UPDATE: Self-learning AI agents are poised to transform Product-Led Growth (PLG) strategies, shifting from traditional human-controlled systems to fully autonomous AI-driven processes. As artificial intelligence continues to evolve, industry leaders like Mohit Agrawal, Head of Growth Engineering at a leading fintech company, are exploring how generative AI can drive unprecedented growth for businesses.
Agrawal emphasizes the urgency of this development, stating, “AI is changing the very nature of growth into a self-learning system; one that keeps on learning, adapting, and improving.” This shift means that companies can now leverage AI to monitor user behavior and conduct continuous micro-experiments without human intervention.
For over a decade, growth teams have relied on static funnels and predetermined A/B tests to guide users. However, Agrawal warns that this model is rapidly becoming outdated. “Instead of manually deciding what to test, smart agents can generate hypotheses and run experiments in real-time,” he explains. This adaptive approach enables businesses to personalize user experiences far beyond human capabilities.
AI’s potential extends to upselling strategies as well. Agrawal suggests that intelligent agents will recognize when customers are ready for an upgrade, automatically personalizing offers based on individual user behavior and financial status. “Upsells should not be perceived as selling – rather, they should be viewed as predicting your next step,” he asserts.
Moreover, AI is set to revolutionize paid marketing efforts. According to Agrawal, “AI will connect what occurs in the product and what occurs in the paid acquisition channel.” This means that generative models will create and test various ad versions in real-time, optimizing campaigns based on live performance data across platforms like Google, Meta, and TikTok.
In the near future, Agrawal foresees AI agents executing web experiments that enhance brand communication. “AI agents will be testing non-stop the way your brand communicates,” he states, indicating a shift from traditional A/B testing to hundreds of tailored versions that resonate with diverse audiences.
As businesses grapple with integrating AI into their growth strategies, Agrawal’s insights highlight a pivotal moment in the industry. The future of growth engineering will no longer rely on static dashboards or quarterly plans. Instead, it will evolve into a self-learning ecosystem that continuously adapts at every customer interaction.
“Growth will no longer be a quarterly plan but rather a continuous evolution,” Agrawal concludes. This transition represents a significant shift in responsibilities for growth leaders, who will move from controlling experiments to coaching intelligent systems.
As organizations race to harness the power of AI in product growth, the implications for market share and customer value are profound. With pioneers like Mohit Agrawal leading the charge, businesses are on the brink of a remarkable transformation in how they approach growth strategy.
Stay tuned for more updates as this groundbreaking trend unfolds. The integration of AI in product growth represents not just a technological shift but a fundamental change in how businesses engage with their customers.
