AI FINANCE BRIEF

Issue #48 · Friday, July 3, 2026 · Free Edition

How finance pros put AI to work — practitioner how-to, not news recaps.

The desks pulling ahead aren't reading more AI news — they're wiring the week's signal into their workflow. Here's today's signal, framed for your desk.

THE WORKFLOW

What moved in AI this week — and how a desk uses it

Lead: Could China Crash The Entire AI Trade?

AI is moving from a markets story into a finance workflow. The desks pulling ahead are wiring it into research, monitoring, and reporting — not waiting for a vendor to package it. Here's the week's signal, framed for your desk.

Why it matters for your desk: This is the week's AI shift framed for a desk, not a feed — the one item that removes manual work is the one to pressure-test first.

On your desk: pick the one item below that touches a task you repeat weekly, and pressure-test where it removes manual work before you scale it anywhere.

🧑‍💼 PRO WORKFLOW

Turn any 10-K into a first-draft IC memo

For the desk · IC Memo & Diligence: A 10-K is 200 pages engineered to be exhaustive, not useful. Extract the decision, not the document.

Build it: Wrap it: SEC EDGAR's free JSON API (no key, just a User-Agent header) pulls the latest 10-K; pipe the text + this prompt to your model. Schedule it to fire the morning after any portfolio name files.

Why it matters for your desk: Run this on a real name this week — the workflow that removes the most manual work is the one to systematize first.

AI STACK FOR THIS TASK

Paste the filing (or its EDGAR URL), then run:

You are a senior investment analyst writing an investment-committee (IC) memo. I will paste a company's latest 10-K (or its EDGAR URL). Produce a structured first-draft IC memo with EXACTLY these sections:
1. BUSINESS MODEL — how the company actually makes money, in 3 sentences.
2. SEGMENT ECONOMICS — revenue mix, growth, and margin by segment (table).
3. CAPITAL ALLOCATION — capex / buybacks / M&A / debt and the trend.
4. RISK FACTORS — the 5 risks that actually matter (ignore boilerplate).
5. RED FLAGS — language, accounting, or disclosure items worth a second look.
6. THESIS — the bull case in 3 bullets.
7. VARIANT VIEW — where consensus could be wrong (your non-obvious take).
8. VALUATION FRAMING — the 2-3 metrics this name should be judged on and why.
9. DECISION — PASS / DILIGENCE / BUY-AT-PRICE + the one question that would change your mind.
Rules: cite figures with the page/section. If a number isn't in the document, write "not disclosed" — never estimate.

First draft lands in ~6 minutes vs the 2-3 hours a memo takes from scratch. You spend your time on the variant view — the part that's actually yours.

📈 RETAIL DESK

Build your own daily watchlist scorer (your 'starter' dashboard)

For the retail trader · Build Your Own Tools: You don't need a Bloomberg or a quant team to rank your watchlist every morning. A ~40-line script and a free LLM get you a starter version today.

Why it matters for your trading: The point isn't a hot tip — it's a repeatable process with an invalidation level written down before you click.

AI STACK FOR THIS TASK

Run this to generate your starter scorer:

You are a Python tutor for a non-programmer. Write a single, well-commented Python script I can paste into a free Google Colab notebook that:
1. Takes a list of tickers I define at the top.
2. Pulls recent daily prices with yfinance (free).
3. Computes THREE simple, transparent signals per ticker: (a) price relative to its own 50-day moving average (a basic trend read), (b) 20-day price momentum (% change), (c) distance from the 52-week high.
4. Blends them into a single 0-100 'watchlist score' with EQUAL weights, and prints a table sorted high-to-low.
5. Explains, in comments, exactly what each signal means and its limitations so I understand it — this is a LEARNING tool, not investment advice.
Keep it under ~50 lines, use only free libraries, and tell me the one line to change to add my own tickers.

Now you own a repeatable morning ranking you fully understand. When you'd rather have this done for you across 600 names with far deeper signals, that's exactly what a service like EPT does — but starting by building your own is how you learn what the score actually means.

◆ AI FOR YOUR FINANCE SEAT

One AI move + one copy-paste prompt for the finance leader's desk — the CFO seat first, then the seats you also wear. ~30 seconds each.

🔒 CSO — Turn a wish-list into a sequenced roadmap unlock in Pro →

🔒 COO — Turn a goal into a runnable project plan unlock in Pro →

🔒 The rest of today's brief is for Pro members

🔭 SIGNAL CONVERGENCE 🔒 PRO

Where the signals converge — This is the part no single-source brief can fake: where independent intelligence streams — macro podcasters, the… unlock in Pro →

🧰 BUILD IT 🔒 PRO

AI moves for finance teams — the rundown — The ranked, finance-relevant set from today's AI-intel synthesis. Each is a candidate to fold into research, diligence,… unlock in Pro →

📊 MACRO-WITH-AI 🔒 PRO

Put the model to work on the macro read — Same extraction pattern, pointed at the macro tape: diff this week's Fed / data / guidance language against last week's… unlock in Pro →

🖥 DECK & MEMO 🔒 PRO

From signal to a committee-ready note — Turn whichever move you acted on into a 3-bullet desk note: what it is, what it changes for our names, and the one… unlock in Pro →

📈 STAY CURRENT 🔒 PRO

Be the analyst who shows up already current — Reviewers remember who makes their job easy. The analyst who walks in already across the week's AI shift — and has a… unlock in Pro →

⚡ THE STACK 🔒 PRO

Everything you need this week — Curated tools + sources to wire this into your desk. unlock in Pro →

🔒 THE DEEPER READ 🔒 PRO

Our edge on today's lead — the analysis, not the headline — The deeper read: The reason to care isn't the headline — it's the CONFLUENCE. The tape is converging on "mega-cap tech… unlock in Pro →

Next → Next issue: another live read from the AI-intel synthesis — what moved and how to apply it.

AI Finance Brief · AI mastery for finance professionals & executives.

Educational how-to and tooling — not personalized investment advice. Not financial advice. No buy/sell calls. Past performance does not guarantee future results; do your own research (DYOR).

Produced with AI assistance and reviewed by a human editor before publication.

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