The internet was built for human interaction. The rise of autonomous agents shopping for products and services on our behalf signals the dawn of an 'agentic web.' This will force a fundamental shift in marketing and sales, requiring businesses to learn how to effectively market to and be discovered by AI agents, not just humans.

When developers use AI to code, the AI agent itself selects the underlying infrastructure like databases. This shifts the purchasing decision from human developers and central IT teams to the AI, fundamentally disrupting how the multi-trillion dollar enterprise infrastructure market operates.

A significant portion of B2B contracts will soon be negotiated and executed by autonomous AI agents. This shift will create an entirely new class of disputes when agents err, necessitating automated, potentially on-chain, systems to resolve conflicts efficiently without human intervention.

As users increasingly rely on AI agents, traditional graphical user interfaces will become obsolete. SaaS products must evolve to offer conversational interfaces that other agents can interact with directly. The primary user will shift from a human clicking buttons to another AI sending messages.

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.

The business model is shifting from selling software to selling outcomes. Instead of creating a tool and inviting users, create pre-trained agents that perform valuable work. Then, invite companies to a workspace where this 'team' of AI employees is ready to start delivering value immediately.

Agentic AI will evolve into a 'multi-agent ecosystem.' This means AI agents from different companies—like an airline and a hotel—will interact directly with each other to autonomously solve a customer's complex problem, freeing humans from multi-party coordination tasks.

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.

Jerry Murdock predicts autonomous agents will act as employees, making software purchasing decisions. This forces a fundamental GTM shift away from traditional sales cycles and toward consumption-based pricing models, where agents' software usage is managed like any other operational expense.