# @themacrosift on Instagram

- **Type:** Image
- **Original URL:** https://www.instagram.com/p/DZnuJx7Sd_U
- **Gondola URL:** https://gondola.cc/posts/66910490-themacrosift-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/8b7d35fd61.jpg
- **Posted:** 2026-06-15T20:53:17.000+00:00
- **Account Owner:** The Macro Sift | Exponential Tech (@themacrosift) — https://gondola.cc/themacrosift

## Caption

The conversation around AI often assumes that companies are rapidly replacing human labor with machines.

This chart tells a very different story.

The median company spends just $11.38 per employee each month on AI.

Even among the top 10% of firms, spending reaches only about $611 per employee.

Meanwhile, the median software engineer earns nearly $16,000 per month.

In other words, most organizations are not investing in AI at levels that would support widespread workforce replacement.

What we’re actually witnessing is a massive testing phase.

A small number of companies are moving aggressively. The top 1% spend more than $7,400 per employee each month, indicating substantial investments in agents, infrastructure, cloud compute, and automation.

Everyone else is still experimenting.

That distinction matters.

Technology adoption rarely happens evenly. A handful of companies embrace a new paradigm early, gain productivity advantages, and force the rest of the market to catch up.

The most important takeaway may not be about labor at all.

It may be about infrastructure.

If AI adoption is still this low, then the systems that power AI agents, machine commerce, inference, data coordination, and digital labor could still be in the earliest innings of growth.

The headlines suggest we’re deep into the AI revolution.

The spending data suggests we’re still standing near the starting line.

Watch capital allocation, not predictions. Money often reveals the future long before narratives do.

#AI #AiAdoption

## Stats

- **Views:** 0
- **Likes:** 1
- **Shares:** 0
- **Comments:** 0

## Tags

aiadoption, ai

---
Copyright (c) Gondola