---
id: "action-offer-ai-incentives"
type: "action-item"
source_timestamps: ["§ 2. Ensure that performance evaluation and management systems are focused on output rather than input"]
tags: ["incentives", "upskilling"]
related: ["concept-clandestine-ai-use", "question-recycling-freed-time"]
action: "Offer direct incentives, such as time credits or learning stipends, to employees who achieve higher productivity through AI."
outcome: "Employees view AI as a career booster rather than a threat, accelerating adoption."
speakers: ["Tomas Chamorro-Premuzic"]
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-36-team-collaborate-with-ai"
sourceUrl: "https://hbr.org/2024/11/set-your-team-up-to-collaborate-with-ai-successfully"
sourceTitle: "Set Your Team Up to Collaborate with AI Successfully"
---
# Offer Direct Incentives for AI Productivity

**Action:** Offer direct incentives — such as **time credits** or **learning stipends** — to employees who achieve higher productivity through AI.

**How:** To encourage transparent AI adoption and continuous learning, provide tangible rewards to employees who successfully use AI to increase productivity. Examples: 'time credits' (letting them keep the time they saved) or 'learning stipends' to fund reskilling.

**Outcome:** Employees view AI as a career booster rather than a threat, accelerating adoption and neutralizing [[concept-clandestine-ai-use]]. The precise mechanics of reabsorbing freed-up time remain an open question — see [[question-recycling-freed-time]]. Supports pillar 2 of [[framework-5-ways-ai-collaboration]].
