Author: Naomi Chan
The gig economy was meant to be temporary. Fifteen years later, it has institutionalised. For workforce strategy in the late 2020s, contingent work is no longer optional to plan for — it’s central.
Two decades of flattening has eliminated the layer that actually makes large organisations work. The productivity, retention, and burnout data are now visible — and not what the theory predicted.
From the EU AI Act to China’s generative AI rules to state-level US action, AI regulation is becoming a fragmented but consequential reality. Here’s what business leaders need to navigate it.
Sustainable businesses are outperforming on revenue growth, margins, and capital costs. The green premium is real, measurable, and earned through operational substance — not communications strategy.
Doing Business in the Age of Sanctions: A Practical Guide to Navigating Geopolitical Risk
Sanctions have moved from the periphery of international business to the centre. For any company with global operations, compliance is no longer back-office — it’s a board-level strategic concern.
The IPO Window Reopens: What the Return of Public Markets Means for Founders, Investors, and the Startup Economy
After a three-year drought, the IPO window is reopening. The market that has returned rewards profitability, strong NRR, and clean capital structures — not growth at any cost. What founders need to know now.
Beyond AI: The Contrarian Founder’s Playbook for Building in a Market Obsessed with One Technology
Every VC is now an AI fund. Every pitch deck references AI. The contrarian founder — building seriously in categories the market is ignoring — has structural advantages that the current hype cycle obscures.
Seed Stage Is Broken: How First-Time Founders Without Silicon Valley Networks Are Getting Priced Out
Seed-stage valuations have risen sharply, AI is crowding out everything else, and warm introductions still dominate deal flow. First-time founders without established networks face a structurally harder fundraising environment.
The AI Valuation Bubble Question: Are 20–30x Revenue Multiples Justified or a Disaster Waiting to Happen?
AI companies are commanding 20–30x revenue multiples. Some are justified by genuine moats and market scale. Many are not. Distinguishing between the two is the most consequential investment question in technology right now.
The $300 Billion Quarter That Broke Venture Capital: What Extreme Valuations Mean for the Next Generation of Founders
OpenAI raised $40 billion at a $300 billion valuation. Sovereign wealth funds are writing cheques that traditional VC cannot match. For the next generation of founders, the implications are not straightforward.