Most business owners who hit a ceiling with delegation aren't failing at delegation. They're running into a structural problem: a capability layer underneath delegation that only the business owner can hold.

In this episode of Make Time, Sam Hurley breaks down what that layer is, what the research says about why it can't be delegated, and why AI strategy has made the problem impossible to ignore.

THE FOUR THINGS ONLY THE BUSINESS OWNER CAN DO

1. Strategic direction. Not the strategic plan document — the lived clarity about what the business is for, who it serves, and what it refuses to do. Senior teams can refine and stress-test it. They can't author it.

2. Cultural tone. How the business feels when decisions are being made under pressure. Whether disagreements are safe. Whether the truth-teller in the room gets rewarded or sidelined. It isn't usually documented — it's modelled by the business owner on hard days and then copied.

3. Trust architecture. Who gets authority for what. How decisions escalate. Who owns the call when two senior people disagree. The architecture can be designed collaboratively. Only the business owner can enforce it consistently across the cases where it's painful.

4. AI strategy. The clearest current case. You can outsource AI deployment. You can't outsource AI strategy. When you try, the team adopts tools fast and the business loses its shape. McKinsey's State of AI data shows the pattern at scale: most organisations are adopting AI; most are not capturing the value they expected. The gap isn't the tool.

RESEARCH REFERENCED IN THIS EPISODE

• Chris Argyris, "Teaching Smart People How to Learn," Harvard Business Review (1991) — on defensive reasoning in competent senior teams and what stops knowledge translating into action
• Brinkerhoff's Success Case Method — why only around 30% of training outcomes survive the return to the workplace, and what the business owner does that determines whether they do
• Deci & Ryan, Self-Determination Theory (2008) — motivation degrades when people are asked to deliver outcomes they have no authority to set
• McKinsey State of AI — the value realisation gap in AI adoption

TAKE THE CAPABILITY GAP DIAGNOSTIC

A complimentary tool that reads your capability across the four layers covered in this episode. Not a lead generation tool — a genuinely useful starting point for business owners and the coaches who work with them.

https://www.25eight.co/the-small-business-capability-gap?utm_source=podcast&utm_medium=podcast&utm_campaign=H7&utm_content=2709214057&utm_term=aspiration

ABOUT MAKE TIME

Hosted by Sam Hurley, Founder of 25eight — a certified B Corp building capability for SMEs and the coaches who work with them. Each episode covers one capability idea: specific, evidence-based, and immediately applicable.

www.25eight.co

Make Time host, Sam Hurley, explores the pressure many small business owners are feeling right now: the sense that everyone else is moving faster with AI, while you are still trying to run the business, serve customers, manage the team, make decisions, and keep up.At the centre of this episode is a simple but important reassurance:You are not behind.Drawing on recent AI adoption research from Deloitte and McKinsey, as well as the long-standing idea of the “Knowing Doing Gap”, Sam explains why using AI is not the same as benefiting from AI. Many businesses are adopting tools quickly, but not necessarily seeing better outcomes.The reason, Sam argues, is not a lack of tools. It is a capability gap.This episode introduces the idea of the Capability Era, a moment where the businesses most likely to benefit from AI are not necessarily the fastest adopters, but the ones building stronger human, leadership, business, digital and AI capability underneath the tools.Sam explores why speed can be useful, but speed without capability often creates more complexity, more noise, and more confusion. A business can have multiple AI subscriptions and still lack the clarity, decision rhythm, customer understanding, team alignment, or operating system needed to make those tools valuable.You do not need to chase every AI tool. You need to understand what is worth amplifying.Find your capability gapIf you would like a clearer picture of your strengths and where your business may benefit from deeper capability, the complimentary 25eight Small Business Capability Gap Index was built for exactly that.https://capability-gap.25eight.coChapters00:00 The Reality of Running a BusinessSam opens with the real experience of running a small business, where AI can feel like one more fire to manage rather than a clear opportunity.02:14 AI Adoption and the Value Realisation GapWhy AI adoption is increasing quickly, but many organisations are still not seeing the outcomes they expected.06:28 The Capability Era: Building for the FutureSam introduces the Capability Era and explains why underlying capability may now matter more than speed of adoption.09:06 The Importance of Capability Over SpeedA look at why fast AI adoption without clarity, systems, and capability can create complexity rather than progress.11:10 Framing Your Business JourneyWhy seeing yourself as “falling behind” can be exhausting, and why the more useful identity is that of a builder.15:47 Identifying Your Strengths and Moving ForwardSam closes by helping business owners think about what they already know, what makes them different, and where AI could meaningfully amplify their strengths.Key topicsWhy running a business can already feel overwhelming before AI is added to the mixWhy AI adoption is not the same as AI capabilityThe difference between speed of adoption and depth of capabilityWhy many businesses are experiencing a value realisation gap with AIHow the Knowing Doing Gap applies to AI adoptionWhat the Capability Era means for small business ownersWhy capability can become a more durable advantage than speedHow AI can create complexity when the underlying business is unclearWhy comparison to other business owners can be misleadingThe role of self-efficacy in business growth and implementationWhy tools do not replace strategy, clarity, or customer understandingHow to identify what is worth amplifying in your businessKeywordsAI in business, AI for small business, AI adoption, AI capability, AI strategy, artificial intelligence for small business, business capability, capability gap, Capability Era, small business growth, business leadership, business strategy, digital capability, leadership capability, AI readiness, value realisation gap, Knowing Doing Gap, self-efficacy, business systems, working smarter, business owner burnout, entrepreneurship, future of work, AI tools, small business marketing

Make Time host, Sam Hurley, explores one of the most important emerging shifts in artificial intelligence for small and medium-sized businesses: the move from cloud-based AI tools toward local AI models owned and controlled by the business itself.

While most businesses currently interact with AI through browser-based tools like ChatGPT, Claude, Copilot, and Gemini, Sam explains why a transformation is underway. Smaller, highly capable AI models are now becoming accessible enough to run locally on business-owned hardware, creating new opportunities around privacy, cost control, customisation, and strategic independence.

The episode breaks down the hidden trade-offs involved in cloud AI adoption, including data governance concerns, rising subscription dependency, and the operational risks of relying entirely on third-party platforms.

Sam explains why this matters particularly for businesses handling sensitive customer information, proprietary processes, regulated data, or complex operational workflows.

The conversation introduces the rise of local AI models and Small Language Models (SLMs), showing how rapidly improving model quality, lower infrastructure costs, and easier deployment tools are making local AI viable for smaller operators for the first time.

Sam explores where local AI creates the most value, including:

internal knowledge management

document review

compliance support

quoting and estimation

proprietary workflow automation

The episode also examines why the future of AI in business is likely to be hybrid rather than all-or-nothing, with businesses using local AI for sensitive, repetitive, operational work while leveraging larger cloud models for broader reasoning and creative tasks.

At its core, this episode is not simply about AI tools. It is about strategic ownership, capability building, and designing an AI approach that aligns with the way your business actually operates.

Want to understand where your capabilities and AI Readiness maps - take the complementary Small Business Capability Gap diagnostic to get a full report - https://capability-gap.25eight.co

What you’ll learn in this episode:

The difference between cloud AI and local AI models

Why businesses are beginning to move AI infrastructure in-house

The hidden risks of cloud AI subscriptions and data sharing

How Small Language Models (SLMs) are changing AI adoption

Why local AI can dramatically reduce long-term costs

The business advantage of training AI on your own data

Practical use cases for local AI in small businesses

Why the future of AI is likely hybrid rather than fully cloud-based

What small businesses should consider before adopting AI infrastructure

Key takeaway:

The businesses that benefit most from AI over the next decade may not be the ones adopting the most tools.

They may be the ones thinking most carefully about ownership, capability, data control, and where AI fits strategically inside their operations.

Notable insight:“The AI you build into your operations does not have to sound like everyone else’s. It can sound like yours.”

Chapters:

00:00 – The Shift in AI for Small Businesses

01:25 – Understanding Cloud AI Limitations

03:27 – The Rise of Local AI Models

08:39 – Practical Applications of Local AI

11:00 – Implementing Local AI in Your Business

12:13 – Strategic Considerations for AI AdoptionResources &

Technologies Mentioned:

ChatGPT

Claude

Gemini

Copilot

Ollama

Mistral 7B

Gemma2

Phi-3

Gartner AI forecasts

Local AI, small language models, AI for small business, cloud AI, AI infrastructure, local LLMs, AI privacy, AI data security, business AI strategy, artificial intelligence, AI adoption, AI in Australia, AI business tools, digital transformation, small business technology, AI governance, AI operations, hybrid AI strategy, sovereign AI, AI capability

Make Time host, Sam Hurley, explores one of the biggest misconceptions surrounding AI adoption in business today: the assumption that AI tools alone create value.

Drawing on research from organisations including McKinsey, Stanford, MIT, and OECD, Sam explains why many businesses are investing heavily in AI yet failing to see meaningful returns. While AI adoption has accelerated rapidly, capability development has not kept pace.

The result is often faster output, but not necessarily better outcomes.

At the centre of this episode is a simple but powerful framework:

Capability × AI = Output

AI, Sam argues, is not an addition to business performance. It is a multiplier. When underlying capability is strong (clear leadership, aligned teams, sound operations, strategic thinking, and digital literacy), AI can become transformative. But when capability is weak, AI often amplifies confusion, misalignment, and inefficiency at scale.

The conversation traces the evolution of technological disruption through the lens of the printing press, showing how every major technological shift eventually stops being about the tool itself and starts becoming about human capability. Sam argues that AI is now entering that same phase.

The episode introduces the four capability layers AI amplifies in business:

• Human capability
• Leadership capability
• Business capability
• Digital and AI capability

Alongside these, Sam explores the one category AI cannot create: embedded human capability. These are the capabilities developed through real-world experience, pressure, judgment, and repeated application under genuine business conditions.

This episode reframes the AI conversation away from tools, prompts, and automation hype, and toward the deeper question every business leader should be asking:

“What exactly am I multiplying?”

Key topics

• Why many businesses are failing to see ROI from AI
• The hidden reason AI can create distraction instead of value
• Why AI is best understood as a multiplier, not a replacement
• The four capability layers AI amplifies
• The difference between digital capability and embedded human capability
• Why leadership and operational clarity matter for AI adoption
• How capability becomes the real competitive advantage in the AI economy
• Why small businesses may be better positioned than they realise

AI does not fix unclear strategy, poor leadership, weak operations, or low confidence. It amplifies whatever already exists underneath. The businesses that benefit most from AI will be those investing in the capability behind the tools.

“Weak capability multiplied by AI equals fast mediocrity at scale.”

Find your capability gap

• 25eight Small Business Capability Gap Index

Keywords: AI in business, AI ROI, artificial intelligence for small business, business capability, leadership capability, AI strategy, digital transformation, AI readiness, small business growth, business systems, human capability, AI adoption, entrepreneurship, business leadership, capability building, future of work, AI economy, strategic thinking

Make Time host, Sam Hurley, opens season two by exploring one of the most significant shifts facing small and medium-sized businesses today: the closing gap between individuals and large organisations, driven by the rapid advancement of AI.

Drawing on over a decade of experience supporting business leaders, she reflects on a growing pattern. As access to information, tools, and strategy becomes universal, more business owners are turning to external systems, blueprints, and “proven frameworks” in search of certainty. While these can provide short-term relief, Sam explains why they rarely lead to meaningful, lasting change.

The conversation explores the psychology behind why business owners are drawn to step-by-step systems, especially in times of uncertainty, and why this response is both natural and limiting.

Sam introduces a critical distinction: systems can provide structure, but they cannot replace judgment, context, or the ability to adapt when conditions change.At the centre of this episode is a powerful idea. In the AI economy, success is no longer determined by access to tools. It is determined by the quality of human capability behind those tools.

AI acts as a multiplier, amplifying both strengths and weaknesses, making capability the true competitive advantage.Sam outlines why capability compounds over time, while external systems decay. She explains how businesses that invest in their ability to think clearly, make decisions, and apply knowledge in context will outperform those that rely on borrowed solutions.

This episode sets the foundation for season two, where the focus shifts to building practical capability across human, leadership, business, and digital domains. It reframes growth not as following the right system, but as becoming the kind of leader who can navigate complexity with confidence.Want to benchmark your capabilities and AI readiness of your business?

Take our complementary diagnostic tool to uncover your strengths, spot your gaps and where to focus your efforts for maximum impact. It takes less than 10 minutes - https://capability-gap.25eight.co

What you’ll learn in this episode:

Why AI has levelled the playing field for small businesses

The hidden psychology behind the appeal of business “blueprints”

Why systems fail to deliver long-term results

The difference between borrowed solutions and built capability

How AI acts as a multiplier, not a shortcut

Key takeaway:In a world where tools and information are abundant, the advantage shifts to those who can think, decide, and act effectively.

Capability is no longer optional. It is the infrastructure that determines business success.

Why human judgment and discernment are becoming more valuable

The five capabilities small business leaders need to build right now.

Notable insight:“AI has made the quality of your outputs… essentially independent of the size of your organisation.”

Timestamps:

00:00 – The shift in access and opportunity

02:00 – Why we’re drawn to systems and blueprints06:00 – The problem with following external frameworks

10:00 – AI as a multiplier (and the hidden risk)

14:00 – Capability vs systems: what actually compounds

18:00 – The five capabilities that matter most

23:00 – What this means for small business leaders

26:00 – Season two: what’s coming next

Keywords:

AI for small business, capability building, business strategy, decision making, entrepreneurship, small business growth, AI economy, leadership capability, digital capability, human skills in business, business mindset, adaptability, AI literacy, strategic thinking, business coaching, 25eight, Make Time podcast

Make Time host, Sam Hurley, explores one of the most important things to get right early in business: understanding the problem you solve and why it matters.Drawing on over a decade of experience working with small and medium-sized business leaders, she reflects on the patterns behind business success and failure. While external factors play a role, Sam explains why outcomes are ultimately shaped by the decisions business owners make, and how those decisions are often limited by the knowledge available at the time.The discussion traces the evolution of 25eight’s approach, from solving for time constraints through accelerated learning, to uncovering the deeper drivers of success. It highlights why knowledge alone is not enough, and why the ability to apply that knowledge consistently under real conditions is what separates businesses that survive from those that thrive.Sam introduces the role of diagnostics, personalised learning, and the often overlooked human elements such as self-efficacy, clarity, and intrinsic motivation. She explains how these factors influence completion, implementation, and ultimately business performance.As the final episode of season one, this conversation sets the foundation for season two, where the focus will shift to building capability across human, leadership, business, and digital domains in a way that is practical, applied, and immediately useful.Keywords: small business growth, problem-solution fit, decision making, business strategy, capability building, self-efficacy, intrinsic motivation, leadership capability, digital capability, AI in small business, personalised learning, business diagnostics, entrepreneurship, business success.

Make Time host, Sam Hurley, CEO, 25eight explores the critical difference between knowledge and capability, and why this gap is one of the biggest constraints to small business growth.She explains why knowing more does not necessarily lead to better results, drawing on research from organisational theory, education, and the AI economy. In a world where knowledge is increasingly accessible and abundant, Sam makes the case that true advantage now comes from the ability to act, decide, and implement effectively.The discussion introduces the concept of dynamic capabilities and explores what it actually takes to build capability in a business. It also challenges traditional approaches to learning and development, highlighting why most programs fail to create lasting change and what is required instead.Keywords: knowledge vs capability, small business growth, business capability, AI economy, dynamic capabilities, leadership skills, business strategy, self-efficacy, decision making, entrepreneurship, small business success, capability gap, digital transformation, business education, growth mindset.Takeaways-- Knowledge is widely accessible and increasingly commoditised in the AI economy.-- Capability is the ability to act effectively, consistently, and under real conditions.-- The gap between what you know and what you do is one of the biggest constraints to business growth.-- Dynamic capabilities (sensing, seizing, reconfiguring) are key drivers of business performance.-- Two people with the same knowledge can achieve very different outcomes based on their ability to apply it.-- Self-efficacy (belief in your ability to act) plays a critical role in performance.-- AI is accelerating access to information but increasing the importance of human capability.-- The most in-demand skills globally are capabilities such as analytical thinking, adaptability, leadership, and resilience.-- Businesses that build strong capability use AI to amplify results, while others create more noise without impact.-- Capability is built through application, feedback, coaching, and reflection—not just learning.-- Most traditional education focuses on information delivery, which leads to low retention and limited behavioural change.-- Diagnosis of capability gaps is critical before attempting to solve business problems.-- Capability is both individual and collective, including systems, decision-making, and team dynamics.-- Building capability proactively is faster and less costly than learning through crisis.-- Real business growth comes from the ability to act on knowledge, not just acquire it.Do you want to benefit from Sam's coaching and mentorship whilst building your growth strategy and strategic leadership skills?25eight's award winning eight-week Next-Level Growth Program helps you get clear and confident to take your business to the next level, on your own terms and without burning out. Find out more here https://www.25eight.co/next-level-growth-programSign up for the weekly 25eight newsletter to get business tips and resources to help you work smarter, not harder - https://www.25eight.co/newsletter-sign-upSound Bites"Knowledge is not capability.""Information is everywhere. The ability to act is what creates advantage."Chapters00:00 The Knowledge vs Capability Gap02:10 What Knowledge Actually Is04:15 What Capability Looks Like in Practice06:45 The Research Behind Capability and Performance09:30 The Capability Approach and Real Development12:15 Why This Matters in the AI Economy15:10 The Three Core Capabilities: Sensing, Seizing, Reconfiguring18:20 Why Most Learning Doesn’t Lead to Results20:30 What Actually Builds Capability23:00 Real Business Outcomes from Capability Development25:30 Final Reflection: What Are You Actually Able to Do?...

In this weeks episode of Make Time, host Sam explores the gap between digital presence and effective digital strategy for small businesses. She emphasises the importance of understanding customer journeys, measuring results meaningfully, and acting with intention in a noisy digital landscape, especially with the increased adoption of AI tools. Are you a small business owner or leader who wants to build the capability, clarity and systems to actually get value from AI and grow your business?25eight's award-winning Next-Level Growth Program helps you develop the strategic thinking, systems design and decision-making foundations that make everything, including AI, work harder for your business.Find out more here: https://www.25eight.co/next-level-growth-programSign up for the weekly 25eight newsletter to get business tips and resources to help you work smarter, not harder: https://www.25eight.co/newsletter-sign-upKey TopicsThe difference between online presence and digital strategyThe importance of understanding customer journeysMeasuring what matters in digital marketingThe impact of AI and content noiseDeveloping digital capability over timeSound Bites"Digital marketing is both a blessing and a curse""Visibility alone is no longer enough in digital marketing""Act with intention to stand out in a noisy digital world"Chapters00:00 The Digital Marketing Dilemma02:14 Understanding Digital Presence vs. Digital Strategy04:57 The Importance of Digital Capability08:03 Shifting from Activity to Intentional Strategy10:36 Navigating the Noise of Digital MarketingKeywordsdigital marketing, small business, digital strategy, customer journey, measurement, AI, online presence, marketing effectiveness

In this week's episode of Make Time, Sam explores how small business owners often accumulate too many digital tools in response to problems, leading to decreased productivity. She offers strategies to streamline your digital environment, adopt intentional technology, and ultimately work smarter, not harder.

The Digital ROI Formula Sam refer's to:

Digital Investment Score = (TxAxFxS) / (CxIxR)Value Side (numerator)

T = Time saved (per week)A = Adoption Likelihood (1-5)

F = Frequency of Use (1-5 - Daily, 5 - Weekly, 3 - Monthly, 1)

S = Strategic Alignment (1-5) (Does this support growth, systems or scale?)

Cost Side (denominator)C = Cost (monthly $ equivalent)

I = Implementation Effort (1-5)

R = Risk of Complexity (1-5)

Score

Over 5 - Strong investment

2-5 - Conditional (may need redesigning or better implementation plan)

Under 2 - Do not invest

Are you a small business owner or leader who wants to build the capability, clarity and systems to actually get value from AI and grow your business?

25eight's award-winning Next-Level Growth Program helps you develop the strategic thinking, systems design and decision-making foundations that make everything, including AI, work harder for your business.

Find out more here: https://www.25eight.co/next-level-growth-program

Sign up for the weekly 25eight newsletter to get business tips and resources to help you work smarter, not harder: https://www.25eight.co/newsletter-sign-upKey

Topics

Reactive vs. intentional technology adoption

The cost of digital overload and fragmentation

How to audit and streamline your digital toolsThe role of processes in choosing the right tools

Future of AI in business productivity

Sound Bites

"Most small business owners use 12 to 20 tools."

"Manual work and overlapping tools waste time."

"Conduct a digital tools audit in one hour."

Chapters00:00 The Digital Tool Overload09:21 Reactive vs. Intentional Technology Adoption17:18 Building an Effective Digital Environment

Keywordsproductivity, small business, digital tools, tech stack, automation, efficiency, digital transformation, workflow, AI tools, business strategy

In this episode, Sam tackles one of the most common frustrations small business owners face with AI: trying it, not getting the results they expected, and wondering what went wrong. The answer, more often than not, isn't the tool. It's that AI has been dropped into a business that isn't yet ready for it. Sam introduces the concept of the capability-technology mismatch, draws on McKinsey and World Economic Forum research, and uses 25eight's own Small Business Capability Gap Index to show what readiness actually looks like in practice. She reframes AI as a multiplier, not an addition and explains why that distinction changes everything about how and when to adopt it. The episode closes with five practical steps for building the right foundations, and four honest diagnostic questions every business owner should sit with before investing further in AI tools.Are you a small business owner or leader who wants to build the capability, clarity and systems to actually get value from AI?25eight's award-winning Next-Level Growth Program helps you develop the strategic thinking, systems design and decision-making foundations that make everything, including AI, work harder for your business.Find out more here: https://www.25eight.co/next-level-growth-programSign up for the weekly 25eight newsletter to get business tips and resources to help you work smarter, not harder: https://www.25eight.co/newsletter-sign-upTakeawaysMost small businesses that adopt AI don't get the results they expected, not because the tools don't work, but because the foundations aren't there yet. AI is a multiplier: it amplifies what already exists, good or bad. Broken processes don't get fixed by AI, they just break faster. The businesses getting the most from AI are operating at a strong base level of business capability before they introduce it. The skills most in demand in the AI economy are human ones: analytical thinking, strategic reasoning, resilience and leadership. AI can automate a workflow, but someone has to design it first. That's a thinking skill, not a technology skill. The five-step sequence that works is clarity, documentation, systemisation, intentional AI adoption, and iteration, in that order. The gap between digital capability and business capability in many small businesses is what 25eight's Momentum Framework calls stalled: not failing, but not moving either. The most durable competitive advantages are the ones AI can't replicate: judgment, relationships, contextual knowledge, and the ability to lead through complexity. The businesses that benefit most from AI won't be the ones who adopted it first. They'll be the ones who were ready for it.Sound Bites"AI doesn't fix what's broke. It just breaks faster.""Think of AI as a multiplier, not an addition. Zero multiplied by three is still zero.""Extraordinary tools in the hands of unprepared operators don't produce extraordinary results.""The gap isn't in technology access. It's in the capability to use it.""AI can inform, help and execute. But it can't decide what matters. That's your job."Chapters00:00 Why Most AI Adoption Falls Short02:32 The Capability-Technology Mismatch07:05 The Human Skills AI Can't Replace11:23 What the Data Shows: Systemise First, Then Adopt13:05 The Five-Step Sequence for AI Readiness17:57 Stalled: When Good Businesses Stop Moving Forward19:54 Four Questions to Ask Before Your Next AI InvestmentKeywordsartificial intelligence, AI adoption, small business, business capability, human capability, AI strategy, business foundations, systems design, strategic thinking, decision making, business growth, SME, capability gap, AI readiness, digital transformation, business leadership, productivity, working smarter, 25eight, AI economy