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#236: AI Answers - No Time for AI, AI Budgets, Vendor Terms & Data Risk, AI Disclosure & Vanishing Entry Level Roles

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#236: AI Answers - No Time for AI, AI Budgets, Vendor Terms & Data Risk, AI Disclosure & Vanishing Entry Level Roles

The Artificial Intelligence Show

16 HOURS AGO
The Artificial Intelligence Show

The Artificial Intelligence Show

16 HOURS AGO
OverviewShownoteHighlightsTranscriptChaptersPins

Shownote

If you stop hiring entry-level staff and quietly decimate the leadership pipeline, where do future managers come from once AI does the junior work? That's one of 15 listener questions Paul Roetzer and Cathy McPhillips take on in this AI Answers edition, dr...

Highlights

Paul Roetzer and Cathy McPhillips answer 15 practical and strategic questions about using AI at work, from finding time and designing agents to funding, governance, disclosure, workforce development, and platform risk.
08:04
AI use is personal to your role
09:51
AI helped launch a major campaign in three days
14:33
Build something tangible
16:59
AI transformation has to be owned internally
23:24
Move fast within guardrails
25:34
The real value comes from personalization
27:17
Build agents with humans in the loop
28:36
Sensitive data demands careful handling
31:01
Invest in the people who make AI decisions
36:19
AI cost forecasting remains unsolved
41:19
Vendor risk decisions belong with legal
44:12
Disclose AI use without making it a spectacle
47:21
Cutting entry-level hiring threatens future leadership
49:54
We do not fully understand the intelligence we created
53:43
Agent outages can stop the business

Chapters

Intro
00:00
What are the best ways to use AI in marketing?
07:15
How do you carve out time for AI when the team is already slammed?
10:54
Should a small company hire outside consultants to build agents?
14:46
Who should own AI transformation in the enterprise?
19:19
Are there generic agents everyone can use, or do you build your own?
23:50
Can you build human approval checkpoints into an agent?
25:59
How do you enable agents on sensitive data without adding risk?
28:14
How should a company fund its AI investments?
30:37
How do you budget and forecast total AI spend, including tokens?
34:11
What does a right-sized AI vendor approval process look like?
37:03
What happens to your data if an AI vendor is acquired or goes under?
40:33
When should you disclose that AI was used to create the work?
42:48
If AI does the entry-level work, where do future managers come from?
46:03
Is an LLM really a black box, and is that ominous?
47:58
Are we building businesses on rented land with LLMs?
50:39

Transcript

Paul Roetzer: Where does management come from? What do managers do in the future if we don't train entry-level employees? So, if we stop hiring as many entry-level staff, then we decimate the future managers and leaders of the company. Welcome to AI Answer...