The adoption question has been settled. Ninety-five percent of market researchers now use AI. What has not been settled is whether the AI they are using was designed for the full arc of insight generation, or just the first query.

New peer-reviewed research from Symanto and a Harvard/MIT team converge on the same finding: scaling synthetic personas from 7,290 to 8.3 billion does not fix AI bias, it amplifies it. Here is what that means for organizations deploying AI in regulated industries.

New research by Chulvi, Gonzalez, Fontanella & Rangel shows that LLMs can accurately model human psychological needs — but systematically miss minority worldviews and embed social stereotypes. Here is what the findings mean for AI in human-facing contexts.

Mid-sized service organisations, e.g. Healthcare providers or universities don't struggle because they lack AI. They struggle because thousands of important conversations happen every day — and too many of them are delayed, fragmented, or lost. That's a conversation problem, not a platform problem.

Agentic AI automates tasks. Emotional intelligence in AI understands people. These are not competing concepts, they are complementary capabilities. Organisations that combine autonomous action with emotional understanding will outperform those that treat efficiency as the only metric that matters.

As EU data protection rules tighten and AI vendors consolidate globally, choosing a GDPR-compliant AI contact centre has never been more business-critical. This guide covers what compliance actually means in 2026 — from data residency to EU AI Act obligations — and the questions you need to ask before signing with any vendor.