What was as soon as a futuristic idea is shortly turning into a extra concrete actuality, even at a time when Web2 nonetheless dominates. Six out of ten Fortune 500 firms are exploring blockchain-based options, most taking a hybrid strategy that mixes conventional Web2 enterprise fashions and infrastructure with the decentralized applied sciences and ideas of Web3.
Well-liked use instances embody cloud providers, provide chain administration, and, most notably monetary providers. Actually, at one level, the day by 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 better possession and management of delicate information, 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 programs that govern bodily infrastructure belongings.
Cheaper compute is one other profit, as is enhanced safety and privateness because the cyberattack panorama grows extra hostile, he provides. And it may even assist shield firms from outages brought on by a single level of failure, which may result in downtime, information loss, and income deficits.
However maybe essentially the most thrilling alternative, says Tjiputra, is the power to construct and scale AI reliably and affordably. By leveraging a people-powered web infrastructure, firms 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 information. 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 skill 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 belongings, and run AI inference or coaching on AIOZ Community’s greater than 300,000 contributing units. The mannequin permits firms 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.
