Honestly, I think this is exactly where execution roles become more valuable, not less. Yes, the tooling is getting smarter-HubSpot's predictive lead scoring, Marketo's engagement programs, even Meta's auto-placement algorithms-but none of them ask "why?". They optimise for the metric you give them, not the business outcome you actually need.
I've seen campaigns tank because nobody was watching the automation loop: a Marketo smart campaign that kept resending emails because the lead status field never updated, or a HubSpot workflow that fired on a stale property. The tool did what it was told. The problem was the data model underneath. That insight doesn't come from the platform; it comes from someone who understands the funnel, the data schema, and the edge cases.
A colleague once let an automated bidding strategy run unchecked for two weeks. Budget blew through because the algorithm saw high conversion rates on low-funnel clicks-great for ROAS, terrible for pipeline. Nobody caught it because everyone assumed "the machine knows best."
Automation handles the 80% case. The remaining 20%-the weird filters, the broken API connections, the campaign that accidentally targets the wrong audience-that's where human judgement is priceless. And as platforms abstract more away, that tacit knowledge becomes the moat.
