When organizations struggle to gain traction with AI, the problem usually isn't the technology. It isn't the budget, the strategy or the board. More often than not, it's that the people leading the organization haven't become practitioners themselves. AI transformation is personal before it becomes organizational, and until leaders embrace it that way, the rest of the business rarely follows.
The question isn't whether change is coming. It's whether we'll intentionally shape what comes next—or simply react to it.
Whether you feel ready or not, your job has changed. Every leader in every industry is now managing something they’ve likely never been formally trained on. We are all—at this moment—managers of AI, and just like that first promotion, success from here forward is going to look different.
Across the channel, companies and distributors are experimenting with AI-generated captions, graphics and social posts. The result is often more content—but not necessarily more productivity. In many cases, distributors sound increasingly similar, social feeds feel repetitive and audiences are becoming less responsive to templated messaging. The issue is not that AI lacks value. It’s that most organizations are applying it at the wrong stage of the distributor journey. The most important problem in direct selling is not content creation. It’s activation.
In 2025, several major dictionaries identified “slop” as a cultural word of the year—not in the agricultural sense, but as shorthand for low-quality, AI-generated digital output that floods channels with polished but ultimately hollow content. It is a signal of a broader shift: artificial intelligence is transforming communication at scale, and not all of that transformation is beneficial.
In today’s enforcement environment, compliance must be proactive, data-driven and scalable. Written policies and reactive enforcement no longer meet regulator expectations or support responsible growth. As regulators increasingly examine how compliance functions in practice, companies must demonstrate active oversight and continuous improvement.
Hosted by DSN Founder and CEO Stuart Johnson, the session focused on real-world application rather than theory—what leaders are already building, testing and learning as AI becomes embedded in daily operations.
AI is already making work faster, cheaper and more scalable. What’s less discussed is how quickly AI is eroding one of the foundational assumptions of modern society: that seeing is believing.
The gig model has become what Canadian communications theorist Marshall McLuhan might call digital serfdom—you work land you don’t own, while the algorithm plays landlord. Freedom at the front end; dependency at the back.
No longer a novelty, AI has become the non-negotiable “cheat code” for working smarter, faster and leaner as technology rapidly iterates. While the original generative AI could identify patterns and create content, the evolution of agentic AI can now execute multi-step processes autonomously, learn from its own mistakes and act as a bridge to other applications.
As more educated, ambitious and driven professionals become displaced by the proliferation of AI automation, these bright people will be looking for new opportunities where they can utilize their people skills and chart their own course. Many will be starting over, looking for a career that will value what they have to offer. One that won’t be suddenly rendered obsolete by technology.