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A legal complaint alleges that AI influenced Meta’s termination decisions for employees on protected leave, highlighting the enterprise need for stronger governance in AI-assisted workforce decisions.
The IBM settlement with the DOJ dismantles its DEI programs and halts diversification of its workforce. HR consultants say that may mean that diversity efforts must focus on recruitment, not hiring choices.
Everyone’s using AI at work, but hardly anyone is seeing real results because we're missing the training and human strategy needed to make the tech actually work.
The global AI race is now about talent, not markets. Closing a 4.2M skills gap by 2030 demands ecosystem-led, industry-academic talent development.
We stopped treating AI employees like chatbots and started treating them like junior colleagues who needed to learn on the job.
Hiring is harder now because AI changed the rules: The best candidates aren’t the most polished, they’re the ones who learn fast and thrive in ambiguity.
AI isn’t just another tech rollout — it changes how work feels and flows, which is why CIOs and people leaders have to redesign jobs together.
As with previous tech transitions, IT and HR must collaborate to soften the impact of AI-fueled transformation on employees — and prepare them to be impactful agent colleagues.
Agentic AI works like an ER: A coordinator, specialists and constant learning that take the hidden coordination load off people.
Finding, attracting, and developing skills for IT teams continues to riddle organizations as turnover remains high and market sirens entice.
Escalations don’t have to be messy — done right, they’re how smart teams cut through conflict and keep work (and trust) moving forward.
Forget killer robots — AI is quietly automating your job, reshaping your kids’ future and rewriting society itself.
AI can crank out code, but your best developers turn it into something that actually works. The future belongs to human-AI dream teams.
Your customer data shouldn’t have to move to make an impact.
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