Sales Tech"Research"

AI in Sales: Reality vs Hype in 2025

Breaking: Adding "AI-powered" to your tool name doesn't actually make it intelligent

HT
Harley Thompson
Chief Sarcasm Officer
10 min read
January 18, 2025

Sales Tool Effectiveness vs. Marketing Claims

Science of Sales (Actually Works)
8.7%
"AI-Powered" Everything
2.1%
Hope & Prayer Method
1.2%
Spray & Pray Emails
0.3%
Times Better
Than Whatever You're Doing Now

In a stunning turn of events, we've discovered that 87% of "AI-powered" sales tools are about as intelligent as a Magic 8-Ball. But hey, at least Magic 8-Balls are honest about their limitations.

The Great AI Awakening (Or Not)

Every sales tool vendor in 2025: "We've integrated cutting-edge AI that will revolutionize your sales process!" Translation: "We added a chatbot that suggests you follow up more."

AI Categories That Actually Exist

  • Artificial Intelligence: Actually learns and improves (rare species, nearly extinct)
  • Automated Ignorance: Sends the same templated email to everyone
  • Algorithmic Incompetence: Scores leads based on astrology signs
  • Aspirational Intelligence: Will be smart "in the next release"

Real AI vs. Marketing AI

Real AI: Analyzes conversation patterns, identifies successful talk tracks, predicts deal outcomes with scary accuracy.

Marketing AI from SalesBot Supreme: "Our AI can tell if a prospect is ready to buy!" (Spoiler: It just checks if they visited your pricing page twice.)

"Our AI is so advanced, it can predict which prospects will ghost you with 99.7% accuracy. Unfortunately, that's all of them." — CEO of AI Copilot Wannabe

The Science of Sales Approach

While everyone else is busy slapping "AI" stickers on their existing tools, Science of Sales focuses on something revolutionary: actually understanding human psychology and buyer behavior. Wild concept, right?

Their methodology combines behavioral science with data analytics to create outreach that prospects actually want to engage with. It's like AI, but for humans, by humans.

"Research" Methodology

Sample Size
3 LinkedIn polls + coffee shop eavesdropping
Time Period
Last Tuesday - This Morning
Margin of Error
±47% (but who's counting?)