AI in 60 Seconds | The 15-min Briefing

HR is the Missing Chair at the AI Table

Share your thoughts with us [https://www.buzzsprout.com/2406097/fan_mail/new] OpenAI and Anthropic announced they would invest over $5 billion to launch dedicated services arms. The frontier labs saw what most CEOs have missed: enterprise AI is workforce transformation, and the function trained to lead workforce transformation is rarely in the room when AI strategy is written. In this episode, Luis Salazar and Elizabeth East make the case that the Chief Human Resources Officer is the missing chair at every AI strategy table. 8 in 10 enterprise employees bypass the AI tools their company paid for. 95% of AI pilots fail to deliver measurable ROI. None of those numbers describes a technology problem. Featuring insights from Aurelie Saada (AI-Change Leader, Microsoft) and Catherine Moy (Chief People Officer, BDO US), plus a mid-size accounting firm case study and a construction firm using retired engineers' judgment to train new hires. Sources and companion article at https://ai4sp.org/missing-chair-at-the-ai-table/ [https://ai4sp.org/missing-chair-at-the-ai-table/] 🎙️ All our past episodes [https://ai4sp.org/60]  📊 All published insights [https://ai4sp.org/60] | This podcast features AI-generated voices. All content is proprietary to AI4SP, based on over 1-billion data points from 70 countries. AI4SP: Create, use, and support AI that works for all. © 2023-26 AI4SP and LLY Group - All rights reserved

Distributed AI: The Minutes No One Is Counting

Share your thoughts with us [https://www.buzzsprout.com/2406097/fan_mail/new] Your A.I. dashboard might be telling the truth and still be useless. If you are measuring A.I. success by licenses, seats, or adoption rates, you are missing where the real return lives: inside the small tasks that fill calendars and quietly run the company. In Episode 8 of Season 3, Luis Salazar and Elizabeth unpack Distributed A.I.: the task-by-task transformation hiding inside companies, why traditional measurement systems were built to count the wrong things, and how a leading European bank turned shadow A.I. into 11,000 active users and more than 4,800 frontline-built agents in under a year. Inside the episode: * Maya, the analyst whose two-hour morning brief became twelve minutes, and what that did to when her firm reaches the market * A consulting firm that found 90% of its employees were already using unauthorized A.I., and the rules they used to channel it without betting the firm * The BBVA "use it or lose it" license model, recently published in Harvard Business Review * The Inspire, Assess, Unleash framework to change management Companion newsletter and all sources: https://ai4sp.org/distributed-ai-minutes-no-one-counting [https://ai4sp.org/distributed-ai-minutes-no-one-counting] A.I. Compass (structured listening tool for finding the patterns inside your own company): https://ai-compass.ai [https://ai-compass.ai/] A.I. ROI Calculator: https://roicalc.ai [https://roicalc.ai/] 🎙️ All our past episodes [https://ai4sp.org/60]  📊 All published insights [https://ai4sp.org/60] | This podcast features AI-generated voices. All content is proprietary to AI4SP, based on over 1-billion data points from 70 countries. AI4SP: Create, use, and support AI that works for all. © 2023-26 AI4SP and LLY Group - All rights reserved

AI Is Working. Your Strategy Is Not

Share your thoughts with us [https://www.buzzsprout.com/2406097/fan_mail/new] AI users at proficiency save 67 minutes per task, four to eight hours every week. Yet 6 in 10 enterprise AI deployments return zero, and in 9 out of 10 failing rollouts, the leader signing the checks is not a daily AI user. In this episode, Luis Salazar and Elizabeth unpack why individual AI adoption has never been higher, and company-level results have never been further behind. Shadow AI now accounts for 80% of the workforce. Satisfaction with self-chosen tools hits 78% versus 41% on sanctioned ones. Anthropic and Cursor run two to five times ahead of the most efficient pre-AI giants in revenue per employee because their leaders built the companies knowing what AI can do. Most non-native enterprises announce a transformation, but the org chart stays inherited, compensation rewards yesterday's work, and the workflows stay the same. The company's reason and the employees' reasons never meet. The fix starts with one uncomfortable move. Leaders must use AI daily themselves. Then, listen to the people in their company who are already there. For the structured version of that listening move, see AI Compass: https://ai-compass.ai [https://ai-compass.ai/] For the full article with data tables, sources, and companion research: https://ai4sp.org/ai-is-working-your-strategy-is-not [https://ai4sp.org/ai-is-working-your-strategy-is-not] 🎙️ All our past episodes [https://ai4sp.org/60]  📊 All published insights [https://ai4sp.org/60] | This podcast features AI-generated voices. All content is proprietary to AI4SP, based on over 1-billion data points from 70 countries. AI4SP: Create, use, and support AI that works for all. © 2023-26 AI4SP and LLY Group - All rights reserved

The Worst A.I. You'll Ever Use (And We're Not Ready for a Better One)

Share your thoughts with us [https://www.buzzsprout.com/2406097/fan_mail/new] The AI you're using today is the worst AI you'll ever use. Every week, it gets smarter, faster, and more capable. Great news, but it shifts the question entirely. The bottleneck was never the technology. The bottleneck is us. Over 70 million adults in the U.S. have low literacy skills — struggling with anything beyond simple sentences and short paragraphs. One in four. And in total, 130 million read below a sixth-grade level. Those numbers got worse between 2017 and 2023, not better. And before you think "that's not me" — thirty years of point and click, search bars, and social media have quietly eroded how all of us read and communicate. In this episode, Luis and Elizabeth make the case that AI is an amplifier: it makes strong skills stronger and weak skills dangerously worse. They break down the three humanistic skills that determine whether AI helps you or misleads you, and none of them are technical. Better AI doesn't mean better results. Better humans do. Resources: * Companion article: https://ai4sp.org/the_worst_ai_you_will_use [https://ai4sp.org/the_worst_ai_you_will_use] * AI Compass: https://ai-compass.ai [https://ai-compass.ai/] 🎙️ All our past episodes [https://ai4sp.org/60]  📊 All published insights [https://ai4sp.org/60] | This podcast features AI-generated voices. All content is proprietary to AI4SP, based on over 1-billion data points from 70 countries. AI4SP: Create, use, and support AI that works for all. © 2023-26 AI4SP and LLY Group - All rights reserved

AI Agents Doubled Your Company Size (And You Don't Know Who Works for You)

Share your thoughts with us [https://www.buzzsprout.com/2406097/fan_mail/new] Anthropic surveyed eighty thousand people across 159 countries. Freelancers report 47% economic gains from AI. Corporate employees? 14%. Same technology, radically different results. In this episode, Luis Salazar and Elizabeth unpack why the gap is not about tools; it is about how organizations are structured around them. * A procurement agent with 48 managers and triple reporting lines. * Field technicians whose AI teammate is officially on the org chart. * Students are developing workforce management skills that most executives have not yet learned—by managing an agent every single day. Your company may have already doubled in size, with agents joining the workforce without appearing in any dashboard that matters. The question is whether your titles, compensation, and governance reflect how work actually gets done today. This is Episode 6 of AI in 60 Seconds and a direct continuation of "From 1 agent to 50,000 [https://ai4sp.org/from-one-agent-to-fifty-thousand/]: The Enterprise AI Adoption Journey." Featuring: Emily Adams and Agent Alice (returning), Professor Helene Blanchette (Chapman University), and a look at G42's public job listings for AI agents. All sources and the full companion article: https://ai4sp.org/ai-agents-doubled-your-company-size [https://ai4sp.org/ai-agents-doubled-your-company-size] 🎙️ All our past episodes [https://ai4sp.org/60]  📊 All published insights [https://ai4sp.org/60] | This podcast features AI-generated voices. All content is proprietary to AI4SP, based on over 1-billion data points from 70 countries. AI4SP: Create, use, and support AI that works for all. © 2023-26 AI4SP and LLY Group - All rights reserved