Public anxiety about artificial intelligence eliminating jobs is widespread, but it is sharply at odds with the labor market's actual behavior. According to a Pew Research Center survey of 3,488 adults published in August 2026, 71% of Americans expect AI to reduce jobs over the next 20 years, while only 5% expect it to create more. Yet the data on hiring and wages points in the opposite direction, revealing a shortage that is already reshaping compensation and recruitment strategies.
Jobs requiring AI skills grew 69 percent over the past year, compared with overall job market growth of just 9 percent, according to PwC's 2026 Global AI Jobs Barometer. That imbalance has produced a global shortfall: Global demand for AI-capable software engineers outpaces supply 3.2 to 1, leaving an estimated 1.6 million positions unfilled. The crisis, according to Acendeo, is not displacement but an inability to find qualified talent.
"Companies read the AI headlines and conclude they need fewer engineers," said Brad Webb, co-founder of Acendeo. "What they actually need is engineers who can get real work out of these tools. There are far fewer of those than there are open roles." The shortage is also driving up pay. PwC's report put the wage premium for AI-skilled workers at 62 percent, up from 57 percent one year earlier, making the cost of inaction increasingly steep for employers.
Acendeo argues that the fastest response is not coming from the United States. Generative AI enrollments across Latin America rose 425 percent, the steepest jump of any region, according to Coursera's 2025 Global Skills Report. "Every company tells me they cannot find these people," said Nelso Villamizar, Vice President of Strategic Operations at Acendeo. "The people exist. They are just not in the country where those companies are looking."
The urgency is underscored by job-posting data. LinkedIn ranked AI Engineer as the top-growing US job title in 2026, with postings up 143 percent year over year. That surge in demand, combined with a limited domestic supply, has pushed companies to look beyond traditional hiring markets. Acendeo recruits AI engineers, data engineers, and scientists across Latin America and places them within US engineering teams, where they work on the client's stack during US business hours. After a client describes the role, Acendeo presents pre-vetted candidates in 10 business days.
The company is incorporated in the United States, and the client's agreement is with that US entity. A single monthly fee covers the contract, payroll, benefits, equipment, and legal compliance, with no recruiting fee and nothing due upfront. Acendeo says clients save up to 40% against the fully loaded cost of hiring an AI engineer locally, and a free replacement is available any time after the first 30 days, no reason required. For companies struggling to staff AI initiatives, the model offers a direct answer to the talent gap. More information is available at https://acendeo.com/solution/ai-engineer.
The implications extend beyond individual hiring decisions. If the public continues to focus on job losses while employers face a 1.6 million-engineer shortfall, the mismatch could slow AI adoption, inflate labor costs, and widen the advantage held by companies that secure scarce talent. The wage premium for AI skills is already climbing, and regions such as Latin America are emerging as critical sources of supply. For US firms, the choice is not whether AI will change work, but whether they can find the people who know how to make it work.
