Research papers, insights, and frameworks from TALENT on demand. Explore our thinking on Strategic Workforce Planning, AI transformation, talent supply chains, and the future of work.
Research papers, presentations and OXYGEN use cases from TALENT on demand. Use the filters below to browse by type or topic.
Which mix of attrition, redeployment, retraining and restructuring reaches the target at the lowest human and financial cost? OXYGEN runs side-by-side scenarios on the real population, each path quantified in headcount, cost, timing and the workforce transactions it triggers.
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Translate a financial envelope into a workforce plan, not the other way round.
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Where the cost actually sits (mix, seniority, location, contingent share) and which levers move it without destroying capability.
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Stop the absurd pattern of hiring in one corridor while restructuring in the next.
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Whether the shortage is real or a sourcing-strategy problem, and which alternative supply channels close it.
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A common skill currency that survives organisational, cultural and geographic boundaries, and stays alive after year one.
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The foundation layer for every downstream process: planning, development, staffing, careers.
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A decomposition of jobs into tasks, usually because automation or AI questions are coming next.
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The currency drifted: too granular where nobody looks, too coarse where the business moved.
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How much of the paid capacity is actually productive: active versus bench, deployed versus idle, output where it matters.
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The ground truth beneath every other question on this page: what can this workforce actually do.
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Not a yearly survey score, but engagement connected to the populations that matter: is our critical workforce engaged, and where is disengagement about to become attrition.
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Beyond the leavers count: what leaves with them: experience, throughput, team stability, and how long until the organisation recovers.
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The dilemma every reorganisation creates: keep the history and freeze the taxonomy, or modernise and lose years of trend data. Most tools force the choice.
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A defensible number for the board: separation, replacement, ramp-up, lost knowledge and the productivity gap in between.
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Not the average attrition number, but who is leaving, from which critical populations, and what it will cost if it continues.
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People cannot see a path, so the best ones make their path elsewhere.
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Retirement waves and experience attrition are walking decades of tacit knowledge out the door on a knowable schedule.
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A representation target needs an arithmetic plan behind it, not an aspiration slide. OXYGEN simulates hiring, promotion and attrition flows by gender to show which target dates are achievable, at what intake rates, and where the pipeline genuinely constrains.
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The seniority pyramid, the skill mix or the span structure no longer matches how the business earns money.
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Where should which work sit, own centre or partner, and what does the transition really cost.
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The capability bill of materials for something that does not exist yet, and how fast it can realistically be assembled.
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What capability are we actually buying or losing, beneath the org charts, and what does integration or carve-out do to the plan.
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Move people from declining activities to growing ones faster and more humanely than fire-and-hire.
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The whole journey: from today's inventory to a named future state, with the waves, costs and risks in between.
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The classic SWP mandate: demand from strategy, supply from data, gap to action. OXYGEN's core discipline since v1.0: strategic demand capture, quantified supply projection, gap analysis and an action plan the operational levels actually execute.
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Demographic certainty over decades: retirement waves, generational renewal, long-cycle capability builds (nuclear, defence, infrastructure).
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The hardest governance problem in SWP: strategy lives in years, budgets live in quarters, and the two never meet.
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The meta-question behind every SWP mandate: prove that planning pays before we invest in it.
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A methodology anxiety: teams either build one plan and call it strategy, or drown in dozens of scenarios nobody compares.
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The CISO's veto: workforce data at full depth reveals strategy, and multi-tenant SaaS is a non-starter for defence, utilities, public sector and sovereignty-conscious boards.
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The scar tissue speaking: they have seen SWP initiatives become "une usine à gaz": multi-year builds, consultant armies, models nobody could maintain after the programme ended.
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Which people and roles, if lost, would actually stop the business, as opposed to who is senior on the org chart.
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The honest lead time from decision to productive capability, which is the number every business case quietly invents.
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A fast, surgical answer for one scarce capability, not a planning programme. OXYGEN compares every supply channel at once, ranked by time-to-relief: internal adjacents who can be upskilled fastest, external market reality, borrowing and automation.
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Which populations first, what changes in their roles, and how to plan the transition rather than announce it. OXYGEN's task-level exposure analysis shows where AI augments versus automates, then plans the waves, reskilling and redeployment.
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A defensible, task-by-task automation assessment for a specific group, usually with a works council reading over your shoulder.
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A maturity measurement: how far along are we actually, compared to where we think we are, and what is the next credible step.
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An honest baseline before the journey starts: where we actually stand versus where the board believes we stand, and what to fix first.
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Below the org chart: which jobs morph, split, disappear or emerge, and in what order the organisation gets from here to there.
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The test of any platform: what happens when the use case is genuinely new.
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Five executive briefings distilled from the front line of the AI conversation. From geopolitical context to board-ready decisions. Start with any lens, read all five in an afternoon.
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Most organisations ask "how much AI?" The right question is "which archetype of transformation fits us?" A visual framework for mapping your organisation's AI transformation path across three distinct archetypes.
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Five toolboxes to help you decide which transformation strategy fits your situation, from individual task redesign to market-level intelligence. Pick the one that fits your current question.
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Nearly 1 in 5 job listings online doesn't actually exist. 93% of HR professionals admit to posting them. Here's what this means for your workforce strategy - and why planning from the inside out has never mattered more.
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When a capability gap appears, most organisations default to hiring. There are four options - and hiring is often the worst one. A practical framework for making smarter workforce decisions before opening a single requisition.
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Technical skills now expire in under 5 years - and some digital competencies in as little as 2.5. The economics of learning have fundamentally changed, and most organisations' L&D strategies haven't caught up.
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The biggest AI regulation in history takes full effect in five months. If your organisation uses AI in hiring, performance management, or scheduling, you are likely running high-risk AI systems under the Act. The clock is ticking.
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Only 1 in 9 organisations does Strategic Workforce Planning at a genuinely strategic level. Here is what separates the minority that does it well - and what it costs the 89% that don't.
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CEOs want everyone back. Employees disagree. And the data doesn't obviously support either side. Here is what the numbers actually show - and the question organisations should be asking instead.
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Despite widespread AI adoption, fewer than half of organisations are capturing meaningful financial benefits from their investments. The gap between AI leaders and laggards is rapidly accelerating.
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Gender diversity has become essential for business success, with balanced organisations showing higher innovation and financial performance. Many companies still struggle with pay gaps and limited female leadership representation.
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Modern workforces span diverse age groups, each bringing distinct strengths and needs. Without intentional planning, organisations risk losing knowledge, underutilising talent, or creating generational silos.
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Just as SAP revolutionised Supply Chain Management in the 1990s, OXYGEN transforms workforce planning today. Organisations now compete on how quickly they equip people with the right capabilities.
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In rapidly changing business environments, organisations can strategically redeploy internal talent to fill evolving roles rather than relying on external hiring or downsizing. A data-driven approach reduces costs and improves retention.
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Today's workforce spans four generations: Baby Boomers, Gen X, Millennials, and Gen Z. This mix creates both organisational strength and risk. Organisations can transform generational dynamics into strategic advantage.
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AI is rapidly transforming work at the day-to-day level. Meaningful change happens when employees themselves lead adaptation rather than waiting for top-down directives - emphasising individual empowerment and task-level innovation.
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The rapid advancement of artificial intelligence is reshaping the global workforce, altering job roles across every sector. This paper proposes a unified, cross-industry approach to job transformation that emphasises collaboration and shared responsibility.
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Strategic Workforce Planning is increasingly essential in today's dynamic business environment. This paper explores how organisations can overcome SWP implementation challenges through agile approaches, data-driven strategies, and tools like OXYGEN AI.
Read Paper →Explore our growing library of research, frameworks, and perspectives on Strategic Workforce Planning and the future of work - all hosted right here.