Digital Marketing Social Media and Updates

AI Becomes Marketing Infrastructure; Power, Ethics Must Lead

2025 will be remembered as the year AI stopped feeling “emerging” and started feeling like infrastructure. It quietly seeped into every layer of marketing—creative, media, analytics, and even how leaders frame strategy and risk. At the same time, the social platforms where people live, argue, buy, and belong became more crowded, more automated, and, in many ways, more fragile. From where I sit—at the intersection of social, AI, technology, and ethics—2025 was not just about new tools. It was about power. Who has it. How it’s used. And what it means when the stories shaping our culture are increasingly co-authored by algorithms. As 2026 begins, I’m less interested in “top 10 trends” and more focused on a smaller set of durable learnings and commitments: what we must carry forward if we want innovation to actually serve people, not just performance dashboards. 1. AI is now invisible infrastructure—and that’s where the real risk lies In 2018, AI in marketing felt like innovation theater: pilots, labs, future-of decks. In 2025, AI became the plumbing. It powered audience targeting, creative iteration, content generation, sentiment analysis, customer journeys, and increasingly, the backend of social platforms themselves. That shift matters. When a technology becomes invisible, it also becomes harder to question. When every social feed is tuned by models we don’t see, it becomes easy to forget how much power they have over what we notice, normalize, and ignore. When every marketing team has “AI in the stack,” the conversation often stops at productivity—how much faster, cheaper, or more personalized we can be—rather than whether we should use AI in a given context, or under what safeguards. In 2025, I watched teams swing from skepticism to blind trust almost overnight. The risk now is not that marketing leaders will reject AI. The risk is that they will accept it uncritically—treating black-box systems as neutral, objective, and benign. The truth: AI is not neutral. It encodes values, incentives, and blind spots. Leadership in 2026 means making those explicit, not pretending they don’t exist. 2. Social is no longer just “media”—it’s civic infrastructure For more than a decade, many in marketing have talked about social channels primarily in terms of reach, engagement, and conversion. In 2025, it became even clearer that social is something else entirely: a form of civic infrastructure. It is where narratives about health, elections, identity, and belonging are shaped in real time. It is where trust can be built—or eroded—at scale. It is where synthetic content and human content increasingly coexist, often without clear distinction. When we design campaigns on these platforms, we’re not just optimizing funnels. We’re participating in an information environment that affects real people’s mental health, relationships, and decisions. That means brand leaders don’t just have a marketing problem; they have a responsibility problem. Questions like: Are we amplifying clarity or confusion? Are we contributing to human connection or just attention extraction? Are our measurement models rewarding polarization and outrage, or depth and usefulness? In 2026, the brands that will matter most are the ones willing to see social not only as a performance channel but as a space of shared responsibility. 3. Community quietly outperformed campaigns If 2025 was the year AI scaled content, it was also the year many leaders relearned something very human: relationships still win. The brands that thrived did a few things differently: They treated creators as partners, not just paid reach. They invested in micro-communities—niche groups, professional networks, fandoms—where conversation and belonging mattered more than virality. They measured more than impressions, looking at retention, referrals, and the texture of engagement: thoughtful comments, collaborations, user-led initiatives. As generative tools flooded feeds with more content, people increasingly looked for signals of realness : recognizable voices, consistent values, responsiveness, and vulnerability. Metrics still matter, but meaning is making a comeback. In my own work, I saw a pattern: when AI was used to listen better, learn faster, and free humans to spend more time in actual relationship-building, it amplified impact. When AI was used purely to crank out more undifferentiated content, performance spiked briefly and then faded. The market is learning to tune out the generic, no matter how optimized it is. 4. The trust recession is real There is a growing, quiet fatigue in digital life. People are tired of being tracked, targeted, and manipulated. They are tired of not knowing whether the video they’re watching, the testimonial they’re reading, or even the “person” they’re messaging is real. In 2025, that fatigue began to feel less like a vibe and more like a structural risk: a trust recession. You see it in: Rising skepticism toward influencer content. Backlash against obviously AI-generated imagery and messaging. Declining attention to branded posts that feel interchangeable and disposable. Trust is not a soft metric. It is an economic asset. And once it is worn down, it takes time, humility, and consistent behavior to rebuild. The irony is that the same technologies that can erode trust at scale can also help us rebuild it—if we choose to use them differently. Provenance, transparency, and accountability are not antithetical to performance; they’re increasingly prerequisites for it. 5. What I’m committing to in 2026 As someone who has spent years advocating for responsible innovation, 2025 was both exhilarating and sobering. The acceleration is real. The stakes are higher. And so, the commitments must be clearer. Here’s what I’m focused on in 2026: 1. Making “responsible AI” non-negotiable in strategy conversations Responsible AI cannot be a slide at the end of a deck. It must be a design principle at the beginning. What data are we using, and who does it represent—or exclude? How are we disclosing AI use in ways that respect audience autonomy and consent? What are the failure modes of this system (misinformation, bias amplification, reputational risk), and how are we monitoring for them? 2. Redefining performance to include human outcomes We will still talk about ROAS, CAC, and lifetime value. But alongside those, we need to talk about: Community health: Are the spaces we sponsor leaving people more informed, more connected, and more empowered—or not? Brand safety in a deeper sense: not just avoiding offensive adjacency, but aligning campaigns with the long-term values we claim to hold. Cognitive load: Are we contributing to noise, or are we designing for clarity and care? 3. Investing in creative and narrative craft as the new edge As AI commoditizes production and targeting, the differentiators become: Original thinking: having a clear point of view, not just a content calendar. Narrative coherence: showing up with messages that align across channels and over time, instead of chasing every new format or meme. Human texture: allowing imperfection, nuance, and genuine voice—especially in leadership communication. 4. Teaching teams to think like ethicists, not just operators This doesn’t mean everyone needs a philosophy degree. It means operationalizing a few simple habits: Ask “Who could be harmed by this?” before launch, not after. Run premortems on AI projects: if this goes wrong, how does it go wrong and who is impacted? Create real escalation paths so practitioners can raise concerns without fear of being labeled “anti-innovation.” 6. An invitation to fellow leaders If your role touches marketing, technology, or public perception, 2026 is not the year to sit on the sidelines and hope the systems sort themselves out. This is the year to: Get closer to the models and platforms you rely on. Ask harder questions about the incentives driving them. Decide, with intention, how you want your brand—and your leadership—to shape the information environment we all share. The future of marketing is not just more personalized, automated, and measurable. It is, inevitably, more consequential. The decisions we make now will set norms for how AI and social platforms shape discourse, behavior, and belief for years to come. In 2026, the leaders who will matter most are the ones willing to treat that not as a side note, but as the central challenge and privilege of their work.