#discussion

Did I miss something?

It be your boss that's laid off, or you yourself

BP severance was “deselected” by BP but no new package received from Stonepeak yet.

Lots of out of office notifications. What’s up with that?

What’s happening?

https://www.reuters.com/legal/litigation/shell-draws-interest-bidders-including-exxon-8-billion-us-chemical-assets-ft-2026-08-24/

There have been little to no chatter about more layoffs. Is this something to welcome or worry it's the calm before the storm?

Do we know anything or are we shockingly safe for the foreseeable future?

How about elsewhere?

https://www.charlotteobserver.com/opinion/article316910881.html

If micro goes back to tfb what does that mean for smb who were recently hired?

https://finance.yahoo.com/small-business/articles/prove-went-office-inside-charlotte-090000670.html?fr=sycsrp_catchall

Anybody watch the Netflix Boeing documentary “Freefall”? The parallels with what we’re currently doing will have you shaking your head.

What gives?

How is it that this NE App group goes untouched. After completions, probably the worst group of people to have around, just saying…

Since this is an anonymous posting. I would really to know who has been your biggest source of pain in the organization?

This PR story by Sastry appeared in Fortune recently. Fact check this & weigh in with your comments:

AI Won’t Fix A Broken Company. Rewiring it will

By Sastry & M. Sharma

“Every CEO wants to talk about AI’s magic. Almost none want to talk about the boring problems standing in the way.
Picture a railroad that spends billions on the fastest trains in the world, then runs them on the same aging rails. The trains aren’t the constraint. The tracks are. That’s the uncomfortable truth for most enterprises deploying AI today: the technology has never been more powerful, yet only a fraction of companies turn it into measurable business impact. The rest are stacking agents on top of decades of legacy IT, siloed data, and broken workflows, which doesn’t accelerate the business. It just automates the dysfu.ckson. We know this firsthand. Nearly two years ago, our organizations partnered to modernize TIAA’s recordkeeping infrastructure. TIAA is 108 years old and carries the technical debt to prove it. Before we could scale AI, we had to rebuild the foundation underneath it, cleaning data, retiring outdated systems, and redesigning how work actually flows. The payoff: plan sponsors can now change investment options for employees’ retirement plans in days instead of weeks, and digital engagement across TIAA’s millions of participants has risen 13%. None of that came from a flashy AI demo. It came from the unglamorous work most companies skip.

That’s the real story of this moment: AI transformation isn’t a technology project. It’s a business transformation, a change-management project, and an operating-model rebuild that happens to run on AI. Companies that treat it as a tech bolt-on will spend years chasing pilots that never scale.
Here are five focus areas we believe separate the enterprises pulling ahead from those stuck in perpetual pilot mode, and the actions leaders should take now.

1. Modernize the digital core before you scale agents. Don’t layer AI on top of legacy systems and hope for the best. Audit which platforms are actually load-bearing, retire the rest, and rebuild the infrastructure agents will run on. AI amplifies whatever foundation it’s given, good or bad.
2. Treat data readiness as a prerequisite, not an afterthought. Only 5% of businesses say their data is AI-ready, and Gartner predicts 60% of AI projects will be abandoned through 2026 for lack of AI-ready data. The fix isn’t more data, it’s a unified, governed platform with quality pipelines that structure what you already have before it ever reaches a model.
3. Redesign the workflow, not just the task. Automating a broken process just makes it fail faster. Map the end-to-end workflow first, then decide what AI should touch. Apply an 80/20 lens to every role: some jobs will change 20%, others 80%, and the people doing the work are best positioned to say which is which.
4. Keep humans in the loop where trust is the product. When a 73-year-old retiree calls to make a decision about their life savings, that moment requires a different level of care than a chatbot can offer. Put AI in employees’ hands first to make them faster and better, TIAA has rolled out its own generative and agentic platform, GAIT, to 85% daily adoption among colleagues, while reserving high-stakes, high-trust interactions for humans augmented by AI, not replaced by it.
5. Build for resilience, governance, security, and optionality. Stay tech- and model-agnostic so you’re not betting the enterprise on a single frontier lab’s roadmap. Strengthen third-party and cyber defenses as attack surfaces grow, and build audit trails and human oversight into the orchestration layer itself, especially in regulated industries where compliance can’t be an afterthought.
   None of this is glamorous. It won’t generate a headline about a breakthrough demo. But the enterprises winning with AI aren’t the ones with the biggest budgets or the fastest adoption, they’re the ones disciplined enough to do the boring work first: clean data, a modernized core, and workflows rebuilt for how AI actually works, not how it’s marketed.

In the AI era, complexity is a competitive disadvantage that can no longer be hidden behind a sizzling AI experience. The tracks determine how fast the trains can go. Enterprises that rewire the foundation now, not just the technology sitting on top of it, are the ones that will still be running at full speed five years from now.”

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune, TIAA, Accenture, clowns, or goons

Omg these take two with OA videos is so cringey. Wtf are we even doing???

So did AIG move from Cognizant to Mphasis for IT support

why isn't there a 20 minute AI summary? Isn't that what y-all are supposed to be donig now?

Starting a thread for today, please share your department and how many people eliminated. Good luck!

Who’s heard what?

I heard that Sassine approval rate was low in the latest survey. Can any one share the real approval number?

Anyone feeling that all of this new AI agent deployment basically means it’s going to eventually replace all of us at the ground level? That town meeting today was very uncomfortable & felt like they were dancing around that issue.

Hearing maybe something at the end of the month. Anyone else?

Any locations out there where security has been removed?

Why does HCSC still maintain project manager roles? Beyond following up with people, what value do they actually add and why don’t they seem to be held accountable when projects fail? Shouldn’t these positions be considered redundant with us being agile ?

Will SMS deliver on its targets with the new SMS president?

We have all noticed, including people in neighboring departments, that all the fire and fury about AI back in the Spring has disappeared. Also, many national articles about AI buyer’s remorse and people who were laid off being rehired; many errors with AI; AI not reaping any real benefits. Also- I have heard that part 3 of that AI test has been moved back to next year (the one where they want a 6-page thing). AI=dot com bo-m and bust?

Did anyone else get HRR email?
This is the first time getting this

Are others hearing more layoffs in Jan or Sept?

Anyone know any new info on this?

How does this now get swept under the rug of incompetence?

What is everyone hearing

Hehehe. OMG, what a bunch of 🤡🤡🤡 at the helm...

Is the wealth that our nation and economy create being distributed to the working class? This is a serious question, not trolling, just watching news recently and asking myself questions about this as I see a fair level of pent up anger on both left and right sides. I know that there is a layer of folks (I am partially there) that feels that things are OK, I am unsure if my three adults kids would fall into this category. Thoughts?