11 February 2026

 

Here’s today’s concise AI + genealogy briefing for Wednesday, 11 February 2026.

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1. Major AI updates (last ~24 hours)

• The U.S. Defense Department’s GenAI.mil platform is adding ChatGPT alongside Google Gemini and xAI’s Grok, signaling continued adoption of frontier models in high‑stakes, secure environments and pressure on vendors to support multi‑model deployments.[defensecommunities]​

• European equity markets are wobbling as investors reassess how aggressively AI will disrupt financial services; UK wealth managers like St James’s Place and Quilter dropped sharply on fears that AI‑driven platforms could compress fees and margins.[reuters]​

• Energy infrastructure players such as Williams Companies are exploring acquisition of U.S. natural gas assets specifically to power AI data centers, underlining how AI demand is now driving upstream energy strategy.[journalrecord]​

• Big Tech hyperscalers (Alphabet, Microsoft, Amazon, Meta) are projected to spend roughly 635–665 billion USD on AI‑related capex in their 2026 fiscal years—a 67–74% jump over 2025—largely on chips, servers, and data centers, even as investors push back on near‑term returns.[finance.yahoo]​

• Broad AI‑news hubs and newsletters continue to emphasize rapid model iteration, tool consolidation, and “AI in every SaaS” patterns that will indirectly shape the AI tools genealogists see embedded in search, office suites, and browsers.artificialintelligence-news+2

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2. How genealogists are using AI today (20+ concrete examples)

Below are mix‑and‑match ideas you could try immediately with a general‑purpose LLM plus existing genealogy sites and tools.nwsgenealogy+2

1. Research question refinement

   • Paste your current brick‑wall problem and ask the model to restate it as a focused research question, listing specific time‑ and place‑bound sub‑questions that align with the Genealogical Proof Standard.[aigenealogyinsights]​

2. Research plan drafting

   • Feed in a brief ancestor summary and location; ask for a step‑by‑step research plan sequenced by record type (civil registration, census, land, probate, newspapers) with repository suggestions and priority order.[denyseallen.substack]​

3. Record type tutoring

   • Use AI as a just‑in‑time tutor: “Explain how 19th‑century U.S. land entry files work and what evidence they can provide for migration patterns,” then adapt its outline into your own notes.

4. Deed abstracting and clause spotting

   • Paste a transcription of a long deed or mortgage and ask the model to identify parties, consideration, metes‑and‑bounds references, life estate language, and key dates, then generate a structured abstract you can verify.[nwsgenealogy]​

5. Probate packet summarization

   • After transcribing a will plus associated petitions and inventories, have AI produce a concise heir list, property list, and timeline of filings, with each item tied back to specific document pages for your manual checking.

6. Timeline building from notes

   • Paste free‑form research notes or citations and ask the model to output a chronological timeline (date, place, event, source) that you can then compare against your database or spreadsheet.[aigenealogyinsights]​

7. Hypothesis enumeration (not proof)

   • Give it a locality, surname cluster, and a few facts; ask for plausible relationship or migration hypotheses and a list of specific records that could falsify or support each one, explicitly labeling all as tentative.

8. Locality and context briefs

   • Request a short research‑oriented locality guide (jurisdictional history, record losses, major boundary changes, and key record sets) for a county or parish you’re about to work in, then reconcile with authoritative gazetteers.

9. Language assistance for records

   • Use the model to translate and explain recurring formulae and terms in non‑English records (e.g., Latin, German, Dutch, Polish), and to build your own mini‑glossary for that region and period.[nwsgenealogy]​

10. Handwriting learning aids

    • After you’ve transcribed a word or short phrase from a difficult script, ask AI to generate a table of likely look‑alike letters and common words from that language and era for you to practice recognizing.

11. Search‑strategy brainstorming

    • Paste a brief case summary and ask: “List 10 alternative search strategies for this ancestor across major and minor online databases, including wildcard patterns and negative search ideas I should log.”[denyseallen.substack]​

12. Citation skeletons

    • Ask the model to output generic citation templates for specific record types (e.g., U.S. federal census, county deed books, civil registration indexes), then customize with your own data and style guide.

13. Case‑study outline drafting

    • Provide a working proof summary and invite an outline for a case‑study article organized by research question, evidence groups, conflicts, and resolution, which you then heavily revise in your own voice.[aigenealogyinsights]​

14. Narrative ancestor sketches

    • Feed in a fact‑checked timeline with sources and instruct the model to draft a neutral, non‑fiction narrative (no invented detail) suitable for a family history blog post, then edit for accuracy and tone.

15. Blog post structure and titles

    • Paste rough notes about a research problem; ask for several alternative post outlines and SEO‑aware titles and subheads aimed at other researchers working in the same county or record set.

16. Teaching handouts and quizzes

    • Provide your lesson objectives (e.g., “Intro to land records for beginners”) and have AI propose a one‑page handout structure plus short quiz questions or scenarios, which you then fact‑check and adapt for your class.[nwsgenealogy]​

17. Checklist generation for projects

    • Use AI to build reusable checklists: “Create a pre‑publication checklist for a proof argument article” or “Checklist for starting research in a new European village.”[aigenealogyinsights]​

18. Record set comparison tables

    • Ask the model to help you draft a table comparing two jurisdictions’ vital registration practices (start dates, coverage, access conditions) to include in teaching slides or blog posts.

19. Ethical and methodological scenarios

    • Generate short, anonymized case scenarios about evidence conflict, DNA surprises, or privacy decisions that you can use in workshops or study groups to discuss best practices.

20. DNA explanation aids (non‑interpretive)

    • Have the model explain general autosomal DNA concepts, shared centimorgans ranges, and segment basics in plain language, then you apply your own interpretation to specific kits using established DNA tools.

21. Repository visit plans

    • Give AI your upcoming archive visit (location, time, research goals) and ask for a prioritized pull‑list and daily schedule, including which series to request first and what to photograph vs. abstract.

22. Newsletter and email drafts

    • Use it to draft short update emails to cousins or client‑style summaries (“What we tried this month, what we found, what’s next”), then edit to ensure every statement reflects your actual work.

23. Prompt libraries for recurring tasks

    • Build a private collection of tried‑and‑true prompts for specific workflows (deed abstraction, locality briefs, blog outlines) and ask AI to help you organize and label them for quick reuse.[aigenealogyinsights]​

24. Idea mining from your own blog archive

    • Paste a list of your past post titles or brief excerpts and ask for suggested series themes, follow‑up topics, or cross‑links that could strengthen your site’s internal structure and editorial calendar.

You can treat these as a menu: pick one research problem on your desk today, run it through two or three of these patterns, and note exactly where AI helped—and where traditional methods still clearly win.denyseallen.substack+2