Starbucks to hire thousands of 'coffeehouse coaches'

 

Anthropic just dropped Claude Tag — and it's way more than a Slack bot 🤖
Imagine having a teammate who never sleeps, remembers every conversation, and can actually do the work you delegate — all inside Slack. That's Claude Tag, and it's available now in beta.
Here's what makes it different from the AI tools you're already using:
👥 It's actually multiplayer. One shared Claude in your channel that everyone can @mention, follow along with, and pick up conversations from. Not a separate chatbot for each person.
🧠 It learns your team's context. No more re-explaining projects from scratch. Claude builds memory about what's happening in your channels over time.
It takes initiative. With "ambient mode" on, Claude proactively surfaces info and follows up on threads that went quiet. It's not just waiting for commands — it's paying attention.
It works asynchronously. Delegate a task, and Claude pursues it for hours or days, reporting back when it's done.
The security stuff enterprises actually care about: Admin controls for token spending, full audit logs of every action, and complete isolation between different Claude setups (your sales Claude and engineering Claude don't share memories).
Why this matters: Anthropic says 65% of their own product team's code now comes from their internal Claude Tag system. And with a $965B valuation and $47B run-rate revenue, they're betting big that the future of work is AI agents living where your team already communicates.
The catch? Once Claude has months of your team's institutional memory, switching to another AI gets really hard. Plus, having an AI "ambiently monitor" your channels raises new governance questions most companies haven't figured out yet.
The battle for enterprise AI isn't about who has the best model — it's about who owns the room where work happens. Anthropic just grabbed a permanent seat at the table.

According to the S&P, job cuts at U.S. factories ran near their highest levels since the end of the global financial crisis in 2009 and the Covid-19 pandemic.




At the same time, the big indexes are hovering around record levels, helped by strong reported earnings and a handful of mega caps tied to the AI buildout, pulling most of the weight. That gap between weak factory employment and high asset prices naturally feeds fears of a crash or a sharp correction, but it also feels like something more structural is changing and establishing shape. It is the anxiety of watching AI and automation chip away at old, supposedly stable industries while a long, grinding inflation cycle erodes real purchasing power and keeps sentiment depressed.

On the other side of that tension, AI infrastructure and software are where capital and actual demand seem most concentrated right now, with hyperscalers and platforms committing huge, multi‑year budgets and a small set of names carrying the index. So instead of a clean bubble or a clean slowdown, it looks more like a messy transition period where the market is trying to reprice toward a new set of winners while the real economy digests job losses, policy shocks, and a different labor and inflation regime.

🎰 Oh great, Zuck is at it again. 😂

Remember how Meta copied Snapchat to make Stories, TikTok to make Reels, and Twitter to make Threads? Well, now they’re reportedly setting their sights on prediction markets like Polymarket and Kalshi.

According to a new report, Mark Zuckerberg has made a top-secret prediction app called "Arena" a major priority for the company. The plan? Use the massive user bases of Facebook and Instagram to finally catch up to the competition.

But wait, there’s a catch...

Instead of letting users bet real money on things like elections, pop culture, or the weather, Meta’s new app will reportedly use a video-game-style points system. Because nothing says "high-stakes thrill" like winning a digital badge or a sticker, right? 🙄

To be fair, Meta did try this exact same thing before with an app called "Forecast" back in 2020. It used points, nobody cared, and it shut down in 2022. Insiders say Meta hasn't ruled out adding real money eventually, but given Meta's track record, they'll probably launch it right before prediction markets get banned anyway. 🤷‍♂️

What do you think? Would you ever mess around with a Meta prediction market if you could only win "points"? Or does this sound like another flop? Let’s argue about it in the comments! 👇

Starbucks plans to hire thousands of additional full-time leadership roles inside its coffee shops this year. The company will start this month by hiring 300 "coffeehouse coaches, who will act as assistant store managers. More will be hired later this year.


Eventually, most of the chain's company-operated shops will get the roles. About 90% of these coaches are expected to be promoted from within.

Starbucks has 62 stores with these roles, and the company says that it led to improved customer experiences and more consistent performance. The roles also help the company develop new leaders while store leadership gets assistance and hourly workers, whom Starbucks calls partners, get better support.

This is part of the coffee shop giant's efforts to improve the operations of its stores to improve service. The company has added workers to its stores, improved the operations of its mobile app, and is remodeling stores across the country.
The first read on the U.S. economy for June (S&P Global Flash US PMI) shows business activity accelerating for a third straight month, with manufacturing especially strong. However, underneath that headline improvement are two concerning trends: employment is falling, and price pressures remain elevated:

> Composite output accelerated but is still subdued, with the flash US Composite PMI Output Index rising from 51.5 in May to 52.2, a five-month high, marking the largest monthly gain since January.
> The current pace is consistent with the economy growing close to a 1% annualized rate in Q2 versus 1.6% in Q1.
> There remains a sharp manufacturing/services split. The Manufacturing Output Index hit 57.7 (a 59-month high), while the Manufacturing PMI reached 55.7 (its highest since May 2022). Services, by contrast, rose to just 51.3 (a four-month high), with growth described as only modest, weighed down by elevated prices, higher rates, and weak confidence.
> Also, manufacturing strength is partly related to war-related precautionary moves, with factories ramping up input buying and building inventories at the fastest pace since September 2021. This points to firms front-running anticipated supply disruptions and price hikes tied to the Middle East war, as stockpiling hit the fastest rate in nearly two decades outside of the 2025 tariff-announcement spike.
> Meanwhile, supplier delivery times lengthened to the greatest extent since August 2022 and are linked to shipping disruptions from the Middle East conflict plus tariffs.
> Employment tracked by this index declined for a second consecutive month (and the third time in four months). Manufacturing headcounts were cut at the fastest rate since the COVID-19 lockdowns of early 2020, with factory job losses even more pronounced. We'll get the full BLS jobs report for June on Thursday, July 2 to verify.
> Although input price inflation fell from May, it remained the third-highest reading since the start of 2023 (and partly aided by lower energy prices late in the survey window of June 11-22). Selling-price inflation held steady at May's pace (the highest since July 2025) with services prices charged rising to an 11-month high.
> Exports of both goods and services kept falling. We'll get the May update on trade in goods this Friday.
> Still, year-ahead output expectations rose to their brightest level since February in both manufacturing and services, helped by hopes that war-related disruptions will ease. At the same time, sentiment stayed well below long-run averages given lingering uncertainty over the war and tariff policy.

Note: The survey panels consist of around 650 manufacturers and 500 service providers. The "flash" reading is based on a subset with about 80-90% of respondents.



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