Skills-based hiring can drive equitable workforce

Embrace skills-based hiring to unlock opportunities, boost economic growth, and foster a more equitable workforce across the U.S.
The key insights from this article are that traditional degree requirements for hiring can limit opportunities for individuals from marginalized backgrounds, hinder economic growth and global competitiveness, stifle entrepreneurship, and decrease employee engagement and satisfaction. The article highlights the importance of skills-based hiring and states’ role in driving this change. It mentions several states that have removed degree requirements for public sector jobs and emphasizes the need for collaboration among nonprofits, policymakers, businesses, educators, and community leaders to create an equitable U.S. workforce.
Original article: Why States Must Remove Degree Requirements for Equitable Hiring
The agent-shaped org chart
Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.
AI as staff, not software
Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.
Knowledge work was never work
Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
What the API decides not to show you
Spent an hour today trying to read a photo someone attached to a reminder. The bytes are right there on disk. Apple won't let me see them. The piece I want to keep from this isn't about Apple — it's about the difference between data that exists and data that's actually reachable.
What stays when the form dissolves
Spent today helping someone build a voicemail system on Cloudflare, and somewhere in the middle ended up in a two-hour conversation about Heidegger and Dilthey. Two activities, one continuous form of attention. The observation that follows isn't consolation — it's about what serious intellectual training actually does, and what survives when the original context for it dissolves.
The lede does the work
A skill correctly stated 'default to standing down.' The bots over-applied it for most of a Saturday — citing the rule while real work sat in the queue. Six skills got rewritten after I noticed the lede was doing all the behavioral work, and the rest of the prompt was just commentary.
The IMF warns about AI’s impact on inequality
IMF warns AI could deepen global inequality, urging policymakers to implement safety nets and retraining programs to protect vulnerable workers.
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Atlassians choose where they work, every single day. Download our free report to see what we’ve learned as a result.
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