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.

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.

Despite significant AI adoption, unemployment remains low because AI functions as a complementary tool, not a replacement. According to Anthropic's Head of Economics, AI amplifies what expert humans can achieve, broadens the scope of their work, and increases the returns to working with the technology.

Contrary to sensationalist interpretations, a high 'AI exposure' score for a job does not automatically mean displacement. Economists suggest it can mean the opposite, as AI acts as a complement. Highly exposed roles could see increased hiring, higher wages, and greater demand for complementary human skills, depending on demand elasticity.

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.

Contrary to fears, AI is acting as a supplement, not a replacement, for skilled professionals. For example, job listings for radiologists and coders have increased. AI handles mundane tasks, allowing experts to focus on higher-value work like diagnosis and creative problem-solving, thus boosting productivity and demand.

A study of 21,000 firms found that companies spending the most on AI actually grew headcount by 10% over two years, with entry-level roles growing even faster. This data directly contradicts the dominant media narrative that AI adoption is currently causing widespread job loss.

Contrary to initial fears, large companies are increasing hiring to complement AI systems, not replace workers. This reflects Jevons's Paradox, where efficiency gains from technology boost overall demand, leading to more employment, which is a "white pill" for the labor market.

Contrary to popular belief, AI adoption drives business growth so rapidly that companies often need to hire more staff to manage the increased demand. A Wharton study found the vast majority of enterprise leaders using AI planned to increase their human workforce, shifting the focus from job replacement to job transformation.