Has anyone used AI to evaluate a portfolio? They are all advancing so fast; I wonder which one would be good to use, if any. I just spent a few hours using Perplexity and it was able to explain clearly why it was recommending certain plans, but I am still unsure because AI has led me astray before. Gemini didn’t do a good job previously or today. I was evaluating my options based on current holdings in terms of timing and return to determine how many months I could travel every year.

Has anyone ever been asked to do an AI interview? Maybe I’m getting old, but the idea doesn’t leave a great taste in my mouth. The problem is I’m absolutely miserable at my current job and have been trying to GTFO for several months with no success (though I do have some early stages human interviews lined up). Should I put my reservations aside and just do the AI screener? Or is this going to be the new normal now and I shouldn’t have reservations in the first place?

Most companies think the AI race is about GPUs. It isn’t. The real bottleneck is skilled field manpower. AI infrastructure requires experienced teams for: • structured cabling • fiber infrastructure • rack & stack • BMS / EPMS support • commissioning • testing & remediation • high-density GPU environments We help companies solve deployment and hiring challenges with 200+ experienced data center technicians, splicers, leads, and field personnel with 2+ years of experience.

Just out of curiosity, what type of AI tools or training have some of you finance professionals done or heard of that you have found useful to optimize any of your reporting or monthly/quarterly workflow tasks. I work in defense, so obviously we have special sensitivity regarding 3rd party tools...so open-sourced things like chatgpt are a no-go. Just kinda curious if there are any good courses or tools anyone found helpful to understand how AI can help us...

NVIDIA IC3 vs Series E TLM decision: NVIDIA offers strong long-term upside—brand value, internal mobility (Hyderabad), and platform exposure—but requires stepping back from management into an IC role. Series E TLM provides higher compensation, current management scope (team of 5), and stability in the short term, but comes with startup volatility. Priorities: management growth, relocation to Hyderabad, and avoiding re-entering the job market.

NVIDIA IC3 vs Series E TLM decision: NVIDIA offers strong long-term upside—brand value, internal mobility (Hyderabad), and platform exposure—but requires stepping back from management into an IC role. Series E TLM provides higher compensation, current management scope (team of 5), and stability in the short term, but comes with startup volatility. Priorities: management growth, relocation to Hyderabad, and avoiding re-entering the job market.

NVIDIA IC3 vs Series E TLM decision: NVIDIA offers strong long-term upside—brand value, internal mobility (Hyderabad), and platform exposure—but requires stepping back from management into an IC role. Series E TLM provides higher compensation, current management scope (team of 5), and stability in the short term, but comes with startup volatility. Priorities: management growth, relocation to Hyderabad, and avoiding re-entering the job market.

When AI Agents Start Buying for You — The Next Frontier in Commerce Imagine this: you tell your AI, “Book me a flight to Barcelona next week,” and minutes later your ticket is booked, seat selected, and confirmation sitting neatly in your inbox — all without you touching a keyboard. https://www.linkedin.com/feed/update/urn:li:activity:7360928162081296385?rcm=ACoAACGuoR8BN6bUwzjJ6VWz1urNC37W_5i0yRw

I've asked chatgpt to rework my cv, while the revised version does read impreaaive but it also reads like words strung together that don't mean anything.. anyone else find this? Anyways I'm curious if recruiters can tell if it's AI, will it be flagged through screening? Anyone have positive experiences using AI for CV updates?

What will we do once AI can do my current job? Am I doom and gloom or is it a valid question? I am currently in process documentation and optimization and although it’s not good enough yet, AI has gotten significantly better in the past 2 years. Am I just SOL after the programs get good enough unless I pivot myself?