The Digital Transformation Playbook
Kieran Gilmurray is a globally recognised authority on Artificial Intelligence, intelligent automation, data analytics, agentic AI, leadership development and digital transformation.
He has authored three influential books and hundreds of articles that have shaped industry perspectives on digital transformation, data analytics, intelligent automation, agentic AI, leadership and artificial intelligence.
𝗪𝗵𝗮𝘁 does Kieran do❓
When Kieran is not chairing international conferences, serving as a fractional CTO or Chief AI Officer, he is delivering AI, leadership, and strategy masterclasses to governments and industry leaders.
His team global businesses drive AI, agentic ai, digital transformation, leadership and innovation programs that deliver tangible business results.
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🔹Top 25 Thought Leader Generative AI 2025
🔹Top 25 Thought Leader Companies on Generative AI 2025
🔹Top 50 Global Thought Leaders and Influencers on Agentic AI 2025
🔹Top 100 Thought Leader Agentic AI 2025
🔹Top 100 Thought Leader Legal AI 2025
🔹Team of the Year at the UK IT Industry Awards
🔹Top 50 Global Thought Leaders and Influencers on Generative AI 2024
🔹Top 50 Global Thought Leaders and Influencers on Manufacturing 2024
🔹Best LinkedIn Influencers Artificial Intelligence and Marketing 2024
🔹Seven-time LinkedIn Top Voice.
🔹Top 14 people to follow in data in 2023.
🔹World's Top 200 Business and Technology Innovators.
🔹Top 50 Intelligent Automation Influencers.
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🔹Global Intelligent Automation Award Winner.
🔹Top 20 Data Pros you NEED to follow.
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✉️ kieran@gilmurray.co.uk
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The Digital Transformation Playbook
Why Executive Fear, Not Technology, Holds Back AI Success
Fear rarely announces itself; it hides behind control, certainty, and the urge to delay.
We sit down with expert CPO Brian Parks to unpack why artificial intelligence stalls in boardrooms not because of model limits, but because of leadership habits shaped by pressure, incentives, and ambiguity.
Rather than chasing the newest tool, we explore how fear of failure, public scrutiny, and quarterly cycles push executives to avoid the very experiments that build competence and how that choice quietly taxes performance across the organisation.
TLDR:
- Reframing AI as a leadership and behaviour issue
- Executive fear of failure and loss of control
- Pressure from short time frames and forecasts
- Incentives that favour speed over learning
- The role of AI literacy for leaders and teams
- Creating safe, small, reversible experiments
- Retaining AI fluent talent through clarity and trust
Across this fast-paced conversation, we reframe AI as a human and behavioural challenge. Brian breaks down the real dynamics at the top: shrinking time frames, harder forecasts, and compensation structures that reward visible delivery over exploration.
We dig into practical ways leaders can replace anxiety with clarity, from building shared AI literacy and setting simple guardrails to running small, reversible pilots that deliver measurable wins.
You’ll hear how to structure incentives that value time saved and quality improved, pair domain experts with AI specialists, and normalise transparent learning with blameless reviews and demo rituals.
The talent stakes are high. Your best people are already AI fluent, and if your culture blocks them, they’ll move to teams that welcome their skills. We outline concrete steps to keep them: sponsored learning pathways, clear approved tools, and public recognition for applied outcomes.
By treating AI initiatives like a portfolio of options rather than a single bet, leaders can manage risk, compound insight, and make it safe to change course as evidence emerges.
If you’re ready to turn uncertainty into momentum and lead with confidence, tune in, take notes, and start the next small experiment today.
Subscribe, share with a colleague who needs this, and leave a review to help more leaders find practical, human-centred AI guidance.
Listen in as CPO Brian Parkes explains why AI is often resisted by executives but they should learn to embrace it to reap AI's many rewards.
Are you struggling with AI or do you need fractional executive help implementing AI in your business?
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𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses.
☎️ https://calendly.com/kierangilmurray/results-not-excuses
✉️ kieran@gilmurray.co.uk
🌍 www.KieranGilmurray.com
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📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK
Today, expert CPO Brian Parks and I will try and put some sense and sensibility around AI and describe how AI is less of a technology issue and more of a leadership and a behavioral issue. Well, let's dive in. We'll we'll make no one wait. Uh Brian, why do so many executives respond to AI with fear over control and what it does? What does that cost an actual organization?
SPEAKER_01:You know, I think the main thing I see is, you know, it's a phrase you'll know, imposter syndrome, you know, fear of failure. Um, I think a lot of senior executives uh you know realize that time frames are shorter. Um forecasting is getting harder to do, as we know. Um AI is probably injecting steroids into that perfect storm. Um, you know, it's tough and unforgiving at the top of corporate life, and I think people don't want to fail. Uh, I think that is one human reality. You know, if you think about how these how these ladies and gentlemen are paid, you know, there's a big bias towards action and speed and delivery and quarterly updates to analysts. You know, the hamster wheel is is constant that they're on. Um, but if you go on to the you know the the right side of the brain, you know, the the bit that's not task focused and the bit that's more interested in creativity, uh, emotion, uh, which and fear, which is where it comes in, you know, we we fear things that we don't understand. And I I think um the fear of of messing up is is a definite reason why leaders kind of avoid it or or don't want to be associated with something that they think will will fail. You know, I do say to people that you know if they're not driving AI literacy uh and developing AI literacy in their organizations, their best people who probably are AI literate are probably going to walk and work somewhere else, right? And and like why shouldn't they? Why why shouldn't they work with like minded people who want to use tools to improve you know their their outputs?