Worth reading.
Curated reports, tools, and guides that complement what your report tells you. Open anything that catches your eye — these are the sources we go back to.
Guardrails
6 itemsGuidance for AI Adoption
Australia's current guidance for organisations using AI, replacing the Voluntary AI Safety Standard. Six essential practices — accountability, understanding impacts, managing risk, sharing information, testing and monitoring, and keeping humans in control — in a short Foundations guide and a fuller one for practitioners.
Privacy and commercially available AI products
The privacy regulator's guidance on using AI tools at work, including free chatbots. The short version: keep personal and sensitive information out of public AI tools, and check what a product does with your data before you adopt it.
National AI Plan
Australia's whole-of-government plan for AI — investment, skills, and keeping people safe, including a new AI Safety Institute from 2026. It adds no legal obligations of its own, but it shows where regulation is heading.
AI Risk Management Framework
The framework most enterprise AI policies are quietly modelled on. Worth skimming before you write one, so you're adapting something recognised rather than inventing from scratch.
ISO/IEC 42001
The international standard for an AI management system: what an organisation needs in place to use AI responsibly. The one to point to when a client or auditor asks how your AI use is governed.
EU AI Act Explorer
The Act in browsable form, by obligation and risk tier. Relevant well beyond Europe — if you sell there, or your vendors do, it shapes what they'll let you do.
Community
7 itemsHacker News
The first place serious AI news surfaces. The comments are often more useful than the article — that's the point.
One Useful Thing
A Wharton professor's running notes from teaching and researching with AI. Pragmatic, experiment-driven, and a steady antidote to both doom and utopia.
Simon Willison's Weblog
The most reliable running commentary on what these tools can actually do, written by someone who tests everything himself and shows his working. Start with the annual round-ups.
AI as Normal Technology
Formerly AI Snake Oil. Princeton researchers cutting through hype, calmly and rigorously — read this before believing the next viral claim.
r/LocalLLaMA
Where practitioners discuss new models, benchmarks, and tooling weekly. Technical-but-friendly and reliably a few months ahead of mainstream coverage.
Import AI
A weekly newsletter tracking frontier research and policy, written by a co-founder of Anthropic. Dense, and the fastest way to stay ahead of where the field is heading.
Latent Space
Long-form interviews with the people building AI products. Good for understanding how systems are put together in practice, rather than how they work in a paper.
Credentials
10 itemsAI for Everyone
The literacy starting point — non-technical, plain-language, taught by the person who made modern ML approachable for everyone else. About four hours.
AI Fluency: Framework & Foundations
A free, few-hour course on working well with AI rather than just knowing about it — what to hand over, how to describe the task, and how to judge what comes back. Certificate on completion.
Google AI Essentials
A short, genuinely beginner-level course on using AI at work — prompting, reviewing output, and where not to trust it. No technical background assumed.
OpenAI Academy
Free courses from OpenAI — AI Foundations, then Applied AI Foundations and Agents and Workflows — each with a certificate of completion. A friendly first step if ChatGPT is the tool you already use.
Generative AI with Large Language Models
A deeper look at how LLMs actually work and how to use them well. Some technical comfort assumed, but pays the time back many times over. ~3 weeks.
Anthropic Academy
Free hands-on lessons on prompting, tool use, and building real things with Claude. Short modules; one a week puts you in the top 5% of practitioners by quarter-end.
ChatGPT Prompt Engineering for Developers
A free one-hour short course on getting useful work out of LLMs through clear prompts. Best ROI per minute in the whole AI education landscape.
Microsoft AI Fundamentals (AI-900)
Free learning path culminating in a recognised entry-level certification. Light on theory, generous on Azure AI services. Real CV signal without a year-long commitment.
Elements of AI
A free, fully online intro to AI from one of the universities that quietly does the best AI education in Europe. Designed for the curious non-engineer.
AWS Certified AI Practitioner
A recognised foundational certification. Worth it mainly if your organisation runs on AWS or if a credential on the CV would actually change a conversation for you.
Toolbox
11 itemsClaude
A conversational AI tuned for careful reasoning, writing, and code. Often the stronger choice when nuance, instruction-following, or long context matters.
ChatGPT
The model most people meet AI through. A solid default for everyday tasks — brainstorming, summarising, drafting — and a good first stop if you're new.
Gemini
Google's assistant, and the one already sitting inside Docs, Gmail and Sheets if your organisation is on Workspace. Often the path of least resistance for a first real habit.
Perplexity
AI-powered search with citations. Replaces "Google, then read three blue links" when you want a synthesised answer you can verify.
Microsoft Copilot
The same argument for Microsoft shops — it reads the Word, Excel and Teams content you already have. Worth checking what your employer has licensed before paying for anything yourself.
Gemini Notebook
Formerly NotebookLM. Upload your own documents and ask questions of just that material. Excellent for briefing prep, literature reviews, and "what does our policy actually say?"
Cursor
An AI-native code editor built on VS Code. The single biggest productivity bump available right now if you write any code at all.
Claude Code
Claude working directly in your terminal and codebase — reading files, running commands, opening pull requests. The step past autocomplete, for people who already write software.
Granola
An AI notepad for meetings that listens, transcribes, and turns your sparse notes into structured minutes. Calmer than a recording bot — nothing joins your call.
Otter.ai
Live meeting transcription with AI-generated summaries and action items. Frees you to be present in the conversation instead of typing notes.
Zapier AI Actions
Wire AI calls into the workflows you already run — Slack, Google Sheets, your CRM. The fastest path from "I should use AI here" to actually doing it.
Reports
12 itemsFuture of Jobs Report 2025
The World Economic Forum's annual look at which roles grow, shrink, and reshape — and which skills become essential. The canonical "is my job changing?" reference for the next five years.
Our Gen AI Transition
The first national study of what generative AI means for Australian jobs. Its finding: AI is far more likely to change how work is done than to remove it — around 55% of tasks augmented against 13% automated — with clerical and admin roles most exposed.
Anthropic Economic Index
Anonymised data on how AI is actually being used across occupations and tasks — not what people predict, what they do. The closest thing to a live readout of which work is shifting first.
The State of AI
Annual survey of how organisations are actually using AI, where they're capturing value, and where the gap between ambition and outcome remains widest. Useful counterweight to vendor decks.
Work Trend Index
Microsoft's annual survey of how AI is changing the working day — adoption, hours saved, and the gap between what leaders think is happening and what staff report.
The Economic Potential of Generative AI
Estimates the share of work activities AI is likely to automate or augment across 850 occupations. The defensible number you cite when a board paper needs one.
Which U.S. Workers Are More Exposed to AI on Their Jobs
Survey data on how American workers think about AI in their own jobs — anxiety, optimism, and where they expect change to land first. Grounded in real people, not strategy frameworks.
Canaries in the Coal Mine?
Payroll data on where AI is already touching jobs. Employment for 22–25-year-olds in the most AI-exposed occupations fell about 13% relative to others, while experienced workers in the same jobs held steady. The best evidence so far on who feels it first.
AI Index Report
The annual benchmark book from Stanford. Model capabilities, costs, policy, hiring trends — everything you'd want to cite, with the chart you'd want to show.
Generative AI at Work
One of the first rigorous studies showing measurable productivity gains from generative AI in real workplaces (call centres). The empirical evidence base, not the hype.
OECD on AI and Work
Cross-country research on AI's effect on employment, wages, and skills. Useful when you need something more sober than vendor research to put in front of a board.
Trends — Artificial Intelligence
Mary Meeker's 340-slide read on how fast AI is being adopted, what it costs to run, and where the money is going. Heavy going, but the charts are worth borrowing for a board paper.
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