AI could make quality education accessible to everyone. This chart highlights a global challenge: better education often comes at a higher cost, while affordability doesn’t always guarantee better outcomes. AI could change the equation with personalised tutors, adaptive learning, and tools that help teachers do more. The real opportunity isn’t to replace teachers. It’s to make better learning accessible to more people. At 10xme, we believe the same principle applies beyond education: AI should be practical, accessible, and powerful enough to multiply human potential. The future belongs to those who know how to work with AI, not just use it. 🚀 Learn to make AI that actually works for you. 👉 10xme.biz

AI Has a Spending Problem, Not a Technology Problem. “Most companies out there cannot find any bloody return on investment on AI.” That’s Broadcom CEO Hock Tan speaking at the DBS Asia Future Forward Conference, and I think he’s raising one of the most important questions in business right now. After billions poured into AI tools, infrastructure and experimentation, how many companies can genuinely say AI is transforming their bottom line? We are entering the era of AI accountability. For the past two years, companies have been racing to adopt AI. Employees are using ChatGPT. Teams are experimenting with copilots. Executives are approving AI budgets because they fear being left behind. But adoption is not transformation. Having 1,000 employees use AI doesn’t automatically make a company more productive. Buying expensive AI subscriptions doesn’t mean you’ve built a competitive advantage. And generating thousands of pages of AI content doesn’t mean you’ve created business value. The real question is: What has AI actually changed? • Revenue: Are you acquiring more customers or closing deals faster? • Productivity: Can your team deliver in hours what previously took days? • Costs: Are you reducing operational expenses without compromising quality? • Decision-making: Are you making better decisions with less time and better information? • Competitive advantage: Can you do something your competitors cannot? If you cannot answer these questions, you may be experimenting with AI rather than building value with it. Here’s where I believe the next opportunity lies. The winners won’t necessarily be the companies with the biggest AI budgets or access to the most advanced models. They will be the companies that redesign their workflows, rethink how work gets done, and integrate AI into the way their businesses actually operate. This applies to individuals, too. Learning how to write better prompts is just the starting point. The real advantage comes when you build AI-powered systems that research, analyse, create, automate and execute alongside you. That’s the difference between using AI and building an AI-powered operating system for your work. At @10xme_biz, this is exactly the shift I believe professionals and executives need to make: move beyond basic AI literacy and learn how to turn AI into measurable leverage. The AI gold rush isn’t over. But the definition of success is changing. The question is no longer how much AI you use, it’s how much value you create with it. What do you think? Are companies genuinely seeing ROI from AI, or are we still in the experimentation phase?