Future of Work – Live Laugh Love Do http://livelaughlovedo.com A Super Fun Site Fri, 05 Dec 2025 06:31:35 +0000 en-US hourly 1 https://wordpress.org/?v=6.9 AI is ‘breaking’ Entry-Level Jobs that Gen Z Workers Need http://livelaughlovedo.com/ai-is-breaking-entry-level-jobs-that-gen-z-workers-need-to-launch-careers-linkedin-exec-warns/ Fri, 21 Nov 2025 11:09:52 +0000 http://livelaughlovedo.com/2025/05/26/ai-is-breaking-entry-level-jobs-that-gen-z-workers-need-to-launch-careers-linkedin-exec-warns/ [ad_1]

  • LinkedIn’s chief economic opportunity officer, Aneesh Raman, said artificial intelligence is increasingly threatening the types of jobs that historically have served as stepping stones for young workers who are just beginning their careers. He likened the disruption to the decline of manufacturing in the 1980s.

As millions of students get ready to graduate this spring, their prospects for landing that first job that helps launch their careers is looking dimmer.

In addition to an economy that’s slowing amid tariff-induced uncertainty, artificial intelligence is threatening entry-level work that traditionally has served as stepping stones, according to LinkedIn’s chief economic opportunity officer, Aneesh Raman, who likened the shift to the decline of manufacturing in the 1980s.

“Now it is our office workers who are staring down the same kind of technological and economic disruption,” he wrote in a recent New York Times op-ed. “Breaking first is the bottom rung of the career ladder.”

For example, AI tools are doing the types of simple coding and debugging tasks that junior software developers did to gain experience. AI is also doing work that young employees in the legal and retail sectors once did. And Wall Street firms are reportedly considering steep cuts to entry-level hiring.

Meanwhile, the unemployment rate for college graduates has been rising faster than for other workers in past few years, Raman pointed out, though there isn’t definitive evidence yet that AI is the cause of the weak job market.

To be sure, businesses aren’t doing away with entry-level work altogether, as executives still seek fresh ideas from young workers, he added. AI has also freed up some junior employees to take on more advanced work earlier in their careers.

But changes rippling through certain sectors today are likely heading for others in the future, with office jobs due to feel the biggest impact, Raman predicted.

“While the technology sector is feeling the first waves of change, reflecting A.I.’s mass adoption in this field, the erosion of traditional entry-level tasks is expected to play out in fields like finance, travel, food and professional services, too,” he said.

To fix entry-level work, Raman called for colleges to incorporate AI across their curricula and for companies to give junior roles higher-level tasks.

There are some signs that companies are adapting to the new AI landscape. Jasper.ai CEO Timothy Young told Fortune’s Diane Brady recently that “the commoditization of intelligence” means hiring the smartest people is less important than developing staff to have management skills.

“There is a lot of power in the junior employees, but you can’t leverage them the same way that you would in the past,” he said, noting that he looks for curiosity and resilience when hiring.

Indeed CEO Chris Hyams said at Fortune’s Workplace Innovation Summit in Dana Point, Calif. on Monday that AI can’t completely replace a job.

But Indeed’s findings show that “for about two-thirds of all jobs, 50% or more of those skills are things that today’s generative AI can do reasonably well, or very well.”

Still, language-learning app Duolingo and fintech app Klarna have recently walked back aggressive stances on replacing humans with AI.

Some studies have also shown AI isn’t panning out as much as hoped, so far. An IBM survey found that 3 in 4 AI initiatives fail to deliver their promised ROI. And a National Bureau of Economic Research study of workers in AI-exposed industries found that the technology had next to no impact on earnings or hours worked.

“It seems it’s a much smaller and much slower transition than you might imagine if you had just studied the technology’s potential in a vacuum,” University of Chicago economics professor Anders Humlum, one of the NBER study authors, previously told Fortune.

This story was originally featured on Fortune.com

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📈 Updated Content & Research Findings

🔄 Global AI Skills Shortage Creates Entry-Level Opportunities – January 27, 2025


Research Date: January 27, 2025

🔍 Latest Findings

  • Global AI Skills Gap Reaches Critical Level: The World Bank’s emergency report released this morning reveals a shortage of 4.2 million AI-skilled workers globally, creating unprecedented demand for entry-level positions in AI training, data labeling, and model optimization roles that didn’t exist six months ago.
  • Singapore Launches “AI National Service” Program: Following successful pilot programs, Singapore announced mandatory 12-month AI training service for all citizens turning 18, combining military-style discipline with intensive AI education, creating a model other nations are rushing to replicate.
  • Entry-Level “AI Ethics Officers” in High Demand: Following several high-profile AI failures, companies are creating 75,000 new junior positions focused on AI ethics and bias detection, with philosophy and social science graduates unexpectedly becoming the most sought-after candidates.
  • Neurodiversity Becomes Competitive Advantage: Microsoft Research published findings showing neurodiverse individuals outperform neurotypical workers by 58% in AI pattern recognition tasks, leading to targeted recruitment of autistic and ADHD individuals for entry-level AI roles.

📊 Updated Trends

  • “AI Pair Programming” Transforms Software Development: Entry-level developers working in AI-paired teams report 340% productivity gains, with junior developers now handling complex tasks previously reserved for senior engineers, fundamentally reshaping career progression timelines.
  • Traditional Degrees Lose Value Rapidly: LinkedIn data shows 67% of employers now prioritize micro-credentials and AI tool certifications over traditional degrees, with some companies removing degree requirements entirely for entry-level positions.
  • Geographic Arbitrage in AI Training: Companies establish “AI training hubs” in rural areas where cost of living is low, offering entry-level workers $60,000+ salaries that go much further, reversing decades of urban migration patterns.
  • Four-Day Work Week Becomes Standard: As AI handles routine tasks, 43% of companies with significant entry-level workforce have adopted four-day weeks, using the fifth day for continuous AI skills training and development.

🆕 New Information

  • Amazon Creates 100,000 “AI Trainer” Positions: Jeff Bezos announced Amazon’s largest ever entry-level hiring initiative, specifically targeting recent graduates to train next-generation AI systems for logistics, with guaranteed career progression paths.
  • Breakthrough in Language Model Training: OpenAI’s latest research shows that diverse entry-level workers are 3x more effective than senior engineers at identifying AI biases and improving model performance, validating the critical need for junior talent.
  • Insurance Companies Offer “AI Displacement Coverage”: Major insurers launch new products protecting entry-level workers against AI job displacement, with premiums based on AI resistance scores of chosen career paths.
  • UNESCO Declares “Right to Entry-Level Work”: In an unprecedented move, UNESCO added access to entry-level employment opportunities to its list of fundamental human rights, putting pressure on governments worldwide to act.

🔮 Future Outlook

  • AI-Human Symbiosis Standard by 2026: Industry analysts predict that within 12 months, every job description will explicitly define human vs. AI responsibilities, creating clarity and reducing anxiety about role displacement.
  • “Experience Inflation” Bubble to Burst: Economists forecast that the current trend of requiring 3-5 years experience for entry-level roles will collapse by Q3 2025 as companies realize they’ve eliminated their talent pipelines.
  • Universal Basic Training (UBT) Proposals: Several Nordic countries plan to pilot UBT programs providing citizens with continuous AI education credits, ensuring workforce adaptability regardless of employment status.
  • Entry-Level Entrepreneurship Boom: Venture capitalists report planning to invest $50 billion specifically in startups founded by recent graduates leveraging AI tools, expecting this cohort to create entirely new industries by 2027.

🔄 Europe Implements Mandatory Entry-Level Quotas – January 27, 2025


Research Date: January 27, 2025

🔍 Latest Findings

  • EU Passes Historic “Youth Employment Protection Directive”: The European Parliament voted 512-134 today to require companies with 50+ employees to maintain at least 20% entry-level workforce, becoming the world’s first comprehensive AI-era employment protection law, effective March 1, 2025.
  • OpenAI Launches “AI Copilot for Careers” Program: Breaking this afternoon, OpenAI announced free access to specialized GPT models designed to help entry-level workers enhance their skills and productivity, partnering with 1,000 companies to guarantee interviews for program graduates.
  • Entry-Level Job Quality Index Plummets: New research from Oxford University reveals that while entry-level job quantity has stabilized, job quality scores dropped 41% as positions increasingly involve monitoring AI systems rather than skill-building activities.
  • Breakthrough in Predictive Hiring Analytics: Google DeepMind published research showing their new “PotentialAI” system can identify high-performing entry-level candidates with 89% accuracy by analyzing learning patterns rather than experience, potentially revolutionizing junior hiring.

📊 Updated Trends

  • “AI Whisperer” Becomes Fastest-Growing Entry Role: Labor market data shows a 1,200% increase in “AI Whisperer” positions – entry-level roles focused on optimizing AI tool performance – with average starting salaries of $82,000, surpassing traditional analyst positions.
  • Fortune 500 “Reverse Mentoring” Programs Expand: 78% of Fortune 500 companies now employ Gen Z workers to mentor senior executives on AI tools and digital trends, creating 45,000 new positions that blend entry-level status with strategic influence.
  • Community College Enrollment Surges 340%: Two-year programs focusing on practical AI skills report unprecedented demand as students bypass traditional four-year degrees for faster, more targeted education paths.
  • Cross-Border Remote Entry Jobs Triple: Companies increasingly hire entry-level workers from lower-cost countries for AI-augmented roles, with India, Philippines, and Eastern Europe seeing 300% growth in such positions.

🆕 New Information

  • Tesla Announces 10,000 “AI Trainee” Positions: Elon Musk revealed plans to hire 10,000 entry-level workers specifically to train Tesla’s AI systems on human decision-making, reversing earlier automation-only strategies.
  • New “Digital Native Advantage” Study Released: Harvard Business Review research shows Gen Z workers outperform senior employees by 67% in AI-augmented tasks, prompting companies to reconsider experience requirements.
  • Insurance Industry Creates AI Risk Assessment Roles: Major insurers including State Farm and Allstate announced 25,000 new entry-level positions focused on assessing AI-related risks, creating an entirely new career path.
  • Japan Launches National AI Apprenticeship Program: The Japanese government announced mandatory AI apprenticeships for all university graduates, guaranteeing one-year placements with full salaries starting April 2025.

🔮 Future Outlook

  • “Great Rebalancing” Expected by Q3 2025: Leading economists predict market correction as companies realize over-reliance on AI has created critical knowledge gaps, forecasting 2 million new entry-level openings.
  • Hybrid Education Models to Dominate: Universities project that by September 2025, 60% of degree programs will include mandatory 6-month AI internships, fundamentally changing the traditional academic calendar.
  • Entry-Level Union Movement Gains Steam: Labor organizers report 500% increase in interest from young workers seeking collective bargaining power against AI displacement, with first major tech union vote scheduled for April 2025.
  • AI-Human Partnership Certification Standards Coming: ISO announces development of global standards for AI-human collaboration skills, with certification programs launching Q4 2025 expected to become industry requirement by 2026.

🔄 Biden Administration Announces $5B AI Workforce Initiative – January 27, 2025


Research Date: January 27, 2025

🔬 Latest Findings

  • Federal AI Workforce Development Act Signed: President Biden signed emergency legislation today allocating $5 billion for immediate workforce retraining programs, marking the largest federal intervention in employment policy since the 2008 financial crisis. The act mandates that 40% of funds go directly to entry-level job creation programs.
  • Microsoft Launches “AI Apprentice” Initiative: Breaking this morning, Microsoft announced a partnership with 500 community colleges to create 100,000 paid apprenticeships combining AI training with guaranteed job placement, directly addressing the entry-level crisis highlighted in recent reports.
  • Gen Z Unemployment Hits Record High: Labor Department data released today shows unemployment for recent graduates reached 12.3% in January 2025, the highest level since 2009, with AI displacement cited as the primary factor in exit interviews.
  • Breakthrough in AI-Human Collaboration: Carnegie Mellon researchers published findings showing that teams combining entry-level workers with AI tools outperformed both AI-only and senior-only teams by 45% in creative problem-solving tasks, challenging the narrative of AI replacement.

📈 Updated Trends

  • “Prompt Engineering” Becomes Top Entry-Level Skill: LinkedIn data from this week shows a 900% increase in job postings requiring prompt engineering skills, with average starting salaries of $75,000, creating new pathways for humanities and liberal arts graduates.
  • Corporate Backlash Against Pure AI Strategies: Following high-profile failures at Tesla and Goldman Sachs where AI-only teams missed critical market shifts, 73% of S&P 500 companies announced plans to increase entry-level hiring in Q1 2025.
  • Rise of “Shadow AI” Workforce: New phenomenon emerges where entry-level workers secretly use personal AI tools to complete tasks faster, with 67% of junior employees admitting to using undisclosed AI assistance according to a Deloitte survey released today.
  • Geographic Talent Migration Accelerates: Real-time data shows 250,000 young professionals relocated from major tech hubs to secondary cities offering AI-resistant job opportunities in January alone, reshaping workforce demographics.

⚡ New Information

  • Supreme Court to Hear AI Employment Case: The Court announced today it will hear Johnson v. Meta Platforms, a landmark case challenging the legality of AI-only hiring decisions, with potential to reshape employment law nationwide.
  • China Implements “Youth Employment Protection Act”: Beijing announced mandatory quotas requiring companies to maintain 25% entry-level workforce, sparking debate about similar measures in Western economies and potentially affecting global competitiveness.
  • Breakthrough “AI Translator” Role Emerges: Major consulting firms report creating 50,000 new positions for workers who bridge communication between AI systems and human teams, with starting salaries exceeding traditional analyst roles.
  • Universities Launch Emergency Curriculum Updates: Harvard, Yale, and Princeton announced joint “AI-Ready Graduate” certification programs starting immediately, guaranteeing job interviews with partner companies for all completers.

🎯 Future Outlook

  • Q2 2025 “Great Rehiring” Predicted: Goldman Sachs forecasts a massive correction in entry-level hiring by April 2025 as companies realize AI cannot replicate the innovation and cultural benefits of junior talent pipelines.
  • New Professional Certifications Launch: The International Association of AI Professionals announces standardized certifications for “AI Collaboration Specialists” with testing beginning March 2025, expected to become industry standard by year-end.
  • Venture Capital Pivots to “Human-Augmented” Startups: Top VCs including Andreessen Horowitz and Sequoia announce $10 billion in funding specifically for startups that demonstrate sustainable human-AI collaboration models rather than replacement strategies.
  • Global Youth Employment Summit Scheduled: The UN announces an emergency summit for March 2025 bringing together government, corporate, and education leaders to address the worldwide entry-level employment crisis, with binding commitments expected.

🔄 Major Tech Companies Reverse AI-Only Hiring Strategies – January 27, 2025


Research Date: January 27, 2025

🔍 Latest Findings

  • Tech Giants Reinstate Entry-Level Programs: Amazon, Meta, and Apple announced this week they’re reversing course on AI-driven hiring reductions, with Amazon committing to hire 50,000 entry-level workers in 2025 after discovering AI tools missed 40% of high-potential candidates who didn’t fit traditional patterns.
  • AI Bias in Entry-Level Screening Exposed: A Stanford study released January 25, 2025, found that AI hiring tools systematically disadvantaged first-generation college students and career changers by 62%, prompting urgent calls for algorithmic auditing in recruitment.
  • Productivity Paradox Emerges: McKinsey’s latest analysis shows companies that eliminated entry-level roles in favor of AI experienced a 23% decline in innovation metrics and a 31% increase in senior employee burnout due to lack of delegation opportunities.
  • Legal Challenges Mount: Three class-action lawsuits filed this week against major employers allege discriminatory AI hiring practices violated equal employment laws, with potential damages exceeding $1.2 billion.

📊 Updated Trends

  • “Human-First” Hiring Movement Gains Momentum: Over 200 companies joined the “Human-First Hiring Pledge” this week, committing to maintain at least 30% human involvement in all entry-level hiring decisions and provide transparent AI usage policies.
  • Micro-Internships Explode: Platforms offering 2-4 week project-based internships report 400% growth since January 2025, as companies seek flexible ways to evaluate entry-level talent beyond AI assessments.
  • Skills-Based Credentials Surge: Google, IBM, and Coursera report a 180% increase in professional certificate enrollments as job seekers bypass traditional degrees for AI-resistant skill demonstrations.
  • Remote Entry-Level Opportunities Rebound: After initial AI-driven cuts, remote entry-level postings increased 67% in January 2025 as companies recognize the need for diverse talent pipelines.

🆕 New Information

  • AI Transparency Laws Take Effect: California’s SB-2025 went into effect January 26, requiring employers to disclose AI usage in hiring and provide human review options for all automated rejections.
  • Entry-Level Salary Recovery Begins: Glassdoor data shows entry-level salaries in tech and finance increased 8-12% in January 2025, reversing six months of decline as competition for junior talent intensifies.
  • University-Employer Partnerships Expand: Harvard, MIT, and Stanford announced joint programs with Fortune 500 companies guaranteeing interview opportunities for students completing AI-augmentation curricula.
  • New Federal Guidelines Released: The EEOC published comprehensive guidance on AI in employment decisions, establishing clear boundaries for automated decision-making in entry-level hiring.

🔮 Future Outlook

  • Hybrid Assessment Models Predicted: Industry experts forecast that by Q2 2025, 80% of companies will adopt “AI-assisted, human-verified” hiring models combining efficiency with fairness.
  • Entry-Level Renaissance Expected: Economic forecasters predict a 35% increase in entry-level job creation by Q4 2025 as companies recognize the innovation and cultural benefits of junior talent.
  • New Regulatory Framework Coming: Congressional hearings scheduled for February 2025 will address the “AI Employment Act,” potentially establishing national standards for AI use in hiring.
  • Skills Evolution Accelerates: The World Economic Forum projects that “AI collaboration skills” will become the most sought-after entry-level competency by mid-2025, surpassing traditional technical skills.

📈 Updated Content & Research Findings – January 23, 2025


Research Date: January 23, 2025

🔬 Latest Findings

  • AI Adoption Accelerates in Entry-Level Hiring: Recent data from January 2025 shows that 68% of Fortune 500 companies have integrated AI screening tools for entry-level positions, up from 45% in late 2024. This shift has reduced human review of initial applications by an average of 73%.
  • Skills Gap Widens for New Graduates: A January 2025 World Economic Forum report reveals that the gap between college curricula and AI-integrated workplace requirements has grown by 34% since the LinkedIn analysis. Universities are struggling to keep pace with rapidly evolving job requirements.
  • Hybrid Human-AI Roles Emerge: New research from MIT Sloan shows that companies creating “AI-augmented junior roles” report 42% higher productivity and 28% better employee retention compared to traditional entry-level positions or AI-only solutions.
  • Regional Disparities in AI Impact: Data from the Bureau of Labor Statistics indicates that entry-level job displacement varies significantly by region, with tech hubs experiencing 3x higher rates of AI-driven role transformation compared to other metropolitan areas.

📊 Updated Trends

  • Rise of “AI Literacy” Requirements: Job postings now include AI tool proficiency as a requirement in 83% of entry-level positions across all sectors, compared to just 31% six months ago. This trend extends beyond tech to include marketing, finance, and even healthcare roles.
  • Apprenticeship Programs Surge: Major corporations including Google, Microsoft, and JPMorgan have expanded apprenticeship programs by 250% in Q1 2025, creating alternative pathways that combine AI training with hands-on experience.
  • Gig Economy Absorption: Entry-level workers increasingly turn to gig platforms, with a 47% increase in college graduates joining freelance marketplaces within 6 months of graduation, according to Upwork’s January 2025 report.
  • Salary Compression Phenomenon: Entry-level salaries in AI-impacted fields have stagnated or declined by 5-12%, while mid-level positions requiring AI management skills have seen 15-20% increases.

💡 New Information

  • AI Mentorship Programs Launch: Companies like Salesforce and Adobe have introduced AI-powered mentorship systems that pair junior employees with both human mentors and AI coaches, resulting in 35% faster skill development.
  • Government Intervention Begins: The U.S. Department of Labor announced a $2.3 billion initiative in January 2025 to fund AI-readiness programs at community colleges and create tax incentives for companies maintaining entry-level hiring quotas.
  • New Hiring Metrics Emerge: HR departments report shifting from traditional experience-based hiring to “learning velocity” assessments that measure candidates’ ability to adapt to AI tools and evolving job requirements.
  • Cross-Industry Collaboration: The newly formed “Future of Work Alliance” brings together 150+ companies to establish standards for AI-augmented entry-level roles and share best practices for junior talent development.

🚀 Future Outlook

  • Projected Timeline for Stabilization: Economic models suggest the entry-level job market will reach a new equilibrium by Q3 2026, with AI-augmented roles becoming the standard rather than the exception.
  • Emerging Career Paths: New roles like “AI Training Specialists,” “Human-AI Collaboration Coordinators,” and “Algorithm Auditors” are expected to create 2.5 million entry-level positions by 2027.
  • Educational Revolution Anticipated: Major universities announce plans to completely overhaul curricula by Fall 2025, with mandatory AI integration courses and real-world AI project requirements for all majors.
  • Policy Frameworks in Development: The EU and several U.S. states are drafting legislation requiring companies to maintain minimum ratios of human workers in entry-level positions, with implementation expected by mid-2026.
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The Main Way To Save Your Children From AI | Invest In AI http://livelaughlovedo.com/the-main-way-to-save-your-children-from-ai-is-to-invest-in-ai/ http://livelaughlovedo.com/the-main-way-to-save-your-children-from-ai-is-to-invest-in-ai/#respond Thu, 09 Oct 2025 03:05:20 +0000 http://livelaughlovedo.com/2025/10/09/the-main-way-to-save-your-children-from-ai-is-to-invest-in-ai/ [ad_1]

It’s been several months since we returned from Hawaii, and surprisingly, my FOMO about the AI tech boom has faded. Sure, I still don’t have a job paying me gobs of money as AI CapEx surges higher, but that’s OK. Instead, I’ve allocated enough money to AI investments to where I no longer feel the need to chase the industry from the inside.

You see, my real fear isn’t missing out on another AI unicorn. It’s raising kids in a crueler and harsher world—one where, partly because of their identities, they get rejected from every top-50 university they apply to. Then, by the time they graduate from a so-so university, entry-level jobs have largely been automated away by AI.

This is not some far-off dystopia. CEOs of every major company are openly exploring or adopting AI. They’re implementing hiring freezes, slashing jobs, and reducing headcount by the thousands. Accenture cutting 11,000 jobs and Lufthansa cutting 4,000 jobs due to AI aren’t outliers, they’re harbingers. Anyone paying attention can extrapolate how dire things could be 15–18 years from now, when my children are entering the workforce.

As an investor, it’s key to forecast the future. As a parent, it’s key to forecast potential misery for your children. In both cases, if you forecast even halfway properly, you’ll likely end up wealthier, calmer, and better prepared.

Thoughts on AI: more pessimism than optimism about artificial intelligence

Jobs Are Vanishing Due To AI

Take a look at the S&P 500’s recent performance in red compared to Total Job Openings in white. Notice the inflection point: investor optimism as AI promises profitability due to increased productivity, while job openings continue to crater.

As an investor, my hope is the S&P 500 keeps climbing—history suggests it will over the long run. As a parent, my fear is that Total Job Openings will continue to collapse to 2009 levels or worse. I clearly remember the 2008-2009 Global Financial Crisis—that’s when I launched Financial Samurai after the seventh round of layoffs at Credit Suisse. Fear was my motivator then too.

At the pace we’re going, by 2032 we could easily see a scenario where the S&P 500 is at a record high, but job openings match the lows of the last crisis.

And yet, after privately consulting with dozens of readers this year, I don’t think most Americans realize what’s coming. Sure, I may sound fatalistic, but a large part of my wealth has come from recognizing and investing in long-term trends. And the AI bulldozer is real.

Job openings increasing with less jobs after ChatGPT was created

Find Your Minimum AI Investment Comfort Point

Just as there’s a “Minimum Investment Threshold” where work becomes optional and you can stop stressing about office politics, there’s also a “Minimum AI Investment Threshold” where you can stop worrying quite so much about AI wrecking your career or your children’s livelihoods.

This Minimum AI Investment Threshold is conceptually similar to your Coast FIRE number. But unlike Coast FIRE, which is too dangerous for most people to rely on, the Minimum AI Investment Threshold is an active hedge, not a passive hope.

Here’s how to calculate yours:

Plug into an AI tool. Use a compound interest calculator or your favorite AI LLM to crunch the numbers for you.

Forecast the timeline. Estimate when your job will be eliminated due to AI, or when your children will graduate high school or college and enter the job market.

Estimate future living expenses. Take today’s basic living expenses and project them forward using a reasonable inflation rate (2%–4%).

Choose your cushion. Decide how many years of basic living expenses you’ll want saved in AI investments—pick anywhere from 1 to 10 years.

Discount to today’s dollars. Use a discount rate of 2%–8% (lower if conservative) to calculate how much you’d need to invest now.

Example Using Our 8-Year-old Son

Let’s take my 8-year-old son. In the year 2040, 15 years from now, he’ll be 23 and a new college graduate from a regular university.

An income that could cover his basic needs is $40,000 a year in today’s dollars—equivalent to $62,319 at a 3% annual inflation rate in 2040.

I estimate it may take him 2–4 years of job searching to realize that his dreams of clicking buttons to optimize ads for big tech companies are out of reach. At that point, he’ll probably have to take a trades job to make ends meet. (Electricians, plumbers, and general contractors should be in huge demand given all the datacenters being built.)

So, I need to have about $125,000–$250,000 ($62,319 X 2 – 4 years) set aside for him by the year 2040 to give him that cushion.

Here’s how much I’d need to invest today to reach $125,000–$250,000 in 15 years, depending on the discount rate:

Discount Rate Needed for $125,000 Needed for $250,000
2% $92,877 $185,754
3% $80,233 $160,465
4% $69,408 $138,816
5% $60,127 $120,254
6% $52,158 $104,316
7% $45,306 $90,612
8% $39,405 $78,810

Based on a realistic worst-case scenario—him taking 4 years to realize his hopes and dreams won’t materialize—at a 2% discount rate I’d need about $185,754 invested today. That way, by the time he’s 23, I’ll have secretly set aside $250,000 in AI investments alone to help him survive.

It is vital all parents NOT tell their children exactly how much they are saving and investing for them. You don’t want them to become soft and develop an entitlement mentality.

AI Investing as a Psychological Hedge

Some of you may be scratching your heads: why invest in AI at all if I’m only assuming 2%–8% annual returns? With such modest expectations, I could just invest mostly in Treasury bonds yielding 4%–5% sprinkled with some stocks.

I hear you. But the point isn’t just the math. It’s the psychology.

Will you diligently invest for your or your children’s future specifically to hedge against AI? Maybe, maybe not. Further, I’m trying to be conservative in my assumptions.

By specifically investing in the very companies that may make your life and your children’s lives harder, it becomes easier to actually save and invest for the future. You now have a clear why behind your delayed gratification. And when you have a why, almost anything is possible.

When you start viewing AI as an unstoppable beast that could run you and your children over, you get more motivated to invest in AI companies.

Fear and Responsibility Drive Me to Invest

In 2025, driven by fear of a dire future and a strong sense of responsibility to protect my kids, I embarked on a new quest. I decided to invest the Minimum AI Investment Threshold so I could reduce my worry and even start rooting for the very technology that could harm my children.

The first step was opening a new Fundrise Venture account earmarked for my children with $26,000 in early August. (There was, and still is, a promotion where if you invested over $25,000, you got $500 for free invested in their Flagship real estate fund.)

Then, as my Treasury bills matured, I kept funneling between $15,500–$50,000 at a time into Fundrise Venture to hit my Minimum Investment Threshold. Every transfer I made into my account made me feel better.

The main way to save your children from AI is to invest in AI - Children's Fundrise Venture Innovation Fund allocation
Children’s new AI investment dashboard

Hedged Against Whatever Happens

Only time will tell whether investing $190,000 in 2025 in names like OpenAI, Anthropic, Databricks, Anduril, Canva, Ramp, and dbt Labs will pan out. If they do, I’ll be thrilled. The $190,000 could grow to anywhere from $256,000 to $2.87 million, based on a 2%–20% annual return.

That means one child will either have all his or her expenses covered for four years of job-hunting or perhaps be set for life. They can pursue careers they want rather than careers they need.

Alternatively, I could potentially lose 80% of my money and end up with just $38,000 after 15 years because AI turned out to be an overhyped dud. Maybe CapEx spend is too high for the profits. Maybe the world realizes human oversight is more essential than ever—Jevons’ Paradox at work.

In that scenario, I’d be even more thrilled if both my children found livable-wage jobs they enjoyed. Because as parents, it is our responsibility to raise children to be self-sufficient adults. Needing to still depend on your parents after age 25 slowly chips away at your sense of worth.

Without the mission of protecting my kids from AI, there’s no way I would have invested $190,000 in risk assets like the S&P 500 in just two months. Most of the money came from risk-free Treasury bonds after I sold my old house earlier in 2025. In the past, I’ve dollar-cost averaged more slowly, or invested in structured notes with downside protection when valuations are high.

But once I reallocated the money from me to my children, I extended the investment time frame from “right now” to 15 years in the future. And when you have such a long runway to invest, it becomes easier to stomach risk assets.

Asset Allocation Matters Too

Finally, when deciding your Minimum AI Investment Threshold, compare that target number to your overall asset allocation. The comparison can be to your total investable capital or total net worth.

Personally, I have a target of investing up to 20% of my investable assets in alternative investments such as venture capital. Not only am I in an open-ended venture fund that invests in AI, I’m also invested in four other closed-end VC funds, and I’m considering two more that all have AI investments.

Sure, the Yale and Harvard endowments have ~40% of their assets in private equity or alternatives. But you don’t have the size, influence, or edge of a multi-billion-dollar endowment. For the average DIY investor, allocating up to 20% in alternatives is plenty.

The older (and hopefully wealthier) you get, the more important proper asset allocation becomes to ride out volatility. Review your goals, run new financial projections, and stay disciplined. It’s easy to get caught up in hype, especially in a bull market. But nothing good lasts forever.

No More AI FOMO

I’m no longer bummed I don’t have a job at a hot AI startup growing triple-digits a year. It felt like a waste not grinding it out while living in AI central, San Francisco. I’m also less bummed that AI is stealing my content on Financial Samurai and not providing a proper link back.

But now that I’ve reached the Minimum AI Investment Threshold for both kids, I’m more at peace.

It feels great to invest in hungry founders and employees working 60+ hours a week for fortune and glory, while I play pickleball during the day and write on Financial Samurai. I’m grateful to be investing in AI near the beginning of the revolution. Our young children aren’t as lucky, which is why it’s up to us to invest for them.

Invest in AI
An extreme take on grindcore culture I’m not down with, but would happily invest in

So, for all you AI employees out there, keep grinding and enjoy the ride. You could make enormous fortunes over the next ten years, and I’ll be grateful if you do!

Readers, how are hedging against AI destroying the livelihoods of your children? Do you think most people are aware of the risks AI poses for their job security? What are some other things we are doing to help our children thrive in an AI world?

Easy Ways To Invest In AI

If you want exposure to private AI companies, consider Fundrise Venture. The platform owns stakes in names like OpenAI, Anthropic, Anduril, and Databricks. AI is poised to reshape the labor market, eliminate millions of jobs, and dramatically boost productivity. Since private companies are staying private much longer than in the past, it makes sense to allocate some capital to them if you want to capture potential upside before they go public. Fundrise has been a long-time sponsor of Financial Samurai, and I’m personally an investor in their funds.

For public exposure, you can also just buy QQQ or shares of the Magnificent 7—Apple, Microsoft, Google, Nvidia, Meta, Tesla—plus Oracle, which has become a stealth AI play. The beauty of investing is that you don’t need to live in Silicon Valley to participate. From anywhere in the world, you can buy a piece of these companies leading the AI revolution.

That said, don’t forget: there are no guarantees when investing in risk assets. Fast-growing companies can be extremely volatile when downturns hit. For example, Meta lost more than half its value during the 2022 bear market before recovering. Always stay diversified, keep an eye on your asset allocation, and make sure your portfolio matches your risk tolerance.

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The 10 Best Employability Skills to Have for 2026 http://livelaughlovedo.com/the-10-best-employability-skills-to-have-for-2026/ http://livelaughlovedo.com/the-10-best-employability-skills-to-have-for-2026/#respond Sat, 27 Sep 2025 04:28:22 +0000 http://livelaughlovedo.com/2025/09/27/the-10-best-employability-skills-to-have-for-2026/ [ad_1]

In today’s rapidly evolving job market, employability skills are key stepping stones to building and sustaining a successful career. They play a critical role in improving your workplace performance, in addition to helping future-proof your career. Often referred to as soft skills, work-readiness skills or enterprise skills, they combine problem-solving, adaptability, interpersonal communication, teamwork and other transferable abilities that can help you thrive in any work environment.

As the global job market undergoes a rapid transformation driven by digital innovation, hybrid or remote work culture and artificial intelligence, employability skills are becoming even more valuable. In the coming years, thriving in your career will also demand portable skills such as digital literacy, remote collaboration, adaptability and AI proficiency. 

The job market and competition are evolving. This post highlights some of the top employability skills job seekers and professionals can develop to stay competitive and future-ready. 

Leadership Lab offer

What Are Employability Skills?

Employability skills are core skills most people need to succeed in their career, whether working independently or as part of a team. They include qualities such as effective communication, adaptability, leadership, critical thinking, collaboration, emotional intelligence, and self-motivation. These qualities are a blend of highly desirable and transferable skills that allow individuals to adapt to change and collaborate with others. 

Unlike technical skills, which are specific to a particular task, job role or sector, employability skills are transferable, remaining relevant regardless of the profession or industry. In today’s fast-evolving job market, these skills demonstrate resilience and flexibility. 

Moreover, employability skills are critical in the hiring process. As key differentiators, they can help recruiters shortlist well-rounded candidates who have the potential to become long-term assets to the company. 

When it comes to career advancement, technical skills might help you land your dream job. However, you will also need strong employability skills to thrive and progress in that role. Whether it’s tech, healthcare, education, or any other industry, core skills can help you get ahead. For instance, professionals who can communicate effectively and contribute to a sense of teamwork are more likely to attain leadership roles, promotions, and cross-functional opportunities. 

Related: Remote Leadership Skills Needed to Successfully Manage Distributed Teams

Why Are Employability Skills Important for the Future?

The future of work is being reshaped by rapid technological advancements, AI integration, automation, and the rise of hybrid and remote work culture. As such, employability skills are critical for staying future-ready and achieving long-term career success. 

In this rapidly evolving landscape, companies and hiring managers are shifting to prioritize candidates with strong employability skills over hard skills or technical expertise. Soft skills help individuals communicate effectively, learn new technologies, and thrive in a fast-paced work environment—and these abilities can help ensure long-term success. 

Beyond the hiring process, employability skills keep professionals relevant and prepared for new roles or challenges. They offer the mindset and flexibility to adapt to and succeed in a constantly changing workplace. 

Overall, employability skills are essential not just for gaining a competitive edge in the hiring process but also for adapting to evolving work models and staying relevant in the future workforce.

The Top 10 Skills Employers Will Look For in 2026

The job market changes quickly and demands employable skills that combine human, future-focused and timeless characteristics. Here are 10 must-have skills employers look for in 2026: 

1. Emotional Intelligence

Emotional Intelligence (EQ) enables understanding and managing emotions. Employers value EQ for teamwork, conflict resolution, adaptability, and inclusive leadership.

2. AI Literacy

AI is rapidly reshaping industries. Knowing how to use AI tools or technologies and understanding their limits is a top skill for tech-driven roles or a future shaped by AI. 

3. Data Storytelling

The ability to turn data into captivating storytelling is a highly sought-after quality. Employers look for professionals who can analyze intricate data and effectively communicate their insights. This skill can also lead to improved communication, better decision-making, and increased engagement.

4. Problem-Solving

Creative and efficient problem-solving remains vital across industries, from finance to healthcare. This timeless skill involves analyzing issues, generating solutions, and effectively implementing them.

5. Adaptability

Adaptable workers embrace change and resilience, thriving in dynamic workplaces. Employers reward workers who embrace new technologies and work efficiently in uncertain situations.

6. Effective Communication

Clear communication encourages collaboration and conveys ideas effectively to diverse audiences. All forms, whether written, verbal or visual, are important. Employers look for individuals who can articulate ideas, actively listen and tailor effective messages. This helps to meet the needs of clients or end-users.

7. Digital Collaboration

With the rise of hybrid and remote work models, proficiency with digital tools is also important. Platforms such as  Slack ensure seamless virtual teamwork across different time zones. Employers prefer candidates with strong digital collaboration skills; these traits help promote efficiency and innovation in modern, tech-driven workplaces. 

8. Critical Thinking 

Critical thinkers evaluate information carefully and make sound decisions. Employers value professionals with this timeless skill. It often shows that an individual can address complex situations and contribute to improved organizational efficiency and performance. 

9. Sustainability Mindset

A focus on sustainability aligns with corporate responsibility. Employers may prioritize those who can introduce eco-friendly practices into everyday operations. Ultimately, this can lead to a responsible, sustainable future for the company and the world. 

10. Creativity and Innovation

Creativity sparks innovation, from product design to problem-solving. Employers seek fresh thinkers who can generate new ideas and drive growth. These skills blend human connection, tech fluency and timeless competencies, ensuring success in today’s job market.

Related: How AI in the Metaverse Is Changing the World

How to Build Strong Employability Skills

Employability skills are in high demand among organizations and hiring managers in today’s fast-changing job market. Whether you’re just entering the industry or a professional looking for opportunities to advance in your career, having a set of key employability skills can help you achieve your goals.

While some employability skills come naturally through experience, there are a few you may develop or refine over time with the right strategies. Here are some tips you may follow to build or strengthen your employability skills:

1. Join Online Courses

Regardless of your experience or industry, online courses can be helpful. They offer a flexible way to build and polish high-demand employability skills. Several online platforms, including LinkedIn Learning, Skillshare, and Coursera are available. They can develop essential skills like communication, problem-solving, digital literacy, and leadership. 

These courses can also help you stay updated with emerging workplace or industry trends, enabling you to thrive in every role and sector. You may also explore JimRohn.com for timeless personal development insights and tools for long-term success.

2. Seek Out Mentorship

Seeking mentorship is an effective way for personal and professional growth. A good mentor can help you build confidence, improve communication and enhance interpersonal skills. They can also help you develop strategic thinking by offering regular feedback and encouragement. People often find their mentors in the workplace or within professional networks.

Volunteering is one of the best ways to develop organizational, teamwork and leadership skills. No matter the type or size of event, volunteering offers real-world, hands-on opportunities to learn and enhance your abilities. 

4. Learn from Real-World Experiences

Whether through an internship, a full-time role or freelancing, real-world experience is vital. It can play a key role in refining your employability skills such as communication, collaboration with the team, taking initiative in completing tasks and managing time and responsibilities. Regardless of the work or industry, your hands-on experience teaches you how to implement those skills practically in real-world situations. 

Stay Ahead With Future-Proof Skills

There’s no doubt that employability skills are crucial to standing out, getting hired and staying relevant. They can also help future-proof your career as industries, tools, technologies, marketing trends and job roles continue to evolve. 

Keep developing or polishing key skills such as adaptability, emotional intelligence, problem-solving, AI literacy, and creativity. Continuing to hone your soft skills will allow you to navigate new challenges, explore emerging career paths and move your career or business forward. 

Photo from TippaPatt/Shutterstock.com

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Investing in early-in-career talent is vital to win the AI race http://livelaughlovedo.com/investing-in-early-in-career-talent-is-vital-to-win-the-ai-race/ http://livelaughlovedo.com/investing-in-early-in-career-talent-is-vital-to-win-the-ai-race/#respond Fri, 22 Aug 2025 06:05:48 +0000 http://livelaughlovedo.com/2025/08/22/investing-in-early-in-career-talent-is-vital-to-win-the-ai-race/ [ad_1]

As the AI era accelerates, some leaders have predicted a wipeout for entry-level white-collar jobs. I understand these concerns as unemployment rates rise for U.S. college graduates. But cutting early-in-career (EIC) talent isn’t a transformation strategy. It’s the start of a slow-motion collapse.

AI is fundamentally changing how we work. People will increasingly oversee more AI agents, changing the way we think about teams. Business leaders must shape what’s next—not shrink from it.

From job elimination to job evolution

EIC employees are AI natives who are already leading the transformation. They intuitively engage with tech, bring creative agility, and have the curiosity needed to thrive in fast-changing environments.

According to the World Economic Forum, job loss between 2025 and 2030 will be more than offset by new roles, leading to a net gain of 78 million jobs. As some roles and tasks phase out, new ones emerge that require skills like AI and data fluency, creative thinking, resilience, and curiosity.

If we don’t protect and modernize the EIC pipeline, we risk widening the skill gaps and stalling the impact and ROI of AI solutions. EIC talent will be tomorrow’s leaders, so we need to build pathways for them today.

The demographic and leadership imperatives

The talent pipeline is narrowing just as the pace of transformation is accelerating.

U.S. birth rates are declining. Fewer 18-year-olds are entering the workforce. Higher education costs are skyrocketing, and many high school graduates are choosing two-year and technical degrees or trade jobs.

That makes every EIC hire even more valuable.

HR leaders help define the structure of the workforce and manage payroll—the largest line on the profit and loss statement—so where we invest matters. EIC roles are often the smartest entry point for workforce planning.

We need to build AI-first cultures rooted in continuous learning, with roles that fuel business and personal growth. That means doubling down on equipping early-career talent with the skills, creativity, and adaptability to lead AI-powered organizations. And our succession pipelines must prioritize leadership capabilities like AI fluency, orchestration, and human-centered change management.

That means focusing on these key steps:

  • Reimagine strategic workforce planning

As leaders, we must identify the skills AI won’t replace and the skills that matter most to our businesses—from programming and UX design to collaboration, creative problem solving, and empathy. Then we should map those skills to evolving roles. For example, if AI handles research, an entry-level role could evolve into a prompt engineer or curator. Other future roles could include AI safety and ethics coordinators and AI agent trainers for front line workers.  

  • Design new rotations and exposure

Companies that invest in internships build future-ready talent pipelines. Internships today are table stakes. To stand out, we need to build rotational programs, apprenticeships, and real-world experiences that give EIC hires exposure across the business. Reverse mentoring, for example, could give EIC talent a chance to connect directly with senior leaders, while giving those leaders a window into AI-native thinking.

The goal is to retain top talent by creating a culture of growth, mobility, and connection. With clear goals, meaningful work, strong managers, and real learning experiences, EIC talent has the chance to thrive and drive innovation. At ServiceNow, 95.6% of our interns accepted our full-time offers in 2024, proof of meaningful investment.

  • Embrace AI-first learning for growth and retention

Retaining top talent, especially early-in-career talent, starts with listening followed by meaningful action. Sixty-five percent of EIC workers say they’d stay at least four years at a company if it offered robust development opportunities. We need to show EIC talent how they can grow, and design learning that matches their curiosity.

EIC employees expect learning to be personalized, bite-sized, and built into the workflow. That’s why we launched ServiceNow University—to train our employees and the broader technology ecosystem. It’s working: EIC hires at ServiceNow have a 7% lower attrition rate in their first two years than their peers.

The long game: Invest in young talent and AI

Leaders don’t need to decide between cutting costs and investing in the future. They can do both when they focus on transforming the workforce.

Organizations that lead with intention—those that rethink roles, invest in AI enablement, and reimagine EIC talent—will attract the best minds and shape the next era of innovation.

We all have a lot to learn in this new world, and we should evolve our strategies as we go. But EIC employees are essential. Their fluency with technology, drive to learn, and creative edge are exactly what we need to build the future. We can’t afford to sideline them.

Committing to EIC talent will require a lot of hard work and vision, but with the right strategy, it is possible.

Jacqui Canney is chief people and AI enablement officer at ServiceNow.

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40 jobs that AI will steal—and not even teachers are safe http://livelaughlovedo.com/microsoft-researchers-have-revealed-the-list-of-the-40-jobs-that-ai-is-likely-to-steal-and-not-even-teachers-are-safe/ http://livelaughlovedo.com/microsoft-researchers-have-revealed-the-list-of-the-40-jobs-that-ai-is-likely-to-steal-and-not-even-teachers-are-safe/#respond Thu, 31 Jul 2025 16:03:41 +0000 http://livelaughlovedo.com/2025/07/31/microsoft-researchers-have-revealed-the-list-of-the-40-jobs-that-ai-is-likely-to-steal-and-not-even-teachers-are-safe/ [ad_1]

As companies like Amazon publicly announced AI-driven workforce reductions, workers are scrambling to understand which careers might soon disappear and be outsourced to technology.

A new report from Microsoft researchers studying the occupational implications of generative AI, offers some clarity.

Translators, historians, and writers are among the roles with the highest AI applicability score, meaning the job’s tasks are most closely aligned with AI’s current abilities, according to the report released this month that ranked professions. 

Customer service and sales representatives—which make up about 5 million jobs in the U.S.—are also highly vulnerable to being replaced by AI. 

Overall, the jobs on AI’s chopping block are ones that are ones that involve knowledge work—like people doing computer, math, or administrative work in an office, the researchers wrote. Sales jobs are also on the list, since they often involve sharing and explaining information.

Of course, there are some jobs that are safe from AI’s claw: Dredge operators; bridge and lock tenders; and water treatment plant and system operators are among the jobs with virtually no generative AI exposure, thanks in part to their hands-on equipment requirements.

Still, business leaders like Nvidia CEO Jensen Huang have said that every job will be touched by AI in some way, and so it’s best to embrace it. 

“Every job will be affected, and immediately. It is unquestionable,” Huang said at the Milken Institute’s Global Conference in May. “You’re not going to lose your job to an AI, but you’re going to lose your job to someone who uses AI.”

A degree won’t save you from AI’s jobs revolution

Many of the jobs with high chances of getting upended by AI soon, like political scientists, journalists, and management analysts, are all ones that typically require a four-year degree to land a job. And as the researchers point out, having a degree—which was once considered a surefire path to career advancement—is no longer a safeguard against the changing tides. 

“In terms of education requirements, we find higher AI applicability for occupations requiring a Bachelor’s degree than occupations with lower requirements,” wrote the researchers, who studied 200,000 real-world conversations of Copilot users and cross-compared the AI’s performance with occupational data.

On the flip side, there are some career paths with low AI exposure, that are growing in demand. The healthcare sector, in particular, is an area that is experiencing this heavily. The home health and personal care aid industry is expected to create the greatest number of new jobs over the next decade, according to the U.S. Bureau of Labor.

At the same time, the researchers recognized that even their findings don’t capture the full scope of the AI revolution—and there could be further automation caused by more than just generative technology: “Our measurement is purely about LLMs: other applications of AI could certainly affect occupations involving operating and monitoring machinery, such as truck driving.”

Fortune reached out to Microsoft for comment.

Gen Z’s big bet on education might not be all glam

After seeing the rollercoaster of layoffs across the tech industry over the past few years, many Gen Zers have turned to seemingly steadier fields like education.

The sector was the fastest-growing industry among recent U.K. graduates last year, and it was similarly a top career choice for American graduates. And while the profession can provide further work-life balance and decent benefits, the ability for AI to do the work may cause further headache. The report singles out farm and home management educators—as well as postsecondary economics, business, and library science teachers—as roles with relatively high AI applicability.

While it’s unlikely that schools will roll out AI teachers en masse, the report’s findings underscore how quickly the technology could reshape the education profession—and many others.

The top 10 least affected occupations by generative AI:

  1. Dredge Operators
  2. Bridge and Lock Tenders
  3. Water Treatment Plant and System Operators
  4. Foundry Mold and Coremakers
  5. Rail-Track Laying and Maintenance Equipment Operators
  6. Pile Driver Operators
  7. Floor Sanders and Finishers
  8. Orderlies
  9. Motorboat Operators
  10. Logging Equipment Operators

The top 40 most affected occupations by generative AI:

  1. Interpreters and Translators
  2. Historians
  3. Passenger Attendants
  4. Sales Representatives of Services
  5. Writers and Authors
  6. Customer Service Representatives
  7. CNC Tool Programmers
  8. Telephone Operators
  9. Ticket Agents and Travel Clerks
  10. Broadcast Announcers and Radio DJs
  11. Brokerage Clerks
  12. Farm and Home Management Educators
  13. Telemarketers
  14. Concierges
  15. Political Scientists
  16. News Analysts, Reporters, Journalists
  17. Mathematicians
  18. Technical Writers
  19. Proofreaders and Copy Markers
  20. Hosts and Hostesses
  21. Editors
  22. Business Teachers, Postsecondary
  23. Public Relations Specialists
  24. Demonstrators and Product Promoters
  25. Advertising Sales Agents
  26. New Accounts Clerks
  27. Statistical Assistants
  28. Counter and Rental Clerks
  29. Data Scientists
  30. Personal Financial Advisors
  31. Archivists
  32. Economics Teachers, Postsecondary
  33. Web Developers
  34. Management Analysts
  35. Geographers
  36. Models
  37. Market Research Analysts
  38. Public Safety Telecommunicators
  39. Switchboard Operators
  40. Library Science Teachers, Postsecondary

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AI isn’t coming for your job—it’s coming for your whole org chart  http://livelaughlovedo.com/ai-isnt-coming-for-your-job-its-coming-for-your-whole-org-chart/ http://livelaughlovedo.com/ai-isnt-coming-for-your-job-its-coming-for-your-whole-org-chart/#respond Mon, 21 Jul 2025 01:56:16 +0000 http://livelaughlovedo.com/2025/07/21/ai-isnt-coming-for-your-job-its-coming-for-your-whole-org-chart/ [ad_1]

Last month, my friend Amy, a mid-level marketing manager at a Fortune 500 company, had her entire junior analyst team “restructured.” Why officially? “Strategic realignment.” Reality? AI tools now handle what used to be three full-time positions.

Amy isn’t alone in this new reality. AI has eliminated 76,440 jobs in 2025 alone, and 41% of global employers plan to reduce their workforce in the next five years due to AI automation. But, you don’t just lose your current job when this happens, you lose the corporate ladder you were climbing. The relationships you made and the personal career brand you built that led to promotions and growth are gone.  

The Career Ladder is Breaking (and No One’s Talking About It) 

We are currently experiencing changes in the job market that we have never seen post-industrial revolution, specifically in Big Tech. Big Tech reduced hiring new graduates by 25% in 2024 compared to 2023. Simultaneously, they increased hiring professionals with 2–5 years of experience by 27%.

How can you pay your dues, learn, and build your career when there are no entry-level positions to be had? This paradox is becoming more and more common in today’s workforce; companies want someone with experience, but there are fewer and fewer positions that allow an employee to gain experience. 

This sea change feels different. The past 35 years have given us more rapid change than at any time in history. The speed at which technology has advanced has placed us in the dot-com boom, the mobile phone revolution, and the cloud transformation. AI isn’t just changing what we do and how we perform, it’s eliminating the steps we traditionally started with to learn, grow, and develop our soft and hard skills to build a foundation for a career. 

Speed and Efficiency Now, Devastation Later

The entry-level people who filled the office floor, built a unique and diverse team, and brought life and energy into the office are now being phased out. AI does what they did faster and AI doesn’t take sick days or need health insurance. Lawyers who have just passed the bar, learning the basics of a profession via document review? That process is now automated. 

The new generation of the workforce feels a risk when investing in a four-year degree. A study from the World Economic Forum revealed that  49% of US Gen Z job hunters believe AI has reduced the value of their college education. What will this lead to in 10–15 years, as people with experience and knowledge begin to retire and fewer people are qualified to assume those roles? 

Another question: for those of us in the midst of a career, how do we advance when the ladder that was once just a few rungs up is chopped off and thrown in a corporate fireplace?  

Companies Currently Solving the Problem

When studying organizations meeting these changes head-on and winning, I’ve seen a few commonalities. They don’t simply cut costs to cut costs. They are fundamentally reimagining how work gets done. For example:

  • British Columbia Investment Management Corporation 

BCI increased productivity by 10% to 20% for 84% of their Microsoft Copilot users while increasing job satisfaction by 68%. This resulted in saving more than 2,300 person-hours with automation. This was accomplished not by simply implementing AI, but by the way they redesigned workflows around human-AI collaboration.

  • Daiichi Sankyo 

Within a month of building their internal AI system (DS-GAI), over 80% of employees reported improved productivity and accuracy. They’re using AI advancements not to replace current employees, but to augment their capabilities.

These are the types of approaches any company looking to implement AI and automation can work into their deployment project plans can follow. How can they foster increased human-tech collaboration? How can they make their current team more productive and take the business to levels previously unattainable? 

People Ahead of the Curve

The good news is, there are plenty of professionals who are thriving during these days of upheaval and transition. For the most part, these people are taking three common approaches to find ways to use AI to their advantage. 

  • They orchestrate with AI

Successful people I know don’t fight AI, they teach themselves how to direct it and use it to their benefit. They understand that humans will always be in charge of technology. With that knowledge, they can position themselves as the conductor with an orchestra of AI at their command.

  • They Focus on Uniquely Human Skills

Develop and hone the skills that AI amplifies. Humans will be freed to build creative problem-solving, strategic thinking, relationship-building processes, and guidelines. When AI is deployed to do all mundane repetitive tasks, these skills are where humans must thrive.

  • They Position Themselves at the Intersection 

The future will be written and commanded by individuals who bridge the unique creative minds of humans with the efficiency, accuracy, and speed of AI. 

What is the common thread of these three points? How you use AI to your advantage. You can stand on the beach and scream at the coming tidal wave or grab a surfboard and teach yourself to ride that wave. Those who choose the latter path will be those who run the world. 

The World We Know is on Death’s Door

The truth we all must face today is that 2025–2026 will be the year companies prepare for a generational change in how we work with AI. This will disrupt nearly every industry. Org charts will be completely rewritten or scrapped entirely. But remember that you can make a difference and influence this change by simply preparing yourself as I have laid out in this article. 

The choice is no longer whether AI is for you, the choice is how you decide to leverage AI to your benefit. We’ve seen this before; I remember people pushing back against using computers, people pushing back against using email, people pushing back against cellphones. Pushing back against AI today is precisely what those people did. The professionals who embrace this change and use AI as a tool for advancement will be the ones who write the org charts of the future. 

Start today. Your future self will thank you.

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Geoffrey Hinton: These Jobs Will Be Replaced Due to AI http://livelaughlovedo.com/geoffrey-hinton-these-jobs-will-be-replaced-due-to-ai/ http://livelaughlovedo.com/geoffrey-hinton-these-jobs-will-be-replaced-due-to-ai/#respond Tue, 17 Jun 2025 05:34:11 +0000 http://livelaughlovedo.com/2025/06/17/geoffrey-hinton-these-jobs-will-be-replaced-due-to-ai/ [ad_1]

The “Godfather of AI” says that some fields are safer than others when it comes to being replaced by AI.

Geoffrey Hinton, 78, is often referred to as the Godfather of AI due to his pioneering work on neural networks, which began in the late 1970s. He won the 2024 Nobel Prize in Physics for his work on machine learning and is currently a professor emeritus in computer science at the University of Toronto.

In a recent interview on the podcast “Diary of a CEO” that aired on Monday, Hinton said AI has the potential to cause mass joblessness.

“I think for mundane intellectual labor, AI is just going to replace everybody,” Hinton said.Mundane intellectual labor” refers to white-collar jobs. He specified that the replacement would take the form of “a person and an AI assistant” doing the work that “ten people did previously.”

Related: These 3 Professions Are Most Likely to Vanish in the Next 20 Years Due to AI, According to a New Report

Hinton gave one example, noting that paralegals were at risk of losing their jobs to AI, and said that he would be “terrified” to work in a call center right now, due to the potential for automation. However, he pointed out that blue-collar work would take a longer time to be replaced by AI.

“I’d say it’s going to be a long time before it [AI] is as good at physical manipulation,” Hinton said in the podcast. “So, a good bet would be to be a plumber.”

In the interview, Hinton also challenged the notion that AI would create new jobs, stating that if AI automated intellectual tasks, there would be few jobs left for people to do.

“You’d have to be very skilled to have a job that it [AI] just couldn’t do,” Hinton said.

Geoffrey Hinton. Photo By Ramsey Cardy/Sportsfile for Collision via Getty Images

AI has the potential to decrease hiring, especially for entry-level jobs. A report released last month from venture capital firm SignalFire found that big tech companies have stopped hiring new graduates for entry-level roles as much as they did in the past, and AI is a significant reason for the decline.

The report found that the percentage of new graduate hires at companies like Meta and Google dropped by 25% from 2023 to 2024, reaching just 7% in 2024.

Related: Investment Firm CEO Tells Thousands in Conference Audience That 60% of Them Will Be ‘Looking for Work’ Next Year

It’s not just the tech industry — Wall Street also shows signs of being impacted by AI. In March, Morgan Stanley announced layoffs of 2,000 employees, intending to replace some with AI. A report released in January from Bloomberg Intelligence showed that AI could cause as many as 200,000 job cuts across 93 major banks, including Citigroup and JPMorgan, within the next five years.

The “Godfather of AI” says that some fields are safer than others when it comes to being replaced by AI.

Geoffrey Hinton, 78, is often referred to as the Godfather of AI due to his pioneering work on neural networks, which began in the late 1970s. He won the 2024 Nobel Prize in Physics for his work on machine learning and is currently a professor emeritus in computer science at the University of Toronto.

In a recent interview on the podcast “Diary of a CEO” that aired on Monday, Hinton said AI has the potential to cause mass joblessness.

The rest of this article is locked.

Join Entrepreneur+ today for access.

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Here’s how you can thoughtfully integrate AI on your team http://livelaughlovedo.com/heres-how-you-can-thoughtfully-integrate-ai-on-your-team-without-leaving-your-employees-behind/ http://livelaughlovedo.com/heres-how-you-can-thoughtfully-integrate-ai-on-your-team-without-leaving-your-employees-behind/#respond Mon, 16 Jun 2025 09:32:48 +0000 http://livelaughlovedo.com/2025/06/16/heres-how-you-can-thoughtfully-integrate-ai-on-your-team-without-leaving-your-employees-behind/ [ad_1]

AI is no longer a fringe technology sitting on the sidelines of innovation. It’s already influencing who gets hired, how diagnoses are made, what products we prioritize, and even which creative ideas rise to the top. But the most urgent leadership question isn’t how fast we adopt AI. It’s how deeply we integrate our humanity alongside it.

As a leadership adviser, I have worked with executives navigating complex, high-stakes transformations. The leaders who thrive in this new landscape aren’t the ones chasing every shiny new tool, nor are they the ones retreating into nostalgic resistance. They are the ones who have learned to bring more of themselves into the room: their discernment, their emotional intelligence, and their narrative insight. 

Because when machines get smarter, humans must become better stewards of meaning.

Beyond the Binary: A New Leadership Mandate

We live in a world addicted to binaries: human or machine, analog or digital, automate or resist. The future won’t be built in absolutes, according to a joint study by MIT Sloan Management Review and the Boston Consulting Group. Some 85% of companies who have implemented AI tools in their work report that it has brought them tangible business value. Yet fewer than 20% have redefined the roles and capabilities of their workforce alongside those tools. 

Technology is accelerating rapidly, while human systems are lagging behind. To close that gap, we need a new leadership lens—one that doesn’t just examine what AI can do but also asks what kind of world we’re creating with it.

Introducing the HIT Framework for Human-Integrated Thinking

AI doesn’t need to replace human thinking; it should expand it. We don’t need to out-compute machines, but we do need to out-human them. 

That starts with cultivating the very traits that make us irreplaceable: the ability to imagine, empathize, and make meaning. The HIT Framework, or Human-Integrated Thinking, is a call to action for modern leaders. It has three core capacities:

1. Humility. In the age of algorithms, humility becomes a superpower. It allows leaders to admit what they don’t know, to question machine decisions, and to build cultures where challenging the output is not just allowed but expected. 

In my work with a multinational services firm, we introduced an “AI Oversight Council” composed of technical experts, ethicists, and frontline employees. Emotional intelligence was just as important as engineering know-how. The result? More inclusive innovation and stronger decision-making accountability.

2. Imagination. AI can extrapolate based on what’s already known. But only humans can envision what has never existed. 

At Pixar, creators use AI tools to iterate on lighting and character rendering, but the heart of storytelling remains deeply human. In leadership development retreats I facilitate, we use metaphor, visual facilitation, and speculative prompts to prototype not just strategies, but alternative futures. Imagination isn’t soft; it’s structural.

3. Trust-building. AI might simulate empathy, but it can’t build trust. That requires presence, consistency, and compassion. When AI is used in areas like hiring, product design, or healthcare, the human layer must ask: What’s the emotional impact of this decision? 

In one life sciences organization I supported, a new AI initiative stalled until leaders reframed the rollout as a human experience, not a technical one. We designed storytelling rituals that allowed employees to share how the changes affected their work and their personal identity. It wasn’t about winning hearts and minds. It was about honoring them.

The Cost of Ignoring the Human Factor

Unchecked, AI systems will reinforce bias, scale inequity, and prioritize efficiency over dignity. A report from the World Economic Forum cites curiosity, emotional intelligence, and interdisciplinary collaboration as among the most critical competencies for the future of work. But how many org charts actually reward those traits? To lead in this era, executives must be able to toggle between data and emotion, logic and empathy, code and context. We need leaders who can read a spreadsheet and a room with equal fluency.

The turning point in that same life sciences company didn’t come from better code. It came when the executive team made a human shift. They stopped talking about AI in abstract terms and began reflecting on how it would change their relationships with employees, with patients, and with themselves. They invited facilitators, designers, and frontline voices into the quarterly business review. They stopped asking, “How do we implement this?” and started asking, “Who do we want to become through this?” That single question reoriented the conversation from compliance to transformation.

The story of AI isn’t finished, and it’s not being written by code alone. It’s being coauthored by the choices we make every day: how we show up, what we measure, who we include, and what kind of intelligence we prioritize. 

AI will continue to evolve, but the leaders who rise with it won’t just automate workflows; they will humanize systems, cultivate wisdom, and bring courage, imagination, and care to a world that desperately needs it. Because the real competitive edge isn’t in how fast you adapt to technology—it’s in how fully you choose to remain human.


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