Humor is one of the most powerful tools in advertising. It captures attention, fosters emotional connections, and, when done well, can make a brand memorable. But humor is also one of the most difficult elements for AI to understand and replicate effectively. The subtle nuances of timing, delivery, and cultural context often go beyond the capabilities of basic algorithms.

We all know a powerful ad when we see one. But how often do we stop to ask—did we feel it, or just recognize that we were supposed to?  A new neuroscience study offers a fresh lens on this distinction.

Modern AI models have begun to mirror the most complex system we know: the human brain. Large Language Models (LLMs) like Claude or GPT aren’t just glorified calculators. They're sprawling networks of digital cognition—structures so intricate, researchers are now using neuroscientific metaphors to understand them. 

As AI continues to evolve fast, the conversation is shifting more and more from efficiency gains to emotional and organizational impact. And it’s a shift marketing leaders can’t afford to ignore.

Generative AI has revolutionized how we create. From sleek product descriptions to compelling ad copy, AI-generated content is rapidly becoming the norm. But this surge in creation capability masks a deeper issue: generative AI often struggles to assess the very content it produces.

Artificial intelligence (AI) is everywhere. It’s revolutionizing industries, streamlining operations, and creating new business opportunities. But despite the widespread enthusiasm, only a fraction of companies are truly unlocking AI’s potential.

When Brainsuite first explored AI in marketing in 2019, the focus was clear: Predictive AI was the gold standard. It helped businesses recognize patterns, make forecasts, and make data-driven decisions. Industries like healthcare, maintenance, and advertising effectiveness all relied on predictive models.

In recent years, artificial intelligence has become a cornerstone of business innovation. However, many companies struggle to move beyond initial excitement to successful implementation. AI projects often start with great enthusiasm but fail due to unclear goals, lack of user adoption, or strategic misalignment.

Artificial Intelligence (AI) is reshaping industries by automating processes, enhancing decision-making, and creating new growth opportunities. Yet, AI alone doesn’t guarantee results—it’s how it’s integrated into your organization that really matters. According to BCG research, the true business value of AI emerges when both people and processes are primed for this transformation.