Yale says AI isn't displacing jobs. Stanford says it's destroying junior roles. Here's why they're both right - and what it means if you're young, building a company, or hiring right now.
The AI job displacement debate - Yale vs Stanford:
- Yale report (33 months of labor data): No proof AI is displacing jobs, we're very early in cycle
- Stanford report: AI destroying junior jobs specifically - entry-level software dev employment down 20% from 2022 peak
- Both are right - looking at different things with different methodologies
Why they're both correct:
- Yale looking at macro: Total jobs in economy haven't disappeared yet (AI still not good enough to replace humans)
- Stanford looking at micro: Tracking individual early-career people who can't get hired
- Companies asking: Why hire junior analysts when ChatGPT can do 60-70% of work?
- Mid-level people getting slight raises to do junior work with AI assistance
- Jobs still exist, companies not laying off predominantly for AI - but junior hiring is paused
Real examples happening now:
- University of Waterloo grads struggling to find jobs (used to be easy to get Google/Meta internships pre-ChatGPT)
- Starbucks: 900 corporate layoffs, paused almost all new hires, eliminated office job positions
- SimpleDirect: Haven't laid off anyone for AI reasons, but also only added 1 role in 2 years
- Using contractors (Fiverr, Upwork) and AI for roles instead of hiring full-time junior staff
The societal challenge ahead:
- Canada youth unemployment hit 30-year high at 15% (not entirely AI, but trend is real)
- How do we sell value of universities if graduates can't get white-collar jobs?
- AI not good enough today to replace humans, but getting there in months/years
- Gap widening between haves (AI-enabled workers) and have-nots
Your takeaway if you're young:
- Make yourself AI-compatible to be hired - learn how to learn new tools quickly
- Free resources everywhere: Perplexity, ChatGPT, Claude, Gemini all have free tiers
- Productivity gap is real - young people need to step up with available tools
- If you're in junior job now, step up immediately - this isn't a joke
ConvertKit case study - the messy middle nobody talks about:
- 2013: Nathan Barry launched with $5K, set public goal of $5K MRR in 6 months - only hit $2K MRR (failed publicly)
- 2014: Revenue DROPPED to $1,300/month, almost shut down - put in $50K more, hired full-time developer, doubled down
- 2015 March: Finally hit $5K MRR (2 years late) → December: $97,000 MRR (19x increase in 9 months!)
- 2016: 150+ webinars teaching email marketing (not just sales pitches) - closed year at $600K MRR (6x growth)
- 2023: $36M ARR, 49,000+ customers, laser-focused on creators entire time (never added new segments)
What made ConvertKit work:
- Concierge migrations: Personally helped customers switch from Mailchimp on Zoom calls (hundreds of hours)
- Affiliate marketing: One Pat Flynn promotion = $5K MRR in single month
- Did things that don't scale: Manual migrations, 150+ educational webinars per year
- Failed publicly but didn't give up - took 2 years to hit initial goal
- Bootstrap vs VC = depth vs breadth: Obsessed over creators for 12 years, never wavered once
Lessons for founders today (2025 vs 2013):
- Don't put $50K on the line like Nathan did - you have AI, Zoom, Google Meet now (12 years ago had none)
- But still do things that don't scale - traffic won't come by itself, customers won't find you automatically
- Stay obsessed with ONE customer segment - don't waver even when things get hard or very good
- My new approach (free ebook "De-Risk Your Startup"): Consulting first → use AI → build product → scale
Three founder tweets that hit different:
1. Obsession (from Slash Remish Nudie):
- "Startups are about placing bets so bold they scare you"
- Successful founders share one trait: Not luck, not connections, not brilliance - OBSESSION
- Pick problem you cannot stop thinking about, go all in when logic says stop
- Uber example: Travis Kalanick threatened with jail for operating in SF, said "go F yourself" and kept going
- I walked away from multimillion dollar banking deal that took 3.5 months just to review our IP - not logical, but right call
2. Emotional detachment (from Gorov Saying 03):
- "Best founders don't never feel fear/excitement - they don't let either control them"
- Detach self-worth from business outcomes - company is not me, it's something I'm building
- I publicly admitted SimpleDirect Financing shutdown after 4 years - not hiding the screw-up
- Used to defend every bad comment emotionally, now see outcomes as data points not identity points
- Can't make 100% customers happy - aim for 51%, figure out why rest aren't and fix it
- Did 100% customer support until recently - raw phone calls where people said "screw your company" taught me this
3. Marketing from day zero (from Saeed Barak):
- "Marketing is from day zero. MVP means single killer feature. Bake distribution in app."
- I admit I only picked up marketing in recent weeks/months - biggest single mistake
- SimpleDirect focused on business development, partners, affiliates - minimal marketing
- Excuse was "blue collar workers don't use internet like white collar" - WRONG, they use Facebook/Yelp/Instagram
- Now spending 20-30 hours/week catching up on 4 years of missed marketing - overwhelming but necessary
- If launching new product: Start marketing 2-3 months BEFORE product is born
How these three connect:
- Need obsession over customer problems to keep building when logic says quit
- Need emotional detachment so that obsession doesn't destroy you
- Need marketing from day zero - even before product exists
Bottom line: Junior jobs are disappearing (both Yale and Stanford are right). ConvertKit shows the messy middle everyone hides - 2 years of public failure before hitting goals. Three founder truths: Obsess over customer problems not your company, detach emotions from outcomes, start marketing before you even have a product.
New episodes Monday/Wednesday/Friday at 9am EST. Real founder lessons from the messy middle.
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