Workforce Concerns May Be Slowing AI Voice Adoption in Collections, DROS Report Finds
Collection leaders may be interested in using artificial intelligence (AI), but concerns about how employees will respond could be slowing actual adoption.
That is one of the main findings from The Adoption Gap: State of AI in Collections 2026, a new field report from DROS.ai. The report looks at why interest in AI voice technology has not consistently translated into real-world deployment across collection operations.
Workforce Concerns Move to the Forefront
DROS based its findings on more than 25 open-ended conversations with agency owners, compliance leaders, and operations managers at the ACA International Annual Convention & Expo in Orlando in July 2026.
According to DROS, discussions about AI often began with compliance. Collection leaders raised questions about requirements under laws and rules such as the Fair Debt Collection Practices Act, the Telephone Consumer Protection Act, and Regulation F.
But the report says addressing those questions did not always move the conversation toward adoption. Instead, another concern often emerged: how existing employees, especially experienced collectors, might respond to AI being introduced into their work. Leaders worried that employees could view the technology as a threat to their roles.
DROS Points to Contact Coverage Instead of Job Cuts
The report also found that many operators were looking at AI primarily through the lens of labor savings.
DROS argues that collection organizations may be overlooking a different use for the technology: expanding contact coverage.
Instead of focusing on reducing staff, the report suggests AI could be used to reach accounts that existing teams do not have enough time or capacity to work consistently. Under that approach, AI would add contact capacity rather than simply replace work already handled by collectors.
That distinction could matter for organizations trying to build an internal business case for AI while also addressing employee concerns about what adoption could mean for their jobs.
Some AI Impressions May Be Outdated
DROS said many of the operators it spoke with were evaluating today’s AI voice systems based on experiences from two or three years ago. Some had previously tested conversational AI, were dissatisfied with how the technology sounded or performed, and had not reconsidered it since.
The report argues that those earlier experiences may continue to shape current decisions even as voice quality and latency have improved.
Inbound Calls Could Offer a Starting Point
For organizations that remain hesitant about wider deployment, the report points to inbound calls as a possible place to begin.
DROS identifies inbound overflow and after-hours coverage as lower-resistance uses for AI voice. These applications could allow organizations to test the technology in a more limited part of their contact strategy before considering broader use.
The report also argues that compliance should not automatically be viewed as a reason to avoid AI. DROS says properly designed voice systems can consistently follow approved disclosures and create records that can later be reviewed. These conclusions represent DROS’ assessment of the technology and should not be read as a guarantee that any particular AI system or deployment will meet legal requirements.
Findings Are Directional, Not Industry-Wide
The report comes with an important limitation.
DROS describes the research as qualitative and directional rather than statistically representative. The people interviewed were attendees who chose to visit the DROS booth and discuss AI, meaning they were already more likely to have an interest in the technology.
The findings therefore do not establish that workforce concerns are the leading barrier to AI adoption across the entire receivables industry. Instead, they highlight a pattern DROS observed among the collection professionals it spoke with.
Still, the report raises a different question for organizations considering AI. The challenge may not only be whether the technology is ready for the collection floor, but whether the people already working there are ready for how it will be introduced.
