back
Get SIGNAL/NOISE in your inbox daily
Artificial intelligence is boosting efficiency in many organizations, but too often it reinforces functional silos rather than breaking them down. Departments adopt AI tools independently, generating fragmented gains that don’t add up to strategic impact—and can even conflict with one another. There are three common pitfalls. First, the “technology-first” trap, in which departments deploy AI solutions without linking them to enterprise goals, creating disconnected fixes. Second, duplication and contradiction: when separate data sets drive opposing conclusions, as in one bank where risk management flagged customers as too risky even as marketing targeted them for growth. Third, undershot targets: isolated AI wins don’t translate into overall customer satisfaction or competitiveness. To counter these risks, leaders should build a “hub and spoke” AI Center of Excellence, anchor AI use to shared enterprise purposes, and incentivize cross-functional collaboration with collective KPIs. Done right, AI can unify organizations and drive transformation.
Recent Stories
Jan 19, 2026
App Store apps are exposing data from millions of users
An effort led by security research lab CovertLabs is actively uncovering troves of (mostly) AI-related apps that leak and expose user data.
Jan 19, 2026Stop ignoring AI risks in finance, MPs tell BoE and FCA
Treasury committee urges regulators and Treasury to take more ‘proactive’ approach
Jan 19, 2026OpenAI CFO Friar: 2026 is year for ‘practical adoption’ of AI
OpenAI CFO Sarah Friar said the company is focused on "practical adoption" in 2026, especially in health, science, and enterprise.