
In a December 19 column, veteran financial advisor Ted Jenkin argues that AI-based financial coaching systems will soon outperform most human advisors on cost, discipline and real-time monitoring. He describes tools like AI-powered "TheBuckGuru" as early examples of 24/7 personalized advice.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Pieces like this Fox Business column tell us how fast generative AI is moving from novelty to presumed baseline in consumer finance. The author frames AI advisors not as a speculative future but as an inevitable upgrade—more disciplined, always-on, and cheaper than human planners. That’s a strong signal of where expectations are heading, even if the underlying products are still early.
In practice, widespread AI wealth management would turn personal finance into another always-on human–AI feedback loop. Models would ingest continuous streams of transaction, employment, and market data, making granular recommendations in real time. That generates exactly the kind of rich behavioral and economic data that could feed back into frontier models, while also raising serious alignment questions: Who does the AI ultimately serve—the client, the platform, or the product manufacturers? For the AGI race, the main impact is sociotechnical rather than purely technical: if consumers grow comfortable trusting AI with their life savings, it makes it socially easier to accept AI “co-pilots” in other high-stakes domains too.


