Speaking
Helping leadership teams close the gap between AI spend and AI return
Helping leadership teams close the gap between AI spend and AI return
“Highly recommend booking her for events, leadership teams, or company sessions if you want someone who can make people properly think”, Paul Armstrong, CEO, TBD Group and TBD Conference
Athena is a sought-after speaker at international conferences and leadership forums, with appearances at SXSW, the Global Marketing Summit, KIMRA, The Forward Institute and Rialto’s Board Briefing series.
Her audiences have included senior leaders from organizations including Accenture, BCG, BT, Bupa, Centrica, Channel 4, EY, Fortnum & Mason, Microsoft, Nationwide, Primark, Virgin, the UK Space Agency and government departments.
She is a regular radio and podcast guest, where she unpacks what AI and emerging technologies really mean for everyday life and business.

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Athena’s keynotes combine robust research with deep experience of business challenges. Inspirating and practical, all keynotes are tailored to your audience and your goals.
As AI disrupts the usual sources of competitive advantage, the leaders who win are the ones who anticipate and respond to change before their competitors do.
This is the new leadership imperative of the Human+AI era, and it has little to do with the size of anyone’s tech budget.
This talk makes the case that AI investments succeed or fail on leadership readiness, not technology.
It shows why the future of leadership is being transformed as machines take on more of the work, and how senior leaders can build their next source of competitive edge.
Audiences leave with: a clear view of why leadership decides whether AI pays off, and where competitive advantage moves once AI commoditises a task.
Best fit: strategy off-sites, innovation conferences, and CEO forums.
In my original research with nearly 200 senior leaders, one finding stood out.
High AI-Q leaders are more than three times as likely to report a measurable business outcome from AI in the past twelve months, and to put a number on it.
The difference is not AI budgets. It is AI-Q.
This talk opens up what those leaders do differently, through the MAP model at the heart of the book: three mindsets, five abilities, and five practices. It turns a fuzzy idea of being “good with AI” into something specific, learnable, and worth building toward.
Audiences leave with: the three mindsets, the core abilities, and the everyday practices that separate high AI-Q leaders from the rest, and an honest robust assessment on where they sit today.
Best fit: boards and executive committees facing scrutiny over AI return.
Personal AI-Q and organisational AI-Q are different things, and the bridges between them are where most AI strategies break down.
The gap carries a cost that grows while everyone waits for certainty.
This talk shows where the AI readiness gap opens up and how to close it, through the five practices that move an organisation from isolated pockets of progress towards AI that scales to create measurable value.
Audiences leave with: why personal fluency does not scale on its own, the five practices that close the gap, and the cost of leaving it open.
Best fit: CEOs, transformation leads, and heads of HR and Learning and Development.
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