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Blockchain News

Pi Network Explains AI-Powered KYC as Mainnet Migration Surpasses 16.7M Users

The network said additional verification checks are helping strengthen security, fairness, and real-user authenticity across its growing blockchain ecosystem.

Written By Isha Chavda - Crypto Jornalist Isha Chavda
Fact Checked by Divya Mistry Divya Mistry
Published 2026-05-13
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Last updated: May 13, 2026 3:41 PM
Published 2026-05-13
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Last updated: May 13, 2026 3:41 PM
Published 2026-05-13
Pi Network Explains AI-Powered KYC as Mainnet Migration Surpasses 16.7M Users
Show AI Summary
Pi Network prioritizes identity verification with a strict one person, one account policy.
Over 18 million users have completed Pi’s native identity verification process, led by the network’s team.
Pi Network’s AI-powered system supports human reviewers to validate authenticity and detect fraud.

Pi Network has shared new details about its KYC verification system, explaining why some users continue to see a “Tentative KYC” status while the network expands its Mainnet migration efforts.

According to the official announcement, Pi Network said identity verification remains one of the most important pillars supporting its ecosystem, which is built around a strict “one person, one account” policy.

Pi has reached a massive growth milestone, reporting that over 18.1 million users have completed its native identity verification process, with 16.7 million successfully migrating their balances to the Pi Mainnet blockchain. 

About the Tentative KYC status

The network clarified that a tentative KYC status does not represent a rejection but instead signals that additional verification steps are still required before final approval.

Pi said these extra checks may include liveness verification, application reviews, or additional system validation processes designed to identify fake or duplicate accounts.

The network explained that maintaining verified human participation is essential for supporting real-world blockchain applications, payments, and digital services. “Pi believes effective KYC should not allow every account to pass easily,” the post stated.

According to Pi Network, weak verification systems could allow duplicate accounts to migrate to Mainnet, distort rewards, and reduce trust across the ecosystem.

AI efficiency boost

To manage the verification of its 60+ million monthly active Pioneers, Pi Network has integrated large-scale AI-powered improvements. This system combines machine learning models with decentralized human review to obfuscate sensitive data while validating authenticity.

The results of the AI upgrade include: millions of “Tentative” cases successfully cleared and moved to eligibility; a 50% reduction in human review backlogs; and enhanced fraud detection against bot-driven “farm” accounts.

“Pi believes effective KYC should not allow every account to pass easily,” the network stated, emphasizing that a weak system would dilute rewards and reduce trust in the upcoming Open Network.

The network also said human validators continue to review critical parts of applications while AI systems help process and obfuscate sensitive user data.

The May 15 deadline and future focus

The milestone comes at a critical technical juncture. Pi Network has set a May 15, 2026, deadline for all Mainnet node operators to upgrade to Protocol 23 and Desktop Node version 0.5.4.

This upgrade is essential for the network to remain synchronized as it expands its smart contract capabilities and prepares for decentralized applications (dApps) and the Pi DEX. Failure to upgrade by the deadline will result in node operators losing connection to the blockchain.

Furthermore, founders Nicolas Kokkalis and Chengdiao Fan highlighted at the recent Consensus 2026 conference, Pi is positioning its 18.1 million verified users as a “human infrastructure for AI.” This foundation is designed to support real-world commerce and institutional settlements where identity verification is a non-negotiable requirement.

Also read: Polygon Adds Confidential Chains to Power Private On-Chain Finance

Disclaimer: The information researched and reported by The Crypto Times is for informational purposes only and is not a substitute for professional financial advice. Investing in crypto assets involves significant risk due to market volatility. Always Do Your Own Research (DYOR) and consult with a qualified Financial Advisor before making any investment decisions.

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TAGGED:Artificial Intelligence (AI)Pi Network
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By Isha Chavda
Isha Chavda is a Junior Writer at The Crypto Times and a B.Com (Hons) graduate with a background in commerce. She reports on crypto news and focuses on creating content that is clear, simple, and engaging for readers. With a strong interest in content creation, she enjoys staying updated with the latest trends and turning them into easy-to-understand stories. Her work combines effective communication to make crypto more accessible and relatable.  
Divya Mistry
By Divya Mistry
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Divya Mistry is the Senior Editor at The Crypto Times. She leads the central editorial desk, overseeing the review and publication of policy analyses, investigative reports, exchange coverage, and protocol exploit stories. Her editorial remit spans digital asset markets, global exchange operations, cross-border digital asset settlements, regulatory developments, and other key developments shaping the cryptocurrency industry. Divya brings more than a decade of experience in editorial strategy, content development, public relations, marketing communications, and research. Before joining The Crypto Times, she worked across multiple sectors, including finance, technology, education, healthcare, real estate, entertainment, lifestyle, and vertical transport, contributing to both digital and print publications. Her research and content work has been featured on platforms including DNA India, Zee, Forbes, and Elevator World India. She holds a Master's degree in English Literature from the University of Mumbai. Drawing on her background in long-form publishing, research, and editorial leadership, she reviews and refines complex stories to ensure accuracy, clarity, and strong editorial standards before publication.

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