📄 Extracted Text (15,976 words)
An (Institutional) Investor's Take on Cryptoassets
December 24, 2017 • version 6'
John Pfeffer
Medium • • Linkedln
John Pfeffer is an entrepreneur and investor. In the 2000s, he was a London-based
partner at private equity firm Kohlberg Kravis Roberts, and in the 1990s, he was
Chairman of the Executive Board of leading French IT company Groupe Allium S.A.
Before that, he advised on turnarounds while with McKinsey in Europe and Latin
America.
IMPORTANT NOTICE: This document is intended for informational purposes
only. The views expressed in this document are not, and should not be construed as,
investment advice or recommendations. Recipients of this document should do their
own due diligence, taking into account their specific financial circumstances,
investment objectives and risk tolerance (which are not considered in this document)
before investing. This document is not an offer, nor the solicitation of an offer, to
buy or sell any of the assets mentioned herein.
Amidst the indiscriminate speculation, sensationalist and mostly misguided media coverage
and roller-coaster price volatility, this paper sets out to consider cryptoassets from the
perspective of a rational, long-term investor. As investors, we look for things that generate
sustainable, ideally growing economic rent—an economic surplus that will accrete to us. This
paper evaluates the extent to which cryptoassets offer the foregoing. It aims to assess the
potential future value of cryptoassets at mature equilibrium,2 on the assumption that they
develop successfully and achieve widescale adoption. By design, it does not dwell on the
significant risks that a given cryptoasset could fail, for technical, regulatory, political, or
other reasons. These risks are very real, and are well documented elsewhere. Temporarily
setting them aside allows for an objective analysis of the potential value of different kinds of
cryptoassets and their use cases.
I write not from the perspective of a trader, but from that of an investor who believes the long
term is easier to predict than the short term. The paper thus focuses entirely on long-term
equilibrium outcomes and investment strategy rather than short-term price movements. It
also assumes the reader has some familiarity with the topic.
Blockchain technology has the potential to disrupt a number of industries and to create
significant economic surplus. The open-source nature of public blockchain protocols,
Earlier versions of this paper were drafted beginning in June 2017.
2 The notion of mature equilibrium as I use it here is admittedly imprecise. Conceptually I mean once the
speculative phase has passed and (i) in the case of monetary store of value, once there is a mainstream,
institutional view that crypto is a core monetary store of value like gold is today and (ii) in the context of
infrastructure and applications, once markets are valuing cryptoassets based on significant realised user
penetration. The obvious analogy is the intemet. Internet penetration and internet-enabled businesses are
still growing today but growth is slowing. Today, large internet•enabled businesses are valued based on
financial ratios such as PEG and EBITDA multiples rather than clicks or eyeballs as was the case in the late
1990s. That's the end point I'm thinking about. For shorthand, let's assume 10 years from now.
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combined with intrinsic mechanisms to break down monopoly effects, mean that the vast
majority of this economic surplus will accrue to users. While tens or perhaps hundreds of
billions of dollars of value will also likely accrue to the cryptoassets underlying these
protocols and therefore to investors in them, this potential value will be fragmented across
many different protocols and is generally insufficient in relation to current valuations to offer
a long-term investor attractive returns relative to the inherent risks. The one key exception is
the potential for a cryptoasset to emerge as a dominant, non-sovereign monetary store of
value, which could be worth many trillions of dollars. While also risky, this potential value
and the probability that it might develop for the current leading candidate for this use case
(Bitcoin) would appear to be sufficiently high to make it rational for many investors to
allocate a small portion of their assets to Bitcoin with a long-term investment horizon.
We can break cryptographic token use cases into three broad categories:
I. Network backbone / Virtual Machine (e.g., Ethereum)
2. Distributed applications (Dapps)
3. Money, and in particular:
a. Payments
b. Monetary store of value.
I will start by looking at the first two use cases from a general perspective and then dive
deeper in analysing the largest current example of the first one, Ethereum. I'll then turn to a
discussion of the different functions of money, the potential for cryptoassets to perform them
and the implications for the value of such cryptoassets, including Bitcoin.
The economics and valuation of utility protocols
Use cases I and 2 can be grouped into what I call utility protocols. I will start with some
general observations on utility protocols and the implications for their network valuation at
equilibrium and then specifically consider the network value of Ethereum at mature
equilibrium.
General observations
A blockchain protocol is a database maintained by a decentralised consensus mechanism
operated by its nodes. Utility protocol tokens serve to provision scarce network resources:
the processing power, memory, and bandwidth necessary for maintaining the blockchain in
question. These resources have a real-world cost in terms of energy and the equipment
employed, and these costs are borne by the miners who maintain the blockchain by providing
computational services. The miners may be remunerated for their service with block
rewards, paid in protocol tokens, and/or transaction fees, paid in protocol tokens or some
other means of exchange. While protocol developers may claim that tokens are the basis for
other kinds of exchange among users and not just a means of allocating and paying for
computing resources, it is my argument that, at mature equilibrium, tokens will do no more
than allocate computing resource, with the exception of the special case of a cryptoasset that
serves as a monetary store of value.
A given protocol is analogous to a simplified economy. The GDP of such an economy would
be the aggregate cost of the computing resources necessary to maintain the blockchain, based
on the quantity of processing power, memory and bandwidth consumed, multiplied by the
unit cost of each. The token is typically the currency used to pay for those resources. The
total network value is analogous to the money supply M (i.e., all tokens in issuance), where
M = PQ/V; PQ (Price x Quantity) is the total cost of the computing resources consumed, V is
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a measure of how frequently a token is used and reused in the system (its velocity, V). The
value of a single token is therefore M/T, where T is the total number of tokens.
If a given utility protocol does not have a built-in mechanism, such as Ethereum's
GASPRICE, to ensure that the cost of using the network does not arbitrarily and sustainably
diverge from the underlying cost of the computational resources it consumes, one of three
things happens: (a) the token's price trades to a level such that there is no premium cost to
using the network (i.e., there is no economic rent); (b) the chain forks into a functionally
identical but less rent-seeking chains until any premium usage cost and economic rent on the
network declines to a level at which it is no longer worthwhile to arbitrage; (c) the protocol's
adoption is temporarily limited to the highest-value use cases until (a) or (b) occurs. In all
cases, the equilibrium result must be at or near marginal revenue = marginal cost for the
mining industry maintaining the blockchain in question, so that the token's value cannot
materially decouple from the underlying computing resource cost.
PQ, the cost of computing resources required to maintain a blockchain, is not only low
relative to the current network values being attributed to cryptoassets; it is also inflated by the
prevalence of proof-of-work consensus mechanisms, which mean that the vast majority of
computing resource consumed is make-work. To the extent that new scaling technologies
such as proof-of-stake, sharding, Segregated Witness, Lightning, Raiden and Plasma become
prevalent, the amount of computing resource consumed may become quite small. Note also
that in the context of cryptoassets, V could go very high at equilibrium. Even if a significant
portion of a given cryptoasset has a low velocity because it is being hodl'd by speculators or
because it is staked by miners under a proof-of-stake consensus mechanism, the circulating
portion of the tokens can circulate at the speed of computer processing and bandwidth—i.e.,
fast and accelerating. The implication is that average velocities can and are likely to be high,
regardless of how many tokens are actually actively circulating for utility purposes to allocate
network resources.' The combined effect of low and falling PQ and potentially very high V
is that the utility value of utility cryptoassets at equilibrium should in fact be relatively low.
Clearly, scaling solutions such as proof-of-stake, etc. are bullish for adoption/users but
bearish for token value/investors. Even without those technology shifts, the cost of using
decentralised protocols is deflationary, since the cost of processing power, storage and
bandwidth are deflationary. This is also bullish for adoption and users and bearish for token
value and investors?'
Whatever scaling solutions are developed, the inherent redundancy of the consensus
mechanism means that there may be fewer use cases than many decentralised revolutionaries
think in which a decentralised solution displaces a centralised solution. Use cases will be
limited to dematerialised networks where the value of decentralisation, censorship-resistance
and trustlessness is high enough to justify the inherent inefficiency and redundancy of the
consensus mechanism. Is it worth the cost for payments? Yes for some, but not for all.
Consider Twitter -- what is the added value to the user of a massively redundant, trustless,
3 Chris Burniske's recent blog post "Cryptoasset Valuations" (https://medium.comftacburniske/cryptoasset-
valuations-ac83479ffca7) estimates an average V of 7, after adjusting for hodlers, stakers, etc. This assumption
may be optimistic (meaning, it is probably a low value of V to assume at equilibrium and therefore an
optimistic number to be using to estimate the potential equilibrium value of a given cryptoasset), but his
framework is useful for thinking about the different drivers of V for a given cryptoasset.
I have yet to come across any examples of a protocol where I have been persuaded that when all is said and
done the underlying scarce resource being provisioned is something other than computing resources, or at
least where that is what it will boil down to at competitive equilibrium after competition in mining, forks, etc.
Please alert me to any counter examples you have seen or can think of.
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decentralised Twitter? Is that added value enough to offset its inefficiency compared to the
incumbent centralised Twitter? Would Token Twitter offer compellingly higher utility
compared to centralised Twitter, including enough surplus utility to offset the cost of
operating the consensus mechanism? I'm not so sure.
People often make the mistake of conflating the monopoly network effects of, say, Facebook
to blockchain protocols. This notion is fallacious on several levels:
• Blockchain protocols can be forked to a functionally identical blockchain with the
same history and users up to that moment if a parent chain persists in being arbitrarily
expensive to use (i.e., rent-seeking). Like TCP/IP but unlike Facebook, blockchain
protocols are open-source software that anyone can copy or fork freely. A protocol
fork is analogous to a team of Facebook developers who decide one Tuesday morning
that Zuck is not paying them enough; they could simply flip a switch and use the
servers and software that run Facebook to run a new Facebook that is functionally
identical, with all the same users and data up to that point. That can, does, and will
happen all the time in protocol-land, but would be theft in the context of private
companies that own their code, data, intellectual property, etc. Those property rights
are why Zuck is rich, and their absence in the protocol economy has profound
implications. The ability to fork protocols maximises utility for users but suppresses
economic rent for token holders.
• When people talk about the potential value of cryptoassets, they often refer to
Metcalfe's Law. Metcalfe's Law asserts that network value = - n(n-I), where A is a
constant that captures the differences in the economics built into the business model
of each network and where n is the number of nodes in the network. It's not enough
to focus on n(n-1). You must also consider what 0 is. Wikipedia has a lot of
contributors and users but not a lot of monetary value because it doesn't charge users
or have advertisers or attract any other sources of revenue apart from donations.
Facebook's 0 is higher than Twitter's because its advertising business model is
stronger. TCP/IP lacks financial value not only because no one owns it but also
because it doesn't have a revenue model. The problem for utility protocols is that the
in question is driven by the cost of the computing resources to maintain the
network, which is relatively low and deflationary and which must remain low for their
adoption to be successful vs. non-distributed technologies.
• When thinking about whether a protocol's token can capture and sustain economic
rent, what is relevant is whether the mining industry maintaining the protocol's
blockchain is competitive, not the stickiness of users. The mining industry supporting
any decentralised protocol must be a competitive market; otherwise the protocol isn't
decentralised. It is the economic competition amongst miners that will ultimately
drive the cost of using the protocol and therefore the value of the token. No
mechanisms for monopoly rents there.
• Not only must protocols compete against their own potential forks; competition
amongst protocols is also fierce. Witness, for example, recent press reports that Kik
is considering migrating its token network from the Ethereum backbone to another
blockchain because the Ethereum network is becoming too expensive to use.'
S
https://www.coindesk.com/kik-might-move-its-ico-tokens-to-a-new-blockchain/
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• The network value of a tokenised version of a dematerialised network business (a
social network, Uber, AirBnB, a betting exchange, etc.) will by construction be a
small fraction of the enterprise value of its centralised, joint-stock-company
equivalent. Holding the number of users constant, you basically take the fully-loaded
IT budget (including energy and a capital charge) of those companies (representing
PQ) and divide by some (likely high) velocity V. The disruption of traditional
networked businesses by decentralised protocol challengers will represent an
enormous transfer of utility to users and an enormous destruction of market value.
Great for users, the economy and society; bad for investors.
The next topic to address is the impact of a move to proof-of-stake mining and of staking
models in general on the network values of Ethereum and other protocols. The idea is that
miners are compensated for maintaining the network either in a native cryptoasset or another
cryptoasset (such as ETH or BTC), in proportion to the amount of the native network
cryptoasset that they stake (i.e., effectively put into escrow and at risk of loss if they attempt
to validate false transactions and the like). The promoters of this idea hope that it will
reduce the actual computing costs of maintaining the network, by eliminating the costly
proof-of-work mechanism, while at the same time creating an alchemic virtuous cycle
wherein miners buy and lock up significant amounts of the native cryptoasset as an
investment conveying them a right to a mining revenue stream, thereby reducing the velocity
of the native cryptoasset and causing its value to rise to a level representing some multiple of
their mining profits, much as taxi medallions or shares in a company are valued based on the
net present value of future cash flows.
Let's think through how this plays out.
First, before staking is introduced into the equation, we've established that forks and
competition in mining and among protocols lead us to an equilibrium outcome where PQ
equals the aggregate cost of the computational resources (capital charge on or usage cost of
processing and storage hardware, cost of bandwidth and energy) of maintaining the network.
Second, recall that the impetus for moving from proof-of-work to proof-of-stake is to reduce
the amount of computational resource and energy required to maintain the network by a
couple orders of magnitude. That's good for scalability and potential adoption, but also
means a commensurate reduction in the PQ of the network.
Third, let's layer on the idea that in order to participate in mining and the associated
revenues, on top of paying for processing power, storage, bandwidth and energy, you must
now bear an additional cost in the form of a capital charge from acquiring and immobilising
an amount of the native cryptoasset. This capital charge on immobilised cryptoasset is added
to PQ, making the protocol in question more expensive to use than an equivalent utility
protocol that doesn't require staking (or where staking is less expensive because the native
cryptoasset is cheaper).
This system operates a bit like a taxi medallion system: an authority issues a finite number of
licenses, and you must buy one from another medallion holder if you want to operate a taxi.
The value of the license captures the discounted value of any economic profits that are
expected to accrue from operation. Whoever owned the license first is the primary
beneficiary of this monopoly, and he receives that value when he sells the license to
someone. The buyer of the license does not enjoy any economic rent because he paid the
discounted present value of it to the previous license holder, and so on as the license changes
hands. Passengers pay higher fares because the taxi driver's capital cost of buying the license
must be compensated for, all for the benefit of the first owner of the license.
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Imagine there are several different taxi companies operating that have acquired a number of
licenses. Now imagine that a new entrant decides it would like to take market share. In the
world of a taxi medallion monopoly created by an issuing public authority, they would have
no option other than to buy medallions from other medallion owners. But here is where
protocol-land is different from real-world taxi medallion schemes. Protocols are open source
software and can be freely forked.
In protocol-land, all the upstart taxi company needs to do is to fork the protocol, effectively
issuing an identical number of new taxi medallions and reallocating medallions owned by
existing large taxi companies to itself and perhaps a few other friends. Because the upstart
taxi company didn't have to pay for its taxi medallions, it and the other recipients of the new
medallions can charge its passengers lower fares. Passengers thus flock to the upstart
company, and the monopoly value embedded in the original taxi medallions vanishes.
Everyone in the system except for the large taxi company wins. If necessary, this process can
be repeated indefinitely. The result is that the medallions have low values (as would the
analogous native cryptoasset).6
Another mechanism for utility protocols is mine and burn. In this system, new coins are
minted and allocated to miners based on the network services they provide, and users must
buy these coins and burn them to pay for transaction processing. This is a perfectly fine
mechanism, but it simply ensures that the network value equals PQ/V, where PQ is the actual
fiat cost of maintaining the network and V is the average time from minting to burning. That
gets you to the same low equilibrium network value more simply and quickly.
Other general observations:
• Analysts often use a working capital analogy in order to assess how much of a given
cryptoasset a user will stock to facilitate actual use of a given blockchain's utility
function. Fair enough, but digging further into that line of thinking, the way optimal
inventories of a good are set is based on the relationship of the volume and volatility
of demand, optimal order sizes, communication and delivery latency and production
times. Since cryptoassets are generally highly divisible and may circulate very fast
(as fast as processor speed and bandwidth allow), it would seem to me that a user
would, by the same maths as those used to determine optimal inventory quantities,
conclude that he needs to hold very little inventory of a given cryptoasset. Friction
moving among cryptoassets is already low and will quickly disappear entirely with
technologies like atomic swaps. Consequently, one would expect velocity to be very
high at equilibrium. It would make no more sense for users to hoard utility
cryptoassets beyond the minimum they need to carry out their desired operations than
it would be for individuals to hoard petrol or for companies to hoard giant warehouses
full of whatever goods they sell. Companies need inventories of goods to run a
business and those inventories have a value on their balance sheet, but they try to
minimise such holdings, as they are unproductive assets that are costly to finance and
carry. They certainly don't try to accumulate more inventory than necessary as a way
to store their retained earnings. Similarly, individuals have petrol in the tanks of their
cars, but they don't stockpile petrol in their basements as a form of savings.'
6 The competitive forces to eliminate economic rent would function in largely the same way whether the
staking system involves payment for services in cryptoassets that are native or external to the protocol at
hand.
7 See also Vitalik Buterin's recent blog post: "On Medium of Exchange Token Valuations"
(http://vitalik.ca/general/2017/10/17/moe.htmil
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• For every successful utility protocol (certainly for every successful Dapp), there will
ben failed versions. In fact, one of the advantages of the protocol economy is that it
facilitates open and inexpensive experimentation, which will mean that there will be
many more attempts and many more failures, and that each success will be
individually smaller in its value and reach. The open-source, forkable nature of this
kind of software will likely drive toward a fragmentation of use cases and protocol
functionality; businesses built on top of the protocols will be protocol agnostic and
capable of using and combining modularly a changing array of protocols to deliver
whatever service or value chain they are trying to deliver. These dynamics are great
for users and generate lots of positive economic and social externalities, but they are
bad dynamics for investors.8 The problem of making money by investing in utility
protocols is aggravated by: (a) the fact that this is a fragmented space with very high
failure rates, so selecting winners a priori will be very difficult; and (b) the fact that
most of the long-term winning protocols probably haven't even been launched yet
(witness the fact that the most valuable internet businesses were founded after 2001).
• Developer incentives over time are a fundamental issue in crypto. For most protocols,
such incentives are heavily front-ended around launch and insufficiently provided for
over time. The more ambitious and long-term a protocol's development roadmap is,
the more problematic this failure of incentives becomes. The incentives to improve
an existing protocol by forking it may be strong if some tokens are reallocated at the
fork to the developers making the improvements. For example, where tokens have
been retained by a foundation linked to the original protocol developers, an aggressive
group of forking developers could reallocate the foundation's tokens to their own new
entity in their fork, leaving all other users in the same position and letting the market
decide which fork to support. The incentives for a developer to create a new,
competing protocol are also strong, but network effects do make it harder to displace
an existing protocol than to improve or fork it. Miners and perhaps large users have a
strong economic incentive to invest in development of the protocol they are mining
either through changes to the protocol or by forking it. The foregoing suggests that
we're likely to see (a) more success with protocols focused on simple use-cases that
require less ambitious future development; (b) future protocols launched with better
long-term developer incentive schemes (easier said than done)9; (c) aggressive forks
that transfer value from incumbent to challenger developers1); and (d) large
miners/users or groups of miners/users acting together employing or paying
developers to improve legacy protocols either directly or via forks.
The implication of this section is not that utility protocols won't have any network value.
PQN does represent positive value. The implication is that network value of a utility
See also Teemu Paivenen's blog post "Thin Protocols" (httos://blotzeppelin.solutions/thin-protocols-
cc872258379f).
g Tezos proposes an interesting potential solution to the developer incentive problem. Tezos combines a PoS
consensus mechanism with a system whereby token-holders can vote on improvements to the protocol
proposed by developers and reward the developers for their contribution. We'll see if it works, but the
problem for Tezos remains that the mature equilibrium value of the Tezos token will be Trews = PQ/VM where
PQ is the cost of the computing resource maintaining the Tezos blockchain, i.e., Tiezos probably won't have a
high value when the dust settles.
1D See also Fred Ersham's blogpost "Accelerating Evolution through Forking"
(https://medium.com/OFEhrsam/accelerating-evolution-through-forking-6b0bba8Sa2ba)
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protocol will converge on or near an equilibrium, where it is a fraction (denominator V) of
the actual cost of the computing resources consumed to maintain the networks.
For a fork to succeed, there needs to be enough value available to arbitrage to incentivise
users, some miners and a sufficiently credible developer group to support the fork. It should
therefore be acknowledged that, to the extent the equilibrium outcome is arrived by way of
one or more forks, there could be a sustainable level of network value economic rent
premium above computing cost that is too small to provide adequate incentives for a fork to
succeed. I would not, however, consider it to be a very compelling investment thesis when
the best I can hope for is to keep an amount of value corresponding to an economic rent that's
too small for anyone to bother arbitraging it away from me despite relatively low barriers to
doing so. While a protocol's core development team may be bound by various soft ties, in
protocol-land (unlike in a traditional software business), the work product is all open-source;
intellectual property isn't generally owned or protected; and developers have little or nothing
in the way of contractual ties or limitations (e.g., no non-compete, no non-disclosure, no non-
solicit). That means developers can defect or take the work of others. At a minimum, these
factors place a low ceiling on how much economic rent can be created and sustained."
As illustrated in the ETH valuation example to follow, it is likely that the combined network
values of all utility protocol cryptoassets together will total between tens of billions and
hundreds of billions of dollars. That is significant value, but not when compared to the
current -$250 billion combined network value of protocols other than Bitcoin. Investing in
utility protocol cryptoassets could make sense if their current network values were one or two
orders of magnitude lower than they currently are, but at current valuations, the risk/return to
investors is not attractive.
The Network Value of ETH
ETH, the Ethereum token, is an interesting case to explore because of its significant current
network value and Ethereum's potential as the ultimate utility protocol. Ethereum could
serve as the backbone for processing smart contract operations for (hopefully) untold
numbers of decentralised applications, DAOs, etc., and perhaps one day maybe even
something like the fabled Ethereum Virtual Machine (EVM).
Ethereum's developers understood that for Ethereum to fulfil its potential, the cost of using it
as a smart-contract-executing utility must be as low as possible and must not depart at
equilibrium from the actual cost of the computational resources consumed. To ensure this
will be the case, they built the GAS mechanism into Ethereum to decouple the use of the
network (and the cost thereof) from the value of the ETH token.
Each possible type of computing operation has a pre-defined GASCOST, measured in units
of GAS. GAS may then be paid for using ETH (or another token or currency) based on the
GASPRICE `exchange rate', which is freely set among users and miners.12
11 An interesting business idea that someone could logically pursue at some point would be to raise capital to
fund a crack team of mercenary blockchain developers and systematically target technically-mature or
maturing protocols where there is still a significant economic rent premium and arbitrage that value via hostile
forks of those protocols in a way that reduces cost and/or improves functionality to users and reassigns
network tokens held by the incumbent developer team and backers to the insurgent team and backers.
12 Note that because GASPRICE is fully-flexible, GASCOST might only need to be updated in the system from
time to time if and to the extent the relative cost of certain sub-components of computing costs changes, for
example the cost of processing power vs storage.
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The Ethereum Homestead Documentation makes this all clear:
"Gas Price is how much Gas costs in terms of another currency or token like Ether.
To stabilise the value of gas, the Gas Price is a floating value such that if the cost of
tokens or currency fluctuates, the Gas Price changes to keep the same real value. The
Gas Price is set by the equilibrium price of how much users are willing to spend, and
how much processing nodes are willing to accept '3." (Ethereum Homestead
Documentation Release 0.1, p49)
"Gas and ether are decoupled deliberately since units of gas align with computation
units having a natural cost, while the price of ether generally fluctuates as a result of
market forces. The two are mediated by a free market: the price of gas is actually
decided by the miners, who can refuse to process a transaction with a lower gas price
than their minimum limit." (Ethereum Homestead Documentation Release 0.1, p68)
This is all logical in the sense that GAS, and by extension the ETH token itself, is a metering
device meant to ensure correct economic allocation and remuneration of the network's
resources. In the long term, the GASPRICE (and through it the value of ETH) should
therefore tend toward the actual marginal cost of computing resource on the network. It
could not possibly be otherwise, since if the cost of running operations on the Ethereum
blockchain became materially more expensive than the actual underlying cost of computing
resources consumed by it, people would simply use another blockchain where that premium
doesn't exist (or fork to create a cheaper Ethereum network that has identical functionality
and users at that moment)? Also, if the GASPRICE were to decouple sustainably from the
actual computing cost of operations, then mining would be the only perfectly competitive
industry in history to earn sustainably positive economic rent. There is no reason for this to
be the case in an industry where capacity can be freely added and withdrawn and the market
price freely set.
Since the value of ETH is decoupled from GAS and therefore from the volume of
transactions on the Ethereum protocol, an ETH bull could argue that ETH tokens could have
an arbitrarily high value without compromising the cost-efficiency of operations on the chain.
But let's first agree that because of the GASPRICE mechanism14 the volume of transactions
on the ETH blockchain and the scale of its adoption are not transitive to a high ETH token
value. This point is important as observers often erroneously assume that a high volume of
network transaction volume driven by all of the different potential uses of the Ethereum
protocol will necessarily give the ETH token high value.
Let's work through some numbers to see what in fact the utility value of ETH might be.
Ethereum GDP (i.e., PQ) is the total `revenue' of the computing network performing the
13 Today in practice it seems that the vast majority of transactions use the default 0.02 microETH price, but
that most likely reflects the incipient nature of activity on the network. GASPRICE can be expected to become
more market-driven as use of the Ethereum network grows. From a basic microeconomic perspective, if the
GASPRICE (in fiat terms converted via the GASPRICE to ETH exchange rate and the fiat value of ETH) exceeds
from time to time the actual fiat cost of providing the requisite computing resources, you would expect users
to reduce GASPRICE offered or miners to add competing computing resources to the network until the
marginal cost again equals the marginal revenue, driving a decline in the GASPRICE. This relationship should
hold no matter what the scale of the operations being performed on the blockchain. The market will just keep
allocating more computing and storage resources to the network as long as it is profitable to do so.
14 Note that the GASPRICE mechanism helps to reduce the incentives to fork the chain because economic rent
can be eliminated quickly through it without necessitating a fork. Protocols without a GAS mechanism can be
expected to end up at a similar economic equilibrium through forks as Ethereum will reach through the GAS
mechanism. Ethereum may still fork for other reasons.
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underlying operations, which can be directly measured as GAS used multiplied by the
average GASPRICE. On 23 December 2017, the total amount of ETH used to fuel (pay
miners for) transactions on the Ethereum network was ETH 1,388 (derived from the total
GAS used's multiplied by the average GASPRICE that day16)17. ETH 1,388 is worth about
$1 million at $700 per ETH. Annualised (simplistically multiplying by 365), this is about
$355m per year.
We can then play with different assumptions for how fast the Ethereum network will grow vs
the declining computing and energy costs. For example, let's assume Ethereum network
traffic grows from here at the same rate internet traffic grew from 1995 to 2005 (roughly
150% growth per year)'8 and that the combined offsetting impact of declining computing
costs is -20% per year (optimistic as this approximates only the effects of the average rate of
decline in computing costs without a change in the consensus mechanism; implementation of
proof-of-stake or other scaling solutions could represent a step change down in the computing
costs of the network by orders of magnitude). The combined net effect would imply
`Ethereum GDP' (PQ) doubles each year. At this rate, Ethereum GDP would grow from
$355 million to $363 billion in ten years, an over thousand-fold increase. If we assume an
ETH velocity of 7, the network value of ETH would be $52 billion in 10 years, about 24%
less than its current network value of approximately $68 billion. Of course, in order to
provide an attractive return to investors buying ETH today, its current network value would
have to be significantly lower than $52 billion (assuming investors would expect to make a
30 - 40% annual rate of return over that period, the current network value would need to be
in the range of $1.8 - 3.8 billion).
The foregoing calculation implicitly assumes that GASPRICE is already set at the level
where miners are making zero economic rent and that Ethereum does not change its proof-of-
work system, for example to proof-of-stake. As it's early days for Ethereum and mining
computing resources are still catching up with demand, miners are probably still temporarily
making positive economic rent, which means this back-of-the-envelope calculation in fact
overstates PQ even if proof-of-work is maintained. More significantly, if Ethereum
successfully moves to a proof-of-stake mining system and thereby substantially reduces the
computational inefficiency inherent in proof-of-work where 99% of the computing power
goes to proof-of-work and only a very small portion to actually maintaining the ledger, the
PQ of the blockchain would fall massively and along with it the Ethereum network value.
Recall also the analysis in the previous section explaining why staking of tokens for mining
under proof-of-stake won't allow Ethereum to sustain a network monopoly premium.
Another way to look at this is to relate the Ethereum GDP to the total revenue of Amazon
Web Services. AWS total revenue in 2017 is estimated to be $16.8b, growing to $40b in
2021 (according to JP Morgan), an order of magnitude smaller than our 10-year estimation
for ETH GDP in the previous paragraph. If the velocity of ETH is 7, the Ethereum GDP (PQ
of computational resources running the network) would need to reach approximately $476
billion or 28 times AWS' current revenue to justify its current network value and excluding
any return on investment during the years while Ethereum grows to reach that scale. Now, of
course, AWS is just one provider of cloud services, but Ethereum is just one blockchain.
Even if we assume that Ethereum will have some greater market share of blockchain than
https://etherscan.io/chart/gasused
https://etherscan.io/chart/gasorice
17 On 23 December 2017: GAS Used 41,686.74 million x Average GASPRICE 0.000000033285710975 ETH =
1,388 ETH.
https://blogs.cisco.com/so/the-historv-and-future-of-internet-traffic
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AWS has of cloud, it is still hard to see how the current Ethereum network value can be
remotely justified on this basis.
Note that in my reasoning about the future value of ETH at equilibrium, I have so far not
taken into account the mined tokens that miners receive for performing computational
services for the network as that value does not accrue to token holders. Rather the opposite.
There are in fact two negative impacts of mining rewards on the value per token:
• Issuance of new tokens doesn't increase the total network value, just as
printing fiat money doesn't make people collectively richer in real terms. The
new issuance goes to the miners at a one-for-one cost of dilution spread across
the value of all pre-existing tokens. This must also be true for the interest rate
(BIR) paid on ETH tokens deposited in a proof-of-stake system. The new
tokens generated to pay the interest dilute all existing tokens such that the
effect on the overall total value of ETH tokens is neutral. Those engaged in
mining will benefit from the interest earned while those not engaged in mining
will suffer from the corresponding dilution. But the existence of this system
does not drive growth in the network value of ETH and in fact drives
devaluation of each ETH token at the rate of total interest paid in ETH divided
by the total issuance of ETH.19
• There is a second, subtler negative effect of this new token issuance. It
subsidises the cost of operating the network, which at competitive equilibrium
puts downward pressure on GASPRICE, which in turn puts downward
pressure on the value of ETH at a constant GAS <> ETH exchange rate.
The paradoxical combined effect is that the cost of new token issuance through mining
rewards is effectively borne twice by non-miner token holders.
The implication of all of the foregoing is that, even if Ethereum is hugely successful, the
value implied by its use as a backbone utility protocol is likely a small fraction of its current
value. All of this raises a question for ETH bulls: why would ETH be arbitrarily valuable if
it's not some scarcity in relation to the volume of transactions and operations on the chain?
One proposed reason has been that people will hoard ETH as a currency with which to make
financial investments, for example in ERC20 token ICOs or DAOs built on the Ethereum
protocol. In his blog post "Platform Currencies May Soon Be Obsolete" 20, Aleksandr
Bulkin articulates why it is unlikely that a single blockchain will host a large number of
Dapps and at the same time function as a major monetary store of value. Also, if utility
protocols turn out to be poor financial investments as the foregoing analysis suggests, how
much investment demand will there be? Finally, in a frictionless, multi-protocol future, why
stockpile a particular token specifically to make a particular type of investment rather than
store your value in the best pure store of value protocol (or in productive investment assets)
and acquire the amount of ETH or any other currency for a particular purpose (including a
subset of investment purposes) at the time of need?
So that leaves the possibility that ETH replaces Bitcoin and becomes the dominant non-
sovereign monetary store of value simply on pure store-of-value merits. We'll go deeper into
the topic of monetary store of value below, but from where we are today, an objective
observer would give Bitcoin significantly higher odds than ETH of becoming such a store of
value. And as for those who argue that you can recreate Bitcoin on top of Ethereum, the
19 Vitalik Buterin
Incentives in Casper the Friendly Finality Gadget (v 27 August 20171, p6.
Aleksandr Bulkin https://blog.coinfund.io/platform-currencies-may-soon-be-obsolete-78d9b263d902.
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question is, why would you? Why substitute a new sub-token on top of a more complex
protocol with a larger attack surface, shorter track record, less decentralised governance and
propensity to make backwards incompatible protocol changes, for a hugely robust, stable,
proven, and widely accepted protocol that already performs that narrow function very well?
Cryptoassets as Money
Money is a debt ledger with three sub-functions:
I. Store of value
2. Means of payment
3. Unit of account.
Cryptocurrency's performance advantage over incumbent forms of money is (a) strongest and
most obvious as a monetary store of value; (b) stronger for some, but far from all, payments;
and (c) differentiated as a unit of account for a few select purposes.
Cryptocurrency is overwhelmingly better as a monetary store of value than, say, gold. (I
won't enumerate the reasons why, as it's pretty intuitive and has been written about widely.)
As a means of payment, it can perform better than incumbent technologies in specific
instances (think international payments), but Visa, Apple Pay, Google Pay, PayPal and fiat
currency work well and better than cryptocurrency for most day-to-day payments. As a unit
of account, a non-sovereign cryptocurrency could be most useful in international trade, global
commodity markets, foreign reserves, and jurisdictions with unstable domestic currencies.
Before addressing the question of how to think about valuing the payment and the monetary
store of value functions of a cryptocurrency, I'll first examine the link between payments and
monetary store of value. Many observers presume this link to be very strong, but the reality
is more nuanced.
First, let me draw a distinction between a monetary store of value and a run-of-the-mill asset.
A monetary store of value is characterised by having a value that is decoupled from its utility
for other purposes and from the cost of making/extracting and storing it. A warehouse full of
goods, a stockpile of copper and a tankful of petrol are all assets and have value (determined
by the market at the equilibrium point where their marginal utility meets their marginal cost
of manufacture/extraction, i.e., MR = MC). Inventories of assets such as these appear on a
company's balance sheet, but companies seek to minimise how much they have to hold to
carry out their business, given the capital carrying cost. They don't try to accumulate these
inventories to store their retained earnings. Gold, by contrast, is a monetary store of value.
Its value is decoupled at equilibrium from the cost of extracting and storing it. While we may
also use it for jewellery (an ancient way of signalling our wealth to other members of
society), and we use a bit of it for manufacturing electronic goods and other industrial uses,
we also store tonnes of it at great expense in giant inert lumps as a form of savings-a store
of value—with no intent of ever using those lumps for any other purpose. Gold is therefore
arbitrarily expensive relative to its extraction and storage cost. Its value is subjective.
Consider some examples of the things we use as means of payment versus those we use as
monetary stores of value today21:
31 Note that I exclude here things like pre-paid debit cards, gift cards, pre-paid telephone plans and air miles as
they are relatively immaterial to the financial system. As it happens, these can all be used for payments and
are assets but people treat them as working capital (immobilised balance sheet assets with a carrying cost)
rather than a form of savings, so if anything, they are more payment rails than monetary stores of value.
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• Means of payment: Visa (credit and debit), SWIFT, PayPal, Apple Pay, Google Pay,
Western Union, physical cash
• Monetary stores of value: Gold, fixed and demand bank deposits, physical cash.
What's interesting is that the only thing that appears as both a means of payment and a
monetary store of value is physical cash. Yet even though physical cash is c
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