Artificial Intelligence & Machine Learning
,
Next-Generation Technologies & Secure Development
How Silos Drain Time, Money and AI Value Across Modern Enterprises
There’s a problem bleeding companies dry. It costs more than ransomware, cloud expenditure and employee turnover that keeps HR up at night. Yet no one tracks it or measures it, leaving organizations unaware of how much it drains from their budgets each month.
See Also: Why HSMs Are Critical to Digital Asset Security
The source of that cost is the invisible walls between departments, barriers that are widely recognized but rarely addressed. A study by ACM Canada, “Working in Silos: Impact on Organizational Efficiency,” found that employees lose more than 20 hours each month because of these barriers. That equals nearly three full work days not spent innovating or serving customers, but spent searching for information that should take seconds to find, waiting days for responses from other teams or recreating work that already exists elsewhere in the organization.
These silos happen when teams operate like independent kingdoms, where marketing doesn’t know what sales is doing, engineering has no clue what customer support hears every day, and IT discovers six months too late that three different departments all bought their own artificial intelligence tools, none of which talk to each other.
What Silos Actually Cost?
Boards respond to metrics. A Glean study from July 2025 found that employees spend around two hours on redundant tasks and 1.7 hours answering the same questions repeatedly because information is trapped in repositories that don’t communicate with each other.
The impact quickly compounds. Analysis from Sinequa shows employees waste 5.3 hours every week waiting for colleagues to send information or recreating work someone else already completed. Researchers estimate that these inefficiencies cost U.S. businesses roughly $1.8 trillion each year.
In practice, this duplication happens quietly inside organizations. Different teams unknowingly tackle the same problems without realizing someone else already solved it last quarter. Engineering builds tools that another team already developed, marketing launches campaigns before the product is ready and finance runs analyses that sales completed days earlier but stored in a separate system where no one else can find them.
Ironically, many organizations already operate with tightly connected systems. Salesforce’s 2024 Connectivity Benchmark Report found that 72% of IT leaders describe their infrastructure as “overly interdependent,” yet 80% report data silos are still blocking digital transformation. This creates an interesting contradiction: systems may be technically linked, but the information inside them still cannot move freely.
The consequences appear in broader productivity trends as well. Australia’s Productivity Commission reported that multifactor productivity decreased by 0.5% between 2024 and 2025, while the Australian Industry Group found that labor productivity in Australia fell by 0.6% in the same period. Many factors influence productivity at a national level, but organizational inefficiencies such as silos remain one of the few contributors companies can actually control.
Managers in siloed organizations spend one to two full days each week coordinating between departments instead of leading strategy or developing their teams. They forward emails, schedule meetings just to get people in the same room and negotiate ownership of projects that should already be clearly defined. It is less leadership and more organizational babysitting dressed up in business casual.
Why Silos Form?
These coordination breakdowns rarely happen by accident. In many organizations, silos are built into the way work is structured. A 2024 study published in the Journal of Public Health Management and Practice found that while 95% of people want to reduce silos, 58% identified organizational structure and bureaucracy as the root cause. In other words, most employees recognize the problem, but the systems organizations rely on often reinforce the very barriers they are trying to remove.
Functional structures are a major contributor. Organizations structure themselves by function for the sake of clarity in accountability. Sales has its own leader, budget, and goals, while marketing has different leaders, budgets, and goals, and engineering, IT, security, and operations all become separate kingdoms with their own territories to defend. Departments are typically measured and rewarded based on their own performance rather than company-wide outcomes, which can make collaboration secondary when supporting another team means diverting resources from internal goals.
Technology decisions can deepen these divisions. According to Dataversity’s 2024 Trends in Data Management survey, 68% of organizations identify data silos as a primary concern. One reason is that teams are often allowed to select their own tools, which leads to fragmented systems across the organization. Marketing may rely on one CRM while sales uses another, engineering works inside its own project management platform and customer support operates on a separate system. Over time, information becomes trapped in systems that do not communicate with each other.
Culture can reinforce the problem as well. In some organizations, teams compete instead of collaborating and information becomes something to guard rather than share. The belief that “knowledge is power” encourages people to hold onto information, even though everyone is working for the same company with the same goals.
The 2026 Problem: AI Is Making Silos Worse
Organizations are no longer dealing only with traditional silos created by structure, tools or culture. AI is now amplifying those same forces and creating new ones faster than existing divisions can be dismantled. Sales may deploy one AI tool for lead generation, marketing adopts another for content creation, engineering relies on a different system for coding assistance, and customer service deploys chatbots from yet another vendor. Each tool may improve productivity within its own team, but collectively they create new pockets of disconnected knowledge, with teams optimizing locally while fragmenting the organization globally.
Harvard Business Review reported in September 2025 that AI is reinforcing functional silos rather than breaking them down because “departments adopt AI tools independently, generating fragmented gains that don’t add up to strategic impact and can even conflict with one another.” At the same time, the rapid growth of “shadow AI” is making the problem harder to manage. According to Netskope Threat Labs’ Cloud and Threat report, 47% of people using generative AI platforms access them through personal accounts that their companies do not oversee. This creates “shadow AI” systems that organizations cannot see, govern or integrate into the company’s knowledge base.
Every AI tool has the potential to become a silo. When key decisions and business logic are embedded in isolated AI interactions, knowledge becomes inaccessible to the wider organization. The outcome is accelerated fragmentation disguised as productivity.
What Actually Works?
One effective way to break silos is to organize teams around products or customer outcomes rather than departments. Cross-functional teams bring together a product manager, engineer, designer, marketer and security specialist with shared goals instead of separate departmental objectives. Platform engineering follows a similar principle by creating integrated teams that own outcomes rather than isolated activities, which changes the question from “did my department hit its numbers” to “did we deliver value to customers.”
Technology must support this collaboration. That means moving away from isolated tools and investing in platforms that allow data to flow across the organization. Analysis from Crest Infosolutions shows that unified content platforms can reduce the time employees spend searching for documents by 30% to 50%, returning hours to productive work instead of internal navigation.
But technology alone does not eliminate silos. Incentives shape behavior just as much as systems shape workflows. When sales are rewarded for deals engineering cannot deliver, conflict is embedded at the compensation level. True alignment requires measuring and rewarding shared outcomes rather than departmental victories achieved at another team’s expense.
Processes also matter. Making collaboration visible through rituals forces cross-functional interaction, whether that’s weekly standups with all stakeholders, quarterly planning that includes everyone, or shared dashboards showing companywide metrics rather than just departmental scorecards. The 2024 study “Breaking Down Silos in the Workplace” found that organizations implementing comprehensive silo reduction strategies report productivity improvements of up to 55%. At that scale, the impact is material enough to be reflected in financial performance, not just employee satisfaction scores.
Leadership ultimately determines whether these changes take hold. When a CEO asks, “What did engineering think about this?” during a sales meeting, it signals that cross-functional input is expected. When executives are evaluated on shared outcomes rather than departmental performance, behavior shifts across the organization because people tend to prioritize what leadership measures and rewards.
The Bottom Line
Silos are not inevitable, and they are not simply “how organizations work.” They are the result of choices. Leadership can design them into the organization or allow them to persist. Every time an organization structures around functions instead of outcomes, it reinforces silos. When teams adopt incompatible tools, those silos deepen. And every time organizations reward departmental performance over companywide success, they strengthen them. The question is no longer whether silos are expensive. They are. The real question is what organizations will do about them. In 2026, with AI speeding up fragmentation and shadow tools spreading unchecked, the organizations that dismantle silos will gain more than efficiency. They will outlast those buried under coordination failures and lost opportunities.
This article is part of “The Elephants in the Technology Room,” a seven-part series examining unspoken organizational crises destroying IT and cybersecurity teams in 2026. Part 2 will explore “Accountability Without Authority: Why CISOs, CAIOs and Technical Leaders Are Walking Away.”