What Marketers Really Think About the Future of AI
23 Jan 2026 | by Hannah Moody

What the AI?
Everyone is using AI in different ways. At this month's ‘The Marketing Meetup’ we hosted the discussion for the community to chat about their AI usage. Discussing the real AI, not the futuristic version sold in keynotes, but the messy, practical, and sometimes frustrating tool we're all trying to figure out in our day-to-day work. The key questions raised by marketers, and the answers, are below.
Will AI take my job in marketing?
The question dominating every conversation was “Will AI take my job?” The answer that emerged was more nuanced than the headlines suggest. While the media tends to focus on marketing managers worrying about job security, the reality on the ground is one of role transformation rather than elimination.
New, specialised positions are emerging: AI Integration Managers, LLM Specialists, and similar titles. These roles are less about replacing human teams and more about building internal expertise and ensuring AI is deployed strategically, ethically, and to maximum effect.
At its core, many of the so-called “new” AI-focused marketing disciplines are extensions of timeless principles. The buzz around “AEO” (AI Engine Optimisation) largely circles back to the same fundamentals as SEO: understanding user intent and producing high-quality, relevant content. The tool may be new, but the strategic thinking behind it remains deeply human.
Is AI making us less capable?
Efficiency is AI's strongest selling point, but several marketers raised cautionary notes about the risks of over-reliance.
AI's primary appeal is its ability to automate routine tasks and accelerate day-to-day work. However, depending on it too heavily risks leaving marketers progressively de-skilled.
A recurring cautionary example involves using AI agents to manage communications such as email. While response times may improve, the marketer can become increasingly disconnected from the client relationship, losing the vital context and nuanced understanding that comes from direct engagement.
The deeper concern sits at the strategic level. Routinely feeding data into AI for analysis could gradually erode the human skill of strategic thinking. There is a genuine risk in outsourcing not just data processing but also the interpretation and judgment that should sit behind it. While AI can handle data at scale, it lacks the human context, lived experience, and creative instinct that drive truly innovative strategy.
How do I recruit now that everyone is using AI?
How do you assess genuine human ability in a world where AI is standard? As AI becomes ubiquitous, identifying real talent demands new approaches. The key is evaluating not just the end result, but the thinking process behind it.
Forward-thinking hiring teams now routinely ask candidates to describe how they used AI within any application task. The goal is not to penalise AI use, but to understand the candidate's editorial judgment, strategic contribution, and whether they treat AI as a tool or a crutch. How a candidate responds to that question can be more revealing than their portfolio.
Should I label my AI content?
As AI-generated images and copy become widespread, a pressing ethical and practical question has surfaced: should AI-produced content be labelled?
The prevailing view leans toward “yes,” particularly for visual content. The driving force mirrors the reasoning behind “#ad” and “sponsored” disclosures: consumer protection and combating misinformation. As deepfakes and synthetic media grow more convincing, transparency is likely to become both a regulatory requirement and a reputational necessity.
Enforcement, however, remains a significant challenge. Just as some circumvent advertising disclosure rules, technical workarounds to strip AI metadata will always exist. The industry appears to be heading toward a cycle of improved detection tools met by ever more sophisticated methods of concealment.
Will there be an “Anti-AI” Cohort?
A compelling prediction came through clearly: by the end of 2026, a significant and vocal group of people will be actively opposed to generative AI.
This sentiment will be fuelled by concern over AI displacing creative roles—as evidenced by the backlash against AI-generated title sequences in Marvel's Secret Invasion.
Resistance will be strongest where AI is perceived as deceptive: producing fabricated imagery or impersonating genuine human connection. Utilitarian applications such as search or voice-to-text are likely to face less pushback.
We have already seen AI chatbots face increased regulatory scrutiny following an incident in which a Meta chatbot misled a vulnerable man and encouraged him to travel to New York City alone. He was unable to care for himself independently and tragically passed away.
How do I use AI to fuel creativity, not replace it?
The most encouraging practices shared centred on treating AI as a creative partner rather than a substitute. The framing that resonated most was viewing AI not as a replacement but as a collaborator.
Rather than prompting AI to “write a blog post,” the marketers finding the best results are using prompts like: “Challenge the assumptions in this brief,” or “Act as a brainstorming partner and ask me probing questions about this campaign concept.” This approach leverages AI to structure thinking, break through creative blocks, and explore unexpected angles—while leaving the final synthesis and emotional resonance to the human professional.
This requires robust internal protocols. The teams getting the most from AI have established clear guidelines around its use, emphasising specific and context-rich prompting and, above all, rigorous human oversight. The guiding principle: always question, fact-check, and refine the output before it leaves your hands.
The Bottom Line… A Tool, Not a Totem
The consensus was clear: AI is a powerful, imperfect, and habit-forming tool. The prevailing attitude is not one of blind faith, but of pragmatic and considered integration.
The aim is not to let AI think on our behalf, but to use it to handle the repetitive, freeing humans to focus on the creative and connective work that genuinely matters. As one attendee put it simply: “People buy from people.” The central challenge for marketers today is ensuring that in the rush toward efficiency, we do not engineer the humanity out of our own profession.
The current moment in AI and marketing is not about passive adoption—it demands active and thoughtful integration. AI is an extraordinarily powerful instrument for automating the routine, processing the complex, and accelerating the mundane.
The ultimate goal is to harness those efficiencies in order to liberate our most distinctly human capabilities: creativity, strategic thinking, empathy, and genuine connection. The challenge ahead is to wield the power of AI without losing the humanity that makes marketing truly resonate. The future belongs not to those who are replaced by AI, but to those who learn to use it with wisdom, ethical grounding, and an unwavering commitment to human value.
What's your perspective? Is AI sharpening your workflow or quietly dulling your strategic thinking?
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