Live Data Technologies

How are University of Phoenix graduates contributing across today’s workforce? Following a broader discussion around college rankings and career outcomes, J. Scott Hamilton, president and CEO of Live Data Technologies and developer of workforce.ai, analyzed workforce.ai data to explore employment patterns across industries and employers. One of the findings that emerged became his latest “Hiding In Plain Sight” article focused on University of Phoenix graduates and their workforce impact. The findings highlight UOPX alumni contributing across the military and federal workforce, healthcare systems, Fortune 100 companies, and defense contractors. The workforce.ai data also identified University of Phoenix among the leading institutions represented in non-engineering roles across the Mag7 alongside UCLA, USC, and UT Austin. One idea from the article especially stood out: for many working adults, life “can’t be cleanly broken up into semesters.” For many students and alumni, higher education was never about following a traditional path — it was about building career opportunity while balancing work, military service, family responsibilities, and real-life demands. The workforce outcomes reflected in the data highlight the scale at which those learners are contributing across critical sectors of today’s economy. For 50 years, University of Phoenix has focused on serving working adults and helping learners build skills aligned to workforce needs and long-term career mobility. The workforce outcomes reflected here reinforce the enduring importance of that mission. Read the full article: https://uof.ph/aa8jvh   

Workers leave Big Tech for OpenAI. They fan out across a growing ecosystem of startups. Rinse and repeat. Since it launched ChatGPT, the Sam Altman-led company has quickly become a magnet for AI talent. It has pulled hundreds of researchers and engineers from competitors like Google, Meta, and Apple, according to data reviewed by Business Insider. After sticking around for a while, many of those employees go on to found or join rival startups of their own. To get a sense of how OpenAI is faring in the race for AI talent, Business Insider analyzed findings from workforce intelligence provider Live Data Technologies, which used LinkedIn to track the comings and goings of around 1,300 employees from January 2023 to March 2026. Representatives for OpenAI didn't respond to a request for comment. Read more about OpenAI's talent pipeline on Business Insider: https://lnkd.in/ewSNdjVZ (Credit: Getty Images) #samaltman #openai #ai

Dario says AI will eliminate 50% of jobs. America says play Freebird. By now we've all seen Anthropic’s bullseye, included in last week's Public Service Announcement, thoughtfully identifying the professions most likely to make up the 50% of jobs Dario says AI will eliminate within five years. Engineering. Finance. Sales. Management. You know, all the niche functions. It’s easier to prepare for the future than to predict it. But if your function is anywhere near their target, it might be time to start moving. But here’s what’s not going to happen. Fifty percent of the workforce is not going to quietly clean out their desks, hand in their badges, pick up their UBI checks, and shuffle over to the Soma dispensary while the robots take it from here. Why the hope? Show me one example where 50% of Americans capitulated to fear of the unknown and basically said “darn, guess that’s it for me.” Well, ok, the Covid panic doesn’t count. But other than that little episode, this time I don’t expect we’ll surrender to uncertainty. And guess what? There’s already clear evidence that suggests we’re already preparing for whatever the heck is about to happen, not by design but because it’s just who we are. So let's put aside AI-pocalypse future-casting and see if the data gives us an indication how workers will respond when the whole damn economy goes through a hostile takeover. Introducing The Freebird Index Workforce.ai looked at 10.1 million US job changes in 2025 where people left one company for another. In two of the functions Anthropic flags as highly exposed, engineering and sales, the numbers were striking…but in a good way! - 41% of engineers who changed companies moved into a different job function - 48% of sales professionals did the same Said differently, nearly half the time people were changing both employers and the functional nature of their work. The pattern wasn’t limited to those two fields. Across the workforce, job changers frequently move not just to new companies, but into new roles entirely. Surprising, right? Yeah I didn’t believe it either. So we checked 2024 too and saw basically the same dynamic. Out of necessity or ambition, the workforce is already practicing the exact skills the AI transition will demand: functional mobility, professional reinvention, changing cities, carrying one's expertise into new roles and sectors. And Workforce.ai will be tracking all the movements that tell us what tomorrow will look like. Cue Freebird.

I posted this morning that Dorsey's layoffs are the canary. I believe that. Then James Tobyne sent me Greg Ip's great piece in today's WSJ and asked what the broader data suggested. The honest answer (that sounds like a copout): both things are true. And here's where it gets interesting. Some companies will be on the front lines of displacement. Others will deploy AI to move further ahead of their peers and add staff. Such as the Big Tech leaders we highlight here. The story isn't settled, and it won't be because this is unfolding in real-time, company by company, function by function, day by day. Greg argued we shouldn't panic, and he's right. Unless, of course, you work at Block. Analysis here: https://lnkd.in/gPFHDsQV

Of late "AI layoffs" were mostly boring narrative. But yesterday Block made them real. Sir Jack said: "Intelligence tools have changed what it means to build and run a company. A significantly smaller team can do more and do it better." That's Jack Dorsey announcing a 40% cut — 4,000 jobs. And yeah the stock jumped 24%. Because AI. Not downsizing dressed as AI recalibration, but Dorsey flat out saying new tools made roles redundant. And so it really begins. A year ago, engineers were the scarcest resource in tech. now they're a cost center. We think this is the first page of the first chapter. We'll be watching it unfold in real time...company by company, function by function. Dive in to Block here, and do a deep dive on any other company you like at workforce.ai. The signal always shows up in the workforce data first. https://lnkd.in/gUtnaTcE

The people inside the building knew. The bag carriers. The ones staring at pipeline, bookings, renewals, deal velocity, and all the other KPIs that message the future better than any outsider's tea leaves or crystal balls. Investors hammered Salesforce's stock over the past yr. And then they post an earnings and revenue beat, and raise full-year guidance. Sales staff churn is a silent chorus of inside information and we hear every note. The data: https://lnkd.in/dJGW6_z5

Every good analysis starts the same way: a hunch, a question, something that doesn't quite add up. Curiosity was never the problem of course. It was everything that stood between the question and an answer. That gap is closing fast. Here's what that looks like in practice. Salesforce stock is down 44% over the past 12 months. The market is worried AI makes the core product obsolete. Reasonable concern. But people with a front row seat seem to have a different POV. Customers are logging in. Headcount is growing. The company raised guidance last quarter, beat on earnings, and Agentforce just crossed $500M in ARR, up 330% year over year, with 9,500 paid deals. No one's making a call on the stock. We're just noting a tension worth assessing. Web traffic data from Carbon Arc's MCP, headcount signals from ours, a chat window from Claude. That's it. Five minutes. You can see the dialogue here: https://lnkd.in/ge36fdJY Try it yourself: take the prompt in the image and drop it into your chat of choice. Then compare it to the answer generated with CarbonArc and Workforce.ai data. That gap is the whole story. And it's where things are headed.