The US Election Is Reshaping the Technology Market Faster Than It Appears

In the context of “Today on the ToTheMoon podcast,” this criterion applies: talent in AI is so scarce that a deal is often built around a handful of individuals: Canva acquires Leonardo.ai, Microsoft hires teams associated with Adept, and the product with its legal shell becomes secondary.

The discussion of “Google bought Character AI. Why?” yields a practical test: formally no company was bought — a former Google employee returned, taking key people with him, while Character.AI itself signed a non-exclusive licensing agreement: the hosts call it a new way of buying companies, where the value is the people, not the name.

For the “Is Microsoft dependent on OpenAI?” scene, the decisive point is this: it has the cloud, office products, and money, but a significant share of its AI leadership is tied to OpenAI and the personal relationship with Sam Altman: buying other teams is a way to reduce that dependence and rebuild its own research base.

For the “The educational ToTheMoon” scene, the decisive point is this: parsing the news proved educational for the hosts themselves: the wording never said the company was "bought" — an employee returned to Google with the key people, and the agreement stayed non-exclusive; such deals now have to be read between the lines.

For the “How hard is it for small teams? What are the best companies now?” scene, the decisive point is this: but new interfaces, plugins, voice assistants, and narrow use cases are reopening space for startups. A large company cannot build everything quickly, while a talented team can capture one specific user workflow.

The “Where to invest?” topic becomes clearer once this point is included: the question is not which stock rises thirtyfold: Google and Microsoft are steadier, Roblox offers different potential and risk, private AI companies are out of reach for most investors — and the louder the story, the more important it is to see where real revenue sits and how much expectation is already priced in.

The practical meaning of “On the Roblox case” is that among small public companies actively investing in generative AI the hosts single out only Roblox: a unique 3D use case, a strong technical team, no ads on the platform yet — with a market cap around $25B and high volatility, it has, in their view, the best odds of multiplying.

The decision in “When to expect new companies and small talented teams?” depends on one criterion: new funds keep being announced — Amazon's $230M for generative AI, Menlo with Anthropic at $100M, Cisco at a billion — but last year's mass scattering of money across tens of thousands of startups is gone: investors have become selective.

The “On voice assistants and AI” scene leads to a working conclusion: OpenAI is investing heavily in voice AI, and if voice becomes the new interface, a whole infrastructure will be needed around it — support, indexing, integrations: assistants will "come alive" and everyone will want to plug into the next generation of Siri and Alexa.

The practical meaning of “The standoff in shorts and reels before the election” is that Polymarket and social platforms turn the election into a real-time market, and Silicon Valley is no longer a single Democratic bloc: technology leaders pick sides based on capital, regulation, and access to power.