Block

A reporting-period timeline of the company’s AI and machine-learning disclosures, grounded in official investor materials and exact source excerpts.

AI strategyProductivity and efficiencyRisk and governance

Use-case evidence

AI use cases in official disclosures

Each row is a distinct, evidence-linked use case or initiative identified in official results and investor materials. Expand a row’s evidence to inspect the exact source wording.

4 verified use cases

Newest disclosure first

AI strategyExpanding

Workforce reduction drives transition to AI-enabled automation

Block announced a workforce reduction restructuring plan in February 2026. The company plan to operate at a smaller size and improve efficiency by relying more on automation, proactive intelligence capabilities, and AI tools.

7 May 2026Quarterly reportSEC EDGAR

Read exact evidence

“This plan has resulted in, and we expect to continue to result in, an increased reliance on automation, proactive intelligence capabilities and AI tools that we believe will enhance productivity and maintain operational efficiency.”

Use case or initiative	Area	Direction	Disclosed	Evidence
Workforce reduction drives transition to AI-enabled automation Block announced a workforce reduction restructuring plan in February 2026. The company plan to operate at a smaller size and improve efficiency by relying more on automation, proactive intelligence capabilities, and AI tools. Read exact evidence “This plan has resulted in, and we expect to continue to result in, an increased reliance on automation, proactive intelligence capabilities and AI tools that we believe will enhance productivity and maintain operational efficiency.” Context: Form 10-Q, Risk Factors, Section on Workforce Reduction	AI strategy	Expanding	7 May 2026Quarterly reportSEC EDGAR	Open
AI tools deployed to support compliance and risk management Block is potentially increasing its reliance on automation and AI tools to support key internal governance functions, including legal, regulatory compliance, and risk management. Read exact evidence “In addition, any reassignment of responsibilities, together with potential increased reliance on automation and AI tools to support certain legal, regulatory compliance and risk management functions, may limit our capacity and introduce additional oversight risks.” Context: Form 10-Q, Risk Factors	Productivity and efficiency	Expanding	7 May 2026Quarterly reportSEC EDGAR	Open
Dependency on third-party large language models introduces unexpected outputs Block's AI deployment is dependent on third-party large language models (LLMs) that are outside of its direct control. This dependency poses risks of inaccurate, biased, or unexpected outputs that could conflict with business standards. Read exact evidence “Our use of AI depends on third-party large language models that we do not control, and these models may generate inaccurate, biased, hallucinated or unexpected outputs that conflict with our business objectives or brand standards.” Context: Form 10-Q, Risk Factors	Risk and governance	Continuing	7 May 2026Quarterly reportSEC EDGAR	Open
Generative AI increases data exposure and intellectual property risks The growing adoption of generative AI technologies increases the risk of unintentional or unauthorized disclosure of Block's intellectual property. Read exact evidence “Furthermore, the growing use of generative AI presents an increased risk of unintentional and/or unauthorized disclosure or use of our intellectual property rights.” Context: Form 10-Q, Risk Factors	Risk and governance	Continuing	7 May 2026Quarterly reportSEC EDGAR	Open

Use case or initiative

Area

Direction

Disclosed

Evidence

Workforce reduction drives transition to AI-enabled automation

Read exact evidence

“This plan has resulted in, and we expect to continue to result in, an increased reliance on automation, proactive intelligence capabilities and AI tools that we believe will enhance productivity and maintain operational efficiency.”

Context: Form 10-Q, Risk Factors, Section on Workforce Reduction

AI strategy

Expanding

7 May 2026Quarterly reportSEC EDGAR

Open

AI tools deployed to support compliance and risk management

Block is potentially increasing its reliance on automation and AI tools to support key internal governance functions, including legal, regulatory compliance, and risk management.

Read exact evidence

“In addition, any reassignment of responsibilities, together with potential increased reliance on automation and AI tools to support certain legal, regulatory compliance and risk management functions, may limit our capacity and introduce additional oversight risks.”

Context: Form 10-Q, Risk Factors

Productivity and efficiency

Expanding

7 May 2026Quarterly reportSEC EDGAR

Open

Dependency on third-party large language models introduces unexpected outputs

Block's AI deployment is dependent on third-party large language models (LLMs) that are outside of its direct control. This dependency poses risks of inaccurate, biased, or unexpected outputs that could conflict with business standards.

Read exact evidence

“Our use of AI depends on third-party large language models that we do not control, and these models may generate inaccurate, biased, hallucinated or unexpected outputs that conflict with our business objectives or brand standards.”

Context: Form 10-Q, Risk Factors

Risk and governance

Continuing

7 May 2026Quarterly reportSEC EDGAR

Open

Generative AI increases data exposure and intellectual property risks

The growing adoption of generative AI technologies increases the risk of unintentional or unauthorized disclosure of Block's intellectual property.

Read exact evidence

“Furthermore, the growing use of generative AI presents an increased risk of unintentional and/or unauthorized disclosure or use of our intellectual property rights.”

Context: Form 10-Q, Risk Factors

Risk and governance

Continuing

7 May 2026Quarterly reportSEC EDGAR

Open