Crypto has built the infrastructure. Deai gives him a goal.
Crypto has delivered superb innovations over the past decade. Bitcoin challenged sovereign money. DEFI redesigned financial services. NFTs have transformed digital property. However, despite billions of invested and endless media threshing cycles, the consumer adoption remains a mirage. Less than 2% use crypto for something beyond speculation. DEFI captures a negligible tranche of global finance. NFT values have cracked 90% of their peaks.
The problem has never been technology. Crypto simply had not found its iPhone moment – the revolutionary application that clicks everything. This moment happened. Decentralized AI is the fate of Crypto.
The adoption problem that no one wants to admit
Each Crypto founder knows the uncomfortable truth behind the Keynotes and the Twitter sons of the conference. The actual use remains embarrassing. Of course, stock market capitalizations reach billions of tickets during bull races, but real public services are barely looking at global scales. The total locked value of Defi seems impressive until you realize that it represents 0.05% of traditional finance. The most successful NFT collections have become digital babies, precious only until music stops.
It is not a failure. It is a prelude. The Internet has langui for years as a curiosity for academics and amateurs. Email seemed useless when everyone had phones. Online purchases were risky and complicated. Then the smartphones arrived and, suddenly, the Internet became essential to daily life. The infrastructure awaited his request as a killer.
Crypto has built a remarkable infrastructure over the past decade. Secure global payments. Programmable money. Digital rarity. Decentralized coordination. These innovations count, but they have been solutions looking for problems that most people are not urgently felt. Bitcoin works with digital gold brilliantly, but how many people really need a store of censorship? DEFI allows loans without authorization, but traditional banks appropriately serve most users. The NFT proves digital property, but the collection of JPEG remains niche.
The missing part has always been a case of use so convincing that decentralization becomes not only useful but necessary. Enter artificial intelligence.
IA IA
While the crypto had trouble finding a goal, the AI exploded in the dominant current with a breathtaking speed. Chatgpt reached 100 million users in two months. Each large company rushes to integrate AI. Governments pay billions into AI national strategies. Technology already transforms health care industries to finance, including creative arts.
But AI’s astronomical growth creates problems that centralized infrastructure cannot solve. Mathematics just don’t work. The request for calculation of the double AI every 3.4 months while the construction of the data center takes years. GPU production will only meet 57% of the planned demand from 2030. Energy needs threaten to overwhelm electrical networks. Companies that build the future of AI are simultaneously genius its ventilation.
The centralization problem is deeper than capacity constraints. When AWS controls servers, Google Hache the data and Microsoft has models, innovation goes through business bottlenecks. Researchers in emerging markets cannot access resources. Startups burn funding on calculation instead of development. The whole use cases remain unexplored because they do not align with the commercial models of Big Tech.
The fragility of the system multiplies these concerns. December 2021 AWS Outage not only deleted Netflix – this revealed to what extent our centralized architecture has become vulnerable. As the AI becomes more critical for the company, according to the data centers of three companies, becomes existentially risky. A major failure could paralyze world systems.
Beds documented in systems like GPT-4 exhibit another deadly flaw. When companies control AI, they shape its vision of the world. They decide to what questions are answered, what prospects are represented and what uses are authorized.
Centralized systems inevitably reflect the values and incentives of their creators.
Perhaps the most critical, the costs of the spiral beyond sustainability. The training of border models already requires hundreds of millions of calculations. By 2027, this figure will reach $ 1 billion per model. This economic reality guarantees that only the richest companies can participate in the future of AI, concentrating more power among those who already have it.
Why the crypto and AI are made for each other
Here is what changes everything: the fundamental properties of the crypto directly solve the existential challenges of the AI.
Decentralized networks are instantly evolving where the centralized infrastructure fails. While Amazon builds data centers over the years, cryptographic networks can activate millions of inactive GPUs in a few days thanks to Token incentives. Io.net reached 138 countries faster than WS could innovate on a single installation. The solution to the AI calculation shortage already exists in game platforms and underused servers in the world-Crypto unlocks it.
Access without permission replaces the company’s spout holder. Any developer can deploy models on the Bittensor network. Any data set can find buyers on the Ocean protocol. Any GPU owner can sell calculation via decentralized markets. The friction that maintains exclusive AI to well -funded teams disappears completely.
Blockchain’s transparency tackles the AI confidence deficit. When the models operate on decentralized networks, their operations become verifiable. Zero knowledge evidence checks the calculations without exposing sensitive data. Community governance guarantees that no entity controls the development of AI. The black box opens.
More importantly, the Economic Model of Crypto aligns perfectly with the needs of AI. The tokens incentives coordinate global resources without central planning. Competition between service providers reduces costs by 90% compared to centralized alternatives. The value takes place towards contributors rather than on shareholders. The economy that seemed speculative for payments becomes essential for AI infrastructure.
This convergence reveals the real goal of crypto. Technology never aimed to decentralize money – it was preparing to decentralize intelligence itself. Each innovation of the last decade, from consensus mechanisms to intelligent DAO contracts, has built the bases of distributed AI. We just couldn’t see him until the AI centralization crisis is not obvious.
The decentralized AI does not improve crypto. He finishes it. This is the time of the iPhone that we are waiting for – the application that transforms experimental technology into an essential infrastructure. The speculation phase ends. The revolution begins.