Editor's note
I spent the past week thinking about the impact of the Public Service Commission's Digital Reset Plan, which turns out to spend a surprising share of its 30 pages on people, capability frameworks, and a talent pipeline run from the centre. Canberra's workforce planners are already further down the same road. The market data says private employers are moving too, though not as far as some market talk suggests. This issue of the newsletter collects the evidence on both sides of the Tasman, then offers practical advice about what to copy.
The 60-second takeaway
Skills-based talent management has stopped being a theme and started appearing in system documents. The APS workforce plan names the move from role-based forecasting to a skills-first approach; New Zealand's Digital Reset Plan tells the GDDA to set capability frameworks and run a talent pipeline. In the market, 25% of Australian employers now put demonstrated skills ahead of career history, but only 55% of organisations map skills to jobs at all. One thing to do today: take your hardest-to-fill role and rewrite the ad without the qualification line. If nothing else in the process changes, you haven't gone skills-based, you've just gone quieter about credentials.
Tech talent intelligence
A real shift, in shallow water
Michael Page's Talent Trends 2026 research puts a number on the shift: 25% of Australian employers now prioritise demonstrated skills over career history and education when hiring, and another 61% weigh them equally. Roughly one in six plans to move to a skills-first approach, and among employers already hiring that way, 97% report clear benefits, mostly a sharper read on ability and cleaner assessment criteria.
The infrastructure numbers tell the same story at a slower speed. Mercer's Skills Snapshot Survey 2025/26 finds 38% of organisations running a single enterprise-wide skills library, up from 30% in 2023; 55% now map skills directly to jobs, up from 47%; and the average share of jobs with skills mapped has crept from 69% to 72%. So adoption is deepening, but nearly half of organisations still can't say which skills sit inside which jobs. This suggests that "skills-based" is mostly a statement of intent at this point.
Why the urgency now isn't mysterious. PwC's 2026 AI Jobs Barometer finds the skills required in the most AI-exposed jobs changing roughly twice as fast as in the least exposed, and its New Zealand analysis shows the most exposed quartile of occupations averaging 78 newly required skills per occupation since 2019, against 41 in the least exposed. NZ job ads asking for AI-related skills went from about 3,900 in 2024 to 9,600 in 2025, which represents 2.7% of all postings. Degree requirements are loosening at the margins too: PwC's 2025 barometer had degree stipulations in automation-exposed roles falling from 80% of postings in 2019 to 74% in 2024. My read: roles are being rewritten faster than qualification frameworks can follow, so employers are reaching for more direct measures of capability. The data supports that explanation, but it's analysis, not a survey finding.
Governments are writing it into the plumbing
The APS workforce plan under Australia's Data and Digital Government Strategy says it in plain language: the service has "a significant opportunity to transition from traditional role-based forecasting to a skills-first approach", built on frameworks like SFIA. It isn't starting cold. The APSC and DTA have defined skills profiles for around 200 roles in the Career Pathfinder tool, and the DTA is now upgrading it to SFIA version 9, reconsulting agencies and industry on the role definitions. The honest footnote sits in the DTA's 2024 workforce data pilot, which found agencies applying the frameworks inconsistently and struggling to produce reliable skills forecasts. Tooling exists; discipline varies.
Wellington's version arrived on 2 July, when Public Service Commissioner, Sir Brian Roche, released the Delivering Digital Government Reset Plan. It's mostly a delivery-and-governance document, but its people recommendations are the most explicitly skills-based language yet to appear in an NZ system paper: standardise the technology leadership and accountability model across agencies, close digital capability gaps, and have the reset GDDA set capability frameworks and manage a cross-agency talent development pipeline. It lands against a backdrop the government itself described in a September 2025 Cabinet paper, agencies procuring in silos and competing against each other for scarce digital skills. The direction matches Canberra's. The difference is that Australia has been building the tooling since 2020, and New Zealand is starting the capability architecture and the delivery reset at the same time.
This month's playbook
One job family, properly
Skip the enterprise-wide skills taxonomy programme, without the right tooling that could be a year of workshops before anyone gets hired differently. Take one job family, the one you struggle to fill at the moment, and rebuild it skills-first in a week or two. SFIA v9 gives you the same role-profile scaffolding both governments already use; and is behind a lot of the role descriptions in the practitioner profiles we maintain at www.talentjam.io.
- Inventory the work, not the CV. Sit with your two strongest performers in the family and list the skills the job actually uses in a normal fortnight. Ignore what the position description says; it was probably written for a different decade.
- Rewrite the role profile against SFIA levels (where you can). Express each requirement as a skill at a level, data modelling and design at level 4, say, and delete every degree line that doesn't map to a genuine licensing or regulatory need.
- Change the assessment before the ad. A skills-first advert screened by a credentials-first process selects the same people it always did. Add one short work-sample task and score it before anyone reads employment history.
- Wire the profile into development. The skills profile doubles as a development map for people already in the family. That's where the retention return appears, and it's the step that separates Mercer's mapped organisations from the ones just relabelling job ads.
Tools & signals
Worth your time this month
- Delivering Digital Government — Reset Plan (Public Service Commission, 2 July 2026). The governance recommendations got the headlines; HR leads should read it for the capability sections — standardised tech leadership roles and a cross-agency talent pipeline are workforce design decisions, not IT ones.
- APS Career Pathfinder (DTA). The SFIA 9 upgrade is under way, with role definitions being reconsulted across agencies and industry. The ~200 published profiles are freely reusable, including outside government.
- GCDO digital workforce guidance (digital.govt.nz, July 2025). New Zealand's official steer on building agency digital capability. Notably, it names skills-based routes (bootcamps, certifications, micro-credentials) alongside degrees as legitimate pathways.
- PwC 2026 AI Jobs Barometer, New Zealand analysis (June 2026). The country-level data behind this issue's skills-change numbers, in ready-made chart form for your next exec deck.
One question
If the qualifications line vanished from every job ad you run tomorrow, which part of your hiring process would break first: the screen, the interview, or the pay banding? Hit reply and tell me. The sharpest answers run (anonymised) next month.
Sources
- Michael Page, Talent Trends 2026 (Australia); as reported by ChannelLife Australia, 14 May 2026 — channellife.com.au
- Mercer, Skills Snapshot Survey 2025/2026 (2023 comparison figures from the same survey series) — mercer.com
- PwC, 2026 Global AI Jobs Barometer — New Zealand analysis, released June 2026 — pwc.com (PDF)
- PwC Australia, 2025 Global AI Jobs Barometer media release, June 2025 (degree-requirement trend, 2019–2024) — pwc.com.au
- Public Service Commission Te Kawa Mataaho, Delivering Digital Government — Reset Plan, released 2 July 2026 — publicservice.govt.nz (plan PDF linked from the release)
- Australian Government, Data and Digital Government Strategy — workforce plan, in-demand skills (includes the 2024 DTA Digital Workforce Data Pilot findings) — dataanddigital.gov.au
- Digital Transformation Agency, APS Career Pathfinder tool (SFIA 9 upgrade in progress) — apsprofessions.gov.au
- SFIA Foundation, SFIA skills profiles for around 200 APS Career Pathfinder roles — sfia-online.org
- Government Chief Digital Officer, digital workforce guidance, published July 2025 — dns.govt.nz
- TalentJam capability intelligence — talentjam.io