For many people, a career is not just a way to earn. It is also status, structure, belonging, and identity. As AI reshapes skilled work, employer brands may need to offer something more grounded than lofty promises of purpose and authenticity.
Work is getting more managed, more measured, and in some places more monitored. This week: HR rebuilding foundations as engagement slides, workers using ChatGPT for wage help, the return of monitoring and tougher RTO, and why the AI layoff narrative is becoming its own management problem.
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Meta’s reported 20% layoff plan has turned “AI efficiency” into a boardroom headline. This week: workplace friction as AI speeds up expectations, Gen Z’s growth gap, the real risks behind open models and token costs, and why layoffs are increasingly being narrated as automation.
This article is for Members only
Many employer branding briefs often aren’t really briefs at all. They’re shopping lists of activities without a clearly defined problem to solve. The result? Wasted time, diluted budgets and projects that struggle to deliver meaningful outcomes.
Hiring isn’t just hard, it’s riskier. AI has flooded recruitment with “resume slop”, pushed candidates to hide experience, and opened the door to sophisticated fraud. Meanwhile, AI rollouts still need humans, process, and proof. This week: trust, verification, and work redesign.
This article is for Members only
AI was meant to cut the drudge work, free up time and make leaner teams look clever. Instead, the evidence so far points to patchy gains, longer hours, shakier quality and a great deal of managerial confidence unsupported by anything so vulgar as proof.
AI was meant to buy time. For many teams, it’s doing the opposite. This week: why AI can lengthen workdays, how L&D is being pushed to prove impact, why remote work is drifting into law, and what fresh job cuts say about where the pressure is landing.
This article is for Members only
Many employer branding briefs often aren’t really briefs at all. They’re shopping lists of activities without a clearly defined problem to solve. The result? Wasted time, diluted budgets and projects that struggle to deliver meaningful outcomes.
Hiring isn’t just hard, it’s riskier. AI has flooded recruitment with “resume slop”, pushed candidates to hide experience, and opened the door to sophisticated fraud. Meanwhile, AI rollouts still need humans, process, and proof. This week: trust, verification, and work redesign.
This article is for Members only
AI was meant to cut the drudge work, free up time and make leaner teams look clever. Instead, the evidence so far points to patchy gains, longer hours, shakier quality and a great deal of managerial confidence unsupported by anything so vulgar as proof.
AI was meant to buy time. For many teams, it’s doing the opposite. This week: why AI can lengthen workdays, how L&D is being pushed to prove impact, why remote work is drifting into law, and what fresh job cuts say about where the pressure is landing.
This article is for Members only
