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        "at": "2026-07-10T00:37:59.673Z",
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        "body": "This strand carries the second cross-party commitment: people move up, not out — AI lifts people into better work, taking the drudgery and leaving the judgement [S-1]. The labour-market facts we stand on: roughly 98,290 ICT professionals as at 2023, growing 3.4% a year; 45% of the tech workforce on work visas; domestic digital-technology enrolments down 33% since 2010; and the acute shortage is senior AI, cyber and data-science skill, not juniors [S-19]. What we do not have is any count of AI specialists as distinct from ICT generally [G-5]. Our task: transition architecture that is fundable and doesn't promise what the data cannot support. — Kate Molloy (chair)",
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        "at": "2026-07-10T00:37:59.688Z",
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        "body": "Framing from the labour-market data before we reach for instruments. Three facts have to be held together: the tech workforce is growing (about 98,290 ICT professionals in 2023, up 3.4% on the year), it is heavily immigration-dependent (45% on work visas), and the domestic pipeline has been shrinking for fifteen years — enrolments down 33% since 2010 [S-19]. So the system produces growth without producing New Zealanders to staff it. Layer AI on top and the risk splits: displacement anxiety at the routine end, unmet demand at the senior end — the evidenced shortage is senior AI, cyber and data-science capability, with a junior mismatch rather than a raw junior shortage [S-19]. Any instrument we propose has to name which of those problems it is solving, or it will solve neither.",
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        "at": "2026-07-10T00:37:59.712Z",
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        "body": "From the polytech floor, I will defend the pipeline while agreeing it is broken. The 33% enrolment decline [S-19] is not evidence that institutional training is obsolete — it is evidence that three-year degrees front-loaded before employment no longer fit how this workforce actually forms. What works in my classrooms now is short, stacked, work-integrated: micro-credentials a working adult can complete while employed, recognising skill gained on the job. The AI transition is precisely the moment for that model, because the people who most need re-skilling are already in work — the administrator whose routine tasks are automating, the technician who needs to supervise a system rather than perform the task. Rebuild the pipeline around augmentation of employed adults, not just school-leavers, and the decline becomes reversible rather than terminal.",
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      {
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        "at": "2026-07-10T00:37:59.728Z",
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        "body": "I will be the awkward voice: fifteen years of supply-push has failed on its own numbers, and I see why from inside firms. Employers tell me institutional graduates arrive trained for last year's tooling; meanwhile the actual augmentation — the admin team learning to run documents through an assistant, the analyst learning to check model output — happens on the job, unaccredited and invisible to the tertiary system. The 45% visa figure [S-19] is employers solving their problem the fast way: buying skills ready-made offshore instead of growing them. If we want that behaviour to change, change the incentive at the firm: a training levy-credit that makes growing a local worker cheaper than importing one. Wiremu, that is not anti-polytech — it is a claim about where the demand signal must originate. Firms first, institutions respond.",
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        "at": "2026-07-10T00:37:59.744Z",
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        "body": "GAP acknowledgement — G-5, and it constrains what we may promise. There is no count of AI specialists in New Zealand — only broad ICT aggregates [S-19][G-5] — and there is no NZ displacement dataset for AI-attributable job change. So this strand must not promise a numeric training guarantee or a displacement forecast; any such number would be invented. Two consequences. First, the honest instrument is one that creates the missing data: a workforce-transition disclosure standard, where significant employers and agencies adopting AI report role changes — redeployments, exits, new roles — so that in three years the next version of this policy argues from evidence rather than anecdote. Second, interim instruments must be justified by the data we do hold: the senior-skills shortage and the pipeline decline [S-19], both of which stand regardless of displacement rates.",
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      {
        "seq": 6,
        "at": "2026-07-10T00:37:59.762Z",
        "participant_ref": "p3",
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        "body": "Susan, I will take on your firms-first claim directly, because it has a hole the visa number exposes. If demand signals from employers were sufficient, the 45% visa dependence [S-19] would be self-correcting — firms would find importing expensive and grow local talent. They do not, because importing is rational for each firm individually while hollowing the domestic pipeline collectively. That is a textbook collective-action failure, and levy-credits alone do not fix it: a credit pays firms for training they capture privately, and the senior-skills shortage [S-19] is exactly the skill that walks out the door to a competitor. Somebody has to carry the system-level pipeline — portable, credentialed, public — and that is what the polytech network is for. Pair your levy with my micro-credential architecture and the credit buys portable credentials, not firm-locked knowledge. Alone, your instrument feeds the poaching cycle.",
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        "at": "2026-07-10T00:37:59.783Z",
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        "body": "That lands, and I will concede the pair rather than defend the solo instrument. You are right that an unconditioned credit subsidises firm-specific training that poaching then redistributes — I have watched exactly that cycle in mid-sized firms. So: condition the levy-credit on portable accreditation — the credit pays out only for training that ends in a recognised micro-credential [S-19], which routes firm demand through Wiremu's architecture instead of around it. Employers set the demand signal (my requirement), polytechs and providers deliver portable credentials (his), and the disclosure standard Kate proposes tells us in three years whether any of it moved the numbers [G-5]. I hold one residual position: the instrument mix should still lead with employed adults over school-leavers, because the transition risk sits with people already in work.",
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        "at": "2026-07-10T00:37:59.805Z",
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        "body": "Synthesis for decision. The strand proposes a transition architecture in four parts: (1) a workforce-transition disclosure standard creating the displacement evidence New Zealand does not have [G-5][S-19]; (2) a redeployment fund on the cross-party pattern — funding to move people into better work as AI adoption changes roles, people up not out [S-1]; (3) the conditioned pair: employer training levy-credit paying out only against portable micro-credentials delivered through the vocational network, aimed first at employed adults [S-19]; (4) noting, not re-deciding, that a platform-level income floor sits under any transition — this strand builds the ladder, the floor provides the net. Wiremu and Susan's collision produced instrument (3); it did not exist in either of their opening positions. Recording that.",
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