AI now handles much of the execution work agencies bill for: first drafts, ad variations, research synthesis, reporting and personalized outreach. What it cannot do is own the strategy and answer for the results.
Most AI Rollouts Fail at Integration
Companies treat AI as a tool purchase instead of an integration project. Research from MIT’s Project NANDA found that most enterprise generative AI pilots showed no measurable profit impact. The ones that worked redesigned workflows, assigned ownership and measured outcomes.
Complex B2B Raises the Bar
Long cycles, technical products and buying committees need positioning, content and attribution that work as one system. AI speeds up each piece without connecting them, and generic output tells technical buyers you do not know their world.
Buyers Research With AI and Decide With People
Buyers fact-check AI output and trust peers, reviews and independent experts more than vendor marketing. Specific, named proof now matters more than volume.
What a Good Partner Looks Like
A partner worth paying for uses AI heavily, passes the efficiency on, puts senior people on positioning and accepts accountability for qualified pipeline instead of activity.
Where to Start
- Ask your agency how AI has changed its production.
- Ask what its senior people focus on now.
- Ask how it verifies AI-assisted work.
- Agree on the pipeline metrics it will be measured against.
This is a summary. The full article, with sources and examples, was first published on npws.net.