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We Create Space is a human capability parter. We work with ai-enabled organisations to identify and close their performance gaps. We don't deliver training, we change how teams operate. You've invested in AI. So why hasn't performance improved? ➜ Take our AI Performance Diagnostic AI is already in place. But something isn't working. ➜ Investment is high ➜ Adoption is inconsistent ➜ Behaviour hasn’t changed ➜ Performance has plateaued ➜ ROI is under-realised That’s the performance gap. And it’s where most of your value is being lost. INTRODUCING The AI Performance Gap Diagnostic A focused diagnostic that identifies: ✔ Where performance is breaking down ✔ What is limiting AI return on investment ✔ What needs to change in practice Full report from £7,500 Delivered in under 2 weeks Stage 1 Assessment is FREE ➜ Take our AI Performance Diagnostic WE CREATE SPACE We create the space organisations need to identify and close performance gaps in AI-enabled environments . We don't deliver training, we change how teams operate. Welcome to CSR THE PROBLEM Building Human Capability for a Complex World. AI is in place but performance isn’t improving . Not because people don’t understand it. But because in real moments, people fall back on familiar ways of working . ✘ Decision-making hasn’t improved ✘ Teams aren’t more aligned ✘ Leadership behaviour is inconsistent ✘ Performance isn’t scaling as expected Which means AI investment isn’t delivering the expected return. ➜ Take our AI Performance Diagnostic WHAT'S GOING WRONG It isn’t a capability problem. It's a human behaviour one. Most organisations have invested in: ✔ Training ✔ Tools ✔ Transformation But in practice: ✘ Leaders struggle to apply learning ✘ Teams lack clarity in complex situations ✘ Behaviour varies across the organisation ✘ Culture change doesn’t stick This is not a knowledge gap. It is a behaviour gap. WHY THIS MATTERS NOW AI has changed how we need to think , decide , and lead . The challenge is no longer access to AI. It’s the ability to: ➜ Apply quality judgement in real time ➜ Communicate effectively under pressure ➜ Lead teams through uncertainty ➜ Translate insight into clear action Because AI doesn’t just replace human behaviour - it exposes the gap in it. HOW THIS SHOWS UP When Behaviour Doesn’t Change, Performance Doesn’t Scale . This shows up as: ➜ Decreased engagement and rising burnout ➜ Gaps in leadership capability and EQ ➜ Transformation efforts stall due to lack of clarity ➜ Low organisational trust and psychological safety ➜ Inconsistent leadership behaviours across teams AI investment stays at potential - not impact. THE COST This gap doesn’t sit still. It compounds . Every delayed decision = lost momentum Every misaligned team = duplicated effort Every underused tool = wasted investment Every inconsistent leader = reduced performance at scale Most organisations are sitting on value they’ve already paid for - but can’t unlock. OUR ROLE We develop the human capability that drives performance. We help organisations strengthen: ✔ Leadership capability ✔ Team dynamics ✔ Behavioural consistency ✔ Organisational culture ✔ Decision-making quality Because AI transformation can’t happen through knowledge alone . It needs to happen through behaviour too. OUR APPROACH We don’t start with solutions. We start with understanding . 1. Understand Identify what’s happening in practice. 2. Embed Strengthen leadership and team behaviour. 3. Scale Build consistency across the organisation. Our Podcast Corporate Solutions Get in touch Team Learning Experiences Leadership Programmes Consultancy & Guidance Annual Membership Resources & Content Courses & E-Learning OUR DIAGNOSTIC Understand where behaviour is limiting performance . We help you identify: ➜ Where behaviour is inconsistent ➜ Where decision-making breaks down ➜ Where leadership signals are unclear ➜ Where culture is limiting performance Before implementing solutions, we create clarity on what is actually happening. ➜ Take our AI Performance Diagnostic OUTCOMES Behaviour change drives measurable results . Our work enables organisations to: ✔ Strengthen leadership capability ✔ Improve decision-making and communication ✔ Build trust and psychological safety ✔ Align behaviours with organisational goals ✔ Increase performance and engagement OUR PHILOSOPHY At the heart of our work is a simple idea: Create Space . When people feel: ✔ safe ✔ supported ✔ connected ✔ empowered ➜ they think more clearly ➜ they act more decisively ➜ they perform more effectively Because behaviour doesn’t change in isolation. It changes in how people think, interact, and work together. WHAT NEXT? Turn Insight Into Action . Let’s understand what’s limiting performance. We’ll help you identify: ✔ where behaviour is breaking down ✔ what’s limiting execution ✔ how to unlock performance ➜ Take our AI Performance Diagnostic OUR SOLUTIONS IN ACTION Client Case Studies. GOOGLE Activating Global Community At Scale → Expansion of global ERG chapters → Increased engagement across LATINA/E/X community - Community-building strategy across events, education, and awareness - Bilingual programming to increase accessibility and reach GARNIER Activating Global Community At Scale → Highest-ever campaign engagement → 60M+ reach achieved - Strategic consultancy to strengthen Pride campaign messaging - Safeguarding frameworks and inclusive communication training DR MARTENS Embedding Inclusion Into Everyday Decision-Making. → Improved cross-functional alignment on global campaigns - Bespoke inclusive marketing toolkit - Interactive training to embed practical understanding across teams Our solutions Our Reports Get in touch How Skill-Based Learning Is Powering AI-Ready Organisations. Most organisations don’t have an AI capability problem. They have leadership, behaviour, and culture problems. LEADERSHIP 15 min read AI Won’t Save Your Company Culture, Upskilling Your People Will. The business case for investing in talent development has never been stronger. REPORTS 6 min read ABOUT US Who are We? We Create Space is a human capability partner helping organisations perform in a complex, AI-enabled world. We create the space organisations need to think clearly, make better decisions, and operate effectively - especially when technology is moving faster than behaviour. We work with AI-enabled organisations to identify and close performance gaps by strengthening leadership, behaviour, and systems. We don’t deliver training . We change how teams operate - so technology investment turns into real-world performance. THE TEAM Our Collective . Our Global Speaker Collective is comprised of 300+ practitioners equipped with intersectional lived experience and professional expertise to upskill your employees. Meet our team Get in touch OUR CLIENTS Already trusted by 200+ global brands.

We Create Space is a human capability parter helping people and organisations perform in a complex, AI-enabled world by transforming how people think, relate and act. Learn. Connect. Grow. Who Are We? We build the leadership and cultures people do their best work in. We Create Space is a human capability partner helping people and organisations perform in a complex, AI-enabled world by transforming how people think, relate and act. We work at the intersection of: IDENTITY & LEADERSHIP How people experience themselves and the world. WELLBEING & INSIGHT The internal capacity to think, decide and act. COMMUNITY & SYSTEMS How people relate, belong, and collaborate. Our Purpose. We create the space people need to navigate the world - within themselves, with others, and inside the systems they are part of. We believe transformation happens when people are given the space to learn, connect, and grow - not in isolation, but in relation to themselves, others, and the world around them. What is 'Creating Space'? ‘Creating Space’ is our practice of collective learning, connection, and growth. It means: - Taking time to develop self-awareness and resilience . - Building stronger communities of support and belonging. - Shaping cultures and systems that allow diverse talent to thrive. - Equipping leaders and organisations to step into their power and responsibility for change. The Creating Space Methodology™ Our signature human-centred framework is used across all our programmes, workshops and community experiences. It brings together four core elements that create the conditions for meaningful learning, stronger relationships and sustainable culture transformation: Awareness Understanding identity, emotions, and values Compassion Leading with empathy and emotional intelligence Connection Building trust and psychological safety Agency Empowering people to create change and fuel growth Our Foundations Inclusion In workplaces that foster inclusion, all employees are able to show up as themselves, do their best work, feel supported and support others in turn. Build Inclusion Leadership True leadership is inclusive, innovative and emotionally intelligent. We empower employees with essential leadership skills and knowledge. Build Leadership Wellbeing Wellbeing is the foundation successful organisations are built upon. When your employees have the tools and support they need to thrive, so does your business. Build Wellbeing WHAT WE'VE ACHIEVED SINCE 2020: 35k+ ONLINE COMMUNITY MEMBERS 1200+ PAID WORK OPPORTUNITIESCREATED 200+ GLOBAL CORPORATE PARTNERS £2m+ INVESTED BACK INTO THE COMMUNITY Read our 2025 Community Impact Report here OUR CLIENTS Already trusted by 200+ global brands. THE TEAM Our Collective . Our Global Speaker Collective is comprised of 300+ practitioners equipped with intersectional lived experience and professional expertise to upskill your employees. Meet our team Get in touch Ready to work with us? ➜ Corporate Solutions

An intersectional LGBTQ+ glossary of terms. Allyship Lexicon AN INTERSECTIONAL GLOSSARY OF TERMS Language can shape environments, and words can be an integral tool for creating culture change and inclusive workplaces. We must all actively and continually educate ourselves as we create a path to progress. A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Our evolving glossary of terms: Last updated on 02/05/2023 AAVE ADHD AFAB / AMAB AIDS Ableism Abolition Abuse Accessibility Accountability Achievement Achillean Activist Addiction Adoption Adversity Advocate Affirmations Affirmative Action Agender Ageism Ally Altruism Ambassador Androgyny Anti-Racism Anti-Semitism Anxiety Appropriation Archetype Aromantic Asexuality Assimilation Asylum Seeker Attraction Authenticity Autism BIPOC Ball Culture Belief Belonging Bias Bigender Binary Binding Biphobia Biracial/Multiracial Bisexual Black Blaq/Blaqueer Bodily Autonomy Bodily Wisdom Body Doubling Body Dysmorphia Body Image Body Neutrality Body Shaming Bottom Surgery Brave Space Breathwork Bullying Burnout Butch Calling In Calling Out Cancel Capacity Carceral Feminism Caregiver Caste CBT Central Asian Change Change-maker Chest-feeding Chosen Family Chromosome Chromosome Mosaic Cis or Cisgender Civil Rights Class Closeted / 'In the closet' Code-switch Collaboration Colonialism Colorism Coming out Community Community Care Community Development Confidence Connection Consent Conversion Therapy Courage Courageous Communication Creating Space Creativity Culture Cumulative G rief DEI / DE&I / DEIB Deadnaming Debate Decolonise Demisexuality Detransition Disassociation Discrimination Disparate Impact Dogpile Dox ENM (Ethical Non-Monogamy) ERG East Asian Eating Disorder Echochamber Education Ego Elected Official Emotional Regulation Empathetic Witness Empathy Employment Gap Empowerment Energy Equality Equity Erasure Ethnicity and Race FSSW Fa'afafine Faith Family Fat Acceptance Fatphobia Femininity Feminism Femme Fetishisation Finances / Financial Status First Nation Flag Food / Diet Fostering Futch GRC Gaslighting Gatekeeping Gay Gender Gender Assigned at Birth Gender Attribution Gender Dysphoria Gender Euphoria Gender Expression Gender Identity Gender Non-Conforming Gender Roles Genderfluid Genderqueer Gillick competence Grassroots Grey Grounding Growth Guilt HIV HIV Stigma Harassment Hate Speech Healing Health at every size Healthcare Heritage Heteronormativity Hierarchy Hijra Hispanic History Holding Space Home Homophobia Homosexual Hormones Humanistic Hypervigilance IVF Identity Implicit Imposter Syndrome Incarceration Incentive Inclusion Indigenous Indigiqueer Influence Inner Child Institutional Racism Integration Integrity Inter-able Intersectionality Intersex Introspection Islamophobia Isms Journaling Joy (Queer Joy) Justice Kinsey Scale Kyriarchy LGBTQIA2S+ Land Back Language Latin(a/o/e/x) Lavender Menace Leadership Learning Legal Guardian Legislation Lesbian Lesbophobic Liberation Lived Experience Loneliness MLM Male Privilege Man Manifesto Marginalisation Masc Masking Meditation Mental Health Mental Illness / Ill-Health Metamour Micro-Affirmation Micro-Aggression Mindfulness Minority Minority Stress Misgender Misogynoir Misogyny Model Minority Myth Monolithic Movement Multicultural Competence Music Mutual Aid Native Hawaiians Nature Needs Neopronoun Neurodiversity Neutrois Nibling Non-binary Non-discrimination Policies Non-profit Nordic Model Orientation Outed POC Pacific Islanders Pansexual Parenting Passing Patriarchy Peace (Inner peace) People who menstruate Perfectionism Performance/Performativity Person of Colour (POC) Personal Development Perspective Phalloplasty Philanthropy Platonic Play Pluralism Plus Polyamory Polycule Polynesian Polysexual Positionality Post-Traumatic Growth Power Power Dynamics PrEP Prejudice Presentation (Gender) Pride Privacy Privilege Profiting Progress Pronouns Propaganda Protest Psychological Safety Puberty Blockers Purpose QTIPOC Queer Queer Leadership Queer Temporality Racism Rainbow Reasonable Adjustment Reflection Refugee Relationship Anarchy Religion Representation Resilience Restorative Justice Role Model SWERF Safe Space Safe-guarding Safety Same-sex Sapphic School to Prison Pipeline Self Self Compassion Self-actualisation Self-awareness Self-care Self-inquiry Sex Work Sexism Sexual Characteristics Sexuality Shadow-self Shame Slur Social Barriers Social Media Solidarity Somatics South Asian South East Asian Spectrum Spirituality Spoon Theory Sport Stereotype Stimming Stonewall Story-telling Strength Stress Structural Inequality Style Subconscious Success Surgery Surrogate Survival Systems of Oppression T4T TERF Therapy Third Gender Thrive Tokenism Tolerance Top Surgery Trans Tax Transandrophobia Transformation Transgender Transgender Man Transgender Woman Transition Transmisogynoir Transmisogyny Transphobia Trauma Trauma Informed Trigger Tucking Two-Spirit URM Unconscious (bias) Undetectable Unity Vaginoplasty Validation Values VAWG Virtue Signalling Visibility Voice Vulnerability Windrush Generation WLW Well-being White Fragility White Privilege Whole Whorephobia Wisdom Woke Woman Xenophobia Ze/Zir A B C D E G Q H R S I J K L M T U N O V W X P F Z Special thanks goes to our wonderful partner JTI , who kindly sponsored the production of this free glossary for the community. "The transformation of silence into language and action is an act of self-revelation." AUDRE LORDE

Most organisations don’t have an AI capability problem. They have leadership, behaviour, and culture problems. AI is being introduced across organisations, but adoption is inconsistent, confidence is low, and impact remains limited. The challenge is not the technology - it’s how people are using it. The Uncomfortable Truth Behind AI Adoption. Over the past few years, AI has moved from a future-facing conversation to a present-day organisational priority, with many businesses making significant investments in tools, platforms, and infrastructure in an effort to stay competitive, drive efficiency, and unlock new forms of value. Across industries, leadership teams are being asked to respond quickly, to experiment, and to integrate AI into how work gets done, often while navigating a level of uncertainty that feels both exciting and difficult to fully define. Despite this momentum, a more complex reality emerges inside organisations - one that is primarily felt by those responsible for making AI adoption actually work in practice. Because while AI has been introduced, and in many cases well-communicated, adoption is not landing in the way many organisations expected. Usage remains inconsistent across teams. Leaders support it in principle, but hesitate in practice. Teams experiment in pockets, but struggle to embed it into how work actually happens. AI’s impact, while visible in moments, often remains at the level of surface productivity gains, rather than translating into deeper shifts in augmenting performance, decision-making, or organisational capability. At We Create Space, this is the pattern we are seeing consistently across organisations. Most organisations don’t have an AI capability problem, they have a leadership and behavioural problem. AI is being introduced, but: leaders lack confidence applying it in real decisions teams are unsure where it is safe to use experimentation is inconsistent usage stays at productivity, not performance The result is familiar. AI exists within the organisation, but is not yet integrated within how the organisation operates. This is not due to a lack of effort, nor is it a reflection of poor intent. If anything, it reflects how much organisations have already done. But it does point to something important - something we explored in our previous article, AI Won’t Save Your Company Culture - that the challenge we are facing with AI is not primarily a technological one. It is a human one. History Repeating Itself. If we zoom out slightly, this pattern is not entirely new. Over the past decade, organisations have navigated wave after wave of transformation - digital transformation, hybrid work, culture change, inclusion and belonging. Each moment has come with a similar promise: that with the right strategy, the right tools, and the right investment, organisations can adapt and move forward more effectively. AI represents the next chapter in that story. It feels both new and familiar at the same time: New in its speed, its scale, and its potential impact; familiar in the way it is being introduced, discussed, and operationalised inside organisations. Once again, we are seeing a pattern emerge - significant investment in tools and infrastructure, a clear articulation of opportunity and intent, and a growing library of use cases and pilot initiatives designed to demonstrate value. As with previous waves of transformation, when we look more closely at how these changes are translating into day-to-day work, the picture becomes more complex. Because the challenge is rarely the introduction of new capability, it is the integration of that capability into behaviour. Where AI Adoption Really Breaks Down. In most organisations, AI adoption has been approached in a way that feels both logical and familiar. New tools are introduced, training is delivered, use cases are shared, and employees are encouraged to explore how these technologies might support their work. Initially, this creates a sense of progress, and in many cases, genuine enthusiasm. People understand what AI is and what it can do, but they are less certain about how to use it effectively in real, often complex, situations. Leaders can see the strategic value, but may hesitate when it comes to applying AI in high-stakes decisions where accountability, risk, and judgment are more visible. Teams may experiment in isolated pockets, but struggle to establish consistent ways of working that integrate AI into everyday processes. What sits beneath all of this is not simply a gap in knowledge, but a gap in application. As we see consistently through our work with organisations, and as reflected in our AI diagnostics and programmes, adoption tends to stall across a number of interconnected areas. Leaders lack confidence in how to use AI as part of their decision-making, teams feel uncertain about where it is safe to experiment, and organisational signals - such as incentives, expectations, and risk frameworks - don’t fully support the behaviours required for consistent adoption. The result is that AI begins to sit slightly outside of how work actually happens. It becomes something people use occasionally, rather than something that is embedded into how individuals, teams, and organisations operate on a daily basis. This is often the point at which organisations begin to recognise that what appears to be a technology challenge is, in practice, a behavioural one. It is also why we typically begin our work with an AI Adoption Diagnostic - a focused, structured conversation that helps leadership teams identify where adoption is stalling across leadership behaviour, team dynamics, and organisational signals, and where the highest-leverage shifts can be made to unlock meaningful impact. The Role Of Leadership In Shaping Adoption. One of the most important shifts we are now seeing is a reframing of what AI adoption actually requires from organisations. Rather than viewing AI purely as a tool that individuals need to learn how to use, forward-thinking organisations are beginning to recognise that AI is fundamentally changing how leadership itself is practised. It is influencing how decisions are made, how information is interpreted, how communication is shaped, and how teams collaborate under conditions of increasing complexity. In this context, AI becomes less about technical capability, and more about leadership capability. The organisations making the most progress are not asking, “How do we train people to use AI tools?” in isolation. Instead, they are asking, “How does AI change how our leaders think, decide, communicate, and lead?” This distinction matters, because it shifts the focus from knowledge to behaviour. It moves the conversation away from what people understand, and towards how they act, particularly in the moments that carry the most weight, moments of uncertainty, pressure, and decision-making. It is within this shift that skill-based learning becomes mission critical. Leadership has always played an integral role in shaping organisational behaviour but in moments of transformation, that role becomes even more pronounced. Employees look to leaders not only for direction, but for signals. What is encouraged? What is rewarded? What is safe? When leaders actively engage with AI - using it in their own work, acknowledging uncertainty, and demonstrating learning in real time - they create permission for others to do the same. When they do not, a different message is often received. That AI is important, but not essential. That experimentation is encouraged, but not expected. That the risk of getting it wrong may outweigh the benefit of trying. These signals are rarely explicit but they are powerful. As we often say in our leadership work, behaviour is the most visible form of culture. Within the context of AI, leadership behaviour will play a significant role in determining whether adoption accelerates or stalls. Why Skill-Based Learning Is The Missing Link. Skill-based learning is not a new concept, but its importance has fundamentally increased in the context of AI and the broader transformation of work. Historically, organisational learning has often been structured around knowledge transfer. Individuals attend workshops, complete modules, and leave with new information, with the expectation that this will translate into improved performance. While this approach can be effective in stable environments, it becomes significantly less effective in contexts that are complex, ambiguous, and rapidly evolving. At its core, it recognises that learning is only meaningful if it changes behaviour. Not in a theoretical sense, but in the everyday moments that shape how work actually happens. How a leader responds to a challenge in a meeting. How a team approaches uncertainty in a project. How an individual decides whether or not to rely on AI in a piece of work. These are not abstract scenarios. They are the instances where organisational culture is created, reinforced, and experienced. Decades of research in learning theory and behavioural science suggest that information alone rarely leads to sustained behaviour change. Without opportunities for practice, reflection, and reinforcement, learning tends to remain conceptual rather than becoming embedded in everyday behaviour. This is particularly relevant in the context of AI, where individuals are being asked not simply to learn a new tool, but to change how they approach their work. The World Economic Forum’s Future of Jobs Report (2025) highlights that nearly 40% of current skills are expected to be disrupted by the end of the decade, with increasing emphasis on analytical thinking, adaptability, and resilience. At the same time, research from organisations such as McKinsey indicates that while employees are actively seeking opportunities to upskill, many feel unsupported in translating that learning into practical application. What this reveals is not a lack of motivation, but a gap between learning and doing. Skill-based learning addresses this gap by focusing on the development of capabilities that can be applied consistently in real-world contexts. It moves beyond exposure to information and creates environments where individuals can practise, experiment, and build confidence over time. What organisations are asking of their people is not simply to learn a new tool. They are asking them to change how they work, to integrate new forms of thinking into existing processes, and to navigate uncertainty with greater confidence. This cannot be achieved through one-off interventions. It requires a more sustained, experiential approach to development. One that supports individuals not only in understanding AI, but in using it effectively, consistently, and responsibly. From Knowing, To Doing, To Becoming. At its core, skill-based learning is about shifting the focus from what people know, to what they do, and ultimately, to who they become within their roles. In the context of AI, this means moving beyond the question of whether individuals understand how a tool works, and asking whether they can use it effectively in the moments that matter. Can they apply AI in a complex decision where there is no clear answer? Can they use it to enhance communication without losing clarity or authenticity? Can they integrate it into their workflows in a way that feels natural, rather than forced? These are the behavioural questions we need to be answering. Developing these capabilities requires more than instruction. It requires practice in realistic scenarios, opportunities to test and refine approaches, and space to reflect on what works and what does not. Over time, this is what builds confidence, and it is confidence that ultimately drives adoption. Without this, AI remains something that people understand in theory, but hesitate to rely on in practice. The Human Layer Of AI Adoption. While much of the conversation around AI focuses on capability and performance, there is another layer that plays a significant role in shaping how adoption unfolds - the human experience. For many individuals, AI introduces another set of questions which are deeply personal and relational. Questions about trust. Questions about relevance. Questions about identity and value. What does this mean for my role? How do I know when to trust the output? What happens if I get this wrong? How do I use AI without losing my own judgment or voice? These questions are not always voiced explicitly, but they influence behaviour in subtle and powerful ways. They shape whether individuals choose to experiment or hold back, whether they engage fully or partially, and whether they see AI as an opportunity or as a source of risk. This is where emotional intelligence becomes a critical capability. As research from Harvard Business School has shown, psychological safety is one of the strongest predictors of team performance, and it is created through everyday leadership behaviour. In environments where individuals feel safe to experiment, to make mistakes, and to learn openly, adoption tends to accelerate. In environments where risk is penalised or uncertainty is discouraged, the opposite tends to happen. AI adoption, at its core, requires experimentation. And experimentation requires safety.\ When AI Accelerates What Already Exists. One of the more subtle and increasingly important realities of AI adoption is that it does not operate independently of organisational culture. It does not arrive as a neutral layer that simply improves efficiency or productivity in isolation. It interacts with, reflects, and often amplifies the conditions that are already present within an organisation. This is where many organisations encounter an unexpected dynamic. Because while AI has the potential to accelerate innovation, decision-making, and performance, it can just as easily accelerate friction, misalignment, and disengagement if those elements already exist beneath the surface. In highly connected, psychologically safe, and well-aligned teams, AI tends to enhance collaboration. It supports faster iteration, clearer communication, and more confident experimentation. Individuals are more willing to test ideas, challenge outputs, and learn from mistakes, because the environment around them supports that behaviour. In contrast, in teams where trust is low, communication is fragmented, or leadership behaviours are inconsistent, AI can unintentionally amplify those challenges. Decision-making may become faster, but not necessarily better. Communication may become more frequent, but not more aligned. Outputs may increase, while clarity and ownership decrease. In these environments, the introduction of AI does not resolve underlying issues. It often makes them more visible, and in some cases, more pronounced. This reflects a broader principle we see across organisational change. Technology tends to accelerate what already exists. And in the case of AI, the speed of that acceleration is significantly higher than many organisations are used to managing. This dynamic is something we see very clearly when working with organisations. AI reveals and accelerates the qualities of workplace cultures. Which is why attempts to “layer AI on top” of existing ways of working often fall short. Without addressing the underlying behavioural and cultural conditions, adoption remains inconsistent, and the return on investment remains limited. This is where a more integrated approach that combines leadership development, skill-based learning, and culture alignment becomes critical. Impact on Belonging, Engagement, And Retention. It can be tempting to view AI adoption as a standalone initiative, separate from broader conversations around culture, belonging, and engagement. In reality, these dynamics are deeply interconnected. How AI is introduced and experienced within an organisation will shape how people feel about their work, their role, and their future. If AI creates uncertainty without support, people may disengage. If it creates pressure without clarity, people may hesitate. If it is implemented inconsistently, people may lose trust. But when AI is introduced in a way that builds capability, confidence, and clarity, a different dynamic emerges. People feel more equipped to navigate change. They see opportunities for growth, rather than threat. They experience the organisation as investing in their development, not replacing it. This is where skill-based learning becomes a lever not only for performance, but for belonging and retention. As highlighted in our previous article, organisations that invest in human-centred skills such as communication, empathy, and adaptability tend to see stronger engagement and lower attrition. AI does not replace this dynamic. It amplifies it. The Talent Pipeline Challenge. Alongside this, there is another challenge beginning to emerge - one that is less about immediate adoption, and more about the future of leadership within AI-enabled organisations. Historically, leadership capability has been developed over time through experience. Individuals move from junior roles into management positions, gradually building skills in communication, decision-making, stakeholder management, and team leadership. These capabilities are not learned in isolation; they are developed through exposure, practice, and progression. AI has the potential to reshape parts of this journey. As certain tasks become automated or augmented, the nature of early-career roles may change. In some cases, individuals may have fewer opportunities to practise the foundational skills that have traditionally prepared them for leadership. The pathway from junior to manager to director may become less linear, and in some organisations, less clearly defined. This creates an important question for organisations to consider. If the structure of work is changing, how do we ensure that leadership capability continues to develop? While AI can support decision-making, it does not replace the need for judgment. It can enhance communication, it does not replace the need for clarity, empathy, and relational awareness. Efficiency may increase but it does not replace the need for leaders who can navigate complexity, build trust, and create environments where people can perform at their best. In this sense, the development of future leaders becomes more intentional, not less. It requires organisations to think differently about how skills are built, how experience is created, and how individuals are supported in developing the capabilities that AI cannot replicate. Why This Matters Now. Taken together, these dynamics point to a deeper “why” behind the shift towards skill-based learning. AI is not simply introducing new tools into organisations. It is increasing the speed, visibility, and impact of existing behaviours, while simultaneously reshaping the pathways through which those behaviours are developed. This means that organisations cannot rely on technology alone to drive transformation. Nor can they assume that existing approaches to learning and development will be sufficient. Instead, there is a need for a more deliberate focus on the human capabilities that underpin performance. Capabilities such as judgment, communication, adaptability, and emotional intelligence. Capabilities that enable individuals to use AI effectively, rather than simply access it. Capabilities that support not only current performance, but the development of future leadership. This is where the connection to skill-based learning becomes clear because skill-based learning is not only about enabling people to use AI today. It is about ensuring that organisations continue to build the leadership, culture, and capability required to navigate an increasingly complex and fast-moving future. For many organisations, this is also where the conversation begins to shift from short-term adoption to longer-term capability. If AI is reshaping how work is done, then it is also reshaping how future leaders are developed. This is a key focus of our AI Adoption & Leadership Accelerator, where we work with organisations not only to embed AI into current workflows, but to build the leadership behaviours, decision-making capability, and confidence required to sustain performance over time. A More Integrated Approach To AI Readiness. What we are seeing in organisations that are moving forward more effectively is not necessarily a greater investment in technology, but a more integrated approach to capability. An understanding that AI adoption does not sit within a single function, but across multiple layers of the organisation. Within leadership behaviour, where confidence and judgment are shaped. Within team dynamics, where psychological safety enables experimentation. Within organisational culture, where norms determine what is expected. Within systems and structures, where incentives and signals reinforce behaviour. When these elements are aligned, AI begins to move from being a tool that people use occasionally, to a capability that is embedded in how work happens. When they are not, adoption tends to remain fragmented. This is the space in which we work most often with organisations. Not at the level of tools, but at the level of behaviour, leadership, and culture. Supporting organisations to understand where adoption is breaking down, and what needs to shift to unlock its potential. Why Behaviour Change Requires Space. Across our work at We Create Space, we often describe transformation as something that requires space before it requires structure. This is particularly true in the context of AI, where individuals are being asked to change how they think, how they work, and how they make decisions, often while continuing to deliver in their existing roles. The Creating Space Methodology provides a way of understanding how this change unfolds across different, interconnected layers of an organisation. At an individual level, it involves building confidence, self-awareness, and judgment. At a relational level, it involves strengthening communication, trust, and psychological safety. At a collective level, it involves establishing shared norms around experimentation and learning. And at a systemic level, it involves aligning incentives, expectations, and organisational signals. When these layers are disconnected, adoption tends to stall. Leaders may develop awareness, but feel constrained by existing systems. Teams may experiment, but lack alignment with broader organisational priorities. Policies may encourage innovation, but in practice, make it difficult to take risks. When these layers are aligned, behaviour change becomes more sustainable. AI moves from being an initiative, to becoming part of how the organisation operates. From Tool Usage To Organisational Impact. One of the most common challenges organisations face is that AI adoption remains focused on usage, rather than impact. Metrics such as logins, prompts, or tool engagement provide a useful starting point, but they do not fully capture whether AI is improving decision-making, enhancing communication, or driving better outcomes. The organisations seeing the most meaningful results are those that move beyond measuring activity, and instead focus on how AI is shaping behaviour. Are leaders making more informed decisions? Are teams communicating more effectively? Are individuals working with greater clarity and confidence? These are more difficult questions to measure, but they are ultimately the ones that determine whether AI is delivering value. This is also where the connection to belonging, engagement, and retention becomes clear. How individuals experience AI within an organisation will influence how they feel about their work. When AI is introduced in a way that builds capability and confidence, individuals are more likely to feel supported, engaged, and invested in. When it is introduced without these elements, it can create uncertainty, hesitation, and disengagement. In this sense, AI adoption is not separate from culture. It is a reflection of it. If any of this feels familiar, it is often because the challenge is not isolated to a single team or function. It tends to sit across leadership, culture, and systems. And while it can be difficult to see clearly from the inside, it becomes much easier to identify through a structured external lens. A Reflection For Organisations. If AI adoption is not yet delivering the impact you expected, it may be worth asking a different set of questions. Not only: Do our people understand the tools? But also: Do our leaders feel confident using AI in real decisions? Do our teams feel safe experimenting with it? Are we reinforcing the behaviours we want to see? Are we measuring what actually matters? Because often, the answers to these questions reveal where the real opportunity lies. Where We Come In. At We Create Space, our work sits at the intersection of leadership, culture, and behaviour. Through our AI Adoption Diagnostics and Leadership Accelerator, we support organisations in understanding where adoption is breaking down, and in building the capabilities required to move from awareness to action. This includes developing leadership confidence, strengthening team dynamics, and embedding behaviours that support consistent and effective use of AI in real work contexts. Because ultimately, the goal is not simply to introduce AI into an organisation. It is to integrate it into how that organisation thinks, works, and performs. Final Thoughts. AI will continue to evolve, and organisations will continue to invest in new tools, platforms, and capabilities. But the determining factor in whether these investments translate into meaningful outcomes will remain the same: how people engage with them. The organisations that succeed will not necessarily be those with the most advanced technology, but those that are most effective at developing the human capabilities required to use that technology well. They will invest in skill-based learning, not as a standalone initiative, but as a core part of how they build leadership, culture, and performance. They will recognise that behaviour change is not a by-product of transformation, but the mechanism through which it happens. And in doing so, they will position themselves not only to adopt AI, but to integrate it in a way that is sustainable, human-centred, and impactful. While you're here... At We Create Space, we support organisations in bridging the gap between AI capability and real-world application through leadership development, skill-based learning, and culture transformation. Our AI Adoption Diagnostic and Leadership Accelerator are designed to help organisations understand where adoption is breaking down, and to build the behaviours, confidence, and alignment required to unlock meaningful impact. Because ultimately, AI is not just about what organisations invest in. It is about what their people are able to do with it.

Leadership in Climate Action. At We Create Space, we see the transformative power of community every single day. For organisations striving to build a more inclusive, engaged, and thriving workplace, we believe community-building isn’t just a solution. It’s the foundation. Our series, ‘Community Building 101,’ explores key factors for successful community development. Each session will provide actionable strategies and tools to promote effective change, collective learning, workplace culture, and shared values through three key pillars: Inclusion, Wellbeing, and Leadership. The objective of Community Building 101 is to provide actionable strategies & tools to promote effective change, collective learning, workplace culture & shared values. It also serves as a talking point for how grassroots principles can be applied in corporate settings and vice versa. Out in Climate is a non-profit dedicated to building community among LGBTQ+ professionals working on climate solutions and their mission is simple: to connect and uplift queer voices across the climate space. Since 2022, Out in Climate has hosted 50+ events, connecting over 1,000 people from climate tech startups and investors to corporations, government, and NGOs. Research shows that marginalised groups including LGBTQ+ individuals, are disproportionately affected by climate change and are underrepresented in the spaces where solutions are designed. During this timely conversation to mark World Earth Day, we’re joined by some of the team from Out In Climate’s London Chapter, which officially launched in March 2025 as they seek to grow a vibrant local community. Jon-Paul Vicari (he/him), Managing Director for WCS, was joined by Jason Dela Cruz (he/him) & Hayley Moller (she/her), City Leads for Out In Climate London to dive into leadership within the crucial area of community meets climate action. They’ll be discussing the topics below and sharing stories, best practices, and resources to bring these skills to life in both your personal and professional development: - Vision & purpose - Storytelling - Power & privilege - Visible role models We asked our speakers to share their main takeaways from the event: Hayley Moller Community starts with just a few committed people. Stories about climate impact can motivate action Climate action is like community action - start small, but start somewhere. Jason Dela Cruz Find your people - be proactive! Always advocate for the underrepresented in climate discussions. Showing up inspires others to take action. Jon-Paul Vicari You don’t have to know everything or anything to get involved. Showing up is the important step! Be adaptable, each person/community will have different needs and a one size fit all approach can be harmful. Invite people in through stories, not shame. If you would like to discuss booking one of these speakers for your own session, please get in touch with us via email at hello@wecreatespace.co While you're here... At We Create Space, we support organisations in bridging the gap between AI capability and real-world application through leadership development, skill-based learning, and culture transformation. Our AI Adoption Diagnostic and Leadership Accelerator are designed to help organisations understand where adoption is breaking down, and to build the behaviours, confidence, and alignment required to unlock meaningful impact. Because ultimately, AI is not just about what organisations invest in. It is about what their people are able to do with it.

Why inclusion efforts often feel fragmented - and how organisations can connect leadership, cultures and systems to create more consistent workplace experience. For many organisations, inclusion is no longer a question of intent. There are strategies in place. Leadership commitments have been made. Training programmes have been delivered. Employee networks have been established. On paper, progress is visible. And yet, a different picture often emerges when you look more closely at everyday experience. Employees describe environments where inclusion is talked about, but not always felt. Leaders express genuine commitment, but also uncertainty about what inclusive leadership looks like in practice. HR and People teams find themselves navigating a growing gap between organisational ambition and what is consistently happening day-to-day. This is where many inclusion efforts begin to stall. Not because organisations don’t care. But because something more fundamental is missing. This is the thinking that sits behind the Creating Space Methodology - a way of understanding how leadership behaviour, culture and systems need to connect in practice. When Inclusion Doesn’t Stick. One of the most consistent patterns we see in our work is that organisations are often doing many of the right things - but those things are not always connected. There may be strong leadership training in place. Active employee networks. Updated policies. Regular engagement surveys. Each of these matters, but when they operate independently, they can create activity without creating lasting change. Programmes create momentum for a period of time. Conversations begin. Awareness increases. But over time, that energy can fade - particularly if the underlying ways of working remain the same. This is why inclusion can feel visible in moments, but inconsistent in practice. The Gap Most Organisations Are Navigating. What sits underneath this challenge is not a lack of effort, but a lack of alignment. Inclusion is often being approached as a set of initiatives, rather than something embedded into how the organisation actually operates. As a result: leadership behaviour does not always reflect organisational values team dynamics vary significantly across different parts of the business systems and processes do not always reinforce the culture the organisation is trying to create Over time, this creates a gap between intention and experience. Between what organisations say they value and how people actually experience work. This is not just about programmes. It’s about how work actually happens day-to-day. A Different Way of Looking at Culture. To begin closing this gap, it can be helpful to look at culture differently. Rather than seeing it as a single concept, culture can be understood as something that operates across multiple, interconnected layers - from individual awareness, to team interactions, to shared norms, to organisational systems. In most organisations, work is already happening across all of these areas. The challenge is that it is not always happening in a connected way. For example, leaders may develop greater awareness through training, but still operate within systems that reward different behaviours. Teams may build strong internal connections, while other parts of the organisation experience something very different. Policies may exist to support inclusion, but feel difficult to apply in practice. None of these are unusual situations. They reflect a common reality: progress is happening, but not always in a way that reinforces itself. The Creating Space Methodology explores this by looking at how these different layers of culture connect - and where that connection breaks down in practice. Why Progress Can Feel Slow - Even When Work Is Happening. When efforts across leadership, culture and systems are not aligned, organisations can experience a sense of ongoing effort without clear momentum. New initiatives are introduced. Energy builds. Some areas improve. But over time, the same challenges reappear in different forms. This is often the point where HR and People leaders begin to ask a deeper question: How do we make inclusion part of how the organisation actually functions, rather than something that sits alongside everyday work? This question marks an important shift. It moves the focus from activity to integration . Towards a More Integrated Approach. An integrated approach to inclusion does not necessarily mean doing more. In many cases, it means creating stronger connection between what is already happening. It involves looking at how: leadership behaviour shapes everyday experience team dynamics influence belonging and trust organisational systems reinforce (or limit) inclusive practices And asking where those elements are working together - and where they are not. This is where having a clear framework can be useful. Not as a rigid model, but as a way of bringing structure and visibility to what can otherwise feel like a complex and evolving challenge. Moving Forward. For organisations at this stage, progress often begins with reflection rather than immediate action. Taking time to step back and consider questions such as: Where do employees experience the biggest gaps between values and behaviour? Where does inclusion feel consistent - and where does it vary? Which aspects of the organisation reinforce inclusive ways of working, and which make them harder? These kinds of questions can help shift the conversation from isolated initiatives to a more connected understanding of culture. Even small changes in how organisations approach this reflection can begin to create momentum. Exploring This in More Detail. This article touches on a pattern we see across many organisations - the gap between inclusion strategy and everyday experience. In our latest white paper, we explore this challenge in more depth, alongside a practical framework for understanding how leadership behaviour, culture and systems interact - and how organisations can begin to align them more effectively. Download the full white paper below to explore The Creating Space Methodology in more detail. Final Thoughts. Inclusion is not only shaped by what organisations say or intend. It is shaped by how people experience their work - in conversations, decisions, systems and relationships. Closing the gap between strategy and experience is not about doing more. It is about creating stronger connection between what organisations believe, how people behave, and how work actually happens. And that is where meaningful, sustainable change begins. While you're here... We Create Space is a global learning platform and consultancy focused on workplace talent-development and community-building. Our human-centred approach creates space for people and organisations to thrive through leadership development, team learning experiences, data-backed belonging practices and bespoke content . Learn more We also organise FREE community events throughout the year! We offer a variety of ways to get involved - both online and in person. This is a great way to network and learn more about others' experiences, through in-depth discussion on an array of topics. You can find out what events we have coming up here . New ones are added all the time, so make sure you sign up to our newsletter so you can stay up to date!