Category: Artificial Intelligence

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Catalina Salazar: The #martech Dynamo Turning Wolt Into a Retail Media Juggernaut

If retail media were a chess game, Catalina Salazar would be the queen—commanding the board, making bold moves, and turning every play into a checkmate. As the Global Head of Wolt Ads, she’s not just playing the game; she’s rewriting the rules, and frankly, the competition doesn’t stand a chance.

Wolt started as a Finnish food delivery app, but thanks to Salazar’s adtech sorcery, it’s now a full-blown local commerce powerhouse, bridging merchants, brands, and customers with the finesse of a Cirque du Soleil acrobat. But Catalina’s story doesn’t begin with Wolt—it spans continents, industries, and more reinventions than Madonna’s career.

From Colombia to Conquering the Wolt

Catalina’s career is a masterclass in global domination. Starting as a software engineer in Colombia, she soon realized her talents belonged on a bigger stage. She packed her bags for Australia, where she led digital performance marketing teams and built her reputation as someone who doesn’t just follow trends—she creates them.

Then it was off to the UK, where she served as the Global Digital Media Director for Dentsu, juggling global campaigns like they were nothing more than to-do lists. Feeling the pull of her roots, she returned to Colombia to head up Dentsu’s commerce operations across LATAM. But it was her stint at Rappi, the Latin American super-app, where she truly hit her stride, crafting programmatic retail media products and launching partnerships with over 100 global brands.

By the time she joined Wolt, Catalina wasn’t just experienced—she was battle-tested. “At Wolt, I lead global adtech product and business development, creating tools for merchants and brands to connect with consumers effectively,” she explains. “It’s about driving true business performance and value from their retail media budgets.” Translation: she’s the one making sure your ad spend actually works.

Retail Media: The New Gold Rush

Retail media is the hot new playground, and everyone wants a piece. But while others are fumbling around with outdated playbooks, Catalina is running the show like a maestro with a baton. “The biggest trend I observe is the increasing leverage of first-party data sets as media solutions,” she says. This isn’t just limited to retail anymore—healthcare, finance, and other industries are all jumping on the bandwagon.

But Catalina’s no starry-eyed dreamer. She knows this gold rush comes with challenges. “This trend presents a fragmented landscape for brands, with new providers and solutions emerging daily, complicating budget allocation,” she notes. Yet where others see chaos, she sees opportunity. “Technology companies have the chance to step in and help brands navigate this fragmented market.”

Her approach is simple but groundbreaking: keep it fair, keep it smart, and make sure it works. Wolt Ads doesn’t charge merchants for ad impressions or clicks—it only takes a cut when those ads drive actual sales. “We’re about results, not promises,” she quips. It’s a model that’s as revolutionary as it is practical—kind of like an all-you-can-eat buffet that only charges you for what you actually digest.

AI and Machine Learning: Catalina’s Secret Weapons

For Catalina, AI and machine learning aren’t just buzzwords—they’re the lifeblood of modern advertising. “AI facilitates the automation of digital creatives, scalable messaging for different segments, and real-time data insights to optimize campaigns,” she explains. At Wolt Ads, machine learning ensures that ads hit the right people at the right time.

“We use machine learning to personalize top placements, ensuring the most relevant audience sees the product,” she says. “It’s like matchmaking, but instead of dinner and awkward conversation, you get sales and customer satisfaction.”

AI is also Catalina’s answer to the cluttered digital marketplace. “Maintaining a consistent brand presence in top positions across touchpoints is critical,” she says. Her advice? Pair premium placements with personalized promotions to break through the noise.

The $50,000 Lesson

Even the most brilliant careers have their hiccups, and Catalina is no exception. Early in her career, she oversaw a billing change that cost her agency $50,000. “It was a facepalm moment,” she admits, “but it taught me the importance of checking in with the team during unfamiliar tasks.”

That experience shaped her leadership style. Today, Catalina is all about communication and accountability. “When you’re managing a team, it’s your job to make sure everyone’s on the same page,” she says. “Mistakes happen, but it’s how you bounce back that matters.”

What’s Next for Wolt Ads?

Catalina isn’t just running Wolt Ads—she’s scaling it faster than a startup founder with a fresh round of funding. Over the next 12 months, she plans to expand Wolt Ads across Europe and beyond, refine their AI-driven solutions, and forge partnerships with global brands.

“We’re not just scaling; we’re elevating,” she says. “Our focus is on creating seamless, omni-channel experiences that connect brands and consumers in meaningful ways.”

Her ultimate goal? To make Wolt Ads synonymous with retail media done right. And if her track record is anything to go by, she’ll get there—and make it look easy.

Catalina’s Playbook for Success

What does it take to thrive in the cutthroat world of marketing and advertising? Catalina has a few ideas:

  1. Know Your Stuff: “The industry changes faster than a TikTok trend. If you’re not learning, you’re losing.”
  2. Get Creative: “Innovation isn’t optional; it’s survival. Find new ways to stand out.”
  3. Crunch the Numbers: “Data isn’t just numbers—it’s the story of your success. Learn to read it.”
  4. Speak Up: “Good ideas are useless if you can’t sell them. Communication is key.”
  5. Bounce Back: “Mistakes happen. Learn from them, grow, and come back stronger.”

Why Catalina Matters

Catalina Salazar isn’t just a leader—she’s a trailblazer. Whether it’s leveraging first-party data, mastering AI, or reshaping retail media, she’s always ahead of the curve. And in an industry where standing still is the kiss of death, that’s exactly where you want to be.

“We’re at a tipping point,” she says. “The brands that adapt will thrive, and the ones that don’t? Well, they’ll be the Blockbusters of adtech.”

With Catalina at the helm, Wolt Ads isn’t just keeping up—it’s setting the pace. And in the race to dominate retail media, that’s all that matters.

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 The FTC vs. AI: Who Knew Regulating Lies Could Be So Complicated?

The FTC just dropped the hammer on one of the most obnoxious practices in the world of online marketing: fake endorsements. It’s about time, too, because if there’s one thing consumers don’t need more of, it’s getting bamboozled by bogus reviews and celebrity testimonials that have about as much credibility as a late-night infomercial.

So here’s what went down: On Wednesday, the FTC finalized a rule that basically says, “Enough with the BS.” They’ve made it crystal clear that businesses can no longer sell or buy fake reviews, whether they’re glowing or scathing. You know those sketchy reviews that sound like they were written by a robot? Well, they probably were, and now that’s off the table too. The rule even takes aim at companies trying to game the system with AI-generated reviews—because, apparently, it wasn’t enough to just deceive consumers with human-written lies.

But wait, there’s more! The FTC’s new rule also slams the door on insider reviews that don’t disclose connections. No more getting your cousin’s best friend’s roommate to write a five-star review without mentioning that they’re basically on your payroll. And for those businesses that thought they could get away with setting up a fake “independent” review site to sing their own praises? Think again. The FTC’s coming for you.

And if you’re one of those companies that think they can suppress negative reviews by threatening customers or simply making them disappear? Consider this your official wake-up call. The FTC rule makes it clear that messing with authentic feedback is a one-way ticket to penalty town.

Now, here’s where it gets really juicy: the rule doesn’t just target the usual suspects in the retail space; it’s also throwing shade at the influencer industry. We’ve all seen those cringey fake celebrity endorsements plastered across social media. You know, the ones where some B-list actor pretends to use a skincare product they’ve clearly never touched? Yeah, that’s going to be a lot harder to pull off now. The FTC cited an in-depth Better Business Bureau study that exposed fake celeb endorsements, so if you’re thinking about slapping a fake “As seen on Shark Tank” sticker on your product, you might want to rethink that strategy.

Oh, and speaking of AI, the FTC’s rule also specifically bans the use of generative AI tools to cook up fake reviews. It’s like they’ve been reading the tea leaves and know that as soon as one door closes, marketers are already looking for the next trick up their sleeve. But this time, the FTC’s one step ahead, slapping down that nonsense before it even becomes a trend.

This isn’t just about slapping wrists, either. The FTC means business, with the rule reiterating that fines will be issued for each violation. So, for all those e-commerce sites with thousands of questionable reviews? Let’s just say the penalties could add up faster than you can say “deceptive advertising.”

FTC Chair Lina M. Khan summed it up perfectly: “Fake reviews not only waste people’s time and money, but also pollute the marketplace and divert business away from honest competitors.” In other words, this isn’t just about protecting consumers—it’s also about leveling the playing field for businesses that actually play by the rules.

Now, if you’re thinking this is just another chapter in the FTC’s long-running series of consumer protection efforts, you’re not entirely wrong. But there’s a fresh edge to this latest move, a sense that the FTC is done playing nice with those who think they can pull a fast one on the public. The rule will take effect 60 days after it’s published in the Federal Register, so the clock is ticking for those still trying to figure out how to weasel their way around it.

And in case you’re wondering if this might spill over into politics—well, we’ve already seen the kind of drama that can unfold when fake endorsements start circulating. Just look at the recent mess in Duval County, where a lawsuit is accusing state representative Angie Nixon’s campaign of distributing fake endorsement flyers. It’s a perfect example of how the lines between marketing, politics, and outright deception can blur, and why the FTC’s rule is a big deal beyond just the retail space.

The Bigger Picture: The FTC’s Heavy Hand on AI Raises Concerns

But let’s zoom out for a moment, because this rule is about more than just cleaning up the cesspool of fake reviews—it’s also a signal that the FTC is gearing up to flex its regulatory muscles over emerging technologies like AI. And while this might seem like a win for consumers and honest businesses, it also raises some serious concerns about the FTC’s approach and the potential for regulatory overreach.

The rule explicitly bans the use of generative AI tools to create fake reviews and testimonials, which shows that the FTC is acutely aware of the role AI is starting to play in the marketing landscape. But here’s the rub: the FTC is stepping into a regulatory gray area where the laws haven’t quite caught up with the technology. Critics have already pointed out that the FTC’s move to regulate AI without clear legislative backing could be seen as overstepping its authority.

Take, for example, the criticism that emerged when the FTC first started hinting at regulating AI. There’s a growing chorus of voices arguing that the agency might be biting off more than it can legally chew. As attorney Brian Hengesbaugh, a partner at Baker McKenzie, noted, “The FTC is signaling that they want to take a broad approach to AI regulation, but without specific laws, their actions could be vulnerable to legal challenges.” The FTC’s attempt to regulate AI through existing consumer protection laws—rather than waiting for new legislation to be passed—puts the agency on shaky constitutional ground.

This is where things get even more interesting—and potentially problematic. The recent Supreme Court decision in West Virginia v. EPA is a case in point. The ruling significantly curbed the Environmental Protection Agency’s power to regulate greenhouse gas emissions without explicit congressional authorization, setting a precedent that could come back to haunt the FTC. The Supreme Court’s decision suggests that federal agencies need clear and specific mandates from Congress before they can impose new rules, especially when it comes to regulating cutting-edge technologies like AI.

So, while the FTC’s new rule might look like a strong stance against deceptive practices, it could also be seen as the agency overstepping its constitutional bounds. If the rule is challenged in court—and let’s be real, it probably will be—there’s a legitimate question about whether it will hold up in the long run. The FTC is treading into new territory, and without a solid legal foundation, its efforts to regulate AI could be seen as an overreach.

For those of us who believe in the importance of keeping the marketplace honest, this rule might feel like a step in the right direction. But it’s also a reminder that even well-intentioned regulations need to be backed by law—and right now, the legal landscape for AI is anything but settled. If the FTC wants to continue down this path, it might need to push for clearer legislative backing, or it risks having its efforts undone by the courts.

In short, while the FTC’s heavy hand on AI might be good for society, it also raises the stakes in a legal and constitutional showdown that’s just getting started. Marketers, influencers, and anyone else who thought they could skate by with a little creative dishonesty are in for a rude awakening. It’s time to get real, or get out.

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From Technophobe to AI Maven: Naama Manova Twito’s Wild Ride

Ever heard of someone transforming from a tech-averse marketer to an AI trailblazer? Meet Naama Manova Twito, the co-founder of the world’s first fully autonomous AI marketing team. Fasten your seatbelts, folks; this isn’t your typical startup saga. We’re talking about a journey filled with kicking, screaming, and eventually hugging the tech beast.

First up, Naama greets the world with refreshing candor, skipping the usual PR fluff. “Startup founder and an Israeli? You’re always on,” she declares, balancing the stress of a burgeoning business with the unique pressures of Israeli life. If you don’t know, “beseder” isn’t just a word; it’s a philosophy of perpetual survival and a shrug in the face of chaos. Resilience isn’t just built here; it’s forged in the fires of constant flux.

So, how does AI play into this? It’s not just some tool Naama uses; it’s more like an unruly pet that sometimes fetches the paper and other times chews the couch. Transitioning from a technophobe, she was initially resistant to the digital revolution. Imagine someone clinging to their flip phone while the world around them adopts smartphones. It took a retail venture’s harsh realities to shove her into the digital deep end. Running a retail brand with a website while still trying to sell door-to-door was her wake-up call. If she wanted to keep up, she had to embrace the tech she once shunned.

Once she took the plunge, the surprises kept coming. AI’s rapid adoption floored her. Suddenly, everyone—from your grandma to your dog-walker—was using advanced tech. It’s one thing to see AI in a lab; it’s another to see it in everyone’s hands, shaping everyday interactions. Yet, it wasn’t all smooth sailing. Naama found that while AI can handle repetitive tasks, it doesn’t replace the need for human creativity. Think of AI as a sous-chef: great for chopping veggies, but you still need the chef’s touch to make the dish sing.

Reflecting on her career, Naama recalls the wild west days of marketing when a good budget and a catchy slogan could propel a brand to stardom. Then came the digital deluge, social media mania, and the mobile revolution. Just when she thought she had a handle on Facebook, TikTok swooped in to flip the script again. It’s like being in a never-ending game of Whac-A-Mole, where each new platform is a fresh mole to smack. Yet, she sees AI as a game-changer, not just another mole. It’s a tool to cut through the noise, provided it’s used wisely.

The most overhyped trend? People obsessing over whether AI-generated content will rank on search engines. Naama is unfazed. She sees the future of search evolving beyond traditional SEO. Search engines won’t be the gatekeepers they once were; AI-powered assistants are the new frontier. It’s less about ranking and more about relevance and reliability.

Keeping her team motivated in this fast-paced industry is another feat. Coffee, of course, fuels the fire, but Naama’s real secret is empowering her people. She’s mastered the art of stepping back and letting her team run the show. Picture a bustling office at 7 PM, everyone working like their lives depend on it because, in many ways, they do. Senior and junior developers mix, match, and mesh, driven by a shared passion for innovation.

When asked about her advice for newcomers, Naama emphasizes curiosity. In an industry where jargon can be a minefield, she advises asking questions, no matter how stupid they might seem. Better a moment of embarrassment than a lifetime of ignorance. And if you’re surrounded by smart, supportive people, those questions will only propel you forward.

Throughout her career, Naama has had her share of mentors and tormentors. From supportive parents to challenging bosses, each figure has shaped her path. She recalls leading an IPO at 24, a milestone that boosted her confidence and set the stage for future successes. These experiences, both good and bad, built her resilience and fueled her drive.

Naama’s proudest moment? A personal one. Despite the demands of startup life, she beams with pride when her daughter publicly admires her on social media. Balancing work and family is a tightrope walk, but moments like these validate the sacrifices and hard work.

Introducing AI-driven solutions to clients often evokes skepticism. But Naama’s small business clients adapt quickly, seeing AI as a lifeline rather than a threat. Larger organizations, however, face resistance from employees fearing job loss. Naama believes in rewarding tech adoption, turning potential foes into allies.

AI’s unexpected quirks provide their share of laughs. Like the time it suggested “mattress matters” for a rock-themed campaign, complete with pebbles as imagery. It’s a reminder that while AI is powerful, it still needs human oversight to stay on track.

Looking ahead, Naama envisions hybrid teams, where AI and humans work seamlessly together. She dreams of a world where AI handles the grunt work, freeing humans to focus on creativity and strategy. It’s not about replacing jobs but enhancing them, creating a partnership that pushes the boundaries of what’s possible.

Naama’s ultimate goal? To make marketing fun again. She longs for the days of Mad Men-style creativity, where brainstorming wild ideas over drinks was the norm. By offloading the mundane tasks to AI, she hopes to reclaim that joy and spontaneity in marketing.

And if she had a superpower? Forget flying or invisibility. Naama wants the foresight of Bradley Cooper in “Limitless.” For a startup founder juggling countless tasks, seeing 50 steps ahead would be a game-changer. Outside of work, her guilty pleasure is baking—an overcompensation for a history of eating disorders. It’s her way of balancing the high-stakes world of AI with something tangible and therapeutic.

If stranded on a desert island, Naama’s dream team includes her family, Gordon Ramsay for culinary delights, and Norah Jones for the soundtrack. It’s a mix of personal and professional inspiration, a blend of support and skill.

Books that changed her life? Chris Voss’s “Never Split the Difference” tops the list. It’s a masterclass in negotiation, blending FBI tactics with business acumen. Naama’s takeaway? Compromise isn’t always the best solution. Sometimes, it’s about finding the right solution.

In the marketing world, she admires Estée Lauder’s audacity. From making creams at home to breaking a bottle of perfume at a department store to grab attention, Lauder’s fearless approach resonates with Naama. It’s the kind of bold, rule-breaking spirit she aspires to embody in her career.

And the funniest business mishap? A unicorn-riding daughter crashing a serious Microsoft Zoom meeting. It’s the kind of surreal, only-during-COVID moment that breaks the ice and humanizes even the most professional settings.

Naama’s legacy in the marketing world is clear: transforming the mundane into the magical, blending AI’s efficiency with human creativity. She’s not just changing the game; she’s rewriting the rules, one innovative step at a time.

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AI Hysteria: Are We Heading for Another Dot-Com Debacle?

Hold onto your hats, folks, because the AI hype train is barreling toward what looks like a brick wall. Investors are sweating bullets, wondering if they’ve thrown billions into the next big thing or the next big flop. The whispers in Silicon Valley are getting louder: Is this the second coming of the dot-com crash?

Let’s dive into some numbers that will make your head spin. David Cahn from Sequoia Capital, a guy who probably has more zeros in his bank account than most of us have seen in our lifetimes, dropped a bombshell. He said AI companies need to rake in about $600 billion annually to justify their shiny new datacenters. For context, that’s like asking your neighborhood lemonade stand to pay off the national debt. Nvidia, the poster child of AI hardware, made a cool $47.5 billion last year. Impressive? Sure. But it’s like putting a Band-Aid on a bullet wound when you look at the overall costs.

 Déjà Vu, Dot-Com Style

Remember the dot-com bubble? If you were too young or too busy playing with your Tamagotchi, let me paint a picture: It was like a frat party where everyone thought they were the next Mark Zuckerberg before Facebook was a thing. Then, bam! The bubble burst, and people’s dreams of endless riches turned into nightmares of bankruptcy. It was a bloodbath, and if you think the AI craze is any different, I’ve got a bridge to sell you.

James Ferguson, a grizzled veteran from MacroStrategy Partnership, isn’t buying the AI hype. On a recent episode of “Merryn Talks Money” (a podcast that sounds like it’s trying too hard to be hip), he likened the AI frenzy to the dot-com days. “These historically end badly,” he said, probably while sipping a scotch and rolling his eyes. According to him, AI is still “completely unproven,” and if it can’t be trusted, it’s about as useful as a screen door on a submarine.

 The Hallucination Hilarity

Let’s talk about one of AI’s most charming quirks: its tendency to “hallucinate.” No, it’s not dropping acid at Burning Man or getting high on its own supply. In AI lingo, hallucinations mean spitting out completely wrong or misleading information with all the confidence of a seasoned politician. Imagine you ask your GPS for directions to the nearest Starbucks, and it tells you to drive straight into a lake. Fun times, right? This issue makes AI about as reliable as your drunk uncle at a family reunion, who insists he can balance a beer bottle on his nose—right before he faceplants into the buffet table. It’s the kind of problem that keeps tech executives awake at night, wondering if their shiny new AI toy is going to embarrass them on a global scale.

Ferguson, ever the realist, suggested that Nvidia—a leading producer of AI computing chips—might be as overvalued as a tech stock in the dot-com bubble. Remember those days? Companies were valued higher than Mount Everest without making a single penny. Nvidia, the golden goose of AI, is hailed as the savior of the tech world, but what happens when the goose starts laying rotten eggs? You’ve got a room full of investors with egg on their faces and a very expensive omelet no one wants to eat. It’s a high-stakes game of financial chicken, and the question on everyone’s lips is whether Nvidia can deliver the goods or if it’s all just a lot of hot air.

The problem with these AI hallucinations is they’re not just funny—they’re potentially dangerous. Picture AI running a critical system, like healthcare diagnostics or autonomous driving, and deciding to take a creative detour. That’s the stuff of dystopian nightmares. Yet, here we are, pouring billions into technology that sometimes behaves like a misinformed toddler. Investors are starting to wonder if their AI darling is really worth the hype or if they’ve been sold a bill of goods. After all, nobody wants to wake up one morning to find out their multi-billion-dollar investment is about as useful as a chocolate teapot. The AI dream could quickly turn into a very expensive nightmare if these issues aren’t ironed out soon.

AI: Savior or Sideshow?

Generative AI was supposed to be the silver bullet for everything from content creation to customer service. Picture a world where your every mundane task is automated, and your customer service interactions are smoother than a baby’s bottom. The tech wizards promised us a future where AI would write our reports, solve our customer complaints, and maybe even tuck us in at night. But now, even the most devout AI evangelists are starting to hedge their bets. Companies are setting up “sandboxes” to test AI in controlled environments, hoping to avoid any public meltdowns. It’s like testing a new kind of fireworks in a bomb shelter—you hope for a spectacular show, but you’re prepared for a disaster.

The term “sandbox” sounds cute and playful, but let’s be real. It’s a padded room for AI to play in without causing chaos in the real world. These companies are essentially saying, “Hey, we believe in our AI, but just in case it tries to start World War III or turn our customer complaints into existential crises, we’ll keep it locked up where it can’t do too much damage.” It’s a bit like handing a toddler a chainsaw and saying, “Go play outside, but stay within the fenced yard.” You’re bracing for something to go horribly wrong.

Tim Lippa from Assembly summed it up nicely: “Everything is AI now. Is it really?” Spoiler alert: Not always. Slapping an AI sticker on your product doesn’t make it smarter, just like putting a Ferrari logo on a Honda Civic doesn’t make it faster. And the industry is littered with these faux-AI products that promise the moon but deliver a soggy slice of cheese. It’s the tech world’s equivalent of putting lipstick on a pig and calling it a beauty queen. The label might look fancy, but underneath, it’s still just a pig.

The market is now flooded with AI products that are about as intelligent as a box of rocks. These so-called AI solutions often turn out to be nothing more than glorified algorithms, doing the same old tasks but with a shiny new badge. Companies are trying to jump on the AI bandwagon faster than hipsters flocking to the next avocado toast trend. They think they can sprinkle a little AI fairy dust on their outdated tech and suddenly be the next big thing. But newsflash: If your core product is garbage, no amount of AI sparkle is going to turn it into gold.

The problem is, there’s a lot of smoke and mirrors in the AI industry right now. Companies are over-promising and under-delivering, making bold claims about their AI capabilities while quietly setting up those padded sandboxes in the backroom. It’s a classic case of “fake it till you make it,” but in this high-stakes game, the stakes are billions of dollars and the future of entire industries. Investors are starting to get wise to the act, and the once unshakable faith in AI is beginning to wobble.

Virtual Influencers: The Digital Mirage

Remember the buzz around virtual influencers? Digital creations like Lil Miquela were supposed to revolutionize marketing. Instead, they’ve become the tech world’s version of pet rocks. Becky Owen from Billion Dollar Boy nailed it: The hype has died down, and brands are shifting focus to more tangible tech like chatbots. It turns out, people prefer influencers with a pulse. The height of it was, everyone wanted to have a story in the headlines and have something, and that’s really gone down,” said Becky Owen, chief marketing and innovation officer at Billion Dollar Boy influencer marketing agency.

In the age of TikTok, authenticity is king. Virtual influencers, no matter how polished, can’t replicate the genuine connection that real humans offer. Brian Yamada from VMLY&R hit the nail on the head: AI influencers lack the cultural resonance and authenticity that real people bring to the table. They’re the tofu of the influencer world – technically food, but lacking the flavor and texture we crave.

In the early 2010s of virtual influencers, they existed largely as still images. “It’s reasonable to assume that the growth of TikTok, as well as audiences seeking motion/video content, made maintaining those virtual influencers a much heavier lift for those managing the pages,” Jay Powell, svp of communications and influencer at Crispin Porter Bogusky, said in an email.

That’s not to say the industry will stumble upon a digital graveyard anytime soon. Miquela continues to post regularly, having recently landed an ad with Worldcoin, a biometric cryptocurrency project, and appearing alongside celebrities like Spanish singer-songwriter Rosalia on Instagram. But perhaps in the same vein as social commerce and live shopping, these tech trends have taken off in Asian countries only to fizzle out in the West — at least for now.

At Dentsu Creative Singapore, however, the technological advancements of AI in the influencer space have spurred, according to Prema Techinamurthi, who serves as managing director. Said growing interest is based on virtual influencers ability to adapt in any scenario, consistency and creative control for marketers and global appeal, given virtual influencers can be designed to cross geographical and language barriers.

The Glorified Guinea Pigs

Let’s be real. AI right now is a bunch of glorified guinea pigs running around in their little sandboxes, making cute noises but not really doing anything groundbreaking. It’s like we’ve handed these little critters the keys to the kingdom and then locked them in a playpen because, surprise, surprise, they can’t be trusted not to poop all over the place. Cristina Lawrence from Razorfish mentioned recently that their agency has agreements with larger platforms to keep data sandboxed. Translation: “We don’t trust our AI not to turn our data into digital confetti, so we’ve wrapped everything in bubble wrap and put up baby gates.”

You have to understand, these “multiple levels of check steps” are just fancy talk for “we’re covering our butts because we have no idea what this tech is going to do next.” It’s like giving a toddler a Sharpie and hoping they’ll create a masterpiece instead of redecorating your walls. Lawrence’s idea of “open and transparent” might as well be corporate speak for “we’re doing everything we can to make sure our AI doesn’t accidentally set the office on fire.” The digital equivalent of bubble-wrapping everything to make sure nothing gets scratched? More like bubble-wrapping everything to ensure our jobs don’t go up in flames when the AI decides to go rogue.

And let’s not pretend this is an isolated practice. Everyone in the AI game is playing it safe, building these digital playpens for their tech like it’s a pack of unpredictable puppies. These sandboxes are supposed to be where AI can stretch its legs and run around without causing too much damage, but really, it’s more like letting them frolic in a padded room. It’s cute, sure, but groundbreaking? Not even close. We’re watching a bunch of digital hamsters running on their wheels and calling it progress. Meanwhile, the tech giants are patting themselves on the back for being “innovative” while essentially playing it safe.

So here we are, with all this supposed cutting-edge technology, and what are we doing with it? Playing digital babysitter. We’ve got these AI guinea pigs locked up tight because, frankly, no one wants to deal with the mess if they get out. It’s the ultimate in corporate CYA—cover your ass—making sure that if something goes wrong, it’s contained and controlled. The future of AI is looking less like a sci-fi utopia and more like a highly monitored daycare where every move is watched and every potential tantrum is preemptively managed. So much for the brave new world.

The Verdict

So, is the generative AI boom dead? Not quite. But the cracks are showing, and the tech world’s latest darling might be in for a rough ride. The bubble might not have burst yet, but you can bet there are plenty of folks watching closely, ready to say “I told you so” if it does. In the meantime, keep your popcorn handy – this show is far from over.