Data liquidity gap
Organizations have never collected more and used less — a widening gap between the data they hold and the data that actually flows to where judgment happens.
Change driver · Updated July 2026
The shift ahead
From stored asset to stranded asset
For twenty years, the instruction was simple: capture everything. Making that data usable was supposed to come next. It rarely did.
Data now accumulates faster than the connective tissue that would make it useful. It sits in incompatible systems, departmental silos and vendor formats, technically owned but practically inert. Meanwhile, the decisions that need it — operational, financial, strategic — run on whatever fragment happens to be reachable.
The shift is not an interoperability project that better software will finish. It is the emergence of liquidity as the real measure of data value: not what an organization knows somewhere, but what it can move, combine and act on in time to matter.
Why it matters
Stored data is a cost. Liquid data is a capability. Most organizations are paying for the first and assuming they have the second.
The gap compounds silently: every new system, acquisition and tool adds volume faster than connection, so the fraction of usable knowledge shrinks even as the total grows.
And the stakes have changed. AI has turned data plumbing into strategy — models are only as good as the data that can actually reach them, which makes the liquidity gap the quiet ceiling on what automation and intelligence can deliver.
Possible futures this could enable
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01
Data flow becomes a legal right
Regulators stop waiting for markets to solve lock-in and start mandating movement — portability, access and sharing written into law.
Early signalThe EU’s Data Act, applicable since September 2025, gives users of connected devices a legal right to access and share the data those devices generate, personal and non-personal alike, and requires providers to remove the barriers that kept it captive.
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02
The unused majority gets priced
Boards start asking what fraction of collected data ever creates value, and manage the answer like the asset-utilization number it is.
Early signalAn IDC survey of 1,500 enterprise leaders, commissioned by Seagate, found 68% of the data available to organizations goes entirely unleveraged, with siloed collection among the top barriers.
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03
AI raises the price of bad plumbing
Agentic systems turn integration debt from an IT nuisance into a strategic constraint because autonomous tools inherit every silo they’re built on.
Early signalMuleSoft’s 2026 benchmark of 1,050 IT leaders finds half of deployed AI agents operating in isolated silos, and 86% of leaders warning that without integration, agents add more complexity than value.
Right now, collection still outruns connection.
Most organizations continue to solve the visible half of the problem — more storage, more dashboards, more tools — while the invisible half, the plumbing between systems, stays chronically underfunded because it never demos well.
The line that will matter is the line between owning data and being able to use it: leaders who treat integration as infrastructure, funded and governed like any other utility the organization cannot run without.
Watch what data is being asked to do.
The driver strengthens as expectations rise faster than liquidity: AI initiatives stalling on data readiness, decisions delayed waiting for numbers that exist but can’t be assembled, and regulators increasingly treating data flow as a right rather than a feature.
The question is not how much an organization knows. It is how much of what it knows can come to light in time.
This is one force among many.
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