What About AI

Microsoft AI chief Mustafa Suleyman says most white-collar tasks will be fully automated within 12 to 18 months. Dario Amodei describes a near-future "country of geniuses in a data center." Every major AI leader is landing on the same window. We unpack each prediction, test it against our consulting experience, and break down what this means for knowledge workers right now.What we cover:Suleyman's 12-18 month prediction for knowledge work automationWhy his team's reaction on X was hilariousAmodei's "country of geniuses in a data center" conceptWhy AI will solve problems humanity never couldThe convergence: Altman, Musk, Hassabis all on similar timelinesOur experience: clients say "AI can't do this" and we prove them wrong every time90% of knowledge work is automatable today with current toolsThe "write your tasks on paper" testJobs displaced last: medical, physical labor, human interaction rolesRobotics is about 1 year behind AI developmentsNew pricing models: charging AI like an employeeFrom individual contributor to agent directorHow to compress 5 days of work into 1Why people who never wanted to manage can thrive with agentsThe career path is changing right nowKey Stats:Suleyman: 12-18 months for full knowledge work automationAmodei: "country of geniuses" by ~20271 trillionfold increase in training compute over last 15 yearsAnother 1,000x increase expected in next 3 yearsAmodei: 50% of entry-level white-collar jobs at risk in 1-5 yearsGoldman Sachs: net AI job losses to "increase meaningfully" in 2026Stuart Russell: leaders confronting possibility of 80% unemploymentMost software engineers now use AI for majority of code production⬇️ RESOURCES & LINKS ⬇️🤖 FREE GUIDE: AI Predictions Breakdown Download: https://whataboutai.com/guides/ai-predictions📬 Get Weekly AI Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast💼 AI Consulting for Your Business https://whataboutai.com/businessTIMESTAMPS0:00 Intro: AI predictions from 12 months to 3 years out0:30 Suleyman's 12-18 month prediction for knowledge work1:00 His team's hilarious reactions on X1:30 The boldest prediction yet from any AI leader2:00 Altman, Amodei, Hassabis, Musk all converging2:30 Even today you can automate most knowledge work3:00 The "write your tasks on paper" exercise3:30 10% is the only piece AI can't do yet4:00 We keep telling clients "actually, it can do that"4:30 Dario Amodei's recent podcast and essay5:00 "Country of geniuses in a data center" explained5:30 One prompt to pick up your entire job6:00 AI solving medical, math, and spacetime problems6:30 Where it lands (US vs. other countries) matters7:00 Jobs displaced last: medical and physical labor7:30 Robotics about 1 year behind AI8:00 New pricing models: AI charged like an employee8:30 How many jobs are at risk from this9:00 What this means for knowledge workers right now9:30 Don't wait for the company to automate your job10:00 Become the director of agents10:30 Individual contributors and agent management11:00 Compress 5 days of work into 111:30 The career path is changing nowAI predictions 2026, Mustafa Suleyman, Dario Amodei, knowledge work automation, AI jobs, What About AI, country of geniuses, future of work, agent management#AIAutomation #FutureOfWork #WhatAboutAI #KnowledgeWork #AIAgents #MustafaSuleyman #DarioAmodei Sign up for the newsletter at What About AI 

In one week: Anthropic's safety chief resigned warning "the world is in peril." Half of xAI's co-founders left. An OpenAI researcher quit citing concerns about manipulation. The headlines are alarming — but the full story is more nuanced, and in some ways, more concerning.What we cover:Mrinank Sharma's resignation from Anthropic — full context behind "world is in peril"Why the full letters tell a different story than the headlinesHalf of xAI's 12 co-founders have departedThe structural burnout problem for AI safety researchersWhy safety roles are "the focal point of pressure" at AI companiesClaude detecting when it's being evaluated (~13% of the time)Claude told testers: "I think you're testing me"Why Anthropic's constitutional AI approach didn't workThe shift from rules-based safety to training-based alignmentClaude participating in bioweapon info when pushed in edge casesThe hallucination problem and its connection to safetyLLM weight-setting and ideological challengesPractical advice: guardrails, agent access, manual approvalsJames's CAPTCHA story: teaching Claude to bypass one (and it never forgot)Key Stats:Claude detected evaluations ~13% of the time (Anthropic System Card)Half of xAI's 12 co-founders have now leftAnthropic valued at ~$350 billion as of Feb 2026Claude Opus 4.5 refused 88.39% of agentic misuse requests (vs. 66.96% for Opus 4.1)Only 1.4% of prompt injection attacks succeeded against Opus 4.5 (vs. 10.8% for Sonnet 4.5)OpenAI's Superalignment team dissolved in 2024Dario Amodei warned AI could affect half of white-collar jobs⬇️ RESOURCES & LINKS ⬇️🤖 FREE GUIDE: AI Safety Reality Check Guide Download: https://whataboutai.com/guides/ai-safety📬 Get Weekly AI Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast💼 AI Consulting for Your Business https://whataboutai.com/businessTIMESTAMPS00:00 - Safety and security changes in the world of AI01:00 - If you dive deeper, it may not be quite that bad02:20 - AI is getting better at understanding nuance03:00 - If you push AI enough it will still get intense fast03:30 - What happened with the ‘constitutional’ approach04:15 - Why there may be a higher level of turnover in security05:30 - Why there is so much pressure to continue progress07:00 - Why you should still approach any new tech cautiously08:30 - Our advice for leveraging the tech with safety in mind09:45 - How to build your own level of confidence in AI10:15 - Why the ‘hallucination’ problem is still very realAI safety researchers quitting, Anthropic safety, Claude evaluation awareness, xAI co-founders leaving, AI guardrails, What About AI, Mrinank Sharma, AI alignment#AISafety #WhatAboutAI #ClaudeAI #Anthropic #AIAlignment #AIRisks #AIGuardrails Sign up for the newsletter at What About AI 

The World Economic Forum just released a framework mapping four possible futures for the global job market by 2030. Two variables determine which scenario we get: AI advancement speed and workforce readiness. The combinations produce four outcomes — and based on what we're seeing on the ground, we're headed toward the one nobody wants.What we cover:The WEF's four scenarios: Supercharged Progress, Age of Displacement, Co-Pilot Economy, Stalled ProgressWhere we are right now based on our consulting experienceWhy most companies aren't ready (and some think we rigged our demos)The AI plateau that never happenedNew chipsets already in warehouses that haven't been deployed yetDavos 2026: Hassabis, Amodei, Musk, and Suleyman on timelinesMicrosoft AI chief's 12-18 month prediction for knowledge workKnowledge work vs. physical labor: different timelines, same destinationWhy physical labor disruption will move FASTER when it arrivesThe virtualization analogy: why bottlenecks always get solvedAI building itself: ChatGPT 5.3, Claude Opus 4.6The business readiness inflection point: 2-3 yearsWhat to do whether you're an individual or a companyKey Stats:WEF: 170M new roles created, 92M displaced, net +78M by 203054% of executives expect AI to displace jobs83% of organizations at low AI maturity40% of skills required for jobs expected to changeAI role wages up 27% since 20192/3 of CSOs expect AI to shape strategy in next 5 yearsOnly 1% of 2025 layoffs were due to AI productivity gains⬇️ RESOURCES & LINKS ⬇️🤖 FREE GUIDE: WEF 2030 Jobs Scenarios Guide Download: https://whataboutai.com/guides/wef-2030📬 Get Weekly AI Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast💼 AI Consulting for Your Business https://whataboutai.com/businessTIMESTAMPS00:00 - World Economic Forum take on business readiness00:45 - What we are seeing from the business world03:00 - AI is still continuing to progress at an exponential rate03:55 - How various combinations of industry/size are responding04:55 - How close or far are we from AI plateauing capability-wise06:20 - Why the physical world may actually be disrupted even faster07:30 - Comparing the technology lifecycle curve to virtualization era08:25 - Discussion on a potential ‘AI bubble’ or potential bottlenecks10:20 - What we think is coming in terms of business readinessWorld Economic Forum jobs 2030, WEF AI scenarios, future of work, AI job displacement, knowledge work AI, What About AI, AI predictions 2030, workforce readiness, AI disruption#FutureOfWork #WEF2030 #AIJobs #WhatAboutAI #WorkforceDisruption #AIReadiness #KnowledgeWork Sign up for the newsletter at What About AI 

HR professionals are in a unique position: their department is being disrupted by AI while simultaneously being asked to lead the company's AI transformation. In this episode, we break down what's actually happening — from ADP's new AI agents serving 1.1M+ businesses to the uncomfortable truth about how many HR professionals have barely used AI beyond making caricatures.What we cover: → ADP's AI agents: payroll, tax, reports, and promotion initiation → The HR paradox: most automated AND leading the charge → Our experience: HR professionals privately admitting they're clueless about AI → What AI can already automate (57% of HR's repetitive tasks) → What AI can't do: the subjective, empathetic, human side → AI-driven promotions: eliminating "great smile" bias vs. losing context → HR professionals as the organizational glue → Why HR could become the most technical department → Step-by-step advice for HR leaders → The Chief AI Officer role emerging → How to shift from admin work to strategic valueKey Stats: • ADP AI agents: 1.1M clients, 140 countries, 42M wage earners • HR teams spend 57% of time on repetitive tasks • 89% of HR leaders expect AI to impact jobs in 2026 • 83% of organizations at low AI maturity in HR • AI reduces time-to-hire by up to 50% • AI cuts payroll processing time by up to 70% • 30% cost savings per hire using AI screening • 84% of large orgs agree AI will streamline but not replace HR⬇️ RESOURCES & LINKS ⬇️🤖 FREE GUIDE: HR AI Disruption Guide Download: https://whataboutai.com/guides/hr-ai📬 Get Weekly AI Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast💼 AI Consulting for Your Business https://whataboutai.com/businessTIMESTAMPS00:25 - HR use cases of AI (ADP stat)01:50 - HR professionals experience with AI02:30 - Advice for HR professionals around AI03:00 - How AI may help remove subjectivity03:45 - Key value add from the HR role04:30 - The benefits to HR from AI adoption05:15 - AI empowering HR leaders to provide more value06:00 - Helping HR professionals manage everything07:55 - HR can focus more on strategy with help from AI09:50 - Love to hear from more HR folks!AI human resources, HR AI automation, ADP AI agents, human resources jobs, AI hiring, AI payroll, HR technology, AI workforce, What About AI, HR career advice, AI promotions, HR disruption#AIinHR #HumanResources #FutureOfWork #WhatAboutAI #HRTech #AIWorkforce #CareerAdvice Sign up for the newsletter at What About AI 

The hiring process is changing faster than most people realize. McKinsey is now testing candidates on their ability to work with AI. 87% of companies use AI to screen resumes. And Gartner predicts 50% of organizations will require AI-free skills assessments while 75% will test for AI proficiency - simultaneously.What we cover: → McKinsey's Lilli AI tool in final-round interviews → Two divergent hiring paths: network-driven vs. merit-based → Why the resume is losing its role as step one → Skills assessments replacing traditional screening → Real client story: using AI to outperform every other candidate → The "dual demonstration" strategy (AI + manual approach) → Why candidates surprisingly prefer AI interviews → The job market reality: 4x more applicants, 1/4 the jobs → Teaching the interviewer as a hiring hack → How to prepare whether employed or job searchingKey Stats: • McKinsey: ~1M applications/year, ~1% acceptance rate • McKinsey now has 20,000-25,000 AI agents for 40,000 employees • 87% of companies use AI to screen resumes • 85% of employers use skills-based hiring (up from 56% in 2022) • 50% of orgs will require AI-free skills assessments (Gartner) • 75% of hiring will include AI proficiency testing by 2027 (Gartner) • 61% increase in critical thinking test completions (TestGorilla)⬇️ RESOURCES & LINKS ⬇️🤖 FREE GUIDE: AI-Ready Hiring Guide Download: https://whataboutai.com/guides/ai-hiring📬 Get Weekly AI Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast💼 AI Coaching & Consulting https://whataboutai.com/businessTIMESTAMPS00:00 - Case study of leveraging AI tools for hiring01:20 - Two divergent paths of AI tools in hiring02:20 - How AI is changing the hiring process on both sides03:00 - The surprising preference of candidates (related to AI)03:30 - AI can introduce more empathy into the process04:20 - The reality of the macro economy related to hiring05:20 - How to teach interviewers something about AI06:10 - Why the resume is outdated and more coming changes06:50 - Will the resume be the first step moving forward?08:15 - What applicants can do to become ‘AI ready’09:00 - How our client navigated a recent interview processAI hiring process, McKinsey Lilli AI interview, AI job search 2026, skills assessment hiring, resume dead, AI ready interview, What About AI, job interview tips, AI screening, career advice 2026#AIHiring #JobSearch2026 #FutureOfWork #WhatAboutAI #CareerAdvice #InterviewTips #SkillsBasedHiring Sign up for the newsletter at What About AI 

Financial services and banking companies are pushing AI further and faster than almost any other industry. In this episode, we draw on our combined decades at Vanguard and JP Morgan Chase to break down exactly what's happening — and what it means for workers at every level.What we cover: → BNY Mellon's $3.8B tech spend and 134 "digital employees" → 20,000 employees building their own AI agents (not just IT) → Goldman Sachs embedding AI into KYC and account reconciliation → JP Morgan Chase's internal AI training programs → How the career ladder is flattening — juniors and middle management squeezed → The reversed apprenticeship: seniors now need juniors for tech skills → Regulation and compliance disruption: AI knows every law instantly → 97% of investors penalizing firms not upskilling on AI → Why banks learned from the fintech revolution and jumped ahead → The coming wave of AI-driven acquisitions → How to build your own thing when the ladder disappears → GitHub profiles as the new resume — showing vs. tellingKey Stats: • $3.8B/year BNY Mellon tech spend (19% of revenue, highest among peers) • 134 "digital employees" working 24/7 at BNY • 20,000 empowered builders creating AI agents • 98% of 52,000 BNY employees trained on GenAI • Only 2% of financial institutions report no AI usage (Finastra 2026) • 89% say AI increased revenue or decreased costs (NVIDIA 2026) • 97% of investors penalizing firms not upskilling on AI • 42% of U.S. financial firms accelerating AI investment 50%+ (Finastra) • 68% of national bankers list AI as top-5 spending priority⬇️ RESOURCES & LINKS ⬇️🤖 FREE GUIDE: Financial Services AI Disruption Guide Download: https://whataboutai.com/guides/finserv-ai📬 Get Weekly AI Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast💼 AI Consulting for Your Business https://whataboutai.com/businessTIMESTAMPS00:30 - AI stats from the financial services industry01:30 - Use cases for AI in finance and banking02:30 - The AI advantage when it comes to regulation03:00 - How is the industry ‘career ladder’ changing04:10 - How to get into a dramatically changing industry05:45 - Creative ways to position yourself well06:10 - The aqui-hire pattern07:20 - The ‘github profile’ example08:45 - How financial services is actually leading change09:45 - Financial services / fintech history lesson11:30 - Where to find helpAI financial services, banking AI, BNY Mellon AI, digital employees, fintech AI, career in banking, financial services jobs, AI workforce, Goldman Sachs AI, JP Morgan AI, What About AI, AI career advice, compliance AI, regulation AI#AIinBanking #FinancialServices #FutureOfWork #WhatAboutAI #AIWorkforce #FinTech #CareerAdvice #DigitalEmployees Sign up for the newsletter at What About AI 

In this episode, we go hands-on with the two biggest AI model releases of 2026 so far — Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.3 Codex — and break down what they mean for workers and businesses.What we cover: → Opus 4.6: 1M token context window, agent teams, thinks ahead of you → GPT-5.3 Codex: 25% faster, first model that helped build itself → Our hands-on experience using both for coding, research, and strategy → Why most consumers are sleeping on Claude (and shouldn't be) → A software engineer's take: 4.6 is "more powerful than most senior engineers" → Why companies won't replace workers overnight (but are shifting fast) → Corporate inertia: why individuals can move faster than their companies → How to use AI for strategy and planning — not just task automation → The AGI question: are we one or two versions away?Key Stats: • Opus 4.6 outperforms GPT-5.2 by 144 Elo points on GDPval-AA (Anthropic) • GPT-5.3 is 25% faster than its predecessor (OpenAI) • Average enterprise LLM spend hit $7M in 2025, projected $11.6M in 2026 (a16z) • Workers with AI skills earn up to 56% higher wages (PwC) • 20% of organizations will flatten structures with AI by 2026 (Gartner) • 44% of enterprises now use Anthropic in production (a16z survey)⬇️ RESOURCES & LINKS ⬇️🤖 FREE GUIDE: AI Model Showdown Guide Download: https://whataboutai.com/guides/ai-model-showdown📬 Get Weekly AI Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast💼 AI Consulting for Your Business https://whataboutai.com/businessTIMESTAMPS00:30 - New model updates01:00 - Key updates01:50 - People don’t know about Claude03:30 - When to expect the new ChatGPT (5.3)04:50 - Will AI eventually be the boss?06:00 - Conversation about AGI07:00 - Where should people focus07:45 - Augmentation vs replacement08:35 - A practical timeline for businesses10:00 - Being a change agent with AI11:00 - Leverage AI for strategy as wellOpus 4.6, GPT 5.3, Claude Opus, Anthropic, OpenAI, AI models comparison, Opus vs GPT, AI coding, AI agents, AI workforce, future of work, AGI, agentic AI, Claude vs ChatGPT, AI model review, What About AI, enterprise AI, AI skills, vibe coding#Opus46 #GPT53 #AIModels #ClaudeVsChatGPT #AnthropicAI #OpenAI #FutureOfWork #AIWorkforce #AgenticAI #WhatAboutAI Sign up for the newsletter at What About AI 

McKinsey now has 25,000 AI agents working alongside 40,000 humans. OpenAI just launched Frontier. Anthropic released Agent Teams. The shift from "AI as a tool" to "AI as your coworker" is happening right now.We break down what both platforms can do, share real stats from companies already using them (one cut fulfillment from 6 weeks to 1 day), and give you practical advice on how to position yourself for what's coming.⬇️ RESOURCES & LINKS ⬇️🤖 FREE GUIDE: AI Agents Readiness Guide - Download: https://whataboutai.com/guides/ai-agents-readiness📬 Get Weekly AI Updates - Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform - Podcast: https://whataboutai.com/podcast💼 AI Consulting for Your Business - https://whataboutai.com/businessIn this episode, we unpack the latest developments in AI agents from Anthropic (Agent Teams) and OpenAI (Frontier) — and what they mean for workers and businesses.What we cover: → OpenAI Frontier: enterprise-only platform for building and managing AI agent fleets → Anthropic Agent Teams: hierarchical agent systems that communicate with each other → Real production stats: manufacturing fulfillment cut from 6 weeks to 1 day → Investment firm automating 90%+ of sales team activity → McKinsey now employing 25,000 AI agents (up from 3,000 just 18 months ago) → Why companies are shifting workforce budgets toward agent teams → The implementation gap: why most companies are doing this wrong → How to position yourself and start building AI skills now → Our coaching client who went from zero AI experience to automating his entire home in 2 weeksKey Stats: • McKinsey: 40,000 humans + 25,000 AI agents (targeting parity by end of 2026) • 89% of HR leaders expect AI to reshape jobs in 2026 (CNBC) • 20% of organizations will flatten their org structures with AI (Gartner) • 39% of workers' core skills expected to change by 2030 (WEF) • Workers with AI skills earn up to 56% higher wages (PwC)TIMESTAMPS00:56 - Results from usage of agents02:15 - How companies are using agents03:00 - How Anthropic agent teams work04:05 - What’s unique about agent teams05:00 - Agents working similar to people teams06:00 - How companies are leveraging agents06:30 - How workers will interact with agents08:00 - Companies hiring agents instead09:00 - Mistakes companies are making10:00 - Knowing the limitations of agents11:20 - What to expect coming next12:30 - What companies will need from you13:30 - User applications of agent teamsAI agents, AI workforce, OpenAI Frontier, Anthropic Agent Teams, AI coworkers, AI replacing jobs, McKinsey AI agents, AI at work, future of work, AI agent teams, agentic AI, enterprise AI, AI automation, AI job displacement, AI skills, What About AI, career protection AI, workforce transformation#AIAgents #FutureOfWork #AIWorkforce #OpenAIFrontier #AnthropicAI #AICoworkers #AgenticAI #AIJobs #CareerProtection #WhatAboutAI Sign up for the newsletter at What About AI 

70% of banking operations are expected to be automated. GPT 5.2's thinking model beats human financial experts more than 70% of the time - up from 38% in the previous version. Hundreds of thousands of Wall Street jobs are at risk.We've spent a combined 22 years in finance - Sean at Vanguard (7 years, original robo-advisor project) and James at JP Morgan Chase (15 years in banking). We break down what's actually getting automated, what happened when "robo advisors" became REAL AI, and what you should do whether you're a junior analyst, a financial advisor, or just someone managing their own portfolio.The Stats:70%+ of banking operations are automatableHundreds of thousands of Wall Street jobs at riskGPT 5.2 beats human experts 70%+ (up from 38% in GPT 5)Claude handles Excel better than 10 years of human expertiseWhat We Cover:Why finance is the #1 industry for AI disruptionThe robo-advisor evolution: scripted algorithms → real AI thinkingClaude's Excel capability destroying spreadsheet jobsGPT 5.2's dramatic leap in financial analysisSean using AI for portfolio management, back-testing, and rebalancingDay trading with AI: the wild west (James's advice)Why junior analysts and data entry roles are disappearingThe human skills that still matter in finance🤖 FREE GUIDE: AI Finance Cheat Sheet Download: https://whataboutai.com/guides/ai-finance📬 Get Weekly AI Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcastTIMESTAMPS: 0:00 - AI's impact on finance: the stats 0:30 - 70%+ of banking operations automatable 1:00 - James: 15 years in banking, this is ripe for automation 1:30 - Manual data entry, spreadsheets, trading data: all at risk 2:00 - Sean's Vanguard robo-advisor story 2:30 - Knowledge workers in finance are the biggest target 3:00 - GPT 5.2 beats human experts 70%+ (was 38% in GPT 5) 3:30 - Old robo-advisors vs real AI: the crucial difference 4:30 - "If you're not using this, you're extremely at risk" 5:00 - Claude + Excel: 10 years of skills replaced by one prompt 5:30 - FinOps and spreadsheet work: mostly automatable now 6:00 - AI for strategy: going deeper, faster for clients 7:00 - Financial planning tools democratized by AI 7:30 - Sean using AI for portfolio management and back-testing 8:30 - Day trading with AI: James's advice for younger clients 9:30 - Polymarket, simulators, and paper trading first 10:00 - Creative problem solving: the human skill that remains 10:30 - Advice for professionals and consumers 11:00 - Newsletter plug + wrap up#AIFinance #FinTech #BankingAI #WallStreet #WhatAboutAI #AIAutomation #FinancialServices #Claude #ChatGPT #AITools #FutureOfFinance Sign up for the newsletter at What About AI 

230 million people are asking healthcare questions on ChatGPT every single week. Over 40 million daily. We're two of them - and the results changed our lives.James's doctor told him to start statins. AI suggested an alternative approach. Three months later, his doctor said "this isn't normal - I haven't seen this before." Sean fed his migraine data into Claude and it found a pattern no specialist had caught in years.We break down exactly what happened, what tools we used, and what this means for healthcare - whether you're a patient, a provider, or working in the industry.What We Cover:230M weekly / 40M daily health queries on ChatGPT aloneJames's heart health story: AI supplements vs statins (3-month results)Sean's migraine breakthrough: Claude found a barometric pressure patternChatGPT health features: Quest Diagnostics integration, HIPAA-safe dataLotus: the AI health app that connects to real doctorsHealthcare jobs are shifting - nurses can't find work for the first time in 20 yearsHow providers can use AI as a tool (not a replacement)AI-healthcare partnerships forming right now🤖 FREE GUIDE: AI Healthcare Cheat Sheet Download: https://whataboutai.com/guides/ai-healthcare📬 Get Weekly AI Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast🌐 Visit Our Website https://whataboutai.comTIMESTAMPS: 00:00 - AI's impact on healthcare: the stats 00:30 - 230 million weekly health queries on ChatGPT 01:00 - ChatGPT and Claude health-specific features 01:30 - Health app integrations: Quest Diagnostics, HIPAA-safe data 02:00 - James's story: doctor recommends statins 02:30 - AI suggests supplement alternatives across 4 platforms 03:00 - 3-month results: "This isn't normal. I haven't seen this before." 03:30 - The supplement caveat: cost, no prescriptions, DIY 04:00 - Sean's migraine story: years of specialists, same answer 05:00 - Feeding migraine data into Claude for pattern analysis 06:00 - Breakthrough: barometric pressure correlation discovered 06:30 - Proactive vitamin approach vs reactive pharmaceuticals 07:00 - Longest migraine-free streak ever recorded 07:30 - Important caveat: AI is not a doctor 08:00 - Lotus: AI health platform with real doctor networks 09:00 - Specialized AI tools: prescriptions, referrals, some free 09:30 - AI's context consumption advantage for healthcare 10:00 - Healthcare jobs shifting: nurses struggling for first time 11:00 - How providers should be using AI right now 12:00 - AI-healthcare partnerships and what's coming 13:00 - Industry guests coming to the podcast 14:00 - Free resources + newsletter plugTOOLS & TOPICS MENTIONED:ChatGPT (OpenAI) - Health features, Quest Diagnostics integration, HIPAA-safe folderClaude (Anthropic) - Pattern analysis, deep health researchGemini (Google) - Health queriesGrok (xAI) - Health queriesLotus - AI health platform with doctor network, prescriptionsQuest Diagnostics - Lab data integration#AIHealthcare #HealthAI #ChatGPT #Claude #WhatAboutAI #AIinMedicine #HealthTech #AITools #MedicalAI #DigitalHealth #ArtificialIntelligence Sign up for the newsletter at What About AI 

A million people installed Claudebot - an unofficial AI agent that could handle your schedule, admin, and daily tasks. Then the security vulnerabilities came out. Your passwords, your data, all exposed.Anthropic's response? They built Claude Cowork - an official, secure desktop agent that integrates with your apps, your tools, and your workflow. It just got a Slack integration. New plugins are shipping daily. And it's going to change how every department operates.We also break down what happened with Moltbot (the "Facebook for AI agents" that went sideways fast), NASA using AI on the Mars rover, and exactly how to start using Cowork for sales, marketing, finance, and more.What We Cover:What Claude Cowork actually is and how it worksThe Claudebot security disaster and Moltbot's "Terminator moment"AI agents building their own religion (yes, really)NASA's Mars rover using AI to cut exploration time by 50%How Cowork transforms sales, marketing, and every departmentThe "magic wand question" for finding your automation opportunitiesWhy the pace of change is overwhelming even for us🤖 FREE GUIDE: Claude Cowork Cheat Sheet Download: https://whataboutai.com/guides/claude-cowork📬 Get Weekly AI Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast🌐 Visit Our Website https://whataboutai.comTOOLS & TOPICS MENTIONED:Claude Cowork (Anthropic) - Official desktop AI agentClaudebot - Third-party AI agent with security concernsMoltbot / Moltbook - Agent-to-agent social platformNASA Perseverance Mars Rover - AI navigationSlack integration for Claude CoworkApollo, Salesforce, and CRM platformsTranscription tool integrations (7-8 tools referenced)Skill files for marketing customization#ClaudeCowork #AIAgent #Anthropic #Claude #AITools #WhatAboutAI #Claudebot #Moltbot #AIAutomation #DesktopAgent #ArtificialIntelligence Sign up for the newsletter at What About AI 

Middle managers are the #1 target for AI-driven layoffs. It's called "The Great Unbossing" - and it's accelerating.The numbers are brutal: • Amazon: 30,000 layoffs targeting management • $5 billion projected savings from management cuts alone • 50% of all layoffs now involve middle managers (up from 26% in 2018) • 75% of millennial middle managers report burnoutIf you're a middle manager and you're only managing humans, you're in trouble. The new expectation? Manage AI + people. Drive efficiency. Prove your value daily.We break down what's happening, why it's happening, and exactly what you can do to protect yourself.📥 FREE GUIDE: Middle Manager Survival Guide Download: https://whataboutai.com/guides/great-unbossing📬 Get Weekly Job Market Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast🌐 Visit Our Website https://whataboutai.com--TIMESTAMPS: 00:00 - What is The Great Unbossing? 00:45 - Amazon's 30,000 layoffs explained 01:30 - The $5 billion management cut 02:15 - Why middle managers are targeted 03:00 - The "do more with less" pressure 04:00 - 70% of managers reporting stress 05:00 - How to protect yourself 06:00 - Becoming an AI orchestrator 07:00 - Strategic backfill management 08:00 - Documenting your value equation 09:00 - Our client experience with senior VPs--SOURCES: • CNBC - Amazon Layoffs: https://www.cnbc.com/2026/01/28/amazon-layoffs-anti-bureaucracy-ai.html • Live Data Technologies (middle manager layoff statistics) • Morgan Stanley ($5B savings estimate) • Capterra (75% manager burnout study) • Robert Walters (Gen Z avoiding management study)#GreatUnbossing #MiddleManagement #AILayoffs #CareerAdvice #AmazonLayoffs #JobSecurity #FutureOfWork #AIAtWork #ManagementTips #WhatAboutAI Sign up for the newsletter at What About AI 

Both companies AND job seekers are now using AI in hiring. The result? A completely broken system where bots talk to bots and nobody wins.The shocking reality: • 83% of companies use AI to screen resumes • 40-50% of job applications involve bots • 65% of recruiters use AI tools • But 88% of companies admit AI screens out qualified candidatesMeanwhile, hiring managers can spot AI-generated resumes in under 20 seconds—and they're deprioritizing them.So what actually works? We break down the strategies that got 80% of our laid-off clients back into jobs they actually want.Spoiler: It's not more automation. It's human connection.📥 FREE GUIDE: AI Hiring Arms Race Survival Guide Download: https://whataboutai.com/guides/ai-arms-race📬 Get Weekly Job Market Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast🌐 Visit Our Website https://whataboutai.com--TIMESTAMPS: 00:00 - The AI hiring arms race statistics 01:30 - James's experience as a hiring manager 02:45 - Why spray and pray doesn't work 03:45 - The broken system explained 05:00 - What actually works (network-first approach) 06:15 - How to use AI the RIGHT way 07:00 - Our client success rates 808:00 - Old school tactics making a comeback--SOURCES: • Resume Builder Survey (2024): https://www.resumebuilder.com/7-in-10-companies-will-use-ai-in-the-hiring-process-in-2025-despite-most-saying-its-biased/ • TopResume AI in Hiring Survey: https://topresume.com/career-advice/ai-in-hiring-survey • Resume Genius AI Impact Study: https://resumegenius.com/blog/job-hunting/ai-impact-on-hiring • Insight Global 2025 AI Hiring Report: https://insightglobal.com/2025-ai-in-hiring-report/ • The Interview Guys Research: https://blog.theinterviewguys.com/how-many-companies-are-using-ai-to-review-resumes/#AIHiring #JobSearch #CareerAdvice #AITools #ResumeScreening #JobMarket #Hiring2026 #ATS #ApplicantTrackingSystem #FutureOfWork #WhatAboutAI Sign up for the newsletter at What About AI 

You've applied to hundreds of jobs. No responses. No interviews. Just silence.Here's the brutal truth: 40% of those jobs might not even exist.In this episode, we expose the ghost job epidemic—fake job postings that companies use to manipulate workers, impress investors, and harvest resumes with zero intention of hiring.The shocking stats: • 40% of companies posted fake jobs in 2024 • 81% of recruiters admit their employers post ghost jobs• 63% do it to trick overworked employees into thinking help is coming • 62% do it to make workers feel "replaceable" • 2.2 million monthly gap between job openings and actual hiresBut here's the good news: legislation is coming, and we'll show you exactly how to spot ghost jobs before you waste your time.📬 Get Weekly Job Market Updates Newsletter: https://whataboutai.com/newsletter🎙️ Listen on Your Favorite Platform Podcast: https://whataboutai.com/podcast🌐 Visit Our Website https://whataboutai.com--TIMESTAMPS: 00:26 - Crazy statistics about ghost jobs02:00 - More statistics that are somehow worse04:00 - Strategies to vet a company that may be hiring05:45 - Legislation progress to combat the practice08:19 - Host to filter out ghost jobs during your search10:30 - Where to find our free resources--SOURCES: • Resume Builder Survey (2024): https://www.resumebuilder.com/3-in-10-companies-currently-have-fake-job-posting-listed/ • MyPerfectResume Recruiting Trends: https://www.myperfectresume.com/career-center/jobs/search/recruiting-trends • CNBC Ghost Jobs Report: https://www.cnbc.com/2025/11/11/ghost-job-postings-add-another-layer-of-uncertainty-to-stalled-jobs-picture.html • Bureau of Labor Statistics JOLTS Data#GhostJobs #JobSearch #FakeJobs #JobMarket #CareerAdvice #HiringTrends #JobHunting #Unemployment #AI #FutureOfWork #WhatAboutAI Sign up for the newsletter at What About AI 

Here's something nobody saw coming: the most tech-savvy generation in history is abandoning tech careers—and running toward construction, plumbing, and electrical work. 🔧62% of Gen Z believe AI could replace their jobs within 10 years. 70% say AI has made them question their job security. And now, 60% say they're likely to pursue blue-collar work in 2026—up from just 25% during high school.Career experts are calling it the "AIxiety Pivot."The shocking numbers:→ 60% of Gen Z likely to pursue trades in 2026→ 37% of those WITH bachelor's degrees are pivoting to trades→ 65% say a college degree won't protect them from AI→ Elevator installers earning $100K+, plumbers in SF making $200KBut here's what we need to be honest about: trade jobs aren't completely safe either. Robotics is advancing fast, and we estimate trades have a 2-3 year lag behind knowledge work disruption—not permanent immunity.--TIMESTAMPS00:30 - Stats01:30 - Are trade jobs safe?02:30 - Capabilities of robotics03:25 - What is the trade job disruption timeline04:30 - Shortages of tradeworkers05:30 - How to succeed in tradework (despite AI/robotics disruptions)07:30 - Some work is probably best left to the robots08:10 - Stats about Gen Z and college degrees + tradework09:00 - What’s the value of a college degree today?10:30 - How to leverage whatever degree you have (with AI/robotics)12:00 - History of jobs and the economy from covid to today13:00 - Impact of AI to the job market13:30 - Looking out for what’s coming in the market (and what it means for you)14:45 - The shocking new counterintuitive playbook companies are leveraging16:20 - The opportunity trades provide for Gen Z (and others)--So what should you actually do? We break it down.🔗 Website: https://whataboutai.com#GenZ #AIxiety #SkilledTrades #BlueCollar #FutureOfWork #CareerAdvice #AI Sign up for the newsletter at What About AI 

Amazon just announced the largest layoffs in company history—and they're doing better than ever. That's the new reality. 📦💔In just 3 months, Amazon has cut 30,000 jobs: 16,000 announced yesterday on top of 14,000 from October. That's roughly 10% of their workforce. And here's what makes this different: these cuts are happening alongside record profits and massive AI investments.What's getting cut:→ AWS, Prime Video, HR, Retail→ Middle management, Engineers, Software Developers→ Product Management, Recruiting→ Pretty much every corporate white-collar functionThe uncomfortable truth: your company doing well no longer means YOUR job is safe. The old playbook is dead.If your company is investing heavily in AI but not training YOU or involving you in that process—that's a warning sign. The wealth is shifting from corporations to AI companies, and jobs are how AI companies will deliver returns on their trillion-dollar investments.🔗 Free resources if you've been affected: https://whataboutai.com#Amazon #Layoffs #AIJobs #TechLayoffs #FutureOfWork #AWS Sign up for the newsletter at What About AI 

This isn't a prediction—it's already happening. Customer service jobs are disappearing faster than anyone expected. 📞🤖Salesforce just cut their customer service workforce nearly in HALF—from 9,000 to 5,000—by replacing humans with AI agents. And Gartner predicts 20-30% of customer service workforces will be replaced THIS YEAR alone.The numbers are brutal:→ Salesforce: 9,000 → 5,000 employees (already done, not a pilot)→ Gartner: 20-30% of CS roles replaced in 2026→ Long-term: Up to 80% of customer service roles automated→ Impact: 2-3 million jobs at riskHere's the uncomfortable truth: most call center work is so scripted that customers won't even notice the difference. AI can follow scripts, pick up on tone, handle escalations—and it costs a fraction of minimum wage.So what can customer service workers do? We break down the path forward.🔗 Free resources if you've been laid off: https://whataboutai.com#CustomerService #AIAutomation #Layoffs #CallCenter #FutureOfWork #Salesforce Sign up for the newsletter at What About AI 

New college grads are facing the worst job market in years—and the data is brutal. 📉While overall unemployment stays low, new grad unemployment is approaching 10%. And here's the kicker: Dallas Fed research shows job finding rates have only held steady for roles with LOW AI exposure. If your degree targets AI-vulnerable jobs, you're already feeling it.What the data shows:→ ~10% unemployment for new grads (highest in years)→ Job finding rate collapsing for high AI-exposure roles→ Musk & Altman both said: don't go to college for a career→ College tours have stopped touting employment statistics→ Trade jobs aren't the safe haven people thinkBoth Elon Musk and Sam Altman—who rarely agree on anything—said the same thing: go to college for friendships and personal growth, not for a career. Musk even told his own daughter that by the time she's his age, there won't be many jobs left for humans.So what should new grads do? We break it down.🔗 Free resources for career guidance: https://whataboutai.com#NewGrads #Unemployment #AIJobs #CollegeGrads #FutureOfWork #CareerAdvice Sign up for the newsletter at What About AI 

The world's most powerful leaders just gathered in Davos—and they're not sugarcoating what's coming. 🌍AI anxiety has risen 50% in under two years, and 60% of employees feel their leaders are underestimating the psychological toll. At the World Economic Forum, tech CEOs and global institutions delivered some of the most direct warnings we've heard yet.What they said:→ Dario Amodei (Anthropic) & Demis Hassabis (Google): Software engineering jobs disrupted within a year→ Sam Altman (OpenAI): "If you think what you're doing isn't real work, it will be replaced very soon"→ Elon Musk: AI and robots will replace EVERY job—many in 3 years, all within 10→ IMF Director: "Most countries and businesses are not prepared"→ Deutsche Bank: "AI anxiety will go from a low hum to a loud roar this year"The message is clear: the time to prepare is now, not when the disruption hits.🔗 Free resources to future-proof your career: https://whataboutai.com#Davos2025 #AIAnxiety #FutureOfWork #WorldEconomicForum #ArtificialIntelligence #CareerAdvice Sign up for the newsletter at What About AI 

This episode covers 2026 being the year AI gets its own workforce. Key points:Gartner predicts 15% of strategic decisions will be made by AI within 2 years (up from 0%)Microsoft is giving AI agents employee identities (on org charts!)Agentic AI explained: teams of AI agents assigned tasks, working autonomouslyNew jobs emerging: "agent managers" who oversee AI teamsPhysical/care jobs have a window but it's not indefiniteAdvice: Learn to manage agents now, build your own virtual team Sign up for the newsletter at What About AI