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 biggest AI opportunities lie in replacing human labor costs, not just competing for existing software budgets. Gokul observes this shift happening in stages: companies first cut outsourced BPO spend, then freeze hiring for roles that leave, and only later resort to layoffs.

AI tools will drive higher refinancing volumes, increasing the total market size for mortgage originators. However, by making it effortless for consumers to compare offers, AI will also intensify competition. This price transparency will pressure the "gain on sale" margins lenders earn on each loan, pitting the benefit of higher volume against lower per-unit profitability.

While direct layoffs attributed to AI are still minimal, the real effect is a silent freeze on hiring. Companies are aiming for "flat headcount" and using AI to massively boost revenue per employee, a trend not captured in layoff statistics but reflected in record-low hiring plans.

While high-profile layoffs make headlines, the more widespread effect of AI is that companies are maintaining or reducing headcount through attrition rather than active firing. They are leveraging AI to grow their business without expanding their workforce, creating a challenging hiring environment for new entrants.

In labor-intensive service industries, growth is painful as it requires proportional hiring, yielding low margins. AI breaks this cycle by making existing teams 30-40% more efficient. This allows companies to scale revenue with high incremental margins, transforming their financial profile to resemble a software company's.

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.

AI is a key factor in the current labor market stagnation. Companies are reluctant to hire as they assess AI's long-term impact on staffing needs. At the same time, they are holding onto experienced employees who are crucial for implementing and integrating the new AI technologies, thus suppressing layoffs.

Companies are preemptively slowing hiring for roles they anticipate AI will automate within two years. This "quiet hiring freeze" avoids the cost of hiring, training, and then laying off staff. It is a subtle but powerful leading indicator of labor market disruption, happening long before official unemployment figures reflect the shift.