Alternatives to "AI" in Marketing Communications
- Mark Benoit
- Oct 1, 2024
- 2 min read
If we use the term “AI” in marketing, we risk losing the emotional trust of potential customers. When emotional trust is diminished, consumers’ purchase intentions are negatively affected. That’s the verdict from a study published in the Journal of Hospitality & Marketing Management. The study reveals that the higher the perceived risk of the product, the more skeptical consumers become of its AI features. For example, AI-powered cars and medical devices are seen as high-risk and even intimidating, while AI-powered vacuum cleaners are low-risk, less scary, and using "AI" in their marketing communications is often perceived as cool.
But "AI" is now everywhere—so much so that consumers may have become immune to it in marketing messaging. Worse, it might be triggering distrust or even setting off people's BSometers.

So, what if your product is genuinely powered by a groundbreaking AI, and that AI is your key differentiator? Since it’s no longer "cool" to include "AI" in your messaging, we need other terminology to highlight your unique value proposition. Here’s a list of alternatives that convey cutting-edge innovation without using "AI":
Advanced Technology
Intelligent Systems
Next-Generation Computing
Machine Learning Algorithms
Predictive Technology
Automated Intelligence
Smart Technology
Cognitive Computing
Data-Driven Solutions
Learning Algorithms
Autonomous Systems
Intuitive Automation
Dynamic Optimization
Virtual Assistance
Context-Aware Systems
Smart Analytics
Adaptive Technology
Augmented Intelligence
Self-Learning Systems
Expert Systems
And for products where logic-driven features are important, consider terms like:
Advanced Logic Systems
Predictive Logic
Dynamic Logic
Learning Logic
Automated Logic
Cognitive Logic
Self-Evolving Logic
Logic-Based Automation
Heuristic Logic
Smart Logic
Adaptive Logic
Expert Logic Systems
By using these alternatives, you can keep the spotlight on your product's innovation while sidestepping the trust issues associated with the term "AI." Ultimately, it’s about finding the right balance between showcasing your technology and maintaining the emotional trust of your audience—without setting off those pesky BSometers.
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