Beyond the Supply Chain of Intelligence™
Why Context May Become the Most Valuable Asset in the AI Economy
Earlier this year, I attended a webinar by Anand Arivukkarasu that introduced a framework I haven’t stopped thinking about since.
The Supply Chain of Intelligence™ changed the way I evaluate AI businesses.
Before that session, I looked at AI the same way many people still do today:
Who has the strongest model?
Who has better benchmarks?
Who ships faster?
But Anand’s framework introduced a more useful lens.
Intelligence isn’t created in isolation.
It moves through layers.
Resources. Infrastructure. Data. Models. Gates. Access. Execution. Orchestration. Surface. Memory.
Each layer transforms intelligence into business outcomes.
That framework explained where value is created.
But after thinking about it for months, another question started emerging:
What determines which organisations extract the most value from that supply chain?
My answer:
Context.
Not intelligence.
Context.
The Hidden Layer Missing From Most AI Discussions
Most conversations about AI assume that intelligence itself creates advantage.
But intelligence is becoming increasingly available.
Models improve.
Costs decline.
Capabilities spread.
Over time, intelligence becomes easier to access.
That means competitive advantage must move elsewhere.
Context may become that layer.
Because intelligence without context produces generic outcomes.
Context transforms intelligence into useful outcomes.
Two companies can access the same model.
One creates exponential value.
The other creates almost none.
The difference is rarely the model.
The difference is context.
Context Is the Operating System for Intelligence
Inside the Supply Chain of Intelligence ™, multiple layers already imply context.
Data provides context.
Execution provides context.
Memory provides context.
Orchestration provides context.
But context itself may deserve recognition as a strategic layer.
Context determines:
What information matters,
what actions are allowed,
what history exists,
what priorities exist,
and what outcomes should be optimized.
Without context, intelligence stays theoretical.
Three Types of Context That Compound
Operational Context
This includes:
workflows,
approvals,
business logic,
decision paths.
Operational context converts capability into execution.
Institutional Context
Organisations accumulate invisible assets:
past decisions,
internal language,
customer expectations,
cultural knowledge.
AI systems connected to an institutional context become dramatically more useful.
Behavioral Context
This may become the most powerful layer.
Behaviour reveals:
intent,
habits,
preferences,
and future actions.
Behavioural context turns prediction into personalisation.
Why Memory May Become More Valuable Than Models
One of Anand’s most interesting layers is Memory.
That layer becomes increasingly important the longer I think about AI systems.
Models generate.
Memory compounds.
Models answer.
Memory improves.
Models compete.
Memory differentiates.
Organizations with stronger memory systems may create advantages competitors cannot easily copy.
Because memory creates context.
And context compounds.
The Next Wave of AI Companies
The first generation of AI companies focused on creating intelligence.
The second generation may focus on distributing intelligence.
But the third generation may focus on owning context.
The strongest AI companies may eventually become:
context platforms,
workflow platforms,
memory systems,
orchestration layers.
Not because they generate more intelligence.
But because they make intelligence more useful.
The Question That Changed My Thinking
One thing I appreciated about Anand Arivukkarasu’s framework is that it pushes people to ask better questions.
Not:
“How smart is this AI?”
But:
“Which layer creates durable value?”
Building on that idea, I think there’s another question worth asking:
Who owns the context that makes intelligence valuable?
Because in the long run, intelligence may become abundant.
But context may remain scarce.
And scarcity is where value tends to accumulate.
Inspired by Anand Arivukkarasu’s Supply Chain of Intelligence™ framework and expanded through my own reflections on context, memory, and AI value creation.
