Building the AI-Driven Enterprise with Paul Cheek
Walker & Dunlop
0:00 / 0:00
Building the AI-Driven Enterprise with Paul Cheek
119 574 просмотра · 2 недели назад
Walker & Dunlop
96,5 тыс. подписчиков
119 574 просмотра · 2 недели назад
Willy sat down with Paul Cheek, Senior Lecturer at the MIT Sloan School of Management, serial entrepreneur, AI strategist, and author of the new book, No One Works Here (https://a.co/d/027lfluQ), for a conversation about AI, the future of work, and what it takes to build an AI-driven enterprise.
They explored why AI is advancing faster than organizations can adapt, why leaders may be looking at AI ROI through the wrong lens, and why adopting AI tools and training alone isn’t enough to drive meaningful transformation. They also dove into Paul’s framework for deciding when AI should-and shouldn’t-do the work, why organizational redesign is essential to realizing AI’s potential, and how leaders can prepare their people and businesses for a future where humans and AI agents increasingly work together.
Key Points In The Webcast:
0:00 Introduction
4:06 37 AI agents and a Claude usage limit
5:24 Has the AI narrative shifted from job killer to job creator?
6:13 How Paul’s LinkedIn followers named his book
8:22 NVIDIA’s record quarter and the muted market reaction
12:38 Data security, frontier models, and Walker & Dunlop’s approach
15:32 What makes a business “AI-driven”
17:50 Using AI to grow the top line versus shrink the middle line
21:19 Why short-term AI ROI is the wrong metric
28:37 The literacy gap: boards, C-suites, and getting buy-in
33:38 Human judgment, commodity money, and the value of the human interface
39:14 Paul’s four questions for deciding if AI should do the work
41:49 Can startups really disintermediate an incumbent like Walker & Dunlop?
44:22 Advice to founders: distribution, moats, and cores
48:26 Regulatory capture, Boeing, and why some industries move slowly
51:39 Building an AI-driven enterprise, one “tinker time” at a time
55:05 The one AI agent that transformed Paul’s life most
58:42 The Druckenmiller op-ed and the question of AI authorship
1:01:12 Why paying for outcomes will matter more than paying for hours
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