Digital Disruption with Geoff Nielson

Why are 88% of businesses using AI but only 5% seeing real transformation?

In this episode, we sit down with Dan Diasio, EY’s Global Consulting AI Leader and CTO, to break down the four possible futures of AI, from constraint to full transformation, and what it takes for organizations to win in an AI-driven world.

Drawing from his experience advising Fortune 50 executives, Dan explains how leaders are navigating uncertainty, why many companies fall into the “sameness trap,” and what separates simple AI adoption from true competitive differentiation.

We also explore the rise of AI agents and end-to-end workflows, why mindset and skillset matter more than toolset, and what the future of jobs looks like in an AI-first world.

If you are thinking about AI strategy, leadership, or how to prepare your organization for what comes next, this episode delivers practical and forward-looking insights.

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In this video:
00:00 Intro
00:40 Inside SXSW: Future-proofing AI strategy
02:14 Why predicting AI is impossible
02:56 The four AI futures explained (constraint → collapse)
04:36 What winning teams did differently
05:50 The “sameness trap” in AI
06:19 Positive vs negative AI futures
07:23 Constraint, growth, transform, collapse
09:54 What people actually believe about AI’s future
10:45 How do you win with AI?
13:17 Why business model innovation beats automation
14:02 Hands-on AI
15:46 How AI commoditizes output
17:01 AI investment trends: Productivity vs differentiation
18:13 The shift toward competitive advantage with AI
19:27 The AI Playbook: How leaders get it right
20:34 Going broad vs going deep with AI
21:11 88% vs 5%: The AI Adoption Gap
22:20 Mindset vs skillset vs toolset
23:27 Top-down vs bottom-up AI transformation
25:16 The visibility trap explained
26:06 Why new talent drives AI innovation
28:22 AI resistance & fear in organizations
29:43 “Death by a Thousand Papercuts” automation
30:54 New jobs: Knowledge Engineers & AI Orchestrators
32:48 Future Skills: Critical thinking, creativity, systems thinking
35:12 The role of IT in the AI era
37:34 AI as the new operating system of business
39:01 SaaS vs A
44:35 AI prototyping vs enterprise-scale systems
47:18 Will AI kill consulting?
54:07 AI infrastructure constraints & global risks
56:09 Biggest AI myths & misconceptions
57:34 Are we automating the wrong things?
59:27 Amara’s Law & AI hype cycles
01:00:12 How leaders should prepare
01:01:01 Why value creation beats cost cutting
01:02:17 Aligning AI strategy across the organization

Connect with Dan:
LinkedIn: https://www.linkedin.com/in/dan-diasio/

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 not just a technology shift. It is a human, organizational, and identity transformation.

In this episode, we sit down with Ian Beacraft, Founder and Chief Futurist at Signal and Cipher, to talk about one of the most urgent questions facing leaders today: what happens to work, organizations, and identity in the age of AI?

Ian argues that the next two years will matter more than the last 30, and that AI is not just another tool. It is a platform reshaping economies, organizations, and how we define work itself.

We break down why most companies are getting AI wrong, the critical difference between culture and coordination, and how the rise of AI agents is shifting value from doing the work to designing it. We also cover what leaders need to do right now to stay ahead, including real world examples of failed AI adoption, the growing power of small teams, and the coming identity shift in the workplace.

Like and subscribe for weekly episodes.

In this video:
00:00 Intro
01:20 Biggest AI trends since last year
02:28 Why AI is not just a tool
03:28 AI, identity, and the redefinition of work
04:08 The real threat: Outdated organizational thinking
05:00 Culture vs coordination explained
07:08 The danger of replacing humans with AI
09:48 Employee anxiety & leadership impact
11:19 Why AI is NOT an IT problem
12:31 How organizations should approach AI
15:04 Encoding human expertise into AI systems
16:22 Trust, fear, and job replacement concerns
17:23 Leadership, vision & the social contract
20:50 Why most leaders lack vision today
21:46 “What you do in the next 2 years is your legacy”
23:14 Incremental vs transformational AI thinking
24:25 Encoding organizational identity for AI
29:02 Why everyone must redesign their own work
31:16 From doing work to designing work
34:50 How leaders should drive AI adoption
38:08 Lessons from Building an AI-native organization
41:23 Rethinking departments & organizational structure
42:33 AI agents running autonomous workflows
44:08 The future role of culture
45:12 Real examples of AI agents in action
48:21 Small teams vs large organizations
49:04 The rise of entrepreneurship with AI
50:07 Which jobs are most at risk
55:13 Finding your competitive moat in AI
56:47 Why AI adoption is Lagging
57:24 Prediction: The future will be messy
59:38 Why systems must break before they improve
01:00:29 The AI transformation is about people, not tech

Connect with Ian:
LinkedIn: https://www.linkedin.com/in/ianbeacraft
X: https://x.com/ianbcraft
Instagram: https://www.instagram.com/ianbcraft/

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

Are we giving up our freedom for convenience without realizing it?

In this episode, we sit down with Dr. Rumman Chowdhury, a globally recognized AI ethics leader featured in Time and Forbes, to unpack the real risks of artificial intelligence, Big Tech power, and data privacy.

As the former Head of AI Ethics at Twitter and Accenture, Dr. Chowdhury shares an insider perspective on how Big Tech is consolidating power, why narratives around AGI and “AI intelligence” are often misleading, and how everyday tools from apps to social media, are quietly shaping a surveillance-driven ecosystem.

This conversation dives into AI ethics, surveillance, and the future of work, and explores why trust in AI is declining even as adoption accelerates. We also break down the real-world implications of AI, and most importantly, how you can protect your data, reclaim your agency, and use AI more intentionally.

In this video:
00:00 Intro
01:16 What’s wrong with AI today
02:18 Why people trust AI less every year
03:09 Big tech vs the technology itself
04:22 Dangerous narratives about AI
06:09 Anthropomorphism and moral outsourcing
07:40 The myth of AGI and profit motives
09:20 The economics behind AI power
11:21 Consumer responsibility and the privacy paradox
13:42 “I have nothing to hide” explained
15:04 How big tech is consolidating control
16:42 What consumers should actually do
18:30 Real-world consequences of data misuse
21:05 From Pokémon Go to surveillance systems
22:29 The dilemma of social media and platforms
26:05 Can AI still be used for good
28:20 Algorithms, manipulation, and loss of agency
30:12 Inside AI ethics at Twitter
33:48 Why leadership and trust are changing
35:17 Surveillance capitalism and public backlash
37:31 How to think strategically about AI
41:19 Finding agency and intentional use of AI
45:06 Will society push back against AI power
52:02 The role of AI ethicists and builders
56:41 The future of work and automation reality
01:01:32 Why expertise and discernment matter most
01:06:35 Advice for business leaders using AI
01:11:33 Final thoughts on agency and discernment

Connect with Dr. Rumman Chowdhury:
LinkedIn: https://www.linkedin.com/in/rumman/
Instagram: https://www.instagram.com/rumman_c/?hl=en

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 happens when AI, energy, and technology all go exponential at the same time?

Salim Ismail says we’re entering a “messy decade” of disruption…

In this episode, we sit down with Salim, the founding executive director of Singularity University and author of Exponential Organizations, to break down the rapid acceleration of AI, robotics, space tech, and solar energy, and what it all means for jobs, business, governments, and your future.

Salim explains why AI is doubling every 8–10 weeks, how the cost of technology is collapsing, and how this shift is reshaping innovation, the workforce, and global power structures. From space-based data centers and abundant energy to the rise of AI-native companies, this conversation explores the technologies driving one of the biggest transformations of our time.

Like and follow for weekly episodes.

In this episode:
00:00 Intro
01:00 What’s actually going exponential right now
03:30 The convergence of multiple exponential technologies
05:00 Space tech breakthroughs & $6M rocket launches
06:30 Data centers in space & infinite compute
07:45 From scarcity to abundance: the big shift
10:30 Real-world examples: music, communication, and industry disruption
12:45 The “messy decade” before the future gets better
14:00 Why institutions are breaking down (government, media, education)
15:30 Star Trek vs mad max: two possible futures
17:00 Why humans fear AI
20:00 Why technology is still humanity’s biggest advantage
23:00 Will AI take your job?
25:00 The ATM example: why jobs don’t disappear
26:30 AI organizations and 80% workforce reduction myth
28:30 The future of companies: small teams, big impact
30:00 The rise of the creative economy
32:00 Why human experience becomes more valuable
34:30 AI and human experts (doctors, teachers, consultants)
37:00 Which industries will be disrupted first
40:00 Why governments are falling behind
41:30 How to actually innovate
46:30 What leaders must do right now
50:00 What is an exponential organization?
52:30 “What do I do on Monday?” practical advice
57:00 The only strategy that works
59:00 AI startups & the future of entrepreneurship
01:02:00 Why most companies will fail to adapt
01:06:00 How to increase organizational speed
01:10:00 Leadership in the age of exponential change
01:15:00 The future of nations vs cities
01:20:00 Remote work vs in-person work
01:25:00 Robots, AI, and the coming inner loop
01:26:30 Why AGI is misunderstood
01:32:00 What most people get wrong about the future
01:34:00 Fixing civilization & human evolution
01:37:00 Psychedelics, creativity, and human potential
01:42:00 AI solving science and R&D autonomously
01:48:00 Raising kids in an AI world
01:52:00 The risk of losing human connection
01:53:00 Where we’re headed

Connect with Salim:
LinkedIn: https://www.linkedin.com/in/salimismail/
X: https://x.com/salimismail

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

Are businesses falling behind in the AI revolution?

While AI is transforming everything from workflows to decision-making, many companies are facing a surprising reality: they’re becoming less prepared for AI, not more. In this episode, we sit down with Brian Solis, a globally recognized futurist and thought leader, to explore how disruptive technology is reshaping business, society, and the future of work.

As Head of Global Innovation at ServiceNow, Brian shares expert insights on business innovation, AI adoption, and what it truly takes to succeed in this rapidly evolving landscape. We also talk about the growing gap between AI-native companies and traditional enterprises, the rise of the agentic enterprise, and why true AI-driven reinvention requires far more than simple automation.

Like and follow for weekly episodes.

In this episode:
00:00 Intro
00:55 Are businesses falling behind in AI?
01:30 What “AI disruption” really means for business
03:30 The hidden dangers of AI: Bias, sycophancy & atrophy
05:20 Why most companies are underusing AI (capability overhang)
07:00 The AI index explained: Why readiness is declining
08:30 AI maturity scores are dropping and here’s why
10:50 Will AI-native startups disrupt enterprise giants?
13:00 How AI is reshaping jobs, roles, and workflows
15:30 The biggest myth: “AI transformation is easy”
16:30 What is the agentic enterprise? (future of AI work)
18:30 Automation vs innovation: Where AI creates real value
20:30 Why AI needs vision, not just it execution
22:30 IKEA’s $1B AI Pivot: A real business case study
25:00 AI business reinvention vs digital transformation
27:00 AI agents explained: How they actually work in business
30:00 Who manages AI? The Rise of HR and IT collaboration
33:30 The Chief Workflow Officer: A new c-suite role?
37:30 Innovation culture vs reality: Why most companies fail
45:00 Can you succeed in AI without an innovation culture?
53:00 Biggest AI myth debunked and final takeaways

Connect with Brian:
LinkedIn: https://www.linkedin.com/in/briansolis/
X: https://x.com/briansolis
Instagram: https://www.instagram.com/briansolis/

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