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Forget shiny features - AI is now infrastructure.

But here’s the kicker: most AI projects don’t fail because of bad tech…

💥 They fail because leadership is stuck in the past.

In this episode, we break down:

✅ What makes AI leadership modern

✅ Why your org chart might be your biggest blocker

✅ And how to shift from ‘AI as a tool’ to ‘AI as a co-pilot’

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In this episode of AI That Works4Me, we tackle the tool we all love to hate — email.

Generative AI is finally modernizing our inboxes, and we’re here to break down how to prompt it well, avoid common pitfalls like hallucinations, and use it to write faster, clearer, and smarter.

We’ll share practical examples, time-saving hacks, and a few laughs along the way.

🎯 Perfect for professionals who want to reclaim their time — one AI-powered message at a time.

Available now on Apple, Spotify, and your favorite podcast platform.

2025 ©️ Works4Me BV

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Here’s why — and it’s five solid reasons:

1. Critical Thinking Still Matters 🧠
2. Coding teaches logical reasoning, problem-solving, and ethical decision-making — things AI can’t do for us.
3. Skills That Translate 🛠️
4. Learning to code builds the foundation for understanding AI systems, not just using them.
5. Digital Agency 💡
6. If you want the next generation to shape the future — not be shaped by it — they need digital literacy. Coding gives them that power.
7. Diversity in Tech 🌍
8. Teaching everyone to code helps bring more voices into tech — not just those who already have access.
9. AI Creates New Roles 🚀
10. As AI grows, it’s not replacing developers — it’s reshaping what they do. Knowing how code works will unlock entirely new opportunities.

Their call to action? Educators must push back against the myth that AI makes coding irrelevant — and make sure young people are equipped to lead, not follow, in the AI era.

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✅ Map your high-frequency processes

✅ Replace manual approvals with policy-driven checks

✅ Shift from serial handoffs to parallel execution

✅ Build robust observability & human-in-the-loop controls

✅ Deploy agents gradually—think “interns”

No hype. No vaporware. Just actionable strategies to make AI agents plug-and-play in your organization.

2025 ©️ Works4Me BV

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In this episode of AI That Works4Me, we break down Krish Tiwari’s definitive guide to AI agent development. 

From defining agent behavior to picking the right framework, containerizing for production, and guarding against misuse - this is your fast track to building scalable, reliable AI agents.

2025 ©️ Works4Me BV

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🎙️ AI is transforming security—but not always for the better. In this week’s podcast, we unpack the risks behind AI-powered phishing, machine identities, deepfakes, and the rise of shadow AI.

🔐 Featuring insights from CyberArk’s Clarence Hinton via Computerworld, we explore why so many orgs are deploying AI… without the guardrails.

💡 You’ll learn:

• Why human behavior remains the weakest link
• How rogue AI agents are slipping past IT
• What it takes to secure machine identities in a hybrid-AI world

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In this episode of “AI That Works4Me,” we dive into how organizations can strategically navigate the AI revolution. 

From the UK FCA’s AI sandbox with NVIDIA to Klarna’s evolving workforce model, we examine how regulation, innovation, and reskilling must go hand-in-hand. 

We also explore NVIDIA’s AI fraud detection infrastructure, the growing impact on IP law, and why ethical frameworks are essential for sustainable AI. 

Whether you’re managing compliance, designing platforms, or preparing your teams, this episode offers real-world insights to help your business stay ahead.

2025 ©️ Works4Me BV

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From power grids to gender gaps, and from smartphones to sentient assistants — generative AI is reshaping our world faster than ever.

In this week’s episode, we break down Deloitte’s latest insights on the transformative impact of gen AI across sectors:

⚡ The energy dilemma: Gen AI’s hunger for power is pushing data centers — and our planet — to the limit.

👩‍💻 The gender shift: Women are closing the adoption gap, yet trust in data privacy remains a concern.

📱 The device revolution: Gen AI is now native to consumer tech — and enterprise-ready agents are next in line.

🤖 The autonomous future: AI agents are arriving, but can they be trusted to act on our behalf?

Tune in to hear our take on the innovation curve, the ethical blind spots, and how businesses can adapt.

2025 ©️ Works4Me BV

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AI as Your Companion, Not Your Replacement," challenges common assumptions about generative AI usage. 

While many anticipated AI primarily handling technical and creative tasks like coding or copywriting, recent studies, particularly one cited from Harvard Business Review, reveal a different trend. People are predominantly using AI for personal support, organization, and emotional connection, with therapy and companionship being the top use case. 

This indicates that AI is largely functioning as a "thinking partner" rather than a "doing partner," helping users brainstorm, reflect, and cope, often due to its non-judgmental and always-available nature. 

The shift highlights a human desire for clarity, motivation, and comfort from technology, suggesting that the most impactful future for AI lies in supporting human well-being, learning, and productivity, rather than merely replacing human output.

2025 ©️ Works4Me BV

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As AI accelerates, we’re witnessing a pivotal moment in its relationship with society and the economy.

• In the UK, financial regulators are bridging innovation and oversight through a controlled “AI sandbox” — an experiment in combining speed with safety.
• Meanwhile, leaders like Klarna’s CEO warn of potential recession as white-collar jobs vanish — a jarring reminder that AI doesn’t just augment; it disrupts.
• On legal fronts, cases like Getty vs Stability AI could define the rules of AI creativity and IP — determining whether this new wave is built on respect or loopholes.

So here’s the question: Are we prepared for an AI landscape that’s innovative, equitable, and sustainable?

• Regulators must go beyond sandboxing and build frameworks that safeguard jobs and rights.
• Business leaders should invest in reskilling to ensure workers stay relevant.
• Developers need to embed ethics, provenance, and transparency in AI design.

The real challenge — and opportunity — lies in balancing progress with stewardship. Let’s ensure AI’s incredible potential benefits all, not just a few.

What’s your organization doing to manage AI’s disruptiveness while fostering innovation?

2025 ©️ Works4Me BV