#generativeai

How is the calculus now that Roshan will have Scott Hallworth reporting to him? Will that end overspend on gen ai or could it accelerate the burn beyond? Is there a purging of Peter's yesmen happening?

Trump is ordering all references to AI in government documents to be changed to SI (super intelligence). So now Optum can become a world leader in SI. I'm sure clinicians will love the new terminology, and Optum leaders will push for more SI in every aspect of the organization!

https://www.bbc.com/news/videos/c8n5d9x10v14o

You would think after the genpact announcement there would be some more stability, but nope .. they have been quietly making more people in every country redundant. Mind you, these are people with 10-25 years worth of specialised knowledge with essential roles who are being let go… only to keep the people who still don’t know what they’re doing. Seriously what the actual f*ck are wrong with these people and decision makers ?!

Again, everyone is now on edge wondering whether they will get the tap on the shoulder next, especially with all the extra focus on introducing AI and the global standardisation project for OTC (sounds like we won’t have any customer service in the future, only AI bots). I feel bad for all the customer service teams I’ve worked with over the years in EMEA, they truly work hard for their customers and now they are being forced to hand over what they do day to day for their customers to a database.

BB needs to f*ck right off please. Hope this all back fires in his face.

Nearly 1,900 Blizzard Entertainment employees have approved a new union contract after two years of negotiations. This agreement includes significant wage increases and improved accommodations for remote work and disabilities. The contract also introduces new protections against potential layoffs, offering extended severance and recall rights. A key feature is the inclusion of guardrails around the use of generative artificial intelligence in the workplace. These protections aim to set new industry standards for game development workers.

Irvine, California

https://www.mmorpg.com/news/nearly-1900-blizzard-employees-ratify-union-contract-with-ai-guardrails-wage-increases-layoff-and-remote-work-protections-2000138889?amp=true

https://www.techpowerup.com/352519/1-900-blizzard-workers-secure-union-contract-covering-gen-ai-layoffs-and-remote-work

 Oracle has been adding backdoor to their flagship Oracle Database for decades, whenever a patch is released to secure some kind of authentication hole or other security hole to bypass authentication, Oracle always add more security hole, they have been consistent to ensure someone can authenticate into Oracle products and do stuff like change database, delete database, these will be revealed in the coming month to serve one putpose: Force worldwide banning of Oracle products so the company collapse and take down the whole AI bubble
 If you work for Oracle, leave ASAP!

ChatGTP lays it out…Super-engineer sure is not pulling his weight.

2025–26 comparison

The comments were in a graph tha cannot be produced here, but this is what is covered:

Company
Recent revenue growth
Employee trend
What it tells us

Teradata

• 5% in 2025
  ~6,500 → 5,100 since 2023
  Shrinking while trying to transform

Snowflake

• 29% FY2026 product revenue
  Growing organization
  Strong cloud/AI demand

MongoDB

• 23% FY2026 revenue
  5,636 employees, up substantially over time
  Strong expansion

Databricks

80% recent YoY growth
Expanding aggressively
Explosive AI/data growth

Teradata’s own numbers are particularly revealing. Its 2025 revenue fell 5% to $1.663 billion, while total ARR increased only 3%. Public-cloud ARR did grow 15%, which is the bright spot—but the company’s overall 2026 guidance calls for only 2–4% ARR growth and revenue ranging from down 2% to flat.

By comparison, Snowflake generated $4.47 billion of product revenue in FY2026, up 29%. Its remaining performance obligations were up 42%.

MongoDB’s FY2026 revenue was $2.46 billion, up 23%, and Atlas—the cloud part of its business—also grew 29%.

And Databricks is in another universe right now: it reported more than 80% year-over-year growth in Q2 2026 and a $7 billion annualized revenue run rate. In August, investors valued the private company at $190 billion.

The employee numbers are particularly telling

Teradata had approximately:
7,200 employees in 2021
7,000 in 2022
6,500 in 2023
5,700 in 2024
5,100 in 2025

That’s roughly a 29% reduction since 2021. Teradata’s SEC filings confirm the 6,500 figure in 2023 and 5,700 in 2024, while its 2025 filing reports approximately 5,100.

And this isn’t simply normal attrition. Teradata’s own filing says it initiated a restructuring to realign sales, reduce expenses and improve efficiency, with employee severance and related costs.

There’s an especially interesting development in 2026: Teradata reportedly told its 5,100 employees that there would be no normal annual salary increases, with the money being redirected toward AI investment. The CEO reportedly described the objective as winning in the market with AI.

And look at the stock:

This is perhaps the most objective measure of whether investors think the transformation is working.

Teradata’s own SEC filing shows that if you invested $100 in TDC at the end of 2020, it was worth $136 at the end of 2025.

The same $100 would have become:

$196 in the S&P 500
$258 in the S&P Information Technology Index

(with dividends reinvested)

So over that five-year period, Teradata substantially underperformed both the overall market and its technology sector.

I would be open to hearing any corrections to the numbers, but it looks like they tell a sad story.

CDO and his cdo s are a joke with no real transformation experience. They replaced one sales guy with another from non banking space. All believe in hero culture no collaboration or empowerment. Frontier banks lead with good data. This team is not it.

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