How AI Can Hurt Your Brand

AI’s Blind Spot: Empathy

AI is often heralded as a marketing game-changer, enabling personalized content and data-driven decisions. But despite the some discussion of AI’s lack of empathy, the risks it poses to brand messaging are still underestimated. AI doesn’t understand how brand messages resonate emotionally with people—it sees patterns, not context. AI can’t truly attain empathy because it isn’t sentient. Its lack of human psychology may undermine your brand’s reputation, alienate customers, and reinforce harmful biases.

When Bias Backfires

Many marketers assume AI is an impartial, efficient tool—just code executing commands. But AI learns from data, and if that data carries biases, your AI will make biased decisions. These biased outcomes could lead to unintended consequences that harm your brand’s image.

Natalie Lambert, Founder of GenEdge Consulting, explains, “AI doesn’t understand fairness. It understands patterns. If those patterns are biased, your AI will reinforce those biases—and you may not even realize it until it’s too late.”

AI systems have already driven discriminatory ad campaigns and biased customer segmentation. Major brands have faced accusations of racism, sexism, and ageism—issues that often leave long-lasting damage once the public catches on. Without human judgment, AI can easily guide your brand into PR disasters.

Is AI Killing Inclusivity?

In today’s socially conscious marketplace, brands must uphold values of inclusivity and fairness. Yet AI, without human oversight, can undermine these efforts. AI doesn’t interpret the emotional impact of brand messages or customer experiences—it processes data without understanding. When that data reflects societal biases, AI replicates them, excluding or offending entire groups of customers.

If AI decisions clash with your brand’s core values, the fallout could be severe. Because AI operates in the background, you might not even notice the damage until it’s too late.

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Ethics on Autopilot?

Creating ethical AI requires more than just diverse data sets—it needs ongoing human oversight. Anya Cheng, Founder of Taelor.ai, notes that “without diverse data, your AI will never be truly fair.” But many companies overlook this critical point, favoring short-term efficiency over long-term brand health.

Auditing AI systems for bias should be non-negotiable, yet many marketers still see AI as a set-it-and-forget-it tool. This mindset is dangerous. The more brands rely on AI without proper checks and balances, the more likely they are to face backlash when AI-generated outputs marginalize or discriminate against customers.

The Price of Neglect

Monifa Porter, SVP at Shift AI of Mach49, issues a stark warning: “If you don’t audit your AI systems, you’re playing with fire. Once consumers realize that your AI-driven campaigns are excluding them—or worse, discriminating against them—it’s game over for your brand’s reputation.”

In the rush to adopt AI for its speed, efficiency, and personalized marketing, brands risk losing sight of the ethical implications. If left unchecked, AI can perpetuate systemic biases that conflict with your brand’s values, creating a disconnect between what your brand stands for and how it actually behaves in the market. When that happens, the damage can be swift and hard to recover from.

Is AI Hurting You?

The allure of AI’s capabilities is hard to resist, but marketers must remain vigilant. AI lacks the human psychology to interpret brand messages in a way that resonates emotionally with people. If your AI systems are left unsupervised, you’re putting your brand at risk—whether by reinforcing biases or delivering tone-deaf messaging that alienates your audience.

In the end, AI can only be as fair as the humans who oversee it. If you aren’t regularly auditing and guiding your AI systems, you could be heading toward a brand crisis.

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About The Author

Peter leads marketing and growth for Silicon Valley startups. His work has contributed to acquisitions including Flurry (Yahoo), Acompli (Microsoft), and Digital Chocolate (Ubisoft). He is the VP of Marketing at RunLLM, which created the world’s first AI Support Engineer. Founded by professors and PhDs from UC Berkeley, RunLLM is funded by Redpoint Ventures.

Peter has managed top brands such as The Sims at Electronic Arts and held executive leadership roles at Yahoo, including leading growth and monetization for all Yahoo Media properties and as GM of Flurry Analytics, where he helped increase revenue from $300 million to $500 million.

Peter holds a BS in Marketing and Finance from UC Berkeley’s Haas School of Business and an MBA from The Wharton School at the University of Pennsylvania.