AI in 60 Seconds 🚀 - Why HR is the Missing Chair at the AI Table
The Missing Chair at the AI TableMay 20, 2026 OpenAI, Anthropic, and Google committed over $6 billion to rebuild the enterprise AI channel, in partnership with the world's leading private equity firms. Why is the money flowing to consultants instead of to software companies? Because Enterprise AI is a workforce transformation, and the channel built over 50 years to sell and deploy software licenses cannot deliver one. AI is a coworker, and seven of the eight factors that decide whether an AI agent actually delivers value sit on the Human Resources (HR) department, working with your business leaders, yet in most companies HR is the missing chair at every AI strategy table. And that is an expensive mistake. 🎧 Go Deeper: In this week's companion episode we walk the seven-of-eight framework live, and share success stories. Listen on Apple Podcasts | Spotify In our last issue, we showed the value of AI hiding at the task level. In the issue before that, we argued that AI is working at the individual level, but enterprise strategies are not. Today, we focus on who must be in the room when those strategies are written. 💸 What the Frontier Labs Just Told Every CEOIn the past month, the companies that build the AI we all use committed more than $6 billion to a new channel. The existing one was built to sell licenses and deploy software. The new one is being built for something else entirely: workforce transformation. That signal also applies to every company investing in AI: focus on workforce transformation, people enablement, and processes. Procuring the licenses and deploying the software is a very small part of the equation.
🧩 Seven of EightIn our AI4SP advisory work, we have helped guide over 8,000 AI agents for nine enterprise clients over the past 18 months. The same eight elements determine whether an agent actually works inside a company.
Seven out of eight elements are HR work, in partnership with functional experts or frontline team members, to get the work done. We keep handing the whole project to IT Departments, who own only one of these 8 critical elements. According to Deloitte’s 2026 Global Human Capital Trends, only 14% of leaders are adept at designing how humans and AI actually work together. 86% of leaders are not ready for the work the next two years will demand of them. And there is no chair on the strategy committee labeled ready for this. 🏢 What HR-Led Transformation Actually Looks LikeIntervention 1
Onboarding the Coworker
A mid-size US accounting firm with 400 professionals did an IT-led AI rollout last October. The training was vendor demos and product tours. By the peak of busy season, AI usage had collapsed by 60% and partners blamed the technology. The CEO appointed Stephanie, the Chief Talent Officer, and three frontline team members as co-leaders with the CIO, with equal authority on every AI decision. Stephanie killed the vendor demos and replaced them with what she called onboarding the coworker, and identified the firm's advanced AI users and made them champions. They are on track to a 20% drop in audit cycle time and a double-digit uplift in revenue per professional. 🎧 Listening to Stephanie's story is in the companion episode.
Intervention 2
When IT Asks HR
An IT manager at one of our client companies called me recently. "Luis, these two agents are not working well together." I told him: take it to Marla. She runs HR at your company. Do not tell her you have two agents. Tell her you have two new employees, A and B. Here is what you want them to do. They are not getting along. What do you do? Marla had a playbook in 90 seconds. HR has had that playbook for 50 years. The advice was spot on. What looked like a technical problem was solved with a management technique. That is what happens when companies route AI questions to the function that has been managing the human side of work for half a century.
Intervention 3
Capturing Judgment
A construction firm we work with interviewed retired engineers. The ones who walked a jobsite for 40 years and could tell from 20 feet away that the rebar spacing was wrong. They captured that judgment in agents and used those agents to train new hires on jobsite decisions the new hires would never have made on their own. The talent development team designed the intervention. Not IT.
🪑 The View From Two ChairsAurelie Saada, AI-Change Leader at Microsoft, told us: "The hardest barriers to AI adoption aren't technical. They're perceived. People think they can't. They think they shouldn't. They think they aren't ready. We gave them the confidence that they could actually do it. That's Human Resources and Cultural Transformation work, not IT work."
Aurelie Saada — AI-Change Leader, Microsoft
She also flagged the unsolved performance question. "HR needs to rethink how performance is evaluated, particularly for humans managing agents."
Aurelie Saada — AI-Change Leader, Microsoft
Catherine Moy, Chief People Officer at BDO US, named the classic first mistake leaders make: leading with technology as the tip of the spear. Her counter: "This is very organic. It's digital-native friendly. It's meant to percolate up. We need some loving architecture."
Catherine Moy — Chief People Officer, BDO US
Loving architecture. The whole HR craft in two words. And Catherine left every Chief Human Resources Officer with the question that has to be answered next: "How do we build the critical thinking skills for the AI era in people who haven't had the experience of building it from the bottom? That is a key intervention for Human Resources in every single company."
Catherine Moy — Chief People Officer, BDO US
🧭 Start With DiagnosisIf you are a Chief Human Resources Officer reading this, the first move is a diagnosis. What is your workforce already doing with AI? Where is the value hiding? Who are your internal experts who can help you train others and lead by example? What interventions does your culture actually need? Across the AI4SP diagnoses we have run in the past 18 months, the same five patterns surface in nearly every company:
🛠️ The Playbook This Week
"We are spending $37 billion a year on the technology and pennies on the change management. We are hiring the most powerful coworker in history and skipping orientation. Every successful AI transformation we have guided comes back to the same thing: somebody in the room owned the human side of the work." "When HR is in the chair from day one, the technology actually shows up in the results. When the chair is empty, the technology shows up in a footnote."
Luis J. Salazar — Founder, AI4SP
🔗 Resources🧭 Start Your Diagnosis
AI Compass
If you want the structured version of the diagnosis described in this issue, that is exactly what AI Compass is built for. What your people use, what they save, what they struggle with, surfaced so HR and business leaders can act on it. Our partner network in the US, UK, Spain, Brazil, and Australia can help you get started.
Luis J. Salazar | Founder | & Elizabeth | Virtual COO | AI4SP Sources: AI4SP Research (8,000+ AI agents guided across nine enterprise clients; eight-element agent deployment framework; 80% IT-led failure rate corroborated with IBM, McKinsey, Deloitte; stats drawn from 70-country research base; accounting firm and construction firm case studies are real AI4SP client engagements, individuals identified by first name only with permission). Frontier lab channel reinvention: OpenAI announcement on DeployCo · Bain press release · Axios on DeployCo · Anthropic announcement · Blackstone press release · WSJ on Anthropic JV · FT on Anthropic JV · Google Cloud partner fund blog · Google Cloud press release · CRN on Google partner fund · McKinsey Google Transformation Group announcement · PR Newswire. External research: Fortune / WalkMe (80% bypass, 52-point trust chasm) · intuitionlabs.ai (95% pilot failure) · Menlo VC State of Generative AI in the Enterprise ($37B enterprise spend) · MIT Sloan Review (76% see agentic AI as coworker) · BCG (50-55% jobs reshape) · Fortune / Anthropic (jobs as bundles of tasks) · Deloitte 2026 Global Human Capital Trends (14% of leaders adept at human-AI interaction design) · HBR / KPMG / UT Austin (5% sophisticated users; Ambitious, Curious, Iterative, Reflective behaviors) · HBR (six psychological debts of AI adoption) · Deloitte AI-Enabled Workforce Shift · Brookings (limits of worker retraining). 📣 Feel free to use this data in your communications, citing "AI4SP" and linking to AI4SP.org. 📬 If this email was forwarded to you and you'd like to receive our bi-weekly AI insights directly, click here to subscribe: https://ai4sp.org/60 |