What was once a futuristic concept is rapidly becoming a more concrete reality, even at a time when Web2 still dominates. Six out of ten Fortune 500 companies are exploring blockchain-based solutions, most are adopting a hybrid approach that combines traditional Web2 business models and infrastructure with Web3’s decentralized technologies and principles.
Popular use cases include cloud services, supply chain management, and, especially, financial services. In fact, at one point, the daily volume of transactions processed on decentralized finance exchanges exceeded 10 billion dollars,
Web3 Gaining Edge
The benefits of Web3 for the enterprise include greater ownership and control of sensitive data, says Erman Tjiputra, founder and CEO of AIOZ Networks, which is building the infrastructure for Web3, powered by decentralized physical infrastructure networks (DePIN), blockchain-based systems that control the assets of physical infrastructure.
He further added that more cost-effective compute is another benefit, enhancing security and privacy as the cyber attack landscape becomes more hostile. And it can also help companies protect against outages caused by a single point of failure, which can lead to downtime, data loss, and revenue losses.
But perhaps the most exciting opportunity, Tjiputra says, is the ability to build and scale AI in a reliable and affordable way. By leveraging people-powered Internet infrastructure, companies can easily access and contribute shared resources such as bandwidth, storage, and processing power to run AI inferences, train models, and store data. All using familiar developer tooling and open, usage-based incentives.
Tjiputra explains, “We are in a compute crisis where needs are insatiable, and Web3 creates the ability to leverage while contributing.”
In 2025, the AIOZ Network launched a distributed compute platform and marketplace where developers and enterprises can access and monetize AI assets, and run AI inference or training on the AIOZ Network’s more than 300,000 contributing devices. This model allows companies to move away from opaque datasets and models and scale flexibly without centralized locks.
control Web3 deployment challenges
Despite the promise, it is still early days for Web3, and key systemic challenges are making senior leadership and developers hesitant about its applicability at scale.
