Srijan Sanchar Foresight Telecom Insight Series
The Moving Locus of Value
Part 1. Value
Does Not Live in a Stage
Part 2. Why the
Most Shared Asset Earns the Least
Part 3. Where
Value Moves Next in Indian Telecom
October
2026
Telecom is an
industry of paradoxes. Its networks carry almost every digital service, yet
operators fear becoming "dumb pipes". Its towers are simple steel
structures, yet they earn steady returns for decades. Its standards are written
years before products exist, yet those who write them capture some of the
industry's richest rewards. This series offers one way to make sense of these
patterns and to anticipate where value will move next.
Part 1
begins with the smile curve, the familiar picture in which value is high in
design and branding and low in manufacturing. We argue that the curve's shape
is not fixed. When several products share a capability, whether design,
manufacturing or a customer relationship, value collects at that shared point.
Overlaying many products produces a composite smile curve with many
possible shapes. The classic smile is only one of them.
Part 2
tests this against telecom and finds that shared capability is not enough.
Value is created where a gradient is still open, where performance is
not yet good enough and rivals have not caught up. It is scaled by
shared capability. And it is kept only where someone holds control,
through ownership, licences, patents, lock-in or regulation. Basic connectivity
is the most shared asset of all, but its gradient has largely closed and
operators have little control over what flows across it. That resolves the
paradox.
Part 3
applies the model to Indian telecom in October 2026. It identifies 6G
standards, satellite-to-phone, site power and coordination across sectors as
live frontiers, and argues that power and energy at telecom sites is the
most overlooked of them. We publish a dated forecast to be checked in October
2028: that new value from site energy will grow faster than new value from AI
deployed inside Indian networks.
Value is created at the live frontier, scaled by shared
capability, and kept by control.
These ideas
build on decades of strategy research, which we acknowledge throughout. Our
contribution is a synthesis, a reading of telecom through it, and forecasts
that can be checked.
Around 1992,
Acer's founder Stan Shih drew a picture that has shaped industrial strategy
ever since. Plot the value added at each stage of bringing a product to market,
from research and design, through components and assembly, to branding,
distribution and service, and the line forms a smile. Value is high at the two
ends and low in the middle.
The lesson most
people took was simple: move upstream towards knowledge and intellectual
property, or downstream towards brands and customers, and escape the low-value
middle of manufacturing. Governments built industrial policies on it. Companies
outsourced factories and kept design and marketing.
Economists have
since measured the smile using international input-output data and firm-level
records. Richard Baldwin and Tadashi Ito found that, for almost all exporting
sectors and countries, the value added to manufactured exports has shifted
decisively from manufacturing towards services. Armando Rungi and Davide Del
Prete, studying more than two million European firms, found a U-shaped
relationship between a firm's position in the supply chain and the value it
generates.
Yet the same
literature shows the curve can change shape. Jim Huangnan Shen, Kent Deng and
Sarah Tang argued in 2021 that the smile can even invert when firms in
developing economies achieve high productivity in midstream stages and face low
entry barriers there. If the curve can invert, its shape is not a law. It
reflects how an industry is organised at a given time.
The smile
describes the chain of a single product. Real companies, groups and ecosystems
make many products, and those products often share capabilities: a common
design team, a common manufacturing platform, a common brand or a common
relationship with the customer. Once products share a capability, their individual
curves overlap and value begins to collect at the shared point.
•
Shared design. One insight, design language or
material innovation spreads across many products. The design end of the curve
rises because each improvement pays off many times.
•
Shared manufacturing. A platform rich in process
knowledge, tooling, automation and supplier relationships serves many products.
The valley fills, and the factory becomes an engine rather than a cost centre.
•
Shared brand or market access. One trusted
relationship with customers carries across many categories. Value shifts right
because the relationship, not the individual product, becomes the asset.
Using only three stages, design, manufacturing and branding, at least nine value shapes are possible depending on which capabilities are shared. Nine configurations of value across design, manufacturing and branding (schematic)
|
Configuration |
Shape |
What drives
it |
|
1. Common
design |
Value shifts
left |
One insight serves
many products |
|
2. Common
manufacturing |
Centre rises |
One platform
enables many possibilities |
|
3. Common
brand or market access |
Value shifts
right |
One relationship
carries across categories |
|
4. Design
plus manufacturing |
Strong left to
centre |
Product
platforms |
|
5.
Manufacturing plus brand |
Strong centre to
right |
Market-enabled
scale |
|
6. Design
plus brand |
Classic smile |
Manufacturing
outsourced to others |
|
7. All three
common |
Plateau |
Integrated
capability platform |
|
8. Portfolio
of products |
Emergent peaks |
Different
products sharing different nodes |
|
9. Deliberate
shift |
Peak relocated |
Architecture
redesigned on purpose |
The classic
smile is configuration 6. It is one outcome of one architecture, in which
design and brand are kept in-house and manufacturing is outsourced. It is not
the general rule. We call the landscape produced by overlaying many products
the composite smile curve.
Traditional
value-chain analysis asks how much value each stage adds. In a system of many
products, a more revealing question is how far an improvement at one point propagates.
A capability that serves one product adds value. A capability that serves
twenty propagates it.
Value tends to
concentrate where a capability combines five qualities:
•
Commonality: many products depend on it.
•
Reusability: the same capability serves product
after product.
•
Accumulated learning: experience builds up there
and compounds.
•
Leverage: an improvement there spreads to many
outcomes.
•
Difficulty of imitation: rivals cannot easily
copy it.
On this view,
the strategic unit of analysis moves from the product to the shared node.
1.
Which capabilities do our products, businesses or
partners already share?
2.
How many outcomes depend on each shared capability, and
is that number growing?
3.
Where does learning accumulate fastest?
4.
Which shared capability would be hardest for a rival to
replicate?
5.
Where could we deliberately create commonality so that
value begins to accumulate?
This idea
builds on a long line of strategy research. David Teece showed in 1986 that who
profits from an innovation depends on who controls the complementary assets
around it. Adrian Slywotzky described how value migrates from outdated business
designs to new ones. Carliss Baldwin and Kim Clark showed how product
architecture and modularity shape where value collects. Clayton Christensen
argued that attractive profits move to wherever performance is not yet good
enough. C.K. Prahalad and Gary Hamel located competitive advantage in core
competencies shared across businesses.
What we add is
a visual and analytical device, the composite curve, for reading where value
collects across many products at once, and a vocabulary of propagation for
explaining why.
|
Key
takeaways from Part 1 •
The
smile curve is real but not fixed; its shape reflects architecture. •
When
products share a capability, value collects at that shared node. •
Overlaying
many products gives a composite curve with many possible shapes. •
Ask
not where you sit in the chain, but where commonality could make value
accumulate. |
Value does not live in a stage. It migrates with architecture.
|
Term |
Meaning in
this series |
|
Smile curve |
A picture of
value added along a product's chain: high in design and branding, low in
manufacturing |
|
Composite
smile curve |
The value
landscape formed by overlaying many products that share capabilities |
|
Shared node |
A capability
used by many products, businesses or partners |
|
Value
propagation |
How far an
improvement at one node spreads across many outcomes |
|
Gradient |
The gap between
what a capability can do and what users need, while rivals have not yet
caught up; open when there is still room to improve and differentiate |
|
Amplifiers |
Qualities such
as commonality, reuse, learning and leverage that scale value from an open
gradient |
|
Control |
Ownership,
licences, patents, switching costs, network effects or regulation that keep
value in place |
|
Durable plateau |
A node that
keeps earning after its gradient closes because of control |
•
Abernathy, W. and Utterback, J. (1978). Patterns of
industrial innovation. Technology Review.
•
Baldwin, C. and Clark, K. (2000). Design Rules: The
Power of Modularity. MIT Press.
•
Baldwin, R. and Ito, T. (2021). The smile curve:
Evolving sources of value added in manufacturing.
•
Christensen, C. and Raynor, M. (2003). The
Innovator's Solution. Harvard Business School Press.
•
Foster, R. (1986). Innovation: The Attacker's
Advantage. Summit Books.
•
GSMA (2026). The Mobile Economy 2026.
•
Mathew, L. (2005). Value chain analysis of telecom
equipment industry: a study of co-opetitive models. IIM Bangalore.
•
Prahalad, C.K. and Hamel, G. (1990). The core
competence of the corporation. Harvard Business Review.
•
Rungi, A. and Del Prete, D. (2018). The smile curve at
the firm level: Where value is added along supply chains. Economics Letters.
•
Shen, J.H., Deng, K. and Tang, S. (2021). Re-evaluating
the 'smile curve' in relation to outsourcing industrialization. Emerging
Markets Finance and Trade.
•
Slywotzky, A. (1996). Value Migration. Harvard
Business School Press.
•
Teece, D. (1986). Profiting from technological
innovation. Research Policy.
•
Department of Telecommunications tower data, reported
by Business Standard (2026); tele.net, Greening towers (2026); 3GPP Release 21
timeline, IEEE ComSoc Technology Blog (June 2026).