In the final installment of our Future of Discovery series, we explore the macro shifts redefining how consumers find and connect with brands in an era of algorithms, AI, and infinite choice.

The way people discover brands is fundamentally changing. While Part One introduced the ambient landscape and Part Two mapped modern intent, Part Three looks at the macro shifts redefining how consumers will find and connect with brands over the next several years.

Over the next decade, more decisions about brands will take shape before anyone searches, visits a website, or even asks a question. As AI assistants pre-filter options and trusted communities determine what is worth passing along, brands face a critical new risk: recognition outliving relevance. Being a household name is no longer enough if you are absent from the curated shortlist surfaced by machines and human tastemakers.

In this report, we unpack four macro trends reshaping the discovery landscape: 

•  Curation Nation
  From Endless Feeds to Curated Sanctuaries:
  
  Exhausted by unprecedented volumes of content, people are suffering from decision fatigue. Rather than seeking more content, they are actively seeking better filters that reduce complexity and help them discover with confidence.
  
  • An overwhelming 75% of U.S. adults agree: “In a world of too much content, I trust smaller, curated spaces to help me find what matters.”
  • Discovery is migrating to three emerging curator types — lifestyle tastemakers building intentional communities, credentialed expert writers, and retrained machine feeds prioritizing original substance over clickbait.
    
• Serendipity as Savior
  From Predictive Feeds to Purposeful Surprise: 
  
  As discovery becomes hyper-personalized, people are feeling the limits of algorithmic precision. Systems designed to surface the “right” recommendations often trap people in endless loops of familiar tastes and routines. In response, surprise has become a prized form of discovery:
  
  • 74% of consumers say “stumbling onto something by accident feels more rewarding than being handed exactly what I asked for,” and 75% report being tired of social feeds showing the same types of content repeatedly. 
  • Consumers are now intentionally engineering serendipity through randomized digital rituals, analog retreats, and controlled risk-taking.
    
• The Hacker Initiative
  From Passive Scrolling to Active Algorithmic Training:
  
  People are acutely aware that algorithms and AI aren’t neutral pipes —t hey shape what gets seen, recommended, and bought. Rather than accepting these systems passively, people are learning how to influence them.
  
  • Over half of U.S. adults (53%), and 65% of Gen Z and Millennials, “actively try to train or change their feeds and algorithms” to surface better content. 
  • From job applicants embedding hidden prompts in resumes to users deploying gesture controls to tune streaming algorithms, people are turning recommendation engines into personal, malleable tools.
    
• The Life Stage Shift
  From Static Demographics to Routine Disruption:
  
  The more discovery relies on predictive personalization, the more disruptive major life transitions become. Existing feeds and AI assistants are optimized for who someone was yesterday—not who they are becoming tomorrow.
  • During major resets (moving, marriage, career changes, or having a child), people actively rebuild their discovery ecosystems, making them over 1.5x more open to trying new brands than the average consumer.

*For stat sources and more information see PDF download

Download the full report below.