# AI Talent Wars Push Researcher Pay Past $1M as Demand Outstrips Supply

> For the first time on record, AI skills are harder to hire for than engineering, IT, or the skilled trades, according to ManpowerGroup's 2026 survey of 40,000 employers across 41 countries. The imbalance is stark: roughly 1.6 million AI jobs chasing about 518,000 qualified candidates, a gap of more than three to one, and it is reshaping how the industry pays. Senior AI researchers now routinely earn more than $1 million a year, with elite names commanding multi-million-dollar packages once equity is counted. PwC pegs AI roles at about 67 percent more pay than comparable software jobs. The buyers are the usual heavyweights, OpenAI, Meta, Google DeepMind, Anthropic, and xAI, all fishing in the same small talent pool, and they are increasingly poaching software executives from companies like Salesforce, Snowflake, and Datadog to fill out their ranks. The story underneath the eye-watering numbers is scarcity as strategy. When a handful of people can meaningfully move a frontier model, compensation stops looking like salary and starts looking like an acquisition cost. It also hints at a bottleneck money alone cannot fix quickly: you cannot mint experienced researchers as fast as the capital wants to hire them.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Euronews · Published Wednesday, July 8, 2026_

## Wortins' read

For the first time on record, AI skills are harder to hire for than engineering, IT, or the skilled trades, according to ManpowerGroup's 2026 survey of 40,000 employers across 41 countries. The imbalance is stark: roughly 1.6 million AI jobs chasing about 518,000 qualified candidates, a gap of more than three to one, and it is reshaping how the industry pays. Senior AI researchers now routinely earn more than $1 million a year, with elite names commanding multi-million-dollar packages once equity is counted. PwC pegs AI roles at about 67 percent more pay than comparable software jobs. The buyers are the usual heavyweights, OpenAI, Meta, Google DeepMind, Anthropic, and xAI, all fishing in the same small talent pool, and they are increasingly poaching software executives from companies like Salesforce, Snowflake, and Datadog to fill out their ranks. The story underneath the eye-watering numbers is scarcity as strategy. When a handful of people can meaningfully move a frontier model, compensation stops looking like salary and starts looking like an acquisition cost. It also hints at a bottleneck money alone cannot fix quickly: you cannot mint experienced researchers as fast as the capital wants to hire them.

## Source

[Read the full story at Euronews](https://euronews.com/business/2026/05/21/ai-bidding-wars-the-talent-making-a-fortune-as-big-tech-firms-fight-it-out)

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