While AI is great for drafting an email in seconds, the foundation - your personas, your data hygiene and your compliance - still requires a human at the helm. By using AI-driven knowledge bases, her team is reducing that drag, ensuring sales finds what they need without the manual 'where is this file?' fire drill.
I've done a 180 when it comes to the use of AI. Instead of viewing ChatGPT as a threat, I now look at AI more broadly and view it as an opportunity. Original, well-articulated ideas stand out in GEO-driven searches much more than they ever did in SEO-driven search. As such, there's a huge opportunity to articulate and amplify thought leadership, which is what we've been doing all along. - Margy Sweeney, Akrete
Artificial Intelligence has quickly become one of the most powerful accelerators marketing has ever had. There is no doubt that Gen AI tecnologies are expected to shape the future of marketing for companyies. Used well, it sharpens execution, unlocks efficiency and expands creative possibilities. Used poorly, it quietly erodes trust, weakens brands and forces painful strategic reversals. Recent years' examples make this contrast clear.
The advertising world is obsessed with boxes. By boxes, I mean predefined formats - like a 30-second TV slot, a radio jingle, a digital banner, or a billboard - created by entertainment platforms for advertisers to place their messages within. While these boxes offer clear advantages - such as consistency, interoperability, and simplicity - their very design reflects a one-way dynamic: the industry pushes adverts to consumers in return for their engagement with content. The intent and direction are entirely industry-led.
Despite the hype, most customers don't want a fully automated experience. In fact, 93.4% of U.S. consumers say they prefer interacting with a human over AI for customer service, according to OutreachX's report, "If Bots Handle Support, Who Handles Trust?" It also found 88.8% believe companies should always offer that option. That's not a glitch in the adoption curve - it's a signal.
I've spent the last year focused on building meaningful relationships on LinkedIn - sharing personal and professional experiences to create genuine connections. Each of these words have shaped this journey: staying curious about what my audience cares about and wants to learn from me, experimenting with creative ways to share my experience and engage with others, and embracing the courage it took to get started and be vulnerable.
Marketing is evolving faster than ever, powered by cutting-edge tech and changing consumer habits. And marketers aren't just keeping up-they're leading the charge. AI is now a game-changer, with 59% of marketers worldwide recognizing it as key for campaign personalization and optimization, underscoring its power to streamline operations and free up valuable time. That same momentum is driving strong investment in connected TV (CTV), which has firmly secured its place as a top-tier channel.
Posh's blend of community and commerce captures the theme of this year's Under 30 Marketing & Advertising class of founders and marketing leaders turning fast-moving technologies into new engines of creativity and connection. As the boundaries between tech, entertainment and advertising blur, these innovators are building tools, platforms and campaigns that reflect how people actually engage with brands today. Some are leveraging AI to reimagine the creative process.
There is an enormous disconnect between marketers' perceptions of AI's impact on customer experience and how consumers actually experience it. According to Invoca's " B2C AI Marketing Impact" report, 86% of marketers believe AI is enhancing the customer journey, only 35% of consumers agree. This gap in perception represents more than just a difference of opinion-it risks eroding trust and diminishing the very experience AI is meant to improve.
The world of marketing measurement is buzzing about AI. But when it comes to complex techniques like media mix modeling (MMM), the field is awash with false promises about the benefits that these new technologies offer. This creates enormous risks for enterprise marketers who regularly base multimillion-dollar decisions on such models. The hard truth is that AI, especially LLMs, produce confident-sounding but often wrong statistical analyses that can lead to poor budget allocation decisions.
Our industry is rushing headlong toward an AI-powered future. The promise is captivating: intelligent systems that can predict market shifts, personalize customer experiences and drive unprecedented growth. Yet in that race, many organizations are short-changing or even skipping a critical first step. They are building sophisticated engines but trying to run them on unrefined fuel. The result is a quiet crisis of confidence, where powerful technology underwhelms because the marketers don't trust the data it relies on.
Throughout the past few years, I've observed that many people in the marketing world have moved past their initial worries about AI. A common theme I'm hearing these days? It isn't that AI will take over, but rather that we're moving toward incorporation. I see AI as a fast, intuitive tool. But as marketers, how should we use it?
We're combining the incredible data ingestion and A.I. capabilities of Palantir with our engineering team out of the Coating Theory network and centrally that really has the marketing knowhow. And together we're aiming to create what I call the Holy Grail of marketing. That's where you sit. You sit back when you're in a big company and you say, Give me all those people who might need back to school.
Every week, I read at least three to five new articles confidently announcing that marketing as a profession is on the verge of extinction, soon to be replaced by artificial intelligence. I could read hundreds more if I wanted to. The argument is almost always the same: AI writes better copy, analyzes data faster, automates campaigns and even predicts customer intent. So, what's left for the humans?
As automation and artificial intelligence processes accelerate, many brands are convincing themselves that A.I. can replace the strategic and creative work of social media professionals. It's a decision often driven by budget cuts and misconceptions on what social media managers actually do, the skills they have and what truly makes social media marketing effective. A recent survey revealed that 39 percent of CMOs and brand marketing executives plan to reduce labor costs as they adopt A.I. and other automation tools.
The study of more than 800 marketers across eight countries reveals that investment in affiliate marketing is increasing, with 74% of brands saying they have increased affiliate investment in the past year due to other marketing channels becoming more expensive. 30% of brands allocate between 10 and 20% of their marketing budget to affiliate marketing, while 38% allocate between 21 and 30%.
According to Epsilon's 2025 "State of AI in Marketing" report, 94% of organizations now use AI to prepare or execute marketing, with content optimization ranking as the top use case at 51% of teams. Walk into any marketing department and you'll see teams generating blog posts, social captions and email copy at unprecedented speed. But here's what I've discovered after working with hundreds of communications students at the University of Oregon.
Marketing agencies are in a period of transformation, thanks in part to AI, and they're using the opportunity to think about purposeful reinvention, according to a survey of agency leaders. The report, " AI's Effect On The Marketing Industry" (registration required), from Sunup found AI is already responsible for changes in the hiring practices of many agencies. Agencies are fundamentally rethinking what they offer clients, how they structure their teams and what skills the marketer of 2030 will need to succeed, according to the report.
Traditional performance monitoring often means looking backward. It requires analyzing reports after the results are already in. But AI changes the cadence of MOps. Now, algorithms continuously watch campaign metrics, flagging anomalies before they spiral into wasted spend or missed conversions. Whether it's a sudden drop in engagement or an unexpected surge in cost per click, AI can identify problems and respond automatically, long before a human analyst would notice.
