Alison McCauley
Most AI deployments produce pilots, not capability. Tools land in the organisation faster than people can absorb them, and leaders default to vendor narratives because they lack a vocabulary for the human variables that decide whether productivity actually moves. The bottleneck is rarely the model. It is the gap between what AI can do and how the workforce learns to think with it.
Alison McCauley is a social scientist and bestselling author who helps executives turn AI from a tooling investment into a workforce capability.
Full Profile
Why organisations work with Alison McCauley
- She brings a Stanford-trained social scientist’s lens to AI adoption, focused on the human and organisational variables that decide whether a deployment moves the operating numbers.
- Her LinkedIn Learning course on emerging technology has reached more than 90,000 enterprise learners, evidence she can translate complexity into something a non-technical workforce can act on.
- How To Think With AI is built on a year of fieldwork with hundreds of early adopters, giving her a usable framework for cognitive performance with AI rather than a survey of capabilities.
- She has tracked technology adoption cycles across blockchain and AI since 2016, which gives boards a pattern recogniser, not a vendor pitch, when assessing what is signal and what is hype.
- Her writing in Harvard Business Review, Forbes, and VentureBeat, plus LinkedIn Top Voice status, gives senior audiences a credible voice they can quote internally after the keynote.
Biography highlights
- Bestselling author of Unblocked: How Blockchains Will Change Your Business (O’Reilly Media) and How To Think With AI.
- Founder and CEO of Unblocked Future, a strategy firm advising leaders on adoption of emerging technology.
- Chief Advocacy Officer at Think with AI.
- LinkedIn Learning course creator with more than 90,000 students enrolled in her enterprise technology programme.
- Named a LinkedIn Top Voice; published in Harvard Business Review, Forbes, and VentureBeat.
- BA in Psychology and MA in Organization Design and Development, Stanford University.
- Speaking platforms include SXSW, the Aspen Ideas Festival, Columbia University, and UC Berkeley.
Biography
Most AI rollouts stall at the same place. The model works, the licence is bought, and three months later the only people getting value from it are the same handful who would have found a way regardless. The variable that matters is not the technology. It is whether the rest of the workforce learns to think with it.
That is the operating problem Alison McCauley has spent two decades on. Her training is in psychology and organisational behaviour, both at Stanford, and her consulting career has put her opposite C-suites at firms including Adobe, Oracle, IBM, PNC, First Data, and Verizon. She studies the human side of how new technology lands inside organisations, which is why her work reads differently from technologist commentary on AI.
She wrote Unblocked with O’Reilly Media in 2018, before blockchain literacy was a board concern, and her LinkedIn Learning course on the same topic became a default executive education resource with more than 90,000 enrolments. Her current book, How To Think With AI, is built on a year of fieldwork with hundreds of generative AI early adopters and translates what they do differently into a framework leaders can teach.
As Chief Advocacy Officer at Think with AI and founder of Unblocked Future, she works with senior teams on the practical question of what changes when AI becomes a capability rather than a tool. Her articles appear in Harvard Business Review, Forbes, and VentureBeat. She has been named a LinkedIn Top Voice. The reason boards bring her in is not to be told that AI matters; it is to be shown what their workforce has to do differently for the next eighteen months to count.
Key speaking topics
- AI adoption and workforce capability
- Human-centred technology change
- Generative AI for cognitive performance
- Digital transformation strategy
- Emerging technology pattern recognition
- Executive AI literacy
- Future of work in the age of AI
Ideal for
- C-suite and board audiences setting AI strategy beyond pilots
- CHROs and learning leaders rebuilding capability around AI
- Transformation and innovation leads moving deployment from tooling to operating advantage
- Executive education and senior leadership programmes
Audience outcomes
- A clear vocabulary for the human variables that determine AI return on investment
- A practical framework, drawn from fieldwork with early adopters, for how individuals and teams use AI to lift cognitive performance
- A sharper read on which AI signals matter for their sector and which are vendor noise
- Confidence to lead AI conversations internally without deferring to technology vendors
- A point of view on workforce redesign that holds up in a board setting
Talks
A senior-leader keynote that translates AI capability into the strategic choices a C-suite is actually making this year.
Key takeaways:
- A framework for separating durable AI signal from vendor narrative
- A view of where AI is shifting competitive advantage in the next eighteen months
- A board-ready vocabulary for AI adoption decisions
A practical keynote drawn from her fieldwork with hundreds of AI early adopters, giving individual leaders a method for using AI as cognitive leverage.
Key takeaways:
- The three behaviours that separate high-performing AI users from the rest
- How to build an AI practice that compounds over time
- Specific prompts and patterns leaders can apply on Monday morning
A team-level keynote that reframes AI adoption as a collective learning curve, not an individual tool decision.
Key takeaways:
- How to design team rituals that build AI capability week over week
- The cultural conditions that determine whether AI adoption sticks
- Common adoption failure modes and how to avoid them
A keynote on the strategic and human stakes of working alongside increasingly capable AI systems.
Key takeaways:
- Where human judgement remains decisive and where AI now exceeds it
- How to lead a workforce through the identity and motivation effects of AI change
- A framework for protecting the human capabilities that compound with AI
Videos
Testimonials
Books
Fees
| EUR | GBP | USD | |
|---|---|---|---|
| Home Country | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| Asia Pacific | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| Europe | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| Middle East & Africa | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| South America | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| United Kingdom | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| US East Coast | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| US West Coast | €12000 to €40000 | £10,001 - £35,000 | $15000 - $50000 |
| Virtual | Under €12000 | Under £10,000 | Under $15000 |