The Artificial Intelligence Show – Episode 186 Detailed Summary

Episode Title:
GPT-5.2, Disney-OpenAI Deal, New Trump AI Executive Order, OpenAI State of Enterprise AI Report, Teen AI Usage & Data Centers in Space

Release Date:
December 16, 2025

Hosts:
Paul Roetzer (Founder/CEO, Marketing AI Institute)
Mike Kaput (Chief Content Officer, SmarterX)

Episode Overview

This episode of The Artificial Intelligence Show (Ep. 186) closes out 2025 with a flurry of major AI industry news and developments. Paul and Mike dissect the release of OpenAI’s GPT-5.2 and its 10th anniversary, Disney’s landmark licensing deal with OpenAI’s Sora, President Trump’s sweeping executive order aiming for a single US AI regulatory standard, OpenAI’s enterprise report, new Google Cloud research on AI ROI, and a look at cutting-edge infrastructure like space-based data centers. They also examine how teens use AI, emerging workforce training, and practical marketing tools leveraging generative AI.

Key Topics & Insights

1. OpenAI Turns 10 & GPT-5.2 Launch

[06:27–22:42]

Highlights:

OpenAI celebrated its 10th anniversary with the launch of GPT-5.2, a model designed to be faster, more adept at "reasoning," and especially strong on complex knowledge work.
GPT-5.2 “Thinking” scored ~71% on the GDP VAL benchmark vs. 39% for GPT-5.1 “Thinking” (released just one month prior).
Wharton’s Ethan Mollick observed: GPT-5.2 “is now winning 71% of the time on tasks that require 4-8 hours of human expert work.”
OpenAI is “almost certain to build superintelligence in the next 10 years.” – (Sam Altman, [08:00])

Deep Dive:

GDP VAL: New benchmark based on 1,300 real-world (economically valuable) tasks—such as legal briefs, blueprints, customer support, and nursing plans—graded blindly by expert humans.
- GPT-5.2 output >11x the speed and <1% the cost of expert professionals.
- Hallucination rates dropped >30% from the last version.
Industry Shift: Early AI benchmarks were generic “IQ tests,” but now labs and users need to measure performance on specific, practical work tasks.

Notable Quotes:

“What they're trying to do with GDP VAL... is measure impact on knowledge work—how these models actually stack up versus a human at doing our actual jobs.” – Paul ([08:30])
“When you use it for more things, you save 5x more time.” – Mike ([46:04])

OpenAI Ten-Year Reflection:

Paul recalls OpenAI’s 2015 nonprofit mission: “Our goal is to advance digital intelligence... unconstrained by a need to generate financial return...”—noting much of that vision has since changed.
Sam Altman’s 2025 reflection:
“I believe we are almost certain to build superintelligence. I expect the future to feel weird... the people of 2035 will be capable of things we can’t imagine.” ([20:35])

2. Disney-OpenAI $1 Billion Sora Video Deal

[22:43–32:41]

Summary:

Disney becomes the first major Hollywood studio to license its content to an AI video platform (OpenAI Sora), investing $1B, and opening use of over 200 characters across Disney, Pixar, Marvel, and Star Wars.
Sora users (as of 2026) can generate short-form videos with iconic characters, but use of human likeness/voices is explicitly excluded.
This comes as Disney is also actively litigating and sending cease-and-desist orders to Google, Meta, and others for using Disney IP without permission.
Labor groups and artists express outrage, noting the original creators see no compensation.

Analysis:

“Use IP without permission to train AI models, get rewarded with a $1 billion equity and licensing deal.” – Paul ([24:11])
“This will all end in licensing deals… There’s no way this becomes anything else.” – Paul ([29:47])
Smaller companies lacking leverage or resources will go out of business, get acquired, or be “acquihired” as legal risks rise.

Paul’s Core Prediction:

Major media companies will force licensing deals; only AI juggernauts can afford to pay and play. The smaller innovators will likely be pushed aside or absorbed.

3. Trump Administration Executive Order: Federal AI Supremacy

[32:41–44:17]

Key Points:

President Trump signed an EO overriding state-level AI laws in favor of a single national standard, “to sustain and enhance US global AI dominance.”
The order empowers the Attorney General to challenge states with stricter laws, threatens to withhold broadband/funding from noncompliant states, and frames decentralized rules as threats to competition with China.
There are carveouts for child safety and local infrastructure. Copyright issues will remain federal.
Legal experts expect fast court challenges, since only Congress can preempt state law.
Tech investors praise it, some governors and bipartisan lawmakers vow to fight it.

Analysis:

The order establishes a “Litigation Task Force” to sue states, but NOT a policy framework. No real national standard is described; timeline for any real framework is undefined.
“Any plan to restrict acceleration of AI would reduce, in their minds, ability for AI supremacy over China.” – Paul ([36:10])
Unclear political alignment; “Nobody on either side of the aisle knows what to do with AI.” ([43:06])

Notable Quotes:

“This executive order is not about establishing that national framework. It is about stopping regulation and accelerating AI at all costs.” – Paul ([34:17])
“It's a becoming a very divisive issue within politics... you’re going to have Republicans that hate this executive order, you're going to have Democrats that hate it, and then you have a mix that like kind of like the direction.” ([43:06])

4. OpenAI’s Enterprise AI Adoption Report

[44:17–52:01]

Highlights:

1 million+ business customers, 7 million ChatGPT workplace seats.
Enterprise ChatGPT message volume grew 8x, complex (“reasoning”) tokens 320x per org year-over-year.
Time savings: 40–60min/day for average users; power users (>top 5%) engage 6x more, report 5x the time saved.
Custom GPTs: 20% of messages now via custom GPTs or Projects; use up 19x.
Usage Gap: Only 10% of U.S. workers report daily AI use; 23% weekly. 45% say they use at all (Gallup).

Insights:

Despite the hype, AI adoption is still nascent. Most workplaces have not meaningfully implemented, and most people are not behind.
“Most people still haven't figured this out and are not using it daily. No matter what AI bubble you're living in, you’re not way behind.” – Paul ([51:39])
Workers who “do more things” with AI see much larger productivity gains.

5. Google Cloud: Generative AI ROI by Industry

[53:03–56:12]

Key Stats:

Agentic AI adoption is already above 50% in manufacturing, telecom, and retail.
78% of manufacturing/retail leaders see ROI now.
AI pilot-to-production timelines are down to 3–6 months.
Data privacy and security remain top concerns.

Insights:

Agentic systems (“specialized LLMs with specific roles...to independently plan, reason, and perform tasks”): Adoption growing, but definitions and expectations are still evolving.
Reports are useful for proving business value to skeptics or leadership in those sectors.
“If you’re trying to make the business case for AI in your industry, these are good data points to pull.” – Paul ([54:41])

6. Microsoft Copilot: Slow ROI & The Satirical ‘Adoption’ Rant

[56:12–62:08]

Summary:

According to The Information, Microsoft has lowered Copilot growth targets as enterprise adoption lags; firms struggle with integration and ROI measurement.
Microsoft counters that quotas haven’t changed, but soft metrics are murky.
Change management, AI literacy, and use-case education—not just product quality—drive value.

Parody Tweet (Peter Gurness, [58:22]):

"...47 people had opened it. 12 had used it more than once. One was me...I used it to summarize an email I could have read in 30 seconds..."

This satirical thread ridicules meaningless metrics, performative AI adoption, and pressure for “AI enablement” dashboards, reflecting much of the real-world implementation gap.

Key Takeaway:

“I have had actual conversations like this with real leaders and actual enterprises.” – Paul ([62:08])

7. Time Magazine’s 2025 ‘Person of the Year’ — The Architects of AI

[62:08–65:56]

Coverage:

Jensen Huang (Nvidia), Sam Altman (OpenAI), Masayoshi Son (Softbank), Mark Zuckerberg (Meta), Demis Hassabis (DeepMind) named collectively.
Article dubs 2025 “the year the industry sprinted toward new deployment,” and details the economic, social, and legal disruption underway.

Notable Quote:

“AI is going to cause that $100 trillion [in GDP] to become $500 trillion.” – Jensen Huang ([65:03])

8. Infrastructure: Data Centers in Space & AI’s Physical Limits

[66:03–74:31]

Main Points:

Insights from investor Gavin Baker (from Invest Like the Best), predicting the next massive shift: space-based data centers to overcome power, cooling, and compute bottlenecks.
Satellites get 24/7, 30% stronger sunlight; cooling is “free” in shadow; enables nearly unlimited AI compute at scale.
Elon Musk’s SpaceX is positioned to dominate, justifying its $800B–$2T valuations.

Notable Quote:

“The most important thing to happen in the world in the next 3-4 years is data centers in space.” – Gavin Baker ([67:22])

9. Practical AI: Shopify Sim Gym, Simulating Customers Before You Launch

[74:31–78:36]

Key Features:

“Sim Gym” lets stores simulate human-like digital customers navigating their sites, allowing pre-launch testing and A/B testing without live traffic.
Based on billions of actual purchase data points.
Could rapidly accelerate website and marketing optimization, threaten traditional market research firms, and alter creative workflows.

Takeaway:

“It will be weird to do marketing, sales, or customer success without first simulating everything.” – Paul ([76:10])

10. Teen AI Usage & Parental Guidance

[78:37–81:08]

Key Data (Pew Research, Dec 2025):

64% of US teens have used AI chatbots; ~30% use them daily.
ChatGPT dominates teen market share (59%), with lower income and non-white teens more likely to use daily.
Only 5% of parents feel prepared to formally guide their kids’ AI interactions.

Observations:

“Watch out, these teens are about to join the workforce as true ‘AI natives.’” – Paul ([79:53])
Many children get no guidance about AI use from their parents — both opportunity and risk.

11. OpenAI Launches Workforce Training Certifications

[81:11–83:21]

Details:

First certification tracks: AI Foundations (practical skills), plus ChatGPT Foundations for Teachers via Coursera.
Pilot partners include Walmart, John Deere, BCG.
Focused on verifiable, job-ready skills—credentialed, integrated inside ChatGPT itself.
Early feedback is positive; hosts recommend everyone collect as many vendor certifications as possible.

Insights:

“If they’re making this education free, go do it.” – Paul ([83:21])

Notable Quotes & Timestamps

| Time | Speaker | Quote | |---------|--------------|--------------------------------------------------------------------------------------------| | 08:30 | Paul | “What they're trying to do with GDP VAL… is measure impact on knowledge work…” | | 15:02 | Mike | “It just really emphasizes… the need… for formal benchmarks or standardized benchmarks…” | | 20:35 | Sam Altman | “I believe we are almost certain to build superintelligence. I expect the future to feel weird…” | | 24:11 | Paul | “Use IP without permission to train AI models, get rewarded with a $1 billion equity and licensing deal.”| | 29:47 | Paul | “This will all end in licensing deals… There’s no way this becomes anything else.” | | 34:17 | Paul | “This executive order is not about establishing that national framework. It is about stopping regulation and accelerating AI at all costs.”| | 36:10 | Paul | “Any plan to restrict acceleration of AI would reduce, in their minds, ability for AI supremacy over China.”| | 46:04 | Mike | “When you use it for more things, you save 5x more time.” | | 51:39 | Paul | “Most people still haven't figured this out and are not using it daily. No matter what AI bubble you're living in, you’re not way behind.”| | 62:08 | Paul | “I have had actual conversations like this with real leaders and actual enterprises.” | | 65:03 | Jensen Huang | “AI is going to cause that $100 trillion [in GDP] to become $500 trillion.” | | 67:22 | Gavin Baker | “The most important thing to happen in the world in the next 3-4 years is data centers in space.”| | 76:10 | Paul | “It will be weird to do marketing, sales, or customer success without first simulating everything.”|

(Refer to show notes for direct links)

Final Thoughts

The episode delivers a packed, rapid-succession survey of the most critical issues, milestones, and controversies shaping the AI industry as 2025 closes. Whether you’re a business leader, policy watcher, enterprise practitioner, marketer, educator, or just an AI-curious listener—you’ll find invaluable insights on the pace of technology, enterprise adoption, regulatory battles, business model shifts, and the human skills challenges that will define the coming year.

Subscribe, benchmark your own workflows, and—most importantly—stay curious!

The Artificial Intelligence Show – Episode 186 Detailed Summary

Episode Title:
GPT-5.2, Disney-OpenAI Deal, New Trump AI Executive Order, OpenAI State of Enterprise AI Report, Teen AI Usage & Data Centers in Space

Release Date:
December 16, 2025

Hosts:
Paul Roetzer (Founder/CEO, Marketing AI Institute)
Mike Kaput (Chief Content Officer, SmarterX)

Episode Overview

Key Topics & Insights

1. OpenAI Turns 10 & GPT-5.2 Launch

[06:27–22:42]

Highlights:

OpenAI celebrated its 10th anniversary with the launch of GPT-5.2, a model designed to be faster, more adept at "reasoning," and especially strong on complex knowledge work.
GPT-5.2 “Thinking” scored ~71% on the GDP VAL benchmark vs. 39% for GPT-5.1 “Thinking” (released just one month prior).
Wharton’s Ethan Mollick observed: GPT-5.2 “is now winning 71% of the time on tasks that require 4-8 hours of human expert work.”
OpenAI is “almost certain to build superintelligence in the next 10 years.” – (Sam Altman, [08:00])

Deep Dive:

GDP VAL: New benchmark based on 1,300 real-world (economically valuable) tasks—such as legal briefs, blueprints, customer support, and nursing plans—graded blindly by expert humans.
- GPT-5.2 output >11x the speed and <1% the cost of expert professionals.
- Hallucination rates dropped >30% from the last version.
Industry Shift: Early AI benchmarks were generic “IQ tests,” but now labs and users need to measure performance on specific, practical work tasks.

Notable Quotes:

“What they're trying to do with GDP VAL... is measure impact on knowledge work—how these models actually stack up versus a human at doing our actual jobs.” – Paul ([08:30])
“When you use it for more things, you save 5x more time.” – Mike ([46:04])

OpenAI Ten-Year Reflection:

Paul recalls OpenAI’s 2015 nonprofit mission: “Our goal is to advance digital intelligence... unconstrained by a need to generate financial return...”—noting much of that vision has since changed.
Sam Altman’s 2025 reflection:
“I believe we are almost certain to build superintelligence. I expect the future to feel weird... the people of 2035 will be capable of things we can’t imagine.” ([20:35])

2. Disney-OpenAI $1 Billion Sora Video Deal

[22:43–32:41]

Summary:

Disney becomes the first major Hollywood studio to license its content to an AI video platform (OpenAI Sora), investing $1B, and opening use of over 200 characters across Disney, Pixar, Marvel, and Star Wars.
Sora users (as of 2026) can generate short-form videos with iconic characters, but use of human likeness/voices is explicitly excluded.
This comes as Disney is also actively litigating and sending cease-and-desist orders to Google, Meta, and others for using Disney IP without permission.
Labor groups and artists express outrage, noting the original creators see no compensation.

Analysis:

“Use IP without permission to train AI models, get rewarded with a $1 billion equity and licensing deal.” – Paul ([24:11])
“This will all end in licensing deals… There’s no way this becomes anything else.” – Paul ([29:47])
Smaller companies lacking leverage or resources will go out of business, get acquired, or be “acquihired” as legal risks rise.

Paul’s Core Prediction:

Major media companies will force licensing deals; only AI juggernauts can afford to pay and play. The smaller innovators will likely be pushed aside or absorbed.

3. Trump Administration Executive Order: Federal AI Supremacy

[32:41–44:17]

Key Points:

President Trump signed an EO overriding state-level AI laws in favor of a single national standard, “to sustain and enhance US global AI dominance.”
The order empowers the Attorney General to challenge states with stricter laws, threatens to withhold broadband/funding from noncompliant states, and frames decentralized rules as threats to competition with China.
There are carveouts for child safety and local infrastructure. Copyright issues will remain federal.
Legal experts expect fast court challenges, since only Congress can preempt state law.
Tech investors praise it, some governors and bipartisan lawmakers vow to fight it.

Analysis:

The order establishes a “Litigation Task Force” to sue states, but NOT a policy framework. No real national standard is described; timeline for any real framework is undefined.
“Any plan to restrict acceleration of AI would reduce, in their minds, ability for AI supremacy over China.” – Paul ([36:10])
Unclear political alignment; “Nobody on either side of the aisle knows what to do with AI.” ([43:06])

Notable Quotes:

“This executive order is not about establishing that national framework. It is about stopping regulation and accelerating AI at all costs.” – Paul ([34:17])
“It's a becoming a very divisive issue within politics... you’re going to have Republicans that hate this executive order, you're going to have Democrats that hate it, and then you have a mix that like kind of like the direction.” ([43:06])

4. OpenAI’s Enterprise AI Adoption Report

[44:17–52:01]

Highlights:

1 million+ business customers, 7 million ChatGPT workplace seats.
Enterprise ChatGPT message volume grew 8x, complex (“reasoning”) tokens 320x per org year-over-year.
Time savings: 40–60min/day for average users; power users (>top 5%) engage 6x more, report 5x the time saved.
Custom GPTs: 20% of messages now via custom GPTs or Projects; use up 19x.
Usage Gap: Only 10% of U.S. workers report daily AI use; 23% weekly. 45% say they use at all (Gallup).

Insights:

Despite the hype, AI adoption is still nascent. Most workplaces have not meaningfully implemented, and most people are not behind.
“Most people still haven't figured this out and are not using it daily. No matter what AI bubble you're living in, you’re not way behind.” – Paul ([51:39])
Workers who “do more things” with AI see much larger productivity gains.

5. Google Cloud: Generative AI ROI by Industry

[53:03–56:12]

Key Stats:

Agentic AI adoption is already above 50% in manufacturing, telecom, and retail.
78% of manufacturing/retail leaders see ROI now.
AI pilot-to-production timelines are down to 3–6 months.
Data privacy and security remain top concerns.

Insights:

Agentic systems (“specialized LLMs with specific roles...to independently plan, reason, and perform tasks”): Adoption growing, but definitions and expectations are still evolving.
Reports are useful for proving business value to skeptics or leadership in those sectors.
“If you’re trying to make the business case for AI in your industry, these are good data points to pull.” – Paul ([54:41])

6. Microsoft Copilot: Slow ROI & The Satirical ‘Adoption’ Rant

[56:12–62:08]

Summary:

According to The Information, Microsoft has lowered Copilot growth targets as enterprise adoption lags; firms struggle with integration and ROI measurement.
Microsoft counters that quotas haven’t changed, but soft metrics are murky.
Change management, AI literacy, and use-case education—not just product quality—drive value.

Parody Tweet (Peter Gurness, [58:22]):

"...47 people had opened it. 12 had used it more than once. One was me...I used it to summarize an email I could have read in 30 seconds..."

This satirical thread ridicules meaningless metrics, performative AI adoption, and pressure for “AI enablement” dashboards, reflecting much of the real-world implementation gap.

Key Takeaway:

“I have had actual conversations like this with real leaders and actual enterprises.” – Paul ([62:08])

7. Time Magazine’s 2025 ‘Person of the Year’ — The Architects of AI

[62:08–65:56]

Coverage:

Jensen Huang (Nvidia), Sam Altman (OpenAI), Masayoshi Son (Softbank), Mark Zuckerberg (Meta), Demis Hassabis (DeepMind) named collectively.
Article dubs 2025 “the year the industry sprinted toward new deployment,” and details the economic, social, and legal disruption underway.

Notable Quote:

“AI is going to cause that $100 trillion [in GDP] to become $500 trillion.” – Jensen Huang ([65:03])

8. Infrastructure: Data Centers in Space & AI’s Physical Limits

[66:03–74:31]

Main Points:

Insights from investor Gavin Baker (from Invest Like the Best), predicting the next massive shift: space-based data centers to overcome power, cooling, and compute bottlenecks.
Satellites get 24/7, 30% stronger sunlight; cooling is “free” in shadow; enables nearly unlimited AI compute at scale.
Elon Musk’s SpaceX is positioned to dominate, justifying its $800B–$2T valuations.

Notable Quote:

“The most important thing to happen in the world in the next 3-4 years is data centers in space.” – Gavin Baker ([67:22])

9. Practical AI: Shopify Sim Gym, Simulating Customers Before You Launch

[74:31–78:36]

Key Features:

“Sim Gym” lets stores simulate human-like digital customers navigating their sites, allowing pre-launch testing and A/B testing without live traffic.
Based on billions of actual purchase data points.
Could rapidly accelerate website and marketing optimization, threaten traditional market research firms, and alter creative workflows.

Takeaway:

“It will be weird to do marketing, sales, or customer success without first simulating everything.” – Paul ([76:10])

10. Teen AI Usage & Parental Guidance

[78:37–81:08]

Key Data (Pew Research, Dec 2025):

64% of US teens have used AI chatbots; ~30% use them daily.
ChatGPT dominates teen market share (59%), with lower income and non-white teens more likely to use daily.
Only 5% of parents feel prepared to formally guide their kids’ AI interactions.

Observations:

“Watch out, these teens are about to join the workforce as true ‘AI natives.’” – Paul ([79:53])
Many children get no guidance about AI use from their parents — both opportunity and risk.

11. OpenAI Launches Workforce Training Certifications

[81:11–83:21]

Details:

First certification tracks: AI Foundations (practical skills), plus ChatGPT Foundations for Teachers via Coursera.
Pilot partners include Walmart, John Deere, BCG.
Focused on verifiable, job-ready skills—credentialed, integrated inside ChatGPT itself.
Early feedback is positive; hosts recommend everyone collect as many vendor certifications as possible.

Insights:

“If they’re making this education free, go do it.” – Paul ([83:21])

Notable Quotes & Timestamps

(Refer to show notes for direct links)

Final Thoughts

Subscribe, benchmark your own workflows, and—most importantly—stay curious!

#186: GPT-5.2, Disney-OpenAI Deal, New Trump AI Executive Order, OpenAI State of Enterprise AI Report, Teen AI Usage & Data Centers in Space

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Summary

The Artificial Intelligence Show – Episode 186 Detailed Summary

Episode Overview

Key Topics & Insights

1. OpenAI Turns 10 & GPT-5.2 Launch

Highlights:

Deep Dive:

Notable Quotes:

OpenAI Ten-Year Reflection:

2. Disney-OpenAI $1 Billion Sora Video Deal

Summary:

Analysis:

Paul’s Core Prediction:

3. Trump Administration Executive Order: Federal AI Supremacy

Key Points:

Analysis:

Notable Quotes:

4. OpenAI’s Enterprise AI Adoption Report

Highlights:

Insights:

5. Google Cloud: Generative AI ROI by Industry

Key Stats:

Insights:

6. Microsoft Copilot: Slow ROI & The Satirical ‘Adoption’ Rant

Summary:

Parody Tweet (Peter Gurness, [58:22]):

Key Takeaway:

7. Time Magazine’s 2025 ‘Person of the Year’ — The Architects of AI

Coverage:

Notable Quote:

8. Infrastructure: Data Centers in Space & AI’s Physical Limits

Main Points:

Notable Quote:

9. Practical AI: Shopify Sim Gym, Simulating Customers Before You Launch

Key Features:

Takeaway:

10. Teen AI Usage & Parental Guidance

Key Data (Pew Research, Dec 2025):

Observations:

11. OpenAI Launches Workforce Training Certifications

Details:

Insights:

Notable Quotes & Timestamps

Useful Resources & Links (Referenced During Episode)

Final Thoughts

Summary

The Artificial Intelligence Show – Episode 186 Detailed Summary

Episode Overview

Key Topics & Insights

1. OpenAI Turns 10 & GPT-5.2 Launch

Highlights:

Deep Dive:

Notable Quotes:

OpenAI Ten-Year Reflection:

2. Disney-OpenAI $1 Billion Sora Video Deal

Summary:

Analysis:

Paul’s Core Prediction:

3. Trump Administration Executive Order: Federal AI Supremacy

Key Points:

Analysis:

Notable Quotes:

4. OpenAI’s Enterprise AI Adoption Report

Highlights:

Insights:

5. Google Cloud: Generative AI ROI by Industry

Key Stats:

Insights:

6. Microsoft Copilot: Slow ROI & The Satirical ‘Adoption’ Rant

Summary:

Parody Tweet (Peter Gurness, [58:22]):

Key Takeaway:

7. Time Magazine’s 2025 ‘Person of the Year’ — The Architects of AI

Coverage:

Notable Quote:

8. Infrastructure: Data Centers in Space & AI’s Physical Limits

Main Points:

Notable Quote: