CloudDon Signal Briefs

Asked when their organization expects AI agents to replace human workers, 95% of 525 respondents chose a timeline and 5% chose never. Few expect it soon: 5% say within two years, 30% two to five years, and 60% six to ten years. Expectations of replacement within five years are higher among organizations with 5,000+ employees (51%) and in software (52%), telecommunications (49%), and financial services (48%), against 12% in retail and manufacturing. Customer service is the function most often named for replacement, at 65%.

Asked what holds back AI agent adoption, 525 organizations put cost (68%), technical complexity (66%), employee resistance (61%) and data privacy (59%) at the top. Reliability and safety concerns rank sixth of seven, at 25% of the 471 respondents tabulated for that option. They peak at 29% among the largest firms and, among industries with N≥30, are highest in telecommunications (36%), healthcare (35%), and financial services (31%). Cost remains substantially more frequently cited in every company-size band and in those three sectors. We expect safety tooling to gain budget priority as production exposure increases.

Of 525 organizations surveyed in late 2024, 36% use AI agents. Those 188 agent users report using an average of 2.9 listed tools and platforms and 2.9 listed use-case categories. Separately, 52% report running five agents or fewer. At least 48% build on two or more of the three leading platforms: OpenAI (67%), Google Vertex (65%), and Microsoft Azure (64%). Among organizations with 1,000–4,999 and 5,000+ employees, average breadth is about the same, while the larger firms show greater agent depth and more custom-built platforms (32% against 11%). The survey shows broad multi-platform usage alongside relatively small agent fleets.