Disruption describes the process by which emerging technologies, platforms, or economic models radically displace incumbent systems by offering superior capability, lower cost, or fundamentally new value propositions. In the context of AI, blockchain, and spatial computing, disruption manifests as wholesale replacement of legacy industries—finance, knowledge work, supply chain, governance—rather than incremental improvement.
Semantic Classification
Content
- The unlocking of the potential of billions of humans in emerging markets through equity of access to convenient education. As the cost of hardware falls and it becomes possible to carry local voice to voice inferencing in a phone, or even headphones, even while working necessary jobs.This will likely happen within a decade.
- The disruption of legacy way of working within tranches of government, and professional classes in more developed nations as AI outperforms human actors.
- The consolidation of public dissatisfaction with the Web2 model, which has seen abuse of personal data for profit. Addition of AI to this mix may cause a substantial collapse of trust for many reasons.
- The possible near term end of the internet as a recognisable structure / system, due to signal / noise and the impracticality of navigating an untrustable medium as a human. Serious doubt about internet search itself Death of the Internet
- A growing expectation of hyper personalisation across the world, as it becomes necessary to deploy AI agents to even navigate the internet, the truth will become malleable, based more on heuristics, and will have to be mediated by a capable AI interface, which will likely be multimodal and voice first. People will tend to want to hear what they want to hear and this may trend to “bubbles of one”, where each hyper-personalised agent acts as a boundary layer between individuals and the outside world.
- A fracturing of mutual understanding between humans, at a far finer granular scale. Local inferencing engines which may not even connect to the wider internet, within communities (online and offline) will provide education and feedback reinforcement within self elective groups. This is most analogous to micro-states, and will be almost impossible for governments to control, especially in emerging markets.
- Changes to global money, as autonomous agents make transnational value exchange unstoppable, knowledge work will become almost impossible to keep within traditional nation state borders, and also impossible to tax.
- Radical shifts in global supply chain dynamics as AI to AI negotiations make an already inscrutable system completely opaque. More, but smaller system shocks, as chaotic feedback causes short term collapses in money systems, supply systems, politics, transport etc.
- The current and emerging legal landscape with respect to AI is very conservative, and likely meaningless even in the medium term. It will be abused by incumbents.
- Destinations which leverage AI for immersive and hyper personalised experiences, from which startling, delightful, and unique narrative flow, must be designed from the ground up, not with respect to the law, but to an even higher standard of verifiable trust. This approach nullifies external criticism before it can begin. Open cryptography and world class audits should underpin everything. To accomplish this the designs should be data islands, with ingress and egress of data through very specialised channels built around user choice and sovereignty.
- Changes in the use of energy, and natural resources in response to climate concerns
- Shifts in traditional axes of global power, as productivity skews radically toward emerging markets
- This intersection of human scale high bandwidth media presentation, real-time AI, trust, and personal data sovereignty, has been my specialism for nearly a decade. I have written and published open source on the topic.