Interview
Alex Tabarrok - Prizes, Prices, and Public Goods
- Global pandemic response is projected to lag behind viral spread unless new incentives, such as a billion-dollar prize or direct manufacturing cost payments, accelerate vaccine production before regulatory approval.
- Vaccine development will likely require a diverse portfolio including mRNA, DNA, and therapeutic options due to uncertainty regarding success, with significant risks of trial shutdowns for major candidates like AstraZeneca despite high expectations.
- The financial costs of the pandemic are expected to reach the trillions, justifying immediate funding that accepts waste and failed projects, while Congress is predicted to remain slow and ineffective in distributing capital.
- Prize mechanisms may be announced quickly with winner determination occurring one to two years later, bypassing the immediate need for complex funding committees, whereas direct government funding may suffer from poor selection of winners.
- Research productivity in high-tech sectors like semiconductors and pharmaceuticals faces diminishing returns, potentially limiting long-term economic growth to a 40% increase over a century unless a major breakthrough enables 600% growth.
- Stagnant sectors such as education and healthcare will see rising prices and wages for skilled labor due to opportunity costs from progressive sectors like Silicon Valley, while the service sector share of the economy continues to grow.
- Artificial intelligence and online platforms are expected to scale education significantly, allowing single instructors to reach hundreds of thousands of students while AI tutors achieve efficacy comparable to human tutors in randomized trials.
- Universities are predicted to transition online, with high-reputation institutions expanding globally and lower-tier institutions struggling, potentially leading to a "debundled" model separating content delivery from human coaching.
- Future educational and economic success for young workers will depend on skills complementary to automation, such as data science, machine learning, and design, rather than competing directly with automated systems.
- Dominant insurance contracts are expected to double successful public good project outcomes compared to standard assurance contracts, while online platforms and blockchains will facilitate governance experimentation and low-cost political migration.
- The US government is forecast to continue struggling with bureaucratic inefficiency and state capacity, potentially triggering a strategic shift toward an "innovation state" to compete with China and India in pharmaceuticals, genetic engineering, and AI.
- Online education platforms are projected to improve automatically through advancing AI captioning and translation algorithms, reducing the need for direct operator intervention while creating risks for traditional teachers.