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Agentic 10-K

WELLTOWER INC.WELL

AI agent disclosures in SEC filings

As of 2026-02-12, WELLTOWER INC. (WELL) disclosed AI-agent language in 2 SEC filings since 2025-02-12 (source: Agentic 10-K, from SEC EDGAR).

Market cap
$168.9BYahoo Finance, 2026-10-21
First seen
2025-02-12
Latest filing
2026-02-12

Matching filings by quarter

0121Q1 '25Q2Q3Q41Q1 '26Q2Q3Q4*
Filings* Quarter in progress

What the filings cover

Functions named

Legal & compliance

Vendors and products named

None named

Source

2 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.

“Recent developments in AI, such as generative or agentic AI, may accelerate or exacerbate these effects, and industry trends and consumer expectations may influence the pace at which AI solutions are used in our business operations.”

10-KFiled 2026-02-12Source on sec.gov (opens in a new tab)Filing index (opens in a new tab)

All matching filings

10-K filed 2026-02-12 Filing index (opens in a new tab)

10-KFiled 2026-02-12

The company is integrating generative AI tools and notes risks from agentic AI and new regulations.

“AI presents risks and challenges that could impact our business, including perceived breaches or privacy or security incidents related to the use of AI. We are integrating generative AI tools into our systems and our third-party business partners, including operators, tenants and vendors, may also develop or use such tools. Our ongoing efforts to comply with privacy and data protection laws, as well as initiatives to comply with new legal regulations relating to privacy, data protection and AI, impose significant costs and challenges that are likely to increase over time. AI solutions and features may become more important to our operations or to our future growth. Recent developments in AI, such as generative or agentic AI, may accelerate or exacerbate these effects, and industry trends and consumer expectations may influence the pace at which AI solutions are used in our business operations. There can be no assurance that we will realize the desired or anticipated benefits, or any benefits, and we may fail to properly implement such technology. Uncertainty around the safety and security of new and emerging AI applications may require additional investment in the development of proprietary datasets, machine learning models and systems to test for security, accuracy, bias and other variables, which are often complex, may be costly and could impact our profit margin. Public perception of AI technology, including concerns about data privacy and security or algorithmic bias coul”

10-K filed 2025-02-12 Filing index (opens in a new tab)

10-KFiled 2025-02-12

Welltower describes risks from integrating generative and agentic AI tools into operations.

“AI presents risks and challenges that could impact our business, including perceived breaches or privacy or security incidents related to the use of AI. We are integrating generative AI tools into our systems and our third-party business partners, including operators, tenants and vendors, as well as our competitors, may also develop or use such tools. Our ongoing efforts to comply with privacy and data protection laws, as well as initiatives to comply with new legal regulations relating to privacy, data protection and AI, impose significant costs and challenges that are likely to increase over time. AI solutions and features may become more important to our operations or to our future growth over time. Recent developments in AI, such as generative or agentic AI, may accelerate or exacerbate these effects, and industry trends and consumer expectations may influence the pace at which AI solutions are used in our business operations. There can be no assurance that we will realize the desired or anticipated benefits, or any benefits, and we may fail to properly implement such technology. Uncertainty around the safety and security of new and emerging AI applications may require additional investment in the development of proprietary datasets, machine learning models and systems to test for security, accuracy, bias and other variables, which are often complex, may be costly and could impact our profit margin. In addition, the providers of our or our business partners’ AI tools may ”