Speaker 1: Bloomberg Audio Studios, podcasts, radio news.
Speaker 2: Single best idea is to look at equities, bonds, currencies, commodities,
Speaker 2: and anybody informed less informed can look at the Bloomberg
Speaker 2: terminal screen and go there's a lot of blinking going on,
Speaker 2: and there's something going on. And it can be correlations
Speaker 2: between equities, bonds, currencies, commodities, it can be actual changes.
Speaker 2: Or you can just look at the price of a
Speaker 2: new bracelet at Tiffany and go ooh. Gold's up and
Speaker 2: up is barely describing it. It's surging. There's something out
Speaker 2: there in the last forty eight hours, the cacophony of opinion,
Speaker 2: the cacophony of study of new things like bitcoin down
Speaker 2: two thousand in the morning or gold up two hundred
Speaker 2: dollars and all the foreign exchange in that Audrey Child
Speaker 2: Freeman really helping there is well, it's just you know,
Speaker 2: it's nuts out there. Providing cover today was Brian Weezer.
Speaker 2: He is legendary on Wall Street for looking at the
Speaker 2: ad business and studying TV. He's with Madison and Wall
Speaker 2: Let's listen to Brian Weezer on the moment at hand.
Speaker 3: It's evolving. Here's the thing I argue this is a
Speaker 3: contrary view for all of AI. There's a lot of
Speaker 3: fears that AI is going to replace a lot of people.
Speaker 3: I argue it's going to cause the need for more
Speaker 3: people because that's more complexity, and the complexity is what
Speaker 3: requires people to manage the processes. We already saw this
Speaker 3: in ad tech at Technique, the automation of those core
Speaker 3: media buying. It was meant to automate the whole industry. No,
Speaker 3: it caused the need for more people, and you're going
Speaker 3: to see that in the creative size the agencies.
Speaker 2: I can't emphasize enough how important that comment is, whether
Speaker 2: you agree or disagree with it, or even are removed
Speaker 2: from advertising and media and all that. We don't have
Speaker 2: a clue what AI is going to do, and there's
Speaker 2: somebody who's saying it's going to be a job formation machine.
Speaker 2: We will see. One of my conversations of the year
Speaker 2: last year was Nancy Lazar at Piper. She was just
Speaker 2: fabulous about the need to employ America outside of healthcare,
Speaker 2: outside of government. Nancy Lazar again, like Brian on AI.
Speaker 1: This moment, I think they've come to reality that the
Speaker 1: US economy is actually okay. The unaployment rate seems to
Speaker 1: have peaked on the plumbent claims are down. Support for
Speaker 1: the FED has actually gone up. Spurts not the right word,
Speaker 1: but I think my confidence of the FAT has actually
Speaker 1: line up that they are seeing. This is what we
Speaker 1: think is a reacceleration the economy, supported by their own efforts.
Speaker 1: Rates are down one hundred and seventy five basis points
Speaker 1: nominal GDP minimums five, maybe it's even six seven percent.
Speaker 1: Rates are plenty low. You're getting green shoots. Small businesses
Speaker 1: are benefiting, although it's going to and I think we're
Speaker 1: moving away from a bifurcated economy to something that's healthier.
Speaker 2: Went on with a piercing discussion of AI in her
Speaker 2: constructive feel about the multiplier effect of artificial intelligence. It
Speaker 2: has been a spirited forty eight hours on podcasts. We're
Speaker 2: on an Apple, we're out on Spotify and of course
Speaker 2: on YouTube podcasts. It's single best idea