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AI made PMs faster. Multiplayer mode is still broken.

A PM can summarize research, draft a PRD, and mock up a prototype before lunch. The hard part starts when the team has to decide what actually gets built.

Jira Product Discovery gives product teams one place to capture insights, prioritize ideas with consistent frameworks, and build living roadmaps stakeholders can rally around.

And because it’s connected to Jira, the context behind every decision stays with the work—so developers and their agents know not just what to build, but why.

AI helps PMs move faster. Jira Product Discovery helps the whole team build with confidence.

TODAY IN AI

3 things that happened while you were busy

1. Apple enters the John Ternus era with AI stitched into every product. Apple's first keynote under its new CEO delivered a foldable iPhone, new Pro models, refreshed watches, and AirPods, and every one of them shipped with AI features rather than a single headline assistant. Ternus took over from Tim Cook on September 1, so this was his first real test. Our Frontier section below covers every announcement, or watch the two-minute recap.

2. Suno launches v6, its first model built on licensed music. The v6 family was developed with Warner Music Group, BMG, and Believe, and Suno says every older model will be retired as it rolls out. There are three tiers: v6 and the less predictable v6-wild for paying subscribers, plus a free v6-mini. New tricks include plain-language song edits and prompts that accept images, video, or audio, which could make AI music far easier to clear for commercial work.

3. Anthropic releases a simulator for how AI could reshape the economy. The Econ Scenario Explorer lets you set your own assumptions about AI capability and adoption, then shows projected US growth, wages, and unemployment through 2030. Its most extreme case pairs 15% annual GDP growth with knowledge-worker unemployment near 18%, or about 12% economy-wide. The authors are careful to call these scenarios, not predictions, in the full working paper.

Bonus reads:  Fortune breaks down the three futures in plain language, plus The Next Web on why some economists are already pushing back.

FROM THE FRONTIER

Apple skipped the chatbot race and put AI in your pocket instead

The setup. Apple has spent two years watching OpenAI and Google define what AI looks like while Siri's promised upgrade slipped. Then Tim Cook stepped down, and John Ternus, a hardware engineer who has been at Apple since 2001, walked on stage eight days into the job. The question was whether a product engineer would answer the AI question with products. He did, five of them.

The foldable. The iPhone Duo is Apple's first foldable, with a 5.4-inch outer screen that opens into a 7.6-inch inner display, and it costs $1,999. The part Apple wants you to notice is the hinge, which was designed with AI to avoid the glued-together feel of rival foldables. Two apps run side by side, and the trailer leans hard on that open-and-close moment.

The camera. The iPhone 18 Pro and Pro Max get a 48MP main camera with the first variable aperture on an iPhone. The quieter story is Reference Image, an AI feature that signs every pixel at capture so any later edit can be checked against the original. In a year of deepfake anxiety, Apple is selling provenance as a camera spec. See it demonstrated.

Siri, finally. Siri AI launches in beta with iOS 27, and Apple says it holds a real back-and-forth conversation, sees what is on your screen, and pulls context from your apps. A standalone Siri app syncs your history across devices. This is the piece Apple has delayed twice, so the beta label matters. Judge it in October, not from the keynote.

The wearables. Apple Watch Series 12 and Ultra 4 keep their hardware but add Live Rewind, which transcribes the last 15 seconds of a conversation, and Siri Recap for meeting summaries. AirPods 5 get Live Translation, spoken into your ears in real time. Neither needs you to open an app, which is the pattern across the whole event.

The reframe. OpenAI and Google sell AI as a destination you visit. Apple is selling it as a property of the object already in your hand, your ears, or on your wrist. If that sticks, the winner of the model race matters less than who owns the default position, and Apple has 2 billion of those. The bet only pays if Siri AI works. Everything else at this event was the hardware waiting for it.

IN THE KNOW

What people are actually watching and sharing

Lost in translation. IShowSpeed tested AirPods 5 Live Translation with a Japanese fan live on stream, and could not believe it worked, right up until one line came out very wrong (70K likes).

Foldable frontier. Builders are already sketching apps that only make sense on two screens and a hinge. Superframeworks has 10 iPhone Duo app ideas and a playbook for shipping the normal iPhone version first.

Back to the '80s. The ChatGPT '80s photo trend has taken over feeds this week, and the reactions are half nostalgia, half horror. Mashable rounded up the prompts people are using if you want to try it on yourself.

Feed cleanup. One early Muse user asked Meta's new agent to build a Tinder-style app for pruning his Instagram following list, and it did, along with a Rube Goldberg machine for unfriending someone on Facebook.

Pocket coach. A builder trained a computer vision pipeline on plain iPhone video to track ball speed, forehand versus backhand, and body position at contact, turning every tennis practice into a coaching session (215K views).

Audit any spreadsheet for errors in one pass

Every team has one spreadsheet nobody fully trusts. This prompt turns ChatGPT into a line-by-line auditor that hunts for broken formulas, hard-coded numbers hiding where formulas should be, and totals that quietly stopped reconciling. Upload the file, fill in the brackets, and you get a ranked fix list instead of a vague sense of dread.

COPY AND PASTE THIS PROMPT

ChatGPT Prompt: Act as a meticulous spreadsheet auditor specializing in [finance/operations/budgeting/forecasting]. Audit the attached [Excel/Google Sheets] file for errors, inconsistencies, and risks. The spreadsheet is used for [describe purpose], and the most important outputs are [revenue forecast/cash balance/budget variance/KPIs/etc.].

Review every relevant worksheet and check for:

Broken, inconsistent, or suspicious formulas

Hard-coded values where formulas would normally be expected

Missing, blank, duplicated, or incorrectly formatted data

Inconsistent assumptions, units, dates, currencies, or percentages

Totals or subtotals that do not reconcile

Errors that could materially affect the spreadsheet's key outputs

Create an audit table containing: Sheet/Cell, Issue, Why It Matters, Severity, and Recommended Fix.

Make it yours: Swap [describe purpose] with something specific like "monthly marketing budget", "inventory reorder planning", or "payroll for 40 staff". The more precise the purpose, the sharper the severity ratings. For a faster read, add one line at the end: "Rank Severity as Critical, High, Medium, or Low, and list the three fixes to make first."