A Wake-Up Call for Every CHRO
HR Is Building the Wrong Ladder. Innovation Leaders Are Paying the Price.
Your company’s innovation capability compounds with AI adoption. Each level multiplies the one before it. But here’s what nobody’s saying to HR, the training programs, the career paths, the org designs you’re running? They’re built for a curve that doesn’t exist anymore. HR owns the ladder. And the ladder’s wrong.
Compound Value Starting
Humans Do Everything Intelligence Does the Routing
Stage 1
Ask Better Questions
AI helps individuals explore, but nothing compounds. Every team runs its own experiments. No shared memory, no organizational learning. HR’s role here: training programs, tool adoption, prompt literacy. Necessary, but it’s the ground floor.
Stage 2
Make Connections Visible
AI maps what the organization actually knows. Relationships become infrastructure. The dots start connecting across silos. HR’s role shifts: from training individuals to building the systems that make knowledge legible across teams.
Stage 3
The System Does the Routing
AI runs the coordination layer. Knowledge compounds automatically. Every interaction makes the next one smarter. Facilitated collision at scale. HR’s job is now governance: who gets access, how decisions route, what guardrails exist.
Stage 4
The Organization as Intelligence
The company learns from itself. Engineered serendipity becomes the default operating model. Self-improving systems. The innovation nervous system runs without manual coordination. HR at this level? It’s designing the rules that shape how intelligence flows.
The Ladder HR Should Be Building
6 Levels Your People Need to Climb
Most HR teams are training people for L1 (prompting, literacy, tool adoption). That’s the ground floor. Meanwhile, innovation leaders need people at L3 and above. The gap between what HR’s building and what innovation requires is the single biggest bottleneck in every company that submitted a challenge. Click any level to see what HR has to solve before the org can climb.
L5
Self-Improving
The organization learns from its own operation. Processes continuously optimize. Improvements generate autonomously. Advantages compound daily.
HR role, Redesign careers around contribution to the learning system, not job titles
L4
Adaptive
Acts on signals before anyone asks. Anticipates disruptions. Makes decisions autonomously. Responds in real time.
HR role, Train people to manage systems that act without permission, not just tools that wait for input
L3
Knowledgeable
Knows what it knows, and can prove it. Verified, governed knowledge. Traceable decisions. Org-wide accessible insights.
HR role, Build knowledge governance skills. Every employee becomes a curator, not just a consumer
L2
Legible
Can describe its work so a machine can act on it. Structured workflows. Machine-readable processes. AI can reliably execute tasks.
HR role, Teach people to make their work machine-readable. The hardest culture shift on the ladder
L1
Experimenting
Uses AI individually, but nothing compounds. Isolated pilots. Department-level adoption. No shared memory or feedback loops.
HR role, Create safe experimentation frameworks. Permission to fail. Budget for learning
L0
Tribal
Runs on tacit knowledge and habit. Knowledge stuck in people’s heads. Inconsistent processes. No documentation, no reuse.
HR role, Start here. Most companies are here. Make invisible work visible
What 150 Leaders Revealed Without Knowing It
HR’s Blind Spot
Innovation leaders were begging for help with AI adoption. HR leaders were begging for help with people readiness. Neither group mentioned the other. That’s not a coincidence. That’s a structural failure, and it starts with HR.
On the innovation side:
“How to evolve into AI-powered operation, what investments create real capability”
Innovation leader, global aquaculture company
“Scaling Gen AI from PoC to production”
Innovation leader, major electronics manufacturer
“Make/Buy decision on AI agentic framework”
Innovation leader, global aerospace company
And on the HR side , a completely separate group, sitting in different sessions, asking the same question from the inside:
“HR roles in age of intelligent automation, preparing workforce for AI future”
Innovation leader, Nordic financial services
“Keeping employees engaged through tough times with no money”
Innovation leader, defense electronics
“AI adoption fatigue, just another change”
Innovation leader, consumer products company
One group asks “how do we get AI into our innovation process?” The other asks “how do we get our people ready for any of this?” HR should’ve been in the innovation room. They weren’t. And that gap, between what innovation needs and what HR’s delivering, is the reason your AI adoption is stalling.
The Question HR Isn’t Asking
Who Owns Your Organization’s Intelligence?
Anthropic, Google, Microsoft, AWS, and Palantir all run the same play, sell the capability, then sell the governance around the capability. The deeper you embed, the harder it is to leave. Right now, your organization’s institutional knowledge is migrating into vendor platforms. And HR, the one function responsible for people development, isn’t at the table where that decision is being made.
AI Capability
The tool enters the workflow
New Burdens
Governance, skills, roles change
Vendor Lock-in
Context compounds inside their system
HR as the Missing Layer
People must own the intelligence, not the vendor
The part nobody says out loud: the same improvements that make the model more effective at helping your team also make it more effective at becoming indispensable. Every prompt, every workflow, every decision that runs through a vendor’s AI builds their moat and erodes yours. Your people’s expertise is being captured by someone else’s system.
This is HR’s fight. Not IT’s. Not innovation’s. HR. Because the question isn’t “which AI tool do we buy?” It’s “are we building people who own the intelligence, or people who rent it?” If HR isn’t driving that conversation, nobody is.
The Org Chart HR Keeps Defending
Every Role HR Designed Is About to Break
Jack Dorsey and Roelof Botha just published their blueprint for replacing middle management with AI coordination at Block. Two thousand years of hierarchy, from Roman legions to corporate org charts, optimized for one constraint, a leader can manage 3 to 8 people. That constraint is disappearing. And every job description, career ladder, and performance review HR built around it? Those break too.
Old, Hierarchy Routes Information
Managers carry context up and down the chain
Span of control limits org size at every layer
Strategy flows down, data flows up, slowly
Middle management is information routing
Roadmaps are hypotheses from the top
Vision, mission, and culture live in documents, posters, and annual retreats
New, The Innovation Nervous System
A compound knowledge graph replaces the information chain
Every team member sees the full relationship map, not just their slice
Real conversations generate the innovation pipeline, not suggestion boxes
Builders, owners, and coaches. No information routers
The system compounds. Every interaction makes the next one smarter
Values are encoded in agent rules and routed through human judgment. Culture isn’t spoken. It’s built into the system
HR built for the left column. Innovation needs the right.
Block isn’t a theory. They’re mid-transition with thousands of employees. Dorsey’s honest, “It will be a difficult one, and parts of it will likely break before they work.”
Here’s the question every CHRO needs to answer this quarter, If intelligence replaces what hierarchy does, who’s redesigning the roles? Who’s rewriting the career paths? Who’s prototyping the new performance frameworks? If HR isn’t doing it, the answer is “nobody.” And your innovation leaders will keep wondering why their AI investments aren’t compounding.
The CHRO’s Playbook
Five Moves That Separate HR Leaders from HR Observers
These aren’t theoretical. They’re extracted from 28 challenges submitted by real innovation leaders, mapped against four frameworks for how organizations actually climb the AI curve. If you’re in HR and your innovation counterpart is frustrated, this is why,
Move 1
Map your people to the 6-level ladder. Honestly.
Most companies are at L0 or L1. That’s fine. But you can’t build an AI-native innovation capability on top of tribal knowledge. HR’s got to assess where people actually are, not where the quarterly report says they are.
Move 2
Train for legibility, not just literacy.
AI literacy programs teach people to prompt. That’s L1. The real unlock is L2, teaching people to make their work machine-readable. Structured outputs. Documented decisions. Workflows that an AI can execute, not just assist with. That’s a harder culture change than any tool adoption.
Move 3
Own the governance layer before the vendor does.
The permission-loop pattern is real. Anthropic, Microsoft, and every IMS vendor are building the same lock-in dynamic. Your institutional knowledge should compound inside your organization, not inside their platform. HR has to build the people and processes that make that possible.
Move 4
Redesign roles for the agentic reality, not the old org chart.
Builders, owners, and coaches. That’s the future of work when AI handles coordination. Even if your company isn’t ready for that extreme, the direction is clear, roles defined by what humans uniquely contribute (judgment, relationships, creativity), not what they route. HR should be prototyping these architectures now.
Move 5
Make innovation readiness a talent metric, not just a culture poster.
Where are your people on the acceleration curve? What percentage can work at L2 or above? How many can manage autonomous systems, not just use assisted ones? These are measurable. They should be measured. And they should show up next to your innovation pipeline metrics.
You’re Already Behind
The Jobs You’re Designing For Have Already Changed. You Just Haven’t Noticed.
Anthropic’s Claude went from $1B to $30B in annualized revenue in 14 months. Nothing in enterprise software history comes close. These roles aren’t disappearing. They’re radically changing, and every job description HR wrote last year was written for a world that no longer exists. The race isn’t over. But if you’re still designing for the old reality, you’ve already lost the first lap. The question is whether HR will lead the redesign or keep polishing job descriptions for roles AI is rewriting in real time.
$0B Anthropic annualized revenue, April 2026
6 yrs
Slack
Time to $1.5B revenue
18 mo
Wiz
$0 to $100M ARR (record at the time)
14 mo
Anthropic
$1B to $30B ARR (nothing compares)
Eight of the Fortune 10 are Claude customers. Business subscriptions quadrupled in Q1 2026. When Anthropic’s releases triggered a $2 trillion wipeout in global SaaS valuations, Microsoft integrated their technology into Copilot within weeks. This isn’t a trend. It’s a phase transition. And the HR team still running last year’s competency models? They’re building career ladders for a building that’s being demolished.
The Evidence HR Can’t Dismiss
This Isn’t Theory
Block / Dorsey-Botha, April 2026
“For two thousand years, from the Roman contubernium to today’s global enterprises, we’ve had no real alternative” to hierarchy. AI changes the coordination constraint. Block is replacing middle management with a system that carries context.
Anthropic Growth Data, Q1 2026
$1B to $30B ARR in 14 months. Business subscriptions 4x in two months. 500+ companies spending $1M+ annually, up from a dozen two years ago. The adoption pressure is real and accelerating faster than any enterprise software in history.
Summit Challenge Data, 2025
Of 150 innovation challenges from leaders at BASF, Siemens, LEGO, Google, Intel, Airbus, P&G, Sanofi, and 90+ other companies, 28 challenges mapped to AI or talent. Zero explicitly connected the two.
Running 90+ AI agents across sales, content, research, and relationship management. 18,752 people in our relationship graph. The lesson, the technology was the easy part. The people architecture, the part HR owns, was the bottleneck every single time. Not the tools. Not the budget. The people readiness.
The Data Behind This Post
This is the third post in a 10-part series drawn from 150 challenges submitted by innovation leaders at the Sponsors Summit. Here’s the data that drives everything above.
0 Innovation leaders surveyed
0 Cited AI or talent as top blocker
0 + Companies represented
0 Connected HR strategy to innovation readiness
HR, Where are your people on the curve?
If your innovation strategy assumes AI and your HR strategy is still running competency workshops from 2023, you’ve already lost the race. The CHROs who build the right ladder will define the next decade. The rest will wonder what happened.
