Forrester Research (Nasdaq: FORR) published its annual Top 10 Emerging Technologies report on April 16, ranking technologies by their benefit horizon for enterprise adopters. The headline finding: “AI is no longer confined to digital workflows,” according to the official release.
The report categorizes technologies into short-term (delivering benefits to early adopters within two years), medium-term, and long-term horizons. Agentic commerce landed in the short-term category, meaning Forrester’s analysts assess it as already generating measurable returns for early adopters, not as a future bet. Physical AI and agentic software are named as the two forces shaping what consumers will experience next. Frontier models and AI security are designated as foundational to future innovation.
What “Agentic Commerce” Means at the Institutional Level
Forrester’s annual Top 10 report is a directional signal for enterprise technology buyers, VCs, and CIOs. When a Nasdaq-listed research firm with access to enterprise buyer data places “agentic commerce” in the short-term benefit horizon, it carries a different weight than a trend blog prediction. This is an institutional assessment that the market has arrived, not that it’s arriving.
The “short-term” designation is specific: it means Forrester’s analysts found evidence of early adopters already seeing returns from agentic commerce deployments. This aligns with what multiple enterprise platforms have shipped this week: Salesforce’s Headless 360 (60+ MCP tools for coding agents), Pacvue’s autonomous commerce media agent for Amazon Ads, and SnapLogic’s AI Gateway for enterprise integration.
Physical AI: From Software to the Real World
Forrester’s framing that “AI is moving beyond software into physical environments, powering robots, vehicles, and ambient experiences” validates a shift visible in this week’s market activity. Skild AI’s acquisition of Zebra Technologies’ Robotics Automation division (April 15) and Antioch’s $8.5 million seed round for physical AI simulation tools both represent the physical AI deployment stack assembling in real time.
The “ambient experiences” language points beyond robotics to a frontier that hasn’t yet consolidated: agents embedded in physical environments through sensors and ambient computing rather than in dedicated hardware. Forrester treats this as a near-term consumer-facing wave, not a distant research project.
Frontier Models and AI Security as Foundational
The third pillar, frontier models and AI security as foundational to future innovation, tracks with the defensive investments announced this same week. IBM Autonomous Security and Artemis Security (both announced April 15) represent production-ready responses to the AI security threats Forrester identifies as structurally important. The report positions AI security not as a feature of individual products but as infrastructure that enables everything else on the list.