Latest / The Daily Reset Podcast / The part of AI adoption that doesn’t appear in any vendor deck
Transcript
- 0:02SPEAKER_00: Hello, everyone.
- 0:03SPEAKER_00: I'm Laurel Quinn, and thank you for giving me some of your Friday.
- 0:09SPEAKER_00: We are here to talk about the part of AI adoption that doesn't appear
- 0:15SPEAKER_00: in any vendor deck, your people.
- 0:19SPEAKER_00: Because most organizations are under pressure to adopt AI quickly,
- 0:24SPEAKER_00: and most are discovering that providing the tools and the training is the easy half.
- 0:30SPEAKER_00: The hard half Is human.
- 0:33SPEAKER_00: That's today.
- 0:37SPEAKER_00: So a quick shape of the session.
- 0:39SPEAKER_00: We're going to do it in five parts.
- 0:43SPEAKER_00: Why tools and training don't automatically create adoption.
- 0:49SPEAKER_00: Five warning signs that your people may be getting left behind.
- 0:54SPEAKER_00: And I'd encourage you to quietly score your own organization as we go.
- 1:00SPEAKER_00: What apparent resistance is really telling you and the conditions responsible
- 1:07SPEAKER_00: for responsible human-centered adoption and three questions to take back
- 1:13SPEAKER_00: to your leadership team.
- 1:15SPEAKER_00: And that slide is worth a screenshot.
- 1:18SPEAKER_00: Just some housekeeping.
- 1:19SPEAKER_00: This is being recorded and everyone registered gets the recording by email.
- 1:28SPEAKER_00: Drop questions into the chat as they occur
- 1:31SPEAKER_00: and I will message each organization individually at the end.
- 1:40SPEAKER_00: So 90 seconds on whose hands you're in, then we'll get to work.
- 1:47SPEAKER_00: I've spent more than 20 years in financial services, fintech and digital transformation.
- 1:53SPEAKER_00: I had senior roles at Aberdeen Asset Management and Lloyds Banking Group,
- 1:58SPEAKER_00: where I helped scale digital into 30 countries.
- 2:04SPEAKER_00: My daughter and I founded Sustainably, which became Richard Branson's startup of the year.
- 2:10SPEAKER_00: More recently,
- 2:11SPEAKER_00: I've delivered AI strategy and ethics sessions for leadership teams,
- 2:16SPEAKER_00: including at the data lab,
- 2:18SPEAKER_00: and I've built and shipped my own AI product with
- 2:22SPEAKER_00: a published responsible AI framework to go with it.
- 2:27SPEAKER_00: I've also burnt out, failed, and started again.
- 2:32SPEAKER_00: Both parts of that CV matter today because I've seen Transformation from
- 2:38SPEAKER_00: the boardroom and from the receiving end.
- 2:45SPEAKER_00: And the core belief.
- 2:47SPEAKER_00: Here's the belief that runs through everything today.
- 2:49SPEAKER_00: AI adoption isn't a technology challenge.
- 2:54SPEAKER_00: It's a leadership and people challenge.
- 2:59SPEAKER_00: And I use this technology every day.
- 3:01SPEAKER_00: I've built my whole business with it.
- 3:03SPEAKER_00: AI will make your organization faster.
- 3:07SPEAKER_00: That part is already done.
- 3:09SPEAKER_00: It's not in question.
- 3:10SPEAKER_00: Speed is being solved.
- 3:12SPEAKER_00: Direction is not.
- 3:13SPEAKER_00: And direction is a human job,
- 3:15SPEAKER_00: which means the organization that wins with AI won't be the one with the best tools.
- 3:22SPEAKER_00: They'll be the ones whose people actually came with them.
- 3:29SPEAKER_00: So why doesn't the standard playbook work?
- 3:33SPEAKER_00: Here's what most organizations provide licenses,
- 3:37SPEAKER_00: training sessions,
- 3:38SPEAKER_00: a policy document, adoption targets, all necessary and none of it sufficient.
- 3:46SPEAKER_00: Because here's what people actually need.
- 3:48SPEAKER_00: And notice these are not technical requirements.
- 3:51SPEAKER_00: Clarity on what AI means for their role.
- 3:55SPEAKER_00: Certainty about what's permitted.
- 3:58SPEAKER_00: Evidence that leaders see the human impact.
- 4:02SPEAKER_00: And trust that this is being done with them, not to them.
- 4:06SPEAKER_00: The gap between those two columns is where adoption quietly fails.
- 4:11SPEAKER_00: You can close it with another training session because it isn't a knowledge gap.
- 4:17SPEAKER_00: It's actually a trust gap.
- 4:22SPEAKER_00: I want to be really clear about something because it changes how you read everything
- 4:28SPEAKER_00: that follows.
- 4:29SPEAKER_00: Your people are not failing.
- 4:30SPEAKER_00: They're navigating a new era using systems,
- 4:34SPEAKER_00: habits, assumptions, career models that were built for the old one.
- 4:38SPEAKER_00: And underneath almost every adoption problem I've seen, there are three unanswered questions.
- 4:45SPEAKER_00: What does it mean for my role?
- 4:47SPEAKER_00: Uncertainty about the future reads as a threat and the nervous system responds accordingly.
- 4:54SPEAKER_00: That's not weakness, that's biology.
- 4:57SPEAKER_00: What am I actually allowed to do?
- 5:00SPEAKER_00: Where the rules are unclear, people either freeze or improvise without guardrails.
- 5:05SPEAKER_00: Both are problems.
- 5:08SPEAKER_00: Do my leaders see the human impact?
- 5:11SPEAKER_00: If people believe the answer is no, trust erodes quietly and adoption goes with it.
- 5:17SPEAKER_00: Hold those three questions.
- 5:18SPEAKER_00: They're about to become the warning signs.
- 5:28SPEAKER_00: Part two.
- 5:29SPEAKER_00: Five warning signs that your people may be getting left behind.
- 5:33SPEAKER_00: And none of these show up in a dashboard.
- 5:36SPEAKER_00: All of them may show up in the X interview.
- 5:40SPEAKER_00: As we go through, score your own organization quietly, honestly, out of five.
- 5:47SPEAKER_00: So warning sign one, number one, compliance without adoption.
- 5:54SPEAKER_00: So usage looks healthy in week one,
- 5:57SPEAKER_00: everyone logs in, everyone completes the training, then it quietly flatlines.
- 6:02SPEAKER_00: People demonstrate the tool when they're watched, then revert the moment no one is.
- 6:09SPEAKER_00: So the rollout succeeds on paper only.
- 6:14SPEAKER_00: The tell, your usage data peaks at launch and never recovers.
- 6:19SPEAKER_00: If your adoption metrics all point at the launch week,
- 6:22SPEAKER_00: you're measuring the announcement, not the adoption.
- 6:27SPEAKER_00: Warning slide two, silence in the room.
- 6:30SPEAKER_00: You run the town hall, you present the AI strategy, you ask for questions and get none.
- 6:37SPEAKER_00: It's tempting to read that as alignment.
- 6:39SPEAKER_00: It almost never is.
- 6:41SPEAKER_00: Silence usually means one of two things.
- 6:43SPEAKER_00: People don't know what's permitted, so they don't know what's safe to ask.
- 6:47SPEAKER_00: Or, and this is the one leaders underestimate,
- 6:50SPEAKER_00: they're afraid that asking a question makes them look more replaceable.
- 6:55SPEAKER_00: So the tell here is the questions you get do come privately afterwards, one-to-one.
- 7:01SPEAKER_00: When the real conversation happens in the corridor, the meeting isn't working.
- 7:08SPEAKER_00: Warning sign three, shadow use or no use.
- 7:15SPEAKER_00: Two opposite behaviors and I see them in the same organization.
- 7:18SPEAKER_00: Some people are using AI unofficially,
- 7:21SPEAKER_00: personal accounts, no guardrails, potentially company data going who knows where.
- 7:28SPEAKER_00: Others avoid entirely waiting for permission that never explicitly arrives.
- 7:33SPEAKER_00: Opposite behaviours, same root cause.
- 7:36SPEAKER_00: Nobody has made the rules of the game clear.
- 7:38SPEAKER_00: And the tell, your policy exists and nobody in the room can tell you what it says.
- 7:45SPEAKER_00: A policy nobody can recite is a document, not a boundary.
- 7:51SPEAKER_00: Number four, and this is the expensive one, your best people are going quiet.
- 7:55SPEAKER_00: Capable people rarely resist loudly.
- 7:58SPEAKER_00: They keep showing up,
- 7:59SPEAKER_00: they keep delivering,
- 8:00SPEAKER_00: performance holds steady and underneath they're quietly concluding
- 8:03SPEAKER_00: that this change isn't being done with them and quietly deciding what that means
- 8:08SPEAKER_00: for their future.
- 8:10SPEAKER_00: Then one day they hand in their notice
- 8:13SPEAKER_00: and everyone's surprised except they shouldn't be because the signal was there
- 8:16SPEAKER_00: for months.
- 8:17SPEAKER_00: It just wasn't loud.
- 8:19SPEAKER_00: The tell.
- 8:21SPEAKER_00: Performance holds steady while discretionary effort disappears.
- 8:26SPEAKER_00: The extra ideas stop.
- 8:28SPEAKER_00: The sort of volunteering to offer help stops.
- 8:30SPEAKER_00: The delivery continues right up till the resignation letter.
- 8:39SPEAKER_00: And number five, change fatigue dressed up as a resistance.
- 8:44SPEAKER_00: As resistance.
- 8:44SPEAKER_00: For many of your people, AI isn't the first transformation, it's the fifth.
- 8:49SPEAKER_00: There's too many demands, too little recovery.
- 8:52SPEAKER_00: Their nervous systems are stuck in constant activation.
- 8:55SPEAKER_00: What looks like stubbornness about AI is often exhaustion from everything that came before it.
- 9:02SPEAKER_00: The tell, its resistance, it's not specific to AI.
- 9:07SPEAKER_00: It just meets every new initiative the same way.
- 9:10SPEAKER_00: If that's what you're seeing,
- 9:11SPEAKER_00: you don't have an AI problem, you have a capacity problem, and no tool fixes that.
- 9:20SPEAKER_00: So how did you score?
- 9:22SPEAKER_00: If you recognize two or more,
- 9:27SPEAKER_00: part four is for you, but first, let's decode what resistance actually means.
- 9:37SPEAKER_00: Part three, here's the reframe that changes how leaders handle this.
- 9:41SPEAKER_00: Resistance is information.
- 9:42SPEAKER_00: The behavior is the symptom.
- 9:44SPEAKER_00: The unanswered question is the cause.
- 9:48SPEAKER_00: So they won't engage with the tools is usually nobody has answered what this means for my role.
- 9:58SPEAKER_00: They've stopped raising concerns.
- 10:01SPEAKER_00: That's a dangerous one is usually I've concluded that raising them changes nothing.
- 10:07SPEAKER_00: And when you treat resistance as an attitude problem, you manage it.
- 10:12SPEAKER_00: When you treat it as information,
- 10:14SPEAKER_00: you can actually resolve it because now you're answering the real question instead
- 10:19SPEAKER_00: of pushing the same message harder.
- 10:26SPEAKER_00: And the stakes, briefly, because this is why it belongs on the leadership agenda, not just HRs.
- 10:32SPEAKER_00: Left unaddressed, these signs become four expensive problems.
- 10:36SPEAKER_00: Poor adoption, the investment never converts.
- 10:40SPEAKER_00: Loss of trust and every future change programs start from further behind.
- 10:46SPEAKER_00: Change fatigue, your capacity for the next transformation quietly shrinks and quietly exits.
- 10:52SPEAKER_00: Your most valuable people leave and take the knowledge with them.
- 10:57SPEAKER_00: None of these appear on the AI budget line and all of them come out of it eventually.
- 11:06SPEAKER_00: So part four, this is the constructive path.
- 11:09SPEAKER_00: Five conditions.
- 11:10SPEAKER_00: This is where I'd spend your energy.
- 11:13SPEAKER_00: Clarity before capability.
- 11:16SPEAKER_00: Before anyone's asked to adopt anything, they need to know three things.
- 11:20SPEAKER_00: What's changing, what's not, and what's permitted.
- 11:23SPEAKER_00: Most organizations lead with a tool.
- 11:25SPEAKER_00: Lead with the clarity.
- 11:28SPEAKER_00: Trust as infrastructure.
- 11:30SPEAKER_00: Humans in the loop.
- 11:31SPEAKER_00: Transparency about where I is being used.
- 11:33SPEAKER_00: Honesty about its limits.
- 11:36SPEAKER_00: I hold a strong view here.
- 11:38SPEAKER_00: Trust is earned by the builder.
- 11:39SPEAKER_00: It's not owed by the people.
- 11:42SPEAKER_00: If you want your people to trust AI, show them the ways you've made it trustworthy.
- 11:47SPEAKER_00: Direction over speed.
- 11:49SPEAKER_00: AI makes everyone faster, your competitors included.
- 11:53SPEAKER_00: Speed is being solved.
- 11:54SPEAKER_00: The advantage goes to organizations that know what actually matters and where
- 11:59SPEAKER_00: the technology should point.
- 12:01SPEAKER_00: That's a leadership question and no vendor answers it for you.
- 12:07SPEAKER_00: Protect what stays human, connection, creativity, curiosity, compassion, judgment.
- 12:14SPEAKER_00: Notice what those are.
- 12:15SPEAKER_00: They're not features of a productivity system.
- 12:18SPEAKER_00: In your organization, they're the differentiator.
- 12:21SPEAKER_00: Decide explicitly what stays human and say so out loud because that answer is also
- 12:26SPEAKER_00: the answer to what does this mean for my role?
- 12:30SPEAKER_00: And leaders go first.
- 12:31SPEAKER_00: Visible, honest use at the top.
- 12:34SPEAKER_00: And model questioning the tools, not just deploying them.
- 12:37SPEAKER_00: I'll give you a personal example.
- 12:39SPEAKER_00: I have a standing instruction in my own AI.
- 12:42SPEAKER_00: Question me at all times.
- 12:44SPEAKER_00: Don't agree with everything I say.
- 12:45SPEAKER_00: That one prompt changed my relationship with the technology from something
- 12:49SPEAKER_00: that flatters me to something that sharpens me.
- 12:52SPEAKER_00: And when leaders model that kind of discernment,
- 12:54SPEAKER_00: they give everyone else permission to use AI thoughtfully rather than fearfully.
- 13:03SPEAKER_00: Part five, three questions to take into your next leadership meeting and screenshot this slide.
- 13:12SPEAKER_00: One, do our people actually know what they're allowed and encouraged to do with AI?
- 13:17SPEAKER_00: Not does a policy exist, do they know?
- 13:21SPEAKER_00: Two, if our best people were quietly disengaging, how would we know?
- 13:26SPEAKER_00: What's our early signal other than the resignation letter?
- 13:30SPEAKER_00: Three, what must stay human here and how are we protecting it?
- 13:34SPEAKER_00: And here's the meta point.
- 13:36SPEAKER_00: If any of these questions produce silence in the room, that silence is your answer.
- 13:41SPEAKER_00: It's a warning sign, warning sign number two, live at your own leadership table.
- 13:50SPEAKER_00: So where we've been,
- 13:54SPEAKER_00: Tools and training are necessary, but the human condition decides adoption.
- 14:01SPEAKER_00: Five warning signs to watch out before they come expensive.
- 14:05SPEAKER_00: Resistance is information.
- 14:07SPEAKER_00: Read the question underneath the behavior.
- 14:10SPEAKER_00: Five conditions that make adoption responsible and human centered.
- 14:15SPEAKER_00: And three questions for your leadership team this week.
- 14:22SPEAKER_00: And one last thing before your questions,
- 14:28SPEAKER_00: if you want to drop them into the chat,
- 14:30SPEAKER_00: like I said, or message me privately, I will be responding to everyone's emails.
- 14:37SPEAKER_00: If you recognized your organization in those warning signs,
- 14:42SPEAKER_00: the last three questions are your starting point,
- 14:45SPEAKER_00: but they'll surface things that deserve a proper look.
- 14:48SPEAKER_00: That's the work I do with leadership teams.
- 14:51SPEAKER_00: A full organizational diagnostic,
- 14:54SPEAKER_00: a tailored adoption plan, and a responsible AI blueprint for your organization.
- 15:00SPEAKER_00: The simplest way to start that conversation when the recording email lands, reply to it.
- 15:06SPEAKER_00: Tell me which warning sign you recognized,
- 15:08SPEAKER_00: I read every reply, and I'll tell you honestly whether a session would help.
- 15:14SPEAKER_00: That's it, just one email.
- 15:19SPEAKER_00: Yeah, just put your questions in the chat.
- 15:24SPEAKER_00: And I just want to thank you
- 15:31SPEAKER_00: for your time today, genuinely.
- 15:33SPEAKER_00: The recording, the links, and the three questions will be in your email.
- 15:36SPEAKER_00: Whatever stage of adoption you are at, bring your people with you.
- 15:41SPEAKER_00: It's slower at the start and faster everywhere after.
- 15:46SPEAKER_00: And have a lovely weekend, everyone.
- 15:50SPEAKER_00: Thank you.