Apple spent $34.5 billion on R&D in fiscal 2024 — second only to Amazon globally. Yet internal testing revealed that Apple’s AI models “underperformed” against every major competitor.
The R&D Disconnect
| Metric | Value |
|---|---|
| FY2024 R&D Spend | $34.5 billion |
| Global R&D Ranking | #2 (behind Amazon) |
| Competitive LLMs Produced | 0 |
| Internal Testing Result | Underperformed vs all competitors |
Where the Money Went
- Apple Silicon: Industry-leading (successful)
- Services infrastructure: $109B revenue engine (successful)
- Project Titan (Car): $10B+ over decade (abandoned)
- AI/ML research: Fragmented, no frontier models
The Strategic Gap
The company that outspends nearly everyone on R&D produced zero competitive large language models. Meanwhile:
- OpenAI built GPT-4 with far less capital
- Anthropic built Claude with ~$4B total funding
- Google DeepMind built Gemini as a division
The issue isn’t money — it’s focus, culture, and strategic priority.
This analysis is part of a comprehensive report. Read the full analysis: Apple’s Post-Tim Cook AI Challenge on The Business Engineer.









