Meta is "betting on trillions" in the AI race.
Meta is "betting on trillions" in the AI race. Meta has pegged the compensation of key executives to an ultra-aggressive target: a more than sixfold increase in market capitalization to over $9 trillion. The company has issued options (Zuckerberg is not included in the program), and payouts are only possible if the stock soars by tens or hundreds of percent: the "minimum" level requires almost +88% of the current price, and the maximum trigger is approximately $3,727 per share by February 2028. At the same time, most participants are adding RSUs worth approximately $170 million.
Why this matters: The AI labor market is overheated, and Meta is signaling its willingness to retain its management team "Tesla-style"—with the price of success measured in trillions. This also raises expectations for the return on the enormous AI capital expenditures (data centers, chips, hiring).
What's next: Stay tuned for Meta's capital expenditures in 2026 and how the company monetizes AI through advertising, products, and infrastructure.
The SEC and CFTC have drawn a "red line" in crypto—and it's a game-changer.
For those building a token-based product in the US: uncertainty has diminished. The SEC has issued an interpretation of the application of laws to cryptoassets, and the CFTC has promised coordinated administration. The key: "most cryptoassets are not securities," and investment contracts can expire.
What does this mean for businesses?
1) Tokenomics can be designed as compliance-by-design, not just a matter of luck.
2) A lifecycle model is emerging: an asset can be temporarily classified as a security and then removed from the regime.
3) Investors can more easily make DDs based on a unified matrix of categories and obligations.
Do you think this is sufficient for mass tokenization, or is a separate market structure law needed?