The Labs Are Eating Everything

2026-04-26 · Source: The Leverage · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Software Development & Engineering · Depth: Intermediate, extended

Summary

This intelligence brief details significant developments in AI and tech finance, including the simultaneous release of OpenAI's GPT-5.5 and DeepSeek V4-Pro. While DeepSeek V4-Pro is cheaper at \$3.48 per million output tokens compared to GPT-5.5's \$30, the analysis emphasizes that true AI value stems from the "harness" and application, not just token cost. A major trend is the vertical integration of model providers into SaaS sectors, exemplified by xAI's \$60 billion call option on Cursor, a coding AI with \$2.7 billion ARR but negative 23% gross margins. This deal provides xAI with coding data and Cursor with compute, bolstering SpaceX's \$1.75 trillion IPO target, which relies on a "Muskian Multiple." Additionally, Tim Cook's Apple legacy is assessed, crediting him for scaling the company to \$4 trillion via Apple Silicon, AirPods, Apple Watch, and a \$100 billion services division, yet critiquing product vision failures like Project Titan, Vision Pro, and unfulfilled Apple Intelligence.

Key takeaway

For executives overseeing AI strategy, recognize that AI's true value lies beyond raw model performance; focus on the integrated "harness" and application layer. Model providers are aggressively pursuing vertical integration into SaaS, posing a direct competitive threat to existing workflow solutions. You should proactively assess your organization's vulnerability to these vertical plays and consider developing proprietary AI capabilities or strategic partnerships to maintain control over critical workflows, rather than relying solely on third-party APIs.

Key insights

AI value depends on the model, its harness, and the application, not just token cost.

Principles

• Model providers are vertically integrating into SaaS categories.
• Coding models serve as a wedge for digital control.
• The "Muskian Multiple" reflects market bets on specific operators.

Method

Hapax observes organizational workflows to build custom, proactive AI agents, eliminating traditional setup processes.

In practice

• Evaluate AI models based on real-world task completion, not just benchmarks.
• Anticipate model providers integrating into your vertical SaaS domain.

Topics

• AI Models
• Vertical Integration
• AI Agent Development
• Tech Acquisitions
• SpaceX IPO
• Apple Strategy
• Valuation Multiples

Best for: CTO, VP of Engineering/Data, AI Architect, Executive, Investor, Director of AI/ML

Related on AIssential

• Up the Stack: How AI’s Escape From the Commodity Trap Risks Enterprise Lock-in — AI labs are moving up the stack to avoid commoditization of model inference, creating potential customer lock-in.
• Why AI Isn’t Killing SaaS Yet — AI is transforming software adoption and pricing models, but the "SaaSpocalypse" is not supported by current business spending data.
• Software Finally Gets to Work: The Opportunity in Vertical AI — Vertical AI transforms software from assisting to executing, targeting labor costs and building compounding value through deep domain integration.
• The Coding Model Wars Have Begun — Coding AI models compete intensely, with reliability and strategic market positioning driving value in a rapidly evolving industry.
• Microsoft’s AI chief on the greatest game of catchup ever played — Microsoft is aggressively building proprietary AI models, chips, and integrated software to achieve cost leadership and deep product integration, aiming to surpass competitors.
• SpaceX wins big with Cursor — AI's future hinges on robust orchestration, strategic business models, and adapting to agentic commerce, not just frontier models.

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Leverage.