The day South Korea's presidential office proposed turning AI windfalls into a universal dividend, Samsung's union was threatening to strike. That sat in the middle of three questions AI poses to society: unemployment first, then a deeper one—when work no longer defines value, what keeps people going?
Five years from GitHub Copilot to Claude Code. The more the direction proved itself, the harder life got for the earliest believers. Small models, workflows, standalone IDEs—foundation models swallowed them layer by layer. What remains sellable is clear; it just isn't software anymore.
A 60-person company banned overnight, a 110-person company whose accounts were blocked while API charges kept running, a Molotov cocktail thrown at Altman's home, Meta launching a token-burning leaderboard—the power issues of the AI era are now on the table. In this wave of redistribution, what should companies, nations, and individuals each hold in their own hands?
Make AI inference deployment as simple as installing an app. AIMA automatically detects hardware, selects optimal configurations, and deploys with one click, turning every machine into an AI inference node.
Say goodbye to SSH and manual troubleshooting. Connect devices with one command, describe requirements in natural language, and let the AI Agent automatically handle diagnostics, installation, repairs, and upgrades.
Compress 1 hour of Feishu app configuration into 5 minutes. One-click automation completes the entire workflow of app creation, permission configuration, and OpenClaw integration—let developers focus on products, not platform integration.
