What these talks are

These talks address the decisions leaders actually have to make: what to automate, what to govern, what to protect, and how to build an organisation that performs well precisely because it has been deliberate about what it keeps human.

The audience leaves with a frame they can use and put to work immediately.

Signature topics

What to Keep Human in the Age of AI

The hardest question in AI adoption is not technological. At a certain point, the real constraint is not access to tools or capability. It is knowing which parts of an organisation to deliberately protect from automation, and being able to articulate why. This talk provides a practical decision framework for exactly that question.

Suited to: executive briefings, board strategy sessions, leadership off-sites.

AI Adoption Is a Judgement Problem

The constraint in AI programmes is rarely the technology. It is leadership's ability to make and hold hard decisions in the face of organisational complexity, competing priorities, and premature pressure to declare success. This talk names what actually gets in the way, and what to do about it.

Suited to: technology and transformation leadership audiences.

From AI Experimentation to Operating Capability

The transition from experiment to embedded, compounding capability is where the real work is, and where it tends to stall. This talk maps what that transition actually takes: the roles, governance structures, decision rights, and operating rhythms that distinguish AI capability from AI veneer.

Suited to: executive and senior leadership teams mid-programme.

Dark Factories, Human Frontlines

AI's highest-value application is a redesigned organisation, where the work that can run without human attention runs autonomously, and human capacity is concentrated on the work that is uniquely, irreplaceably human. This talk provides the frame and the practical implications.

Suited to: business leaders, operations and people leaders, transformation teams.

Building an AI Brain for Your Organisation

Generic AI gives generic results. The organisations compounding advantage over time are building persistent, operational knowledge systems that make their AI increasingly calibrated to how they actually think and operate. This talk explains the architecture, the investment required, and why that build step is the one that gets skipped.

Suited to: knowledge-intensive teams, professional services, technology leaders.

Resilience as a Technical Leadership Capability

In periods of rapid technology change, the leaders who sustain performance longest are the ones who have built the adaptive capacity to operate well under uncertainty. This talk addresses resilience as a structural and leadership skill, developed deliberately rather than assumed as a trait.

Suited to: technology leadership teams, CXO audiences, organisations in transformation.

Formats

Available as keynote presentations (30 to 60 minutes), executive briefings (60 to 90 minutes with structured Q&A), team workshops (half or full day, applied frameworks), lunch-and-learn sessions (45 minutes), and conference panel contributions.

All formats can be adapted for in-person or remote delivery.

Audience fit

These talks are built for people who have skin in the decision: executives and technology leaders navigating real AI adoption choices, transformation teams who need to get the work done rather than describe it, and event organisers who want a room that is still thinking on the way home.

Speaker profile

Peter Johnson is a technology leader and AI adoption advisor with more than 25 years of technology experience, including 15 years in technology leadership at organisations such as AMP and CBA. He has led technology programmes valued at over $10 million, is Microsoft certified in AI engineering, data science, and analytics. He holds an MBA in Sustainable Leadership from MGSM, a degree in information and communication systems from Macquarie University, and is an accredited Quantum Coach.

To enquire about speaking availability, topics, and formats, get in touch.