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In this deeply human and thought-provoking episode of the m365.fm podcast, Mirko Peters sits down with workplace transformation expert Janet Robb to discuss one of the biggest hidden challenges of the AI revolution: anxiety. While most conversations around AI focus on productivity, automation, Copilot, prompts, and innovation, this episode focuses on the emotional reality many employees and IT professionals are silently experiencing every single day. Together, Mirko and Janet explore AI overload, workplace culture, digital stress, fear of being left behind, communication gaps, social pressure, learning fatigue, and the emotional side of modern digital transformation. This episode is not about hype — it is about people.

THE HUMAN SIDE OF AI ADOPTION

One of the strongest themes throughout the conversation is the fact that organizations often focus heavily on technology while forgetting the emotional impact AI is having on employees. Janet explains how many people currently feel overwhelmed by:

  • Constant AI announcements
  • Endless new tools
  • Rapid platform changes
  • Information overload
  • New terminology
  • Pressure to “keep up”
  • Fear of becoming irrelevant
The discussion highlights how AI adoption is not only a technical transformation but also a psychological one. Janet repeatedly emphasizes that many employees are quietly carrying stress, fear, shame, uncertainty, and guilt while pretending they understand everything happening around them.

THE PROBLEM WITH AI TERMINOLOGY

One of the most fascinating parts of the episode focuses on language itself. Janet explains how AI has introduced an explosion of new terms, acronyms, buzzwords, and phrases that many people simply do not understand. Instead of creating inclusion, organizations often unintentionally exclude employees by assuming everyone already knows what terms like:
  • Agents
  • Prompt engineering
  • Foundation models
  • MLOps
  • RAG
  • LLMs
  • Vector databases
  • Copilot orchestration
actually mean. The conversation highlights how dangerous assumptions can become in digital transformation projects. Janet shares how her own experience with dyslexia taught her the importance of asking questions without shame and why organizations need to create safe environments where employees feel comfortable saying:
“I don’t understand.”

WHY WORKPLACE CULTURE MATTERS MORE THAN TECHNOLOGY

A major topic throughout the episode is the relationship between AI tools and workplace culture. Janet explains that technology itself is not necessarily the biggest problem. Instead, many organizations fail because the culture around technology adoption is unhealthy. The episode explores:
  • Fear-based cultures
  • Pressure to perform
  • AI guilt
  • Unrealistic expectations
  • Productivity anxiety
  • Lack of psychological safety
  • Fear of asking questions
  • Shame around learning
One particularly powerful moment comes when Janet discusses the emotional guilt many employees feel after using AI tools to complete tasks dramatically faster than before. If a task that previously required three hours now takes five minutes with Copilot or ChatGPT, many workers start asking themselves:
“Did I really work today?” The conversation highlights how organizations urgently need new ways to measure value, contribution, and productivity in the AI era.

INFORMATION OVERLOAD & “AI SLOP”

Mirko and Janet also dive into the growing problem of AI-generated low-quality content, often referred to online as “AI slop.” The discussion covers:
  • Endless AI-generated LinkedIn posts
  • Low-quality YouTube tutorials
  • Fake expertise
  • AI-generated spam
  • Content fatigue
  • Digital noise
  • Trust problems
  • Information overload
Janet explains how people increasingly struggle to identify authentic expertise online because AI allows individuals to create polished-looking content without truly understanding the underlying subject matter. However, she also shares an optimistic perspective:
Eventually, real expertise rises to the surface. The episode emphasizes the importance of critical thinking, validation, and slowing down before blindly trusting AI-generated content.

YOU HAVE NOT MISSED THE BUS

One of the most powerful and emotional messages from the episode is Janet’s reassurance to overwhelmed listeners. Throughout the conversation, Janet reminds people:
  • You are not behind
  • You are not failing
  • You do not need to know everything immediately
  • You are allowed to learn slowly
  • Small progress still matters
She explains how modern AI culture often creates the illusion that everybody else is moving faster, learning faster, and succeeding faster. But according to Janet, much of that confidence is exaggerated, performative, or incomplete. Her message is simple:
“Where you are right now is okay.”

WHY SOFT SKILLS ARE BECOMING MORE IMPORTANT

Another major discussion focuses on the future of work and the changing value of technical versus human skills. Janet explains that while AI will automate many technical workflows, human-centered skills are becoming even more valuable:
  • Communication
  • Empathy
  • Listening
  • Teaching
  • Translation between business and technical teams
  • Emotional intelligence
  • Collaboration
  • Adaptability
She argues that many highly technical professionals who spent years working in isolated technical roles may now need to strengthen communication and interpersonal skills to succeed in AI-driven organizations. The episode makes a strong case that AI will not replace human connection — it may actually increase the importance of it.

THE IMPORTANCE OF SAFE LEARNING ENVIRONMENTS

One of the biggest takeaways from this episode is the importance of psychological safety during digital transformation. Janet explains that organizations must:
  • Encourage questions
  • Normalize uncertainty
  • Support slower learners
  • Remove shame
  • Create safe experimentation spaces
  • Reward curiosity
  • Reduce fear-driven leadership
Without these cultural foundations, AI transformation can quickly create burnout, stress, and disengagement. The conversation repeatedly reinforces the idea that successful AI adoption is not j

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blocks. I just feel that that's not inspiring to me because it's too too difficult. If we

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started a level that we set goals like appropriate levels, then I pay attention. Sometimes my level

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might, do you know what I do every day? I make my bed. I make every single day in a really

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nice way and plough up the pillows because sometimes that's all I feel like succeeded in. My

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way, at least when I go to bed, I made that bed and I've done something and I moved the

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dial. Sometimes the dial is as small as making your bed and we need to allow people to do

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that. Awesome. I think a little bit about their, yeah, hungry faces that have, I think, nearly

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three million models and events so on. And how can we, yeah, this information over now,

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how can we prevent people or employees from this? Really, really, really, really amazing

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question. And the reason why I love it so much is you've acknowledged it. The elephant

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in the room is in the last two years, we have created more new words than I have ever

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experienced in my 50 years on this one. And again, I keep talking about my dyslexia. I

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have never talked so much about it in the cause of AI, but with my dyslexia, a lot of the time

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I couldn't read words or if they were really big or I haven't been familiar with them, I

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struggled with them. So I am absolutely okay with saying, what does that mean? Because that

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has been how I've had to grow up. I've had to be brave and say, I don't understand

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what that word means. Can you help me? I've a wonderful friend, Marianne, and she always goes,

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she never bouts my leg. She just explains the word or reads the word for me. But that, there's

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not everybody's in that position. There are words like nano banana, flipsy, tui, tuo,

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tada, do, and because we get into the freezing of using these words, we bring people in

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and we are excluding people by not, and again, it's the key word of assuming. Just because I

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know that word, I have to stop assuming that everybody else knows that word. So again, a

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culture of asking and freezing for asking is going to have to come into the organizations.

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Too many new words, too many new phrases, and I say this all the time, I was in coffee with

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a lovely friend this morning, I said this as well. Everybody is sitting too intrus higher

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on their seat because they're clenching their back sides because they don't understand

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conversations because new words are in the place. We need to relax our bums and say, I'm

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sorry, I don't understand, but we need to have that in a safe environment. And so two things

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there, safe environments are being able to ask and second of all, being aware that you're

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being a bit of a prat if you continue to use words that out of your circle, people don't

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understand. So think of yourself as a bit of an idiot if you don't help people come along

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in the journey.

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Awesome, I think a little bit about how we can we can have such a road. When we are, how

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much dress comes really from the technology, for us I say, yeah, I call it workplace culture.

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Oh my, you asked the best questions. Well done you. Okay, I don't know the percentage, but

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I would say both are very, very important to understand. The product itself is a tool.

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And I have a friend that calls the shop on channel point and click. If you know where to point,

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you know where to click, the problem is they keep changing it and then next day you don't

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know where to point or click. So understanding the tool is different compared to what the

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culture of the organization is. So the reason why culture and the freedom to allow this

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culture to change is so important. I'm going to give you a question that I want everybody

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think about and I use LinkedIn and awful lot is my main social channel in LinkedIn. I

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don't know if you've noticed, but there's a lot of rocket chips about there's a lot of

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posts that are not the length of your arm. Straight away, our subconscious have worked out that

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that is done by AI. And our subconscious has decided that doesn't have the same value

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as if they wrote it themselves. Now, my argument back is really because if that person used

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AI correctly and used to correct prompting and did the correct validation and the correct

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reformatting, there's smarts in that and there's smarts in the understanding of what you

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you pitched. And the other hand, so there's a lot of D value and that the D value is a cultural

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thing. How do we make sure people value AI? The next question I've got is guilt. Do people,

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there's a lot of people walking around feeling guilty that they haven't done a day's work

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because clawed or copilot or co-work did something in five minutes that normally took you three

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hours? How do you remove that guilt? Because all of these emotions affect us. I talk about

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the day that I went running the park and I thought I'd dementia because I had so many, we

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have about 50 to 60,000 thoughts a day. And now with AI, I'm sure to heck, I have 60,000

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extra ones. And on top of that, I also have a lot of shame, embarrassment, fear, anxiety,

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lots of courtesan-reusing emotions that if they're not addressed in a culture that is

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safe, a culture that is discussing it, helping people on that journey to remove that guilt

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in that fear, then everybody's going to be walking around with a sick line in a couple of

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years time with a mental health problem. And so the tool is a tool, understanding the new skill

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sets, like prompting, finding the documents, saving the, oh my goodness, the amount of documents

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we're getting and we don't know what to do with them or print them or let them wind up versions

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that we're getting. There's a lot of that needs to be trained and looped in. But the culture

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side, this is the most important revelation since the industrial revelation over 100 years

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ago. Our brains are key of men and key of women. We need help. We need guidance. We need

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sometimes, just, I went to bed yesterday at six o'clock. I want you to know what my head

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can take anymore. And I'm going to have a quick par snooze, by the way, that par snooze

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lasted two and a half hours and then I couldn't sleep at night. But I'm beginning to go,

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my head hurts. I need a lie.

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You have say a link in or other, I call it channels. We have this, I call it a I slop problem.

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I think how, how can be prevent for this? I see all these people now will have this wonderful

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lies flying in their private jets and all these other generated really bad generated slop

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on channels. And I see it also in teams, people sent this bad YouTube video. So how we can

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fight or prevent our self for these sloppy content.

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The only people in the whole world we can control is ourselves. We can try and educate, but

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at the end of the day, we're responsible only for ourselves. I think eventually people

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are beginning to know when something somebody doesn't have the smarts to Mac, sorry, back

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up what they're saying or showing you that eventually does float to the top. And that's

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going to take time. But eventually, they're just lovely saying truth will light. If you don't

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have the smarts to back it up to be able to do whatever you've created and talk about it

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in a way and educate in a way, it will come to the top. The issue I have with what you

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said is how do you stop the fear of feeling that you're being left behind because everybody

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else seems to be moving forward and you maybe art. That's the bit that worries me when I see

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people on like YouTube and doing all of these things. And yes, they're doing them badly.

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And sometimes I watch a YouTube video thinking I'm going to learn and I thought, but I know

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more than that. And I still think I needed to learn. And yet you've made a YouTube video.

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Wow. Some AI is giving people a lot of confidence. There used to be a saying when I was younger,

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but her, her, her body is posting checks. They can't cash. In other words, they thought they

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were something and they really weren't. That's what AI is doing to a lot of people. And I think

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over time, people will begin people are smart and people will realize where the intelligence

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really is. Unfortunately, at the minute is well hidden. So you can only judge yourself. And

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I really, really want people to hear this bit if that's okay. Where you are right now is fine.

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You haven't missed the bus. You're safe and you're okay. If you think everybody's million

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miles ahead of you, I've crushed you. They're either bluffing or they've just learned one

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thing that you know more than them is okay to be where you are at the moment. And all you

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have to do to move the dial some days is make your bed. Some days you need to maybe do a little

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bit of learning. Some days you need to be honest and say, I don't know what this word means.

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Can you help me? If we make it okay for people to be honest, I think we're going to get

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on much better. I think a little bit about, yeah, how can I call it? We have this, now, I

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have to do it right. Yeah, we have these, these, I look at LinkedIn graph, we can see all

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these jobs and it starts. People have learned years coding or years, years on this and now all

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these skills are dying in the job offers. They write, yeah, you must use AI. I think this

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fierce people and I think have we also, when we look at jobs that, yeah, that we know

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you must have it, especially in tech more self skills now to, yeah, live in the AI area.

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It's a very valid question. So I'm going to start with the fear factor of people that

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have spent 20, 20 to 30 years in the industry and have done coding their way. We have seen,

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so like I started with green screens, I started with tip decks, change does happen. It's the

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accelerated level of this change that is scaring people. Your ability to understand how

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something works or something was put together is so valuable. It is so, so, so valuable because

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you're going to be the person that's going to really understand what's going on behind

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that under the hood. However, there is a, however, there are now, I'm going to be tools

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that are going to accelerate what you did in light speed. And if you learn those tools

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and adapt to that, then yes, I do think you're going to be left behind. But if you realize

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your skills that you have already are still needed and still understood is brilliant.

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The other thing I'm going to have to stress is when I started a night, I started as a

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coder. I, I, how many times have I said I'm dyslexic? You should have let me any renear coding.

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If you'd one spelling mistake in those days, nothing meant three, I was terrible. But I'll

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tell you what I did have. I have really, really strong communication essential skills.

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So I know this is going to make some people feel uncomfortable. We're going to have to learn

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to communicate. You're going to ask, have to ask, what am I doing wrong? How do I make

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sure that I'm friendlier, amenable, approachable, that I articulate in a language that doesn't

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sign like jargon? Yes, you don't just have to learn the new tools. You're going to have

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to learn how to communicate with people like me. And I used to be the middle person because

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I used to understand both languages, which was really great. I used to be put in the middle

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to interpret for these people. And I everybody's going to have to, I'm sorry, at 50, at 60,

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if you've been locked in a room, there are, last 30 years in a dark room coding, you're

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going to have to come out. So you're going to have to use learn new skills. In the industrial

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revolution, people had to learn new skills. And we just have to suck it up. We can suck

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it up together with a lot of love and compassion from your culture, the organization culture,

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because you don't want to lose that person. As also, they have a lot of back knowledge that

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you need. Okay, you worked, I see in your profile, you wrote six years from my, nearly six

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years from Microsoft. And now we say, okay, Microsoft comes back to you and say, hey, Janet,

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develop us a tool. You get unlimited money, unlimited resources. How could a product

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looks that helps to prevent all these, yeah, I, I, I, I, I, see stuff? How would you build

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it? Right. Okay. Good question. First of all, I hope they're listening and they want

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to give me all the money in the world. I've done nearly a, I think the, my last stent

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with Microsoft was six years, I think I think don't done over 10 or 12. I don't, I don't

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remember. But so I wore a few Microsoft tasks. But this is what the tool they need to make.

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When we talk about adoption and enablement, again, I go back to the, the, the, the, the

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person word of assumption, there is an assumption that people know how to do that. So I would

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create a tool. I would create a protocol. I would create a protocol that created really

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clear step points. Oh, I've already doing that step points with barriers to resistance

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at each point. I would have check off sign off. I would take it slower. I would start at

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the beginning and not in the middle. I would educate people about the curse of knowledge.

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I would educate people about the understanding that each impacted group feels differently.

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I would define each impacted group. I would have my influencers defined in there. I would

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have a budget assigned to it. I would have rules and, you know what I would have? I would

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have the, the CEOs, the CEOs bonus, knit to the culture feeling in that company. That's

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why I would put more emphasis from the top time in making Janet and reception, Janet

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encoding, Janet in whatever role that I feel that I am valued still. I have a place and

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I should use the AI and I have a set of steps because you can't make a system touch a

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person. It has to be the person deciding that they want to step involved. So if Microsoft

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wanted me to do that, I would be very, very happy. Thank you very much.

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What will you say coffee tea, energy drink, water, during digital transformation? What is

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the best drink from your personal test? What do I drink? I'm terrible. I'm going

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to die at 53 because I spend my life drinking Cooke Zero. I literally have my hard right

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life. Everybody talks about, oh, I need to get a coffee. I need to get a coffee because

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I think that's what I'm meant to do. But no, I love a, I don't drink enough water. I'm a

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bad person. I drink, and you know what's even nicer? Cooke Zero from the fridge for breakfast.

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I think we are running out of time. So I thank you for this was really, I really enjoyed

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the lot of fun and I learned a lot. Yeah. So, yeah, the people find all your data in the show notes.

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And yeah, what's the one thing you say people should take away from this session today?

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The one thing I want people to take away from this session is it's okay to be where you are right

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now. It's okay to have the feelings and you haven't missed the bus and just do one thing each day

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that helps you move the dial because people are overwhelmed and I think they need a bit of love.

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Also, yeah, then thank you for your time. That was, I really enjoyed. Thank you so much. Bye.

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Bye-bye.