Network marketing has spent two years in a holding pattern. Global direct selling revenue was essentially flat in the last reported year, younger recruits are harder to find, and the same corporate layoffs that push people toward flexible income are being justified by AI. Few people have a longer view of the industry than Shane Morand.
He co-founded Organo Gold in 2008 and, as Global Master Distributor, helped take it from zero to $1 billion in total sales across more than 50 countries in five years. Now he is launching the AI Avatar Framework and argues that AI will sort the industry the way email and video once did.
You’ve worked in network marketing for years. What has changed in the business recently that makes AI particularly relevant now?
The math on attention has changed, and AI is what lets a leader keep up. When we built Organo, a leader could get in front of a room and the room would show up. Now the room is a feed that refreshes every few seconds, and a distributor competes with every creator on the planet for the same thirty seconds. AI takes over the work that used to eat hours: recording, editing, scheduling, distributing. All of that can be handed off without handing off the person.
But I think the bigger opportunity is personalization at scale. In network marketing, people still want to feel that they are dealing with a real person, not a system. AI can take care of more of the repetitive work, so leaders don’t have to spend personal time on attracting the next leads. They can spend more of their time making the experience, service and relationships better. This increases customer satisfaction and allows for a higher transaction value. It’s not just about reaching more people — it’s about having more capacity to serve them well. That changes not only how fast a leader can work, but how many people they can genuinely stay connected with.
Which parts of the network marketing business could AI transform most significantly?
Duplication, because that is where the model always broke. Every dollar at Organo had to move through a person I had trained, and that takes months. A digital twin built from a leader’s own photos and a short video clip can hold the first ten conversations with a prospect, in that leader’s voice, at three in the morning, in a language the leader doesn’t speak. Follow-up is second place, because most distributors lose people between the first hello and the second message. Presentations are third. What stays with the human is the close, and the relationship after it.
There are already countless AI tools available to marketers. How do you approach using them as part of a broader business system rather than as individual tools?
I start from the bottleneck, never from the tool. A caption generator here and a scheduler there is how people end up with eleven subscriptions and the same workload. The framework runs the other way: you find the step that is eating your hours and put the avatar on it, with a person reviewing what goes out. And it doesn’t stop at your own twin. The same setup runs across a hundred avatars in your sales team, which is coverage no room ever gave you, and each of them learns from the algorithm and gets better at opening the next conversation. I go through the whole setup in my upcoming webinar on November 5, “Stop Losing Money on AI | AI Framework Webinar”. Seats are few, so grab one early; I post the date and any changes on my socials, so follow me there.
A lot of companies are turning to AI to cut costs and reduce headcount. From a business perspective, is that really where the biggest value of AI lies?
No. AI won’t replace those professionals. AI-powered professionals might replace the ones who refuse to touch it. And here is just one real case of it. Amazon, Dow, HP, and a dozen others have cut jobs this year while citing AI, and Ford then rehired 350 engineers because the tools couldn’t do the work. The World Economic Forum still figures AI will add more jobs than it takes out by 2030. The value sits in how much one person can now carry.
A lot of businesses are investing in AI but still struggle to turn those tools into real business results. What should MLM leaders be measuring to know whether their AI investment is actually working?
Hours and conversations. By my count, 78% of network marketers lose money using AI the wrong way, and almost all of them measure the wrong thing: posts published, followers gained, videos rendered. Measure how many hours a week a leader spends on visibility before and after the avatar. Measure how many qualified conversations reach a human and how long that takes. If the hours are not falling and the conversations are not rising within ninety days, the setup is wrong, whatever the tool costs.
Looking toward 2027-2028, what do you expect a successful AI-powered network marketing organization to look like compared with one operating primarily through traditional methods?
Thinner at the top, and a good deal wider at the bottom. A traditional organization has a few leaders who can present, and everyone else waits for them. In the AI-powered one, every leader is present wherever their twin is, in every market, and the humans spend their day closing and coaching. The traditional one will still be around in 2028. It’ll just be losing, the way companies that sat out email lost. I watched that happen once, and I’d rather my people were on the other side.
