A study of over 21,000 firms by Ramp's Chief Economist found that companies heavily investing in AI increase employment by 10%, including a 12% rise in entry-level roles. This suggests AI adopters are using the technology to go on the offensive and grow, rather than to cut costs and staff.

A Morgan Stanley survey of AI-adopting firms reveals a significant regional divergence. While globally these companies saw a 4% net job reduction over 12 months, US firms experienced a 2% net increase, driven by strong AI-related hiring that more than offset job cuts and attrition.

Contrary to the dominant job-loss narrative, a Vanguard study reveals that occupations highly exposed to AI are experiencing faster growth in both jobs and wages. This suggests AI is currently acting as a productivity tool that increases the value of labor rather than replacing it.

The primary business use of AI is not to cut costs by replacing workers, but to expand revenue by enabling the creation of more products and services. This productivity boom drives demand for more employees, particularly engineers, to capitalize on new opportunities.

Contrary to the job replacement narrative, a Ramp study of 21,000 businesses found that high AI adopters grew their headcount by 10% over two years, while low-adopters remained flat. This growth was even stronger for entry-level roles (12%), suggesting AI is a catalyst for expansion and creates demand for new skills, rather than simply cutting costs.

Contrary to the popular job-loss narrative, companies heavily using AI are growing faster and hiring more people to manage increased demand. Studies from Wharton and hiring data from platforms like Indeed show that AI tools create leverage, enabling new businesses and expanding existing ones, thus increasing the overall need for human workers in new or adapted roles.

Initial data from industries with high AI exposure shows productivity gains are driven by increased output, not reduced labor hours. This counters the common narrative that AI's primary effect will be immediate, widespread job displacement, suggesting a period of augmentation precedes automation.

Contrary to the narrative of AI-driven job destruction, roles considered highly vulnerable like software developers, paralegals, and radiologists have experienced substantial employment growth (7-20%) over the past three years. This data suggests AI is augmenting these professions rather than replacing them.

Contrary to the job-loss narrative, media company 'Every' found that intensive AI automation created more complex challenges and opportunities. This paradox increased the demand for human expertise, leading them to grow from 4 to 30 employees while becoming more AI-native.