I run Plondo Network, a technology and marketing partner that builds software and runs programs for direct selling companies and small businesses. I did not start in software. I started in direct response marketing, selling satellite TV, home security, and smart home service over the phone and on doorsteps. I moved into technology after COVID, when the old playbook stopped working fast enough and I had to learn a new one in public. That background is why I am suspicious of anyone who tells a room of CMOs that AI will replace marketing judgment. It will not. But it is already replacing a lot of marketing labor, and every leader I talk to is still drawing that line in the wrong place.
The trend, and why the line matters
Every marketing team I work with now has some AI tool running somewhere, drafting copy, summarizing calls, tagging leads, generating image variants. The instinct is to treat this as a procurement decision: buy the tool, plug it in, done. That misses the actual question a CMO has to answer, which is not what can AI do but what am I willing to let it decide without me. Those are different questions, and confusing them is how brands end up with technically correct, publicly embarrassing output.
What AI should own
Execution work belongs to AI now. Drafting the first pass of an email sequence, producing ten headline variants for a test, monitoring brand mentions across channels, pulling weekly reporting together, transcribing and summarizing customer calls, flagging anomalies in spend or conversion. This is volume work, and a person doing it by hand is not adding judgment, only time. I moved our own reporting and monitoring to AI assisted workflows over the past two years, and the honest result is that our team now catches problems in days that used to surface in a monthly review, once the damage was already done.
What must stay human
Positioning decisions cannot be delegated. What your brand claims to be true, what tone it takes with an unhappy customer, what it says publicly about a competitor or a regulatory topic, these are judgment calls with legal and reputational weight, and they need a person who is accountable for the outcome. The test I use with our team is simple. If the output touches an actual customer relationship, or if it makes a public claim someone could hold us to later, a human signs it before it goes out. AI can write the first draft of that apology email. A person decides what we actually owe the customer and reads every word before it sends.
Three things I learned the hard way
First, AI drafts faster than your review process can catch mistakes, so the review process must get stricter as output volume rises, not looser. We learned this after letting an automated variant test run too long, with a message that was technically accurate but read as tone deaf to part of our list. Nobody caught it until customers did.
Second, AI is excellent at sounding confident about things it does not know, which is dangerous in marketing specifically, where confident and wrong is worse than honest and vague. Any claim about results, pricing, or performance that comes out of an AI draft gets checked against a real source before publication, no exceptions.
Third, the fastest way to lose the trust of a team in AI tools is one bad automated customer touch, because people remember that failure far longer than the hundred times the tool worked. We treat customer facing automation the way we would a new junior employee: useful, fast learning, still supervised until it has earned otherwise. We wrote a longer version of this thinking at https://plondo.com.
The part AI cannot manufacture
Here is where I land, after two years of watching this play out inside our own company and our clients. Brand trust is built from a pattern of choices a company makes when nobody is grading it, and every one of those choices requires a person willing to be accountable for it. AI can produce content at a scale no team could match by hand. It cannot decide what your brand is willing to stand behind when a decision is unpopular or expensive. That accountability is the actual product a marketing leader sells internally, and it is the one thing no model, however good, can generate on your behalf. The brands that keep that line intact will be the ones people still trust once the content of everyone looks the same.