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Agentic 10-K

Galaxy Digital Inc.GLXY

AI agent disclosures in SEC filings

As of 2025-12-09, Galaxy Digital Inc. (GLXY) disclosed AI-agent language in 4 SEC filings since 2025-05-27 (source: Agentic 10-K, from SEC EDGAR).

Market cap
$3.3BYahoo Finance, 2026-10-21
First seen
2025-05-27
Latest filing
2025-12-09

Matching filings by quarter

012Q1 '252Q2Q32Q4Q1 '26Q2Q3Q4*
Filings* Quarter in progress

What the filings cover

Functions named

IT & security ops

Vendors and products named

None named

Source

4 filings since 2025-01-01. All EDGAR filings (opens in a new tab)

Stage and function are keyword-rule labels, not the company’s words.

In its own words

Sentences copied from the filings, whitespace normalised.

“The cryptographic authentication inherent to blockchain networks could prove to be a critical feature to help detect and prevent fraud and deep fakes, while the digitally native, 24/7 nature of blockchain wallets could provide the financial infrastructure necessary for AI agents to perform tasks that involve payments or other transfers of value.”

S-1Filed 2025-12-09Source on sec.gov (opens in a new tab)Filing index (opens in a new tab)

All matching filings

S-1 filed 2025-12-09 Filing index (opens in a new tab)

S-1, S-1/AFiled 2025-12-09

Galaxy Digital discusses how blockchain could provide infrastructure for AI agents to handle payments.

“• AI and the Digital Assets Economy : AI has also proven to be a catalyst and complementary technology for blockchain networks. The cryptographic authentication inherent to blockchain networks could prove to be a critical feature to help detect and prevent fraud and deep fakes, while the digitally native, 24/7 nature of blockchain wallets could provide the financial infrastructure necessary for AI agents to perform tasks that involve payments or other transfers of value.”

S-1, S-1/AFiled 2025-12-09

Galaxy Digital discusses blockchain as foundational technology for data economies that feed AI.

“• AI and the Digital Assets Economy : AI has also proven to be a catalyst and complementary technology for blockchain networks. The cryptographic authentication inherent to blockchain networks could prove to be a critical feature to help detect and prevent fraud and deep fakes, while the digitally native, 24/7 nature of blockchain wallets could provide the financial infrastructure necessary for AI agents to perform tasks that involve payments or other transfers of value. Blockchain could also serve as a foundational technology for data economies that feed AI. Data and access rights to models can be tokenized and traded, while smart contracts can enforce the terms of data transactions. Blockchain networks thus create new opportunities for decentralized data marketplaces where organizations can buy, sell, and trade data in a secure and transparent environment. AI can enhance the value of the data on these marketplaces by using it to build better predictive models or uncover insights.”

S-1 filed 2025-10-20 Filing index (opens in a new tab)

S-1Filed 2025-10-20

Blockchain could provide infrastructure for AI agents to handle payments and value transfers.

“• AI and the Digital Assets Economy : AI has also proven to be a catalyst and complementary technology for blockchain networks. The cryptographic authentication inherent to blockchain networks could prove to be a critical feature to help detect and prevent fraud and deep fakes, while the digitally native, 24/7 nature of blockchain wallets could provide the financial infrastructure necessary for AI agents to perform tasks that involve payments or other transfers of value.”

S-1Filed 2025-10-20

Blockchain could provide infrastructure for AI agents to handle payments and value transfers.

“• AI and the Digital Assets Economy : AI has also proven to be a catalyst and complementary technology for blockchain networks. The cryptographic authentication inherent to blockchain networks could prove to be a critical feature to help detect and prevent fraud and deep fakes, while the digitally native, 24/7 nature of blockchain wallets could provide the financial infrastructure necessary for AI agents to perform tasks that involve payments or other transfers of value. Blockchain could also serve as a foundational technology for data economies that feed AI. Data and access rights to models can be tokenized and traded, while smart contracts can enforce the terms of data transactions. Blockchain networks thus create new opportunities for decentralized data marketplaces where organizations can buy, sell, and trade data in a secure and transparent environment. AI can enhance the value of the data on these marketplaces by using it to build better predictive models or uncover insights.”

S-1 filed 2025-05-28 Filing index (opens in a new tab)

S-1Filed 2025-05-28

Blockchain could provide infrastructure for AI agents to perform payments and value transfers.

“• AI and the Digital Assets Economy : AI has also proven to be a catalyst and complementary technology for blockchain networks. The cryptographic authentication inherent to blockchain networks could prove to be a critical feature to help detect and prevent fraud and deep fakes, while the digitally native, 24/7 nature of blockchain wallets could provide the financial infrastructure necessary for AI agents to perform tasks that involve payments or other transfers of value.”

S-1Filed 2025-05-28

Blockchain networks create opportunities for decentralized data marketplaces used by AI.

“• AI and the Digital Assets Economy : AI has also proven to be a catalyst and complementary technology for blockchain networks. The cryptographic authentication inherent to blockchain networks could prove to be a critical feature to help detect and prevent fraud and deep fakes, while the digitally native, 24/7 nature of blockchain wallets could provide the financial infrastructure necessary for AI agents to perform tasks that involve payments or other transfers of value. Blockchain could also serve as a foundational technology for data economies that feed AI. Data and access rights to models can be tokenized and traded, while smart contracts can enforce the terms of data transactions. Blockchain networks thus create new opportunities for decentralized data marketplaces where organizations can buy, sell, and trade data in a secure and transparent environment. AI can enhance the value of the data on these marketplaces by using it to build better predictive models or uncover insights.”

S-1 filed 2025-05-27 Filing index (opens in a new tab)

S-1Filed 2025-05-27

Galaxy Digital states AI agents need blockchain for payments and value transfers.

“• AI and the Digital Assets Economy : AI has also proven to be a catalyst and complementary technology for blockchain networks. The cryptographic authentication inherent to blockchain networks could prove to be a critical feature to help detect and prevent fraud and deep fakes, while the digitally native, 24/7 nature of blockchain wallets could provide the financial infrastructure necessary for AI agents to perform tasks that involve payments or other transfers of value.”

S-1Filed 2025-05-27

Galaxy Digital states blockchain enables data marketplaces that AI can enhance for models.

“• AI and the Digital Assets Economy : AI has also proven to be a catalyst and complementary technology for blockchain networks. The cryptographic authentication inherent to blockchain networks could prove to be a critical feature to help detect and prevent fraud and deep fakes, while the digitally native, 24/7 nature of blockchain wallets could provide the financial infrastructure necessary for AI agents to perform tasks that involve payments or other transfers of value. Blockchain could also serve as a foundational technology for data economies that feed AI. Data and access rights to models can be tokenized and traded, while smart contracts can enforce the terms of data transactions. Blockchain networks thus create new opportunities for decentralized data marketplaces where organizations can buy, sell, and trade data in a secure and transparent environment. AI can enhance the value of the data on these marketplaces by using it to build better predictive models or uncover insights.”