[TL;DR Daily Pick] You thought AI would save us from endless work? Well, plot twist: in 2026, everyone from solo founders to corporate engineers is drowning in more work, not less. Turns out, when AI moves faster than you can learn, you don’t become more efficient—you just become permanently tired. Welcome to the era of the overworked, AI-powered human. 🤖💼 📌 One-Person Army, Fragmented Attention • The 'one-person company' trend is real, but it means you’re CEO, product, ops, customer support, and finance—at the same time. • AI helps you get more done, but also never sleeps, so work never really ends. Attention splinters; burnout becomes the new normal. 📌 Token Metrics: New KPI, New Pressure • At tech giants, engineers now get measured by how much AI compute (Token usage) they burn each month. • People intentionally inflate AI usage to prove value; some even train AI agents to mimic themselves—basically teaching machines to replace them. Performance review just got dystopian. 📌 Product Managers & Ad Agencies: The Never-Ending Race • AI PMs face a treadmill of learning—by the time you master one tool, it’s obsolete. Learning cycles shrink from years to weeks. • Ad folks now battle AI-written client briefs with AI, then manually tweak outputs to reduce the ‘AI rate.’ Productivity gains? Nope—just more work, more stress. 📌 Tech’s Double-Edged Sword: Efficiency or Exploitation? • AI’s efficiency is devoured by rising expectations and relentless KPI logic. Instead of liberation, tech amplifies workloads and anxiety. • Calls for policy intervention (like EU AI Act) grow: tech gains should be shared, not hoarded by capital or spent burning out humans. So, if you’re feeling like a cog in the AI machine, you’re not alone. Is AI amplifying human potential, or just squeezing it dry for one more quarter of growth? How do we reclaim the promise of technology—before the next update drops?