Wall Street is betting big on AI. But if every bank, hedge fund and adviser uses similar models, does anyone still have an edge? New research explores how AI could reshape investing. https://t.co/PTB4X43g3A
@SebasAHerrera This point about CEOs needing to keep company culture from being eaten by external AI models really hits home. Feels like one of the bigger enterprise AI questions right now.
I like this way of looking at AI in professional services: individual productivity is only one layer.
The bigger question is whether AI can change how the firm itself works, from institutional knowledge to the operating systems around the experts https://t.co/eagStGJx66
How do the AI giants use AI at work? The activities of AI agents inside OpenAI, Google and Anthropic offer a glimpse of what white-collar workers can expect in their own jobs. https://t.co/LkoIT0jHsk via @katiebindley@WSJ
The line that jumped out in @Steve_Rosenbush 's https://t.co/MEV4zhoFB0 piece: Jay Leek of SYN Ventures called agent authorization “the number one biggest emerging problem in AI today.”
Makes sense. As AI agents move into real enterprise workflows, the hard part becomes what they’re allowed to access, modify and do.
https://t.co/pIqMZCul8U via @WSJ
FOR THE FIRST TIME IN 53 YEARS, THE KNICKS ARE NBA CHAMPIONS 🏆
New York defeats San Antonio 4-1 in the NBA Finals, capturing their third championship in franchise history!
@taryn_plumb@DunBradstreet Only 5% say their data is ready for AI? Honestly, kind of reassuring. At least we can all admit we don’t have the infrastructure yet, while absolutely continuing to use AI anyway until someone finds the ROI 😂
Rising tide is right. I keep hearing versions of this across private capital, legal, and accounting too. More tools, more agents, more models flooding in. But access alone won’t be the differentiator. The “edge” will come from the data, workflows, and governance underneath