---
id: "action-reallocate-ad-spend"
type: "action-item"
source_timestamps: ["§ Shift 1: AI Recommendations Are Becoming More Influential"]
tags: ["budgeting", "generative-ai", "marketing-operations"]
related: ["entity-nordpay", "claim-ai-pull-over-ad-push", "contrarian-ad-spend-reduction"]
action: "Reallocate advertising budgets from external agencies to in-house generative AI production and always-on experimentation."
outcome: "Reduced agency spend (e.g., 25% reduction) and drastically shortened creative development cycles."
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-ext-11-llms-overtaking-search"
sourceUrl: "https://hbr.org/2026/03/llms-are-overtaking-search-heres-how-to-adjust-your-online-presence"
sourceTitle: "LLMs Are Overtaking Search. Here’s How to Adjust Your Online Presence."
---
# Reallocate Ad Spend to In-House AI

**Action:** Shift advertising budgets away from external agencies and traditional campaign-based advertising. Invest instead in AI-native recommendation channels and build **in-house generative-AI capabilities** (tools like Midjourney, DALL·E, Adobe Firefly) to accelerate creative production and lower cost.

**Proof point:** [[entity-nordpay]] cut advertising spend **11%** and agency spend **25%**, shrinking its image-development cycle from **six weeks to seven days**. This operationalizes [[claim-ai-pull-over-ad-push]] and is the essence of the contrarian move [[contrarian-ad-spend-reduction]].

**Outcome:** Reduced agency spend and drastically shortened creative cycles, plus positioning inside the AI-recommendation flow rather than fighting for traditional ad space.

**Caveat (enrichment):** The *direction* (more in-house AI, less standard-asset agency reliance) is widely observed and McKinsey-endorsed; the specific 25%/6-weeks→7-days ROI is case-specific and not broadly benchmarked.