Maintaining relevance and purpose as we age requires letting go of entitlement based on experience, embracing genuine curiosity about new things, and focusing our energy on meaningful connections and contributions within our immediate sphere of influence rather than consuming anxiety-inducing information we cannot control.

Three reasons to listen

• Explore how to maintain relevance and purpose as you age without falling into entitlement or becoming disconnected from younger generations.
• Understand the balance between bringing wisdom from experience and staying curious about new developments in a rapidly changing world.
• Rethink what legacy means beyond career achievements, focusing on love, connection, and positive impact on the people directly around you.

Episode highlights

• [00:00] Introduction: A Special Episode in New York
• [01:35] Hitting the Big 6-0: Expectations vs. Reality
• [03:15] Life 6.0 and Finding Comfort in Your Own Skin
• [04:45] Navigating Age Discrimination and Bias in Tech
• [06:50] The Duty of Curiosity and Learning AI
• [08:10] Combating the Fear of Irrelevance at 3:00 AM
• [10:20] Neolithic Floods: The Evolutionary Value of Elders
• [12:35] Defining Legacy: Family, Capitalism, and Spirit
• [15:45] The Power of Love and Connection in Teams
• [17:15] Managing Stress: Moving from Global News to Local Influence
• [19:30] Closing: Celebrating in New York

Links

• Track and improve your team performance with Squadify
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AI transformation is fundamentally a human transformation, not a technology project. Success depends on taking deliberate steps to build AI literacy across your entire organisation while managing fear and maintaining team cohesion.

Most companies are still at the beginning of their AI journey. The key is to start with a clear plan that's reviewed regularly, ensure everyone from board level to front desk has basic AI literacy, and create psychological safety by addressing fears about job loss.

Stephen Hunt is serial entrepreneur whose AI journey dates back to 2011, when he used machine learning and neural networks to for ad targeting. He founded the Square Wave initially as a hobby project to help him understand AI, and he now works with clients on AI transformation, providing training and helping organisations develop AI strategies.

Three reasons to listen

• Understand the leadership, rather than the technical challenges posed by AI transformation
• Start building AI literacy immediately through research, prompting, and training
• Reframe AI as an opportunity for humans to be amplified rather than replaced

Episode highlights

• [00:12:53] What opportunities is AI presenting right now?
• [00:19:46] How to start taking advantage of AI
• [00:22:12] Three core AI literacy skills
• [00:26:40] Start with clarity
• [00:31:12] Where to start
• [00:35:52] Steve's media recommendation
• [00:38:12] Takeaways from Pia and Dan

Links

• Connect with Steve via LinkedIn
• The Square Wave
• Startups Decoded – Steve’s podcast recommendation
• Track and improve your team performance with Squadify
• Leave us a voice note

Many groups calling themselves teams are actually "TINOs" (Teams In Name Only) — collections of individuals focused on their own functional KPIs rather than collective goals. Transforming them into real teams needs three critical elements: a shared goal that transcends individual targets, genuine interdependence through cross-functional strategies, and executing together on making work visible and collaborative.

Three reasons to listen

• Identify the telltale signs you’re in a Team in Name Only
• Transform TINO behaviour into genuine teamwork
• Build psychological safety and interdependence amongst team members so they feel supported rather than isolated

Episode highlights

• [00:01:58] What is a TINO?
• [00:05:31] Defining a clear team
• [00:10:27] The challenges of increased visibility
• [00:12:53] You don't need to wait for a crisis

Links

• Track and improve your team performance with Squadify
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Teams often struggle with hidden dysfunctions that disguise themselves as positive behaviours, like pretending everything’s fine when it isn't, making decisions in corridors rather than as a team, and heaping blame on a single person rather than addressing systemic issues.

These patterns are particularly insidious because they hide under seemingly good intentions, making them difficult to spot and address.

Noj Hinkins is a team coach and leadership development consultant. He’s been working with senior teams for the past 15-20 years, typically at director level and above, doing one-on-one coaching, team building, and leadership development work. He specialises in identifying dysfunctions that can hold teams back.

Three reasons to listen

• Recognise when toxic positivity is preventing your team from addressing real problems and creating a disconnect between team members
• Identify and eliminate covert processes that override team decisions
• Spot scapegoating patterns where teams blame one person for systemic issues

Episode highlights

• [00:12:50] Team patterns in 2026
• [00:14:19] Toxic positivity
• [00:24:23] Covert process
• [00:30:33] Scapegoating
• [00:41:39] What to do first if you spot these patterns
• [00:43:34] Noj's media recommendation
• [00:44:53] Takeaways from Dan and Pia

Links

• Covert Processes at Work, by Robert Marshak
• So Far So Good, by the Blue Moon – Noj’s media recommendation
• Track and improve your team performance with Squadify
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In a working world where the conversation is increasingly dominated by AI, we need to consciously prioritise human connection and old-school practices, like face-to-face conversations, physical books, and time for deep thinking, to avoid becoming trapped in a cycle of constant acceleration that ultimately undermines our wellbeing and what makes us fundamentally human.

Jon Whittle is the former CEO of CSIRO's Data61, Australia's national AI research and development centre. He led a team of around 500 scientists, engineers and support staff across Australia. Jon’s working is transitioning to helping organisations understand and adopt AI in an effective, human-centred way, particularly with boards and leadership teams.

Three reasons to listen

• To reframe AI adoption around human needs rather than pure efficiency
• To discover the risks of outsourcing human connection to AI
• Ao learn how to adopt old-school practices that preserve your humanity

Episode highlights

• [00:10:24] Leading hundreds of scientists and engineers
• [00:13:14] What it means to be human in an AI world
• [00:23:25] The danger of sharing problems with AI rather than other humans
• [00:31:33] What Jon has learned from classical Indian dance
• [00:36:18] AI for Business
• [00:39:55] Jon's media recommendation
• [00:42:06] Takeaways from Pia and Dan

Links

• Connect with Jon via LinkedIn
• AI for Business – Jon’s book
• CSIRO presents: Everyday AI – Jon’s podcast
• Turning Down the Noise – Jon’s media recommendation
• Track and improve your team performance with Squadify
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Leading through uncertainty means accepting complexity rather than fighting it. The most powerful tool for doing so is clarity.

While conventional wisdom suggests focusing on trust-building and communication skills, Squadify data shows that starting with clarity – specifically around shared goals, processes, and measures of success – is what actually transforms groups of individuals into cohesive teams and drives performance.

Three reasons to listen

• Learn to befriend uncertainty and focus on what you can influence
• Discover how to build team cohesion through clarity rather than trust exercises
• Understand how teams work together as the key performance driver

Episode highlights

• [00:02:31] Jamie's question
• [00:03:36] Befriending uncertainty
• [00:05:38] Are you a team, or a TINO?
• [00:08:51] The sixth dysfunction in teams
• [00:11:12] The trigger question for high performance
• [00:13:42] Doubling down on humanity
• [00:16:41] Coming up in 2026

Links

• Track and improve your team performance with Squadify
• Leave us a voice note

Autonomy in teams requires clarity, not chaos. Successful autonomous teams need defined authority over coordination, transparent processes, and intentional facilitation to empower people whilst maintaining alignment and effectiveness.

Jon Barnes is a facilitator, coach, and co-founder of Pala, and he focuses on helping teams and organisations become more autonomous. His approach spans a spectrum from making hierarchies feel less hierarchical, to helping teams operate fundamentally without line management.

Three reasons to listen

• Create clarity in team structures by defining authority and decision-making processes upfront
• Build psychological safety and engagement through effective facilitation techniques
• Balance empowerment with appropriate holding by learning when to let go and when to provide direction

Episode highlights

• [00:12:22] the two types of waste in teams
• [00:18:10] What does leadership look like away from hierarchy?
• [00:21:44] Self-management in highly-pressurised teams
• [00:25:37] The myth of self-governance
• [00:27:12] Unhelpful self-management patterns
• [00:32:47] Jon's biggest two levers
• [00:35:32] Jon's media recommendation
• [00:36:59] Dan's media recommendation
• [00:41:12] Takeaways from Pia and Dan

Links

• Connect with Jon via LinkedIn
• Humankind, by Rutger Bregman
• Lonesome Dove, by Larry McMurtry – Jon’s media recommendation
• The Ministry of Time, by Kaliane Bradley – Dan’s media recommendation
• From the Core, by John Wineland – Pia’s media recommendation
• Track and improve your team performance with Squadify
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There's a scientific basis for understanding optimal team size, including research on connection complexity, social loafing, and performance data that challenges common assumptions about how many people should work together effectively.

In this Q&A episode, Dan and Pia dive into the science and the data, to discover the optimum team size.

Episode highlights

• [00:01:27] Is it OK to have a big team?
• [00:04:15] The Ringelmann effect
• [00:07:22] What's the optimum team size?
• [00:08:18] When is a team a group?
• [00:10:20] What the Squadify data shows

Links

• Ringelmann effect
• Track and improve your team performance with Squadify
• Leave us a voice note