What was as soon as a futuristic idea is rapidly turning into a extra concrete actuality, even at a time when Web2 nonetheless dominates. Six out of ten Fortune 500 corporations are exploring blockchain-based options, most taking a hybrid method that mixes conventional Web2 enterprise fashions and infrastructure with the decentralized applied sciences and rules of Web3.
Widespread use instances embody cloud companies, provide chain administration, and, most notably monetary companies. The truth is, at one level, the every day quantity of transactions processed on decentralized finance exchanges exceeded $10 billion.
Gaining a Web3 edge
Among the many benefits of Web3 for the enterprise are larger possession and management of delicate knowledge, says Erman Tjiputra, founder and CEO of the AIOZ Community, which is constructing infrastructure for Web3, powered by decentralized bodily infrastructure networks (DePIN), blockchain-based techniques that govern bodily infrastructure property.
More cost effective compute is one other profit, as is enhanced safety and privateness because the cyberattack panorama grows extra hostile, he provides. And it might even assist shield corporations from outages attributable to a single level of failure, which might result in downtime, knowledge loss, and income deficits.
However maybe probably the most thrilling alternative, says Tjiputra, is the flexibility to construct and scale AI reliably and affordably. By leveraging a people-powered web infrastructure, corporations can much more simply entry—and contribute to—shared useful resource like bandwidth, storage, and processing energy to run AI inference, practice fashions, and retailer knowledge. All whereas utilizing acquainted developer tooling and open, usage-based incentives.
“We’re in a compute crunch the place necessities are insatiable, and Web3 creates this capability to learn whereas contributing,” explains Tjiputra.
In 2025, AIOZ Community launched a distributed compute platform and market the place builders and enterprises can entry and monetize AI property, and run AI inference or coaching on AIOZ Community’s greater than 300,000 contributing units. The mannequin permits corporations to maneuver away from opaque datasets and fashions and scale flexibly, with out centralized lock in.
Overcoming Web3 deployment challenges
Regardless of the promise, it’s nonetheless early days for Web3, and core systemic challenges are leaving senior management and builders hesitant about its applicability at scale.
