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The most interesting stories in HR & AI weekly

AI Is Giving CHROs a Bigger Job

Atlassian, Moderna, and Lumen have expanded their top HR leaders’ roles to include AI transformation, reflecting a shift toward HR helping redesign work around the evolving mix of human and AI capabilities; Why it matters: CHROs could increasingly become architects of enterprise AI transformation, reshaping hiring, skills, performance management, and workforce design rather than simply implementing workforce reductions; Reality Check: New titles at a handful of prominent companies don’t yet make this a widespread CHRO model, but they signal that AI transformation is becoming as much an organizational-design challenge as a technology challenge.

Anthropic CEO Calls for Slowing the Pace of AI Development

Anthropic CEO Dario Amodei argues that frontier AI capabilities are advancing faster than safety measures can keep up, driven partly by AI increasingly helping build the next generation of AI, and is calling for independent embedded evaluators, industry coordination, and ultimately international agreements to pace development; Why it matters: One of the leaders building the world’s most advanced AI systems is now explicitly arguing that capabilities may be progressing too quickly—a notable signal for business leaders planning around assumptions of continued rapid AI advancement; Reality Check: Amodei isn’t calling for AI development to stop, and acknowledges that competitive and geopolitical pressures make meaningful industry-wide or global slowdowns difficult to achieve. Related: What would it actually mean to slow down AI?

Trump Rejects Calls for New AI Guardrails

President Trump dismissed growing calls from AI leaders for stronger government oversight, arguing that additional guardrails could slow U.S. innovation and hand China an advantage; Why it matters: The divide between Washington and parts of the AI industry is widening just as companies face bigger questions about how quickly advanced systems should be deployed; Reality Check: The debate is far from simply “regulation versus innovation;” AI leaders including Dario Amodei and Sam Altman are themselves calling for greater safeguards while other industry leaders argue the risks are overstated.

AI Is Becoming a Manager’s Performance Coach

AI tools are increasingly helping managers prepare for performance reviews and deliver more consistent employee feedback, potentially turning a traditionally uneven management skill into an always-on coaching capability; Why it matters: For HR leaders, AI could scale better management practices by giving every manager real-time support for difficult conversations, feedback, and employee development; Reality Check: AI can help managers structure and sharpen feedback, but it can’t replace the judgment, trust, and human context required for effective people leadership.

Uniper’s Context Aware AI Recruiting Agents

Uniper combined Microsoft Copilot Studio with Celonis’ process context to help its recruiting agent identify and act on specific hiring bottlenecks, contributing to a 27-day reduction in average time-to-sign and a 13-day shorter screening phase. Key Insight: Giving agents deep context about how work actually flows can significantly improve the quality of output.

HRBPs Asked to Cover More

Survey says: 63% of Respondents to last week’s poll said that HRBP have been been asked to cover more of the business in the last 12 months.

Over the past 12 months, has the average HRBP at your organization been asked to cover more or less of the business (e.g., employees, teams, functions, or business units)?

An MIT/NBER randomized trial of patent lawyers found AI improved work quality, especially for junior lawyers, but when AI was removed, senior lawyers showed gains in underlying expertise while junior lawyers did not. Why it matters: If foundational expertise helps workers learn from AI, automating junior-level work could boost productivity today while weakening the experiences through which tomorrow’s experts develop judgment. Reality Check: AI isn’t necessarily undermining junior development, but organizations may need to deliberately redesign early-career roles so productivity gains don’t come at the expense of learning.

A two-year MIT Sloan study found enterprise AI scaled when experimentation was treated as real work (with dedicated support, evaluation processes and recognition in performance and career systems) rather than an extra task for motivated employees. Why it matters: HRBPs may need to redesign roles, capacity, incentives and performance systems to make AI adoption part of how work gets done. Reality Check: Giving employees AI tools and training may spark experimentation, but without organizational infrastructure and protected capacity, most experiments are unlikely to scale.

Four former warehouse workers filed a proposed nationwide class action alleging Amazon systematically denied pregnant employees basic accommodations and penalized or fired workers for pregnancy-related absences; Why it matters: As companies feed attendance, productivity, and performance data into AI-driven systems, HR needs to ensure protected circumstances don’t inadvertently influence discipline, ratings, or layoffs. Reality Check: This is not an AI lawsuit and Amazon disputes the allegations, but the case underscores why exception handling is becoming a critical legal and HR control in automated workforce management.

ADP is expanding its AWS partnership to power ADP Assist agents and other generative and agentic AI capabilities across payroll and HCM; Why it matters: This is one of the clearest signs yet that agentic AI is moving into the high-stakes transactional core of HR (payroll, compliance and workforce administration) not just recruiting and employee Q&A; Reality Check: This is primarily a vendor partnership announcement, and beyond ADP citing a 50%+ reduction in certain onboarding steps, there’s limited evidence yet on how broadly these agents are deployed or what measurable outcomes customers are seeing.

Newly launched BoomerangHR raised $12.7 million to build an AI-powered platform that automates offboarding and alumni engagement, including exit processes and matching former employees to open roles; Why it matters: The launch highlights a growing vendor push to apply AI beyond recruiting and core HR workflows to previously underinvested areas like offboarding and alumni talent pools; Reality Check: Claims that the platform can largely “run itself” come primarily from the vendor and early customers, so HR leaders should look for independent evidence on outcomes, integration effort, accuracy, and compliance before assuming AI can automate these processes end-to-end.

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Until next week,

Mike & Adam

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