Browse our complete collection of articles on AI, technology, and business.
7 articles
The journey from a 2015 nonprofit vision to an $850B legal battle reveals the tension between idealism and capitalism in AI. What the OpenAI vs Musk trial means for business ethics.
Discover why traditional storefronts are disappearing. Learn how Agentic Commerce and LLMO optimization are reshaping e-commerce decisions forever.
AI reached 53% of the global population in three years, faster than any technology in history. But adoption is not adaptation. From AI-enhanced dating profiles to fabricated LinkedIn expertise, we are building versions of ourselves we have not earned. When 30% of dating app users use AI photos, and only 13% of schools have AI policies, the question is no longer what AI can do for us but what it does to us.
10,000 baby boomers retire every day. Each takes decades of unwritten operational knowledge with them, the kind no AI has been trained on. In mining, construction, and heavy industry, this isn't just a training problem. It's a $900 billion annual loss. Here's why current AI education fails, what a hybrid Human-AI training model could look like, and why the window to act is closing fast.
A skeptical CTO thought AI would replace him with a button. Five days and $140 in extra usage later, he became its fiercest advocate. This is the story of what happens when deep expertise meets AI amplification and why an old Persian proverb about warriors and armies is the most accurate description of Sam Altman's one-person billion-dollar company prediction.
A letter to the children who cannot yet vote, object, or consent about the autonomous weapons we normalized, the cures we chose not to build, the jobs we automated, the genes we may edit, and the planet we warmed. An honest accounting of what our generation chose to leave behind, and the irreversible inheritance we are creating at quarterly earnings speed.
80,000 tech workers were laid off in Q1 2026, half of whom were replaced by AI. Sam Altman predicts one-person billion-dollar companies. But the real opportunity is not in building unicorns. It is in gleaning the fields that industrial-scale AI cannot harvest. A stage-by-stage guide to the AI tools reshaping every phase of business, and why the most valuable grain is the one the combines leave behind.
