Organizations Deployed AI And Forgot To Deploy Accountability With It

InnovationOrganizations Deployed AI And Forgot To Deploy Accountability With ItByNacho De Marco,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 14, 2026, 06:00am EDTNacho De Marco is the CEO of BairesDev, an award-winning nearshore software outsourcing company, and the cofounder of VC firm BDev Ventures. getty​Over the past two years, companies have moved from unstructured AI experimentation to embedding AI across entire business functions—faster, in many cases, than the organizational thinking required to support it. As with every major technology cycle, the gaps reveal themselves after wide adoption. One of those gaps is accountability for AI outputs. When AI-assisted work produces a failure, a wrong decision or an output no one can stand behind, the question of who is responsible tends to land on the developer.Most organizations don't realize they designed it that way, intentionally or not. Developers are taking on accountability by default, through individual judgment calls and self-imposed workarounds, where formal guidance is limited or absent.We have data on this and daily visibility into how it plays out inside real teams, across real organizations and at scale.Why is accountability for AI-driven outcomes a solo sport?In Q1 2026, BairesDev surveyed 1,329 developers across 61 countries. Over half (51%) say accountability for AI-driven outcomes sits with them individually. Only 19% see it as a team responsibility.I think two forces explain this, and they're worth separating.The first is organizational. Most organizations are moving faster than their governance can follow. AI capabilities outpace internal assessment, and because of that, the frameworks meant to manage that risk tend to be layered on top of existing workflows.Executives are prioritizing AI as an investment, but accountability rarely mak...