“Information Overload” is a management, not an employee problem

Most of you do not suffer from a scarcity of information. You suffer from too much of it, kept in too many places, for too long, without enough clarity about what is current, useful, sensitive or safe to remove.

What we call “Information Overload” is often described as a personal productivity issue: too many emails, too many notifications and too many documents to read. For IT teams, however, the problem runs deeper. It reflects how information is created, classified, stored, shared, retained and eventually disposed of across the organization.

We have previously looked at why employees spend hours looking for documents. Difficulty finding a file is one visible consequence of a wider problem. Even when information can be found, employees may still have to decide which version is authoritative, whether it can be trusted, and whether they should have access to it at all.

More information doesn’t mean more knowledge

Digital tools have made it easier to create and distribute information at remarkable speed. A single project can produce email threads, chat messages, presentations, spreadsheets, recordings, scanned documents and multiple working versions stored across shared drives, collaboration platforms, business systems and personal folders.

The result is not simply volume. It is uncertainty. When ownership is unclear and systems are poorly connected, employees create copies because copies feel safer. Teams build their own folder structures. Old records remain beside active ones. Physical documents may follow an entirely separate process from their digital equivalents. Each local workaround is understandable, but together they make the information environment harder to manage.

This is why adding another repository or search tool rarely solves Information Overload by itself. Better search can help people locate content, but it cannot decide which information should exist, which version has authority, how long it should be retained, or who is accountable for it.

The hidden risk of keeping everything

Keeping information “just in case” can appear cautious. In practice, it often transfers risk into the future. Unnecessary information expands the material that must be protected, reviewed, migrated and searched. It also makes it harder to apply legal holds, respond to information requests, identify sensitive records and dispose of material consistently.

The Information Commissioner’s Office guidance on storage limitation states that organizations should not keep personal data for longer than it is needed, should set standard retention periods where possible, and should review, erase or anonymize data when it is no longer required. Its records management and security guidance also emphasizes classification, indexing and maintaining an information asset register so records can be managed, retrieved and disposed of accurately.

These are not housekeeping details. They are part of the control environment. If an organization cannot explain what it holds, where it is held, why it is retained and who is responsible for it, Information Overload becomes a compliance, security and operational resilience issue.

AI raises the stakes, but it does not change the fundamentals

Generative AI deserves a place in this discussion, although it is certainltyy not the whole story. It can accelerate drafting, summarization and analysis, which means organizations can create and reuse content faster than before. It can also make weak information practices more visible. An AI system working across duplicate, outdated or poorly governed content may retrieve material efficiently without resolving whether that material is reliable or appropriate.

The NIST AI Risk Management Framework places governance at the center of AI risk management, including clear policies, roles, responsibilities and documentation. For Information Management and IT teams, the practical point is simple: AI readiness starts with information readiness. Clean metadata, understood ownership, access controls and lifecycle rules matter before new AI capabilities are layered on top.

A more useful response to Information Overload

Reducing overload does not mean deleting information indiscriminately or forcing every business unit into one rigid structure. It means creating enough order for people and systems to distinguish information that has value from information that has simply accumulated.

Start with visibility.

Map the main repositories, record types and information flows, including physical holdings. Identify where duplication, unclear ownership and uncontrolled local storage are most common.

Define authority.

Agree which systems hold the official record for important processes. Make version status, ownership and access expectations clear enough that employees do not need to create defensive copies.

Manage the lifecycle.

Connect classification and retention rules to business, legal and regulatory needs. The goal is consistent action from creation and active use through archiving or secure disposal.

Improve access with context.

Indexing and metadata should help users understand what a record is, where it came from, whether it is current and how it may be used. The U.S. National Archives notes that metadata describes the content, context and structure of records and supports their appropriate management for as long as they are needed

Design around real work.

Policies and technology must reflect how teams actually create, receive and use information. Training, ownership and governance should be built into everyday processes rather than added as a separate administrative burden.

Control before complexity

Information Overload will not be solved by asking employees to organize themselves more carefully. Nor will it disappear when the next platform is introduced. It requires Information Management and IT to work together on the structures behind the employee experience: governance, classification, access, retention, digitization, retrieval and secure disposal.

That work may involve consolidating repositories, improving digital workflows, making physical records easier to track, or removing information that no longer has a defensible purpose. The right combination will differ by organization. What matters is treating the information estate as a connected whole rather than a collection of isolated systems and storage problems.

The objective is not to reduce information for its own sake. It is to make useful information easier to trust, easier to control and easier to act on. Once that is in place, employees spend less time navigating the noise, while the organization gains a clearer view of the information it depends on.

Are you struggling with information overload? Do you have archives you need to offload into storage, or digitize? Get in touch with one of our experts today.