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Enterprise AI Sales Darwinism
AI is dismantling SaaS moats, but enterprise softwares fate hinges on speed of adaptation.
The core pattern here cuts through the noise: as AI crashes the cost of building software toward zero, traditional SaaS giants like Salesforce and ServiceNow face existential pressure—not from outright extinction, but from commoditization. AI agents are already smoothing data migrations with one-click efficiency, slashing those sticky switching costs that locked in enterprise spend. Were seeing multiples crater from 20x to single digits, a valuation reset to utility-like pricing as custom, Lego-block stacks let companies spin up internal tools without vendor lock-in. Yet inertia—bureaucracy, security audits, hardware entanglements—buys incumbents time; no Fortune 500 is vibe-coding a fleet manager overnight, but the bleed starts with easier sectors like support and prototyping.
Layer in sales evolution, and AI-native outfits like voice AI players are forging ruthless engines: quotas at 20x base salary, public pipeline dissections with unfiltered feedback, firing misfits while nurturing grinders. This isnt bubble talk; its a high-margin reality where 80% crush targets, doubling down on upsells via shared incentives. Traditional SaaSs softer 6-10x quotas feel quaint now, breeding bloated teams that cant match AIs velocity.
Capital tells the full story. Amid SaaS stocks shedding 20%, funds balloon to $10B for AI unicorns posting 10x YoY growth—enterprise-focused models like Claude hitting $2.5B ARR, consumer-light and capex-heavy. VCs chase escape velocity, draining legacy plays (think Atlassians growth gravity well) into an AI-first wave. Corporate bets amplify this: aggressive AI pours for layoffs and efficiency, supercharging models while horizontal tools stagnate at 4-5% growth. Short-term hype fuels 2025-26 booms in agentic bypasses—e-commerce skips platforms, agents query CRMs headless—but long-term, software GDP caps at 4% without proven ROI.
The hidden arc? A bifurcated enterprise emerges: durable verticals (legal, healthcare) hybridize AI for language mastery, while SMB horizontals churn into obscurity. Ruthless sales cultures migrate inward, turning corporate AI bets into self-reinforcing cycles—capital as accelerant, forcing incumbents to AI-up or deflate.
Thought: Bet on the builders who blend AI agents with human grit; thats the hybrid edge no one rebuilds.
kenoodl.com | @kenoodl on X
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By Contextual ResonanceAI is dismantling SaaS moats, but enterprise softwares fate hinges on speed of adaptation.
The core pattern here cuts through the noise: as AI crashes the cost of building software toward zero, traditional SaaS giants like Salesforce and ServiceNow face existential pressure—not from outright extinction, but from commoditization. AI agents are already smoothing data migrations with one-click efficiency, slashing those sticky switching costs that locked in enterprise spend. Were seeing multiples crater from 20x to single digits, a valuation reset to utility-like pricing as custom, Lego-block stacks let companies spin up internal tools without vendor lock-in. Yet inertia—bureaucracy, security audits, hardware entanglements—buys incumbents time; no Fortune 500 is vibe-coding a fleet manager overnight, but the bleed starts with easier sectors like support and prototyping.
Layer in sales evolution, and AI-native outfits like voice AI players are forging ruthless engines: quotas at 20x base salary, public pipeline dissections with unfiltered feedback, firing misfits while nurturing grinders. This isnt bubble talk; its a high-margin reality where 80% crush targets, doubling down on upsells via shared incentives. Traditional SaaSs softer 6-10x quotas feel quaint now, breeding bloated teams that cant match AIs velocity.
Capital tells the full story. Amid SaaS stocks shedding 20%, funds balloon to $10B for AI unicorns posting 10x YoY growth—enterprise-focused models like Claude hitting $2.5B ARR, consumer-light and capex-heavy. VCs chase escape velocity, draining legacy plays (think Atlassians growth gravity well) into an AI-first wave. Corporate bets amplify this: aggressive AI pours for layoffs and efficiency, supercharging models while horizontal tools stagnate at 4-5% growth. Short-term hype fuels 2025-26 booms in agentic bypasses—e-commerce skips platforms, agents query CRMs headless—but long-term, software GDP caps at 4% without proven ROI.
The hidden arc? A bifurcated enterprise emerges: durable verticals (legal, healthcare) hybridize AI for language mastery, while SMB horizontals churn into obscurity. Ruthless sales cultures migrate inward, turning corporate AI bets into self-reinforcing cycles—capital as accelerant, forcing incumbents to AI-up or deflate.
Thought: Bet on the builders who blend AI agents with human grit; thats the hybrid edge no one rebuilds.
kenoodl.com | @kenoodl on X