Part 1: The Attention Economy Through a Behavior-Analytic Lens

It shows up when I’m interviewing RBTs and new clinicians. It shows up during parent training. It shows up when staff are trying to problem solve in the moment during a session. People are having a harder time sustaining attention. As behavior analysts, we study how environments shape behavior. So this question keeps coming up for me: What kind of environment are we living in?

The Environmental Shift

For millennia, human children have lived a play-based childhood. Childhood years being spent outside, in the company of peers, exploring, playing, and learning. However, in 2010 we saw a shift from a play-based childhood to a phone-based childhood, monopolized by screen time, social media, smartphones, and the internet. Since 2010, we’ve seen this change impact every aspect of our children’s lives: the way they interact, their capacity for learning, and their happiness and well-being. Gone are the days of coming in when the streetlights come on, scraped knees, and beautiful made-up worlds of our imagination. It’s been replaced with snapchat predators, over-exposure to adult-content, and a waste of precious time that is childhood.

We have overprotected children in the real world and under-protected them in the virtual world.

The Design of the Attention Economy

Many would argue that this started with the internet or that COVID is to blame. The reality is that the advent of social media, handheld devices, auto-play, infinite scroll, and short-form content are the primary culprits.

These systems are not accidental. They are intentionally designed to keep users engaged for as long as possible. Algorithms continuously analyze browsing behavior and engagement patterns to deliver increasingly personalized content. The faster the content switches, the more emotionally stimulating it is, and the more closely it aligns with individual preferences, the more effectively it captures attention.

Short-form videos, which typically range from 15 to 60 seconds, create rapid context-switching between topics and emotional states. Combined with infinite scroll and auto-play features, the user rarely experiences a natural stopping point. The result is an environment that provides constant novelty, constant stimulation, and constant reinforcement.

From a behavior-analytic perspective, these platforms function as extremely powerful reinforcement systems.

Several mechanisms are at play:

Reinforcement density Short-form content delivers reinforcement at an extraordinarily high rate. Every swipe presents a new opportunity for entertainment, emotional stimulation, humor, outrage, or novelty.

Variable ratio schedules Much like a slot machine, users never know when the next highly reinforcing piece of content will appear. This unpredictability strengthens the behavior of scrolling.

Low response effort. Engagement requires almost no effort, just a flick of the thumb. When reinforcement is dense and response effort is low, behavior becomes highly persistent.

Stimulus control. Notifications, sounds, and visual cues act as discriminative stimuli that prompt engagement with the device.

Why This Matters

Together, these features create a high-density reinforcement environment. And environments like this shape behavior powerfully. When reinforcement is immediate, constant, and effortless, it changes our relationship with effort, attention, and delayed gratification.

Until recently, many forms of learning required sustained effort. Reading a book, solving a problem, building something, practicing a skill, these activities required persistence before reinforcement arrived.

But in environments where reinforcement is delivered instantly and continuously, tolerance for delay can weaken. The brain becomes accustomed to novelty and quick rewards. Over time, activities that require sustained attention and effort begin to feel unusually difficult.

As a clinician and business owner, I find myself thinking about this often when working with young professionals entering the field. Behavior analysis requires the ability to observe carefully, analyze patterns, predict behavior, and make thoughtful decisions in real time. These are executive function tasks that depend on sustained attention and cognitive endurance.

When people struggle to hold a problem in their mind long enough to analyze it, something important is happening, and it deserves our attention.

What comes next?

Understanding the design of the attention economy is only the first step. The more important question is what these environments are shaping over time.

If the modern digital world trains rapid switching, immediate reinforcement, and low response effort, what happens to our ability to tolerate cognitive effort? What happens to our capacity for sustained attention and productive struggle?

These are questions that extend beyond technology and into development, education, parenting, and leadership.

Environments shape behavior. The question is whether we are designing those environments intentionally.

In Part 2 of this series, I explore a concept that is at the center of learning and development but is increasingly absent in our digital world: productive struggle.

References

• Cowan, N. (2010). The magical mystery four: How is working memory capacity limited, and why? Current Directions in Psychological Science, 19(1), 51–57.

• Halford, G. S., Cowan, N., & Andrews, G. (2007). Separating cognitive capacity from knowledge: A new hypothesis.Trends in Cognitive Sciences, 11(6), 236–242.

• Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences, 105(19), 6829–6833.

• Ward, A. F., Duke, K., Gneezy, A., & Bos, M. (2017). Brain drain: The mere presence of one's own smartphone reduces available cognitive capacity. Journal of the Association for Consumer Research, 2(2), 140–154.

• Chiossi, F., et al. (2023). Short-form video platforms and prospective memory. (Study on context-switching and memory recall).

Inspiration for this series

• Diary of a CEO Podcast. Brain Rot Emergency: These Internal Documents Prove They're Controlling You.

• Jonathan Haidt – research and writing on childhood development and the shift from play-based to phone-based childhood.

Transparency Note

This series was written by the author. Artificial intelligence tools were used in a limited capacity to assist with editing, structural organization, and clarity of expression. All ideas, interpretations, and conclusions presented here are my own.