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The precarious economic landscape facing artificial intelligence startups, noting that massive capital investment hides a lack of true profitability. Unlike traditional software, AI ventures struggle with staggering infrastructure costs that scale alongside revenue, making sustainable growth difficult. This environment has created a power imbalance where tech giants act as both primary investors and competitors, often absorbing smaller firms through "quasi-acquisitions" to bypass regulatory oversight. Consequently, the industry is bifurcating into niche survivors with specialized domain expertise and "zombie unicorns" burdened by unsustainable valuations. The author concludes that future success depends on solving specific vertical problems rather than simply chasing the hype of large-scale models. Future stability remains uncertain as intensifying antitrust scrutiny threatens the primary exit strategies for these emerging companies.