institutional-capability
DataMPowered research on institutional-capability, institutional capability, Operational Intelligence and accountable work.
Discover 1 article and 9 whitepapers related to this topic.
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Articles
1 article tagged with "institutional-capability"
Research Papers
9 whitepapers tagged with "institutional-capability"
When Productive Capability Leaves the Balance Sheet
Cloud, AI and the accounting question inside Australia's productivity puzzle
Cloud computing shifted productive capability from owned capital toward purchased services. Generative AI may move cognition the same way. This essay asks what that structural shift means for Australia's productivity puzzle—not whether national accounts simply forgot to count SaaS.
There Is Another AI Race We Could Choose to Run
The contest over models is real. A second contest, over where capability and judgement live, is still open.
Stronger AI need not absorb the capability of people and institutions. This essay tests whether a second trajectory is technically credible: models that help people reach capability which stays local, authoritative and replaceable.
If AI Does the Work, What Must the Institution Still Be Able to Do?
Task capability is not role substitutability. Reliability is not authority. And keeping the outputs is not keeping the capability.
AI can increasingly perform the observable tasks of a role while the institution quietly loses the capability the role carried. The more useful question is not which jobs AI will take, but what the institution must still be able to do for itself.
The Knowledge We Buried Is Moving Again
What Salesforce Koa, the pursuit of superintelligence and a warning from Sam Altman reveal about institutional capability
Salesforce Koa shows how accumulated enterprise operating knowledge can become specialised model capability. The institutional question is what should enter the model, and what must remain independently authoritative.
Australia Is Building AI Infrastructure. But What National Capability Are We Building?
The national return on AI investment depends on whether compute and models translate into productive, sovereign and accountable capability.
Australia is investing in AI infrastructure and training. The larger question is how compute and models translate into productive, sovereign and accountable Australian capability.
Are We Building Institutional Capability Inside AI When We Don't Need To?
Establish what can be established. Use inference for what genuinely needs to be inferred.
AI can make existing organisational capability easier to discover and use. But we may be taking a different path, reconstructing knowledge, rules, authority and execution inside increasingly capable AI systems.
Information Rich, Judgement Poor
When cognition becomes cheap, what remains scarce?
When machine cognition becomes cheap, productivity depends on more than consuming more AI. This essay examines Australia's productivity puzzle, the economics of cheap cognition, institutional capability, judgement and the unfinished digital transformation.
AI Isn’t Just Changing Jobs. It’s Exposing Why We Designed Them This Way.
Digitisation taught humans to translate intent into systems. AI is beginning to make that translation happen in real time. That may force us to rethink not only jobs, but applications, management, education, organisational knowledge and the skills we choose to build next.
Digitisation taught people to translate human intent into systems, applications and specialised processes. AI is beginning to collapse that translation layer. What does that mean for jobs, skills, management, education and institutional capability?
Are We Transforming Around the Wrong Thing?
The opportunity may not be to rebuild organisations around AI, but to make institutional capability easier for people to discover, assemble and use.
We may be treating AI as another enterprise transformation. The opportunity may be a language interface into capability institutions already have.
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