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ManpowerGroup's 2026 Global Talent Barometer—14,000 workers, 19 countries—found that the more people use AI, the less confident they feel using it. Over half the global workforce reported receiving no recent training. But that's the general workforce. What about the industries that are actually good at this? The creative and tech industries are full of people who've been adopting new tools every few years for their entire careers. Tool fluency isn't just a skill for them. It'

More like the lights slowly coming up, the music fading, and someone quietly removing chairs from the room. GitHub Copilot announced this week it's moving to usage-based billing on June 1st. Anthropic's Opus multiplier jumping from 7.5x to 27x for annual subscribers. The platform absorbed the inference cost long enough to build your habits. Now they're done. This was always going to happen. The all-you-can-eat AI buffet was never a business model—it was a land grab dressed as

Building business plans, creative pipelines, team workflows and procurement strategies on a foundation made entirely of sticks. Cheap sticks. Subsidised sticks. Sticks that were never meant to hold the weight we put on them. This week GitHub Copilot announced it's moving to usage-based billing. Anthropic's Opus multiplier jumping from 7.5x to 27x. It won't be the last. The platforms absorbed the inference cost long enough to make you dependent. Now, one by one, they're pullin

I know it. Everyone who has worked with me knows it. That doesn't stop me. 𝗧𝗛𝗘 𝗠𝗜𝗥𝗥𝗢𝗥 𝗧𝗥𝗘𝗡𝗗 The trend this week is to build a digital mirror of yourself in AI. Train it on your writing, your voice, your decisions. A proxy that thinks like you, so you can scale yourself. There's value in that. But that's solving the wrong problem. Flip the paradigm, and you have something far more powerful! Most people prompt an LLM the way they already think. The question you as