Leadership specialist Kerry-Lyn Stanton-Downes argues that organisations need stronger relationships as AI changes work, with trust, candour and curiosity shaping whether teams can perform under pressure.
A business can invest in systems and still struggle to work together. Kerry-Lyn Stanton-Downes argues that the missing element is often relational: the trust, openness and ability to handle difference that allow people to use a strategy effectively. Her perspective places human connection near the centre of the debate about work and artificial intelligence.
The Wealth Between People
Stanton-Downes uses the term relational wealth for the accumulated quality of connection within an organisation. In this account, apparently minor encounters matter because each can strengthen or weaken the conditions in which colleagues communicate. Listening carefully, acknowledging a concern and addressing a difficult conversation can influence how a team functions over time.
The reverse is relational poverty. People become cautious, unresolved tensions accumulate and curiosity declines. Surface performance can conceal these problems until a period of pressure makes them harder to ignore. Operational changes alone may fail to address what is happening between people.
From Principles to Everyday Behaviour
Her framework identifies eight principles of relational capacity: presence, reflection, curiosity, respectful candour, vulnerability, navigating difference, service to a shared goal and a mindset of abundance. They are intended as practices rather than decorative statements of values.
A leader asking what colleagues need from a meeting, for example, creates an opportunity to clarify expectations before work begins. Respectful disagreement and a willingness to acknowledge uncertainty can likewise make collaboration more useful than a performance of certainty.
Why Technology Raises the Stakes
Stanton-Downes distinguishes individual emotional awareness from relational intelligence, which concerns the dynamic space between people. As AI takes on more transactional work, she expects the importance of navigating ambiguity, conflict and trust to become more visible.
Her argument does not require rejecting technology. It asks leaders to retain responsibility for judgement and the human context surrounding decisions. Data can support an assessment without fully explaining the relationships that determine how it will be received. For organisations introducing AI, that shifts attention from adoption alone towards the everyday conditions that allow people to cooperate with confidence.
Source: DipTalk. Adapted from the original interview published by Mosaic Digest. Image from the original Mosaic Digest feature.