#generativeai

Anyone from IT Security here? Are they monitoring keystrokes and applying AI to it? How much is activity on your computers surveilled?

This is getting awful now. More red tape in an AI age
Who is tired of how bad this rollout has gone? Product owners have no clue as well as STS leaders. The engineers suffer

Together with this plus GCC and stuck in PCF nothing can stop the death of the engg culture

Curious: has AI fixed all the problems yet? Or is everything still broken?

Brace yourselves for potentially massive layoffs. This is reportedly confirmed by a senior IT source. And, of course, AI will likely get the blame.

If you've been working after hours, you might want to consider spending some of that time looking for alternatives and preparing for what's next.

Cognizant is rolling out a new AI platform for Centene. It will launch in 2027 and will replace most humans. What AI can’t do, they are hiring H1-B outsourcing. Look up Cognizant & Trizetto.
This is the program Sarah was talking about in the last townhall. Our old outdated billing systems are going away.

https://nishadil.com/news/cognizant-clinches-500-million-contract-with-centene-to-roll-out-its-trizetto-platform/0ae3bd3e09eedfe7164bcc1833b4f7a9

Long story short, open source and open weight models have come a long way and pulled ahead in the AI race. You now have FREE models from Deepseek and Kimi, which are as good or even better than the best Anthropic model for coding. It has seriously gotten that absurd now, you would not believe it but it is true . Deepseek V4 Flash is basically a Mythos tier model and dirt cheap.

Which brings me to why are we paying Anthropic thru our noses and burning Illumina's free cash flow? It should be prudent for any leader with a conscience to save Illuminas profits for share buybacks and capex for innovation. Please don't burn money on Anthropics overpriced and lower quality AI models, and open up Illumina's Cursor plans to start using Cursor's models or Kimi or Deepseek. Mind you these are now hosted all on American clouds and so no data is given to China. Save our money. Pump our stock, not Anthropics IPO.

Make Illumina Rich Again.

I'm finding it increasingly difficult to watch our engineering colleagues get systematically rebadged over to Cognisant while leadership pretends everything is fine. We used to have leaders who held the line. Now we've traded them for an executive team whose strategy consists of crossing their fingers and asking AI what to do next

How is your AI project going?

Wouldn’t a big win be using those two for AI as is very in vogue at the moment ?

Or look at the land and see if you could build a new AI DC room attacked to them ?
That would make sense though.,.

At this point I'm just waiting for it. The past few years have been horrible. Every all hands meeting is like the Oscar nominations, (except the last one). Managers congratulating each other of the great Job they did. The work get's more and more dummed down to a point that it is actually harmful to your career. Sop's on top of SOP's with exceptions. Last count our team had 17 SOP's, totally insane and proof of total Management failure. The AI is totally BS and can't do anything, I stopped correcting it, just let it go, don't care anymore. Just give me my redundancy and that's it.

Visa cutting over 300 Bay Area jobs for AI

++++Was this part of the cost reduction from last week (July 27, 2026) OR there are more to come in October 2026=++++++

https://www.kron4.com/news/technology-ai/visa-cutting-over-300-bay-area-jobs-for-ai/amp/

(KRON) — New California state filings show Visa will axe 320 employees on Oct. 1 at its Foster City office. The local cuts represent just over 12% of last weeks sweeping 2,600 layoffs first reported by Bloomberg.

According to a memo it reviewed, most of those layoffs were in the firm’s technology and product operations divisions.

Brown & Brown is implementing an AI-first strategy across its 23,000 employees, aiming to enhance capabilities and drive growth rather than reduce headcount. The insurance brokerage views artificial intelligence as a tool to improve productivity and customer service, not as an expense-reduction measure. While employees' roles will evolve, the company emphasizes training and tailored solutions to ensure successful adoption. Leadership commitment is deemed crucial for integrating AI effectively into business operations. This AI push occurs as Brown & Brown continues its expansion through hiring and acquisitions.

Daytona Beach, Florida

https://sea.peoplemattersglobal.com/amp/news/ai-and-emerging-tech/ai-push-will-not-lead-to-major-layoffs-brown-and-brown-ceo-51214

The E. W. Scripps Company is preparing to lay off employees at its local television stations. This move is part of an initiative to integrate more automated systems, including AI, into news production. Readiness meetings have been held with affected staff to discuss these upcoming changes. Job notifications are expected to begin on Tuesday. The exact number of affected workers and specific roles remain unclear.

Omaha, Nebraska

https://thedesk.net/2026/08/scripps-preparing-job-cuts-automaion-ai/

Brown & Brown does not expect its push to deploy artificial intelligence across the brokerage to lead to significant layoffs, according to president and CEO Powell Brown (pictured), who described the technology as "a growth tool rather than a cost-cutting exercise."

https://www.insurancebusinessmag.com/us/news/technology/ai-push-wont-trigger-major-layoffs-brown-and-brown-ceo-584689.aspx

Amazon built an AGI lab 18 months ago. Now it's gone.
The team was trying to build agentic AI.
Amazon opened the lab in December 2024 with high hopes.
Both of its top leaders quit before the latest cuts came.
The work was folded into a fresh round of layoffs.
Amazon would rather sell AI tools than build the smartest one.
The giant that wants to power everyone's AI for $200B.

Dan, not a new idea but BAU and AI Connect strategy launched way before you joined buddy.

https://telcomagazine.com/news/verizon-signs-us-1bn-deal-to-connect-googles-data-centres

https://thenextweb.com/news/oracle-wisconsin-datacentre-power-7-billion-collateral

To guarantee the electricity for a single AI data centre in Wisconsin, Oracle says it could have to post more than $7 billion in collateral, plus over $100 million a year. The regulator behind the rule will not back down, and a fresh credit downgrade suggests it has a point.

https://www.youtube.com/watch?v=6A9QibZBDuE

We don’t want AI Data Centers in our backyard!

https://www.theguardian.com/technology/2026/jul/14/meta-ai-mass-layoffs-lawsuit?utm_source=firefox-newtab-en-us

The downgrade reflects rising business risk and weaker cash flow driven by a massive, capital-intensive AI infrastructure buildout and high customer concentration (e.g., OpenAI). The rating outlook remains stable.

https://www.spglobal.com/ratings/en/regulatory/article/-/view/type/HTML/id/3592348

From Google AI itself (word for word): the model can confidently predict an incorrect relationship between ....

A week or so ago I had asked Google about wood flooring (for a potential remodel), specifically some details about standard wood floor thicknesses today versus what might be seen in older homes. At one point in the Google AI response, it came back stating 7/8 inches was smaller than 3/4 inches. Of course, I challenged this and Google corrected itself with an explanation of why it happened. I wish I had captured the response back then, but I was able to coax Google to explain the error again. Below is Google's response:

Why The Error Happened
The mistake occurred because large language models (LLMs) do not naturally perform mathematical operations the way a computer calculator does.How I Process Text: LLMs predict the next most likely word or token based on patterns in data.The "Token" Problem: Because fractions like 7/8 and 3/4 are read as text patterns rather than numerical values, the model can confidently predict an incorrect relationship between them based on how they appear in sentences.The Missing Step: I failed to run the background Python interpreter to convert those fractions into decimals (0.875 versus 0.75) to verify the math before outputting the answer.Without that code execution check, the text generator generalized incorrectly, leading to that math error.

Understand, Dan (and cronies)?

Further targeted layoffs are likely as part of sustained cost discipline. Q2 earnings (July 24) will provide the next update.

Look around AT&T and you will many executives with a strategy title. Why not leverage AI to define our strategies and reduce executives responsible for this. When u listen to these folks talk they are saying the same thing financial analyst are already saying about AT&T. Everyone can come up with strategies, why overpay someone for this.

Microsoft is providing laid-off US employees with a substantial severance package. Most employees can receive up to 39 weeks of base pay, with a minimum of 60 days. The duration of the severance is determined by an employee's seniority and tenure with the company. Additionally, eligible employees will receive continued stock vesting for up to 12 months and six months of paid health insurance. These benefits are part of broader cost-cutting measures and significant investments in AI infrastructure.

https://www.businessinsider.com/microsoft-severance-offers-layoffs-plan-2026-7

The gist: AK wants more AI so there can be more RAs.

https://www.inc.com/chris-morris/ibm-ceo-krishna-has-a-message-for-founders-treat-ai-as-day-zero/91369085

Not so shocking report from Mistral - if companies use closed AI models then these models from vendors will end up learning the business operations of these companies and make them redundant!

Is SAP using closed or open AI models?

https://the-decoder.com/mistral-ceo-mensch-says-proprietary-ai-models-give-labs-a-front-row-seat-to-your-business-processes/

Ford Motor Company had to rehire hundreds of veteran human engineers after artificial intelligence and automated quality-control systems failed to match their expertise and resulted in design and manufacturing issues.

AI lacked human intuition and judgement.

Ford's AI Misstep
The Situation: Over the past few years, Ford aggressively leaned on AI and automation to handle vehicle design and quality checks.

The Failure:
Executives admitted that the automated systems lacked the nuanced, real-world judgment required to catch nuanced design weaknesses, leading to costly issues.

The Solution:
Ford brought back, hired, or promoted roughly 350 veteran ("gray beard") engineers. These human experts are tasked with mentoring younger employees, fixing the errors missed by machines, and retraining Ford's AI systems so they are actually useful.

https://nypost.com/2026/06/29/tech/ford-rehires-experienced-engineers-after-ai-misses-the-mark/?utm_source=twitter&utm_campaign=nypost&utm_medium=social

Companies poured billions into AI with sky-high expectations. It was supposed to be the ultimate productivity hack — slashing costs, supercharging innovation, and delivering effortless competitive advantage. Executives bet big that generative AI and automation would be the simple solution to margin pressure, talent shortages, and sluggish growth.

Now the reckoning is here.

Early pilots looked magical. Chatbots answered queries, code assistants sped up development, and analytics tools promised smarter decisions. But scaling those wins across the enterprise is proving far more expensive and complicated than the headlines suggested.

The costs are piling up: massive compute infrastructure, eye-watering energy consumption, specialized talent that commands premium salaries, constant model retraining, and the hidden expense of integrating brittle AI systems into legacy workflows. Many organizations are discovering that AI doesn’t magically replace headcount — it often requires more people to manage, monitor, and refine outputs. Hallucinations, bias issues, and compliance risks add further friction and potential liability.

The result? A growing number of leaders are quietly coming to terms with a harder truth: AI is a powerful tool, not a plug-and-play savior. ROI timelines are stretching. Some projects are being quietly deprioritized or rightsized. The hype cycle is colliding with balance-sheet reality.

That doesn’t mean AI is a bust. Far from it. The companies that will win are the ones treating it as a long-term capability build rather than a quick-fix expense. They’re focusing on narrow, high-value use cases, investing in data quality, building human-AI collaboration models, and being honest about both the upside and the total cost of ownership.

The era of “just add AI” is ending. The era of thoughtful, disciplined AI adoption is beginning.
What are you seeing in your organization — genuine transformation or mounting costs? Curious to hear real experiences.

#AI #Leadership #BusinessStrategy #TechAdoption

I work for corp and it’s been scary watching this AI hype play out over the last few months . It started with managers mentioning copilot very often now it’s turned into department wide training . In any meeting led by a director or above , they literally will start off by saying something like “i used copilot to write my into today”

The part that worries me is they are literally telling us to use it for emails. Eventually the entire department is just gonna be corresponding to eachother with robotic AI garbage .

Sure i understand the power of AI and it can be used in many ways . But to force it down 100+ employees and make them implement into their work stream just feels so weird . I’ve never had less faith in a company than i do now. I’ve frequented this sub for the 5 years I’ve worked here but i never expected it to actually be this weird

PwC Global Chairman Mohamed Kande challenges the common narrative surrounding AI-driven layoffs. He asserts that businesses adopting AI at scale are frequently expanding their workforces. AI creates new demand for roles in implementation, governance, data, and client delivery. PwC's internal jobs data supports this, showing stronger headcount growth at companies highly exposed to AI. Kande suggests AI primarily leads to job redesign rather than widespread replacement.

https://www.thestreet.com/technology/pwc-chairman-challenges-views-on-ai-layoffs

Stock collapsed. Julie Sweet is done. AI w/Deepseek and Co-Pilot is a bust.

As MB sent a letter to his org 3 hours ago, the era of unlimited tokens is officially over in Oracle. Well, didn't last long and they already threw in a towel, starting rolling out on Monday from AI department of all places.
Everybody will be assigned a weekly limit. I guess we will see on Monday what is the limit.

I think it's a very bad sign, even Oracle lost confidence and this AI bubble is coming to an end very fast. They just now treat it as an expensive limited resource to augment productivity, no pipe dreams of full automation and some revolution. Energy cost grounded this whole thing very quickly.

https://www.gartner.com/en/articles/ai-workforce-costs

The "do more with less" ideology—and the hiring freezes built on the promise of Copilot and AI efficiency—is already hitting its first major structural cracks.
We are currently transitioning from the "Hype Phase" to the "Reality Phase." In corporate cycles, this specific ideology usually has an expiration date of 18 to 24 months before the operational failures become too loud for executives to ignore.
The decline of this mentality is tracking along three distinct horizons:

The Wall Street Journal evaluates how 500 leading US corps stack up in 6 areas: AI readiness, innovation, talent readiness, financial fitness, resilience and agility.

AT&T ranks #375 overall with an Overall Score of 44.2, making it a clear laggard in the table. The headline surprise is that AT&T has a strong AI Rank of #33, close to Verizon’s #26 and well above many industrial and financial firms. Innovation is also not terrible at #181, which suggests the table does not see AT&T as technologically irrelevant.

The issue is that AT&T fails to convert AI readiness into broad future-readiness. It ranks #390 in Talent Readiness, #352 in Resilience, and #465 in Agility, which overwhelms the positive AI signal. The Goldman-style read is that AT&T looks like a company with technological investment capacity but legacy operating drag. The data suggests it may understand the AI transition, but the corporate system does not yet look adaptive enough to benefit fully from it.

Source:
https://www.wsj.com/rankings/best-companies-for-the-future/full-rankings-2026

The Wall Street Journal evaluates how leading US corps stack up in 6 areas: AI readiness, innovation, talent readiness, financial fitness, resilience and agility.

Oracle ranks #91 overall with an Overall Score of 57.7, just below the Software & Services industry average of 58.1. Its standout attribute is extraordinary: Innovation Rank #7, one of the best scores in the entire dataset. Talent is respectable at #106, but the rest of the profile is less convincing.

Source:
https://www.wsj.com/rankings/best-companies-for-the-future/full-rankings-2026

The surprising weakness is AI Rank #262, especially given Oracle’s public positioning around cloud infrastructure, data, and enterprise software. Financial Fitness is also weak at #327, while Agility is only #230. The table appears to reward Oracle for durable innovation capacity, but not for being a fully balanced future-readiness leader. The analyst implication is that Oracle has strategic assets, but the ranking does not view the company as operating with the breadth of Microsoft, Salesforce, Adobe, or ServiceNow.

If you work on a control team, your days are numbered. Work that can’t be automated by AI is being shifted to business accountability people. Huge effort to get rid of most controls. Nothing left for anyone to do.

Anyone hearing of layoffs within CRIU for analysts who work cases? This whole AI CoPilot bullsh-t is getting everyone on edge. Doesn't help when C14s consistently say "AI might be taking our jobs soon".

All Health Insurance companies will accomplish by leveraging AI over human being workforce is to provide a lesser quality of services and product to whom should be their customer base.

Will AI save corporations millions if not billions of dollars, which will make shareholders money and also C-suite executives bonuses.

But at the cost of it membership having a lesser, albeit cheaper, quality of services.

Problem is, all Health Insurance corporations consider shareholders to be their customer, not their membership. That is the problem with allowing public stock traded corporations to administer government funded products, such as Medicare.