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Artificial Intelligence

Inspiration Beyond the Obvious

By Artificial Intelligence, Culture

Inspiration rarely arrives where everyone else is looking for it.

A few months ago, I wrote about finding creative fuel beyond the usual capitals of culture—Beirut instead of Paris, Venice instead of Milan, Athens and Antwerp instead of the same four cities every brand deck references by default. This past week reaffirmed that belief, and it did so in a vineyard in the Côte du Rhône, of all places.

Four days there with an extraordinary group of artists, designers, and thinkers pulled in from London, Milan, Copenhagen, Beirut, Venice, and New York. The conversations moved without friction—from artistic process to hospitality design, from sourcing master artisans in Uzbekistan, Pakistan, Lebanon, Mexico, and Italy, to watching Danish designers reinterpret mid-century furniture as contemporary social commentary rather than nostalgia.

What struck me most wasn’t the range of disciplines in the room. It was the range of perspectives.

Everyone was asking different questions. Everyone was looking through a different lens at the same set of problems. That’s where the actual value lived—not in the sum of expertise, but in the friction between viewpoints.

Connection, Not Creation

The longer I work in branding, the more convinced I become that our job isn’t simply to create. It’s to connect ideas that don’t appear related to each other—before anyone else notices they are.

Great brands aren’t assembled from mood boards and reference decks alone. They’re built from curiosity. From stepping outside your familiar circles on purpose. From borrowing thinking—not aesthetics—from other cultures, crafts, and disciplines. From staying a student of the world, no matter how many years of experience sit behind you.

It’s easy, in this industry, to mistake a well-curated reference library for original thought. But references only tell you what’s already been made. Curiosity is what lets you see the connective tissue nobody’s mapped yet—the thing that turns a mood board into a genuinely new idea.

The Same Pursuit, Different Rooms

Tomorrow I start another chapter: MIT’s certificate program in Agentic AI.

To some, an artist retreat in rural France and a program on autonomous AI systems might look like two entirely separate worlds. To me, they’re the same pursuit wearing different clothes.

Understanding what comes next—for brands, for culture, for the work itself—requires equal parts human curiosity and technological fluency. One without the other gets you either something soulless and efficient, or something beautiful and irrelevant. Neither is the future.

The future won’t belong to those who feel forced to choose between art and AI. It will belong to the people and the brands that know how to connect them—who can sit in a vineyard talking about Danish furniture on Monday and sit in a classroom talking about autonomous systems on Tuesday, and see them as the same conversation.

That’s the work now. Not choosing a lane. Building the bridge.

The Brand is the Algorithm

By Artificial Intelligence, Branding

What happens when your brand isn’t just what people say about you, but what an algorithm decides to show about you?

In the age of TikTok, Instagram Reels, Google SGE, algorithm-driven branding, and AI-generated answers, brand visibility is increasingly dictated by machine logic. Creative directors might shape campaigns, but it’s the algorithm that distributes your story. This shift demands a new kind of brand fluency—one that considers how content is chopped, captioned, and crawled.

Modern branding isn’t just visual. It’s structural. SEO-optimized headlines, conversational metadata, alt text with attitude—this is the new brand language. Ignore it, and you’re invisible.

So no, your logo doesn’t need to be bigger. Your story just needs to be machine-readable.

Weird AI Wins

By Artificial Intelligence

Perfect is boring. In the age of generative AI, where polished content can be created at the push of a button, weird is the new currency of attention.

Too many brands use AI to automate sameness—generic visuals, formulaic copy, lifeless campaigns. But the savviest brands are leaning into AI’s quirks. They’re using it not to sanitize creativity, but to spark it.

We’re seeing surreal AI-generated visuals go viral. Brands experimenting with absurdist humor, playful randomness, and interactive AI experiences are standing out. Why? Because audiences crave content that feels fresh, surprising, and human—even when it’s machine-assisted.

Here’s the opportunity: embrace AI as a creative collaborator, not a corporate copy machine. Feed it unexpected inputs. Let it riff. Curate and edit the outputs, but leave room for the delightful imperfections AI can surface.

The human touch is still essential. Brands need strong editorial direction to ensure AI outputs align with their tone, values, and voice. But when used playfully and provocatively, AI can help brands explore new creative frontiers.

And there’s a deeper cultural shift driving this. In an era of mass-produced content, originality is scarce—and valuable. Audiences respond to brands that show creative courage, even if the results are imperfect.

So don’t just use AI to speed up content production. Use it to experiment. To get weird. To surprise your audience. Because in 2025, the brands that embrace imperfection will feel more human—and more memorable.

Artificial? I Prefer Intentional.

By Artificial Intelligence, Branding

AI has moved from buzzword to business backbone—especially in marketing. It’s no longer about whether you should use AI. The real question is how to use it in a way that’s intentional, strategic, and brand-aligned.

Let’s start with strategy. The biggest mistake brands make is diving headfirst into AI without a clear objective. Chasing trends or adding tools just to appear “innovative” leads to wasted time. Before implementing any AI platform or plugin, ask the right questions: What problem am I solving? What workflow am I improving? What value does this add for my team or my customers? If there’s no strategic purpose, it’s not the right tool.

Next: create, don’t copy. Yes, AI can write blog posts, generate ad copy, and automate email flows. But relying on it too heavily can lead to generic, lifeless content. The best brands don’t use AI to replace creativity—they use it to enhance it. Think of AI as your co-creator, not your ghostwriter. Feed it strong inputs, give it direction, and edit with intention. It can help you move faster, but it still needs a human to move smarter.

AI’s true superpower lies in personalization. With the ability to analyze massive datasets in real time, AI can surface insights and deliver content that feels hyper-relevant to individuals. From predictive product recommendations to dynamic landing pages, AI enables one-to-one communication at scale. But to do this effectively, you need clean data, clear segmentation, and a deep understanding of your audience. 

Then comes brand safety. AI is only as good as the data it’s trained on. If that data is biased, incomplete, or dated, the output can be misleading or even damaging. Marketers must carefully review AI-generated content and spot potential red flags. That means building internal guardrails, setting ethical standards, and involving real humans in the final approval process.

And finally: never sacrifice your brand voice. AI can imitate tone and syntax, but it doesn’t instinctively understand nuance, humor, or emotional timing. That’s why your AI tools should be trained on your content—your blog posts, your campaign copy, your customer support emails. Use your voice guidelines as prompts. Review outputs not just for clarity, but for character.

Done right, AI doesn’t replace creativity—it empowers it. It’s a tool, not a shortcut. A powerful accelerator that, when guided by strategy and filtered through a strong brand lens, can unlock new levels of efficiency, insight, and engagement.