As AI makes marketing technology more accessible and interchangeable, strategic decision-making, publisher relationships, and partner management remain key drivers of affiliate performance

As artificial intelligence reshapes the marketing technology landscape, brands are reassessing their software investments and the value they deliver. In affiliate marketing, however, technology alone is not enough to drive growth. According to Adam Weiss of Awin, sustained performance depends on combining automation with the human expertise needed to manage partnerships and make strategic decisions.

Affiliate marketing can deliver strong returns, with some industry sources reporting returns of 12–15 times investment. Yet the channel is often treated as a low-maintenance activity that can be activated through a platform and left to run automatically. Weiss argues that this approach overlooks the complexity of affiliate ecosystems and the expertise required to manage them effectively.

The Limits of Automation

Marketing platforms help teams collect and analyze data, while AI can accelerate reporting and improve operational efficiency. But access to more data does not automatically translate into better decisions or stronger business outcomes.

Affiliate programs involve a diverse range of partners, including influencers, publishers, review sites, loyalty and cashback platforms, and technology providers. Each partner type operates differently, reaches distinct audiences, and may require tailored incentives and campaign strategies.

Managing these relationships requires an understanding of partner behavior, campaign objectives, and broader business priorities. While AI can surface performance trends, interpreting those signals and deciding how to respond remain important responsibilities for experienced teams.

The Specialized Skills Behind Affiliate Performance

In-house affiliate managers, agency partners, and platform specialists contribute different forms of expertise to program management. Working together, they can interpret performance changes, develop partner strategies, adjust incentives, and respond to shifting audience behavior.

Effective affiliate management also requires relationship building and collaboration across a network of businesses. These capabilities develop through experience and cannot be reduced to dashboard metrics alone.

As marketing software becomes easier to replicate, Weiss argues that the people operating these platforms become an increasingly important source of differentiation. Affiliate professionals serve not only as channel managers but also as analysts, advisors, and specialists who help translate activity into revenue.

Managing Affiliate as a Strategic Investment

High-performing affiliate programs require active investment decisions rather than passive monitoring. Brands must balance established partners that deliver consistent volume with experimentation involving emerging publishers and creators who may introduce new audiences.

This can involve refining commission structures, negotiating placements, testing partnerships, and responding to changes in market demand.

AI can support these activities by reducing manual work and accelerating insights. However, deciding which opportunities to pursue, where to allocate resources, and how to evolve a program over time requires strategic judgment.

Without that oversight, programs risk becoming overly predictable, relying on familiar patterns rather than identifying new sources of growth.

Publishers Are Strategic Partners

Publishers are another important part of the affiliate ecosystem. Treating them solely as entries in a performance dashboard can overlook their role in product discovery, audience engagement, and commerce innovation.

As AI changes how consumers search for information and discover products, publisher content is increasingly relevant to AI-driven discovery environments. Publishers’ first-party data and influence on purchase decisions can also contribute value to affiliate strategies.

Realizing that value requires active collaboration, negotiation, and long-term relationship management. These activities help brands understand partner capabilities and identify opportunities that may not be apparent from platform data alone.

Why AI Increases the Value of Human Judgment

AI is making marketing technology more efficient while narrowing the differences between competing platforms. As a result, the ability to use technology effectively is becoming a more significant competitive factor.

AI can identify performance trends, highlight publishers appearing in search results, and help teams analyze campaign activity. But assessing partnership quality, anticipating competitive changes, and aligning affiliate investments with wider business objectives involve additional context and judgment.

The broader reassessment of software spending, sometimes referred to as the “SaaSpocalypse,” does not mean marketing platforms are becoming irrelevant. Instead, their role is evolving as businesses look for measurable outcomes from their technology investments.

Weiss’s central argument is that affiliate marketing success depends on the combination of capable platforms and experienced teams. AI can make those teams faster and more efficient, but people remain essential to managing relationships, shaping strategy, and turning affiliate activity into a sustainable growth channel.