Archive · 4 Sep 2025
AI Spending Surpasses Past Tech, ROI Lags Behind
Companies are spending a lot of money on AI technology.
AI spending is outpacing earlier tech like cloud and SaaS.
Early versions of AI are working, but getting big results is taking longer.
This is because building and using AI is expensive, needing powerful computers and skilled people.
Also, to get the best results, companies need to have clean data and change how they do things.
Unlike earlier technology upgrades, rolling out AI across a whole company is a slow process of learning and adapting, meaning returns take more time.
Good news: AI costs are going down.
AI R&D spending surpasses earlier tech waves like cloud and SaaS.
AI currently accounts for 5-6% of enterprise tech spending.
Cloud and compute make up 50-60% of AI system costs.
AI ROI is less immediate than SaaS or mobile due to scaling complexities.
AI costs have dropped by up to 99% in 18 months.
- Who
- Enterprises, AI developers
- What
- Enterprises are spending record sums on AI, but ROI is slower than previous tech shifts (cloud, SaaS).
- When
- Recent years with projections into 2030.
- Where
- N/A
- Why
- High upfront costs, data structure gaps, and the need for process changes slow down ROI.
- Current Enterprise Tech Spend
- $4-4.5 trillion
- AI/GenAI Tech Spend
- 5-6% of total
- Expected AI/GenAI Spend by 2030
- 8-10%
- Cloud & Compute Cost of AI Systems
- 50-60%
- Talent Cost
- 15-20%
- Top AI Talent Salary
- $100-200 million annually
- AI Cost Decrease (18 months)
- Up to 99%