AI Won’t Replace Creative Leaders. It Will Expose the Ones Standing Still

AI has moved past the trial stage. McKinsey’s 2025 global survey found that 78% of organizations now use AI in at least one business function, while 71% regularly use generative AI in at least one function. That shift has raised the stakes for leaders trying to turn interest into usable advantage without losing judgment, originality or trust.

The pressure is only growing. The World Economic Forum says 86% of employers expect AI and information processing technologies to transform their business by 2030, with AI and big data topping the list of fastest-growing skills. In that climate, businesses do not just need tools. They need clear thinking on creativity, adoption and what human value still looks like when intelligent systems are everywhere.

That is where James Taylor has made his name. For more than two decades, he has advised CEOs, governments and entrepreneurs on innovation, creative thinking and change, and has spoken for organizations including McDonald’s and Apple. As an artificial intelligence expert, he focuses on how businesses can use AI to unlock creativity, improve productivity and adapt to disruptive change without defaulting to automation for its own sake.

In this exclusive interview with the London Keynote Speakers Agency, James Taylor explains how organizations can adopt AI without losing the human element, where these tools can genuinely strengthen creative work, and which ethical questions leaders need to answer before AI becomes embedded at scale.

Question 1. How can organizations adopt AI in a way that strengthens productivity without losing the human element?

James Taylor: “So, it's first of all recognizing that AI is really about augmentation, not automation. We're really looking to augment those people in our organizations, take their work to next level. You know, there's that expression that an AI may not take your job, but an AI collaborating with a human may take your job. So, we need to look at that, using it as an augmentation tool.

“One of the first things we want to look at is, in any role in an organization, you can basically split it into three categories. What are those tasks that that individual has to currently perform that, frankly, they're not very good at and they probably shouldn't be doing anyway? That's the first lot of things you would look to use AI for, to get rid of some of those tasks. Often, that's the bureaucratic, mundane things.

“Then there's a middle category where these are the things which the person can do, but perhaps it's not the best and highest use of their time, so that's a second list you would normally do. And then there's this third list, which is often the most difficult one, which is the things your person on your team is probably very good at doing, but by doing that thing, it's holding them back from increasing their productivity and doing more creative work and many other things in the organization. And that's a hard one because we're coming up with harder choices now as well.

“And what they believe is that when we start to make those choices, look at those three different lists, that will increase human productivity by about 25 to 35% by the year 2035. So, we're going to see huge productivity gains. It first of all just starts by listing all those different tasks you currently do in your role and then going for the low-hanging fruit first and then gradually going onwards.”

Question 2. Where can businesses use AI most effectively to support and expand creative work rather than replace it?

James Taylor: “So, when we think about creativity, I talk about this creative process. We have these five steps or stages in the creative process, and you can use AI at different stages of this. So, the first stage is what we call that research stage where you're doing your research as much as possible.

“So, for example, me, I'm a keynote speaker and so I'm using AI all the time to research the industries and the clients that I'm working with as well. I even use AI to analyze the audience I'm going to be speaking to in advance to understand their psychometrics, understand what's important to them.

“Are they more data-focused? Are they like big heart stories? Now, the AI doesn't write my speech for me, but it hopefully makes me a better presenter of my ideas. So, that research stage is grateful for.

“And then we come to the next stage where we come to what we call the incubation stage, where we just need to put things to the back of our mind for a bit. My advice is get away from your desk. Get away from your usual work environment. This is when you want to get out in nature. Only 16% of your creative ideas are ever going to happen when you're at your desk. So, as amazing as I love using AI and I use AI all the time for different things, actually get out in nature. Get away from that device.

“And then the third is the aha moment, the insights. And we can use AI in lots of different ways. We can essentially use it, what I call a creative pair. So, we can use it to probe and help us ask different kind of questions. And then the fourth stage is the evaluation. Now, this is where AI almost comes into its own because what it can do is it can act like a very different personality type from you and it can help us identify any biases that we have.

“So essentially what it does is it stress-tests our ideas. So, you can say to it, imagine you are these five people. You're the five members of Dragon's Den, for example. Have a look at my business plan and I want you to critique it and analyze it and tell me all the things I'm missing. So, AI can be brilliant for that.

“And then we finally get to the final stage, which is the elaboration stage, which is kind of building out that thing, that minimum viable product, doing the work. Then there's so many ways that we can use AI. And I would say just now agentic AI is one of the most fascinating areas of this because it's like having a whole company of AIs helping you to achieve your creative ideas.”

Question 3. What are the main ethical risks organizations need to address when implementing AI at scale?

James Taylor: “So, there's three really. There is bias, transparency, and accountability. Bias is, good stuff in, good stuff out. Bad stuff in, bad stuff out. So, you have to ask how is this AI being trained? What training data is it used to kind of come at this? Because we can introduce bias into AI systems if we're not careful.

“The second one is transparency. So, it's understanding it's not just a black box. How has it arrived at this decision? So, one of the things with the newer versions of AI like DeepSeek, for example, which is one of the big Chinese AIs, is they don't just give you the answer or an answer, they will give you its workings, how to arrive at that decision. And that's really important because it helps you to understand and maybe poke, ask questions of the AI.

“And the third, that kind of brings me to the third part, which is accountability. I just spoke for an audience of a thousand internal auditors, so these are people like the internal police force in many organizations, looking for fraud and looking for sure things are done properly and according to corporate governance.

“So here they're going to be asking questions to you if you're using AI, like how did that arrive at that particular decision? What were the process it went through? What was the data, the information it had? So, you need to have a sense of accountability if you're asked either internally in the organization, how was that decision reached upon, or if it's by regulators.

“So many of my clients are in very regulated industries and that could be banking, finance, defense. And accountability means being able to go to your regulators and really show how you have been working with AI, how that decision was arrived upon.”

Question 4. What do you want audiences to leave with after hearing you speak about AI?

James Taylor: “I want audiences to leave that room after they've heard me speak feeling inspired, entertained, educated, and equipped with the tools that they need to have and the mindsets to really take advantage of this new age of AI that we're going into.

“From my perspective, also the person that usually brings me in to speak at their event, I want to make them a rockstar. I want people at an event like the one I was just doing a few days ago coming up to that person that brought me in saying, great job, fantastic, that was the best keynote speaker that you've ever brought in. So, I kind of want to give that sense of accomplishment to the person that's bringing me in.

“And for the people in the room, I want to create a transformation. I want them going into that room maybe thinking one set of things, but when they leave their worldview is maybe slightly different, they've changed, because otherwise all I'd be doing is just being an entertainer and that's not my job.

“My job, sure, I want to entertain and make people laugh and have a great time, but if I've not changed the mindsets of the people in the room for the better so they can be more equipped and they feel this creative potential inside of them and they know how to use some of these tools, then what's it worth?

“So, my job is to create value for that audience and for the person that brings me in, to make them a rockstar for bringing me in to come and speak to their audience.”

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This exclusive interview with James Taylor was conducted by Tabish Ali of the Motivational Speakers Agency.