3 things that caught our attention this week...
AI is often hailed as a game-changer for efficiency, but not so fast—research suggests it might do the opposite. A Harvard study found recruiters relying on high-accuracy AI tools performed worse than those using lower-quality ones. Why? The better the AI, the more humans eased off, falling into "social loafing." Instead of boosting productivity, AI can lull teams into over-reliance, dulling critical thinking. The lesson? True productivity requires thoughtful human-AI collaboration, not blind trust in the tech.
2. MicroStrategy’s Bitcoin Bet: High-Stakes, High-Reward
With Bitcoin hitting an all-time high this week, MicroStrategy’s bold, unconventional strategy is paying off. The stock has skyrocketed 451.5% year-to-date, cementing its place as one of 2024’s top performers. Using an aggressive convertible debt strategy, the company has raised billions to double down on its $18 billion Bitcoin position. Michael Saylor calls volatility a feature, not a bug, offering investors a high-stakes play on Bitcoin’s explosive growth. While share dilution and debt risks loom, MicroStrategy is rewriting the playbook on corporate crypto strategy—and winning big, for now.
3. Mega Grids: China’s Bold Bet on Energy Future
China’s ultra-high-voltage (UHV) grid is a jaw-dropping feat, moving renewable energy across massive distances with minimal loss. But it’s not all smooth sailing—coal still fills the gaps, costs are sky-high, and local needs sometimes get sidelined. For the rest of the world, the real takeaway isn’t just about going big—it’s about balancing ambition with flexibility. Can massive infrastructure solve renewable challenges, or do smaller, local grids hold the key to a greener future?
CEO & General Manager - Shadow Seller
3 个月Numero uno is a real threat. Humans are hard wired to be lazy. Some more than others. The other thing I’ve noticed is the temptation for “analysis paralysis”. There SO MUCH info you can get out that you can ask so many questions, such that I can see people talking themselves and their AIs to death. We shall see.