EPISODE · Dec 11, 2025 · 55 MIN
#185: AI Answers - Getting Started with AI, Core AI Concepts, In-Demand AI Jobs, Data Cleanliness & AI Fact-Checking
from The Artificial Intelligence Show · host Paul Roetzer and Mike Kaput
What happens when AI stops being a tool and starts reshaping every task inside your company? In this AI Answers episode, Paul Roetzer and Cathy McPhillips go through audience questions on where AI jobs are really heading, how agents and “AI ops” are emerging, and what to expect as reasoning models accelerate into 2026. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:03:55 — What AI Positions are in demand for professionals who are not coders? How can skill sets be presented to hiring managers? 00:08:49 — What are the top AI concepts that organizational communicators need to know? 00:10:56 — What should I focus on in AI? 00:13:21 — What do you think would be a good area to focus on as someone trying to break into the AI industry? 00:16:15 — Would you recommend prioritizing 'Generative' use cases or 'Predictive' use cases to achieve the quickest win? 00:18:45 — What’s the most innovative way to get started? Do we need a certain level of data hygiene first, or can AI help clean and organize the data as we go? 00:23:55 — Can you talk about what to be aware of and best practices for sourcing use cases? 00:28:25 — What is the best way to introduce AI tools to a technical/industrial workforce without causing 'replacement fear'? 00:30:47 — What would you say to people who are trying to move beyond the mechanical use of AI and actually trust the technology enough to use it in meaningful ways? 00:34:20 — How do you see AI-driven search tools impacting traditional search engines? 00:36:43 — As generative AI matures, what’s the next significant shift? 00:41:04 — Do companies understand AI well enough before reducing their human workforce? 00:45:51 — What are the main factors that could slow down the advancements of AI? 00:49:11 — As AI systems move toward recursive self-improvement, what guardrails are needed to ensure they aren’t learning from a distorted or incomplete view of the world? This episode is brought to you by Google Cloud: Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Learn more about Google Cloud here: https://cloud.google.com/ Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy
What this episode covers
What happens when AI stops being a tool and starts reshaping every task inside your company? In this AI Answers episode, Paul Roetzer and Cathy McPhillips go through audience questions on where AI jobs are really heading, how agents and “AI ops” are emerging, and what to expect as reasoning models accelerate into 2026. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:03:55 — What AI Positions are in demand for professionals who are not coders? How can skill sets be presented to hiring managers? 00:08:49 — What are the top AI concepts that organizational communicators need to know? 00:10:56 — What should I focus on in AI? 00:13:21 — What do you think would be a good area to focus on as someone trying to break into the AI industry? 00:16:15 — Would you recommend prioritizing 'Generative' use cases or 'Predictive' use cases to achieve the quickest win? 00:18:45 — What’s the most innovative way to get started? Do we need a certain level of data hygiene first, or can AI help clean and organize the data as we go? 00:23:55 — Can you talk about what to be aware of and best practices for sourcing use cases? 00:28:25 — What is the best way to introduce AI tools to a technical/industrial workforce without causing 'replacement fear'? 00:30:47 — What would you say to people who are trying to move beyond the mechanical use of AI and actually trust the technology enough to use it in meaningful ways? 00:34:20 — How do you see AI-driven search tools impacting traditional search engines? 00:36:43 — As generative AI matures, what’s the next significant shift? 00:41:04 — Do companies understand AI well enough before reducing their human workforce? 00:45:51 — What are the main factors that could slow down the advancements of AI? 00:49:11 — As AI systems move toward recursive self-improvement, what guardrails are needed to ensure they aren’t learning from a distorted or incomplete view of the world? This episode is brought to you by Google Cloud: Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Learn more about Google Cloud here: https://cloud.google.com/ Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy
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#185: AI Answers - Getting Started with AI, Core AI Concepts, In-Demand AI Jobs, Data Cleanliness & AI Fact-Checking
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