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Agentic 10-K

CBRE GROUP, INC.CBRE

AI agent disclosures in SEC filings

As of 2026-02-12, CBRE GROUP, INC. (CBRE) disclosed AI-agent language in 1 SEC filing since 2026-02-12 (source: Agentic 10-K, from SEC EDGAR).

Industry
Real Estate
Market cap
$38.6BYahoo Finance, 2026-10-21
First seen
2026-02-12
Latest filing
2026-02-12

Matching filings by quarter

012Q1 '25Q2Q3Q41Q1 '26Q2Q3Q4*
Filings* Quarter in progress

What the filings cover

Functions named

HR & recruiting, IT & security ops, Legal & compliance

Vendors and products named

None named

Source

1 filing 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.

“Implementation of such investments in information technology, including generative and agentic AI tools, could be complicated, heavily dependent on the quality, accuracy and relevance of data inputs and methodologies, require sophisticated infrastructure and skilled talent, have ethical and societal implications, and could exceed estimated budgets.”

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 cites risks from implementing and using generative and agentic AI tools.

“Our business relies heavily on information technology, including solutions provided by third parties, to deliver services that meet the needs of our clients. If we are unable to effectively execute or maintain our information technology strategies or adopt new technologies and processes relevant to our service platform, our ability to deliver high-quality services may be materially impaired. In addition, we make significant investments in new systems and tools to achieve competitive advantages and efficiencies, including the adoption and integration of artificial intelligence (AI) and machine learning technologies. Implementation of such investments in information technology, including generative and agentic AI tools, could be complicated, heavily dependent on the quality, accuracy and relevance of data inputs and methodologies, require sophisticated infrastructure and skilled talent, have ethical and societal implications, and could exceed estimated budgets. We may experience challenges that prevent new strategies or technologies from being realized according to anticipated schedules. With respect to AI capabilities in particular, leveraging such AI capabilities for our internal functions and operations may present new risks, costs and challenges. The development, adoption and use of AI technologies is still in the early stages and involves significant uncertainties, which may expose us to legal, reputational and financial harm. Moreover, the use of AI may give rise to risks”