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Instead of large, top-down innovation projects, Prosus empowers small, autonomous 'jet ski' teams of 5-10 people. These teams experiment rapidly with minimal resources, failing often until they find a viable model. Only then does the larger company invest to scale the proven concept, avoiding massive losses on unproven ideas.

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Instead of building its final passenger jet, Boom first developed a smaller, sub-scale prototype to prove its Mach 2.2 technology. This startup-like, sequential approach proves the core concept at a much lower cost, making the capital-intensive project more manageable and fundable.

The default assumption for any 'moonshot' idea is that it is likely wrong. The team's immediate goal is to find the fatal flaw as fast as possible. This counterintuitive approach avoids emotional attachment and speeds up the overall innovation cycle by prioritizing learning over being right.

AI tools dramatically reduce the resources needed for idea validation. Leaders should restructure teams by creating small, nimble 'discovery' pods (1-2 people) for rapid idea generation and validation. Successful ideas are then passed to larger, traditional 'execution' teams for scaling and implementation.

Large companies like Rippling and TripActions maintain innovation velocity by creating "carved out" teams for new, "zero to one" initiatives. This organizational strategy provides singular focus, empowering a small group to execute with the intensity and speed of an early-stage startup without corporate distractions.

To avoid distracting from its core business, Bolt tests new ventures like scooters and food delivery using a standardized playbook. A small team of 5-10 people is given a modest budget and a six-month timeline to build an MVP and show traction. If successful, they get more funding; if not, the project is shut down.

Small firms can outmaneuver large corporations in the AI era by embracing rapid, low-cost experimentation. While enterprises spend millions on specialized PhDs for single use cases, agile companies constantly test new models, learn from failures, and deploy what works to dominate their market.

To successfully launch new business lines, established companies should act like startups again. Airbnb found success by piloting new services in just one city, perfecting the model with a small user base, and only then scaling. This shrinks the problem and accelerates learning.

Prosus's CEO champions the 'ambidextrous organization' model. This requires balancing scaled operational excellence (discipline, budgeting) with the chaotic innovation of a startup. He actively teaches disciplined managers to respect innovators and vice-versa, preventing cultural silos that kill growth and innovation.

Dara Khosrowshahi describes a two-step innovation process. First, let teams compete to rapidly "hack" a solution and find product-market fit. Second, once a winner emerges, the organization must systematize and automate that solution through engineering to make it scalable and part of the core platform.

OpenAI runs numerous parallel research projects (expansion), knowing most will fail. When a few show promise, it consolidates talent and resources onto those winners (contraction) to scale them up, before spreading out again to explore the next frontier. This cycle is applied to product as well.

Prosus CEO Uses Small 'Jet Ski' Teams to De-Risk Billion-Dollar Bets | RiffOn