Every day, an employee checks their emails, messaging apps, news feeds, and project management tools in a series of micro-sessions. Information overload is no longer measured solely by the volume of data received, but by the way this data arrives, in short and repeated bursts throughout the day. This phenomenon, sometimes referred to as information obesity, affects both the cognitive health of individuals and the performance of companies.
Digital Micro-Consultations and Cognitive Overload: The Forgotten Factor
Most analyses on information overload focus on total screen time. A study from Aalto University, reported in September 2026 by Fortune, adds a nuance that changes the understanding of the issue: frequent and brief checks are more predictive of the feeling of overload than the total time spent online.
The researchers describe an effect of “session sparseness.” Specifically, checking your phone twenty times an hour for a few seconds weighs more on cognitive fatigue than a continuous session of thirty minutes. The brain cannot fully re-engage in a task after each interruption, leading to a cumulative attention cost.
This data challenges traditional recommendations focused on reducing screen time. Limiting the overall duration of use without changing the frequency of checks is not enough to lighten the mental load. This aspect, the distinction between volume and fragmentation of attention, is still underexplored in corporate digital well-being policies. Additional resources are available at informationinflux.org.
Information Overload and Circadian Rhythm: Why the End of the Day Makes It Worse
A 2025 study published in Scientific Reports and cited by GoGray in September 2026 measured information overload in real-time using an experience-sampling protocol. The conclusion is clear: overload intensifies throughout the day, peaking in the late afternoon.
This result is explained by the interaction between physiological fatigue and information accumulation. In the early morning, the brain still has sufficient attentional resources to sort and prioritize. By the end of the day, these resources are depleted, and each new notification or email becomes proportionally more costly to process.
A Spiral Effect Between Fatigue and Overload
The study notes a circular mechanism: prior fatigue amplifies the feeling of overload, which in turn accelerates fatigue. This cycle makes the last hours of work particularly vulnerable to judgment errors and hasty decisions.
For companies, this data has a direct implication for work organization. Scheduling strategic meetings or complex decision-making at the end of the day, after hours of digital solicitations, amounts to asking for maximum cognitive effort when processing capacity is at its lowest.
Algorithmic Content and Digital Fatigue: The Role of Information Type
The frequency of consultation and the time of day are not the only factors at play. The type of content consumed plays a distinct role. Fortune reported in September 2026 on a study from Karabük University regarding the phenomenon known as “brain rot”: short, passive, algorithm-driven feeds are associated with specific cognitive fatigue.
What distinguishes this content is its self-sustaining nature. The algorithm continuously suggests videos or posts designed to maintain attention without active intellectual effort. The brain remains stimulated without ever engaging in deep processing, resulting in a form of exhaustion different from that caused by sustained intellectual work.
Passive Feeds vs. Active Reading: Two Distinct Fatigues
Reading a twenty-page report is tiring, but this fatigue comes with a sense of accomplishment and memory consolidation. Scrolling through an algorithmic feed for the same duration produces fatigue without cognitive return: no specific memory, no acquired knowledge, just a vague feeling of having “wasted time.”
This distinction has implications for managing information overload in the workplace. Internal communication tools that operate on a continuous feed model (cascading notifications, multiple channels) partially replicate this algorithmic logic. Limiting the number of active channels and grouping communications by time slots rather than broadcasting them continuously provides a concrete lever.
European Regulatory Framework and Digital Mental Health at Work
The regulatory dimension is evolving. The AI Act, gradually coming into effect, lays the groundwork for regulating automated systems in the workplace and could eventually frame the impact of digital tools on employees’ cognitive load.
Field feedback varies on this point. Some companies see these regulations as an additional constraint, while others find them a structuring framework for digital well-being policies they struggled to justify internally. The available data does not yet allow for measuring the concrete effect of these regulations on the information overload experienced by employees.
What Cognitive Sciences Bring to the Regulatory Debate
The studies mentioned earlier provide measurable criteria that regulation could integrate:
- The frequency of digital solicitations (number of interruptions per hour), more relevant than raw screen time for assessing cognitive load
- The time of day when the densest communications are sent, in relation to the circadian fatigue curve
- The share of passive algorithmic content in professional tools, an aggravating factor identified by recent research
Without precise indicators, regulatory obligations risk remaining declarative. The challenge for the coming years is to translate the results of cognitive science research into operational criteria for companies and regulators.
Information overload is not a uniform problem. Recent research shows that it depends on the fragmentation of consultations, the time of day, and the type of content. Acting on these three levers simultaneously offers a more precise framework than generic recommendations on “screen time,” and European regulatory developments could accelerate this targeted approach within organizations.
