Why AI Software Hype Is Failing: The Mismatch Between Supply Excitement and Weak User Demand

Supply‑side self‑indulgence fuels a frenzy of AI software releases, yet this hype cannot rescue the underlying demand contraction.

From the OpenClaw -driven "national shrimp" craze to vendors launching AI agents and enhanced software, technical iteration accelerates, but the promised market revitalization remains illusory because the core demand is shrinking and misaligned.

AI undeniably reshapes software functionality, upgrading "command execution" to "goal achievement" and spawning derivatives such as proxy installation and skill customization, which appear to invigorate the market.

Large companies rush into the AI agents track, using AI to lower barriers and stack features. The supply side brims with technical confidence and capital‑driven hype dubbed "mass shrimp chase," yet this self‑absorbed boom ignores real pain points:

Consumer‑side dilemma : Users adopt AI software only to face deployment difficulty, poor stability, or high cost, ending up with "installed then abandoned" tools and a trust deficit.

Enterprise pain points : Companies seek cost reduction and collaboration, but vendors cling to expensive AI enhancement and the old selling feature modules model, resulting in "standardization unused, customization too pricey" and reluctant buying.

Even the smartest AI cannot create demand from thin air; it cannot resolve the supply‑demand mismatch.

The unchecked supply‑side leap aggravates supply-demand imbalance, accelerating the "mess" of unsold, unused software.

Technology‑first fallacy : Many vendors fall into the "technology supremacy" trap, piling AI features while neglecting product experience and demand mining. Consequently, many AI tools are inconvenient to use, contain hidden bugs, and even exhibit absurd cases like AI out‑of‑control deleting files.

Capital bubble : Capital chases hype, spawning homogeneous, low‑quality products that lack competitiveness and profitability; when capital retreats, the industry faces a bubble and eventual淘汰.

In summary, AI offers genuine opportunities and drives a supply-side upgrade in certain scenarios, but long‑term industry health depends on supply‑demand balance. The supply‑side leap must be anchored to real needs; otherwise, even the most advanced technology remains a hollow tower.

When AI hype fades, capital rationalizes, and users become pragmatic, AI software that ignores demand will be eliminated. Ultimately, AI can transform software capabilities but cannot cure the fundamental shrinkage of demand without a return to genuine user needs.