ZERO SHOT - AI & Business. Anti-Hype.

Glass Box

ZERO SHOT gives leaders clarity on AI without the hype. Hosts James (The Technical Realist) and Llew (The Boardroom Proxy) unpack what truly matters at the intersection of AI, business and strategy in Australia. From sovereign capability to agentic workflows, we break down the decisions shaping the country’s technological future and why they matter for Boards and executives. No noise, no jargon, just grounded insight. James: Chief AI Officer at Cadent | AI Governance & Strategy Executive (Ethical AI) Llew: Managing Director at Advancer | AI Strategy & Digital Produced by Yennia La Rotta.

  1. 6d ago

    EP 37: AI Sovereignty | Are You Locked In and Don’t Know It?

    ⁠⁠⁠Shape the showTwo businesses run the exact same AI with the exact same results. The difference only shows up the day one of them tries to leave. Which one are you? In Episode 37 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury ⁠ go underneath the postcode of where your data sits and into what AI sovereignty actually means. Once you connect AI to your email, files, and customer records, the hard questions begin: who can reach your data, who controls the environment it lives in, and could you ever walk away. This is a grounded, no-hype breakdown of why “stored in Australia” is the shallowest layer of sovereignty, and it closes with a practical six-step exit plan you can act on. Key Highlights Location tells you where data sits, sovereignty tells you who controls itEven Anthropic doesn’t own its chips or compute, dependencies run deepSecurity, privacy, and sovereignty are three different problems, not oneThe connector question: who else in the business can see what you hook upYou don’t need the same control everywhere, match the workload to the riskTreat your AI stack like an investment portfolio, cloud, device, and sovereignLocal models on owned hardware are coming as the chip market resetsYour data must be genuinely exportable, that is most of the battleThe Sovereignty Test (ask before any important AI workload) Where is your data stored and processed?Who can reach it, technically, contractually, and legally?Who controls the infrastructure, the model, and your critical dependencies?Choice, could you move the workload, model, or data somewhere else?Continuity, could you keep operating if the provider vanished tomorrow?Tools and Frameworks Mentioned GEV Decision Model - A fast, low-cost classifier-style model now going into real agent proposals as the AI brain for routing and data classification. Microsoft 365 Connectors for Claude - The integration that raises the practical access question of who else in a business can see connected inboxes and files. On-Premise and Self-Hosted Models - Locally deployed AI on owned hardware for regulated, high-stakes workloads, expected to grow as the RAM and NAND markets settle. LinkedIn Data Export - A real-world test of how hard providers make it to retrieve your own data, forced only by regulation. Connect with the Hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. Sponsor ⁠Cadent⁠This episode is brought to you by Cadent. When AI starts influencing decisions and recommendations that affect real people in regulated settings, someone has to make sure that AI is trustworthy, accountable, and defensible. Cadent plans, builds, operates, and governs full stack AI for high stakes industries, hosted onshore in Australia and measured against real business outcomes. Book a discovery call at cadent.au. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  2. Oct 5

    EP 36: AI vs Brokers - What Still Makes a Middleman Worth Choosing?

    ⁠⁠⁠Shape the showWhen AI can search, compare, and negotiate for you, which of the businesses built to do that for you still deserve to exist? In Episode 36 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury turn their attention to the intermediaries, the brokers, comparison sites, aggregators, and advisors whose entire model was being the layer between you and the market. After an AI insurance app launch wiped billions off broker stocks before lunch, the question is urgent. This is a grounded look at why these middlemen won in the first place, the tension that was always inside the model, and whether AI replaces them entirely or simply becomes their next channel. Key Highlights Why comparison sites and brokers won big over the last fifteen yearsThe pay-to-play tension hiding inside impartial recommendationsDoes AI replace the middleman or just become its next channelFirst-party data and MCP servers as the intermediary's lifelineAI companies want the picks and shovels, not the regulated liabilityRelationship-driven industries like finance may actually growThe hand or the robot test applied to brokers versus advisorsWe are not rational actors, and trust still wins the big decisionsTools and Frameworks Mentioned Claude by Anthropic - Positioned as a likely partnership player for regulated intermediaries, drawing a parallel to Google's early don't-be-evil positioning. Meta Muse - Meta's consumer AI assistant, the most downloaded free app in the US, recently blocked by Amazon over unauthorised agent browsing. Model Context Protocol (MCP) - The standard intermediaries will need to adopt to feed verified price, live availability, and real relationships into AI systems. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠Advancer⁠, the AI agency that cuts through the hype to deliver real, measurable results. They help Australian businesses identify where AI can genuinely create value, then design and build the agents, automations, and custom AI solutions that make those workflows work in practice. With over a hundred clients across Australia, visit advancer.com.au to move from ideas to implementation. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  3. Sep 27

    EP35: What Happens When AI Becomes the Customer?

    ⁠⁠Shape the show For decades you competed for human attention. So what happens when an AI is the one searching, comparing, and choosing on your customer's behalf? In Episode 35 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury explore one of the biggest shifts coming for every business that sells anything: the arrival of a new layer between you and your customer. When a buyer tells an AI to find the option that fits their budget, values, and long-term needs, you are no longer trying to win the person. You are trying to be understood, trusted, and shortlisted by the AI that represents them. This is a grounded look at what happens to competition, pricing power, brand, and customer relationships when comparison becomes effortless. Key Highlights A new intermediary now sits between your business and the buyerThe conversion moment has moved into a window you no longer controlBeing found is no longer enough, you have to be pickedWhat protects your margin when customers compare everything instantlyWeak differentiators fade, real ones get amplified by AIReviews, reputation, and verifiable trust become defensible valueGoogle and Meta hold the data advantage as AI becomes the buyerThe takeaway framework: machine chosen or human ownedTools and Frameworks Mentioned Claude Commerce Agents: Anthropic's blueprint for e-commerce, handling product search, comparison, and recommendations on the retailer side and inventory and pricing on the merchant side. Meta Muse: Meta's consumer AI assistant that leverages deep personal data to compare options and complete tasks like restaurant bookings, not yet available in Australia. GEV Decision Model: A very fast classifier-style LLM that returns machine-readable JSON rather than prose, useful for rapid data classification in pipelines and data lakehouses. Answer Engine Optimisation (AEO / GEO): The discipline of making a business legible, credible, and verifiable to AI so it surfaces inside AI-generated answers rather than traditional search. Machine Chosen or Human Owned: Zero Shot's framework for leaders to classify which parts of the customer relationship AI will decide and which must stay human led. Connect with the Hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape.Sponsors CadentThis episode is brought to you by Cadent. When AI starts influencing decisions and recommendations that affect real people in regulated settings, someone has to make sure that AI is trustworthy, accountable, and defensible. Cadent plans, builds, operates, and governs full stack AI for high stakes industries, hosted onshore in Australia and measured against real business outcomes. Book a discovery call at cadent.au. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  4. Sep 21

    EP 34: The SaaSpocalypse - What Happens When AI Becomes the User?

    For twenty years, being good at your job meant learning how to navigate software. So what happens when AI is the one clicking the buttons? In Episode 34 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury unpack one of the biggest shifts coming for enterprise software: when AI becomes the primary user, the whole relationship between humans, apps, and the companies that sell them starts to change. If you no longer open the CRM, the finance platform, or the payroll engine yourself, and an AI moves across those systems for you, then the questions get uncomfortable fast. Why do we still price software per human seat? What are we actually paying software companies for? And where does the durable value move to when the interface matters less? Key Highlights AI is becoming the intermediary between you and your dataSoftware goes less visible, not less important, especially under compliancePer seat pricing breaks the moment AI does the workThe shift from per user to per user plus consumptionVendors licensing models at roughly a fifty percent cut reshapes the economicsDon't rip out software at renewal, know what the vendor actually ownsData, business logic, and integrations are the hard things to replaceThere will be losers, and there will be trillion dollar winnersFive Questions to Ask Before Your Next Software Decision What are we actually paying for, access to a service or real work done?How much of this still needs a human to interact with the app directly?If AI performed more of this workflow, would per seat pricing still make sense?What does this vendor actually own, your data, workflows, and business logic?How is this vendor preparing for AI users, AI agents, and new pricing models?Tools and Frameworks Mentioned Minimax on AWS Bedrock - A high-performing open weight model now available on Amazon's cloud, offering frontier performance without model-level vendor lock-in. Microsoft Copilot Cowork - The agentic, consumption-based layer inside Copilot, illustrating the move from per seat to per user plus consumption pricing. ChatGPT with Astra - OpenAI's flagship model, referenced alongside Sam Altman's comments on pacing releases around alignment and safety. AI Orchestration - Coordinates actions across multiple systems and workflows through AI.Human Up the Stack - Moves people from operating software to supervising judgment and outcomes.Performance-Based Software Pricing - Links software cost to usage, outcomes or completed work instead of seats.Software Stack Audit - Reviews what a business is actually paying for, what still requires human interaction and where AI could change the economics.Technology Investment Portfolio - Treats software, AI and internal development as different investments with different risk and return profiles. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by Advancer, the AI agency that cuts through the hype to deliver real, measurable results. They help Australian businesses identify where AI can genuinely create value, then design and build the agents, automations, and custom AI solutions that make those workflows work in practice. With over a hundred clients across Australia, visit advancer.com.au to move from ideas to implementation. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  5. Sep 14

    EP 33 Data First - Is Your Business Actually AI-Ready?

    What if the biggest obstacle to AI isn’t the model, but the data underneath it? In Episode 33 of ⁠⁠⁠⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury go beneath the AI interface to explore the data foundations that determine whether enterprise AI actually works. They unpack AI readiness, data quality, data governance, data lakehouses, structured and unstructured data, context windows and why the latest AI model cannot compensate for unreliable information underneath it. Key Highlights Why AI projects increasingly fail because of dataWhat good and bad data actually meanWhy newer AI models cannot fix weak foundationsHow data lakehouses support modern AI systemsThe untapped value inside unstructured business dataWhy data governance is becoming a board issueHow second screening validates AI generated business insightsWhy quality context matters more than data volume Tools and Frameworks mentioned in this episode Databricks Lakehouse⁠ - Combines structured warehouse data with flexible unstructured data for AI workloads. Second Screening - Compares AI generated results against established reporting systems before increasing autonomy.Context Window Management - Limits AI to the most relevant information for more reliable, efficient outputs.Microsoft Fabric⁠ - Data and analytics platform supporting lakehouse architectures and enterprise AI workloads. Snowflake⁠ - Cloud data platform referenced for organising and accessing enterprise data for AI. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by Cadent, the experts in embedding high ROI artificial intelligence into complex, high stakes industries. From technical development to responsible AI governance, they ensure your technology is perfectly aligned with your humanity. Visit cadent.au to build a more certain future for your organisation. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  6. Aug 30

    EP 32: Is AI Making Us Smarter or More Dependent? | Human Agency, Trust & AI

    What happens when AI gives us more capability, but less human agency? Recorded live from the Green Room at Something Digital in Brisbane, James Gauci and Llew Jury explore three growing tensions in AI and business: automation versus human agency, bigger systems versus fragile trust, and greater intelligence versus better decision making. They unpack AI dependency, responsible AI adoption, workplace culture, governance and why community and authentic human connection may become more valuable as AI becomes more embedded in organisations. Key Highlights • When AI convenience starts becoming dependency • Why human agency matters in AI adoption • How automation can create unintended business bottlenecks • Why bigger AI systems can create fragile trust • The relationship between AI adoption and workplace culture • Why more intelligence does not guarantee better decisions • How AI governance can support responsible innovation • Why community becomes more valuable in an AI world Tools and Frameworks mentioned in this episode Human Centred AI Design - Designing AI around affected people, stakeholders and real user needs. AI Governance Frameworks - Creating shared definitions, policies and accountability for responsible AI adoption. Stakeholder Impact Assessment - Evaluating how AI systems affect employees, customers and other stakeholders. Explore Qwen⁠ - Alibaba’s open model family discussed as an alternative for running capable AI on your own infrastructure. Explore ElevenLabs⁠ - Voice AI platform used in the Tivoli accessibility experience discussed in the episode. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, the agentic prompting tool that helps teams build structured, precise prompts before they hit whichever model they are using. Head to promptcowboy.ai and stop leaving results on the table. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  7. Aug 23

    EP 31: AI Anxiety at Work: Will AI Take Your Job? What Leaders Need to Know

    Standing with ColombiaWhat happens when AI uncertainty becomes a business risk? In Episode 31 of ⁠⁠⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury discuss how AI anxiety ⁠is becoming part of the conversation around AI adoption, workplace transformation and leadership. In this episode, James Gauci and Llew Jury explore the behavioural science behind AI anxiety, its relationship with shadow AI, employee trust and resistance, and how organisations can approach AI change without losing human agency. Key Highlights • Why AI anxiety can be understood as business risk • How workplace identity shapes reactions to AI adoption • The connection between AI anxiety and shadow AI • How unmanaged anxiety can influence AI adoption • Why AI generated sameness can affect customer trust • The growing competitive value of authentic human communication • How transparency can strengthen confidence in AI assisted work • The CAM framework for leading through AI uncertainty Tools and Frameworks mentioned in this episode CAM Framework - Communicate, Acknowledge and Maintain Agency when introducing AI change. Introduced in this episode.AI Readiness Assessment - Evaluates employee confidence, capability and concerns before and after AI adoption or training. Claude Opus 5 - Anthropic model discussed for coding and agentic workflows. ChatGPT - Generative AI platform referenced in workplace adoption and training. Something Digital - Brisbane digital innovation festival referenced ahead of the next live episode. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, the agentic prompting tool that helps teams build structured, precise prompts before they hit whichever model they are using. Head to promptcowboy.ai and stop leaving results on the table. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

  8. Aug 16

    EP 30: AI as a Decision Partner - Sharpen Your Judgment, Don’t Outsource It

    Every business is thousands of decisions stacked on top of each other. So what actually changes when AI pulls up a seat at the table? In Episode 30 of ⁠⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury move past productivity and into something bigger: how AI is reshaping the way leaders make decisions. When people hear AI decision making, they assume it means AI makes the call, and that is the least interesting and most dangerous use of it. This episode is about using AI as a thinking partner to sharpen a decision, where it can quietly lead you astray through bias and confident errors, and why the decision and the accountability always stay firmly with you. Key Highlights AI as a thinking partner, not the pilot of the decisionUse it to compress the research phase, not replace your judgmentTurn AI into an adversarial analyst to surface your blind spotsHiring done right: crunch the thinking, never outsource the verdictAutomation bias, anchoring, and groupthink are the real trapsWrite your own view down before you let AI speak firstKnow your patch before trusting AI in a domain you don't ownAccountability never transfers to a model, it stays with the human Tools and Frameworks Mentioned Meta Muse Glimmer: Meta's newly released open weight model, benchmarking close to the current Qwen generation and marking their return to open source AI. RCTF Framework (Advancer): Llew's Role, Context, Task, Format prompt structure for briefing AI properly on complex decisions. DMAIC and the Deming Cycle: Classic lean process management frameworks James applies to structured, higher-quality decision making with AI. ⁠⁠Shape the show⁠⁠ Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, the agentic prompting tool that helps teams build structured, precise prompts before they hit whichever model they are using. Head to promptcowboy.ai and stop leaving results on the table. Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⚡

About

ZERO SHOT gives leaders clarity on AI without the hype. Hosts James (The Technical Realist) and Llew (The Boardroom Proxy) unpack what truly matters at the intersection of AI, business and strategy in Australia. From sovereign capability to agentic workflows, we break down the decisions shaping the country’s technological future and why they matter for Boards and executives. No noise, no jargon, just grounded insight. James: Chief AI Officer at Cadent | AI Governance & Strategy Executive (Ethical AI) Llew: Managing Director at Advancer | AI Strategy & Digital Produced by Yennia La Rotta.

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