Ideas Weave Every Narrative with AI.
Meitu’s CFO reveals why the ‘LLM will eat the app layer’ narrative is wrong for visual AI. With 70%+ gross margins, self-trained models, and a strategy that embeds teams into local cultures, Meitu proves that subjective taste—not raw compute—is the real moat. A blueprint for AI startups terrified of being crushed by general models.
The real threat to OpenAI and Anthropic isn’t Chinese regulation or compute shortages—it’s that their own clients will bypass them entirely and use Chinese open source models directly. The middleman always gets squeezed out when the source becomes directly accessible. This is the classic platform disruption happening in real time, and the incumbents are in denial.
Stop chasing e-commerce ‘hacks’ that drain your budget. Scaling a store from zero to stable orders relies on a boring, repeatable framework: disciplined cost pricing, parallel A/B listing tests, and calculated ad scaling. If your pricing is a guess, your ad spend is just a donation. Learn the math that actually scales.
The current AI arms race is destroying big tech companies by draining their core businesses. The real survival strategy is to spin off AI ventures, let them raise independent capital, and become a venture capitalist rather than an operator. AI isn’t creating new wealth yet—just redistributing old wealth—so staying alive is the only winning move.
Market research hasn’t been about discovering truth for decades—it’s just corporate politics with a shiny PDF cover. With 70% of industry costs tied up in begging people to take surveys, AI-driven synthetic users trained on free social media data will collapse this bottleneck to zero, rendering traditional research skills obsolete.
Interior designers stuck in price wars aren’t failing on taste—they’re failing on positioning. By analyzing competitor weaknesses in content, service, and user adaptation, designers can adopt a niche strategy that turns them from a commodity into an irreplaceable specialist. This article breaks down four proven differentiation models using product-thinking principles.
Most user analysis is bottom-up data theater: endless cross-tabs that produce nothing. Real user analysis starts with a painful strategic choice—which users to serve and which to ignore. Without that decision, all your data is just noise.
AI has collapsed the software development cycle from years to months. Feature moats—once the bedrock of SaaS defensibility—now vanish faster than competitors can copy them. Real moats in the AI era aren’t beautiful code or clever UI. They are the silent, proprietary, deeply specific decision rules that turn a generic AI into an irreplaceable business brain.
China’s new data policy flips the monetization playbook: swap data instead of selling it. Five specific barter models let companies exchange data for data, services, models, orders, or scenarios—bypassing the endless valuation fights of cash transactions. The winners won’t be the best sellers; they’ll be the best barterers.
WPS’s recent PR crisis over charging and C-drive issues proves that in the short-video era, facts matter less than feelings. As the beloved software pivots to AI and paid enterprise models, it faces a brutal paradox: necessary monetization feels like betrayal to millions of free users. To survive, WPS must learn that emotional resonance is the ultimate business strategy.