Amy Webb

Overview

Amy Webb is a futurist who appears in Marketplace Tech as both a technology forecaster and an AI-governance critic. The bounded sources cover her 2026 convergence forecast and her argument that AI safety requires accountable action, broadly accessible participation, and aligned incentives rather than manifestos alone.

Current Profile

Webb’s work in these sources connects technological possibility to institutional capacity. Her convergence forecast treats AI as an enabling layer across search, robotics, materials, and biology. Her governance argument applies the same systems lens to safety: rules and review processes should be judged not only by intent, but by whether they endure, operate across borders, and avoid turning compliance resources into an incumbent advantage.

Key Characteristics

• Forecasts technology through convergence across AI, physical systems, materials, biology, and internet behavior.
• Treats governance as an incentive-and-accountability design problem rather than a choice between manifestos and regulation alone.
• Tests safety proposals for unequal compliance burdens on startups and frontier incumbents.
• Uses cross-domain analogies, including biotechnology regulation and corporate oversight bodies, to evaluate institutional design.
• Preserves human agency by framing technology’s consequences as dependent on collective choices.

Evidence

• Convergence forecasting: How convergence will define the tech sector in 2026 connects AI Convergence to the Post-Search Internet, Physical AI, Programmable Matter, and Generative Biology.
• Accountability and competition: AI safety requires action, not promises records Webb rejecting another manifesto without accountable action and warning that unaffordable safety obligations can become an artificial moat.
• Institutional comparison and agency: AI safety requires action, not promises uses Facebook oversight, biotechnology rules, and the distributed-pebble metaphor to distinguish durable mechanisms from fatalism.

Qualifications

The sources use Webb as an expert interviewee, not as a complete biography or an independent evaluation of the Future Today Strategy Group. Her biotech and Facebook analogies are compressed, and the September episode does not specify a complete cross-border incentive mechanism or independently establish the motives of frontier AI leaders.

What Changed

• Expanded Webb’s profile from technology forecasting into AI-safety governance and institutional design.
• Added her artificial-moat test for unequal safety-compliance burdens.
• Added her emphasis on distributed agency and incentive-compatible action.

Relationships

• Marketplace Tech - interview venue for both bounded sources.
• AI Convergence - central framework in Webb’s 2026 technology forecast.
• Incentive-Compatible AI Safety - governance approach implied by her carrots, participation, and accountability argument.
• AI Regulatory Capture Risk - adjacent risk when safety obligations favor resource-rich incumbents.
• Voluntary AI Safety Commitments - mechanism Webb treats as inadequate without durable accountability.