News & Insights
What's worth reading.
Curated intelligence from across the data and AI landscape — plus original thinking. No noise, no filler.
MarTech Consolidation Is Accelerating: What It Means for Your Stack
21 ownership changes in martech so far in 2026, up from eight in all of 2023. Here's what the consolidation wave means for your renewals, your contracts, and your data.
In a rush to lure AI companies, the Australian government risks undoing a creative ecosystem that has taken decades to build
The Albanese government's proposed copyright reforms would give US big tech unrestricted access to Australian and international content under an opt-out model — the creative sector is watching with alarm.
No Signs of AI Payoff Outside the Tech Sector
Despite heavy investment and widespread hype, AI has delivered zero financial payoff to corporate America outside of tech. Revenue per worker and profit margins are rising for the Mag 7 — but flat for the S&P 493. Can mainstream business turn cheap intelligence into real growth?
AI implementation isn't the hard part. Neither is integration. It's knowing what business you're trying to build.
Everyone's racing to implement AI. But the organisations that will actually win aren't the ones moving fastest — they're the ones who stopped long enough to ask the right question first.
Your data strategy isn't failing in delivery. It's failing in ambition.
Most organisations treat data strategy as an execution problem. They optimise pipelines, hire analysts, and buy better tools. But the real failure happens earlier — when ambition is traded for what feels safe to ask for.
Why Data Foundations Are Now a Board-Level Risk, Not an IT Line Item
Data debt has quietly become a strategic liability that deserves the same board-level attention as cybersecurity. Most boards haven't yet been given the language to see it.
Are Women Being Left Out of AI?
Harvard Kennedy School's latest report examines the growing gender gap in artificial intelligence — who's building it, who's being harmed by it, and what needs to change.
Agentic AI is coming for the org chart
McKinsey's latest research maps how agentic AI systems are beginning to reshape organisational structures — automating workflows, compressing management layers, and forcing a rethink of how work gets done.
The state of AI in 2025: Agents, costs, and the ROI question
McKinsey's annual AI survey finds adoption is up, but so is scrutiny. Organisations are moving from experimentation to accountability — and the pressure to show returns is intensifying.
Data quality is the silent killer of AI projects
Gartner's latest research quantifies what practitioners already know: poor data quality costs organisations an average of $12.9 million per year and is the leading cause of AI project failure.
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