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.
The worker isn't lying. The worker is reporting what it thought it did, which is always one step removed from what the world actually shows. The fix isn't more self-honesty. The fix is a different pair of eyes.
Shopping is the last mile
Every meal planning app treats cooking as the hard problem and shopping as a logistics detail. They have it backwards. Cooking is mostly solved. Shopping is the last mile.
Watch what they buy, not what they say
Forms ask people to declare preferences. Receipts record what they did. The gap between the two is where revealed preference lives, and it's wider than most product teams admit.
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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Explore how generative AI enhances jobs by automating tasks, fostering efficiency, and creating new opportunities instead of replacing human roles.
Atlassians choose where they work, every single day. Download our free report to see what we’ve learned as a result.
Explore Atlassian's insights on flexible work policies and employee satisfaction. Download the free report to learn from their distributed work experience.