Your People Are Worried About AI. Is Anyone Talking to Them?

Gallup's latest numbers show 27% of U.S. workers now worry technology will make their job obsolete, the highest since they started asking. For workers under 45 it's one in three. When people are worried and nobody's talking to them, they fill the silence with their own stories, and those stories become your culture.

In this episode I get into what that silence costs you in trust, retention and quiet workarounds. I also cover what leaders can say even when they don't have every answer, and why the message should come from the district manager, with leadership behind them and HR in the room.

One thing to try this week: ask your managers what they're hearing from their teams about AI. If the answer is "nothing," that's your first problem to fix.

A Clarity at Work Ltd. Podcast. More at ClarityAtWork.ca.

A Canadian distributor with 150 people loses its controller of eleven years, can't fill the seat, and buys an AI tool that promises to cover a big chunk of the work. Nobody's being careless. But the tool works differently from the AI most of us know, and that changes what you need to ask before you sign.

In this episode I look at why an AI accounting company built a feature that shows a person every decision the AI made, and why it took a rule to create the demand for it. Agent tools don't hand you a draft to check. They carry out a string of actions over hours or days, and by the time anyone looks, the work is done. So the real question is whether you can reconstruct what happened and why. With Robert Half reporting that 68% of Canadian finance and accounting managers are struggling to hire and keep people, these tools are being sold right where the pressure is highest.

I finish with three questions to bring into any vendor demo: can my team explain a single decision six months from now, what happens to our data, and who on our side owns what this tool produces.

A Clarity at Work Ltd. Podcast. More at ClarityAtWork.ca.

When AI Goes Wrong, HR Gets the Bill.

Most organizations build AI governance backwards. Legal and IT write the rules, someone drafts a policy, and HR gets a call at the end to train people or collect signatures. By then the tools are live, the roles have shifted and the accountability gaps are already baked in.

In this episode I look at who actually sits at the AI table. SHRM's 2026 research found about half of organizations don't involve HR in AI strategy at all. Deloitte found boards talk to the CIO or CTO about AI 72% of the time and the CHRO just 5%. When something goes wrong, it rarely shows up in a server log first. It shows up as a hiring decision nobody can explain, a performance score nobody can defend, or a shadow tool someone installed because the official path was too slow.

I finish with four things to change: bring HR in before the contract is signed, write AI accountability into real jobs, connect AI use to how you manage performance, and stop treating governance as a tax on innovation.

A Clarity at Work Ltd. Podcast. More at ClarityAtWork.ca.

In 2021, the Standards Council of Canada published a roadmap for how this country should govern data and AI. People from government, industry, academia and Indigenous organizations spent a year on it, and the authors said it would be out of date the day it was published. They were right.

In this episode I walk through what's changed since then. Bill C-27 and its proposed AI law died in 2025. This June, Ottawa released a new national AI strategy without a standalone AI law, and tabled Bill C-36 to replace PIPEDA. That bill is still at second reading. Meanwhile, Quebec's Law 25 and Ontario's AI disclosure rules for job postings are already in force, and generative AI and agents have changed what governance has to cover.

If you've been waiting for Ottawa to tell you what to do about AI, I lay out what to do now. Pick a standard to work to, name who owns AI decisions, put AI on the monthly ops agenda, and treat Indigenous data sovereignty as a design input from day one.

A Clarity at Work Ltd. Podcast. More at ClarityAtWork.ca.

A few years ago, Harvard Business School and Accenture went looking for the people employers keep saying they can't find, and counted more than 27 million of them in the US alone. Close to nine in ten employers admitted their own screening was throwing out qualified candidates before anyone looked at them.

In this episode I get into where those filters live in a mid-sized organization, even if you've never bought an applicant tracking system: the screener questions, the "degree required" line nobody remembers adding, the hiring manager who skips anyone with a gap, and the AI tool someone uses to sort résumés. I also talk about who ends up filtered out, and what it costs you when you're already short-staffed.

Then I walk through what you can do this month: read your last three job postings as a stranger, review every screener question and knockout rule, talk to your hiring managers about how they treat gaps, and find out who owns any AI tool that touches your applications.

A Clarity at Work Ltd. Podcast. More at ClarityAtWork.ca.

A manager asks the company's AI assistant for a salary range and gets real numbers, pulled from executive HR files she was never supposed to see. Nobody hacked anything and nobody broke a rule on purpose. The tool reached what it was allowed to reach, and that's a governance failure happening in organizations right now.

In this episode I walk through why it happens and what it can cost you, from SHRM's research on how few organizations have an AI policy that holds up, to US cases like Workday and Muldrow v. City of St. Louis that show where employer liability is heading. I also get into why mid-sized organizations are especially exposed, and why HR keeps getting left out of the AI conversation.

Then I share the four steps I use with mid-sized organizations to get ahead of it: scan what's running, review your policies, put a plain reality report in front of leadership, and build a plan ranked by risk.

A Clarity at Work Ltd. Podcast. More at ClarityAtWork.ca.

Straight talk on HR and AI for leaders of organizations with 50 to 500 people, where the specialist is usually you.

If you run or help run an organization with 50 to 500 people, you're in a funky space. You're big enough that a bad hire, a messy policy or an AI tool nobody approved can cost you real money, but you don't have a legal team, a data governance office or an HR specialist for every problem. Most of the time, that specialist is you.

Most of the advice out there is written for companies with ten thousand employees or five-person startups. Clarity in the Middle is for everyone in between.

I'm Theresa Lynn, President & Founder of Clarity at Work Ltd. I spent 17 years in leadership at one of Canada's largest companies, sitting across from town councils in heated exchanges, running teams across multiple geographies and leading large transformational change. Now I work with organizations across Western Canada on their HR strategy and how they govern AI.

Each episode tackles the issues showing up on your desk now, the ones coming down the pipe, and the ones keeping decision makers up at night: what your staff are already doing with AI and the risk that creates, how to write a policy people will actually follow, why performance reviews fall flat, and who's accountable when something goes wrong.

It's straight talk. No corporate or technical jargon for the sake of it, and no pretending there's one playbook for every organization.

More at ClarityAtWork.ca.

A Clarity at Work Ltd. Podcast