Right Hire, Right Growth: A Practitioner's Unfiltered Look at AI Across Hiring and Retention
& Jim Link & Chris Vitale
"If you were a software engineer two years ago, you have a very different job than you do now post-AI."
What it was about
AI has broken the old signals HR relied on for hiring and development: resumes, gut instinct, annual reviews. Organizations now need skills-based assessment to verify real candidate capability, plus continuous, human-delivered coaching (not remediation) to keep people agile as jobs change faster than ever.
By the numbers
Key notes
- Move away from resume reliance toward skills-first hiring, using proctored AI skills assessments (cognitive, language, engineering, simulation) to verify claimed capabilities rather than trusting polished, AI-tailored resumes.
- Watch for 'skill fishing' — candidates using AI to inflate resumes, read answers off a second screen during interviews, or even present an AI-generated face on video calls.
- Deploy coaching as a growth benefit for all employees (not just remediation for underperformers) since flatter, AI-transformed organizations give managers less bandwidth to develop people directly.
Take this back Monday
Assign every new hire and newly promoted employee an external coach for their first six months, not just struggling performers.
Resumes are broken by AI, so we should verify skills directly and give every employee ongoing coaching instead of waiting for annual reviews.
Watch out for
- Relying on resumes alone in a world where anyone can paste a job description into ChatGPT and get a perfectly tailored resume, making keyword-matching a poor proxy for actual capability.
- Over-indexing on pedigree (school, prior employer) in hiring, which causes companies to miss large pools of skilled candidates who don't fit the narrow profile.
- Trusting traditional behavioral assessments as strong positive predictors: they're good at flagging negative traits (a short temper, say) but much weaker at predicting positive performance.
Matthew Hoffman helped scale DigitalOcean toward its IPO, where Harvard Business Review profiled the company's performance-development approach under his watch.
