tailored to specific audiences and platforms.
What’s changed most dramatically is speed and scale. Since 2010, the cost of computing power has plummeted, while the volume of global data has exploded. This abundance of data fuels ever more sophisticated AI systems, capable of processing information and generating insights in real time. While AI has enabled marketers to analyse vast datasets and uncover patterns, we are now entering an era defined by ‘agentic AI’—artificial intelligence systems that can act with autonomy and initiative. These AI agents are capable of proactively managing tasks, making decisions, and optimising campaigns in real time.
For marketers, this means moving beyond hindsight (what happened) and insight (why it happened), to true foresight—predicting what will work best before campaigns even launch.
Cracking the Code: How AI Measures Creative Effectiveness
So, how does AI help us truly understand the effectiveness of creative work?
The answer lies in the ability to analyse vast numbers of creative assets—across multiple channels, formats, and iterations—and extract the features that drive results. With agentic AI, intelligent agents can autonomously evaluate creative assets, identify high-performing elements, and recommend improvements, freeing up human teams to focus on strategy and ideation.
Here’s how next-generation AI-led techniques are transforming creative measurement:
1. Feature Importance
Machine learning models can automatically score each creative feature—be it a visual element, tone of voice, messaging, or format—against key business outcomes such as sales or brand lift. By connecting creative features to end-market measurement, marketers can pinpoint which elements have the greatest impact, and which may be holding back performance.
2. Feature Testing
With thousands of creative variations running across different channels, it’s impossible for humans to keep track of what works best. AI analyses past campaigns to identify which combinations of features consistently perform well. AI agents can continuously test and learn from past campaigns, autonomously adjusting parameters to find optimal combinations. This enables teams to establish rules and guidelines for future creative development, ensuring that each execution is built for success.
3. Predictive Modelling
Perhaps most excitingly, AI allows marketers to simulate and predict the likely performance of creative assets before they go live. If a particular advert underperformed, predictive modelling can reveal which features—if added or emphasised—would have boosted its impact. This empowers creative teams to experiment boldly, iterate rapidly, and optimise campaigns with confidence.
4. Content Recommendations
Advanced AI models don’t just diagnose problems—they prescribe solutions. By analysing patterns across successful campaigns, AI can recommend specific changes to creative content, such as introducing the brand name earlier in a video or adjusting the call-to-action for greater clarity. Crucially, these recommendations respect brand guidelines and ensure consistency across all touchpoints.
5. Visualising the Brand Space
AI can also map out the “creative execution space” for a brand and its competitors, revealing who owns which creative territories and where there may be opportunities for differentiation. For example, analysis of fast-food advertising in the US has shown how one brand’s creative approach began to encroach on another’s distinctive territory—insights that would be nearly impossible to glean manually.
AI Across the Funnel: Precision at Every Stage
While AI is transforming creative measurement, it’s important to remember that the fundamentals of marketing remain unchanged. At its core, marketing is about guiding customers through a journey—from awareness and consideration to conversion, retention, and advocacy.
What’s changed is how AI enables us to execute each stage with unprecedented precision and agility:
Top of Funnel: AI analyses massive datasets to segment audiences and optimise ad placements, maximising reach and impressions.
Mid-Funnel: Personalisation engines ensure that potential customers see content tailored to their needs, while predictive analytics anticipate what information or incentives will move them closer to purchase.
Bottom of Funnel: AI streamlines the conversion process, optimising landing pages, personalising calls-to-action, and automating follow-ups.
Post-Conversion: AI-driven customer service tools provide instant support, while predictive models trigger retention strategies and suggest complementary products.
At every stage, AI helps marketers model key performance indicators (KPIs), attribute value accurately, and optimise investments for maximum growth. Crucially, it is creative that acts as the catalyst, moving consumers seamlessly through the funnel—from capturing attention at the awareness stage, to sparking interest and consideration, driving action at conversion, and fostering loyalty post-purchase. By harnessing AI to measure and refine creative effectiveness at each touchpoint, brands can ensure their messaging not only reaches the right audience but also resonates powerfully, guiding consumers along the journey and maximising the impact of every marketing investment.
Taking Action: How to Embrace the Future of Creative Measurement
To harness the full potential of AI-led creative effectiveness measurement, brands should consider the following actions:
Adopt a Data-Driven Mindset: Invest in AI-powered tools and talent to move from intuition to evidence-based creative strategies. Make data central to every decision.
Foster Experimentation: Encourage rapid testing and learning, using AI to simulate and refine creative concepts before launch. Create a culture where experimentation is celebrated and failure is seen as a step towards improvement.
Align Creativity with Business Goals: Use AI insights to ensure every creative decision is linked to measurable sales impact, not just aesthetic appeal or awards.
Assess Organisational Readiness: Evaluate your organisation’s data, technology, and people to ensure you’re equipped for sustainable, AI-driven growth. Tools like the Marketing Impact Readiness Assessment (MIRA) can help benchmark your capabilities.
Prioritise Privacy and Ethics: As you embrace AI, ensure robust governance and transparency around data usage. Build trust with customers by being clear about how their data informs creative targeting and measurement.
A Bold New Era for Creative Effectiveness
AI isn’t just reshaping creative development—it’s redefining how we measure, optimise, and prove the value of creativity. However, the true power of this new era lies in the collaboration between human ingenuity and AI-driven insight. While AI brings speed, scale, and analytical precision, it is human creativity, intuition, and strategic thinking that inspire ideas, craft compelling narratives, and connect emotionally with audiences.
Credit: Adobe Stock
Brands that embrace these future-focused techniques—harnessing the best of both human talent and artificial intelligence—will lead the way, delivering campaigns that don’t just look great, but drive real business results. The future of creative effectiveness is bright, bold, and powered by a partnership between imagination and intelligence.
Now is the time to combine your team’s creative vision with the transformative capabilities of AI, creating marketing that inspires, engages, and delivers measurable growth.
Are you ready to seize the opportunity? The next chapter of creative effectiveness starts now—with humans and AI working together.
What form that will take, who knows. One thing’s for sure; it’s the next stop on Creativity’s journey to persuasive excellence.
Hopefully making a ruckus, one blog post at a time!
Be sure to check out my other blog, Joe’s Journey, for selected short stories and personal insights on life and its detours.
How do you think AI will impact creativity in the ad industry – positively and negatively – in the near future? This is the question put forth to a panel of nine industry gurus, moderated by one Carol Cooper of Shots, in a recent article. There’s been so much written already about AI that I felt it appropriate and timely to share this panel discussion since it relates to creativity and advertising.
Johnny Vulkan, Founding Partner, Anomaly
The first photograph was allegedly taken in 1826 but it wasn’t until just shy of 100 years later that an American gallery deemed photography worthy of inclusion in their collection. After all, what artistic skill does it require to create a mechanical and chemical replication of reality?
We’re now, hopefully, more enlightened about photography and the still; moving and digitally manipulated form has become a central part of our industry. And now we have a new tool, AI.
Whilst it can be crude, nascent, often clumsily disappointing and inaccurate, we’re already seeing exquisitely crafted images and concepts brought to life. Some of these outputs would’ve taken weeks to achieve using more conventional methods, and maybe only the finest of today’s craftspeople would be able to even come close. Now, like so much software before it, seemingly impossible ideas can take seconds to render, and that democratizing of creation is exciting and terrifying in equal measure.
Jobs will be lost. New jobs will be created, but it’s clear that the best insurance anyone can have would be to experiment, learn and play.
AI is not without problems and it’s natural for us all to experience some discomfort as ‘bad actors’ have the same access to tools as people with less malicious intent, but this genie will not be going back in the bottle. We can probably predict a few years of highly litigious legal jeopardy as all industries struggle to define new rules and concepts in intellectual property and rights but this will only slow rather than reverse the direction of travel.
It won’t take 100 years for AI creativity to appear in gallery collections, in fact it’s already controversially helping to win awards and competitions. But it’s still ultimately a tool. One that any one of us can wield and learn to master. What a great chance for us all to learn.
Above: Anomaly founder Johnny Vulkan, made by AI with Lensa.
Johnny Budden, Executive Creative Director at AKQA
As with any new technology, you could choose to limit human advancement or take people to the moon. When cars were invented we didn’t change our previous methods of transportation – we still walked, cycled and moved around as before. We simply had access to technology that improved our method of getting around.
There are countless possibilities of using AI to add creativity to our work – not replace it. And we are now harnessing those possibilities to advance civilization. For example, HeyPi.com is a compassionate AI that cares about your needs. GoFundMe used AI animation to bring donation stories to life.
The power of machine learning created a match between Serena Williams and her past self, from her first Grand Slam at the 1999 US Open versus her most recent at the 2017 Australian Open. We are going to the moon, everyday.
The advantages of AI means that our boutique team is expanded now into a team of a million. We are still driven by the same imagination and passion as before, only now with access to an infinite resource of information to help us achieve the future faster.
Recently we have been hearing a great deal about Artificial Intelligence (AI) and its impact on society. Last week this blog posted some of that information and this week shares with you a followup of sorts. Below is part of an interview with two professors from UCLA, Jacob Foster and Danny Snelson, and their take on AI’s influence on us. Thanks to Jonathan Riggs for spearheading the effort.
One of the Writers Guild of America’s demands in its current strike is for studios to regulate the use of artificial intelligence for creating, writing and rewriting TV and movie scripts and other material.
That might have sounded like a far-fetched concern just a few years ago. But with increasingly sophisticated, easily accessed AI tools already making inroads in other creative fields — literary magazines and fine arts competitions have lately had to contend with a glut of AI-generated submissions — there is a very real concern that expensive, time-intensive human creative labor could soon be outsourced to machines.
“We in the humanities have long thought about these kinds of questions, especially at the experimental limits of what constitutes creativity,” said Danny Snelson, a UCLA assistant professor of English and a writer, editor and archivist. “Lately I’ve been thinking about this artwork by Robert Rauschenberg from 1961 in which he sent a one-line telegram: ‘This Is a Portrait of Iris Clert if I Say So.’ It’s a perfect rejoinder to where some of the debates about creativity and AI are right now.”
Jacob Foster is a UCLA associate professor of sociology, computational social scientist and co-director of the Diverse Intelligences Summer Institute, which unites scholars to explore cognition in all forms. He also has pondered the revolution that appears to be unfolding.
“Something terrible and amazing is about to happen, but no one has a full idea what these systems are capable of — or an entirely clear picture of how they do the things that they do,” he said.
In a joint interview, Foster and Snelson spoke about how chatbots could be used in teaching, offered historic analogs for the current AI explosion and opined about whether technology is actually capable of creativity. Answers have been edited slightly for length and clarity.
Are you excited or concerned about where AI is headed — or both?
Jacob Foster: I’m excited, given my broad interest in how complex wholes become smarter than their parts. I agree with the school of thought that says AI creates opportunities to get at a more fundamental understanding of — and clarity about — things like intelligence and creativity.
Danny Snelson David Esquivel/UCLA
Danny Snelson: I’m tremendously excited watching these developments unfold, but in a physiological sense — an excited state of fight or flight. Things are moving faster than we can understand them. These developments change things in ways that matter. The effects of algorithmic bias are real and the harms of technological development are never equally distributed.
Foster: To that point, I recently asked ChatGPT to write short plays about the nature of creativity. Until I explicitly told it that the expert on creativity had to be a woman, it always came up with a story about a singular male genius interacting with a female muse or with a female petitioner seeking his advice.
When you read the technical report for GPT, they have worked very hard to tamp down on problematic responses — for example, using reinforcement learning with human feedback — but even this neutral prompt resulted in a gender-biased response. AI is a mirror of the things we’ve written and the stories we’ve told, and that becomes a much bigger deal when it’s potentially determining who gets jobs or certain insurance rates.
I’m helping to organize a program at our Institute for Pure and Applied Mathematics on the mathematics of intelligences, and trying to develop the theoretical foundations of AI is obviously a big motivation. I don’t think we have the resources within social theory to think about the possible rearrangements of society that such technologies could enable. We don’t know how to deal with social change that’s happening so quickly and pervasively.
Is AI capable of creativity?
Foster: We often reserve the notion of creativity for the capacity to generate interesting, novel things. But the contrarian part of me wants to argue when people say, “Large language models aren’t creative; they’re just putting things together.” Humans do that, too — look at many of the papers produced by students or academics!
Snelson: These systems reveal just how formally consistent most writing is. The more generic the formats that these predictive models simulate, the more successful they are. These developments push us to recognize the normative functions of our forms and potentially transform them.
Jacob Foster David Esquivel/UCLA
Foster: I think of the short film “Sunspring,” directed by my friend Oscar Sharp, which came out in 2016 and was the first movie written by AI. The script itself is only borderline coherent — this was a much earlier iteration of the technology — but it becomes something much more elevated when interpreted by the human actors, director and viewers.
Snelson: William S. Burroughs would cut up different texts and smash them together to produce a kind of surrealist energy. And he said this beautiful thing, which is that by using this cut-up method, you’re cutting into the present for the future to leak out. Right now, we have an opportunity to think about these new forms of fluid, coherent, algorithmic writing and how we might cut into them to see what they might reveal.
Can ChatGPT actually be an asset in teaching at the university level?
Snelson: In my Intro to Comics course, my students collectively wrote a full book in the first week, before they knew anything about the subject, using ChatGPT. I think it’s useful for them to experiment with the essay, and then for the rest of the course we instead use comics formats to produce new knowledge about comics.
We want our students to use modes of critical thinking to navigate the world around them, which now includes these AI tools. Experimenting and playing with them will prepare students, hopefully, to think critically in a technological environment that’s always changing and shifting.
Foster: That’s a very helpful tonic for the prejudice that the essay is a necessary gym to build the skills we want students to have. It’s of a type with my faintly ludicrous “old person” attitude that me learning how to use card catalogs made me uniquely capable to deal with the internet age.
Snelson: Right now, for example, there’s a moral panic in academe about essays. Having taught the fundamentals of argumentation, evidence and rhetoric for over a decade, I can tell you essay writing is not a mysterious formula. The essay has stood strong for a while now; it has limitations that other modes — some of which are still to be invented — may yet be better at when it comes to inspiring students to develop the kind of critical thought needed to address generative algorithms.
Foster and Snelson chatting in the UCLA Court of Sciences David Esquivel/UCLA
How will we look back on this moment in time?
Snelson: If the history of major technological inventions is any indicator — I’m thinking here of the printing press and the internet — we’ll look back at this time as a moment of confusion and flux with a huge amount of widespread misunderstanding, and, hopefully, with unexpected avenues toward a better future.
It makes me think of this great anecdote by Rudy Rucker, who helped invent the genre of cyberpunk fiction in the 1980s. At some point, he woke up with this universal computing device in his hand that could access all of human knowledge while still living in the extreme disparities of contemporary America and he realized that a cyberpunk future was already well underway.
Foster: In some sense, this is a generalization and acceleration of the experience humans have always had negotiating a world of vast forces far beyond themselves.
As folks like the computer scientist Danny Hillis and mathematician Norbert Wiener have remarked, we’ve been dealing with artificial intelligence for centuries, in the form of corporations and bureaucracies that take human beings as their parts and turn them into vast, impersonal collective machines. Will we be able to tame or resist these new machines? I hope so.
On a side note: The Houston Area Apple Users Group will meet on May 20, 2023, with the main meeting topic being AI Chatbots. We will be comparing Google Bard, Microsoft Bing, and OpenAI ChatGPT. This meeting will be held via Zoom.
Artificial Intelligence or AI should have creative people concerned for their jobs, right? Umm, not so fast or at least not yet. Alex Collmer, CEO and Founder of VidMob believes that, without humans, AI could not be creatively effective. But, by embracing AI, humans’ creativity could increase. Thanks to Alex’s input, we explore this topic in this post.
When attending a recent tech conference, an investor expressed the opinion that, in five years’ time, all creative jobs will have vanished. Seriously!?
They predicted that advances in AI and machine learning would lead to the invention of tools that could do creative jobs better than any human. This is not a limited viewpoint. In fact, it’s increasingly prevalent throughout the advertising industry and beyond, according to Mr Collmer.
In December 2022, The Atlantic’s Derek Thompson wrote an article entitled Your Creativity Won’t Save Your Job From AI; arguing that with AI already capable of certain cognitive tasks, there was potential that, in the near future, it could “master the art of generating high-quality advertising concepts”.
It’s an interesting perspective, but there is an equally engaging counterargument — that AI and creativity are not fundamentally at odds and, in fact, AI can actually enhance human creativity. However, that statement should have a caveat with a word or two of warning.
While AI itself isn’t what marketers and creators need to fear, it’s other companies employing staff with the ability to leverage AI-generated data and use it cleverly that they should be worried about. Brands who fail to embrace the technology should be looking over their shoulders, as businesses that do leverage AI will achieve stand-out content and establish their competitive advantage. Hmmmm.
Responding to increasing content consumption
In an age where we spend more and more of our time looking at a screen, ourdigital content consumption has risen dramatically, especially when it comes to video. It’s little wonder, given the growing number of devices and platforms we have to choose from, and with each platform having its own creative nuances, marketers are under pressure to create more content to meet this demand.
AI can be extremely helpful to under-pressure marketers tasked to create an increasing amount of content. But it is a misguided belief that algorithms can be deployed to simply solve all challenges faced by brands looking to scale their content production. When considering the ultimate goal of marketing success, volume should not be judged as the pinnacle. Rather, creative effectiveness is what matters and brands should be aiming to foster genuine, unique emotional connections with audiences — and AI can’t do this on its own.
While AI can accurately measure the impact of multiple creative elements in a video ad — emotions portrayed by a model, the audio accompanying imagery, the logo placement, and so on — it’s not until humans analyze this data that meaningful strategic insights are derived to help fully understand audience reactions and the context around them. Once a deeper level of understanding is established, these insights can help optimize current campaign creative for success and assist with efficient planning. Without a human eye, the data itself carries limited value.
Augmenting creative with AI
Before AI-driven creative data, the production conversation has been primarily a conversation about building faster and cheaper creative. Sigh! The first step towards scaling meaningful creative content must be to understand it.
Once marketers grasp which creative elements work well and why, and on which platforms, they can ramp up their content production while continuing to make the appropriate adjustments for each unique audience in every channel where they will be met. Every frame of an ad contains a myriad of creative decisions. AI-powered tools have the capacity to capture all of these data points in real-time – not just of a single ad, or whole campaign, but from all of the video content a brand has ever created. And while marketers may have a reasonable understanding of which of their ads worked and to what extent, AI provides an answer to the million-dollar question: Why? Good point.
By tracking all the behavioral signals from audience reaction to each creative element, AI collates the data that marketers require to build learning models to fully inform and enhance their future creative decisions.
Why AI needs creatives
The AI-powered creative platforms used in the business world all require an element of human input. When applied to marketing, human intervention can help ensure brand safety when using AI. For example, AI was used to draw insights from a luxury cruise liner’s campaign which revealed that under-30s responded positively to waterfalls, horses and beards.
If we assume all creativity is going to be replaced by AI systems, we could simply input all of this data into a generative AI tool and expect it to produce an effective ad. However, based on data alone, the output could end up ticking all the boxes – waterfalls, horses and beards on paper; however, in reality, the ad wouldn’t make sense. Bottom line, the outputs are only going to be as good as the prompts that an educated human can provide.
Combining a human perspective and the context in mind, it enables the analyst to understand that the cruise line is viewed by under-30s as a mode of transportation to explore the world. They are more interested in getting off the boat. Waterfalls and horseback riding are merely examples of adventures that can be experienced when they are off the ship. When this strategic insight was applied to the campaign, the resultant creative was able to nearly triple the creative effectiveness. Insights are valuable to creative teams producing new ads, but without human interpretation the data alone fails to achieve this strategic impact and often leads to little sustainable performance improvement.
According to Collmer, AI tools open up a host of creative teaching to marketers and brands who have the ability and expertise to use the data. These teams will still need to maintain control of design oversight and ensure findings are considered in context with AI capabilities guiding their decisions. Where AI really shines and supports the human team beyond their own capacity is in efficiently generating a higher volume and variety of content to meet audience needs and platform requirements. The time saved by AI solutions affords creators space to indulge their creativity further and apply their expertise in different ways.
Fears that AI is here to replace creators are ill-founded: the real threat posed by AI is to those who fail to embrace a human and AI partnership. Rather than reducing the creative roles available to humans, brands that embrace data and technology will require an expertly-trained workforce to interpret findings and apply insights creatively, eliminating guesswork and optimizing creative content.
As a result, the next generation of marketers will evolve alongside AI capabilities and will require data analytics skills to enable a new level of creative efficiency based on data-driven decisions. Brands that embrace this new reality will find that they have a significant competitive advantage over those that continue operating the same way they have been for decades.
Thanks to Mr. Collmer for his AI insights and its influence on creativity. In my view AI is a tool, a tool that can enhance our creative efforts, not replace them. From a creative’s perspective, it’s always nice to have extra tools in one’s creative toolkit.
Hopefully making a ruckus, one blog post at a time!
Be sure to check out my other blog, Joe’s Journey, for personal insights on life and its detours.
And, check out creative selections from my website.
Well, Data, as all Trekkers know, was an Android, not a robot. It was a very sensitive distinction in his day. Yet, one can’t help but wonder what one non-human form of life would think of another non-human form of life creating advertising in the manner humans do.
While humorous, I can just picture Klaatu instructing Gort about a forthcoming ad for NASA’s Artemis IV mission to Jupiter. (Note: Those of you not having a clue as to what I am referring, Google “Day the Earth Stood Still” especially the 1951 version)
Gort
Recently, I read where a reporter from the Wall Street Journal did an article on the role of AI (Artificial Intelligence) writing and redoing advertising. Interesting, I thought, so I made it the focus of this week’s blog post about another aspect of creativity in the early 21st. Century. My thanks to both The Journal and Patrick Coffee for lending credence to this post.
In late 2021, as states eased pandemic restrictions and consumers began flying again, travel search company Kayak needed a message that would help it stand out against bigger rivals.
Most travel ads focused on “the family reunion space, soft piano music, the get-together on the beach,” said Matthew Clarke, vice president of North American marketing for the Booking Holdings Inc. company. Kayak took a different approach with the “Kayak Deniers” campaign, which went live in January and poked fun at the rise of online conspiracy theories. In one ad, an angry mother insists to her family that Kayak isn’t real, screaming, “Open your eyes!”
Inspiration for the ads came from an unlikely source: artificial intelligence.
Kayak worked with New York advertising agency Supernatural Development LLC, whose internal AI platform combines marketers’ answers to questions about their business with consumer data drawn from social media and market research to suggest campaign strategies, then automatically generates ideas for advertising copy and other marketing materials.
Supernatural’s AI found that Kayak should target its campaign largely toward young, upper-income men, who it said would respond to humor about Americans’ inability to agree on basic facts in politics and pop culture, said Michael Barrett, co-founder and chief strategy officer at Supernatural.
“That gave us a good amount of license to zig where the category was zagging and to be more relevant, more provocative,” Mr. Clarke said of the AI findings.
The campaign has been one of Kayak’s most successful to date in driving brand favorability, Mr. Clarke said.
Marketers have primarily used AI in a creative capacity in services like creative automation, which tests thousands of slight variations on elements such as ad copy and color schemes to determine which combinations will best attract consumers’ attention.
But AI is expected to change marketing practices drastically in coming years thanks to new tools like OpenAI Inc.’s automated language generator GPT-3, which allows algorithms to better understand different languages and produce original text content, said Tom Davenport, distinguished professor of information technology and management at Babson College in Wellesley, Mass., who co-wrote a 2019 paper on the subject.
Unilever PLC’s Dollar Shave Club recently began working with AI firm Addition Technologies Inc., whose platform can analyze millions of social-media posts, to help identify themes for use in marketing products that range from razors to wet wipes.
“It’s like having a machine hive mind that you can just keep asking questions because it has completely consumed all comments on the subject,” said Matt Orser, vice president and head of creative at Dollar Shave Club.
Addition also worked with ad agency Droga5 LLC to create an interactive ad campaign for the New York Times that turns headlines from each subscriber’s reading history into a visual “portrait” of that person. Some headlines were too long to fit within the portraits’ design, so Addition programmed its platform to rewrite them in fewer than 50 characters, said a Times spokesman.
AI’s primary benefit for marketers is its ability to quickly complete projects, such as brand strategy briefs, that would take humans days or weeks, giving staffers more time to focus on other work, said Supernatural Chief Creative Officer Paul Caiozzo.
When Signal Messenger LLC, maker of encrypted messaging app Signal, wanted to plan its first major marketing campaign in 2021, it turned to AI marketing consulting firm DumDum LLC.
DumDum invites marketers to discuss their most pressing challenges in brief “thinkathon” sessions, then runs those ideas through an AI platform that matches them with potential solutions based on a growing pool of behavioral data and consumer surveys conducted by DumDum to provide CMOs with outside perspectives.
DumDum presented Signal with several options, and executives chose one that focused on the fact that Signal, unlike many other digital platforms, doesn’t collect user data. They bought several Instagram ads designed to highlight how its parent, Meta Platforms Inc., targets users with their own personal data, said Jun Harada, head of growth and communication at Signal. One post began, “You got this ad because you’re a certified public accountant in an open relationship.”
Facebook responded by shutting down Signal’s ad account, according to Mr. Harada. The move came only days after Apple Inc. announced sweeping data-privacy changes that would upend the digital advertising industry.
When used correctly, AI forces marketers to consider new perspectives and avoid simply repeating approaches that worked in the past, said DumDum founder Nathan Phillips.
“You can create a dance between human and computer that changes the way you think,” Mr. Phillips said.
The idea of AI as a creative partner isn’t new, but most campaigns have positioned it as a gimmick.
In 2018, Toyota Motor Corp.’s Lexus released what it called “the world’s first advert to be scripted entirely by AI.” However, a Lexus spokeswoman described that effort as a “one-off,” and it still needed a human director.
Increased use of AI could potentially eliminate some entry-level marketing jobs, but it will never replace the people required to ensure that content is fit for public consumption and to prevent controversies such as Microsoft Corp.’s anti-Semitic chat bot, said Mr. Davenport, the Babson College professor.
Ad industry leaders agreed that AI will supplement, not supplant, human ingenuity. “While [AI] can unlock the creative capacity of people by making their work more efficient and effective, sometimes we need to throw logic out the window and fall back on our intuition,” said Rob Reilly, global chief creative officer at ad giant WPP PLC.
More creative firms will begin using AI tools in the coming years, but most will not position themselves as AI-driven businesses, because CMOs aren’t particularly concerned with the process as long as the resulting campaigns are successful, said Mr. Caiozzo of Supernatural.
“AI is just the tool that is freeing me to do my job,” he said. “Most people don’t care how you bake the bread.”
Like it or not, AI is here to stay and will only adjust and modernize the ad industry for years to come.
Notes:
Sources: The Wall Street Journal and Patrick Coffee. Appeared in the August 11, 2022, print edition as ‘Robots Turn Creative as AI Helps Drive Ad Campaigns.’
Hopefully making a ruckus, one blog post at a time!
Be sure to check out my other blog, Joe’s Journey, for a different kind of playground for creativity, innovation and inspiring stuff.
Not surprisingly, CREATIVITY is once again king of the soft skills for 2020. Based on a LinkedIn Learning report from earlier this year, Creativity was not only the most in-demand soft skill last year, it has retained its place as we move onward in 2020.
Furthermore, LinkedIn said, “Organizations need people who can creatively approach problems and tasks across all business roles, from software engineering to HR”.
LinkedIn Learning researched timely data from their network of over 660+ million professionals and 20+ million jobs to reveal the 15 most in-demand soft and hard skills of 2020. Persuasion, collaboration, adaptability and emotional intelligence rounded out the top five, all skills that demonstrate how we work with others and bring new ideas to the table. Four of the five most in-demand soft skills remain in their top spots year over year.
The lone exception, LinkedIn noted, was emotional intelligence — defined as the ability to perceive, evaluate and respond to your own emotions and the emotions of others — a newcomer to its list, which “underscores the importance of effectively responding to and interacting with our colleagues.”
The one variation in the most in-demand soft skills list indicates that companies are gravitating toward talent with interpersonal and people-oriented skills. It’s notable that employers are placing more emphasis on emotional intelligence in particular.
The top 5 most in-demand soft skills are:
#1 Creativity – Same as 2019
Organizations need people who can creatively approach problems and tasks across all business roles, from software engineering to HR. Focus on honing your ability to bring new ideas to the table in 2020.
#2 Persuasion – Same as 2019
Leaders and hiring managers value individuals who can explain the “why.” To advance your career, brush up on your ability to effectively communicate ideas and persuade your colleagues and stakeholders that it’s in their best interest to follow your lead.
#3 Collaboration – Same as 2019
High-functioning teams can accomplish more than any individual—and organizations know it. Learn how your strengths can complement those of your colleagues to reach a common goal.
#4 Adaptability – Same as 2019
The only constant in life—and in business—is change. To stand out in 2020, embrace that reality and make sure to show up with a positive attitude and open-minded professionalism, especially in stressful situations.
#5 Emotional Intelligence – New
Emotional intelligence is the ability to perceive, evaluate, and respond to your own emotions and the emotions of others. New to the most in-demand skills list this year, the need for emotional intelligence underscores the importance of effectively responding to and interacting with our colleagues.
ideasnmoreblog 