In this thought-provoking episode of Call Me Data, David and Peter dive deep into the latest developments from OpenAI, including the release of GPT-5.0 and open-weight models that could reshape the AI landscape. They explore the technical nuances behind model routing, the implications for cost, performance, and fine-tuning, and the ongoing “AI arms race” driving incremental improvements. The conversation takes a bold turn into the future of AI in leadership—asking whether CEOs, managers, or even board members could one day be replaced (or at least advised) by AI. Packed with humor, industry insight, and forward-looking predictions, this episode challenges assumptions about the limits of AI in business and management.

00:00 - Intro & AI News Recap
00:15 - Breaking Down GPT-5.0
05:06 - The Real Headline: Open-Weight Models
09:02 - AI Arms Race & Incremental Gains
19:20 - Could AI Replace the CEO?
33:51 - The “CEO Whisperer” Concept
47:33 - Future of AI in Management

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: http://bit.ly/44BhxGs
Apple Podcast: http://bit.ly/3GHBe6i

#aitrends2025 #openai #gpt5

What does Microsoft’s latest AI research paper really say about the future of jobs—and why did the headlines get it so wrong? In this episode, David and Peter break down the most misunderstood AI study of the summer. They dive into the concept of AI “applicability scores,” challenge the doom-and-gloom media narrative, and explore when (and if) AI use should be disclosed in art, hiring, and customer interactions. A must-listen for leaders trying to separate AI hype from substance and stay ahead of the curve in a rapidly changing digital workplace.

00:27 – Introduction and Context
03:24 – Microsoft's AI Research Paper Overview
06:33 – Understanding AI Applicability in Jobs
09:19 – AI's Impact on Knowledge Workers
12:24 – Analyzing Job Displacement Claims
15:23 – The Role of AI in Art and Creativity
18:16 – AI Transparency and Disclosure in Work
21:05 – Conclusion and Future Discussions
31:58 – The Role of AI in Artistic Creation
34:18 – Originality and Derivation in Art
35:46 – AI in Business: Disclosure and Ethics
39:11 – Customer Interactions with AI
43:55 – AI in Hiring Decisions
51:03 – The Future of AI and Human Interaction
56:03 – Authenticity and AI: A Philosophical Debate

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: http://bit.ly/44BhxGs
Apple Podcast: http://bit.ly/3GHBe6i

#artificialintelligence #futureofwork #aiethics

What happens when two industry veterans try to reimagine consulting in the age of AI? In this insightful and forward-thinking episode of Call Me Data, David and Peter unpack the seismic shift in the consulting landscape driven by AI agents and automation. They discuss how traditional firms are getting disrupted by AI-native approaches and explore the blueprint for building a tech-first advisory model from scratch. The conversation also tackles the job market for recent grads, the role of liberal arts in tech, and why innovation thrives when you're not under pressure. Whether you're a founder, consultant, or tech leader, this is a must-listen on the future of work, advisory services, and how AI is rewriting the rules.

00:00 Introduction and Context
07:36 The Future of Job Roles and Skills
12:48 AI in Consulting: A New Paradigm
18:08 Real-World Applications of AI in Consulting
26:50 The Value of Expertise and Scalability
34:00 The Role of AI in Knowledge Management
39:11 AI Agents: The Future of Consulting
44:58 Innovation in Consulting: A New Paradigm
51:33 The Future of Consulting Firms

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: http://bit.ly/44BhxGs
Apple Podcast: http://bit.ly/3GHBe6i

#aiconsulting #futureofwork #businessinnovation

In this episode of Call Me Data, Peter Memon and David Gleason unpack the seismic shift AI is creating within the consulting world. From the decline of offshoring and labor arbitrage to the rise of AI agents as staff augmentation tools, they explore how traditional consulting models are being upended. Learn how agentic AI enables faster development, reshoring of tech talent, and continuous compliance. Plus, hear their bold predictions on price compression, throwaway applications, and the future of management consulting. If you're in consulting—or hiring one—this episode is your wake-up call.

00:00 The Evolution of Consulting Firms
05:15 The Future of Offshoring and Labor Arbitrage
10:53 The Role of AI in Development
16:45 The Importance of Communication in Tech
23:07 The Future of AI in Consulting
28:57 Knowledge Retention and AI
34:28 The Economics of AI and Consulting
41:47 The Future of Consulting Firms
47:57 Continuous Monitoring and Compliance
54:48 The Future Landscape of Consulting

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: http://bit.ly/44BhxGs
Apple Podcast: http://bit.ly/3GHBe6i

#aiinbusiness #agenticai #futureofwork

In this thought-provoking episode of Call Me Data, David Gleason and Peter Memon dive into the concept of embedded AI—a revolutionary approach to integrating AI agents directly into business processes. From automating compliance reviews to proactively managing regulatory risks, they explore how embedded AI can cut costs, boost productivity, and even improve employee happiness. With real-world analogies from finance, manufacturing, and consulting, they break down the future of AI in enterprise operations and why ethical implementation is critical. This episode is a must-listen for anyone in tech, finance, or operations looking to future-proof their business.

00:00 Introduction and Casual Banter
05:38 Current Compliance Processes and Their Costs
11:34 Real-Time Adaptation and Monitoring
17:33 Knowledge Transfer and Training Agents
23:22 The Power of Unstructured Data
28:40 Embedding AI Deep into Organizational Processes
34:26 The Increasing Burden of Regulations
39:35 Capturing Employee Innovation through AI
45:30 The Importance of Responsible AI Practices

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: linkedin.com/in/david-r-gleason
Peter's LinkedIn: linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: https://open.spotify.com/show/4ZWp6KpalibM4DLZ1g9Ef3?si=6f03d054c63745f7
Apple Podcast: https://podcasts.apple.com/us/podcast/call-me-data/id1815744887

#aicompliance #businessautomation #thoughtleadership

In this thought-provoking episode of Call Me Data, David and Peter explore the “illusion of intelligence” in today’s AI systems. While generative AI models sound confident and authoritative, the duo digs into the dangers of misplaced trust, automation bias, and intellectual laziness. They challenge listeners to rethink how AI models influence decision-making in law, healthcare, and everyday life. With real-world examples, humorous anecdotes (including the infamous cancer-detecting pigeons), and actionable takeaways, this episode is a timely reminder that sounding smart isn’t the same as being correct. If you’ve ever taken an AI response at face value — you’ll be rethinking it after this.

00:00 The Illusion of Intelligence
09:32 Human vs. Machine Decision-Making
16:15 The Role of Human Oversight
22:23 Crowdsourcing Intelligence: The Pigeon Experiment
30:55 The Value of a Novice Mind
37:03 Politeness and Empathy in AI Models
41:52 Licensing and Education for AI Users
48:38 The Role of AI in Decision Making
57:35 Predictions for AI in the Next Six Months

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: https://open.spotify.com/show/4ZWp6KpalibM4DLZ1g9Ef3?si=6f03d054c63745f7
Apple Podcast: https://podcasts.apple.com/us/podcast/call-me-data/id1815744887

#aiethics #aitrust #futuretech

In this thought-provoking episode of Call Me Data, David and Peter explore the evolving landscape of human-machine interaction in the age of AI. From voice-first workflows and stream-of-consciousness content creation to avatar-led teaching and non-interaction AI agents, they dive deep into how tools like Super Whisper, HeyGen, and NotebookLM are changing the way we think, write, and work. They also touch on the broader cognitive impacts of AI, from creativity boosts to potential skill erosion, and debate whether AI makes us smarter—or lazier. If you're navigating the frontier of AI-powered productivity, this conversation is your compass.

00:00 Introduction to AI and Human Interaction
06:49 AI as a Tool for Content Creation
16:47 Multimodal Interaction: The Future of AI
24:54 The Evolution of AI Avatars
34:02 Human-Machine Interaction and Its Implications
41:25 The Impact of AI on Human Intelligence
48:27 The Future of AI Tool Usage and Licensing

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: https://open.spotify.com/show/4ZWp6KpalibM4DLZ1g9Ef3?si=6f03d054c63745f7
Apple Podcast: https://podcasts.apple.com/us/podcast/call-me-data/id1815744887

#aiproductivity #futureofwork #generativeai

In this thought-provoking episode of Call Me Data, David Gleason and Peter Memon explore the provocative idea that the future of artificial intelligence will—and should—be boring. Drawing parallels to the evolution of smartphones, they argue that when AI becomes mundane, it will also become maximally useful. The conversation touches on AI adoption barriers, the human hesitation around "cheating" with automation, and the mindset shift required to truly integrate AI into daily workflows. With humor, insight, and practical takeaways, this episode challenges listeners to rethink how they view and use AI tools—today and tomorrow. Perfect for tech enthusiasts, professionals, and skeptics alike.

00:00 The Future of AI: Boring is Good
05:28 The Stigma of Using AI: Cheating or Efficiency?
11:39 The Effort Behind AI: Not Just an Easy Button
17:41 Teaching AI Usage: Bridging the Knowledge Gap
26:01 The Evolution of AI Interfaces
32:09 The Role of Human Oversight in AI
40:43 Global Standards for AI Safety
46:07 The Path to Normalization of AI Usage

We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.

Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → pietro@allinondata.com

About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.

Follow Us for More Content:
David's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: https://open.spotify.com/show/4ZWp6KpalibM4DLZ1g9Ef3?si=6f03d054c63745f7
Apple Podcast: https://podcasts.apple.com/us/podcast/call-me-data/id1815744887

#futureofai #artificialintelligence #techpodcasts