25 Essential AI Thought Leaders in Melbourne (2026)

Melbourne has become one of the most important cities in the world for artificial intelligence. According to LaunchVic, Melbourne's CBD alone hosts 188 AI companies, making it Australia's largest single AI cluster. Victoria is home to more than 20 per cent of the nation's AI startups and scaleups, with the broader startup ecosystem valued at approximately A$143 billion. According to KPMG Australia's 2026 Keeping Us Up at Night survey, AI-related issues have emerged as the number one concern for Australian business leaders for the first time, surpassing inflation, talent shortages, and cybersecurity.

The challenge for business leaders, event organisers, researchers, and anyone trying to stay ahead of AI in 2026 is knowing who to listen to. The AI conversation in Melbourne spans researchers decoding algorithmic bias at the University of Melbourne, surgeons using AI diagnostics built by Harrison.ai, startup founders raising hundreds of millions in venture capital, and consultants helping boards navigate the governance minefield. The noise is deafening. The signal is what matters.

This directory profiles 25 AI thought leaders who are genuinely based in or deeply connected to Melbourne, actively shaping the city's AI ecosystem in 2026. These are researchers publishing in top journals, founders building products used by millions, consultants advising boards, and community organisers convening the practitioners who make the ecosystem work. Every person on this list was selected because they are doing original work that advances how Melbourne thinks about, builds, or governs artificial intelligence.

One important note before we begin. The biggest challenge organisations face with AI is rarely the technology itself. It is the leadership and people challenge that accompanies rapid technological change. For more on the human side of AI adoption, check out my blog post '13 Proven Keys for Leading Your Team Through AI' at https://www.consultclarity.org/post/leading-team-ai.

Jonno White, Certified Working Genius Facilitator and bestselling author of Step Up or Step Out with over 10,000 copies sold globally, works with schools, corporates, and nonprofits around the world. His keynote Unity in Motion: Leading Through Rapid Change and Growth helps leadership teams navigate disruption while keeping people at the centre. To discuss how Jonno might support your team, email jonno@consultclarity.org.

Why Melbourne's AI Ecosystem Matters

Melbourne's AI ecosystem is distinctive for several reasons that separate it from Sydney, Brisbane, and international comparisons. The city combines world-class research depth with a thriving commercialisation pipeline, a concentrated physical hub ecosystem, and what may be the strongest AI ethics and governance cluster in the Asia-Pacific region.

Startup Genome research found that Melbourne's startup ecosystem generated US$26.5 billion in ecosystem value, with AI, big data, and analytics listed among the city's core strengths. Victoria ranked second nationally for venture capital investment in 2024, with A$842 million raised by startups. The Victorian Government has committed significant funding to support AI and technology development in the region.

The physical infrastructure matters too. Melbourne Connect in Carlton brings together more than 3,000 knowledge workers from research institutions, startups, government, and industry in a purpose-built innovation precinct. The Cremorne technology precinct has become a magnet for AI-first companies. Stone and Chalk in the CBD hosts regular pitch nights for AI-driven SaaS founders. Melbourne is not just producing AI talent. It is also acting as a convening city, hosting events including AI Week Melbourne, CDAO Melbourne 2026, AIME 2026, and the National AI and Cybersecurity Leadership Summit. ICONIP 2026 will also be held in Melbourne, bringing international neural network and AI researchers to the city.

Melbourne's health AI cluster deserves particular attention. Harrison.ai, Heidi Health, StrongRoom AI, and numerous university research groups are building AI tools for radiology, clinical documentation, pharmacy operations, and diagnostic medicine. This concentration of health AI activity is becoming a defining characteristic of Melbourne's ecosystem, distinguishing it from Sydney's strength in fintech AI and Brisbane's emerging government and resources AI applications.

The University of Melbourne has over 50 academic staff and 120 PhD students engaged in AI-related research. Monash, RMIT, Deakin, Swinburne, and La Trobe each bring specialised strengths. The result is a city where cutting-edge research, commercial application, ethical governance, and community infrastructure exist in close proximity. That concentration is what makes Melbourne's AI thought leadership scene worth documenting.

Academic Researchers and Scientists

1. Professor Jeannie Paterson

Jeannie Paterson is the co-founding director of the Centre for AI and Digital Ethics (CAIDE) at the University of Melbourne, housed in Melbourne Connect. CAIDE is a cross-disciplinary research, teaching, and policy centre that has become one of the most influential voices on AI regulation and governance in Australia. Paterson's research focuses on consumer protection law in the context of AI, including misleading AI such as deepfakes and misinformation, AI agents and companions, and AI in the civil justice system. Her scholarly work has been cited by the High Court of Australia and the Supreme Court of Canada, and she currently serves on the Commonwealth Government's temporary AI expert group. Paterson is a Fellow of the Australian Academy of Law and a regular media commentator on AI regulation.

2. Professor Shonali Krishnaswamy

Shonali Krishnaswamy is the Director of the Monash AI Institute and Associate Dean of Innovation at Monash University. The Monash AI Institute, formerly the Monash Data Futures Institute, rebranded specifically to sharpen its focus on AI research, industry collaboration, and entrepreneurship. Krishnaswamy bridges the gap between academic AI research and commercial application, overseeing one of Melbourne's most important institutional pipelines for turning research into real-world products and services. Her leadership positions Monash as a critical node in Melbourne's AI ecosystem, particularly in health AI, learning analytics, and AI safety.

3. Professor Geoff Webb

Geoff Webb is an Australian Laureate Fellow at Monash University and one of the most cited machine learning researchers in the country. His work spans data mining, machine learning, and statistical learning theory. Webb's research has influenced how organisations approach pattern recognition and predictive analytics at scale. His Australian Laureate Fellowship, one of the most prestigious research awards in the country, underscores the depth of his contribution to the field. Webb's presence at Monash reinforces Melbourne's position as a serious centre for foundational AI research, not just applied hype.

4. Associate Professor Renata Borovica-Gajic

Renata Borovica-Gajic is an Associate Professor at the University of Melbourne whose work sits at the intersection of databases, machine learning, and AI. She won a 2025 Women in AI Award in the Asia-Pacific region for AI in Data and was recognised as a Victorian Young Tall Poppy in 2024. Borovica-Gajic represents the next generation of Melbourne AI leaders, combining serious academic credentials with growing public visibility. Her recognition at the Women in AI Awards positions her as one of Melbourne's strongest emerging research profiles in 2026.

5. Distinguished Professor Saeid Nahavandi AO

Saeid Nahavandi holds the rank of Distinguished Professor at Swinburne University of Technology and is an Officer of the Order of Australia. His work spans autonomous systems, robotics, haptics, and defence AI applications. Nahavandi received a Lifetime Achievement Award in 2025, reflecting decades of contribution to how machines and humans interact in complex environments. Swinburne's AI research, under Nahavandi's influence, covers territory that most Melbourne AI commentary overlooks, including autonomous systems, defence applications, and human-AI collaboration in manufacturing and industry settings.

Startup Founders and Company Builders

6. Dr Aengus Tran and Dimitry Tran

Aengus and Dimitry Tran are the co-founders of Harrison.ai, a Melbourne-based company positioning itself as a global leader in AI-powered radiology and pathology diagnostics. Harrison.ai's platform Annalise.ai is deployed across more than 1,000 healthcare facilities in 15 countries. The company raised A$179 million in a Series C round, making it one of the largest AI-specific raises in Australian history. Harrison.ai demonstrates that Melbourne is not just a research town. It is producing AI companies with genuine global scale and clinical impact. The Tran brothers have become two of the most visible AI founders in the country.

7. Dr Tom Kelly, Waleed Mussa, and Yu Liu

Tom Kelly, Waleed Mussa, and Yu Liu are the co-founders of Heidi Health, a Melbourne-based AI platform that automates clinical documentation for doctors. Heidi raised a major Series B round in 2025, reaching a valuation in the hundreds of millions and expanding beyond software into hardware. Heidi Health is one of Melbourne's strongest AI success stories, solving a tangible problem, physician burnout from administrative work, with generative AI technology built and scaled from Melbourne. Kelly brings the clinical perspective as CEO, while Liu drives the technical architecture as CTO.

8. Max Mito, Christopher Durre, and Kieran Start

Max Mito, Christopher Durre, and Kieran Start are the founders of StrongRoom AI, a Melbourne-based company building AI-led healthcare workflow automation for pharmacies and health operations. The three founders were named in Forbes Australia's 30 Under 30 list in 2024, bringing visibility to a younger cohort of Melbourne AI builders. StrongRoom AI represents the next wave of Melbourne's health AI cluster, applying artificial intelligence to operational challenges in healthcare delivery rather than just diagnostics.

9. Jack Zhang

Jack Zhang is the co-founder and CEO of Airwallex, a fintech unicorn that was founded in Melbourne and is actively embedding AI across its global payments infrastructure. Airwallex uses advanced machine learning for financial routing, fraud detection, and automated compliance. The company rejected a major acquisition offer and continues to scale rapidly, with a valuation exceeding A$9 billion. Zhang is not a pure AI thought leader in the academic sense, but Airwallex's Melbourne origins and its increasingly AI-driven product architecture make him an important figure in the city's applied AI narrative.

10. Sam Kroonenburg

Sam Kroonenburg is one of Melbourne's best-known repeat founders, having built A Cloud Guru into a globally successful cloud education platform before its acquisition. He has returned to startup building with Cuttable, explicitly connecting the new venture to the AI wave. Kroonenburg matters to Melbourne's AI story because he represents the experienced founder class moving into AI-era company building. LaunchVic has highlighted his new venture as part of Victoria's startup ecosystem, and his track record gives credibility to Melbourne's capacity to produce serial founders who build at global scale.

Consultants, Speakers, and Applied AI Practitioners

11. Simon Kriss

Simon Kriss is Melbourne's most visible AI keynote speaker and consultant. He is the co-founder of Sovereign Australia AI, author of The AI Empowered Customer Experience, and host of the AI in 5 podcast. Kriss has spoken at the United Nations in Geneva and was named in the 2024 CX Top 50 Global Influencers. With over 35 years of corporate experience across multiple countries, Kriss brings a practical, vendor-neutral perspective to AI adoption that resonates with boards and executive teams. His work with Sovereign AI, which acquired 256 NVIDIA Blackwell B200 GPUs for an Australian sovereign AI model, positions him at the intersection of AI thought leadership and genuine infrastructure building.

12. Dr Amantha Imber

Amantha Imber is the founder of Inventium, an innovation consultancy based in Melbourne. While not a machine learning researcher, Imber has become a significant voice in Melbourne's broader AI discourse through Inventium AI, which was recognised at the 2025 Australian AI Awards. Imber's contribution is making AI accessible and relevant for mainstream business audiences. Her high visibility as a workplace innovation speaker and author means she reaches leaders who would never attend an AI research conference but urgently need to understand how AI changes how teams work and innovate.

13. Geoff Gourley

Geoff Gourley is the founder of ChatESG and ESG and I, a Melbourne-headquartered consultancy that uses AI and large language models to automate environmental, social, and governance workflows. Gourley was a finalist at the Australian AI Awards, representing a growing category of Melbourne AI practitioners who are applying generative AI to specific industry problems rather than building general-purpose platforms. His work sits at the intersection of sustainability reporting and AI automation, a niche that is becoming increasingly important as regulatory requirements expand.

14. Kee Wong

Kee Wong is the founder of e-Centric Innovations in Melbourne, focused on technology policy, enterprise AI adoption, and government digital strategy. Wong's contribution to Melbourne's AI ecosystem is at the governance and advisory layer, helping organisations understand how to implement AI responsibly within existing regulatory and policy frameworks. His work bridges the gap between technical AI capability and organisational readiness, a gap that many thought leader lists fail to acknowledge exists.

15. Caroline Kennedy

Caroline Kennedy is an AI keynote speaker based in Melbourne who focuses on helping leaders navigate AI adoption. A former CEO who led A$250 million businesses, Kennedy brings executive-level credibility to the AI speaking circuit. She was honoured twice at the Telstra Business Women's Awards and has developed The Leadership Stack, a framework that helps leaders integrate AI into strategic decision-making. Kennedy's focus on practical AI adoption frameworks, rather than technical deep dives, makes her particularly effective for executive and board-level audiences.

AI Ethics, Policy, and Responsible AI Leaders

Melbourne's strength in AI ethics and governance is one of the city's most distinctive features globally. For a deeper exploration of AI ethics thought leadership across Australia and New Zealand, check out my blog post '35 Best Thought Leaders on AI Ethics in ANZ' at https://www.consultclarity.org/post/thought-leaders-ai-ethics-anz.

16. Dr Marc Cheong

Marc Cheong is the Deputy Director and Digital Ethics Advisor at CAIDE, the University of Melbourne's Centre for AI and Digital Ethics, as well as a Senior Lecturer in Information Systems and a Senior Fellow at Melbourne Law School. Cheong's research sits at the intersection of technology, data science, social media, and philosophy. He is one of the early pioneers in Twitter research and applies techniques from data science and philosophical rigour to questions about how AI affects society. His work in science communication and public engagement makes complex digital ethics accessible to general audiences.

17. Dr Sarah Erfani

Sarah Erfani is a researcher at the University of Melbourne focusing on AI and cybersecurity. She received a 2024 Women in AI Award in the Defence and Intelligence category, recognising her work on how AI systems can be made more secure and trustworthy. Erfani's research addresses one of the most pressing concerns in AI deployment, ensuring that the systems organisations build are robust against adversarial attacks and security threats. Her recognition alongside Borovica-Gajic's 2025 award demonstrates the depth of Melbourne's female AI research leadership.

18. Professor Christopher Leckie

Christopher Leckie is a Professor at the University of Melbourne whose research focuses on AI assurance and trust. In a landscape where AI systems are being deployed with increasing autonomy, Leckie's work on verifying that these systems behave as intended is critically important. His research addresses the fundamental question that boards and executives need answered: can we trust this AI system to do what we think it does? Leckie's work in AI assurance complements Paterson's legal and regulatory focus and Cheong's ethical frameworks, making Melbourne's AI governance coverage unusually comprehensive.

19. Jeffrey Chan

Jeffrey Chan is the Associate Dean of Data Science and AI at RMIT University in Melbourne, with a research focus on responsible AI, recommender systems, and optimisation. Chan's position at RMIT, which explicitly clusters its AI research into health AI, multi-modal machine learning, responsible AI, and intelligent decision-making, gives him influence across multiple applied domains. RMIT's strength in responsible AI complements the University of Melbourne's ethics focus and Monash's commercialisation pipeline, creating a genuinely distributed responsible AI capability across the city.

20. Dr Simon Coghlan

Simon Coghlan is a Senior Lecturer at CAIDE at the University of Melbourne, specialising in AI ethics, digital health, and human-computer interaction. Coghlan's research explores the ethical dimensions of how humans relate to AI systems, including questions about AI in healthcare, AI and animals, and the ethics of automated systems in sensitive contexts. His published work on topics from AI moderation in gaming to the ethics of digital mental health interventions shows the breadth of ethical questions that Melbourne researchers are tackling.

Emerging Voices and Community Builders

21. Professor Amy Shi-Nash

Amy Shi-Nash is a Professor in Data Science and AI at Monash University who brings a rare combination of academic depth and executive experience. She previously served as Chief Analytics and Data Officer at TabCorp, Global Head of Analytics and Data Science at HSBC, and General Manager of Group Data Science at Commonwealth Bank. Shi-Nash has been named among the global top 100 innovators in data and analytics and holds an Honorary Doctorate for her leadership contributions. Her transition from corporate data leadership to academia makes her a powerful bridge between Melbourne's research institutions and its corporate AI practitioners.

22. Professor Kai Qin

Kai Qin is a Professor of AI and Data Science at Swinburne University, where he directs the Intelligent Data Analytics Lab. His research extends into AI for space applications, a frontier domain that positions Melbourne in conversations beyond the typical enterprise AI narrative. Qin's work demonstrates that Melbourne's AI expertise is not limited to health, fintech, and ethics. The city has genuine research capability in emerging and speculative AI applications that connect to Australia's broader space and defence ambitions.

23. Linus Tan

Linus Tan is an emerging voice at Swinburne University working at the intersection of generative AI, design, and architecture. Swinburne highlighted Tan in 2025 for his leadership in responsible creative generative AI. His work represents a category of AI thought leadership that most directories miss entirely, the application of AI to creative and built-environment disciplines. As generative AI tools transform how buildings are designed, products are prototyped, and creative work is produced, practitioners like Tan become increasingly important to Melbourne's AI narrative.

24. The Melbourne Machine Learning and AI Community

Melbourne's AI thought leadership is not only about individuals. It is sustained by a grassroots community infrastructure that includes the Melbourne Machine Learning and AI Meetup, the Melbourne AI Innovation Meetup, Melbourne AI Enthusiasts, Global AI Melbourne, Responsible AI Melbourne, and the Melbourne chapter of AI and Society. These communities gather hundreds of practitioners monthly and create the connective tissue between Melbourne's universities, startups, corporates, and government agencies. The organisers behind these groups deserve recognition for building the informal networks where ideas are shared, collaborations are formed, and the next generation of AI leaders develops.

25. Grace Brown

Grace Brown is the CEO of Andromeda Robotics, a Melbourne-based startup building Abi, an AI-powered companion robot for aged care and paediatric settings. Brown bootstrapped the company before closing a A$3 million seed round led by Purpose Ventures. Her work sits at the intersection of AI, robotics, and social impact, applying machine learning and emotional recognition to one of Australia's most pressing demographic challenges. Brown represents a new generation of Melbourne AI founders who are building companies that combine commercial ambition with genuine social purpose.

Common Mistakes When Evaluating AI Thought Leaders

The first mistake is confusing AI hype with AI thought leadership. Melbourne has no shortage of speakers who added artificial intelligence to their biography in 2023 and now present themselves as AI experts. Genuine thought leaders have a track record that predates the current generative AI wave. Look for published research, real products in market, or years of sustained commentary on the topic.

The second mistake is focusing exclusively on global celebrity names. Andrew Ng, Sam Altman, and Yann LeCun are important globally, but they are not shaping Melbourne's AI ecosystem. The people on this list are publishing from Melbourne's universities, building products in Melbourne's startup precincts, and advising Melbourne's boards and government agencies. Proximity and context matter.

The third mistake is ignoring the ethics and governance layer. Melbourne's distinctive strength is the depth of its responsible AI community. Organisations that follow only the builders and ignore the governance voices risk making costly mistakes. The regulatory landscape is moving fast, and Melbourne's CAIDE researchers, RMIT's responsible AI cluster, and Swinburne's governance work are producing insights that directly affect how organisations deploy AI safely.

The fourth mistake is treating AI thought leadership as a purely technical domain. The most valuable AI leaders in Melbourne span law, medicine, education, design, sustainability, and defence. Artificial intelligence is a horizontal technology that cuts across every sector, and the thought leaders who matter most are often those who understand both the technology and the domain it is being applied to.

The fifth mistake is overlooking the community builders. The meetup organisers, accelerator managers, and event producers who convene Melbourne's AI practitioners do not publish papers or raise venture capital, but they create the conditions in which ideas spread and collaborations form. An ecosystem without community infrastructure is just a collection of individuals working in isolation.

How to Engage with Melbourne's AI Thought Leaders

Start by defining what you actually need. If your challenge is understanding AI regulation and governance, begin with CAIDE's research output and attend their public events at Melbourne Connect. If you need to understand how AI is being commercialised in healthcare, follow Harrison.ai, Heidi Health, and StrongRoom AI. If your board needs a practical AI adoption briefing, Simon Kriss and Caroline Kennedy deliver content specifically designed for executive audiences.

Follow their LinkedIn activity. Most of the thought leaders on this list are active on LinkedIn and share insights, commentary, and event announcements regularly. LinkedIn is the primary platform where Melbourne's AI conversation happens in real time. Building your feed around these voices will give you a curated, Melbourne-relevant AI briefing without the noise of global AI social media.

Attend Melbourne AI events. AI Week Melbourne, CDAO Melbourne, and the various university-hosted seminars and meetups are where the ecosystem comes alive. The value is not just the content. It is the corridor conversations, the introductions, and the context that comes from being physically present in Melbourne's AI community.

Consider who can help your team navigate the human side of AI change. Technology adoption is ultimately a leadership challenge. The organisations that succeed with AI are not the ones that adopt the fastest tools. They are the ones where leaders build trust, communicate transparently, and help their people through the internal transition that accompanies external change. Prosci research consistently shows that organisations with excellent change management see an 88 per cent success rate in meeting project objectives, compared to a 70 per cent failure rate for major change initiatives without it. For organisations looking for support with team dynamics, communication, and leading through change, Jonno White, bestselling author of Step Up or Step Out and Certified Working Genius Facilitator, delivers keynotes, workshops, and executive team offsites that help teams implement change rather than just discuss it. Whether virtual or face to face, reach out to jonno@consultclarity.org. Many organisations find that flying Jonno in costs less than engaging high-profile local providers.

Frequently Asked Questions

Who are the most influential AI researchers in Melbourne? Professor Jeannie Paterson at the University of Melbourne, Professor Shonali Krishnaswamy at Monash, Professor Geoff Webb at Monash, and Distinguished Professor Saeid Nahavandi at Swinburne are among the most influential. Each brings different expertise, from AI ethics and regulation to machine learning theory and autonomous systems.

Which Melbourne startups are genuinely AI-first? Harrison.ai, Heidi Health, and StrongRoom AI are building products where artificial intelligence is the core technology, not a feature added to an existing platform. Airwallex and Seek also have significant AI capabilities embedded in their products, though they are not categorised as pure AI companies.

Where do Melbourne AI leaders gather in person? Melbourne Connect in Carlton is the primary physical hub. The Cremorne technology precinct and Stone and Chalk in the CBD are also important gathering points. Regular meetups hosted by the Melbourne Machine Learning and AI community, Global AI Melbourne, and Responsible AI Melbourne draw hundreds of practitioners.

Is Melbourne stronger in AI research or AI startups? Historically Melbourne has been stronger in research, but the gap has closed significantly. Harrison.ai's A$179 million raise, Heidi Health's rapid scaling, and Airwallex's AI-driven fintech infrastructure demonstrate that Melbourne can now produce globally competitive AI companies alongside world-class research. The city's distinctive advantage is the proximity between research institutions and commercial ventures.

What makes Melbourne's AI ethics ecosystem distinctive? Melbourne's Centre for AI and Digital Ethics at the University of Melbourne combines world-class law school expertise with computer science and engineering research. This cross-disciplinary approach, combined with RMIT's responsible AI work and Swinburne's governance research, gives Melbourne arguably the strongest concentration of AI ethics and governance expertise in the Asia-Pacific region.

Can I hire someone to help my team navigate AI change? Yes. Many organisations find that the biggest challenge with AI is not the technology but the leadership and people challenge. Jonno White, Certified Working Genius Facilitator and trusted facilitator across Australia, the UK, USA, Singapore, Canada, New Zealand, India, and Europe, delivers keynotes, workshops, and executive team offsites that help teams navigate change practically. International travel is often far more affordable than clients expect. Email jonno@consultclarity.org for a custom quote.

Final Thoughts

Melbourne's AI ecosystem in 2026 is one of the most complete in the Asia-Pacific region. It has world-class research, a thriving startup pipeline, strong ethics and governance infrastructure, active community networks, and significant government and venture capital investment. The 25 thought leaders profiled in this directory represent the breadth and depth of that ecosystem.

The value of following these leaders is not just staying informed. It is staying connected to the ideas, debates, and developments that will shape how your organisation, your industry, and your career interact with artificial intelligence over the next five years. Melbourne's AI scene is moving fast, and the thought leaders who matter most are the ones doing the work, not just talking about it.

For school leaders navigating AI adoption specifically, check out my blog post '21 Vital Keys to Leading AI in Schools' at https://www.consultclarity.org/post/leading-ai-schools. For a broader look at AI ethics thought leadership across Australia and New Zealand, explore '35 Best Thought Leaders on AI Ethics in ANZ' at https://www.consultclarity.org/post/thought-leaders-ai-ethics-anz.

Jonno White, bestselling author of Step Up or Step Out and Certified Working Genius Facilitator, works with schools, corporates, and nonprofits around the world. Whether your team is navigating AI-driven change, building a high-performing culture, or developing leaders who can lead through disruption, Jonno delivers keynotes, workshops, and executive team offsites that create lasting impact. To book Jonno for your next event, email jonno@consultclarity.org.

About the Author

Jonno White is a Certified Working Genius Facilitator, bestselling author, and leadership consultant who has worked with schools, corporates, and nonprofits across the UK, India, Australia, Canada, Mongolia, New Zealand, Romania, Singapore, South Africa, USA, Finland, Namibia, and more. His book Step Up or Step Out has sold over 10,000 copies globally, and his podcast The Leadership Conversations has featured 230+ episodes reaching listeners in 150+ countries. Jonno founded The 7 Questions Movement with 6,000+ participating leaders and achieved a 93.75% satisfaction rating for his Working Genius masterclass at the ASBA 2025 National Conference. Based in Brisbane, Australia, Jonno works globally and regularly travels for speaking and facilitation engagements. Organisations consistently find that international travel is far more affordable than expected.

To book Jonno for your next keynote, workshop, or facilitation session, email jonno@consultclarity.org.

Next Read: 13 Proven Keys for Leading Your Team Through AI

Artificial intelligence is no longer a future problem. It is a present leadership challenge. Stanford HAI's 2025 AI Index found that 78 per cent of organisations reported using AI in 2024, up from 55 per cent just one year earlier. The technology is moving. The question is whether your leadership is keeping pace.

Here is what most leaders miss entirely. The biggest barrier to successful AI adoption is not the technology. It is not the budget. It is not even the tools. McKinsey's 2025 workplace report is blunt: the bottleneck is leaders who are not steering fast enough.

Keep reading: https://www.consultclarity.org/post/leading-team-ai