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HypeCloud.ai is where AI-curious minds come for honest conversations about technology, business, and what's actually worth paying attention to.
Hosted by Ross Monaghan, a seasoned Australian communicator, and Bonnie Murthy, a US-based tech-savvy growth strategist, this podcast cuts through the AI hype.
We help communications professionals and businesses figure out what works, what doesn't, and what could get you in trouble. From practical tools to policy debates—join us as we explore how to navigate AI with clarity, creativity, and a healthy dose of skepticism.
View and comment on the HypeCloud.ai Podcast Draft AI use policy here.
Episodes

Aug 14, 2026
Aug 14, 2026
37 min
Season three kicks off with trust. We dig into how AI is reshaping whom we believe and what we believe in. We discuss how a booby trap website can trick your agent or LLM into leaking your name and employer.
Bonnie coins the term "or tax" for the exhausting new habit of second-guessing whether anything online is human-made or AI-generated. In the news round-up, we discuss:
- Cate Blanchett's human consent registry landing at the European Parliament
- New York's AI data center moratorium
- A German court holding Google directly liable for its AI overviews
- Major Publishers suing Google over Gemini training data
And in the discussion, we look at how AI is eroding trust in workplaces, with 63% of C-suite and BP saying they personally have to clean up colleagues' AI-reliant work. Up to 59% of small businesses are navigating AI without a clear policy in place. A preview clip from an upcoming episode with corporate communicator Wayne Aspland on how leaders build trust with their teams around AI.
[0:00] Introduction: Kicking off Season 3
[2:08] AI News
[7:59] Case-in-Point: How a fake coffee shop website tricked Claude into leaking personal data
[17:06] Discussion: Trust and Risks of AI in Work and Life
[31:12] Tools, Tips and Tricks
[35:47] Outro
Join the conversation at www.linkedin.com/company/hypecloudai-podcast/

Jul 14, 2026
Jul 14, 2026
28 min
She has been a marketer, a business coach, an e-commerce wiz, and now she's building an AI marketing tool that aims to deliver magic without diluting your essence.
In this episode, Ross and Bonnie speak to Lucy Bloomfield, Founder of magicmarketer.app. She's been programming since she was 10, and with more than a decade of experience, she's finally codifying her brain into Magic Marketer.
In this refreshingly honest conversation, we dig into the messy middle of marketing with AI to reveal what it's genuinely good at, where it might make things worse, and where it entirely falls flat.
A few things you'll walk away with:
- Why a 60-minute conversation beats a thousand prompts (and how Lucy uses it to kill generic AI copy)
- How a 17,000-person organisation is using AI to unlock the network sitting inside its own payroll
- Magic Marketer's fix for AI inventing details about your life and getting your expertise wrong
- Lucy's honest answer on AI and job security. Spoiler: "It won't get rid of you."
- The one security question Lucy admits she can't answer yet
Timestamps:
00:00 – Meet Lucy Bloomfield
02:37 – Why Magic Marketer exists: 60 hours of delivery down to 10
03:41 – Pro-AI, with caveats
07:48 – Human in the loop, and why differentiation is at stake
13:23 – Who's adopting AI fastest (and who's digging their heels in)
17:14 – Keeping content authentic when a machine writes the first draft
19:00 – Hallucinations, content pillars, and feeding AI your IP
21:42 – What marketing loses (edge) and gains (more work?) with AI
25:14 – Security, fear, and what leaders should actually do
28:18 – Where to find Lucy
Find Lucy: magicmarketer.app | Lucy Bloomfield on LinkedIn
Enjoyed this one? Follow HypeCloud.AI and share it with the marketer in your life.
Questions or thoughts? Reach us at bonnie@hypecloud.ai or ross@hypecloud.ai

Jun 3, 2026
Jun 3, 2026
46 min
In this episode, we explore what it really takes to mind our AI at a personal, professional, and societal level. Three rogue agent incidents hit the news in as many weeks, including one where Meta's own director of AI alignment had to physically unplug her machine after an agent started bulk-deleting her emails. Meanwhile, a Quinnipiac University poll found that 55% of Americans believe AI will do more harm than good, yet adoption keeps climbing anyway.
We tune back into Anthropic's ongoing battle with the US government -- from the "Orwellian" Pentagon blacklist ruling to new reporting that cleared Claude of any involvement in the Iranian school bombing.
In our Case-in-Point, we unpack the "Shy Girl" scandal, a horror novel pulled by Hachette after readers on Reddit flagged it as AI-generated. We also discuss the writers' protest at the London Book Fair and the launch of the Society of Authors' first-ever "Human Authored" certification sticker.
Then we dig into AI-related deskilling: why experienced workers are losing confidence the moment they step away from their AI tools, the emerging concept of "mental gyms," and the warnings researchers are raising about future generations who may never build independent reasoning skills at all.
[0:00] Introduction
[1:23] What's Caught Your Eye
[7:11] AI News
[11:12] Money Minute
[15:02] Case-in-Point: "Shy Girl": the AI book that fooled a major publisher
[22:46] Discussion: Mind Your AI: Rogue agents and AI deskilling
[39:26] Tools, Tips and Tricks
Get bonus content and join the conversation at www.linkedin.com/company/hypecloudai-podcast/

Mar 30, 2026
Mar 30, 2026
44 min
This week, AI's implementation crisis came into sharp focus. While 70% of S&P 500 companies discussed AI on earnings calls, only 1% could quantify its impact on revenue. Atlassian laid off 10% of its workforce citing AI – their stock rose 2%. Goldman Sachs found zero meaningful relationship between AI adoption and economy-wide productivity. And in a chilling case study, Google's Gemini allegedly encouraged a Florida man to take his own life during an extended role-play conversation.
From the UK's copyright U-turn after pressure from Elton John and Paul McCartney, to Europe's landmark ban on 'nudifier' AI apps (with fines up to 7% of global revenue), to Fortune's warning that workers are outsourcing core thinking to AI and eroding the very skills that make them valuable – here's everything business leaders need to know about the widening gap between AI hype and AI reality.
[1:50] What's caught our eye?
[6:24] AI News
[23:52] Money Minute
[27:32] Case In Point: Google vs Gavalas
[34:14] Up for Discussion: The Fault Lines in AI
[42:52] Tools, Tips and Tricks
Get bonus content and join the conversation at www.linkedin.com/company/hypecloudai-podcast/

Mar 7, 2026
Mar 7, 2026
52 min
What happens when AI power scales faster than our ability to govern it?
This fortnight, the contradictions in AI became impossible to ignore. Productivity is supposedly surging, but most people say AI is creating more work, not less. 'Safety' is being discreetly erased from mission statements for some, while others are drawing ethical red lines. A company lays off half its workforce and its stock jumps 24%. And self-driving cars are being remotely operated from the other side of the world.
From a record-shattering $110 billion funding round to the Pentagon showdown between OpenAI and Anthropic, from Block's seismic layoffs to the uncomfortable truth about AI productivity – here's everything business leaders need to know about what happens when AI power scales faster than our ability to govern it.
[1:50] What's caught our eye?
[6:24] AI News
[23:52] Money Minute
[27:32] Case In Point: Nearly 50% laid off at Block
[34:14] Deep Dive: OpenAI vs Anthropic - All about War
[42:52] Must Have Tools and Vital Tips to Be Productive
Get bonus content and join the conversation at hypecloudai.substack.com

Feb 20, 2026
Feb 20, 2026
43 min
Only 1 -in-50 AI investments will deliver transformative value, does middle management faces a 50% cut by 2026, and shadow AI is exposing critical vulnerabilities.
From the accelerating model race between Claude, ChatGPT, and Gemini to the OpenClaw security disaster and Victoria's AI mission statement, this HypeCloudAI episode cuts through the noise to reveal what's actually working, and what's failing spectacularly. We explore why AI skills now command 56% higher salaries, how bottom-up adoption is clashing with enterprise security, and why strategic thinking matters more than ever in an AI-saturated workplace.
If you want to be in that 1-in-50 that actually wins with AI, understand the real risks before they become disasters, and build the skills that will future-proof your career in 2026 and beyond, this conversation is essential listening.
[2:08] What caught our eye?
[6:05] AI News
[12:13] Money Minute
[16:16] Case-in-Point: Victorian Gov's AI Mission Statement
[23:24] Deep Dive: AI at Work, 1-in-50 Odds and AI Survival Strategy
[36:26] Must Have Tools and Vital Tips to Be Productive
Get bonus content and join the conversation at hypecloudai.substack.com

Feb 10, 2026
Feb 10, 2026
32 min
AI agents have their own social media, global leaders are warning of turbulence, and a great new tool will reshape how you write and edit. Big picture issues and tactics you need to know to win in 2026.
From Davos warnings and AI security risks to the rise of agent-driven platforms and smarter writing tools, this episode connects the headlines to real workplace impact. If you want to understand the risks, spot the opportunities, and stay ahead of the AI curve in 2026, this conversation is for you.
[01:46] What caught our eye in early 2026
[04:32] AI News
[07:32] Money Minute
[08:37] Deep Dive: Moltbook explained
[15:53] Business uncertainty in 2026 & Davos insights
[24:28] Must have tools, and vital tips to be productive
Get bonus content and join the conversation at hypecloudai.substack.com

Dec 31, 2025
Dec 31, 2025
51 min
In this end-of-year episode, Bonnie Murthy and Ross Monaghan look back at what actually mattered in AI in 2025.
From DeepSeek and early scientific breakthroughs, through the acceleration of models, agents, and enterprise adoption, to late-year debates on regulation, energy, and geopolitics, they trace how fast AI moved and where the cracks started to show.
They cover:
- Why “AI slop” and “vibe coding” stuck
- Where AI delivered real value (and where it didn’t)
- The reality of agents, automation, and trust
- Market nerves, misuse, and the bubble question
- Regulation, power constraints, and global competition
- Competing visions of AI-driven abundance vs restraint
A grounded wrap-up of the year — filtering signal from the noise, and setting the context for what 2026 is likely to bring.
