Alexander Pisemskiy’s Post

Evaluating the Impact of AI on the Labor Market: Current State of Affairs Key Takeaways: 1. While the occupational mix is changing more quickly than it has in the past, it is not a large difference and predates the widespread introduction of AI in the workforce. 2. Currently, measures of exposure, automation, and augmentation show no sign of being related to changes in employment or unemployment. 3. Better data is needed to fully understand the impact of AI on the labor market. 4 .We plan on updating this analysis regularly moving forward to see how the impact of AI on the labor market changes over time. https://lnkd.in/e9EEnyYw

Researchers at Yale say current U.S. labour-market data show no major employment shifts directly caused by AI so far. They caution, though, that long-term effects could emerge as adoption deepens across industries. 🔍 Key Point: “While the occupational mix is changing more quickly than it has in the past, it is not a large difference and predates the widespread introduction of AI in the workforce.” — Yale Budget Lab Yep, AI is a tool to: 1) artificially inflate stock markets & 2) make workers put up with increased exploitation (increased productivity targets, mainly) by creating perceived job insecurity https://lnkd.in/d3FTuXCV

This whole AI hype is the perfect way to put more pressure on workers🤦 TP uses its €100M AI investment to enforce a "System of Total Digital Control", turning the "robot fear" into instant exploitation.😵 TP.ai algorithms manage everything: schedules, breaks, and discipline, tracking every move to force "efficiency" and causing enormous stress. When workers are penalized, managers use the "AI alibi" claiming "it's not us, the machine decided". The result is: workers do more for less, while all the profits and benefits from AI only go to the management, escalating exploitation through a biased, unaccountable system.

Just read Yale’s latest research on the impact of AI on the labor market — we are still far away from a toaster posing an existential threat. Despite all the noise, the data shows no clear evidence (yet) that generative AI has caused broad shifts in employment. The occupational mix is changing — but slowly, and much of that was already underway before ChatGPT went mainstream. The takeaway? We’re still in the early innings of AI’s real economic impact. The next phase will be less about job loss — and more about how work gets redesigned, productivity gains, and sector-specific transformation. Worth a read for anyone shaping investment theses, workforce strategy, or policy around tech adoption. https://lnkd.in/ddMuA-Et #AI #FutureOfWork #LaborMarket #GenerativeAI #InvestingInAI #TechDisruption #YaleResearch #Productivity #WorkforceTransformation

"Amidst much confusion, polarization, and debate around how AI will impact work, the fact of the matter is that many people are concerned by automation and the prospect of AI job elimination. For example, the simple notion that “AI is going to take my job” is a thought that has crossed the minds of 25% of workers. For some, this may be true, although the magnitude of AI-driven job displacement is still uncertain; depending on assumptions, AI-driven job displacement could potentially range from 3% to 14%. What will the ultimate figure be? It’s hard to know: nobody has data on the future, and any projection is merely extrapolating from past data and past innovation, which may or not be relevant to the AI age." https://lnkd.in/gde5zmaC

The impact of AI on the labor market may not be as dire as assumed - check out The Budget Lab's report for all of the insights 👇 https://hubs.la/Q03Ncqng0

Every few weeks, a new headline warns that AI is about to replace half the jobs in America. But according to a new analysis from The Budget Lab at Yale, the reality is much less dramatic, and a lot more familiar. Nearly three years after ChatGPT hit the scene, there’s still no measurable disruption in the overall U.S. labor market. The study found that the “occupational mix” — basically, who’s working where — is changing only slightly faster than it did during past tech shifts like the rise of the internet. And most of that change actually started before generative AI went mainstream. In other words, AI may be powerful, but the job market hasn’t noticed yet. This doesn’t mean disruption won’t come. It just means, like most big technological shifts, it’s probably going to unfold over years, not quarters. The authors also point out something I think is spot on: we still don’t have great data on how AI is actually being used across industries. For business owners and investors, the takeaway is simple: stay curious, not fearful. AI is a long-term productivity story, not a short-term labor shock. You can find a link to the analysis here: https://lnkd.in/ei5v8efC

Yale’s Budget Lab offers a data-driven look at AI’s impact on jobs - and the findings challenge the broad notion that AI is replacing people en masse. While we may debate the conclusions, the analysis provides a thoughtful baseline for tracking real impacts over time. Read more: https://lnkd.in/eifbCF9b #Yale #AI #FutureOfWork #LaborMarket #GenerativeAI

How is AI reshaping the U.S. labor market? A new report from The Budget Lab at Yale examines the effects of generative AI following the introduction of tools like ChatGPT in late 2022 on employment trends across the U.S. workforce. 🔍 Key insights: Worker distribution across roles has shifted slightly faster than in past tech transitions, but the overall impact remains modest and consistent with historical patterns. There’s no clear correlation yet between AI exposure (tasks that could be automated) and changes in employment or unemployment rates. Data limitations make it difficult to capture the full picture—current measurements reflect early adoption stages rather than enterprise-wide integration. 📊 What this means for leaders: Treat AI as a gradual evolution, not a sudden disruption. Invest in stronger data collection to track AI adoption and task-level effects. Combine scenario planning for long-term AI shifts with attention to incremental, real-time changes. The takeaway: AI’s labor market impact so far looks evolutionary—not revolutionary. For a deeper look into methodology and sector findings, see the full report here: 👉 The Budget Lab at Yale Report - https://lnkd.in/eqFuDVaG 

The honest truth is that today’s workforce isn’t actually enabled with AI. When we ask teams in financial institutions how many of them use AI in their personal lives, around 60-70% of hands go up - perhaps no surprises there. But when we ask about AI in their professional lives, that number drops to around 10-15%. The gap tells you everything you need to know. It’s not that people don’t want to use AI, it’s that they’re not yet equipped to. Partly because the tools aren’t readily available and partly because the risk and compliance concerns are still real. But that divide between personal comfort and professional enablement is where an opportunity lies. The workforce of tomorrow will look very different. They’ll have AI agents embedded in their daily workflows, they’ll review, not rekey, and they’ll spend time on high-impact work, not admin. That’s the shift we’re seeing first-hand but until AI is embedded across the front, mid, and back office, we’re only scratching the surface of what this technology can do. #AIAdoption #AgenticAI #FutureOfWork #FinancialServices #LendingInnovation