commerce

You have thousands of contacts across LinkedIn and your CRM. Each week a handful quietly signal they are ready to do business, but you cannot read them all. Agentico's AI agents sift the noise for you. So how many are ready to buy right now?

Amazon, Walmart, Shopify and Alibaba are deploying shopping agents, and 2025 quietly settled the standards letting them transact at scale. Brands optimised for clicks now must optimise for agents. So who owns the customer when an agent stands between you and them?

In 2025 Google released the Agent Development Kit and Agent-to-Agent protocol, the plumbing for assistants that search, compare and transact for users. Soon your customer isn't a person clicking a link; it's an agent. So how do you keep your service in the running?

Gartner says a third of enterprise software purchases will involve an AI agent by 2028, and machines are assumed immune to persuasion. We ran 8,000 trials across five frontier models. Which techniques work, which backfire, and what does that mean for selling to agents?

A new MIT and Harvard report reaches back to Coase's 1937 theory of the firm and Gale-Shapley matching to argue the real prize isn't automating old processes. The boundaries between firms and markets start to move. So where does that leave your competitive advantage?

Once agents start finding, negotiating and buying on our behalf, they become participants and the economy shifts. Drawing on MIT and Harvard research, this maps ten templates where new players and markets are emerging. The harder question: which is coming for your business first?

A year ago few had heard of agentic AI. Now Nvidia's Jensen Huang calls the opportunity 'gigantic' and 96% of executives told Accenture it is significant. Venture capital sees agents unseating SaaS. So where does that leave the software your organisation already runs on?

With Simon Torrance we mapped the agentic AI ecosystem into a three-tier stack: engagement, capabilities and data. Some layers teem with innovators; others are near-empty. But the foundational layer isn't a technology at all. So which capabilities should an enterprise in-source, and which buy in?

OpenAI has floated agents priced like a wage at $2,000/month, but if agents aren't people, why pay a salary rather than for results? Moving from SaaS subscriptions to variable, task-based pricing turns every employee into a manager of contractors. Are businesses ready to govern it?

Everyone argues about AI writing content. The bigger shift is AI now reading it: businesses deploy agent teams to search, rank and summarise thousands of pages, ignoring clickbait and pretty design. So what must marketers actually change when their audience is a machine?