When Work Starts to Feel Heavier, Not Faster
Workplace tools were meant to make communication easier. Faster messages. Cleaner updates. Less effort. But something unexpected is happening. Work feels heavier for many teams, not lighter.
Eric Morrison is a User Experience Research Lead who studies how people interact with modern systems inside fast-moving product environments. His work focuses on how communication tools shape behavior, attention, and decision-making. Across different teams and workflows, he has observed a consistent pattern. When communication becomes too automated or too verbose, clarity starts to break down.
“The problem is not that people are communicating less,” he explains. “It is that they are communicating in ways that are harder to process.”
This article explores how automated communication can reduce clarity, increase noise, and slow down real understanding inside teams.
The Rise of Workslop and Message Overload
Modern workplace tools make it easy to generate long messages in seconds. AI writing tools, auto-summaries, and structured reporting systems all aim to save time. But they often create the opposite effect.
Recent workplace studies show that knowledge workers already spend up to 28% of their time managing emails and internal messages. When automated writing is added to the mix, message volume increases significantly.
This leads to what many teams now call “workslop.” It is high-volume communication with low real value.
Eric Morrison describes this pattern clearly. “When a simple idea becomes a long message, people stop reading carefully. They start scanning for shortcuts instead of understanding the content.”
The result is not better communication. It is more communication with less meaning.
The Cognitive Bottleneck Problem
Human attention does not scale the same way that text generation does. People have a limited capacity to process information at any given time.
This concept is well supported in cognitive science. The average working memory can only hold a small number of ideas at once before overload occurs. When messages exceed this limit, comprehension drops quickly.
In workplace settings, this shows up in simple ways:
- Messages get skimmed instead of read
- Important details are missed
- Teams rely on summaries instead of original content
- Decisions are made with incomplete context
One recurring issue is that automated summaries often remove nuance. A detail that seems small in a summary can be critical in the full version.
As Eric Morrison puts it, “When everything is summarized, nothing feels important enough to slow down for.”
The Circular Communication Loop
One of the most inefficient patterns in modern work is what happens when both sides of communication start using automation.
A typical loop looks like this:
- A person writes a short idea
- AI expands it into a long message
- The receiver reads a summary of that message
- The original idea gets reduced back to the beginning
The final result often looks similar to the starting point, but with added time, friction, and confusion in between.
This creates what can be called a circular workflow. Information moves, but understanding does not always improve.
Eric Morrison notes, “If the end result is the same as the starting point, the system is not adding value. It is just adding noise in the middle.”
When Alignment Becomes an Illusion
One of the most serious risks of automated communication is false alignment. Teams believe they are on the same page because they are using the same systems and seeing similar summaries.
But alignment is not just exposure to information. It is shared understanding of it.
In one common pattern across teams, important details appear in full reports but get dropped in summaries. Some team members read the full version. Others only see the shortened one. Both groups believe they are informed.
This creates uneven awareness inside the same organization.
A widely observed issue in workplace communication research shows that misalignment often appears only at the decision stage, when it is too late to correct the gap.
Eric Morrison explains it simply. “The system can make people feel aligned before they actually are. That is where the real risk shows up.”
Why Simplicity Outperforms Expansion
A key misconception in modern communication is that more detail equals better understanding. In reality, clarity often comes from reduction, not expansion.
Simple communication works better because it respects attention limits. It forces prioritization. It removes unnecessary noise.
Teams that focus on concise updates tend to:
- Make faster decisions
- Reduce misunderstandings
- Improve retention of key points
- Spend less time re-explaining context
There is also a psychological effect. Short messages are more likely to be read fully. Long messages are more likely to be skimmed or skipped.
Eric Morrison often emphasizes this point. “If something is important, it should be easy to understand. If it is hard to understand, it will not survive contact with real work.”
Practical Ways to Reduce Communication Noise
Fixing communication overload does not require removing tools. It requires changing how they are used.
1. Write First, Expand Later Only if Needed
Start with the simplest version of the message. Only expand if there is a clear reason.
2. Separate Information From Interpretation
Keep facts and summaries distinct. Do not mix them into a single long message.
3. Limit Automated Expansion in Core Updates
Use automation for support, not for replacing core thinking.
4. Prioritize Decision Clarity Over Narrative Detail
Focus on what was decided, not how it was described.
5. Encourage Reading of Original Context
Summaries should never replace source material in important decisions.
The Hidden Cost of Efficiency
Efficiency tools are designed to reduce effort. But when overused, they can increase downstream costs.
Those costs include:
- Time spent rechecking information
- Misunderstood instructions
- Repeated conversations
- Slower decision cycles
The irony is that systems designed to save time often create new layers of work.
Eric Morrison summarizes this tension clearly. “Speed is useful only when it leads to clarity. Without clarity, speed just multiplies confusion.”
Conclusion: Rebuilding Clarity in Modern Work
Work communication is entering a new phase. Tools can now generate more text than humans can reasonably process. This creates a new responsibility for teams. They must decide not just what to say, but how much to say.
The goal is not to eliminate automation. It is to prevent automation from overwhelming understanding.
Eric Morrison puts it simply. “Good communication is not about producing more information. It is about making sure the right information actually lands.”
In the end, the strongest teams are not the ones that communicate the most. They are the ones that communicate clearly enough to act without confusion.
