Digital Disruption with Geoff Nielson

Is vibe coding the future of software development? Or is it just another AI buzzword?

In this episode, Geoff Nielson sits down with Laurence Moroney, former Head of AI Advocacy at Google and now Director of AI at Arm, to separate AI hype from reality and discuss what software development actually looks like in the age of generative AI.

This conversation takes a look at the future of coding, the rise of AI-generated code, and why claims that software developers are becoming obsolete miss the bigger picture. From vibe coding and enterprise AI to agentic AI and the evolving role of engineers, this Laurence and Geoff look at how AI is reshaping software development, and why the best developers will become even more valuable by moving up the value chain.

Subscribe for weekly conversations on the future of technology, artificial intelligence, and innovation. Comment below: Do you think vibe coding has a place in your professional workflow?

In this episode:
00:00 Intro
01:16 Has the AI bubble burst?
04:44 AI hype vs. real business value
09:21 Why AI should become invisible
12:30 The biggest AI myths leaders still believe
16:15 Will AI replace software developers?
19:28 Why developers are moving up the value chain
20:54 The rise of "ephemeral" software
26:34 Enterprise use cases for disposable code
29:02 Is vibe coding ready for the enterprise?
32:10 Small AI models vs. large language models
35:46 Fine-tuning AI for enterprise success
38:17 Why companies still need engineers
41:57 The future role of developers, CIOs & CTOs
45:09 How developers can future-proof their careers
47:09 Should students still study computer science?
49:09 Does AI create 100x developers?
51:20 What is Agentic AI?
57:06 Building enterprise AI the right way
1:02:11 AI hardware and Arm's vision
1:05:18 Advice for technology leaders
1:07:05 The future of Sovereign AI
1:14:30 Final thoughts

Connect with Laurence:
LinkedIn: https://www.linkedin.com/in/laurence-moroney/
X: https://x.com/lmoroney
Facebook: https://www.facebook.com/laurence.moroney

Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG

This is THE AI debate you've been waiting for.

Will AI become as transformational as the internet, or will history remember it more like blockchain and the metaverse?

In this episode of Digital Disruption, Info-Tech's Geoff Nielson and Jeremy Roberts go head-to-head over one of the biggest technology questions of our time: Is AI overhyped?

The debate looks at whether generative AI is delivering measurable business value or whether the excitement surrounding OpenAI, Microsoft Copilot, Google, Nvidia, and today's AI investments has outpaced reality. From enterprise productivity and healthcare innovation to AI adoption, venture capital, cloud computing, autonomous vehicles, and the future of work, both sides present compelling evidence at the Info-Tech LIVE Conference in Las Vegas.

You'll hear why the profitability of today's AI industry is being questioned, how massive capital investments are shaping the race among AI leaders, and what these financial realities could mean for the future of artificial intelligence. Whether you're an IT leader, business executive, or AI enthusiast, this debate offers practical insights into where AI is delivering real value, and where expectations may be running ahead of reality.

Which side of the debate are you on?

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In this episode:
00:00 Is AI Overhyped?
00:52 The case against AI being overhyped
03:31 How AI is already transforming business
04:18 AI's impact on healthcare, science & society
05:20 AI is overhyped
06:40 Why many people still don't like AI
07:18 Is the AI business model sustainable?
08:45 Does AI actually save time?
09:23 AI and the future of jobs
10:17 The human cost of AI
12:04 AI adoption vs. AI skepticism
13:52 Is AI following the same path as cloud computing?
15:05 Are AI companies creating another tech bubble?
16:50 Technology vs. company valuations
18:02 AI search, Google & the future of the internet
19:31 Is AI becoming the next Blockchain?
20:24 Is AI's transformation inevitable?
21:29 Healthcare, Watson & enterprise AI
23:34 Microsoft Copilot, enterprise adoption & ROI
24:18 The future of AI in business
25:12 Audience votes on winner
26:04 Final thoughts on if AI really is overhyped.

Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG

Stop fearing the future of work. Learn why our current infrastructure is failing and how to adapt your mindset for the age of artificial intelligence and technology.

AI isn't taking your job; it's forcing humanity to rethink what work, identity, and purpose actually mean.

In this conversation, Geoff Nielson sits down with innovation strategist, futurist, and author Alexander Manu to discuss why so many professionals fear a loss of income. The core issue, he argues, is not technology itself but our tendency to apply old systems to new realities. Instead of viewing artificial intelligence as a threat, Alexander explains that AI represents the next stage of human evolution, one where technology frees us from repetitive work and allows us to focus on creativity, learning, and what makes us uniquely human.

The conversation also explores disruption, digital transformation, Maslow's concept of self-transcendence, the future of work, education, leadership, and what it truly means to live in an AI-first world.

Whether you're a CIO, technology leader, business executive, innovator, or simply curious about where artificial intelligence is taking society, this episode offers one of the most optimistic, and challenging, perspectives you'll hear on the future of AI.

Like and follow for weekly episodes.

In this episode:
00:00 Intro
00:46 Why everyone is afraid of AI
01:01 Why Alexander isn't afraid of artificial intelligence
03:02 AI, work & the future of human purpose
05:24 Will AI make society happier?
06:32 Why AI is different from every technology before it
08:07 AI as a creative partner instead of a tool
10:17 The real fear behind AI: Money & identity
12:48 How do we reach an AI future?
14:03 Why we need to redesign everything from scratch
16:12 AI, identity & Maslow's self-transcendence
19:07 Using AI to unlock human creativity
20:33 Lessons from building one of the first portable computers
22:34 Technology, identity & human evolution
24:24 How every technology becomes normal
27:07 AI learns you as you learn it
28:57 Why technology exists to eliminate friction
30:19 Why society needs to embrace AI earlier
31:44 Understanding the disruption continuum
34:10 Why disruption never ends
39:45 Are we living through an AI bridge moment?
42:06 Why most companies get AI completely wrong
46:31 Stop fitting AI into old systems
51:30 The biggest AI lessons for business leaders
53:12 The question every organization should ask
56:09 Leadership, AI & the future of organizations
59:18 Why AI is not optional
1:00:52 AI's true promise isn't speed
1:05:36 AI, contemplation & finding meaning
1:06:36 Social media, creativity & human attention
1:11:48 Final thoughts

Connect with Alexander:
LinkedIn: https://www.linkedin.com/in/alexander-manu-458b7b3/

Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG

AI is moving faster than most organizations can keep up with, but according to Siri co-creator Dag Kittlaus , the biggest challenge isn't the technology itself. It's adoption.

In this episode, Dag shares his insights on how artificial intelligence will reshape your career, your business, and the future of work.

Drawing on his experience building Siri and investing in the next generation of AI startups, Dag explains why widespread AI-driven job loss is unlikely in the near term and how business leaders can successfully integrate AI into their organizations. He explores the important differences between AI capability and AI diffusion, arguing that this distinction will shape the next decade of innovation, productivity, and economic growth.

The conversation covers AI productivity gains, enterprise AI adoption, AI-first startups, Apple's AI future, personalized virtual assistants, healthcare innovation, data centers, AI infrastructure, and the emerging opportunities that business and technology leaders can't afford to ignore.

Whether you're a CIO, business leader, entrepreneur, or technology professional, this episode offers practical insights into how artificial intelligence is transforming industries and why understanding AI today may be one of the most important investments you can make in your future.

Like and follow for weekly episodes.

In this episode:
00:00 Intro
00:53 Co-creator of Siri
01:15 AI's promise vs. AI's peril
02:28 Capability vs. diffusion: The real AI challenge
03:15 Why AI still can't replace entire jobs
04:31 Will AI cause massive white-collar job loss?
07:14 Why laying off employees for AI is a mistake
08:14 How businesses should actually adopt AI
10:30 How Dag personally uses AI today
12:41 AI investment trends and opportunities
13:27 What's next for AI infrastructure and data centers?
15:27 Hidden AI opportunities most investors miss
16:41 Winners and losers in the AI economy
17:56 How leaders should prepare their organizations
21:32 AI-first startups vs. large enterprises
23:11 Should established companies fear AI-native competitors?
24:00 Ignore AI and you're in trouble
25:21 The 10-year AI adoption timeline
26:22 Is AI ready or does it need more breakthroughs?
28:00 The original vision for Siri
29:30 AI agents, APIs, and autonomous assistants
31:32 Why apple lost ground in AI
34:53 Dag's vision for the future of Siri
35:29 The 'Conductor Thesis' for personal AI
38:30 Why personalization Is AI's missing link
39:07 Consumer backlash against AI
40:20 Why AI job loss fears are overblown
41:15 AI, productivity growth, and the four-day workweek
43:51 How to change public perception of AI
47:05 Convincing employees to embrace AI
47:50 Why incentives matter more than mandates
50:05 Practical advice for business leaders
53:03 The biggest AI trend nobody understands
53:38 How AI will transform healthcare
56:11 AI regulation and innovation challenges
58:23 Why Dag is optimistic about AI's future
59:15 Final thoughts

#ai #futureofwork #leadership #siri #apple #futureofai #technologypodcast #digitaltransformation #innovation #entrepreneurship #futureofjobs #stevejobs #dagkittlaus

Connect with Dag:
LinkedIn: https://www.linkedin.com/in/dagkittlaus/
X: https://x.com/dagk

Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG

What if AI isn't the biggest disruption we're facing? What if the real problem is that we're trying to force 24th-century technology into an economy designed for another era?

In this episode, AI and transformation leader, Michael Clark explains why AI is exposing fundamental flaws in education, business, leadership, and the global economy, and what we need to do next.

Michael argues that we're trying to fit next-generation AI into systems designed for the industrial age. The conversation explores how organizations can move beyond automation and embrace collaborative intelligence, where humans and AI work together to create value. They discuss the future of work, data as an asset, workforce transformation, AI adoption, leadership in the intelligence economy, and why critical thinking, judgment, and adaptability will become the most valuable skills in the AI era.

Like and follow for weekly episodes.

In this episode:
00:00 Intro
01:23 Two possible futures for 2030
04:05 Why education must be rebuilt for the AI era
07:12 Teaching critical thinking, data literacy & adaptability
10:40 How work changes in the age of AI
13:22 Why people should be treated as assets, not costs
16:16 The economic model that no longer works
20:24 Rethinking value, GDP, and the future economy
24:23 Can we actually value people and data?
27:29 Why governments need an AI consortium
28:54 AI, data ownership & wealth distribution
33:05 Should AI and cloud computing be treated as utilities?
35:45 Why most organizations mismanage data
37:05 Treating data as a business asset
42:53 Why AI can't fix bad data
47:27 What data-mature organizations do differently
48:05 Schneider electric's data monetization strategy
50:24 John Deere's AI and data advantage
51:21 The ethics of data monetization
55:28 Workforce transformation and leadership in the AI era
58:29 Why leaders struggle with long-term thinking
01:00:00 Leadership, risk, and better decision making
01:03:48 Rethinking leadership for the Intelligence Economy
01:06:19 Human wisdom vs machine knowledge
01:09:23 Final advice for leaders adopting AI
01:12:14 Final thoughts

Connect with Michael:
LinkedIn: https://www.linkedin.com/in/mclarkglobal/

Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG