📧 Email This Week's Brief
3.6K+ AI-related layoffs this month Meta: 3,600 · Microsoft: 6,000+ · Workday: 1,750
What it means
→ Your best engineers are being recruited RIGHT NOW
→ Offer more + move fast or lose them to startups
→ Retrain or outsource commodity coding work
Action
Review comp + propose internal AI training ASAP
60–70% of industries facing significant AI disruption McKinsey · Goldman Sachs · BLS data
What it means
→ Your customers expect AI-first solutions
→ If you're not offering it, competitors are
→ Budget expectations will shift (they're cutting elsewhere)
Action
Audit product roadmap — where's AI?
Prompt engineering: +250% YoY · AI PM: +180% ML fine-tuning median: $185K+
What it means
→ New skills worth 2–3× more than legacy roles
→ Your team needs upskilling or a hiring pivot
→ Old playbooks won't work
Action
Budget for training or hire a specialized team
AI Product Manager salaries +28% YoY AI/ML engineers: $250K–$500K total comp
What it means
→ Your burn rate will increase if you need AI talent
→ Companies without AI will face investor skepticism
→ Revenue/employee drops if you don't automate
Action
Factor into FY 2026–2027 budgeting now
AI job postings +340% since Jan 2025 Avg time-to-hire: 18 days (was 67)
What it means
→ First-mover advantage: 6-month window left
→ Your 18-month roadmap is already outdated
→ Execution speed = survival
Action
Cut decision-making bureaucracy — move weekly, not quarterly
🎯 This Week's Action Items
1
Review your top 10 people's comp vs. market rate
2
Audit your product for AI differentiation gaps
3
Check if any AGI company shift impacts your ICP
4
If >5K employees, model AI cost impact on salary budget