A 2026 10-K's AI disclosure, quoted and dated: Target Corporation

Target Corporation filed its annual report for the fiscal year ended 2026-01-31 on 2026-03-11. The filing is accession number 0000027419-26-000016; its primary document is tgt-20260131.htm, 255,532 characters of text once the HTML is stripped. We chose it because it is a retailer, not a technology company, in a 40-filing sample of 10-Ks that use the phrase "generative artificial intelligence" (a separate article on this site builds that sample), and because the question of what a company outside the technology sector actually discloses about AI is better answered by quoting than by counting. The attached script downloads the document through the submissions API, splits it into sentences, and prints every one that contains "artificial intelligence", tagged by whether it falls inside Item 1A. Output on 2026-09-06.

The count

Thirteen sentences in the document mention artificial intelligence. Twelve are inside Item 1A, Risk Factors, which runs from character 42,140 to 98,322 of the stripped text, about 22 percent of the document. One is outside it, in the business overview. Three of the thirteen use the phrase "generative artificial intelligence"; one uses "agentic"; "machine learning" does not appear anywhere in the document.

heads_1a = [m.start() for m in re.finditer(r"Item 1A\.?\s+Risk Factors", text, flags=re.I)]
start = heads_1a[-1] if heads_1a else 0            # the last heading, past the table of contents
m1b = re.search(r"Item 1B\.?\s+Unresolved Staff Comments", text[start:], flags=re.I)
end = start + m1b.start() if m1b else len(text)

The boundary logic matters because a 10-K's table of contents also contains the strings "Item 1A" and "Item 1B"; taking the last "Item 1A" heading before the first "Item 1B" that follows it lands on the section itself.

What the risk factors say, quoted

The twelve risk-factor sentences group into six distinct exposures. Each quotation below is verbatim from the filing.

Competition. "For example, we may be unable to match or surpass the advances in technologies and capabilities (including artificial intelligence) that our competitors implement for consumer-facing platforms or for internal operations, which could adversely affect our competitive position." And: "As technology (including artificial intelligence) in the digital retail market continues to evolve, new competitors may emerge due to lowered barriers of entry, which could negatively impact our ability to compete."

The company's own use. "Furthermore, generative artificial intelligence presents emerging ethical issues and could negatively impact our guests and team members." Followed by the sentence that carries the word "agentic": "If our use of generative or agentic artificial intelligence becomes controversial or is ineffective, or if the outputs generated are inaccurate or controversial, our reputation and competitive position could be adversely affected."

Intermediation of demand. "Consumers may also use third-party channels, devices, technologies, and capabilities (including artificial intelligence) to initiate shopping searches and place orders, which could make us dependent on the capabilities and search algorithms of those third parties to reach those consumers." This is the sentence we would not have predicted from the counts: the risk that shoppers arrive through an AI assistant that chooses the retailer.

Reputation and synthetic media. "It may be difficult to address negative publicity or sensationalism across media channels, regardless of its accuracy or the reputability of its source, including as a result of fictitious media content (such as content produced by generative artificial intelligence or bad actors)."

Security and suppliers. Cyber threats are said to include "the use of enhanced and rapidly advancing technologies and capabilities (including artificial intelligence) by threat actors", and the third-party dependency list includes "portions of our technology infrastructure (including certain generative artificial intelligence services)".

Workforce and transformation. "In addition, the continuous advancements in automation and artificial intelligence capabilities will continue to impact the skills required in our workforce, and our recruiting and training needs must evolve to maintain pace." A business-transformation initiative begun in 2025 is described as intended to "leverage technology (including artificial intelligence) and data to enhance decision-making, and reduce costs", and the advertising business faces "new or enhanced technology offerings such as artificial intelligence-enabled advertising solutions". Demand forecasting is said to depend on "successfully implementing new technologies and capabilities (including artificial intelligence)".

The one sentence outside Item 1A

In the overview of the year, a bulleted list of 2025 actions includes: "Enhanced artificial intelligence capabilities across merchandising, planning, inventory management, and personalization, and expanded the use of AI-powered tools to simplify work for store and headquarters teams". The same list mentions a retail-media product that improves "advertising outcomes by leveraging data and AI-learning". That is the entirety of the affirmative disclosure: one bullet, no figures, no named systems, no capital amount.

What the filing does and does not disclose

It discloses that the company uses generative and agentic AI (the risk-factor sentence about "our use of" would be odd otherwise), that some of it is supplied by third parties, that it is deployed in merchandising, planning, inventory, personalisation, and internal tools, and that management regards it as a competitive necessity, a reputational exposure, a security vector, a supplier dependency, and a labour-market force. Twelve of thirteen mentions are framed as risk, which is the structure of a 10-K, not evidence of pessimism.

It does not disclose spending on AI, revenue attributed to it, which models or vendors are used, any productivity figure, or any incident. Nothing in the filing quantifies the technology's effect on the business in either direction, and no reader should infer one. The document is dated; the fiscal year it describes ended 2026-01-31; and the next 10-K, due in about six months, is the only thing that will say whether the thirteen sentences became fourteen or forty. The script runs on any CIK and accession number, so the comparison can be made when that filing arrives.