stack smarter ways of work
honest takes on AI and work. research-backed opinions on what's actually changing, what the data shows, and how humans and AI work best together.
The 29% Trust Problem: Why Your Team Won't Actually Use AI Tools (Even When You Mandate It)
Developer trust in AI code tools has dropped to 29% even as usage hits 84% — here's why mandating AI adoption backfires and what managers should do instead.
Vibe Coding Is Here: How AI Is Flipping Developer Roles From Creation to Verification
Vibe coding shifts developers from writing code to verifying it — here's what that means for your skills, your team, and whether this is progress or a slow deskilling.
The White-Collar Recession That Hasn't Happened Yet: Why Anthropic's Own Data Shows a 94%-to-33% Gap
Anthropic's 2026 labour market report finds AI could theoretically handle 94% of computer and maths tasks, but professionals only use it for 33% — here's what that gap actually means for white-collar workers and what to do about it.
The $285B SaaS Reckoning: When AI Makes Switching Costs Meaningless
AI-assisted custom tool building is eroding SaaS switching costs, threatening a $285B market and forcing every team to rethink whether their software stack is a competitive asset or an expensive habit.
Why Your Freelance Rates Just Shifted: The Economics of Independent Work in 2026
Freelance pricing pressure is rising in 2026 as more workers go independent, but solos who specialise in high-touch, revenue-driving work can still command stronger rates than ever.
The Rule of Two: Why Two Humans + AI Beats Fifteen People (And Why This Matters for Your Team)
Emerging research shows two humans working with AI can match or beat much larger teams — here's what that means for how you hire, structure, and manage work.
Deskilling Is Real, But It's Not Inevitable: How to Use AI Without Losing Your Edge
AI deskilling is real and measurable, but the teams building skills faster with AI share one trait: they treat it as a thinking partner, not an answer machine.
How Markdown Files Became the Control Layer for AI Tools
A practical guide to AI markdown configuration: how CLAUDE.md, cursor rules, and .github/copilot-instructions.md files work, what the research actually shows about their value, and how to write them so they help rather than hurt.
Meeting Summaries That Actually Stick: Why Auto-Transcription Alone Fails
Auto-transcription captures words but misses the point — here's how to turn meeting notes into action items, owners, and closed loops with your project tools.
84% of Engineers Report AI Productivity Gains — Here's What They Have in Common
84% of engineers report AI productivity gains, but the data shows they're gaining time in verification and review, not code writing — here's what separates the engineers seeing real results from those just feeling busy.
The 'AI-Free' Test Movement: Why Critical Thinking Skills Are About to Get Scarce
AI-free assessments are coming to hiring and promotion pipelines — here's what critical thinking skill atrophy actually looks like, what the research says, and how to protect your own thinking before someone tests it.
Custom AI Agents vs. ChatGPT: When to Build vs. When to Subscribe
A practical decision framework for choosing between a ChatGPT subscription and a custom AI agent, with real numbers on cost, ROI, and when each approach actually makes sense.
The Freelancer's Unfair Advantage: How AI Personalizes Faster Than Agencies Scale
Freelancers can now personalise client work faster than agencies can roll out new processes — here's why that's a genuine competitive advantage, and how to use it.
The Skills That Now Outpay AI Fluency (And You Already Have Them)
AI fluency pays well, but the skills hiring managers actually can't fill — judgment, ethical reasoning, and human collaboration — are becoming the real salary differentiators in 2025 and beyond.
Why Your Company's AI Pilot Is Stalling (And It's Not a Technology Problem)
Most AI pilots stall not because the technology fails, but because the organisation around it never changes — here's what's actually blocking your implementation.
The Competitive Intelligence Agent You Can Build in an Hour (And Why Your Competitor Hasn't Yet)
Learn how to build a competitive intelligence AI agent in under an hour that automatically pulls news, job postings, and competitor signals into Slack briefings, with a concrete step-by-step walkthrough.
Why AI Agents Are Winning Against Traditional Automation (And Why It Matters for Your Workflow)
Agentic AI is replacing traditional automation across enterprise workflows — here's what's actually different, what the real-world numbers show, and how to decide which approach fits your work.
AI Job Postings Up 340%—But Here's What Jobs Are Actually Being Created
AI job postings are rising fast, but the roles being created look nothing like traditional tech jobs — here's what the data actually shows and what to do about it.
McKinsey's 1.5M Hour Gain: How to Find Your Organization's Biggest AI Opportunity
McKinsey's internal AI pilot saved a large bank 1.5 million hours annually — here's the framework to find your organisation's equivalent bottleneck and size the real ROI before you commit.
Why Deep Work Is Disappearing (And How to Reclaim It When Every Tool Interrupts)
Deep work is disappearing not because AI is failing us, but because most people use new tools to add noise rather than protect attention — here's how to fix that.
The 60% AI Productivity Gain Is Real. What the Teams Achieving It Have in Common
Most teams quoting the 60% AI productivity gain never achieve it. Here's what the teams that do actually have in common, and what everyone else is getting wrong.