While large enterprises are stuck in experimental phases, startups are aggressively using AI in production for legal, marketing, HR, and accounting. This is because startups lack the organizational resistance to headcount reduction that plagues incumbent companies.
Escalating war with Iran carries a catastrophic risk beyond closing the Strait of Hormuz. Iran could target the desalination plants that provide water to millions in the Arabian Peninsula, rendering the region uninhabitable and destroying its economy.
AI leaders' apocalyptic messaging about sentient AI and job destruction is a strategy to attract massive investment and potentially trigger regulatory capture. This "AB testing" of messages creates a severe PR problem, making AI deeply unpopular with the public.
AI platforms like Anthropic and OpenAI are seeing unprecedented revenue growth because they're augmenting and competing with human labor costs. This is a far larger market than traditional IT budgets, enabling multi-billion dollar revenue months.
The mere proposal of a wealth tax, even before it passes, inflicts massive fiscal damage. Analysis by the Hoover Institution shows the threat alone led to high-earner exodus and faulty revenue projections, resulting in a net negative financial impact on the state.
While some unions opposed the current wealth tax proposal for not cutting them in, they are not against the concept. The California Teachers Association is reportedly working on its own version for the next election, ensuring all major unions "wet their beaks" to create a powerful coalition.
A large portion of enterprise AI spending is driven by companies needing to show their boards they have an "AI strategy." This revenue is not yet tied to critical, production-level workflows, questioning its long-term quality and durability until that transition occurs.
The capital investment for AI infrastructure is astronomical. A single gigawatt data center can cost upwards of $50 billion to build and power, requiring five to six years of revenue just to break even before generating profit.
The chaotic and fearful messaging around AI is fueling successful local protests against data center construction. In 2025 and early 2026 alone, these cancellations represent a loss of over $120 billion in potential annual revenue, halting critical infrastructure development.
Despite powerful open-source AI models, companies like Anthropic post record revenue. This indicates the total addressable market (TAM) is dramatically larger than anticipated, supporting both paid and open-source ecosystems simultaneously rather than one cannibalizing the other.
China's extreme reliance on oil from Iran and Venezuela (20% of domestic consumption) makes it the party most hurt by the conflict. This gives the US leverage, pressuring Xi Jinping to negotiate a resolution to secure China's energy supply and stabilize its economy.
A long war with Iran would directly contradict a core promise to his voters: avoiding foreign entanglements. This betrayal, combined with economic fallout, would alienate his base and likely cause a Democratic sweep in the midterms, effectively ending his presidency.