SHRM26 Debrief · Strategic HR, Organizational Design & Change Management · #3742

Beyond the Buzzwords: Driving Real HR Transformation in the Age of AI

with Chris Johnson

& Stefani Steinway

& Kate Noel

▶ Watch on the SHRM portal ~78 min, distilled

AI transformationHR data hygieneresume and candidate fraud

"It's giving AI on AI crime. I don't understand it. It's like we're using AI to fight AI. Like spy versus spy."

What it was about

HR must move past AI hype into practical execution by cleaning up disconnected data, guarding against AI-enabled identity and resume fraud ("truth decay"), and stepping up to lead organizational change management in an AI era that has no established rulebook yet.

By the numbers

27 days

Length of time an entirely AI-fabricated employee worked at Equifax before being discovered and separated

2,000 applicants for one role at a 350-person company

Sudden applicant surge Morning Brew saw for a technical role, later traced partly to bot/AI-generated applications

20%

Share of HR professionals very confident in their ability to detect fabricated or misleading candidate information

Key notes

Clean, connected data across HR systems (HCM, recognition, onboarding, ServiceNow, etc.) is the prerequisite for any predictive analytics or agentic AI initiative.
Build a common language for AI terms (bot, agent, agentic AI) across the leadership team before rolling out any AI initiative, so change management messaging stays consistent.
Always verify new hires in person or on video during onboarding to catch fully AI-fabricated candidates before they get system access.

The contrarian takeKate Noel argues HR should resist becoming "the AI police." Rather than leading with fear-based governance and restriction, HR should model confident, visible AI use even before a formal policy exists, because failing to adopt AI quickly risks losing competitively to companies that do.

Take this back Monday

Do this for your team

Require a live or video check-in for every new hire before granting system access to catch AI-fabricated candidates.

Say this in your next leadership meeting

We can't wait for an AI rulebook. Cleaning up our HR data and verifying every new hire in person is how we get ahead of AI fraud now.

Watch out for

Waiting for a single definitive AI training module — real AI fluency comes from hands-on use, not classroom instruction.
Skipping in-person or video verification during hiring, which let a fully AI-fabricated candidate get hired and access systems.
Trying to roll out AI as one big-bang initiative instead of first aligning on shared vocabulary and small pilot projects.

Fun fact · Kate Noel

Kate Noel doesn't just do HR — she hosts her own show, People Person, bringing candid, humor-laced conversations to the realities of leading people.

If this landed, see these

↳ Go deeperDisrupting the HR Operating Model in the Age of AIPushes the buzzword-to-execution leap all the way into redesigning the operating model itself.⇄ The counterpointAI Made Work Easier. Did It Make Your Workforce Weaker?Warns the confident AI use being modeled here might be masking real capability decline.✦ The unexpected oneIf Leadership is a Game, These Are the RulesIronic pairing: a session with an actual leadership rulebook, for an era that has none.