The rise of AI shopping agents acting on behalf of consumers will make the traditional marketing funnel obsolete. Customers will bounce between channels in unpredictable ways, guided by AI recommendations, making standard KPIs and attribution models increasingly difficult to track and rely upon.
The traditional marketing funnel of discovery, consideration, and conversion is being condensed. AI engines handle all three stages within a single conversational interface, moving the customer journey into a "black box" away from brand-owned websites.
As consumers delegate purchasing to personal AI agents, marketing's emotional appeals will fail. Brands must prepare for a "Business-to-Machine" (B2M) world where algorithms evaluate products on function and data, rendering decades of psychological tactics obsolete.
The marketing dynamic is shifting from influencing human emotions to communicating clear, machine-readable value to consumers' personal AI agents, which will increasingly handle purchasing.
As users delegate purchasing and research to AI agents, brands will lose control over the buyer's journey. Websites must be optimized for agent-to-agent communication, not just human interaction, as AI assistants will find, compare, and even purchase products autonomously.
With buyers completing nearly 80% of their research using tools like Generative AI before vendor contact, the linear funnel is dead. Traditional metrics like MQLs and SQLs are meaningless. Go-to-market strategies must be rewritten to influence buyers during their independent, non-linear discovery phase.
As both consumers and companies adopt personal AI agents, many transactions will occur directly between these bots without human involvement. This disintermediates the customer from the company, fundamentally changing the nature of CX and requiring new ways to measure success and reinforce brand value in a fully automated interaction.
AI is making buyer journeys non-linear and compressed. Instead of a linear funnel, GTM strategy must shift to a continuous, customer-centric "flywheel" model. Buyers conduct deep research upfront, making direct sales engagement optional for some and requiring an always-on, value-first approach.
The next phase of AI will involve autonomous agents communicating and transacting with each other online. This requires a strategic shift in marketing, sales, and e-commerce away from purely human-centric interaction models toward agent-to-agent commerce.
AI will fragment the customer journey across countless platforms, moving purchases away from brand-owned websites. Retailers must build systems to manage inventory and product information across this decentralized landscape, not just focus on perfecting their own site experience.
In AI interfaces, a brand's content can influence millions of purchase decisions without a single user clicking a link or seeing the source material. Key metrics must shift from traffic to influence, recommendation rates, sentiment, and share of voice within AI-generated answers.