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  <title>The Age of Decommission</title>
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  <description>Lead through AI and outsourcing with sharper judgment. Put deep research and delivery experience behind your next move.</description>
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    <title>AI crossed the border before your payroll system could name it</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Remote labour showed that work can move faster than the employment, tax and compliance systems built to contain it. AI use now crosses data and provider boundaries just as quietly, often through the same everyday desire to get the job done.</description>
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    <title>AI does not end offshoring. It removes the easy cases first.</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Offshoring was never simply a wage differential; it was a controlled transfer of bounded work, followed by a stubborn population of exceptions. AI is likely to compress that first layer and make the remaining coordination, quality and authority work more visible.</description>
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    <title>AI is not replacing the call centre. It is moving work into the exception queue.</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Deflection removes the cleanest contacts first and makes the remaining queue feel harder, angrier and more expensive. The human role changes from answering everything to catching the cases the system made consequential.</description>
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    <title>AI is the first offshore hire you did not have to requisition</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Global labour arbitrage required a talent search, a location and a durable operating model. AI offers capacity without any of those visible steps, which is exactly why its use can spread before anyone has priced its dependency or seen whose labour it displaces.</description>
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    <title>An agent does not fix a process. It inherits its exceptions.</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Putting an agent at the front of a broken workflow can make the breakage more fluent, not less real. Process automation has a stricter order: discover the route, standardise what can be standardised, design exception treatment, then measure value from case evidence.</description>
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    <title>An AI agent is a vendor even when it lives in your browser</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>A browser tab can feel like a tool, but it creates a firm boundary: another system holds the capability, data and rules. The old make-or-buy question has simply become easier to start and harder to see.</description>
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    <title>Automation does not remove the organisation. It redraws who absorbs the work.</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>A process can be automated while the organisation around it becomes more brittle: layers vanish, roles blur and the people left behind carry the unmeasured exceptions. The agent is a redesign event, not a headcount number.</description>
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    <title>Code agents recreate the offshore specification problem at machine speed</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Distributed development taught companies that a cheap hour cannot repair an unclear decision. Code agents make the feedback loop faster, but they do not make the product boundary, test evidence or operational ownership appear by themselves.</description>
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    <title>Every automation wave left someone holding the new edge. AI will too.</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Numerical control, enterprise systems and machine learning did not simply erase work; they moved the boundary between routine execution, supervision and exception handling. The current wave is new in capability, not in what organisations do with the people left at the edge.</description>
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    <title>Governance is not the opposite of shadow AI. Delay is.</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>The apparatus built for outsourcing has reasons to exist: escalation, change control, evidence and accountability. It fails when demonstrating that it exists becomes more important than delivering a safe route people can actually use.</description>
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  <item>
    <title>Human in the loop is not a job description</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>A person who glances at a model output is not necessarily a control. Computerisation’s employment record and human-AI research both say the real question is whether the human has time, evidence, authority and a meaningful way to disagree.</description>
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  <item>
    <title>Productivity is not proof that AI made the work better</title>
    <link>https:&#x2F;&#x2F;theageofdecommission.com&#x2F;articles&#x2F;productivity-is-not-proof-that-ai-made-the-work-better&#x2F;</link>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Output per hour can rise while quality, risk, workload and the distribution of gains move in the opposite direction. The productivity paradox is not a reason to dismiss AI; it is a reason to ask what exactly improved, for whom and against what baseline.</description>
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  <item>
    <title>RPA was also sold as augmentation, until the exceptions became the job</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>The last automation wave promised that bots would take the boring clicks. It did, sometimes; it also created fragile interfaces, reconciliation work and a human job defined by what the bot could not explain.</description>
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  <item>
    <title>Shadow AI is a measurement of how long the official path takes</title>
    <link>https:&#x2F;&#x2F;theageofdecommission.com&#x2F;articles&#x2F;shadow-ai-is-a-measurement-of-how-long-the-official-path-takes&#x2F;</link>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>The unauthorised flow is not a hero story and it is not proof that risk is imaginary. It is a precise signal that people found the sanctioned alternative too slow for work that could not wait.</description>
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  <item>
    <title>The AI pyramid has no juniors to train, and that is the problem</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>IT services built margins by turning supervised junior work into a delivery pyramid. If agents remove the bottom layer, they may also remove the place where people learned the system and where future seniors came from.</description>
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  <item>
    <title>The AI RFP cannot select for a future you cannot specify</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>A long scoring sheet can make uncertainty look governed without making it smaller. Vendor selection’s older discipline is useful here: compare what can be evidenced, keep assumptions visible, then learn in a controlled service rather than pretend the award settled the future.</description>
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    <title>The best AI candidate is not the task you hate most</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>The work people most want to hand away is often variable, politically loaded or full of exceptions. Automation selection begins with the actual case shape, not with a promise to remove whatever feels most tedious.</description>
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  <item>
    <title>The BPO seat did not disappear. It became a token meter.</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>BPO sold labour by the seat, then promised transactions and outcomes when automation squeezed the model. AI consumption pricing is the next version of that squeeze, with the same question underneath: who keeps the gain when the work takes fewer people?</description>
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  <item>
    <title>The contractor was the first version of staff augmentation. The agent is the next.</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Contingent labour let firms add capacity without adding a permanent colleague, but the work still needed supervision, boundaries and a route home. Agents promise a cleaner version of the same flexibility while making the hidden management work easier to deny.</description>
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  <item>
    <title>The exception queue is becoming a gig platform with an AI front door</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Platform work already taught firms how to turn irregular human judgment into dispatched tasks, ratings and variable pay. An AI front door can make that fallback labour even less visible while depending on it more.</description>
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    <title>The factory learned that variation is not a bug. AI is learning it again.</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Industrial automation paid for itself in stable repetition, then met the cost of changeovers, fixtures and unusual parts. Knowledge work has variation too; an agent that treats it as noise can turn a rare case into an expensive error.</description>
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    <title>The freelancer’s private AI stack is the unpriced subcontractor</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Independent professionals use the tools that protect their utilisation and their clients use the output that arrives. That makes private AI adoption a shadow-sourcing event: a second production layer neither party has properly priced, reviewed or named.</description>
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    <title>The KPO promise was never just cheaper thinking, and neither is enterprise AI</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Professional work can be moved only after a firm decides what it can standardise, inspect and retain. KPO’s history is the missing record behind the claim that AI will simply make analysts more productive.</description>
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    <title>The outsourcing saving only existed after the old costs left</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>The comforting number in an AI business case is often a capacity number pretending to be cash. Outsourcing already documented the difference between a lower supplier bill and a function whose duplicated systems, managers and exit risk have actually been paid for.</description>
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    <title>The shared-service centre is becoming an agent queue, and the chargeback will arrive before the saving does</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>The internal centre that once consolidated payroll and HR is the immediate precedent for an AI operations layer. It shows why a faster case is not yet a cheaper function.</description>
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    <title>The spreadsheet was the first shadow agent, and the office already taught us why</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Office automation removed narrow clerical tasks but made informal systems of record flourish around the official ones. The current shadow-AI surge is the same impulse at a more intimate scale: work moving to the place where it can actually get done.</description>
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    <title>The workforce plan is already being written by the agent</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Every deployment makes a claim about which capabilities will be needed, built, borrowed or no longer funded. If the organisation treats that claim as a productivity gain instead of a workforce scenario, the first surprise will arrive as a restructuring.</description>
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    <title>When an agent is wrong, the contract question comes back: who owns the loss and the way out?</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Agent output feels immediate until it changes a record, sends a message or releases money. Outsourcing contracts already know the unromantic questions that follow: evidence, service failure, exit assistance and data return.</description>
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    <title>Your AI pilot is making a make-or-buy decision before anyone admits it</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>The pilot is not a harmless trial if it gives a provider the context, data and operating role needed to become permanent. The older theory explains why a cheap experiment can become an expensive boundary decision.</description>
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    <title>Your model provider is not a toolbox. It is a firm boundary.</title>
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    <pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
    <description>Convenience can make concentration feel like integration. Vendor lock-in explains the later moment when data, workflows, people and recovery plans all depend on one provider’s choices.</description>
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