▶Akhund consistently expresses skepticism about the current venture capital landscape, particularly regarding inflated seed-stage valuations in the AI sector, which he believes are overhyped [12, 15].Mar 2026
▶He holds a nuanced view on AI, believing it will unlock massive productivity gains while simultaneously causing inevitable and severe margin compression for AI application businesses that lack a strong moat [4, 14, 24].Mar 2026
▶His investment thesis is clearly defined by a preference for serial founders who have 'something to prove' over those who have already achieved a major unicorn exit [5].Mar 2026
▶He views the future of his own industry, fintech, as a convergence of the massive US banking market and the financial software market into a single, integrated offering [21].
▶Akhund expresses regret over the excessive dilution in Mercury's seed round [20], yet also acknowledges raising a Series B at a 'not rational' 120x revenue multiple, which he would do again, indicating a pragmatic but context-dependent approach to valuation and dilution [1].Mar 2026
▶He describes his biggest angel investing miss as passing on Scale AI due to the founders' young age [17], which contrasts with his current, more developed thesis of backing experienced serial founders, showing an evolution in his evaluation criteria [5].Mar 2026
▶There is a tension in his view of AI's impact on labor: he foresees AI boosting engineer productivity to the point of needing more engineers for more ambitious projects [24], while also predicting that AI businesses based on labor replacement will face a race to the bottom on pricing [4].Mar 2026
▶He notes that specialized fintech funds were hesitant to back Mercury's seed round due to perceived business model flaws [22], yet top-tier generalist funds like Andreessen Horowitz and later Sequoia invested with high conviction, suggesting a divergence in how his company was perceived by different investor types [19, 23].Mar 2026
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