{"id":3270,"date":"2026-04-21T08:00:00","date_gmt":"2026-04-21T08:00:00","guid":{"rendered":"https:\/\/www.klarahr.com\/blog\/?p=3270"},"modified":"2026-04-01T07:51:47","modified_gmt":"2026-04-01T07:51:47","slug":"ai-skills-integrating-artificial-intelligence-without-creating-organisational-debt","status":"publish","type":"post","link":"https:\/\/www.klarahr.com\/blog\/ai-skills-integrating-artificial-intelligence-without-creating-organisational-debt\/","title":{"rendered":"AI skills: integrating artificial intelligence without creating organisational debt"},"content":{"rendered":"\n[et_pb_section fb_built=\u00a0\u00bb1&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_row _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_heading title=\u00a0\u00bbKey takeaways\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh2&Prime; title_text_color=\u00a0\u00bb#001F45&Prime; custom_margin=\u00a0\u00bb50px||10px||false|false\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<blockquote><p><b>AI use is expanding faster than skill development<\/b><span style=\"font-weight: 400;\">, creating a gap between what tools can do and what organisations can actually use effectively.<\/span><\/p><\/blockquote>\n<blockquote><p><span style=\"font-weight: 400;\">Unstructured AI adoption <\/span><b>creates organisational debt<\/b><span style=\"font-weight: 400;\">: tool stacking, fragmented practices, lack of consistency.<\/span><\/p><\/blockquote>\n<blockquote><p><span style=\"font-weight: 400;\">Managing AI skills requires clear governance: who uses AI, for what, and with what level of autonomy.<\/span><\/p><\/blockquote>\n<blockquote><p><span style=\"font-weight: 400;\">The challenge is not just producing AI outputs, but interpreting them, understanding their limits, and<\/span><b> taking responsibility<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><\/blockquote>\n<blockquote><p><span style=\"font-weight: 400;\">Sustainable AI integration depends <\/span><b>on alignment with existing skill frameworks<\/b><span style=\"font-weight: 400;\">, decision-making processes, and ways of working.<\/span><\/p><\/blockquote>[\/et_pb_text][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">Artificial intelligence is gradually establishing itself in organisations, but its adoption reveals a growing<\/span><b> imbalance between uses and the AI skills that are actually mastered<\/b><span style=\"font-weight: 400;\">. Faced with this reality, the question is no longer whether AI should be integrated, but how to do so without creating organisational debt.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Multiplying tools, experimenting without governance, or separating AI from existing practices exposes projects to losing momentum. Conversely, <\/span><b>an approach based on critical skills<\/b><span style=\"font-weight: 400;\"> and a progressive implementation of know-how allows AI to be anchored over time.<\/span><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbAI adoption is moving faster than skills across organisations\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh2&Prime; title_text_color=\u00a0\u00bb#001F45&Prime; custom_margin=\u00a0\u00bb50px||10px||false|false\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">According to a McKinsey survey, 88% of companies worldwide report using AI technology. This acceleration in use is not matched by structured skill development.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This growth in usage is not always accompanied by an equivalent effort in terms of training and skills management. The 2024 Work Trend Index Annual Report by Microsoft shows that 75% of global workforce use AI in their daily work while 39% report having received no formal training<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In other words, AI is being integrated into daily practices faster than upskilling systems are being developed. This gap creates a paradoxical situation:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">On one hand, organisations experiment with and deploy AI solutions, often under pressure for performance or innovation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">On the other hand, the skills required to understand and leverage these uses remain only partially structured.<\/span><\/li>\n<\/ul>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#F79699&Prime; divider_weight=\u00a0\u00bb3px\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb background_color=\u00a0\u00bbRGBA(255,255,255,0)\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_heading title=\u00a0\u00bbIntegrating AI without method creates organisational debt\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh2&Prime; title_text_color=\u00a0\u00bb#001F45&Prime; custom_margin=\u00a0\u00bb50px||10px||false|false\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">When artificial intelligence is implemented without a clear framework, it generates organisational debt comparable to technical debt: quick choices that produce <\/span><b>delayed effects that are difficult to correct.<\/b><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbAccumulation of tools and fragmentation of practices\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh3&Prime; custom_margin=\u00a0\u00bb50px||10px||false|false\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">The first source of organisational debt lies in the<\/span><b> multiplication of AI solutions introduced<\/b><span style=\"font-weight: 400;\"> over the course of projects. Each team tests its own tools and explores new functionalities without cross-functional coordination. This logic of continuous experimentation<\/span><b> fragments practices and makes overall visibility more complex<\/b><span style=\"font-weight: 400;\">. It becomes difficult to identify who is doing what, with which reference points, and according to which rules of use.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Over time, this accumulation <\/span><b>blurs the understanding of the skills <\/b><span style=\"font-weight: 400;\">that are actually being mobilised. Organisations have powerful tools but<\/span><b> struggle to capitalise on the learning generated<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbDependence on experts and dilution of responsibility\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh3&Prime; custom_margin=\u00a0\u00bb50px||10px||false|false\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">Organisational debt also appears through <\/span><b>dependence on a limited number of experts<\/b><span style=\"font-weight: 400;\">, often called upon to interpret results or secure usage. This concentration of knowledge creates an imbalance. Under these conditions, responsibility becomes unclear. Who validates a recommendation produced by an automated system? Who arbitrates in the event of an error? <\/span><b>AI becomes embedded in processes without real organisational ownership.<\/b><\/p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#F79699&Prime; divider_weight=\u00a0\u00bb3px\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb background_color=\u00a0\u00bbRGBA(255,255,255,0)\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_heading title=\u00a0\u00bbAI skills: strengthening what already exists to avoid organisational complexity\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh2&Prime; title_text_color=\u00a0\u00bb#001F45&Prime; custom_margin=\u00a0\u00bb50px||10px||false|false\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">The most common mistake in AI integration projects is to <\/span><b>treat AI skills as an autonomous block<\/b><span style=\"font-weight: 400;\">. This approach often leads to juxtaposing tools or roles without clear articulation with the existing organisation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI-related skills <\/span><b>do not replace business expertise or existing capabilities. They build upon them<\/b><span style=\"font-weight: 400;\">. Understanding a model or interpreting an automated recommendation first relies on<\/span><b> a detailed knowledge of processes<\/b><span style=\"font-weight: 400;\"> and operational constraints. Without this foundation, AI remains an isolated system with limited long-term usability.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A <\/span><b>controlled integration of AI skills<\/b><span style=\"font-weight: 400;\"> therefore requires starting from what already exists:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Skills frameworks;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ways of collaboration;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Decision-making processes.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">It is within this perspective that structuring tools such as <\/span><a href=\"https:\/\/www.klarahr.com\/uk\/skills-monitoring\/data-visualisation.html#matrice-competences\"><span style=\"font-weight: 400;\">the skills matrix<\/span><\/a><span style=\"font-weight: 400;\"> take on their full meaning. It provides a cross-functional view of already mastered skills and <\/span><b>facilitates the identification of leverage points to integrate AI without disruption and adapt training pathways<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#F79699&Prime; divider_weight=\u00a0\u00bb3px\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb background_color=\u00a0\u00bbRGBA(255,255,255,0)\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_heading title=\u00a0\u00bbFrom machine learning to generative AI: which skills to mobilise?\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh2&Prime; title_text_color=\u00a0\u00bb#001F45&Prime; custom_margin=\u00a0\u00bb50px||10px||false|false\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">Behind the term AI lie different approaches, which do not mobilise the same skills. Clarifying these distinctions helps avoid a double pitfall: overestimating the technical dimension or, conversely, underestimating the human skills required for actual AI use.<\/span><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbWhat AI technologies actually cover\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh3&Prime; custom_margin=\u00a0\u00bb50px||10px||false|false\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Machine learning technologies rely on<\/span><b> analysing large volumes of data<\/b><span style=\"font-weight: 400;\"> to produce predictions or automate certain classifications. They are already widely used in predictive analytics and decision support. These systems most often rely on neural networks, capable of identifying complex patterns by progressively learning from input data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Generative AI, for its part, produces content or recommendations based on existing data. The user does not simply read a result; they test new functionalities, <\/span><b>formulate hypotheses, and adjust their requests<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Within an HR function, a machine learning model can identify trends in skills evolution based on historical data. AI assistants, for their part, can go further by acting as<\/span><b> AI-powered skill generators<\/b><span style=\"font-weight: 400;\">. They are able to propose personalised upskilling pathways or suggest training adapted to a given profile.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In both cases,<\/span><b> the critical skill remains the ability to interpret results, not to develop the model<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>[\/et_pb_text][et_pb_heading title=\u00a0\u00bbExpected skills beyond technology\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh3&Prime; custom_margin=\u00a0\u00bb50px||10px||false|false\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">Regardless of the technology used, expected <\/span><b>AI skills <\/b><span style=\"font-weight: 400;\">go far beyond tool mastery. They rely on capabilities already present in the organisation but evolving.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Understanding what an automated system does, and what it does not do;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Identifying biases or limitations in a generated result<\/b><span style=\"font-weight: 400;\">;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Placing a recommendation within its business and regulatory context;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Deciding when to follow, adjust, or discard a proposal generated by AI<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">A manager using a recommendation from a generative AI system to anticipate skills needs is exercising a judgment capability that already exists, enriched by a larger volume of information. AI changes scale and speed, not responsibility.<\/span><\/p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#F79699&Prime; divider_weight=\u00a0\u00bb3px\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb background_color=\u00a0\u00bbRGBA(255,255,255,0)\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_heading title=\u00a0\u00bbManaging an AI skills project at organisational scale\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh2&Prime; title_text_color=\u00a0\u00bb#001F45&Prime; custom_margin=\u00a0\u00bb50px||10px||false|false\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;][\/et_pb_heading][et_pb_text _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb hover_enabled=\u00a0\u00bb0&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">At organisational scale, in <\/span><b>an AI skills project<\/b><span style=\"font-weight: 400;\">, the challenge is not only to identify use cases, but to define who mobilises which skills, at what moment, and with what level of responsibility. Without this structure, AI is adopted opportunistically, depending on local initiatives.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The first condition for effective management lies in governance. Integrating AI into practices requires <\/span><b>clarifying existing roles rather than systematically creating new ones<\/b><span style=\"font-weight: 400;\">. HR, training, business, and IT functions retain their respective responsibilities but must share a common foundation of AI uses.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Managing AI skills in a project also implies<\/span><b> rethinking decision-making processes<\/b><span style=\"font-weight: 400;\">. AI enables the production of real-time or large-scale analysis, but these capabilities only create value if decision-makers have the skills required to use them.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Finally, managing an AI skills project<\/span><b> requires aligning project initiatives with a clear and structured upskilling trajectory.<\/b><\/p>[\/et_pb_text][et_pb_divider color=\u00a0\u00bb#F79699&Prime; divider_weight=\u00a0\u00bb3px\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb background_color=\u00a0\u00bbRGBA(255,255,255,0)\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4&Prime; _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][et_pb_heading title=\u00a0\u00bbFAQ\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_level=\u00a0\u00bbh2&Prime; title_text_color=\u00a0\u00bb#001F45&Prime; custom_margin=\u00a0\u00bb0px||10px||false|false\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb][\/et_pb_heading][et_pb_toggle title=\u00a0\u00bbWhat is meant by AI skills in an organisation?\u00a0\u00bb open_toggle_text_color=\u00a0\u00bb#E5554F\u00a0\u00bb closed_toggle_background_color=\u00a0\u00bb#FFFFFF\u00a0\u00bb icon_color=\u00a0\u00bb#F79699&Prime; toggle_icon=\u00a0\u00bb&#x3b;||divi||400&Prime; open_icon_color=\u00a0\u00bb#E5554F\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_text_color=\u00a0\u00bb#001F45&Prime; hover_enabled=\u00a0\u00bb0&Prime; border_radii=\u00a0\u00bbon|5px|5px|5px|5px\u00a0\u00bb border_color_all=\u00a0\u00bb#F79699&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">AI skills refer to all the human capabilities required to understand, frame, and use artificial intelligence systems. They are not limited to technical aspects and include analysis, judgment, decision-making, and governance of uses.<\/span><\/p>[\/et_pb_toggle][et_pb_toggle title=\u00a0\u00bbShould all employees be trained in artificial intelligence?\u00a0\u00bb open_toggle_text_color=\u00a0\u00bb#E5554F\u00a0\u00bb closed_toggle_background_color=\u00a0\u00bb#FFFFFF\u00a0\u00bb icon_color=\u00a0\u00bb#F79699&Prime; toggle_icon=\u00a0\u00bb&#x3b;||divi||400&Prime; open_icon_color=\u00a0\u00bb#E5554F\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_text_color=\u00a0\u00bb#001F45&Prime; hover_enabled=\u00a0\u00bb0&Prime; border_radii=\u00a0\u00bbon|5px|5px|5px|5px\u00a0\u00bb border_color_all=\u00a0\u00bb#F79699&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">No. The objective is not uniform training, but targeted upskilling. Some roles must deepen their understanding of AI uses, while others mainly need to know how to interpret and manage its outputs.<\/span><\/p>[\/et_pb_toggle][et_pb_toggle title=\u00a0\u00bbHow can organisational debt related to AI be avoided?\u00a0\u00bb open_toggle_text_color=\u00a0\u00bb#E5554F\u00a0\u00bb closed_toggle_background_color=\u00a0\u00bb#FFFFFF\u00a0\u00bb icon_color=\u00a0\u00bb#F79699&Prime; toggle_icon=\u00a0\u00bb&#x3b;||divi||400&Prime; open_icon_color=\u00a0\u00bb#E5554F\u00a0\u00bb _builder_version=\u00a0\u00bb4.27.4&Prime; _module_preset=\u00a0\u00bbdefault\u00a0\u00bb title_text_color=\u00a0\u00bb#001F45&Prime; hover_enabled=\u00a0\u00bb0&Prime; border_radii=\u00a0\u00bbon|5px|5px|5px|5px\u00a0\u00bb border_color_all=\u00a0\u00bb#F79699&Prime; global_colors_info=\u00a0\u00bb{}\u00a0\u00bb theme_builder_area=\u00a0\u00bbet_body_layout\u00a0\u00bb sticky_enabled=\u00a0\u00bb0&Prime;]<p><span style=\"font-weight: 400;\">By aligning AI with existing practices, clarifying roles and responsibilities, and integrating feedback from AI projects into skills frameworks and training systems.<\/span><\/p>[\/et_pb_toggle][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"<p>AI use is expanding faster than skill development, creating a gap between what tools can do and what organisations can actually use effectively. Unstructured AI adoption creates organisational debt: tool stacking, fragmented practices, lack of consistency. Managing AI skills requires clear governance: who uses AI, for what, and with what level of autonomy. The challenge [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":3253,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[37],"tags":[36],"_links":{"self":[{"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/posts\/3270"}],"collection":[{"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/comments?post=3270"}],"version-history":[{"count":4,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/posts\/3270\/revisions"}],"predecessor-version":[{"id":3275,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/posts\/3270\/revisions\/3275"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/media\/3253"}],"wp:attachment":[{"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/media?parent=3270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/categories?post=3270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.klarahr.com\/blog\/wp-json\/wp\/v2\/tags?post=3270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}