The AI industry faces a major perception problem, fueled by fears of job loss and wealth inequality. To build public trust, tech companies should emulate Gilded Age industrialists like Andrew Carnegie by using their vast cash reserves to fund tangible public benefits, creating a social dividend.

The democratization of technology via AI shifts the entrepreneurial goalpost. Instead of focusing on creating a handful of billion-dollar "unicorns," the more impactful ambition is to empower millions of people to each build a million-dollar "donkey corn" business, truly broadening economic opportunity.

New technologies perceived as job-destroying, like AI, face significant public and regulatory risk. A powerful defense is to make the general public owners of the technology. When people have a financial stake in a technology's success, they are far more likely to defend it than fight against it.

The inability of the general public to invest in generational companies like OpenAI creates a societal risk. When a generation feels economically disconnected from major value creation and simultaneously threatened by that same technology, it fosters a negative future for everyone.

The most profound innovations in history, like vaccines, PCs, and air travel, distributed value broadly to society rather than being captured by a few corporations. AI could follow this pattern, benefiting the public more than a handful of tech giants, especially with geopolitical pressures forcing commoditization.

The concentration of AI power in a few tech giants is a market choice, not a technological inevitability. Publicly funded, non-profit-motivated models, like one from Switzerland's ETH Zurich, prove that competitive and ethically-trained AI can be created without corporate control or the profit motive.

Instead of cash handouts (UBI), democratizing ownership of AI companies gives people a stake in the means of production. This aligns incentives and allows the public to benefit from wealth creation, not just receive subsidies, as AI transforms the economy.

To avoid a future where a few companies control AI and hold society hostage, the underlying intelligence layer must be commoditized. This prevents "landlords" of proprietary models from extracting rent and ensures broader access and competition.

To combat public fear of AI-driven wealth disparity, the tech industry should champion direct equity ownership for all citizens over UBI. Creating a fund like 'Invest America' that gives everyone a stake in major tech companies would align public interest with technological progress, unlike UBI which can strip away purpose.