The prediction explicitly concerns what will happen “over the next several years” if U.S. AI regulation remains a fragmented, state‑level patchwork. As of November 30, 2025, that time horizon has not elapsed, and both the regulatory structure and its long‑term economic effects are still evolving.

Current situation (late 2025):

• The U.S. does not yet have a comprehensive federal AI statute; policy is a mix of federal executive actions (e.g., the 2023 AI Executive Order and subsequent guidance) plus growing state‑level laws and bills (such as state AI, data‑privacy, and automated decision‑making regulations).
• Several states have passed or are considering AI‑related rules (e.g., focused on deepfakes, hiring algorithms, or sector‑specific uses), and commentators already describe this as an emerging “patchwork” of state AI and algorithmic regulations.
• However, there is no clear, widely documented evidence yet that this patchwork has made it “practically impossible” for major providers like Google or OpenAI to serve customers across state lines, nor that it has materially harmed U.S. consumers or measurably slowed AI‑related job growth nationwide. Major AI services (e.g., large cloud AI platforms and popular consumer AI tools) remain broadly available across states, and AI‑related hiring and investment remain strong by late 2025.

Because:

1. The specified timeframe (“over the next several years”) has not passed, and
2. The conditional (“if regulation remains fragmented at the state level”) and outcome (nationwide, material impediment and job‑growth harm) concern medium‑ to long‑term structural effects that cannot yet be robustly measured,

it is too early to determine whether the prediction ultimately proves correct or incorrect.

So, based on evidence available by November 30, 2025, the accuracy of this prediction is inconclusive (too early to tell).