The Value Gravity Model
A framework for understanding where economic value accumulates in an enterprise marketing stack — and why most AI investment is going to the wrong layer.
Assess your stack with the Gravity Scan →Enterprise AI investment is concentrating at the top of the stack. Value accretes at the bottom.
The past two years have produced a consistent pattern across enterprise marketing organisations. Budgets and attention are flowing to the top layer: AI copilots, autonomous agents, predictive attribution, personalisation engines. These tools are genuinely powerful — and the vendor marketing around them is genuinely compelling.
But the economic logic runs in the opposite direction.
"The durable value in an enterprise stack sits in the layers that are hardest to replace: the data infrastructure, the identity layer, the CRM architecture. These are the systems that accumulate switching costs over time. AI capabilities at the top of the stack commoditise fast — today's differentiator is next year's table stakes."
— Value Gravity Framework, IDADAY 2026This is not an argument against AI investment. It is an argument about sequencing. An organisation that builds AI capability on an underdeveloped data and identity foundation will encounter the gap at the worst possible moment: mid-migration, mid-renewal, or mid-M&A when the cost of the gap becomes visible and irreversible.
Value Gravity is the framework for mapping that gap before it becomes a crisis.
Three Layers. One Directional Force.
Economic value accretes downward through the stack. The higher the switching cost and integration depth of a layer, the more durable value it holds over time.
Three forces that determine where economic value lands.
The gravitational direction is not arbitrary. Three structural forces pull long-term value toward the base layer of the stack.
Switching Costs Accumulate at the Foundation
CRM, CDP, and identity systems accumulate years of data, integrations, and process dependencies. The cost of replacing them rises with every month of operation. AI tools at the top layer are far more portable — and vendors know it.
Capability Commoditises at the Top
Today's AI differentiator is next year's table stakes. The capability gap between leading and lagging AI tools closes within 12–18 months. Organisations that buy differentiation at the top layer discover that the advantage does not compound the way foundation investments do.
Integration Depth Determines Vendor Leverage
The more deeply a platform is embedded in data flows, workflows, and downstream systems, the more leverage it carries at contract renewal. Organisations that under-invest in foundation infrastructure often discover this leverage only when it becomes financially painful.
The evidence base for the framework.
Value Gravity is an original framework, but it is grounded in and consistent with findings from two significant bodies of external research.
Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI
McKinsey's research on enterprise AI transformation consistently points to the same bottleneck: organisations that fail to build robust data and technology foundations first cannot realise the value of AI investments made on top of those foundations. The capability exists; the infrastructure does not.
The Marketing Technology Landscape
The Brinker landscape now catalogues over 14,000 marketing technology tools. The majority of growth in recent years has been at the AI and application layer — exactly where Value Gravity predicts competitive advantage to be lowest over a 3-5 year horizon. The durable infrastructure layer has seen far less entrant activity precisely because switching costs are high.
Four patterns Value Gravity predicts — and organisations recognise.
The model is useful not because it is abstract but because it names patterns that enterprise marketing leaders encounter repeatedly. Four of the most common:
The AI project that cannot get clean data
A significant AI initiative — personalisation at scale, predictive lead scoring, agent-led outreach — is delayed or cancelled because the data foundation cannot support it. The identity layer is fragmented, consent records are incomplete, or CRM data quality is insufficient. The AI investment was real; the foundation was not ready for it.
The contract renewal with unexpected vendor leverage
At contract renewal, an organisation discovers that a platform it had classified as commodity infrastructure has become deeply embedded in data flows and operational processes. The practical switching cost is far higher than anticipated. What appeared to be a competitive market at procurement is not competitive at renewal.
The M&A separation that reveals the gap
A spin-off, carve-out, or acquisition requires the marketing technology stack to be separated or rebuilt under time pressure. The process reveals that the foundation layer — identity, consent records, data infrastructure — was never properly owned. The AI and application layers can be replicated in weeks; the foundation takes months and costs far more than anticipated.
The platform migration that takes three times as long as planned
A planned six-month platform migration extends to eighteen months. The application-layer migration — campaign logic, templates, integrations — was manageable. The data migration — historical records, consent signals, identity resolution, downstream CRM dependencies — was not. Value Gravity explains why: the foundation layer had accumulated complexity that was invisible until the moment it had to move.
What to do with this framework.
Value Gravity is not a prescription to stop investing in AI capability. It is a tool for making sequencing decisions with a clearer understanding of where long-term value is being built — and where it is not.
Three practical implications follow from the model:
Audit your foundation before your next top-layer investment. Before committing significant budget to AI capability or a new application layer platform, assess the maturity of the Commercial Foundation underneath it. A weak foundation does not prevent a top-layer investment — it determines how much value that investment will actually deliver.
Treat switching cost as a strategic asset. The switching cost embedded in your Commercial Foundation is a form of strategic durability — but it cuts both ways. For vendors, it is leverage. For you, it means that foundation decisions made today compound for years. They deserve disproportionate rigour at the point of selection.
Read M&A events as foundation stress tests. Mergers, spin-offs, and carve-outs are the moments when the true state of the Commercial Foundation becomes visible. Organisations that have invested in foundation maturity can execute these transitions faster and at lower cost. Those that have not discover the gap when it is most expensive to close.
Map your own Value Gravity.
The Gravity Scan is a three-week diagnostic that applies the Value Gravity framework to your specific stack — scoring maturity across 28 areas and identifying where to invest next.