I was among the first to articulate the shift to platforms, 15 yrs back, and later wrote about in my books Platform Revolution and Platform Scale.
I believe #protocols will drive the next big shift in value creation & markets.
Here's why!
A mega thread, with illustrations. 🧵
Protocols will bring about a fundamental redesign in value creation and markets, not just a shift towards decentralisation or read/write/own, as many of the Web1 to Web2 to #Web3 proponents often claim.
To understand the transformative power of protocols, and why this is more than just a shift from Web2 to #Web3, let's go through a quick primer in business history.
@BosonProtocol Together, these gave us the tools of mass production and gave birth to large corporations, particularly during the post-World-War geopolitical shift towards globalisation.
Finally, the shift to globalization and international trade, spurred further by standardization technologies, particularly container shipping, led to the creation of global supply chains.
They connected mass production with mass consumption globally.
@BosonProtocol By perfecting the technologies of mass production, mass consumption, and global connectivity, the industrial era perfected its ability to scale value creation through the pipeline model and benefit from supply-side economies of scale.
@BosonProtocol The rise of the internet created a new set of technological changes and market forces, which again, restructured production, consumption, and the markets that connect the two.
The tools of production could now be distributed, rather than centralised.
Consider the news industry as an example.
@BosonProtocol To create and distribute news at scale, you had to be a large newspaper company.
But then the internet decentralised the tools of publishing and distribution, so that anybody with access to web authoring could produce and disseminate news.
from mass production and mass consumption to distributed production and personalized consumption,
the internet provided a global connectivity infrastructure to connect the two.
@BosonProtocol Mobile-based connectivity and cloud computing enabled the creation of a new alternative for global value exchange.
Cloud hosting connected distributed production to personalized consumption through a global network.
@BosonProtocol Together, these three technologies drove the rise of platforms as the dominant model of value creation.
Platforms connected producers and consumers with each other allowing them to create an exchange value and facilitating these interactions at scale.
@BosonProtocol By adding more and more producers to these platforms, there was more choice for consumers, enabling these platforms to benefit from demand-side economies of scale.
From ‘mass production connected to mass consumption’
To ‘distributed production connected to personalised consumption’.
@BosonProtocol 1. By aggregating fragmented markets, platforms reduced search costs — the costs incurred in counterparty discovery.
2. By standardizing transactions at scale, platforms reduced bargaining costs — the costs incurred in negotiating the terms of exchange.
@BosonProtocol 3. And by acting as central intermediaries with market-wide data capture and visibility, platforms reduced verification and policing costs — the costs incurred in imputing trust to transactions by verifying and policing those transactions.
@BosonProtocol Platforms created massive value while also gaining inordinate market power.
Demand-side economies of scale
— manifested through network effects and learning effects —
coalesced entire markets around a few dominant platforms.
Protocols — more specifically, permissionless blockchain protocols — provide a new organizing and governance mechanism to organize actors in an ecosystem.
1) do not provide end-to-end market infrastructure
2) do not internalize transaction policing and verification.
@BosonProtocol@balajis Since protocols do not themselves provision market infrastructure or internalize transaction policing and verification, they need to set up the economic incentives for other ecosystem actors to provision these services.
@BosonProtocol@balajis They achieve this by issuing tokens to reward desirable actions in the ecosystem.
As the value of market activity in the ecosystem increases, the value of the token — tied to protocol usage — increases as well.
@BosonProtocol@balajis As an example, @BosonProtocol leverages commitment tokens to secure commitment of buyers and sellers to a transaction, thereby externalizing verification of the certainty of the transaction.
@BosonProtocol@balajis Protocols have often been dismissed by Web3 skeptics, as hacker tools that will only impact a small community.
Instead, protocols — in combination with tokens — look increasingly likely to power the next generation of market economics.
Protocols (in combination with tokens) change the incentives and returns on production.
@BosonProtocol@balajis The platform economy has often been criticized for skewing rewards away from external producers, who commit resources to the platform and incur risks, and centralizing rewards with the central platform organization.
@BosonProtocol@balajis Token rewards provide an alternate incentive mechanism where ecosystem producers are incentivized for desirable actions that grow market activity.
These tokens, in turn, grow in value as overall market activity increases, enabling external producers to benefit from returns.
@BosonProtocol@balajis In addition to improving returns on production, protocols — particularly, through non-fungible tokens (NFTs) — also empower producers by establishing, transfering, and enforcing property rights over the assets they produce.
@BosonProtocol@balajis@ljin18 Well-structured token incentives combined with the verifiability of asset ownership skew rewards of production back to the producer.
@BosonProtocol@balajis@ljin18@cburniske@placeholdervc@BanklessHQ@jessewldn But much like pipelines needed standards in global supply chains and platforms needed a global compute infrastructure, protocols require a new operating infrastructure to manage decentralized transaction execution at scale.
Money is a difficult topic to think right about. Everyone gets pretty emotional about money.
A few quick mental models that have helped me think about money.
Cliche: Money doesn't buy happiness.
Not quite right. Money buys freedom. Freedom leads to happiness.
Almost no one disagrees with the fact that freedom leads to happiness.
So if money isn't buying you happiness, you're using it wrong.
This brings us to the second issue.
"Money is a great servant but a terrible master."
You've pretty much lost the game if you've failed to leverage money as a tool (money as servant) and instead used it to create constraints around yourself (money as master).
A framework on creating scale and leverage with the assets and agency of others.
A thread 👇
What is vehicle thinking?
I borrow the term vehicle from 'investment vehicles' which create a mechanism to accumulate others' assets towards investment.
Funds, as investment vehicles, allow fund managers to benefit from an asset base contributed by others, and share in the returns of compounding on that asset base.
The limits of applying the 'platform argument' to BigTech firms, particularly Facebook, Google, Twitter etc.
A thread. 👇
The common narrative today - and also in a lot of my work, including Platform Revolution - frames Facebook, Google, and Twitter as multi-sided platforms.
#TWEETSTORM: The #Covid19 pandemic seems to have strengthened the #platform economy further. Multiple issues here:
The obvious include: remote work, food delivery, ecommerce.
The less obvious include: value chain shifts (e.g. movies), public-private partnerships, cartels etc.
Let's start with some of the obvious: 1. Remote work tools
Microsoft Teams hit an all-time high of 75M DAUs in April 2019.
Zoom video calls hit a high of 300M DAU in April.
April 2020 stats: 3x YoY growth in enterprise users and 169% growth in revenue.
Also, less obvious but equally important:
# of PDF documents shared using Adobe’s software grew 50% YoY for Q1.
Adobe Sign grew 175% since the start of Adobe's fiscal year.
Docusign is up as well.
Growth in e-sign + payments augurs well for supplier network digitization
1/n Tweetstorm on Tiktok:
What's really interesting is not Tiktok in itself, but more broadly how AI is likely to change our mental models on platforms.
“large-scale AI models” will determine our “personalized information flows,” ... a “For You” feed, which is personalized by a machine-learning system that analyzes each video and tracks user behavior so that it can serve up a continually refined, never-ending stream of TikToks.