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AI is automating the low-level work often outsourced to channel partners. Simultaneously, AI increases the pace of innovation and the risk of inaction. This creates a new mandate for partners: they must deeply integrate AI into their offerings and strategies to stay relevant and help clients navigate heightened complexity, or they will be left behind.

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Beyond blockchain, the next innovation wave in channel operations involves autonomous AI agents managing the entire MDF lifecycle. AI can handle both "pre-campaign" tasks like budget allocation and partner activation, and "post-campaign" work like validation and compliance. This points to a future where AI makes "instant" the new operational standard for partner programs.

Flexport's CEO views AI not as an incremental improvement but as an existential threat and opportunity. For established, tech-enabled companies with significant manual processes, the choice is to aggressively use AI to automate everything and lead the industry, or risk being rendered obsolete by a more agile, AI-native competitor.

For incumbent software companies, surviving the AI era requires more than superficial changes. They must aggressively reimagine their core product with AI—not just add chatbots—and overhaul back-end operations to match the efficiency of AI-native firms. It's a fundamental "adapt or die" moment.

The competitive landscape for e-commerce brands is now defined by speed. Agencies still using legacy workflows are actively hindering their clients' growth. To remain valuable, agencies must adopt AI to accelerate experimentation and execution for their clients.

The immediate threat from AI is not automated job replacement, but competitive obsolescence. Professionals who refuse to learn and integrate AI into their workflow will be outcompeted and replaced by peers who leverage it as a tool. Adopting AI is a defensive necessity.

In the past, marketers focused on prioritizing the highest-performing channels. In an AI-driven world, the strategy shifts to building an interconnected system. The question is no longer 'which channel is best?' but 'how does each channel feed data into the next to make the entire system more intelligent?'

The current market leaves no room for mediocrity. SaaS companies are either at the forefront of AI, delivering jaw-dropping value and capturing new budget, or they are being displaced. Hiding behind long-term contracts is a temporary solution, as there is no longer a middle ground.

Similar to how "born in the cloud" MSPs disrupted the channel ecosystem, a new category of "born in AI" partners is now emerging. These specialized firms are built from the ground up to deliver AI solutions. Legacy partners must adapt by building or acquiring AI practices to compete with these new, highly focused players.

The future of technology sales, particularly AI, is not about selling infrastructure but about solving specific business problems. Partners must shift from a tech-centric pitch to a consultative approach, asking 'what keeps you up at night?' and re-engineering customer processes.

A bold prediction that service-based businesses, especially consulting firms, that do not fundamentally reinvent their delivery models and cost structures using AI will fail. The core value of many services is being automated, requiring proactive self-disruption to survive.

For Channel Partners, the Only Options Are Being AI-Forward or Becoming Obsolete | RiffOn