Imagine Magazine: Accelerating Innovation Preview

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Issue 11

g n i t a r e l e Acc Innova

tion

04 The Art of Orchestrating AI AI is the orchestra section; your systems are the instruments. Without a conductor, it’s just noise.

Here’s how to create harmony.

24 A Century More of AI As AI hurtles forward, two voices debate a future of creativity, chaos, and adaptation. Will humans keep up—or fall behind?

12 How to Talk to Your Team About AI Anxiety With AI accelerating, teams grapple with fear, identity, and change. Can leaders turn looming disruption into a moment of clarity and trust?

Contents Contributors

Publisher Cegos UK Writers Jonna Sercombe Emily Link Ben Heath Tim Volans Rebecca Woods Simone Sullivan Reuben Fletcher-Louis Blair Wagner Ross Hardy Anite Cangi Lara Mohammad Scarlet Woods Sahanshil Dangol Editors Emily Larson Scarlet Woods Design Daisy Whittle Illustration Daisy Whittle Gaby Bran Sahanshil Dangol

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Copyright Cegos UK © 2026 All rights reserved. No part of this magazine may be reproduced, in whole or in part, without written permission ĦƂŜő΄ƖĮĎ΄ſƞĀʼnijƊĮĎƂ͟΄ÎĮijʼnƊƖ΄ĎƵĎƂƼ΄ĎǖŜƂƖ΄ is made to achieve total accuracy, we cannot be held responsible for any errors or omissions within this magazine.

To work with us please contact: info@cegos.uk or call +44 (0) 2033185753 cegos.uk

A Note from the CEO ƂƖijǙāijåʼn΄ijœƖĎʼnʼnijħĎœāĎ΄ĮåƊ΄őŜƵĎĈ΄ƁƞijāņʼnƼ΄ĦƂŜő΄åœ΄ interesting idea to a real part of how we learn, work, and grow. It’s changing the way organisations support development — not by replacing the human element, but by enhancing it. Ɗ΄ƶĎ΄āŜœƖijœƞĎ΄ĎƻſʼnŜƂijœħ΄ƶĮåƖ΄ N΄ĮåƊ΄ƖŜ΄ŜǖĎƂ͚΄ŜœĎ΄ thing remains clear; technology is at its best when it åőſʼnijǙĎƊ΄ŜƞƂ΄ƊƖƂĎœħƖĮƊ͟΄ N΄őåƼ΄ſƂŜƵijĈĎ΄ƖĮĎ΄ĈåƖå΄ŜƂ΄ the recommendations, but it’s the people who bring curiosity, creativity, and connection — and they’re ƖĮĎ΄ƁƞåʼnijƖijĎƊ΄ƖĮåƖ΄őåņĎ΄ʼnĎåƂœijœħ΄ƖƂƞʼnƼ΄ijőſåāƖĦƞʼn͟ The interesting thing about this edition is that we look beyond common conventions — from sharing a team perspective in A Century More of AI (p.24), to debating the impossible in Can AI Make Us More Human? (p.34). Our aim is to open up the conversation, moving past the usual narratives to shine a light on the practical and the surprising.

As you read on, I hope you feel encouraged to åſſƂŜåāĮ΄ƖĮĎƊĎ΄ƖŜŜʼnƊ΄ƶijƖĮ΄ŜſĎœœĎƊƊ΄åœĈ΄āŜœǙĈĎœāĎ͟΄ ¯ĮĎ΄ĦƞƖƞƂĎ΄ŜĦ΄ʼnĎåƂœijœħ΄ijƊ΄ĎƵŜʼnƵijœħ΄ƁƞijāņʼnƼ͚΄åœĈ΄ƶĎͽƂĎ΄ all part of shaping what comes next.

Enjoy the read,

Jonna Sercombe CEO Cegos UK & US

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Features 04

The Art of Orchestrating AI

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AI is the orchestra section; your systems are ƖĮĎ΄ijœƊƖƂƞőĎœƖƊ͟΄ÎijƖĮŜƞƖ΄å΄āŜœĈƞāƖŜƂ͚΄ijƖͽƊ΄ŃƞƊƖ΄ œŜijƊĎ͟΄IĎƂĎͽƊ΄ĮŜƶ΄ƖŜ΄āƂĎåƖĎ΄ĮåƂőŜœƼ͟ 12

A Century More of AI As AI hurtles forward, two voices debate a future of creativity, chaos, and adaptation.

Will humans keep up — or fall behind?

How to Talk to Your Team about AI Anxiety With AI accelerating, teams grapple with fear, identity, and change. Can leaders turn looming disruption into a moment of clarity and trust?

Articles 06

Fast Work, Fragile Judgement

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08

Font of Knowledge: Creativity Crash Behind the glow of the screen lies a creative tug-of-war: trust, ethics, and the uneasy promise of machine-made inspiration.

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34

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Enhancing Strategic Leadership Development at a Global Asset Management Firm Through AI Inside the AI business simulation that helped å΄ħʼnŜĀåʼn΄åƊƊĎƖ΄őåœåħĎőĎœƖ΄ǙƂőͽƊ΄ʼnĎåĈĎƂƊ΄ strengthen their strategic judgement.

Advice Column: Don't Pull the Plug Just Yet Unclogging the myth of AI replacement with clear insight, human nuance, and light plumbing humour.

From “quiet luxury” to “quiet work,” the prestige ŜĦ΄āŜœƊƖåœƖ΄åƵåijʼnåĀijʼnijƖƼ΄ijƊ΄ĦåĈijœħ͟΄IĎƂĎͽƊ΄ƶĮƼ΄ balance may become the ultimate power move.

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Can AI Make Us More Human? ÎĮåƖ΄ijĦ΄ N΄ijƊœͽƖ΄ƊƖĎåʼnijœħ΄ŜƞƂ΄ĮƞőåœijƖƼ΄åƖ΄åʼnʼn΄ but sharpening it? This article uncovers how machines might boost our softest skills.

¯ĮĎ΄kĎƶ΄*āŜœŜőijāƊ΄ŜĦ΄*ǖŜƂƖ

Case Studies

The L&D Time Machine: From Classroom to Cloud Track the major milestones that shaped workplace learning and discover how a hundred ƼĎåƂƊ΄ŜĦ΄ſƂŜħƂĎƊƊ΄ijƊ΄ĈĎǙœijœħ΄aπ$ͽƊ΄œĎƻƖ΄ĎƂå͟

The AI Resistance Movement AI bands, misinformation spirals, and the public on the verge of revolt — welcome to techlash.

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The Superhuman Trap With every task AI speeds up, another one appears. Is this empowerment? Or a new kind of pressure?

¢åőĎ΄¯ŜŜʼnƊ͚΄$ijǖĎƂĎœƖ΄ ʼnåƼĀŜŜņƊ N΄åĈŜſƖijŜœ΄ijƊœͽƖ΄ŜœĎͲƊijdžĎͲǙƖƊͲåʼnʼn͟΄$ijƊāŜƵĎƂ΄ how generational behaviours shape workplace readiness — and the targeted training that actually moves the needle.

If AI delivers perfect-looking work in seconds, ƶĮŜͽƊ΄ʼnĎĦƖ΄ƖŜ΄ĈĎāijĈĎ΄ƶĮĎƖĮĎƂ΄ijƖͽƊ΄åœƼ΄ħŜŜĈ͠΄ ΄ deep dive into the new judgement crisis.

Interviews 22

Tejal Shah: Learning Lift With deep expertise across AI, talent, and culture, Tejal reveals the behaviours, guardrails, and leadership habits that determine whether AI succeeds at scale.

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iåƂijåœœĎ΄ ƞǗď͙΄NőåħijœåƖijŜœ΄*œħijœĎ At the edge of innovation and imagination, bespoke learning gets rewritten. Marianne ƞǗĎ΄ĎƻſʼnåijœƊ΄ƖĮĎ΄āƂĎåƖijƵĎ΄ſåƖĮƊ΄ƊĮĎ΄ƖåņĎƊ΄ƖŜ΄ navigate an era of change.

The Art of Orchestrating AI Is “AI First” the future of work or just another overhyped slogan? Tim Volans makes the case that the real revolution lies in orchestration — intentionally weaving autonomy, governance, and human-centred design into the fabric of organisational strategy.

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¶œʼnĎƊƊ΄ƼŜƞͽƵĎ΄ĀĎĎœ΄ʼnijƵijœħ΄ijœ΄åœ΄ŜǖͲħƂijĈ΄ commune, nestled in some faraway hills, you will undoubtedly have seen countless headlines extolling the virtues of AI. “AI First” or “AI Native” slogans emblazon websites and collateral, but what does — or what should — this newly coined phraseology mean?

It would seem that it can mean anything from the inclusion of AI chatbots to the use of AI-developed, tested, and deployed code, and almost everything in between.

I’ve always been a bit of an AI sceptic. Until, a number of years ago, I sat in on a prompt engineering course led by a veteran trainer in the IT sector. It all became much clearer when

I examined the origin of my initial scepticism.

My hesitation wasn’t rooted in a dislike of technology, but rather in a fatigue with “solutionism” — the idea that we can simply sprinkle some silicon-based magic dust over a ĀƂŜņĎœ΄ſƂŜāĎƊƊ΄åœĈ΄ĎƻſĎāƖ΄ijƖ΄ƖŜ΄Ǚƻ΄ijƖƊĎʼnĦ͟ In the world of Learning and Development, we see this often. A new platform arrives, everyone buys a licence, and six months later it sits gathering digital dust because nobody ǙħƞƂĎĈ΄ŜƞƖ΄ĮŜƶ΄ijƖ΄åāƖƞåʼnʼnƼ΄ǙƖƊ΄ijœƖŜ΄ƖĮĎ΄ǚŜƶ΄ ŜĦ΄ƶŜƂņ͟΄ N΄ijƊ΄œŜ΄ĈijǖĎƂĎœƖ΄ͮ΄åœĈ΄ƶijƖĮ΄å΄̈̇̌μ΄ increase in AI implementation expected over ƖĮĎ΄œĎƻƖ΄ƖƶŜ΄ƼĎåƂƊ͚΄åʼnŜœħƊijĈĎ΄ĮŜſĎƊ΄ŜĦ΄̈̅μ΄ ħåijœƊ΄ijœ΄ſƂŜĈƞāƖijƵijƖƼ͚΄I ΄ʼnĎåĈĎƂƊ΄œĎĎĈ΄ƖŜ΄ǙƂő΄ up organisational structures. 1

Beyond the Chatbot When we talk about orchestration, we are moving away from the idea of AI as a stand-alone “assistant” and towards AI as a foundational layer of the business ecosystem. If you think of a traditional orchestra, you have various sections: strings, brass, woodwind and percussion. Each is brilliant in its own right, but without a conductor and a score, you simply have a lot of noise.

In a corporate L&D context, your “sections” might include your LMS, your content libraries, your performance data and your communication channels.

Orchestration is the art of making these elements communicate with one another through an AI framework to create a seamless experience for the employee.

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Contextual Insight: ¶œĈĎƂƊƖåœĈijœħ΄ƖĮĎ΄ƊſĎāijǙā΄ nuances of our organisation’s culture so that AI provides relevant, tone-appropriate support.

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Data Integrity & Sovereignty: Ensuring information is accurate and secure. This is increasingly ħĎŜſŜʼnijƖijāåʼnͤ΄ƶijƖĮ΄̌​̌μ΄ŜĦ΄ǙƂőƊ΄ƵĎƖƖijœħ΄ N΄ŜƂijħijœ΄ åœĈ΄̊̍μ΄ſƂijŜƂijƖijƊijœħ΄ʼnŜāåʼn΄ƊƖåāņƊ͚΄aπ$΄őƞƊƖ΄ĀƞijʼnĈ΄ ƖĮĎ΄ƂĎħƞʼnåƖŜƂƼ΄ʼnijƖĎƂåāƼ΄ƂĎƁƞijƂĎĈ΄ƖŜ΄œåƵijħåƖĎ΄ƖĮĎƊĎ΄ ƊŜƵĎƂĎijħœ΄ N΄ĎœƵijƂŜœőĎœƖƊ΄āŜœǙĈĎœƖʼnƼ͟ 2

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Human-Centric Design: Recognising where the line between human and AI should be drawn.

For instance, an “AI First” approach shouldn’t just mean a learner can ask a bot for a course recommendation.

It should mean AI has already analysed the learner’s ƂĎāĎœƖ΄ſƂŜŃĎāƖ΄ĦĎĎĈĀåāņ͚΄ijĈĎœƖijǙĎĈ΄å΄ƊņijʼnʼnƊ΄ħåſ͚΄āƞƂåƖĎĈ΄ a bespoke three-minute microlearning module from internal documentation, and scheduled a practice ƊĎƊƊijŜœ΄ijœ΄ƖĮĎijƂ΄ĈijåƂƼ͟΄¯ĮåƖ΄ijƊ΄ƖĮĎ΄ĈijǖĎƂĎœāĎ΄ĀĎƖƶĎĎœ΄å΄ tool and a strategy.

The Myth of the “Easy Button” There is a pervasive worry that AI orchestration leads to the dehumanisation of the workplace. However, by automating the administrative heavy lifting — the tagging of content, the scheduling, the basic knowledge retrieval — we free up humans to do what they do best: innovate, empathise, and collaborate.

We must, however, be careful not to fall for the ‘easy ĀƞƖƖŜœͽ΄ƖƂåſ͟΄tƂāĮĎƊƖƂåƖijŜœ΄ƂĎƁƞijƂĎƊ΄å΄ƊijħœijǙāåœƖ΄ƞſĦƂŜœƖ΄ investment in thought. You cannot orchestrate what you do not understand. If your underlying learning ƊƖƂåƖĎħƼ΄ijƊ΄ǚåƶĎĈ͚΄ N΄ƶijʼnʼn΄ƊijőſʼnƼ΄ĮĎʼnſ΄ƼŜƞ΄Ħåijʼn΄ĦåƊƖĎƂ΄åœĈ΄ at a larger scale.

Striking the Right Note

The Shift in Capability The prompt engineering course I attended was a revelation because it reframed AI from a “Google on steroids” into a “reasoning engine.” It shifted the burden ŜĦ΄ĎǖŜƂƖ΄ĦƂŜő΄ƖĮĎ΄ĈŜijœħ΄ƖŜ΄ƖĮĎ΄ĈijƂĎāƖijœħ͟ For L&D professionals, this changes our job descriptions. We are no longer just content curators or workshop facilitators; we are becoming architectural ĈĎƊijħœĎƂƊ΄ŜĦ΄ʼnĎåƂœijœħ΄ŃŜƞƂœĎƼƊ͟΄¯Ŝ΄ĈŜ΄ƖĮijƊ΄ĎǖĎāƖijƵĎʼnƼ͚΄ƶĎ΄ œĎĎĈ΄ƖŜ΄őåƊƖĎƂ΄ƖĮƂĎĎ΄ƊſĎāijǙā΄åƂĎåƊ͙ Sources: 1 Salesforce. (2025). HR Leaders to Redeploy a Quarter of Their ÎŜƂņĦŜƂāĎ΄åƊ΄ ħĎœƖijā΄ N΄ ĈŜſƖijŜœ΄*ƻſĎāƖĎĈ΄ƖŜ΄BƂŜƶ΄̈̇̌μ΄ĀƼ΄̇̅̇̌͟΄ͪŜœʼnijœĎͫ΄ Available at: https://www.salesforce.com/uk/news/stories/agentic-aiimpact-on-workforce-research/. 2 State of AI in the Enterprise, The Untapped Edge. (2026). Available at: https://www.deloitte.com/content/dam/ assetszone3/us/en/docs/services/consulting/2026/state-of-ai-2026.pdf.

As we look toward the future, the term “AI Native” will likely fade away simply because it will become the default. We don’t call ourselves “Electricity Native” businesses anymore; we just expect the lights to come Ŝœ΄ƶĮĎœ΄ƶĎ΄ǚijſ΄ƖĮĎ΄ƊƶijƖāĮ͟ The “Art of AI Orchestration” is about preparing for that inevitability. It is about moving past the sceptic-versusevangelist debate and getting down to the practical ƶŜƂņ΄ŜĦ΄ijœƖĎħƂåƖijŜœ͟΄NƖ΄ƂĎƁƞijƂĎƊ΄å΄ĀʼnĎœĈ΄ŜĦ΄ƖĎāĮœijāåʼn΄ curiosity and a deep, empathetic understanding of how people actually learn and grow.

For those of us in senior leadership roles, our task is to lead this transition with a steady hand. We must encourage experimentation while maintaining a focus on tangible outcomes. We aren’t just buying software; we are redesigning the way our people interact with knowledge.

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