01 Separate technical usefulness from enterprise readiness
These are Koko’s conditional scenarios, not predictions or assigned probabilities. They use the same two uncertainties and names as the CFO 2035 guide, so leadership and capital choices can be considered together.
The first uncertainty is commercially useful technology: reliability, economics, integration and relevance to a real problem. The second is enterprise readiness: trusted information, authority, skills, incentives, infrastructure and the ability to change. A firm can be ready in one capability and unready in another. The scenarios need not describe an entire economy at once.
02 Four operating environments
| Scenario | Conditions | Enterprise and leadership implications | Choice now |
|---|---|---|---|
| Compounding enterprise | Useful technology and strong readiness | Capabilities coordinate across functions and selected partners. The executive team reallocates capital and capacity as evidence changes. Professional standards and independent assurance endure. | Scale proven capabilities; invest in the next bottleneck; preserve context, authority and exit rights. |
| Stranded intelligence | Useful technology, weak readiness | Agents proliferate within silos. Review burdens, conflicting definitions and unclear ownership absorb potential gains. C-suite disputes become the limiting factor. | Pause duplicate pilots; repair knowledge, permissions, incentives and work design before expanding autonomy. |
| Disciplined optionality | Slower or costlier progress, strong readiness | The enterprise uses dependable automation and human expertise effectively. It can exploit breakthroughs when the economics justify them. | Improve current operations; fund bounded learning; retain skilled people and avoid large speculative commitments. |
| Fragmented progress | Constrained usefulness and weak readiness | Incompatible platforms, regional constraints and change fatigue limit coordination. Functional and local models remain prominent. | Simplify the portfolio; secure critical services and data; stabilize outcomes before undertaking a broad reorganization. |
The axes synthesize themes across technology outlooks, operating-model research and governance guidance. No cited publisher has validated this four-scenario model as a forecast. McKinsey ↗ Oliver Wyman ↗ BCG ↗ McKinsey ↗
03 The hypotheses that deserve a continuing challenge
| Koko hypothesis | Supporting rationale | Strong countercase | Observable signal that changes the view |
|---|---|---|---|
| Capabilities become a more important unit of work and investment. | Agents and reusable services may lower some coordination costs across functions. | A new matrix can add management cost without removing handoffs. | Outcome improvement after full coordination cost, compared with a credible functional alternative. |
| Knowledge becomes a source of cumulative advantage. | Maintained meaning and decision evidence can improve reuse and reduce repeated interpretation. | Context can become stale, biased or more expensive to maintain than to reconstruct. | Fewer recurring exceptions and better decisions across more than one consumer. |
| Trust constrains usable autonomy. | Reliable identity, authority and evidence make consequential delegation more feasible. | Excessive controls can delay work; automated controls can also fail. | Control reliability, denied unauthorized actions, review workload and recovery performance together. |
| Executive influence shifts toward resolving cross-capability trade-offs. | Technology, data, capital and workforce choices become more interdependent. | Strong product or functional leaders may coordinate effectively without structural convergence. | Faster resolution of material conflicts with a traceable owner and better enterprise outcomes. |
| Software buying shifts toward capabilities and outcomes. | Headless interfaces and AI-native services can change how work is purchased. | Incumbents retain valuable records, integrations and distribution; outcome contracts can hide risk. | Net service economics, quality, liability allocation and a tested supplier exit. |
| Apprenticeship becomes a strategic constraint. | Less routine work can reduce the practice that builds expert judgment. | AI-supported learning may accelerate development if deliberately designed. | Demonstrated proficiency and succession strength, alongside automation and workload measures. |
| Physical and digital operations become more closely coordinated. | Physical AI and improved sensing can link decisions to assets and real-world execution. | Safety, uptime, energy and integration costs can outweigh task-level gains. | Reliable end-to-end performance under realistic disruptions and full lifecycle costs. |
| The boundary of the enterprise becomes more selective. | Capabilities may be supplied through external services and agent networks. | Data, sovereignty, customer trust and operational dependency can favor internal ownership. | Better outcomes after partner-control, switching and concentration costs. |
These are editorial inferences supported directionally by the source library. They remain open to contrary evidence. Investor context and services theses are particularly useful for generating questions, not for establishing enterprise returns. Andreessen Horowitz ↗ Foundation Capital ↗ Andreessen Horowitz ↗ Bessemer Venture Partners ↗
04 Sector and regional overlays change the answer
A regulated lender, a manufacturer and a professional-services firm will not progress identically. A lender must preserve decision evidence and appropriate oversight. A manufacturer must connect AI decisions with safety, assets and uptime. A services firm must determine which expertise and relationships customers will still pay for.
Energy, supply chains, demographics, customer trust and applicable obligations can change the preferred operating model. Legal leaders should maintain a current obligation register and assess specific applicability; a technology forecast or voluntary standard does not establish the law. World Economic Forum ↗ European Commission ↗ International Energy Agency ↗
05 A scenario should change a decision
For each material capability, record the scenario the current investment assumes, the evidence that supports it and the trigger for changing course. A faster model release alone may not justify more capital. A better accepted outcome, lower total operating cost or demonstrated control improvement may.
Review operating signposts monthly and the strategic portfolio quarterly, adapting the rhythm to risk. Revisit immediately after a material incident, legal change, supplier shift or repeatable commercial breakthrough. This is a proposed editorial and management practice; no automated monitoring is active.