Resource Hub

Worth reading.

Curated reports, tools, and guides that complement what your scan tells you. Open anything that catches your eye — these are the sources we go back to.

Guardrails

3 items

Australian Government · DISR · 2024

Voluntary AI Safety Standard

Australia's ten guardrails for organisations using AI — governance, risk, testing, transparency, human oversight. The reference to cite when someone asks what good practice looks like here.

NIST

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.

Future of Life Institute

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 items

Y Combinator

Hacker News

The first place serious AI news surfaces. The comments are often more useful than the article — that's the point.

Ethan Mollick · Substack

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

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.

Substack

AI Snake Oil

Princeton researchers cutting through hype, calmly and rigorously. The grown-up newsletter — 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.

Jack Clark

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

8 items

Andrew Ng · Coursera

AI 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.

Google · Coursera

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.

DeepLearning.AI · Coursera

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

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.

DeepLearning.AI

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 Learn

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.

University of Helsinki · MinnaLearn

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.

Amazon Web Services

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 items

Anthropic

Claude

A conversational AI tuned for careful reasoning, writing, and code. Often the stronger choice when nuance, instruction-following, or long context matters.

OpenAI

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.

Google

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

Perplexity

AI-powered search with citations. Replaces "Google, then read three blue links" when you want a synthesised answer you can verify.

Microsoft

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.

Google

NotebookLM

Upload your own documents and ask questions of just that corpus. Excellent for briefing prep, literature reviews, and "what does our policy actually say?"

Anysphere

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.

Anthropic

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

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

9 items

World Economic Forum · 2025

Future 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.

Anthropic · 2026

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.

McKinsey & Company · 2025

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.

Microsoft · 2026

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.

McKinsey Global Institute · 2023

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.

Pew Research Center · 2023

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.

Stanford HAI · 2026

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.

National Bureau of Economic Research · 2023

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

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.

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