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Your Recruiter Is Now an Agent, Not a Search Box
LinkedIn's recruiting agent now reaches roughly $450 million in annualised revenue, and its AI screening interview is in testing, which means a growing share of Australian candidates are assessed by an audio or video agent before a human ever sees them. Here is the governance answer HR needs before enabling one: fairness, candidate notice and the record you must be able to produce.
The AI Delegation Charter Your Team Actually Needs
The honest conversation about AI and jobs fades the day after you have it. The follow-on that makes it real is a charter your team writes together, naming which tasks go to AI, which stay human, and when every line gets revisited. Here is how to build one, with two prompts, a Monday workflow and a checklist.
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Your AI Logs the Tokens. Not the Decision.
Your AI telemetry records what the call cost, not what the model was told or what it said. Every content attribute in the OpenTelemetry GenAI conventions ships opt-in, and the conventions warn the message content is likely to hold personal information. That is a privacy default, not an audit default, and the two pull in opposite directions. Here is the capture, redaction and retention decision nobody is being asked to make.
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AI Is Narrowing Your Team's Idea Pool. Only You Can See It.
Give everyone a capable AI and every individual idea gets better while the set of ideas gets narrower. Each person sees a stronger draft. Nobody sees the pool collapsing, because only the leader looks at the whole set. The evidence says the damage depends on where AI enters the process, which makes this a sequencing decision, not a restriction.
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Your AI Rollout Triggers a Clause You Already Signed
HR teams are rolling out AI tools as a productivity uplift and skipping consultation, reasoning that nobody is losing a job so no duty arises. The clause says otherwise. The trigger is a major change to technology likely to have a significant effect, and significant effect expressly includes a major change to the skills required and the need to retrain. Here is the trigger test to run before go-live.
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Agentic Trading and the Purpose Problem
In REP 835, ASIC published the gap in its own enforcement model: agentic trading systems are hard to assess through traditional notions of trader intent. Read as a hole in Australian law, that is imprecise. Our core prohibitions are drafted on effect, and the High Court has already said a sole or dominant purpose is not necessary. But purpose has not disappeared. It has moved to the people who deployed the system.
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Structured Outputs: Make Your AI Return Data You Can Audit
Most teams still treat an AI answer as prose to read and re-key. Structured outputs change that. You define a schema, the model is forced to fill it, and you get validated, type-safe data your systems can check. That makes an AI pipeline auditable, but schema-valid is not the same as true, so the human verification step does not go away.
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AI comparison table
The leading AI tools, scored honestly.
Four highlights below; the full table scores all five tools, including Microsoft Copilot, across six criteria with role-specific lenses. Updated when something actually changes, not every time someone ships a demo.
Anthropic
OpenAI
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AI Readiness Assessment
Find out where you actually stand, and exactly what to do next.
Two ways in. Take the quick check for an at-a-glance read on your role's AI maturity, or unlock the full assessment for a deeper diagnostic, a 90-day plan, and a Personalised Prompt Pack.
Quick check (15 questions)
A 5 minute pulse on your role's AI readiness. Tier badge, one to two prompts, downloadable PDF. No email needed.
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A complete diagnostic across four dimensions. Radar chart, 90 day action plan, three to five prompt Personalised Prompt Pack with full setup, risk and rubric notes.
Start the full assessment →Workers Compensation & AI
Where AI meets the SRC Act, written peer-to-peer.
Practical guides, governance explainers, and ART case-law briefings. Written peer-to-peer for case managers, claims officers, and scheme advisors. Educational only, never legal advice.
Leveraging AI to assist dissecting the SRC Act Review.
A practitioner workflow for employers to dissect the December 2025 SRC Act Review with AI tooling, end to end.
The De-Identification Toolkit for Case Managers Working With AI.
A practical de-identification framework for claim narratives before any retrieval call leaves your perimeter.
Take the WC Self-Assessment
Map your SRC Act practice capability, with AI leverage woven through. An educational self-reflection tool with a personalised PDF report: radar chart, 90-day plan, prompt pack, and risk heatmap.