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The most interesting stories in HR & AI weekly

Companies Push Slack Conversations Public for AI

Companies including Zapier, Salesforce and ElevenLabs are encouraging employees to move conversations from private DMs into public Slack channels so AI agents can tap more of the organization’s institutional knowledge. Why it matters: AI adoption is turning knowledge management and communication norms into an HR issue, as companies rethink how employees share information to make AI more effective. Reality Check: Making more workplace conversations AI-accessible could improve productivity, but it also risks chilling candid communication and raises important questions around employee privacy, trust and AI governance.

AI May Be Hitting Paychecks Before Jobs

An Apollo analysis of 321 occupations finds wages in jobs highly exposed to AI grew 6.7% more slowly after 2023 than in low-exposure jobs, while finding no statistically significant impact on employment. Why it matters: AI’s first major workforce impact may show up in compensation and wage growth rather than headline layoffs, with lower-paid workers potentially bearing the greatest impact. Reality Check: The analysis covers only 321 occupations and relies on Anthropic usage data to measure AI exposure, so it’s too early to conclude AI is causing slower wage growth.

Mariner Is Spending $35 Million a Year on an AI Workforce

Wealth management firm Mariner is deploying at least 700 AI “full-time equivalents” from Humanity Labs at $50,000 each, creating a roughly $35 million annual AI workforce to handle tasks including onboarding, compliance reviews, reporting, and billing. Why it matters: This offers a tangible glimpse of how companies may begin budgeting for AI agents as labor capacity, not simply software, and scaling growth without adding human headcount at the same rate. Reality Check: Mariner says the goal is to free employees for higher-value human work rather than replace them, but its model still raises big questions about how AI workforces will reshape future hiring and staffing needs.

California Targets the Rise of AI ‘Robobosses’ (Registration Required)

Andon Market says its AI manager helped trigger the firing of a San Francisco employee for repeated tardiness, as California lawmakers advance SB 947 requiring disclosure and human review when automated systems drive disciplinary or termination decisions. Why it matters: As AI moves from supporting managers to making consequential workforce decisions, HR leaders may face new requirements for transparency, human oversight, and employee access to the data behind those decisions. Reality Check: California’s governor vetoed a broader version of the legislation last year, and even if the revised bill becomes law, the bigger challenge will be defining meaningful human oversight as AI systems become more capable.

AI Is Making Candidate Cheating Harder to Ignore

Wharton’s Peter Cappelli argues AI is making it easier for candidates to game remote interviews and assessments, citing research that cheating attempts doubled over the past year and more than 60% went undetected. Why it matters: Employers may need to rethink AI-era hiring processes and put greater emphasis on assessments that verify what candidates can actually do. Reality Check: Cappelli argues the most reliable solution may also be decidedly low-tech—and more expensive: bringing interviews and assessments back in person.

Deloitte Pays $21.5M to Settle Federal DEI Probe

Deloitte agreed to pay $21.5 million to settle DOJ allegations that its DEI practices improperly considered race and sex in hiring, promotions and staffing, without admitting liability. Why it matters: The settlement raises the legal and financial stakes for employers, particularly federal contractors, using demographic goals or protected characteristics in talent decisions. Reality Check: The case underscores the need for HR leaders to distinguish lawful efforts to expand opportunity from employment decisions explicitly based on protected characteristics.

The College Advantage Is Breaking Down for Young Workers

Unemployment among 22-to-26-year-olds with bachelor’s degrees has climbed to 6.1%, as weak entry-level white-collar hiring, rising graduate supply, and AI exposure squeeze the bottom rung of the career ladder. Why it matters: This is more evidence that AI may already be reducing entry-level hiring for knowledge workers, potentially disrupting the traditional first rung of the white-collar career ladder. Reality Check: AI isn’t the only factor, as hiring freezes in graduate-heavy sectors and a growing supply of college graduates are also contributing to the squeeze. See related research from Stanford below on the AI employment gap for younger workers.

Walmart’s frontline AI rollout is creating an unexpected new responsibility for employees: correcting, contextualizing, and sometimes working around AI-generated tasks, routes, and safety alerts. Key Insight: As companies deploy AI agents, they need to plan for the human oversight required to make them reliable, not assume automation simply removes work. Reality Check: AI oversight can become an unplanned workload of its own, making net capacity created a better measure of AI productivity than tasks automated.

New Stanford research finds no widespread AI-driven job displacement, but employment for workers ages 22–25 in highly AI-exposed occupations is now 19% below comparable young workers in less-exposed jobs, driven primarily by reduced hiring rather than layoffs. Why it matters: AI may be quietly reshaping entry-level talent pipelines before its impact becomes visible in overall employment numbers. Reality Check: The researchers stress that the findings are descriptive, not proof that AI caused the decline, and experienced workers have not seen a comparable employment gap.

A Predictive Index study finds CEOs are significantly more confident than managers themselves that managers are prepared to navigate difficult employee conversations, including those emerging as AI changes jobs and expectations. Why it matters: As AI reshapes roles, managers will increasingly be on the front lines of sensitive conversations about performance, skills, job changes, and uncertainty. Reality Check: Giving managers talking points or AI tools won’t necessarily make these conversations easier; organizations may need to invest more deeply in the human skills required to lead through change.

Resume Now: 70% of Workers Say ChatGPT Understand Their Work Challenges Better Than Their Manager

A Resume Now survey finds 70% of workers say ChatGPT understands their work challenges better than their manager, while 57% fear retaliation for asking the wrong question and 47% say ChatGPT is faster and more convenient. Why it matters: Employees may increasingly turn to AI not just for productivity, but as a lower-friction (and potentially psychologically safer) alternative to asking their managers for help. Reality Check: AI can provide fast, judgment-free answers, but it lacks the organizational context, accountability, and human relationship that effective managers bring.

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Until next week,

Mike & Adam

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