Category: AI + Talent
-
AI, Talent Decisions, and the Context Crisis, Part II
Narrative Artifacts and the Illusion of Precision In the first article in this series, I suggested that AI in talent has crossed a threshold. It is no longer merely accelerating workflow. It is increasingly shaping decisions that determine access to work, advancement, and performance consequence. When systems begin to intermediate judgment, the standard of rigor…
-
AI, Talent Decisions, and the Context Crisis
There is a phrase I continue to see across the HR technology landscape. “Give us your job description. We’ll automate the rest.” Sourcing.Screening.Interview question generation.Fit scoring.Ranking.Scheduling. All operational in minutes. The promise is speed. The appeal is simplicity. The implied message is that complexity has been neutralized. (If HR professionals accept that message, it’s really…
-
From Strategy to Execution: Where Most Hiring Systems Break
Most organizations do not fail at strategy…they fail at translation. From startups to growth ventures and large enterprises, it’s a universal experience. Board decks are clear. Growth targets are defined. Value creation plans are documented. Yet somewhere between executive intent and frontline execution, alignment weakens. In PE-backed and enterprise environments, that gap most often appears…
-
The Hidden Execution Risk in PE Portfolios: Talent Decisions Without Context
Private equity firms are exceptionally good at identifying opportunity. They know where leverage exists, where costs can be removed, and where growth can be unlocked. Yet one of the most persistent execution risks across PE portfolios has little to do with capital structure, pricing strategy, or systems architecture. It is talent decisions made without context.…
-
What a System of Context Means for Hiring Managers
Most hiring managers never set out to become hiring experts. They are leaders, operators, and builders focused on delivering results through their teams. Hiring is something they do in service of that goal, not something they want to master as a discipline. Yet over time, hiring has become increasingly complex. Managers are expected to define…
-
The Hidden Cost of DIY AI in Hiring: Why Enterprise Teams Need a System of Context
AI tools have made experimentation easy. Across HR and Talent Acquisition, enablement teams are building simple AI agents using large language models like ChatGPT or Microsoft Copilot. These tools are fast, flexible, and often inexpensive to deploy at the outset. At first glance, this feels like progress. But as hiring teams move from experimentation to…
-
From Prompts to Platforms: Why Enterprise HR Needs a System of Context, Not Just a Chatbot
AI has made it easier than ever to automate individual tasks. A single prompt can aggregate and summarize lots of information in different formats within seconds and make mentally taxing efforts like generating role specific interview questions super simple. For many HR and TA teams, this initial experience with AI feels transformative. AND IT IS,…
-
How HR Data Gets Lost in Translation: Why Disconnected AI Tools Undermine Hiring at Scale
AI is now embedded in nearly every part of the hiring process. Talent teams use it to capture intake notes, generate job descriptions, screen candidates, summarize interviews, and even predict success. On the surface, this looks like progress. In reality, many organizations are discovering a new problem emerging beneath the surface: AI that operates without…