Forrester’s Top 10 Emerging Technologies For 2026: AI Is No Longer Confined To Digital Workflows - iTWire

· Source: artifical intelligence via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Robotics & Autonomous Systems · Depth: Fundamental Awareness, short

Summary

Forrester's "The Top 10 Emerging Technologies In 2026" report identifies a significant shift in AI, moving from purely digital applications to real-world physical environments. This transformation is already impacting consumers through robots, vehicles, and ambient experiences, changing how people communicate, work, and shop. The report categorizes these technologies by their benefit horizons: short-term (delivering benefits within two years), medium-term (two to five years), and long-term (longer than five years). Key short-term technologies include agentic commerce and AI security, while medium-term innovations feature agentic software development and humanoid robots. Quantum computing is highlighted as a long-term technology with potential breakthroughs in optimization and materials science, though broad commercial value is still years away. This framework helps enterprises prioritize technology investments based on value, risk, and payout timelines.

Key takeaway

For VPs of Engineering and AI Product Managers planning technology roadmaps, this report underscores the need to diversify AI investments across different time horizons. Focus on short-term agentic commerce and AI security for immediate returns, while allocating resources to medium-term agentic software development and humanoid robots, and making strategic, long-term bets on quantum computing, despite its distant commercial value. Your investment strategy should balance quick wins with foundational, higher-risk innovations.

Key insights

AI is transitioning from digital workflows to physical world applications, driving consumer and enterprise transformation.

Principles

Method

Forrester categorizes emerging technologies into short-term (0-2 years), medium-term (2-5 years), and long-term (5+ years) benefit horizons to guide investment prioritization.

In practice

Topics

Best for: VP of Engineering/Data, AI Product Manager, Product Manager, Executive, CTO, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.