AI Efficiency and Potential for Channel Marketers
Is AI coming for marketing jobs or unlocking them? Akilah Murrell and Heather K. Margolis on agentic AI, predictive power, and what partners are asking for.
The short answer
- The first return on AI in channel marketing is efficiency: clearing repetitive production and analysis.
- The larger shift is predictive: anticipating which partners will move and on what.
- Partners are asking for direction and sequencing, not more content.
- Most vendor AI efforts are pointed at content generation, which is not the request partners are making.
The question channel marketers keep asking about AI is whether it is coming for the job. The more useful question is which part of the job it removes, and whether that part was worth keeping.
Efficiency first
The immediate return is boring and large: the repetitive production and analysis work that fills a marketer's week. That is where agentic AI is already reliable, and clearing it is what makes room for everything else.
Then the predictive part
The more interesting shift is being able to anticipate rather than react: reading signals about which partners are likely to move, and on what, before the quarter tells you. That changes what a marketer can plan for.
And what partners are asking for
Partners are not asking for more content. They are asking for direction: what to do, in what order, for which customers. That is a request agentic AI is well shaped to answer, and it is not the request most vendor AI programs are currently built around.
Questions this raises.
- Is AI coming for channel marketing jobs?
- It is coming for parts of the work: the repetitive production and analysis that fills the week. Clearing that is what makes room for strategy, and the marketers who lean into it tend to gain scope rather than lose it.
- What does agentic AI add beyond efficiency?
- Predictive capability: reading signals about which partners are likely to act, and on what, before results confirm it. That moves a marketer from reacting to planning.
- What are partners actually asking vendors for?
- Direction rather than volume: what to do, in what order, for which customers. Most vendor AI investment is pointed at generating more content, which is not the ask.