WEBVTT - US Inflation Slowdown in Sight

0:00:01.360 --> 0:00:05.680
<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

0:00:05.880 --> 0:00:09.440
<v Speaker 1>editors who bring you America's most trusted business magazine plus

0:00:09.520 --> 0:00:13.680
<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

0:00:13.720 --> 0:00:19.000
<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

0:00:19.280 --> 0:00:22.079
<v Speaker 2>All right, so you know earlier we got an update

0:00:22.120 --> 0:00:25.239
<v Speaker 2>on US inflation showing signs of moderating in April, giving

0:00:25.280 --> 0:00:29.880
<v Speaker 2>the Fed maybe room to pause read. So we're splitting

0:00:29.960 --> 0:00:33.959
<v Speaker 2>here's here. All right, let's get into it, because two

0:00:33.960 --> 0:00:35.239
<v Speaker 2>folks who know a lot about it and have a

0:00:35.240 --> 0:00:37.600
<v Speaker 2>lot to say about it is Bloomberg's Mike McKee and Dartmouths.

0:00:37.640 --> 0:00:40.400
<v Speaker 2>Danny Blanchflower. Mike, of course, Bloomberg News international economics and

0:00:40.400 --> 0:00:42.880
<v Speaker 2>policy correspondent who's been up for like twenty four hours

0:00:42.880 --> 0:00:45.159
<v Speaker 2>straight talking about this. He's on the phone in New

0:00:45.240 --> 0:00:48.560
<v Speaker 2>York City. Danny Dartmouth, professor of economics, former member of

0:00:48.600 --> 0:00:51.960
<v Speaker 2>the Bank of England's interest rate setting Monetary Policy Committee.

0:00:52.000 --> 0:00:54.520
<v Speaker 2>He's a labor economist. He's with us from zoom in

0:00:54.560 --> 0:00:57.120
<v Speaker 2>Hanover in New Hampshire. Folks, thank you so much for

0:00:57.160 --> 0:00:59.720
<v Speaker 2>being with us. Mike. I want to start with you. You

0:00:59.560 --> 0:01:02.000
<v Speaker 2>were on early breaking it down as a numbers cross

0:01:02.080 --> 0:01:04.720
<v Speaker 2>You've had hours to go over all of the data points.

0:01:05.200 --> 0:01:07.520
<v Speaker 2>What are the key facets of this report?

0:01:08.800 --> 0:01:12.080
<v Speaker 3>Well, I think I said this earlier and it really

0:01:12.160 --> 0:01:14.240
<v Speaker 3>is the case that this was a status quo report.

0:01:14.240 --> 0:01:16.720
<v Speaker 3>It didn't move the ball much one way or another.

0:01:17.240 --> 0:01:20.560
<v Speaker 3>We saw inflation move up a little bit on a

0:01:20.600 --> 0:01:24.800
<v Speaker 3>headline basis, largely because of the energy. We saw the

0:01:24.800 --> 0:01:28.360
<v Speaker 3>core rate not go down very much, largely because of housing.

0:01:28.360 --> 0:01:31.320
<v Speaker 3>And these are stories that we have seen before. So

0:01:31.400 --> 0:01:33.760
<v Speaker 3>this isn't going to change the way the Fed is

0:01:33.800 --> 0:01:37.600
<v Speaker 3>looking at the overall economy and looking at the fight

0:01:37.640 --> 0:01:42.240
<v Speaker 3>against inflation. They can still pause in June, but it

0:01:42.319 --> 0:01:44.240
<v Speaker 3>won't be because of this report.

0:01:45.640 --> 0:01:50.040
<v Speaker 4>So we saw for the first time an inversion, or

0:01:50.080 --> 0:01:52.480
<v Speaker 4>the first time in many months, an inversion of the

0:01:52.520 --> 0:01:56.440
<v Speaker 4>headline figure which is now lower than the core figure.

0:01:56.560 --> 0:01:58.560
<v Speaker 5>Does that mean anything or does it just look cool

0:01:58.600 --> 0:01:59.040
<v Speaker 5>on a chart?

0:01:59.080 --> 0:01:59.280
<v Speaker 6>Mic?

0:02:01.080 --> 0:02:04.240
<v Speaker 3>It looks cool on the chart, Matt. The biggest thing

0:02:04.360 --> 0:02:06.800
<v Speaker 3>is that we're going to see core starting to come

0:02:06.880 --> 0:02:10.320
<v Speaker 3>down when the drop in rental prices over the past

0:02:10.360 --> 0:02:13.200
<v Speaker 3>year finally starts to show up in the data, which

0:02:13.240 --> 0:02:16.720
<v Speaker 3>should be in the next month or so. But the

0:02:16.720 --> 0:02:19.240
<v Speaker 3>core is the core for a reason. It is the

0:02:19.280 --> 0:02:24.840
<v Speaker 3>stickier parts of inflation, and the headline numbers largely influenced

0:02:24.840 --> 0:02:27.800
<v Speaker 3>by things like inflation and food, although food wasn't a

0:02:27.800 --> 0:02:32.680
<v Speaker 3>big factor this time, but energy and food energy prices

0:02:32.760 --> 0:02:35.160
<v Speaker 3>went up. They've started to go down again, so we'll

0:02:35.200 --> 0:02:37.040
<v Speaker 3>probably see it change next month.

0:02:37.120 --> 0:02:38.920
<v Speaker 2>All right, Danny, come on in on here. You've been

0:02:39.120 --> 0:02:41.560
<v Speaker 2>very clear on how you feel about what the Fed's

0:02:41.600 --> 0:02:43.880
<v Speaker 2>been doing here. But do you feel like inflation is

0:02:44.040 --> 0:02:46.440
<v Speaker 2>slowly it's certainly better than it was a year ago.

0:02:46.600 --> 0:02:48.359
<v Speaker 5>How did I feel, Danny? How do you feel about

0:02:48.400 --> 0:02:49.519
<v Speaker 5>what the Fed's been doing here?

0:02:50.160 --> 0:02:50.440
<v Speaker 6>Oh?

0:02:50.680 --> 0:02:53.240
<v Speaker 7>Well, I mean I think that the reality I mean,

0:02:53.280 --> 0:02:56.480
<v Speaker 7>Mike laid it out very well and very carefully. The

0:02:56.520 --> 0:03:00.840
<v Speaker 7>reality is that what's most astonishing is it everybody seems

0:03:00.840 --> 0:03:05.240
<v Speaker 7>to have such a kind of accepted view. Everybody seems

0:03:05.280 --> 0:03:08.440
<v Speaker 7>to think the same. All the central banks are saying

0:03:08.480 --> 0:03:11.560
<v Speaker 7>the same things. And the reality and we have unanimous votes,

0:03:11.960 --> 0:03:14.239
<v Speaker 7>and the reality is we just don't really know. There's

0:03:14.240 --> 0:03:18.520
<v Speaker 7>no fundamental theory here as to what's going on. What

0:03:18.560 --> 0:03:22.760
<v Speaker 7>we see is inflation starting to fall today. Basically what

0:03:22.800 --> 0:03:26.320
<v Speaker 7>you got was the base effects for this month stop working.

0:03:26.400 --> 0:03:28.079
<v Speaker 7>So you dropped a point four, and you got a

0:03:28.160 --> 0:03:31.080
<v Speaker 7>point four, and in the seasonally unadjusted you get a

0:03:31.200 --> 0:03:33.280
<v Speaker 7>drop in the seasonal adjustment, you get it to stick

0:03:33.280 --> 0:03:35.840
<v Speaker 7>at five. So the next two months we're going to

0:03:35.920 --> 0:03:40.000
<v Speaker 7>have big base effects dropping out. And I think in

0:03:40.040 --> 0:03:43.240
<v Speaker 7>a sense the discussion has to actually be so what

0:03:43.840 --> 0:03:47.400
<v Speaker 7>are the costs of inflation? I mean we all sort

0:03:47.400 --> 0:03:49.200
<v Speaker 7>of sit around and go, yeah, that's what the Fed's

0:03:49.200 --> 0:03:52.080
<v Speaker 7>got to do. Inflation is such a terrible thing. Well,

0:03:52.120 --> 0:03:55.400
<v Speaker 7>actually enumerate what a terrible thing it is. Yeah, I

0:03:55.480 --> 0:03:58.960
<v Speaker 7>know that inflation low as well being, and I've measured

0:03:58.960 --> 0:04:01.320
<v Speaker 7>a great deal of it. But the question is what

0:04:01.520 --> 0:04:04.200
<v Speaker 7>do you replace it with? And what are the costs

0:04:04.240 --> 0:04:08.040
<v Speaker 7>and the consequences of overly tightening. And the answer is

0:04:08.120 --> 0:04:11.400
<v Speaker 7>that a one percent rise in unemployment is between five

0:04:11.480 --> 0:04:15.120
<v Speaker 7>and ten times worse on ordinary people than a one

0:04:15.120 --> 0:04:18.960
<v Speaker 7>percentage point change in inflation. So essentially what we're going

0:04:19.000 --> 0:04:22.320
<v Speaker 7>to see is how much this how much The consequences

0:04:22.360 --> 0:04:26.240
<v Speaker 7>of what they're doing are much worse than the problem

0:04:26.320 --> 0:04:26.920
<v Speaker 7>of inflation.

0:04:27.279 --> 0:04:31.200
<v Speaker 2>So I don't think we can have maybe a recession though,

0:04:31.240 --> 0:04:35.440
<v Speaker 2>with a labor market that is still strong, well, I don't.

0:04:35.279 --> 0:04:37.720
<v Speaker 7>Even believe this thing about strong. I think it's kind

0:04:37.760 --> 0:04:40.080
<v Speaker 7>of nonsense. I mean, the reason it's The reason I

0:04:40.120 --> 0:04:44.039
<v Speaker 7>think it's nonsense is that the unemployment rate no longer

0:04:44.080 --> 0:04:47.120
<v Speaker 7>is a decent measure of anything. So I've worked on

0:04:47.160 --> 0:04:52.040
<v Speaker 7>this forever. The unemployment rate is uncorrelated with wage growth.

0:04:52.080 --> 0:04:55.520
<v Speaker 7>It's uncorrelated with it. The biggest macro problem you have

0:04:55.680 --> 0:04:58.600
<v Speaker 7>is to explain why wage growth was so flat between

0:04:58.640 --> 0:05:01.200
<v Speaker 7>twenty ten and two anyone unemployment was falling.

0:05:01.240 --> 0:05:03.360
<v Speaker 6>Answer, unemployment rate is irrelevant.

0:05:03.360 --> 0:05:06.600
<v Speaker 7>What you have here is lots of labor markets slacked

0:05:06.720 --> 0:05:10.800
<v Speaker 7>currently being indicated by the non employment rates and the

0:05:10.880 --> 0:05:15.000
<v Speaker 7>labor force and activity rates. That's what's determining wage growth

0:05:15.040 --> 0:05:18.039
<v Speaker 7>and keeping wage growth down. If you try and look

0:05:18.040 --> 0:05:20.880
<v Speaker 7>at every country in the world, every other country other

0:05:20.920 --> 0:05:25.040
<v Speaker 7>than the US, the Inact, the the EPOP, the employment

0:05:25.080 --> 0:05:28.599
<v Speaker 7>to population rate is at least equal to its rate

0:05:28.680 --> 0:05:31.080
<v Speaker 7>in two thousand, The UK is well above.

0:05:30.839 --> 0:05:32.359
<v Speaker 6>It, Greece is even comparable.

0:05:32.520 --> 0:05:34.840
<v Speaker 7>So the question you have to ask yourself up to

0:05:34.880 --> 0:05:36.560
<v Speaker 7>which I don't have a great answer, and we can

0:05:36.600 --> 0:05:39.400
<v Speaker 7>discuss it, is why is it true that the non

0:05:39.440 --> 0:05:41.800
<v Speaker 7>employment rate in the US suggests to get back to

0:05:41.839 --> 0:05:45.760
<v Speaker 7>two thousand levels, you need about seven million more people working.

0:05:46.160 --> 0:05:48.960
<v Speaker 7>So on that basis, I don't believe the unemployment rate

0:05:49.000 --> 0:05:51.560
<v Speaker 7>because nobody can show me anything that it's related to wages.

0:05:51.680 --> 0:05:55.080
<v Speaker 7>I have lots of papers on it. So and why

0:05:55.200 --> 0:05:57.479
<v Speaker 7>is the US so much different to everybody else? So

0:05:57.560 --> 0:05:59.680
<v Speaker 7>the argument you have to raise rates because the labor

0:05:59.680 --> 0:06:02.160
<v Speaker 7>market so tight, it's for the birds.

0:06:02.720 --> 0:06:06.240
<v Speaker 4>So what Let me ask you this because you know

0:06:06.520 --> 0:06:09.760
<v Speaker 4>in econ one oh one, I was mostly thinking about

0:06:09.800 --> 0:06:10.960
<v Speaker 4>Kegger's and the Grateful Dead.

0:06:11.000 --> 0:06:12.480
<v Speaker 5>But why is it that.

0:06:13.080 --> 0:06:15.320
<v Speaker 4>You know, the FED wants to use unemployment and a

0:06:15.400 --> 0:06:17.160
<v Speaker 4>recession to fight inflation?

0:06:17.440 --> 0:06:17.960
<v Speaker 5>Is what I get.

0:06:18.000 --> 0:06:20.040
<v Speaker 4>They're saying, we have to fight this inflation, and we're

0:06:20.040 --> 0:06:23.440
<v Speaker 4>gonna have to accept a recession and higher unemployment in

0:06:23.520 --> 0:06:26.240
<v Speaker 4>order to do that. And you say, a higher unemployment

0:06:27.800 --> 0:06:31.520
<v Speaker 4>is actually much worse than higher inflation, right? Why Why

0:06:31.640 --> 0:06:34.320
<v Speaker 4>is that? Because inflation affects all of us, right, and

0:06:34.440 --> 0:06:36.160
<v Speaker 4>unemployment only affects a very much.

0:06:36.240 --> 0:06:37.839
<v Speaker 6>So that's that's completely wrong.

0:06:37.920 --> 0:06:41.920
<v Speaker 2>Actually, Okay, obviously a lot of is still in his life.

0:06:41.920 --> 0:06:43.440
<v Speaker 2>I'm just gonna say to.

0:06:43.480 --> 0:06:45.960
<v Speaker 7>Charlie Evans, who told me when I showed him these estimates,

0:06:46.000 --> 0:06:48.120
<v Speaker 7>he said to me, Danny, this is great. Everyone told

0:06:48.120 --> 0:06:51.120
<v Speaker 7>me always what you've just said, that inflation hurts everybody.

0:06:51.200 --> 0:06:53.520
<v Speaker 7>It's like thirty times worse than un employment. So here's

0:06:53.560 --> 0:06:56.440
<v Speaker 7>the story. You go measure it. You ask people you'll

0:06:56.480 --> 0:06:59.120
<v Speaker 7>about your well being, and you say, so, how much

0:06:59.160 --> 0:07:02.400
<v Speaker 7>does inflation? So think about a one percentage point rise

0:07:02.440 --> 0:07:05.080
<v Speaker 7>in inflation against a one percentage point rise in unemployment.

0:07:05.160 --> 0:07:07.719
<v Speaker 7>Well you get a number for the inflation. What you

0:07:07.760 --> 0:07:11.360
<v Speaker 7>get in unemployment is well, one percent of people are unemployed.

0:07:11.400 --> 0:07:15.880
<v Speaker 7>So those people's unemployment rises a lot and they're really unhappy. Great,

0:07:15.960 --> 0:07:18.800
<v Speaker 7>but what happens is a one percentage point rise in

0:07:18.840 --> 0:07:22.800
<v Speaker 7>unemployment makes people much more unhappy than a one percentage

0:07:22.800 --> 0:07:26.040
<v Speaker 7>point rise in inflation. Now you can argue I don't

0:07:26.160 --> 0:07:28.160
<v Speaker 7>like this, but you could say this is the evidence.

0:07:28.360 --> 0:07:30.640
<v Speaker 7>This is the data. Nobody else has any other data.

0:07:31.040 --> 0:07:34.520
<v Speaker 7>Everything else about they worry about inflation and inflation expectation

0:07:34.800 --> 0:07:37.760
<v Speaker 7>is just dreamed up. Make stuff up. This is the data.

0:07:37.880 --> 0:07:41.080
<v Speaker 7>The data says a one percentage point rise in unemployment. Well,

0:07:41.080 --> 0:07:44.680
<v Speaker 7>there's a new paper by Robert McCulloch from New Zealand

0:07:44.920 --> 0:07:47.320
<v Speaker 7>just come out says that a one percent rise in

0:07:47.400 --> 0:07:51.440
<v Speaker 7>unemployment raises pain ten times more than a one percentage

0:07:51.440 --> 0:07:53.760
<v Speaker 7>point rise in inflation. I mean, the problem for anybody

0:07:53.800 --> 0:07:56.160
<v Speaker 7>who says that's wrong is they have no data. This

0:07:56.240 --> 0:07:59.040
<v Speaker 7>is the only data that exists, and it shows that

0:07:58.920 --> 0:08:03.520
<v Speaker 7>the impact of one of unemployment or joblessness is much worse.

0:08:03.560 --> 0:08:06.160
<v Speaker 7>So still waiting for people to tell me what are

0:08:06.160 --> 0:08:09.160
<v Speaker 7>the consequences of an inflation rate of five percent that

0:08:09.200 --> 0:08:15.040
<v Speaker 7>you're trying to get down by creating.

0:08:13.520 --> 0:08:15.520
<v Speaker 2>Might come on in or other economists.

0:08:16.640 --> 0:08:21.600
<v Speaker 3>Well, the obvious consequence is that people lose purchasing power

0:08:21.640 --> 0:08:24.920
<v Speaker 3>and their standard of living goes down. And we saw

0:08:24.960 --> 0:08:32.440
<v Speaker 3>that very specifically during the nineteen eighties great inflation, which

0:08:32.480 --> 0:08:34.439
<v Speaker 3>is what scared the pants off of all the central

0:08:34.480 --> 0:08:37.040
<v Speaker 3>bankers who are now trying to bring down inflation. But

0:08:37.080 --> 0:08:40.800
<v Speaker 3>I was truck Danny by what you were saying about wages.

0:08:41.600 --> 0:08:45.760
<v Speaker 3>Wages are still rising at a very high pace, especially

0:08:46.160 --> 0:08:49.960
<v Speaker 3>compared to what they were doing in the teens. We're

0:08:50.000 --> 0:08:56.079
<v Speaker 3>still well over four percent, and inflation is still running

0:08:56.160 --> 0:08:59.839
<v Speaker 3>above that level. So people are still losing grounds even

0:08:59.840 --> 0:09:02.480
<v Speaker 3>though they are getting raises.

0:09:02.720 --> 0:09:06.880
<v Speaker 2>At this point, Danny got about just about twenty seconds.

0:09:06.920 --> 0:09:09.480
<v Speaker 7>So unfortunately, well, real wage is a flat over the

0:09:09.559 --> 0:09:13.680
<v Speaker 7>last year, and obviously, for the level of the unemployment.

0:09:13.080 --> 0:09:15.839
<v Speaker 6>Rate, wage growth is actually still very compressed.

0:09:16.160 --> 0:09:18.080
<v Speaker 7>I mean, in the past, you had an unemployment rate

0:09:18.120 --> 0:09:20.319
<v Speaker 7>of three and a half, you'd be talking to wages

0:09:20.360 --> 0:09:21.160
<v Speaker 7>greater than that.

0:09:21.440 --> 0:09:22.760
<v Speaker 6>So the answer is that.

0:09:22.640 --> 0:09:26.920
<v Speaker 7>The unemployment rate is uncorrelated with wage growth. Just get

0:09:26.960 --> 0:09:30.120
<v Speaker 7>it into everyone's heads. It's completely uncorrelated with it. It

0:09:30.160 --> 0:09:33.720
<v Speaker 7>has no relationship with wage growth whatsoever. You can't run

0:09:33.760 --> 0:09:35.280
<v Speaker 7>it in any form of wage de grade to be

0:09:35.280 --> 0:09:37.600
<v Speaker 7>at Phillip's curve or anything else or a wagecurve.

0:09:37.800 --> 0:09:40.640
<v Speaker 6>The unemployment rate is uncorrelated with wage growth.

0:09:40.920 --> 0:09:42.640
<v Speaker 2>We gotta run that though.

0:09:42.679 --> 0:09:44.760
<v Speaker 4>I'm gonna tweet that because I think that's the most

0:09:44.840 --> 0:09:46.400
<v Speaker 4>fascinating thing that I've heard today.

0:09:46.440 --> 0:09:48.439
<v Speaker 2>All Right, we gotta say goodbye to Danny and two

0:09:48.480 --> 0:09:51.679
<v Speaker 2>of course, our Michael mcke Danny Blanchflower over at Dart method.

0:10:02.320 --> 0:10:02.640
<v Speaker 6>Sucks.

0:10:03.960 --> 0:10:06.040
<v Speaker 2>All right, everybody, Well. Shares of H and R Block

0:10:06.120 --> 0:10:10.400
<v Speaker 2>selling off today, hitting its lowest level in about a year.

0:10:10.720 --> 0:10:13.240
<v Speaker 2>This after the company cut its outlook for the year

0:10:13.240 --> 0:10:15.800
<v Speaker 2>after reporting lower earnings and revenue in its fiscal third quarter.

0:10:15.880 --> 0:10:18.000
<v Speaker 2>So let's get into the quarter. Let's get into the business.

0:10:18.000 --> 0:10:20.280
<v Speaker 2>This is a company that's been transforming itself over the

0:10:20.320 --> 0:10:22.679
<v Speaker 2>last couple of years. Back with us as Jeff Jones,

0:10:22.679 --> 0:10:24.679
<v Speaker 2>president and COO at H and R Block. We've mentioned

0:10:24.679 --> 0:10:28.559
<v Speaker 2>in the past his background chief marketing officer at Gap, Target,

0:10:28.600 --> 0:10:32.199
<v Speaker 2>president of ride sharing at Uber formerly. Jeff joining us

0:10:32.320 --> 0:10:35.040
<v Speaker 2>via zoom from Kansas City, Missouri. Jeff, good to have

0:10:35.120 --> 0:10:38.040
<v Speaker 2>you back here with myself and Matt Miller. Talk to

0:10:38.120 --> 0:10:40.600
<v Speaker 2>us about the quarter, the outlook. What's going on.

0:10:41.720 --> 0:10:43.880
<v Speaker 8>Yeah, Well, first of all, Carol, we definitely have not

0:10:44.000 --> 0:10:46.480
<v Speaker 8>hit our fifty two week low, so I want to

0:10:46.520 --> 0:10:50.880
<v Speaker 8>be clear about that. Listen, the season did not end

0:10:51.000 --> 0:10:55.040
<v Speaker 8>the way we expected it to. There were multiple industry

0:10:55.160 --> 0:10:58.960
<v Speaker 8>dynamics of play. Our assisted business was a little softer

0:10:59.040 --> 0:11:01.960
<v Speaker 8>than we wanted. But there are many many things that

0:11:02.040 --> 0:11:04.760
<v Speaker 8>went well this year, and I think that's what investors

0:11:04.760 --> 0:11:08.319
<v Speaker 8>are hearing. You know, we still expect to grow earnings

0:11:08.400 --> 0:11:13.080
<v Speaker 8>and EPs in a really tough backdrop. Our DIY strategy work,

0:11:13.200 --> 0:11:16.360
<v Speaker 8>we introduced AI, so you know, there are many things

0:11:16.360 --> 0:11:18.640
<v Speaker 8>that are working. But we were clear on the call

0:11:18.760 --> 0:11:22.680
<v Speaker 8>yesterday there were three reasons why our volume didn't deliver,

0:11:23.040 --> 0:11:24.760
<v Speaker 8>and we feel like we've got a really good handle

0:11:24.840 --> 0:11:25.080
<v Speaker 8>on that.

0:11:25.480 --> 0:11:27.880
<v Speaker 5>What do you think investors are getting wrong here?

0:11:27.920 --> 0:11:31.560
<v Speaker 4>Because I mean if it was a week later, you'd

0:11:31.600 --> 0:11:33.600
<v Speaker 4>be at your fifty two week low, right, I mean,

0:11:34.320 --> 0:11:38.440
<v Speaker 4>just because you had an incredible May in twenty twenty

0:11:38.440 --> 0:11:41.280
<v Speaker 4>two in terms of the stock. Why are investors not

0:11:41.360 --> 0:11:42.960
<v Speaker 4>understanding your optimistic view?

0:11:44.080 --> 0:11:46.920
<v Speaker 8>You know, I think like any like any company that

0:11:47.000 --> 0:11:50.560
<v Speaker 8>has an unusual mix of business and seasonality, it's just

0:11:50.600 --> 0:11:53.000
<v Speaker 8>hard to get your mind around that so much of

0:11:53.040 --> 0:11:56.280
<v Speaker 8>our business happens in one quarter, you know, I think for.

0:11:56.320 --> 0:11:58.800
<v Speaker 4>Some mill it's been that way for how many years

0:11:58.800 --> 0:12:00.359
<v Speaker 4>since like nineteen thirteen.

0:12:01.240 --> 0:12:03.440
<v Speaker 8>Well not quite that far. I mean, we have a

0:12:03.640 --> 0:12:07.040
<v Speaker 8>very very large and healthy tax business, and that's determined

0:12:07.080 --> 0:12:10.000
<v Speaker 8>by one time a year. So I think that you know,

0:12:10.040 --> 0:12:12.200
<v Speaker 8>when you look at our financials and you see us

0:12:12.640 --> 0:12:15.559
<v Speaker 8>lose money in most quarters of the year, but then

0:12:15.679 --> 0:12:18.640
<v Speaker 8>generate five or six hundred million of free cash flow,

0:12:19.200 --> 0:12:22.240
<v Speaker 8>I think the investors that take the time to really

0:12:22.320 --> 0:12:25.600
<v Speaker 8>understand the story take a great long term view on

0:12:25.679 --> 0:12:29.600
<v Speaker 8>how we allocate capital, our dividend, our share repurchase. And

0:12:29.640 --> 0:12:31.000
<v Speaker 8>it's a really good story.

0:12:31.120 --> 0:12:31.439
<v Speaker 9>All right.

0:12:31.520 --> 0:12:33.280
<v Speaker 2>And just to clarify, I'm just looking at some data

0:12:33.280 --> 0:12:35.560
<v Speaker 2>on the Bloomberg it does say you're at the lowest

0:12:35.640 --> 0:12:38.560
<v Speaker 2>level since about May twelfth of twenty twenty two.

0:12:38.679 --> 0:12:40.120
<v Speaker 4>Yeah, that's why I said it's a it was a

0:12:40.120 --> 0:12:42.160
<v Speaker 4>week later, it would be the fifty two week low.

0:12:42.400 --> 0:12:44.320
<v Speaker 5>You're eight or fifty one week low. Let's put it

0:12:44.320 --> 0:12:45.280
<v Speaker 5>that way, just.

0:12:45.559 --> 0:12:47.840
<v Speaker 8>To say we're not twenty we're not twenty five dollars.

0:12:48.360 --> 0:12:50.480
<v Speaker 2>Okay, fair enough, fair enough. You are the CEO, you know,

0:12:50.559 --> 0:12:53.880
<v Speaker 2>But I just wanted to clarify in terms of the data.

0:12:53.960 --> 0:12:57.640
<v Speaker 2>Having said that, you guys are going through a transformation.

0:12:57.840 --> 0:13:00.680
<v Speaker 2>And Jeff, when we last talked in terms of I

0:13:00.679 --> 0:13:02.640
<v Speaker 2>think it was back in August, we talked a little

0:13:02.640 --> 0:13:05.160
<v Speaker 2>bit about the impact of higher rates. Tell us about

0:13:05.200 --> 0:13:07.880
<v Speaker 2>the folks on your platform, whether it's individuals, whether it's

0:13:07.920 --> 0:13:11.040
<v Speaker 2>small business, in terms of the activity you are seeing,

0:13:11.120 --> 0:13:13.680
<v Speaker 2>What is it telling you about them and what it

0:13:13.679 --> 0:13:14.920
<v Speaker 2>tells you about the broader outlook.

0:13:16.000 --> 0:13:18.840
<v Speaker 8>Well, I think the biggest thing we see is really

0:13:18.920 --> 0:13:22.720
<v Speaker 8>the health of the consumer, especially you know, we saw

0:13:22.800 --> 0:13:25.520
<v Speaker 8>this year the tax industry got off to a really

0:13:25.600 --> 0:13:29.720
<v Speaker 8>fast start. People were looking for their money. We saw

0:13:29.880 --> 0:13:33.880
<v Speaker 8>these refund advance loans really perform well this year. In

0:13:33.920 --> 0:13:38.680
<v Speaker 8>the industry that speaks to the cash needs of the

0:13:38.720 --> 0:13:44.200
<v Speaker 8>American consumer. The problem is, for many many Americans this year,

0:13:44.720 --> 0:13:48.959
<v Speaker 8>refund sizes were down, you know, eight to nine percent,

0:13:49.720 --> 0:13:52.720
<v Speaker 8>and many people who are used to getting a refund

0:13:52.920 --> 0:13:57.200
<v Speaker 8>suddenly found themselves owing money. So those kind of things

0:13:57.240 --> 0:13:59.920
<v Speaker 8>are very confusing to the consumer. But we definitely see

0:14:00.160 --> 0:14:04.240
<v Speaker 8>consumer needing cash and looking for alternative ways to find it.

0:14:04.720 --> 0:14:09.400
<v Speaker 4>Why did a lot of filers see that change? Why

0:14:09.480 --> 0:14:12.240
<v Speaker 4>were a lot of filers owing money when they normally

0:14:12.280 --> 0:14:14.640
<v Speaker 4>get a refund because I would I think immediately of

0:14:14.679 --> 0:14:18.959
<v Speaker 4>the salt deduction cap, but that went into went into

0:14:19.000 --> 0:14:21.200
<v Speaker 4>play in like twenty seventeen, twenty eighteen.

0:14:21.320 --> 0:14:24.960
<v Speaker 8>Yeah, yeah, So you know, keep in mind, giving tax

0:14:25.000 --> 0:14:28.680
<v Speaker 8>advice is like asking Mayo clinic for you know, medical advice.

0:14:28.760 --> 0:14:31.280
<v Speaker 8>Like there's so many things that depend. But there are

0:14:31.280 --> 0:14:35.000
<v Speaker 8>two broad things that happened. The first is the roll

0:14:35.080 --> 0:14:40.840
<v Speaker 8>off of stimulus benefits. The second is the IRS made

0:14:40.840 --> 0:14:45.360
<v Speaker 8>a change to withholding tables, which essentially more people kept

0:14:45.400 --> 0:14:48.640
<v Speaker 8>money in their paycheck but didn't think about changing their

0:14:48.640 --> 0:14:52.640
<v Speaker 8>withholding and therefore, you know, had a surprise at the

0:14:52.720 --> 0:14:55.240
<v Speaker 8>end of the year. Those are the two main reasons.

0:14:55.040 --> 0:14:59.200
<v Speaker 4>Can I ask, and I'm sure you already have a plan.

0:15:00.120 --> 0:15:02.960
<v Speaker 4>What does how can AI help you at ation R Block.

0:15:04.720 --> 0:15:06.760
<v Speaker 8>Well, first of all, there are many things we're already

0:15:06.800 --> 0:15:10.720
<v Speaker 8>doing with AI. We use it in robotics, process automation

0:15:11.120 --> 0:15:15.680
<v Speaker 8>on remedial tasks. We use it to match labor and

0:15:15.760 --> 0:15:20.400
<v Speaker 8>supply and scheduling. This year, we introduced an industry first

0:15:20.440 --> 0:15:24.800
<v Speaker 8>in our DIY product, where if you switched from a competitor,

0:15:25.480 --> 0:15:30.440
<v Speaker 8>we automatically and proactively looked at last year's return to

0:15:30.520 --> 0:15:33.640
<v Speaker 8>identify any errors that may have been made, and if

0:15:33.640 --> 0:15:36.240
<v Speaker 8>we found one that was worth more than two hundred

0:15:36.240 --> 0:15:39.520
<v Speaker 8>and fifty dollars for you, we notified use you could

0:15:39.560 --> 0:15:42.520
<v Speaker 8>file an amendment. So there are a number of things

0:15:42.520 --> 0:15:45.720
<v Speaker 8>that we're already doing today. And you know, listen, we

0:15:45.840 --> 0:15:52.720
<v Speaker 8>have the same broad ethics, regulatory, legal, security, and privacy

0:15:52.760 --> 0:15:56.120
<v Speaker 8>concerns as I think many companies do. But in general,

0:15:56.200 --> 0:15:59.880
<v Speaker 8>we're excited about the potential for what this technology can

0:15:59.880 --> 0:16:02.880
<v Speaker 8>do come or customer service, et cetera.

0:16:03.040 --> 0:16:07.000
<v Speaker 4>I mean, can't can't AI make the tax code easier

0:16:07.640 --> 0:16:11.000
<v Speaker 4>for humans to deal with? I remember Donald Rumsfeld's famous

0:16:11.120 --> 0:16:12.680
<v Speaker 4>letter to the I R S where he was like,

0:16:12.840 --> 0:16:15.160
<v Speaker 4>I have no idea, and I have a college degree,

0:16:15.160 --> 0:16:16.840
<v Speaker 4>like my wife doesn't know either, So.

0:16:16.880 --> 0:16:17.400
<v Speaker 5>Here you go.

0:16:18.000 --> 0:16:22.280
<v Speaker 4>Can't can't this make make it easier for Americans to

0:16:22.320 --> 0:16:24.280
<v Speaker 4>file their taxes by themselves?

0:16:24.400 --> 0:16:26.120
<v Speaker 2>I mean basically talk to a bot and just do it.

0:16:26.240 --> 0:16:28.560
<v Speaker 4>Yeah, talk to an H and R AI bot and

0:16:28.600 --> 0:16:31.400
<v Speaker 4>they'll say, I fire your taxes and it's it's all done,

0:16:31.560 --> 0:16:31.760
<v Speaker 4>you know.

0:16:32.520 --> 0:16:32.720
<v Speaker 1>Yeah.

0:16:32.760 --> 0:16:35.000
<v Speaker 8>I mean, I think what obviously has to happen is

0:16:35.320 --> 0:16:38.520
<v Speaker 8>the you know whatever average means. The average American consumer

0:16:39.000 --> 0:16:41.600
<v Speaker 8>has to be willing to turn over all of their

0:16:41.640 --> 0:16:43.960
<v Speaker 8>most intimate financial data to the bot.

0:16:45.280 --> 0:16:48.080
<v Speaker 4>And for the average American consumer, that's like a W two.

0:16:48.280 --> 0:16:50.840
<v Speaker 4>Here you go, all done.

0:16:51.600 --> 0:16:53.960
<v Speaker 8>It's it's really not a W two. Think about the

0:16:54.000 --> 0:16:57.080
<v Speaker 8>Earned income tax credit, the child tax credit, the way

0:16:57.160 --> 0:17:00.760
<v Speaker 8>childcare happens. Are you a grandparent of paren and anna

0:17:00.800 --> 0:17:02.960
<v Speaker 8>or and uncle taking care of the child? I mean,

0:17:03.000 --> 0:17:05.480
<v Speaker 8>there's an enormous amount that goes into this for the

0:17:05.560 --> 0:17:09.840
<v Speaker 8>consumer every year, way beyond a W two. There's no

0:17:10.080 --> 0:17:14.880
<v Speaker 8>question this technology can help all of us provide better

0:17:14.960 --> 0:17:18.560
<v Speaker 8>tax planning and make things faster. We're already leaning into that,

0:17:19.119 --> 0:17:21.000
<v Speaker 8>but I think you know, the jury will be out

0:17:21.040 --> 0:17:24.520
<v Speaker 8>over many years on will people be comfortable turning over

0:17:24.880 --> 0:17:27.600
<v Speaker 8>essentially their financial DNA to the computer?

0:17:27.760 --> 0:17:29.280
<v Speaker 2>Well, and I guess I would argue, I know what

0:17:29.320 --> 0:17:31.560
<v Speaker 2>we share with our accountant, and they pretty much know

0:17:31.640 --> 0:17:34.800
<v Speaker 2>everything and anything when it comes to our finances, So

0:17:35.200 --> 0:17:39.119
<v Speaker 2>you essentially are handing it right now to affirm individuals

0:17:39.160 --> 0:17:41.320
<v Speaker 2>who put it into a database that you get.

0:17:41.400 --> 0:17:44.040
<v Speaker 5>My dad was never. My dad would be never. Okay,

0:17:44.080 --> 0:17:46.000
<v Speaker 5>he'll do his own taxes until he dies.

0:17:46.040 --> 0:17:48.600
<v Speaker 2>But we are so are many other people. So I

0:17:48.640 --> 0:17:51.760
<v Speaker 2>think it does sound like just kind of the normal progression. Hey,

0:17:51.760 --> 0:17:53.160
<v Speaker 2>one thing I want to go back to, Jeff, because

0:17:53.160 --> 0:17:54.879
<v Speaker 2>you do have a vantage point when it comes to

0:17:54.920 --> 0:17:58.360
<v Speaker 2>your platform. San Francisco FED coming out with their household

0:17:58.400 --> 0:18:01.639
<v Speaker 2>survey and they're saying that house is still strong in

0:18:01.720 --> 0:18:04.760
<v Speaker 2>terms of the money that they have on their individual

0:18:04.840 --> 0:18:07.320
<v Speaker 2>balance sheets despite how many years we are out from

0:18:07.320 --> 0:18:09.679
<v Speaker 2>the pandemic. Do you agree in terms of what you

0:18:09.720 --> 0:18:12.560
<v Speaker 2>are seeing or do you feel like things are getting

0:18:12.760 --> 0:18:14.119
<v Speaker 2>a little bit weaker and softer?

0:18:15.480 --> 0:18:17.760
<v Speaker 8>You know, what I can speak to, Carol is the

0:18:17.840 --> 0:18:20.800
<v Speaker 8>twenty million people that we serve and the last several

0:18:20.840 --> 0:18:24.880
<v Speaker 8>months of seeing how important it was they got their cash.

0:18:25.119 --> 0:18:28.320
<v Speaker 8>So does that mean they're excited to get it because

0:18:28.359 --> 0:18:30.760
<v Speaker 8>their flush and their bank accounts are full and their

0:18:30.760 --> 0:18:35.000
<v Speaker 8>credits their debt is low. Or does it mean you

0:18:35.040 --> 0:18:37.960
<v Speaker 8>know that money's already spent. And what we see with

0:18:38.280 --> 0:18:42.320
<v Speaker 8>the consumers we serve is that refund is already spent

0:18:43.680 --> 0:18:46.440
<v Speaker 8>and so you know, it's not go on a vacation.

0:18:46.640 --> 0:18:50.280
<v Speaker 8>So we still absolutely saw this year urgency to get

0:18:50.320 --> 0:18:53.240
<v Speaker 8>cash and just too many people being surprised by the

0:18:53.320 --> 0:18:55.760
<v Speaker 8>outcome for those two reasons I mentioned earlier.

0:18:55.880 --> 0:18:57.439
<v Speaker 2>Hey, I do want to go to since you do

0:18:57.600 --> 0:18:59.840
<v Speaker 2>know when your stock HiT's a fifty two week low

0:19:00.720 --> 0:19:02.440
<v Speaker 2>and I was looking at, you know, the moves today

0:19:02.440 --> 0:19:04.520
<v Speaker 2>it's down about four percent. It was down six percent

0:19:04.560 --> 0:19:07.400
<v Speaker 2>at its lows. What are investors saying to you, because

0:19:07.400 --> 0:19:09.159
<v Speaker 2>they obviously are disappointed.

0:19:10.840 --> 0:19:13.480
<v Speaker 8>Well, first of all, they're excited that we will still grow,

0:19:13.520 --> 0:19:17.679
<v Speaker 8>earnings will still grow, expect to grow EPs. We have

0:19:17.680 --> 0:19:21.440
<v Speaker 8>a really strong capital allocation program, and when you put

0:19:21.480 --> 0:19:25.199
<v Speaker 8>all that together, we deliver a really nice TSR. So

0:19:25.359 --> 0:19:28.119
<v Speaker 8>they definitely see that. I think what they want to

0:19:28.160 --> 0:19:31.560
<v Speaker 8>know is, you know, why did you lose volume this year?

0:19:32.480 --> 0:19:35.720
<v Speaker 8>And there are three answers, and we're really clear with this.

0:19:35.880 --> 0:19:39.960
<v Speaker 8>You know, we lost filers who make less than five

0:19:40.040 --> 0:19:43.399
<v Speaker 8>thousand dollars of income who were most likely in the

0:19:43.440 --> 0:19:47.439
<v Speaker 8>system because of stimulus. That represents about a third of

0:19:47.440 --> 0:19:52.399
<v Speaker 8>our client loss. The second is those EITC filers that

0:19:52.440 --> 0:19:57.280
<v Speaker 8>we're looking for refunds refund advances. And the third about

0:19:57.280 --> 0:20:00.199
<v Speaker 8>twenty percent of our client loss is just do to

0:20:00.240 --> 0:20:04.560
<v Speaker 8>the California extension timing. So I think the clarity about

0:20:04.600 --> 0:20:08.399
<v Speaker 8>why we lost volume this year is helped investors understand

0:20:08.440 --> 0:20:11.719
<v Speaker 8>that two of those three headwinds are behind us, and

0:20:11.760 --> 0:20:14.960
<v Speaker 8>we're still generating a tremendous amount of free cash flow

0:20:15.359 --> 0:20:17.639
<v Speaker 8>and deploying that very effectively.

0:20:17.280 --> 0:20:21.040
<v Speaker 2>Right, including buybacks, right and dividend correct, exactly. All right,

0:20:21.080 --> 0:20:22.800
<v Speaker 2>Gonna leave it on that note. He Jeff always fun

0:20:22.840 --> 0:20:24.840
<v Speaker 2>to check in with you, Jeff Jones. He's president and

0:20:24.920 --> 0:20:27.960
<v Speaker 2>CEO of H and R. Block stock is down about

0:20:27.960 --> 0:20:30.120
<v Speaker 2>fourteen percent so far. You talked about TSR. Of course,

0:20:30.160 --> 0:20:33.919
<v Speaker 2>total shareholder return joining us from Kansas City, Missouri. So

0:20:33.920 --> 0:20:35.280
<v Speaker 2>your dad doesn't handle anything over.

0:20:35.400 --> 0:20:38.439
<v Speaker 5>No, never would never. It's a little worrying.

0:20:38.480 --> 0:20:41.600
<v Speaker 2>Actually, all right, more to come on Bloomberg Business Week.

0:20:42.440 --> 0:20:46.000
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:20:46.040 --> 0:20:49.399
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:20:49.440 --> 0:20:52.280
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the.

0:20:52.240 --> 0:21:04.000
<v Speaker 10>Bloomberg Business app, or watch us live on YouTube.

0:21:06.320 --> 0:21:10.639
<v Speaker 2>All right, you are listening and watching Bloomberg BusinessWeek. Matt

0:21:10.640 --> 0:21:13.560
<v Speaker 2>Miller and Carol Masser, We're gonna, just like our TV colleagues,

0:21:13.600 --> 0:21:16.240
<v Speaker 2>stay with Disney because the stock is down about two

0:21:16.240 --> 0:21:18.680
<v Speaker 2>and a half percent in the after market. So let's

0:21:18.680 --> 0:21:21.640
<v Speaker 2>get to it with Jamie Lumley, senior analyst at Third

0:21:21.680 --> 0:21:25.040
<v Speaker 2>Bridge Group. They provide global research to PE firms, hedgephones

0:21:25.040 --> 0:21:27.720
<v Speaker 2>and consultants. On the phone in New York City, Paul Sweeney,

0:21:27.760 --> 0:21:30.040
<v Speaker 2>co host of Bloomberg Surveillance and Bloomberg Markets with us

0:21:30.080 --> 0:21:34.480
<v Speaker 2>on the phone. My man from New Jersey. He is Paul.

0:21:34.520 --> 0:21:37.400
<v Speaker 2>Let's start with you. What jumps out for you at Disney.

0:21:38.080 --> 0:21:39.960
<v Speaker 11>The first number I went to, the first one nightem

0:21:39.960 --> 0:21:43.160
<v Speaker 11>I went to, was the streaming losses. Now, the good

0:21:43.200 --> 0:21:45.840
<v Speaker 11>news is the losses of six hundred and fifty nine

0:21:45.880 --> 0:21:49.119
<v Speaker 11>million dollars came in less than the estimates, which is

0:21:49.119 --> 0:21:51.600
<v Speaker 11>about eight hundred and fifty million dollars. So that's good news.

0:21:51.640 --> 0:21:53.040
<v Speaker 12>The bad news is six.

0:21:52.880 --> 0:21:55.320
<v Speaker 11>Hundred and fifty nine million dollars is still a huge

0:21:55.440 --> 0:21:58.680
<v Speaker 11>loss just for one quarter. So I think on the call,

0:21:58.760 --> 0:22:01.280
<v Speaker 11>investors will want to get us sent from management, you know,

0:22:01.359 --> 0:22:03.439
<v Speaker 11>where do they see that glide path for that business

0:22:03.520 --> 0:22:05.040
<v Speaker 11>as it tries to get to break even?

0:22:06.080 --> 0:22:10.240
<v Speaker 4>All right, so it looks better than expected. I wonder why,

0:22:10.400 --> 0:22:13.240
<v Speaker 4>at least, you know, on the headlines. I wonder why

0:22:14.080 --> 0:22:17.720
<v Speaker 4>we're seeing the drop then in the stock after hours. Jamie,

0:22:17.720 --> 0:22:19.760
<v Speaker 4>I guess you could never really tell, you know, why

0:22:19.960 --> 0:22:21.600
<v Speaker 4>investors are buying and selling.

0:22:21.359 --> 0:22:24.560
<v Speaker 5>Across global Wall Street. But what do you take out

0:22:24.560 --> 0:22:28.480
<v Speaker 5>of this that could be bearish?

0:22:28.560 --> 0:22:30.200
<v Speaker 12>Well, I think there are definitely a couple of interesting

0:22:30.200 --> 0:22:32.840
<v Speaker 12>things to look at for revenue, you know, certainly I

0:22:32.920 --> 0:22:35.560
<v Speaker 12>also first looked to see what the line item was

0:22:35.640 --> 0:22:37.520
<v Speaker 12>for the loss of in streaming, as that as one

0:22:37.560 --> 0:22:39.560
<v Speaker 12>of the big stories over the past couple of quarters,

0:22:39.760 --> 0:22:42.200
<v Speaker 12>and trimming those losses is definitely one of those things

0:22:42.200 --> 0:22:44.639
<v Speaker 12>which Bob Iger is putting at the top of this

0:22:44.760 --> 0:22:47.240
<v Speaker 12>to do list. And certainly I think there is some

0:22:47.359 --> 0:22:49.880
<v Speaker 12>encouragement to be found and that those losses are being trimmed.

0:22:49.920 --> 0:22:52.400
<v Speaker 12>But again, it is a large amount of money which

0:22:52.440 --> 0:22:55.640
<v Speaker 12>is losing and also coming off the backs of Brothers

0:22:55.680 --> 0:22:58.639
<v Speaker 12>Discovery last week reporting that their streaming business is starting

0:22:58.640 --> 0:23:01.320
<v Speaker 12>to turn around a profit. I think there's ongoing pressure

0:23:01.359 --> 0:23:04.679
<v Speaker 12>to see some slightly more positive results in that segment. However,

0:23:04.720 --> 0:23:06.520
<v Speaker 12>you know, other things to look at as well, as

0:23:06.600 --> 0:23:10.000
<v Speaker 12>overall revenue seems to be delivering some strong growth. Looking

0:23:10.080 --> 0:23:13.040
<v Speaker 12>at thirteen percent overall top line revenue growth from the

0:23:13.080 --> 0:23:15.640
<v Speaker 12>year ago period. There are definitely a lot of factors

0:23:15.680 --> 0:23:17.800
<v Speaker 12>and I think that as we look at the call

0:23:17.880 --> 0:23:20.160
<v Speaker 12>layer this afternoon, there will be a number of areas

0:23:20.160 --> 0:23:22.119
<v Speaker 12>where it'll lead just interesting to see how management is

0:23:22.119 --> 0:23:24.680
<v Speaker 12>interpreting these results and looking at what are the top

0:23:24.720 --> 0:23:26.040
<v Speaker 12>priorities that they want to discuss.

0:23:26.280 --> 0:23:27.640
<v Speaker 2>Yeah, you know, I got to say when I look

0:23:27.680 --> 0:23:30.880
<v Speaker 2>at you know, streaming, it's still such a smaller business

0:23:30.880 --> 0:23:33.080
<v Speaker 2>when it comes to what goes on a Disney Paul,

0:23:33.200 --> 0:23:35.439
<v Speaker 2>But is it right for Disney? I mean, they have

0:23:35.480 --> 0:23:38.880
<v Speaker 2>such incredible content, I feel like, and they are really

0:23:38.920 --> 0:23:41.919
<v Speaker 2>good at usually leveraging across parks and movies and so

0:23:42.040 --> 0:23:46.200
<v Speaker 2>on in merchandise. Can they figure out how to make

0:23:46.240 --> 0:23:48.600
<v Speaker 2>this be a lot more productive when it comes to

0:23:48.600 --> 0:23:49.639
<v Speaker 2>top and bottom lines?

0:23:50.320 --> 0:23:52.439
<v Speaker 11>I think they can, because as you mentioned, they have

0:23:52.520 --> 0:23:56.840
<v Speaker 11>such great programming across their film studios and television studios

0:23:56.840 --> 0:23:59.399
<v Speaker 11>and it's got arguably the best content on the planet.

0:23:59.720 --> 0:24:02.280
<v Speaker 11>They like everybody else, has to, you know, make that

0:24:02.320 --> 0:24:06.200
<v Speaker 11>migration from the traditional pay TV model to the streaming model,

0:24:06.600 --> 0:24:09.399
<v Speaker 11>and that is a very expensive transition and the payoff

0:24:09.440 --> 0:24:11.760
<v Speaker 11>at the other side is a little bit unknown at

0:24:11.760 --> 0:24:13.760
<v Speaker 11>this point. So if you're an investor in Disney or

0:24:13.760 --> 0:24:16.120
<v Speaker 11>some of these other big knee companies, you're really making

0:24:16.160 --> 0:24:19.800
<v Speaker 11>a bet on management to execute here. So again that's

0:24:19.800 --> 0:24:22.400
<v Speaker 11>why these conference calls in these meetings with investors are key,

0:24:22.480 --> 0:24:26.440
<v Speaker 11>because boy, we see the programming costs really really high,

0:24:26.480 --> 0:24:28.440
<v Speaker 11>and you kint to really make a stretch to see

0:24:28.440 --> 0:24:30.760
<v Speaker 11>when this same term is profitable. And that's why Bob

0:24:30.800 --> 0:24:33.080
<v Speaker 11>Iger really has been focusing on the cost side of

0:24:33.080 --> 0:24:34.360
<v Speaker 11>the business as well as the top one.

0:24:34.400 --> 0:24:37.240
<v Speaker 2>And to be fair, he gutted, you know, a lot

0:24:37.280 --> 0:24:40.800
<v Speaker 2>of the folks that were behind Disney Plus initially, so

0:24:40.840 --> 0:24:42.879
<v Speaker 2>we know he is remaking it in terms of the manager.

0:24:42.920 --> 0:24:44.760
<v Speaker 5>Wait, Disney Plus, that's the streaming service.

0:24:44.920 --> 0:24:47.280
<v Speaker 4>So I guess I watched that a lot, but only

0:24:48.640 --> 0:24:51.679
<v Speaker 4>only like three films we watch in Conto Mulwana and

0:24:51.720 --> 0:24:53.520
<v Speaker 4>Frozen well Frozen one and two.

0:24:53.960 --> 0:24:55.640
<v Speaker 5>Jamie, what about ESPN?

0:24:55.720 --> 0:24:59.160
<v Speaker 4>This is something that stop, this is marvel Come on

0:24:59.320 --> 0:25:03.960
<v Speaker 4>mag now, Jamie. What what do we think about ESPN?

0:25:04.040 --> 0:25:06.040
<v Speaker 4>Paul and I talk about this all the time, and

0:25:06.240 --> 0:25:09.560
<v Speaker 4>it feels like they could do a heck of a

0:25:09.600 --> 0:25:13.480
<v Speaker 4>better job at monetizing that incredible content and they just

0:25:13.600 --> 0:25:15.040
<v Speaker 4>leave so much money on the table.

0:25:16.640 --> 0:25:18.800
<v Speaker 12>You know, It's definitely an interesting question, and looking at

0:25:19.000 --> 0:25:21.560
<v Speaker 12>ESPN and ESPM plus it has definitely been one of

0:25:21.600 --> 0:25:24.000
<v Speaker 12>those hot bun issues over the last year or so,

0:25:24.520 --> 0:25:27.240
<v Speaker 12>and looking at as you highlighted the value content there,

0:25:27.359 --> 0:25:29.159
<v Speaker 12>one of the big questions of course around you are

0:25:29.200 --> 0:25:32.800
<v Speaker 12>broad cost looking at sports rights and renegotiation there, but

0:25:32.840 --> 0:25:35.159
<v Speaker 12>then also just the best way to monetize that of

0:25:35.200 --> 0:25:39.000
<v Speaker 12>course across the traditional linear channels as well as the

0:25:39.000 --> 0:25:42.240
<v Speaker 12>streaming side of things. It is definitely far smaller than

0:25:42.720 --> 0:25:45.680
<v Speaker 12>Disney's other streaming offerings, and there are some questions about

0:25:45.720 --> 0:25:49.439
<v Speaker 12>overall as streaming in general continues to see a rise

0:25:49.800 --> 0:25:53.040
<v Speaker 12>in live sports across a riet different platforms, looking to

0:25:53.200 --> 0:25:56.480
<v Speaker 12>have that view one of their you know, areas of focus,

0:25:56.720 --> 0:25:59.080
<v Speaker 12>what exactly Disney will be doing for ESPN Plus and

0:25:59.320 --> 0:26:02.280
<v Speaker 12>ESPN is a big question. Earlier this year, of course,

0:26:02.280 --> 0:26:04.879
<v Speaker 12>we heard the Bob Eiger is not really entertaining at

0:26:04.880 --> 0:26:07.399
<v Speaker 12>this point any thoughts about divesting that part of the

0:26:07.560 --> 0:26:10.560
<v Speaker 12>part of the business. But exactly what the plan is

0:26:10.560 --> 0:26:12.639
<v Speaker 12>is one of those things which our experts continue to

0:26:12.640 --> 0:26:14.359
<v Speaker 12>say there is an uncertainty around.

0:26:14.440 --> 0:26:17.160
<v Speaker 4>I just mean because you know, a lot of people

0:26:17.200 --> 0:26:21.720
<v Speaker 4>don't have cable anymore, but the best content that ESPN

0:26:21.800 --> 0:26:24.720
<v Speaker 4>has is only available on cable. So suckers like me

0:26:25.320 --> 0:26:28.359
<v Speaker 4>that by the ESPN Plus service realize later that we

0:26:28.400 --> 0:26:32.480
<v Speaker 4>can only watch like Duke's JV field hockey team, you know,

0:26:32.960 --> 0:26:33.479
<v Speaker 4>no offense.

0:26:33.480 --> 0:26:35.880
<v Speaker 5>Paul, All right, Jamie, what can they do about that?

0:26:37.440 --> 0:26:39.600
<v Speaker 12>It's a really good question. And I think that one

0:26:39.600 --> 0:26:41.639
<v Speaker 12>of the things that we've certainly heard is also just

0:26:41.680 --> 0:26:45.159
<v Speaker 12>in general nature of the challenges of sports streaming in general,

0:26:45.280 --> 0:26:48.000
<v Speaker 12>because of the seasonality of it, you have just a

0:26:48.040 --> 0:26:51.320
<v Speaker 12>lot of challenges the overall fundamental business model of getting

0:26:51.320 --> 0:26:55.720
<v Speaker 12>sustainable subscribers and not having people hop on for when

0:26:55.720 --> 0:26:58.720
<v Speaker 12>their team is playing and then immediately leave once the

0:26:58.720 --> 0:27:01.840
<v Speaker 12>season is over and marsh badness is no longer upon us.

0:27:02.119 --> 0:27:05.840
<v Speaker 12>So for that kind of model. Right, We're still trying

0:27:05.840 --> 0:27:07.360
<v Speaker 12>to figure out exactly what to do here.

0:27:07.560 --> 0:27:09.679
<v Speaker 2>Yeah, I'm just reading from the press release decrease a

0:27:09.720 --> 0:27:12.000
<v Speaker 2>cable due to higher sports programming and production costs and

0:27:12.000 --> 0:27:15.280
<v Speaker 2>to a lesser extent, lower affiliate and ad revenue. All right, folks,

0:27:15.359 --> 0:27:17.760
<v Speaker 2>just got about forty seconds, twenty seconds. First to you, Paul,

0:27:17.800 --> 0:27:19.280
<v Speaker 2>what would you be asking on the call?

0:27:20.760 --> 0:27:23.399
<v Speaker 11>Just the streaming business? Give me the updated path of

0:27:23.440 --> 0:27:24.480
<v Speaker 11>profitability for streaming?

0:27:24.560 --> 0:27:24.840
<v Speaker 2>All right?

0:27:24.880 --> 0:27:28.160
<v Speaker 12>How about for you, Jamie, I'm still curious to hear

0:27:28.240 --> 0:27:29.960
<v Speaker 12>what's happening with Hulu. I think that's one of the

0:27:30.000 --> 0:27:31.720
<v Speaker 12>big question marks coming off of the back of the

0:27:31.840 --> 0:27:34.639
<v Speaker 12>leadership transition, another of those areas with a lot of uncertainty.

0:27:34.720 --> 0:27:37.120
<v Speaker 12>So also how that factors in this streaming is another

0:27:37.160 --> 0:27:38.240
<v Speaker 12>big area.

0:27:38.640 --> 0:27:41.640
<v Speaker 2>Hulu subscribers forty eight point two million, That is more

0:27:41.680 --> 0:27:45.080
<v Speaker 2>than ESPN plus, and that is certainly let.

0:27:45.040 --> 0:27:46.600
<v Speaker 5>Me think I get them all in a bundle.

0:27:46.800 --> 0:27:49.639
<v Speaker 4>I have Disney, Hulu, ESPN all in a bundle, so

0:27:49.960 --> 0:27:52.560
<v Speaker 4>I would think that's the same with most people.

0:27:53.040 --> 0:27:54.800
<v Speaker 2>Yeah. Now I'm just looking at you know what do

0:27:54.880 --> 0:27:57.880
<v Speaker 2>they do though? Right? Because it's just like another channel. Gentlemen,

0:27:57.920 --> 0:28:00.399
<v Speaker 2>Thank you so much. Jamie Lumley, senior analysts on the

0:28:00.400 --> 0:28:02.840
<v Speaker 2>phone in New York City over at Third Bridge Group,

0:28:02.840 --> 0:28:05.440
<v Speaker 2>and Paul Sweeney, of course, co host of Bloomberg Surveillance

0:28:05.440 --> 0:28:09.000
<v Speaker 2>and Bloomberg Markets and really our go to internally. When

0:28:09.000 --> 0:28:10.960
<v Speaker 2>it comes to media, Disney shares Matt are down two

0:28:10.960 --> 0:28:14.240
<v Speaker 2>point two percent, Marvel, you know nothing. Have you not

0:28:14.320 --> 0:28:15.480
<v Speaker 2>seen any of them?

0:28:15.640 --> 0:28:17.640
<v Speaker 5>I'm not into superheroes or comic books.

0:28:19.160 --> 0:28:23.520
<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

0:28:23.680 --> 0:28:27.280
<v Speaker 1>editors who bring you America's most trusted business magazine, plus

0:28:27.359 --> 0:28:31.240
<v Speaker 1>gloom Wall Business finance and tech news. The Bloomberg Business

0:28:31.240 --> 0:28:36.400
<v Speaker 1>Week podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

0:28:38.880 --> 0:28:42.560
<v Speaker 2>You've got a lot when it comes to artificial intelligence

0:28:42.640 --> 0:28:45.480
<v Speaker 2>and certainly the next level AI. We heard Pellant here

0:28:45.840 --> 0:28:48.320
<v Speaker 2>earlier in the week, the CEO saying in terms of

0:28:48.640 --> 0:28:50.840
<v Speaker 2>their strategy, they've said they're just going to take the

0:28:50.840 --> 0:28:53.800
<v Speaker 2>whole market. We just talked about with Ed Ludlow about

0:28:54.080 --> 0:28:55.040
<v Speaker 2>Alphabet and Google.

0:28:55.040 --> 0:28:56.520
<v Speaker 5>IBM's brought Watson back.

0:28:57.320 --> 0:28:58.760
<v Speaker 2>IBM has brought Watson back.

0:28:58.800 --> 0:29:00.719
<v Speaker 5>I mean to no fair fanfare at all.

0:29:00.840 --> 0:29:02.480
<v Speaker 2>Hey, I's been around for a long time. W's just

0:29:02.520 --> 0:29:05.479
<v Speaker 2>getting a lot smarter and we can actually talk to

0:29:05.520 --> 0:29:07.840
<v Speaker 2>it if you will, or talk with it. So let's

0:29:07.840 --> 0:29:11.760
<v Speaker 2>get another take on AI with us is Favorite Shaithe

0:29:11.840 --> 0:29:14.520
<v Speaker 2>He is co founder and CEO at the conversational messaging

0:29:14.560 --> 0:29:17.720
<v Speaker 2>platform for commerce, marketing and support there called gup shop,

0:29:17.960 --> 0:29:20.880
<v Speaker 2>and he's here in our Bloomberg Interactive Broker's studio. Erty,

0:29:20.920 --> 0:29:23.320
<v Speaker 2>good to have you here with Matt and myself. Tell

0:29:23.400 --> 0:29:25.560
<v Speaker 2>us a little bit. You guys are all in on AI.

0:29:25.720 --> 0:29:28.680
<v Speaker 2>What specifically is it just about? When we call a

0:29:28.720 --> 0:29:32.800
<v Speaker 2>company you can be behind it in terms of your platform.

0:29:33.040 --> 0:29:35.280
<v Speaker 9>Yeah, first, lead Carol, Matt, thanks for having me here.

0:29:35.640 --> 0:29:39.600
<v Speaker 9>That's exactly right right helping businesses and brands build these

0:29:39.640 --> 0:29:43.800
<v Speaker 9>conversational experiences or chatbots through which they can engage with customers.

0:29:44.160 --> 0:29:47.160
<v Speaker 9>So for a consumer, the consumer experiences that chatting with

0:29:47.200 --> 0:29:49.200
<v Speaker 9>the business is just as easy as chatting with a

0:29:49.240 --> 0:29:51.760
<v Speaker 9>friend or family member. You ask them questions and through

0:29:51.800 --> 0:29:57.640
<v Speaker 9>those conversations you can get deals offered, shopping payments, customer support,

0:29:57.760 --> 0:29:59.640
<v Speaker 9>troubleshooting and so on like so.

0:30:00.120 --> 0:30:06.760
<v Speaker 4>Or well, I have used some chatbots recently with a

0:30:06.760 --> 0:30:10.240
<v Speaker 4>couple of your clients. For example, Verizon and the experience

0:30:10.280 --> 0:30:14.000
<v Speaker 4>I had was nothing like a conversation. In fact, I

0:30:14.040 --> 0:30:16.400
<v Speaker 4>thought it might have been the dumbest piece of technology

0:30:17.000 --> 0:30:17.480
<v Speaker 4>that I've.

0:30:17.360 --> 0:30:18.440
<v Speaker 5>Ever interacted with.

0:30:18.600 --> 0:30:21.440
<v Speaker 4>Now, I was also angry at the time, to be

0:30:21.520 --> 0:30:24.440
<v Speaker 4>fair about Verizon nothing to do with the chatbot. But

0:30:25.520 --> 0:30:27.880
<v Speaker 4>are you saying that your technology is able to do

0:30:27.920 --> 0:30:30.360
<v Speaker 4>that stuff now or that you know, five to ten

0:30:30.480 --> 0:30:33.239
<v Speaker 4>years down the road they should be able to do that.

0:30:33.720 --> 0:30:36.160
<v Speaker 9>No, I think it's more like six or twelve months now, right.

0:30:36.240 --> 0:30:38.920
<v Speaker 9>What's changed, Okay, what's fundamentally changed a few months ago

0:30:39.080 --> 0:30:41.480
<v Speaker 9>is that these large language models got It was a

0:30:41.560 --> 0:30:44.960
<v Speaker 9>huge step function in capability, meaning it just dramatic improvement,

0:30:45.560 --> 0:30:48.600
<v Speaker 9>and all of those are now trickling into these experiences.

0:30:48.680 --> 0:30:51.560
<v Speaker 9>So it's it. It takes a little bit of time,

0:30:51.600 --> 0:30:53.320
<v Speaker 9>but in the next few it's a matter of months

0:30:53.360 --> 0:30:55.800
<v Speaker 9>because the hard part is done. It just has to

0:30:55.880 --> 0:30:58.840
<v Speaker 9>be integrated. But the fact that they can handle these

0:30:58.880 --> 0:31:03.600
<v Speaker 9>conversations in a natural way, understand, interpret, sense what the

0:31:03.680 --> 0:31:07.000
<v Speaker 9>query is, and then provide good responses, etc. It takes

0:31:07.080 --> 0:31:09.600
<v Speaker 9>a little bit of work to optimize it For a

0:31:09.640 --> 0:31:10.920
<v Speaker 9>particular enterprise.

0:31:10.600 --> 0:31:11.880
<v Speaker 2>It's a big jump. What was it all of a

0:31:11.960 --> 0:31:14.560
<v Speaker 2>sudden because AI, as we've said, right, this has been around.

0:31:14.560 --> 0:31:16.560
<v Speaker 2>But what happened? What was the big jump in particular?

0:31:16.640 --> 0:31:18.800
<v Speaker 9>Yeah, now that's a great question. See AI. I mean

0:31:18.880 --> 0:31:21.440
<v Speaker 9>I did my graduate research twenty thirty years ago in

0:31:21.480 --> 0:31:23.960
<v Speaker 9>AI and it's been going around for seventy eighty years, right,

0:31:24.360 --> 0:31:27.080
<v Speaker 9>AA has been making constant progress out of the limelight.

0:31:27.160 --> 0:31:30.360
<v Speaker 9>I think what happened literally over the last six months

0:31:30.480 --> 0:31:33.920
<v Speaker 9>was it reached a point and basically three things came together, right.

0:31:34.000 --> 0:31:37.280
<v Speaker 9>One is on the software algorithm side, there was ideas

0:31:37.280 --> 0:31:40.720
<v Speaker 9>around deep learning and the transformer, which was amazing. The

0:31:40.760 --> 0:31:43.479
<v Speaker 9>other is More's law, right, hardware getting better and faster.

0:31:43.840 --> 0:31:46.240
<v Speaker 9>And then the third is data right, Internet data. The

0:31:46.360 --> 0:31:49.920
<v Speaker 9>volume of data available for training has become available. So

0:31:49.960 --> 0:31:53.520
<v Speaker 9>these three things together, and then I guess its just

0:31:53.560 --> 0:31:56.560
<v Speaker 9>a numeric thing which is at a certain number of parameters. Right,

0:31:56.600 --> 0:31:59.520
<v Speaker 9>at one hundred million, it wasn't good. But at one

0:31:59.560 --> 0:32:01.920
<v Speaker 9>hundred billion parameters, suddenly it.

0:32:01.920 --> 0:32:05.160
<v Speaker 2>Understands legging point where all this came actually really productive.

0:32:05.280 --> 0:32:07.360
<v Speaker 9>So from a media standpoint, it looks like it went

0:32:07.400 --> 0:32:11.360
<v Speaker 9>from nothing to something. But you know, AI research has

0:32:11.400 --> 0:32:13.080
<v Speaker 9>been going on making steady progress.

0:32:13.200 --> 0:32:14.120
<v Speaker 5>But I mean.

0:32:15.480 --> 0:32:18.840
<v Speaker 4>When I talk to a chat bot online at any

0:32:18.880 --> 0:32:21.680
<v Speaker 4>of these big companies, or if I get a computer

0:32:22.040 --> 0:32:26.040
<v Speaker 4>on the on the hotline, it's just a horribly frustrating experience.

0:32:26.080 --> 0:32:29.240
<v Speaker 4>And your business is very impressive a cup shop. You

0:32:29.320 --> 0:32:32.920
<v Speaker 4>have a ton of clients, you have marquee investors.

0:32:33.400 --> 0:32:34.920
<v Speaker 5>You know, you have a huge.

0:32:35.000 --> 0:32:37.800
<v Speaker 4>One point four billion dollar valuation. So I have a

0:32:37.800 --> 0:32:40.480
<v Speaker 4>lot of respect for that. But I have to guess

0:32:40.520 --> 0:32:43.760
<v Speaker 4>when you talk to people who interact with chatbots, they're.

0:32:43.480 --> 0:32:45.000
<v Speaker 5>All as frustrated as I am.

0:32:45.080 --> 0:32:48.520
<v Speaker 4>Because I'm finding myself saying, agent, agent, agent, get me

0:32:48.560 --> 0:32:51.880
<v Speaker 4>to a human because I can't get anything done with

0:32:52.080 --> 0:32:55.320
<v Speaker 4>the I hate to call it AI because there's nothing

0:32:55.320 --> 0:32:57.200
<v Speaker 4>intelligent about the current services.

0:32:57.640 --> 0:33:00.560
<v Speaker 9>So I'll answer there are two aspects to it.

0:33:00.640 --> 0:33:00.760
<v Speaker 2>Right.

0:33:00.800 --> 0:33:03.000
<v Speaker 9>Once is if we just step away from the US

0:33:03.120 --> 0:33:05.280
<v Speaker 9>for a for a second in the rest of the world,

0:33:05.320 --> 0:33:07.760
<v Speaker 9>where you don't have as many customer support agents, as

0:33:07.760 --> 0:33:11.280
<v Speaker 9>many businesses investing in these things for consumers, if the

0:33:11.360 --> 0:33:13.880
<v Speaker 9>baseline is zero, A chat pot that works half the

0:33:13.960 --> 0:33:16.400
<v Speaker 9>time is a miracle, right, because it solves a lot

0:33:16.440 --> 0:33:18.120
<v Speaker 9>of problems. You don't have to wait on hold, you

0:33:18.120 --> 0:33:20.040
<v Speaker 9>don't have to wait in long queues, and so on.

0:33:20.520 --> 0:33:22.880
<v Speaker 9>So there's a lot of people around the world.

0:33:22.800 --> 0:33:25.520
<v Speaker 4>If your problem is solved, but if your problem isn't solved,

0:33:25.520 --> 0:33:27.760
<v Speaker 4>then there's another two or three minutes that you've wasted

0:33:27.800 --> 0:33:29.320
<v Speaker 4>talking to What you're saying.

0:33:29.120 --> 0:33:30.880
<v Speaker 2>Is this is what we're finding. The more information that

0:33:30.920 --> 0:33:33.360
<v Speaker 2>goes into it, it's going to get better. Christos Fair,

0:33:33.720 --> 0:33:35.080
<v Speaker 2>we've all been in that point where we're.

0:33:35.800 --> 0:33:38.920
<v Speaker 4>So you're saying it's going to improve something.

0:33:38.920 --> 0:33:41.600
<v Speaker 9>But now now we are on the cusp of it. Okay,

0:33:41.640 --> 0:33:44.440
<v Speaker 9>because of what open ai and there's just one example,

0:33:44.440 --> 0:33:46.320
<v Speaker 9>but there are many other models, you know, Meta and

0:33:46.360 --> 0:33:49.800
<v Speaker 9>Google and even the open source community is just driving it.

0:33:49.840 --> 0:33:52.360
<v Speaker 9>So it's solve the hard part of understanding language, which

0:33:52.400 --> 0:33:55.000
<v Speaker 9>is the hardest thing. The second bit is packaging it

0:33:55.080 --> 0:33:58.600
<v Speaker 9>into specific business conversations. That's remaining, but that's now like

0:33:58.680 --> 0:34:01.120
<v Speaker 9>weeks or months away doing that for a whole bunch

0:34:01.120 --> 0:34:03.280
<v Speaker 9>of enterprises, you know, and you kind of have to

0:34:03.360 --> 0:34:07.560
<v Speaker 9>handcraft the integration a little bit. But we are even

0:34:07.560 --> 0:34:08.319
<v Speaker 9>productizing that.

0:34:08.840 --> 0:34:11.920
<v Speaker 2>How do you protect the accuracy and the purity of

0:34:11.960 --> 0:34:14.439
<v Speaker 2>the information. So it's not a case of we're doing

0:34:14.440 --> 0:34:17.000
<v Speaker 2>something that we're googling, you know, later on and we're

0:34:17.000 --> 0:34:18.360
<v Speaker 2>trying to do our own research, and.

0:34:18.440 --> 0:34:21.880
<v Speaker 9>That's that's exactly what takes time. Right. These general language

0:34:21.880 --> 0:34:25.600
<v Speaker 9>models are simple word prediction, meaning they just make up

0:34:25.600 --> 0:34:28.440
<v Speaker 9>their generative right, so they kind of make up an answer.

0:34:28.680 --> 0:34:31.240
<v Speaker 9>It may not be accurate, but in a business context,

0:34:31.280 --> 0:34:34.040
<v Speaker 9>you need accurate information, so we do. There's a process

0:34:34.080 --> 0:34:37.640
<v Speaker 9>called fine tuning, there's something called prompt engineering, and then

0:34:38.080 --> 0:34:41.040
<v Speaker 9>you also link it to plugins which give you the

0:34:41.080 --> 0:34:44.440
<v Speaker 9>actual data. Right, So for example, what's the interest rate

0:34:44.440 --> 0:34:46.160
<v Speaker 9>on a checking account? I mean, you can't make up

0:34:46.200 --> 0:34:49.880
<v Speaker 9>an answer, even though AI will, so there it looks

0:34:49.960 --> 0:34:52.840
<v Speaker 9>up the right answer from the right place, or it's we're.

0:34:52.680 --> 0:34:55.080
<v Speaker 2>Going to know is users that it's the right answer.

0:34:55.200 --> 0:34:57.840
<v Speaker 9>Well, so the business, the business has the responsibility and

0:34:57.880 --> 0:35:00.160
<v Speaker 9>the owners to make sure because they also have the

0:35:00.160 --> 0:35:03.080
<v Speaker 9>liability for what the bot says. Right, So so I

0:35:03.080 --> 0:35:05.520
<v Speaker 9>think they are. This is exactly where we work with

0:35:05.560 --> 0:35:09.200
<v Speaker 9>them to make sure that the conversations are precise, that accurate,

0:35:09.320 --> 0:35:12.400
<v Speaker 9>the information works and so on, and then there's a

0:35:12.440 --> 0:35:13.680
<v Speaker 9>lot of debugging and so on.

0:35:13.760 --> 0:35:13.840
<v Speaker 13>Right.

0:35:13.920 --> 0:35:17.520
<v Speaker 9>It was Look, the web wasn't built overnight, and neither

0:35:17.560 --> 0:35:20.640
<v Speaker 9>will these chat bots. But I think as they get

0:35:20.719 --> 0:35:23.319
<v Speaker 9>optimized and refined. I think it'll be It'll be good

0:35:23.440 --> 0:35:24.120
<v Speaker 9>enough for you, Matt.

0:35:24.280 --> 0:35:27.120
<v Speaker 5>I'm excited. I'm looking forward to the future. I'm just

0:35:27.160 --> 0:35:28.360
<v Speaker 5>saying you have a little.

0:35:28.080 --> 0:35:29.319
<v Speaker 6>Time, a little bit hurt.

0:35:30.560 --> 0:35:33.120
<v Speaker 2>She's going to learn her language. It takes some time.

0:35:33.239 --> 0:35:33.600
<v Speaker 10>Exactly.

0:35:33.600 --> 0:35:35.800
<v Speaker 2>How busy are you? Just ten seconds? Are people calling

0:35:35.800 --> 0:35:37.359
<v Speaker 2>you off the phone or just give me an idea?

0:35:37.480 --> 0:35:39.800
<v Speaker 9>Yeah, this is accelerating. I mean, we are doubling business

0:35:39.840 --> 0:35:41.879
<v Speaker 9>year over year, and it's accelerating even more.

0:35:42.040 --> 0:35:44.200
<v Speaker 2>All Right, well, come on back so we can, you know,

0:35:44.520 --> 0:35:49.759
<v Speaker 2>make Matt happy. That's the future. Chat GBT experiences will

0:35:49.800 --> 0:35:50.879
<v Speaker 2>be better, even better.

0:35:50.920 --> 0:35:52.800
<v Speaker 9>The next time I'm here. You'll talk to my chatbot.

0:35:53.239 --> 0:35:55.640
<v Speaker 5>All right, he'll do the interviews for you.

0:35:55.880 --> 0:35:56.759
<v Speaker 2>All right, we get a Right.

0:35:58.040 --> 0:36:01.600
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:36:01.640 --> 0:36:05.640
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:36:05.840 --> 0:36:09.120
<v Speaker 1>the Bloomberg Business app and YouTube. You can also listen

0:36:09.239 --> 0:36:12.319
<v Speaker 1>live on Amazon Alexa from our flagship New York station.

0:36:12.800 --> 0:36:18.080
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty a b.

0:36:18.920 --> 0:36:22.040
<v Speaker 6>Mark a journal.

0:36:23.080 --> 0:36:25.080
<v Speaker 4>Now about you, let me drive? Oh no, no, no, no,

0:36:25.320 --> 0:36:30.399
<v Speaker 4>Plea's going to drive alright, please, I'll do the travels lease.

0:36:30.440 --> 0:36:31.600
<v Speaker 2>Wait, I want to drive.

0:36:33.880 --> 0:36:35.920
<v Speaker 11>It's good question to try.

0:36:38.560 --> 0:36:42.080
<v Speaker 7>This, please the drive to the Clothes dot comteck, we'll

0:36:42.120 --> 0:36:42.880
<v Speaker 7>buy around.

0:36:42.640 --> 0:36:44.960
<v Speaker 6>To tether down on Bloomberg Radio.

0:36:45.160 --> 0:36:48.160
<v Speaker 2>All right, everybody, under eighteen minutes left in today's trading session.

0:36:48.160 --> 0:36:50.000
<v Speaker 2>We got a two year note as we hear from Charlie,

0:36:50.040 --> 0:36:52.840
<v Speaker 2>still down around three point nine percent. But more importantly,

0:36:52.960 --> 0:36:54.920
<v Speaker 2>well it's not necessarily more importantly, but we do have

0:36:56.040 --> 0:36:58.600
<v Speaker 2>some buying as we get towards the last twenty minutes

0:36:58.640 --> 0:37:01.560
<v Speaker 2>of trading here point two percent higher on the Nasdaq.

0:37:01.600 --> 0:37:05.080
<v Speaker 2>We're off. Definitely are loads of the session at our

0:37:05.160 --> 0:37:08.719
<v Speaker 2>highs when it comes to the Nasdaq trade. So yeah,

0:37:08.800 --> 0:37:10.239
<v Speaker 2>that's what's going on. So let's get to it with

0:37:10.280 --> 0:37:11.120
<v Speaker 2>our Drive to the closed.

0:37:11.160 --> 0:37:11.359
<v Speaker 13>Guest.

0:37:11.640 --> 0:37:14.239
<v Speaker 2>Alan Lance is back with us research director at Lance

0:37:14.239 --> 0:37:18.319
<v Speaker 2>Global dot com, joining us on the phone from Toledo, Ohio. Alan,

0:37:18.440 --> 0:37:21.640
<v Speaker 2>nice to have you here with Matt and myself. So

0:37:21.920 --> 0:37:23.920
<v Speaker 2>it is an interesting day. I've been calling it kind

0:37:23.920 --> 0:37:26.440
<v Speaker 2>of a meth week of trading because it feels like

0:37:26.480 --> 0:37:30.680
<v Speaker 2>we're looking for direction. What's your take on where you

0:37:30.760 --> 0:37:33.040
<v Speaker 2>can find opportunities in this market environment?

0:37:34.880 --> 0:37:38.080
<v Speaker 13>Well, I think Carol, it's a situation where you know,

0:37:38.239 --> 0:37:40.800
<v Speaker 13>the market has been presenting opportunities in the beginning of

0:37:40.840 --> 0:37:43.800
<v Speaker 13>the year with the megacaps, you know, after the megacap

0:37:43.920 --> 0:37:47.480
<v Speaker 13>tech stocks were down so much, you know, over the

0:37:47.560 --> 0:37:50.800
<v Speaker 13>past few weeks, you know, you had companies like acam

0:37:51.000 --> 0:37:54.480
<v Speaker 13>Technology and Google that really are in good spaces that

0:37:54.600 --> 0:38:00.800
<v Speaker 13>we like, like cybersecurity and AI, and they really had underperformed.

0:38:00.840 --> 0:38:03.680
<v Speaker 13>And today both of them are up, and I think

0:38:04.280 --> 0:38:08.200
<v Speaker 13>investors are realizing or Wall Street's realizing that that, you know,

0:38:08.360 --> 0:38:12.200
<v Speaker 13>most companies are going to have a significant take as

0:38:12.239 --> 0:38:16.000
<v Speaker 13>far as in cybersecurity for Akamai and AI obviously for Google.

0:38:16.080 --> 0:38:17.960
<v Speaker 13>So I think that's where you've really got to get

0:38:18.000 --> 0:38:21.200
<v Speaker 13>to avoid the torpedo areas, you know, like the small

0:38:21.400 --> 0:38:26.439
<v Speaker 13>banks and the regionals, and you know, capitalize on these

0:38:26.560 --> 0:38:32.279
<v Speaker 13>areas now that might not have performed yet are in

0:38:32.840 --> 0:38:36.560
<v Speaker 13>good long term areas that can can do well. And

0:38:36.640 --> 0:38:38.120
<v Speaker 13>I think that's the type of market we're going to

0:38:38.160 --> 0:38:41.680
<v Speaker 13>have winners or and losers, and the divergence is going

0:38:41.760 --> 0:38:42.480
<v Speaker 13>to be pronounced.

0:38:42.920 --> 0:38:45.719
<v Speaker 4>Are you worried at all about dropping stocks if we

0:38:45.760 --> 0:38:48.279
<v Speaker 4>don't have an agreement on the debt ceiling? I look

0:38:48.320 --> 0:38:51.080
<v Speaker 4>at the you know, before TARP we had stocks drop

0:38:51.160 --> 0:38:54.080
<v Speaker 4>eight percent, and before well in twenty eleven, when the

0:38:54.160 --> 0:38:57.440
<v Speaker 4>debt on our debt rating was downgraded, we have docks

0:38:57.480 --> 0:39:00.440
<v Speaker 4>drop twenty percent. So you know, that can bring us

0:39:00.480 --> 0:39:02.719
<v Speaker 4>down to thirty seven hundred, or it could bring us

0:39:02.719 --> 0:39:03.880
<v Speaker 4>down to thirty three hundred.

0:39:04.840 --> 0:39:06.360
<v Speaker 13>Yeah, I think, Matt, we're in the higher end of

0:39:06.360 --> 0:39:08.160
<v Speaker 13>the range, so it would be a little bit more

0:39:08.320 --> 0:39:13.080
<v Speaker 13>selective now. And obviously if something as dramatic as twenty

0:39:13.200 --> 0:39:16.120
<v Speaker 13>eleven occurs, I would utilize that as a as a

0:39:16.200 --> 0:39:19.960
<v Speaker 13>buying opportunity, but you know, selectively, so we're not real

0:39:20.080 --> 0:39:21.799
<v Speaker 13>concerned with it. But we are in the higher end

0:39:21.880 --> 0:39:24.200
<v Speaker 13>of the range, so it would be you know, just

0:39:24.719 --> 0:39:28.719
<v Speaker 13>a matter of a risk profile to not stretch and

0:39:29.120 --> 0:39:31.479
<v Speaker 13>chase things here because of you know what you said

0:39:31.520 --> 0:39:35.600
<v Speaker 13>and an other geopolitical and you know, interest rates, et cetera.

0:39:35.680 --> 0:39:38.719
<v Speaker 13>I mean, there's there's a lot of headwinds and there's

0:39:38.760 --> 0:39:41.319
<v Speaker 13>no really reason that chase stock, especially some of these

0:39:41.360 --> 0:39:42.359
<v Speaker 13>areas have done so well.

0:39:42.600 --> 0:39:48.359
<v Speaker 2>But how much of this the worries are already factored in, Well,

0:39:48.440 --> 0:39:48.719
<v Speaker 2>some of.

0:39:48.800 --> 0:39:52.360
<v Speaker 13>It, you know, it's already factored in, Carol, But but

0:39:52.920 --> 0:39:55.239
<v Speaker 13>you know, I think it really depends on the area.

0:39:55.280 --> 0:39:57.480
<v Speaker 13>I mean, like the energy has gone down quite a bit.

0:39:57.640 --> 0:40:00.359
<v Speaker 13>So so if you think that, you know, we're going

0:40:00.400 --> 0:40:02.279
<v Speaker 13>into recession, you know that that might be a good

0:40:02.320 --> 0:40:03.640
<v Speaker 13>area with China opening up.

0:40:03.800 --> 0:40:06.120
<v Speaker 2>Is that economic slowdown or is that also this shift

0:40:06.160 --> 0:40:09.160
<v Speaker 2>away from fossil fuels. I know it's it's a slow shift,

0:40:09.280 --> 0:40:09.960
<v Speaker 2>but it's happening.

0:40:11.360 --> 0:40:14.879
<v Speaker 13>Yeah, I think it's more of the economic slow down

0:40:14.920 --> 0:40:18.759
<v Speaker 13>and a switch, you know, from the standpoint of just

0:40:18.880 --> 0:40:21.239
<v Speaker 13>the sentiment and what have you. So I think that

0:40:21.480 --> 0:40:23.880
<v Speaker 13>that's gonna hurt, you know, and that's why you have

0:40:23.960 --> 0:40:26.640
<v Speaker 13>some of the utilities that have outperformed that are in

0:40:27.000 --> 0:40:31.400
<v Speaker 13>in the alternative space. Well you know, some of these

0:40:31.440 --> 0:40:34.640
<v Speaker 13>others have have have dramatically underperformed. So again it goes

0:40:34.719 --> 0:40:37.319
<v Speaker 13>back to the winner and loser, you know, categories more

0:40:37.360 --> 0:40:38.960
<v Speaker 13>so than the specific sector.

0:40:39.840 --> 0:40:43.239
<v Speaker 4>Do you think the bank turmoil is behind us? You know,

0:40:43.800 --> 0:40:45.759
<v Speaker 4>a couple of times we've thought that and then we

0:40:45.840 --> 0:40:46.879
<v Speaker 4>saw another bank fail.

0:40:46.960 --> 0:40:48.080
<v Speaker 5>But it does seem like.

0:40:50.640 --> 0:40:52.360
<v Speaker 4>It does seem like Wall Street is pretty sure that

0:40:52.440 --> 0:40:54.359
<v Speaker 4>all the banks right now have enough asset to pay

0:40:54.360 --> 0:40:55.319
<v Speaker 4>out depositors if.

0:40:55.200 --> 0:40:55.640
<v Speaker 12>They need to.

0:40:56.600 --> 0:40:58.279
<v Speaker 13>Yeah, I think the worst is behind us. Matt. I

0:40:58.360 --> 0:41:00.919
<v Speaker 13>think it's it's a matter you know, if something else,

0:41:01.120 --> 0:41:03.960
<v Speaker 13>you know rose, and again the area that's going to

0:41:04.000 --> 0:41:06.240
<v Speaker 13>get hit or the areas you want to avoid anyway.

0:41:06.719 --> 0:41:09.640
<v Speaker 13>But actually, you know, a JP Morgan is going to

0:41:09.680 --> 0:41:11.520
<v Speaker 13>be stronger, and that's why you want to be in

0:41:11.600 --> 0:41:14.000
<v Speaker 13>a JP Morgan or a Goldman Sachs, you know. And

0:41:15.040 --> 0:41:18.640
<v Speaker 13>if if we're wrong and and things escalate and and

0:41:18.840 --> 0:41:21.399
<v Speaker 13>and get worse. But I think the majority of it's

0:41:21.480 --> 0:41:23.440
<v Speaker 13>behind us, and and it's just going to be a

0:41:23.680 --> 0:41:25.719
<v Speaker 13>one off type event, you know, from here on in.

0:41:25.840 --> 0:41:28.560
<v Speaker 13>I don't I don't see it really becoming a contagion,

0:41:28.880 --> 0:41:32.360
<v Speaker 13>you know, or anything disastrous. Uh, you know, especially in

0:41:32.440 --> 0:41:32.799
<v Speaker 13>the US.

0:41:33.120 --> 0:41:35.200
<v Speaker 2>Hey listen, you know one of the things that you've

0:41:35.360 --> 0:41:37.880
<v Speaker 2>liked in the past, Uh is in you know, the

0:41:37.960 --> 0:41:40.640
<v Speaker 2>travel and hospitality space. And I'm thinking about Airbnb, which

0:41:40.680 --> 0:41:44.520
<v Speaker 2>is getting hammered today. Uh is that an opportunity or

0:41:44.760 --> 0:41:47.240
<v Speaker 2>have you guys suggested people be out of it ahead

0:41:47.280 --> 0:41:48.920
<v Speaker 2>of this earnings? Where are you on that?

0:41:50.560 --> 0:41:53.480
<v Speaker 13>Yeah, we we liked airbnb in the eighties and and

0:41:53.840 --> 0:41:56.839
<v Speaker 13>you know, obviously the stock rose you know quite a bit.

0:41:57.040 --> 0:42:00.320
<v Speaker 13>So Uh, if if it's all back. If it falls

0:42:00.360 --> 0:42:02.680
<v Speaker 13>back a few more days like today, and we'd be

0:42:02.760 --> 0:42:06.160
<v Speaker 13>back than buying it. It's a long term you know,

0:42:06.360 --> 0:42:09.919
<v Speaker 13>hold you know, at these levels. But again it shows

0:42:09.960 --> 0:42:12.560
<v Speaker 13>the importance of taking profits. We took some profits and

0:42:13.000 --> 0:42:15.400
<v Speaker 13>Treehouse Foods something we talked about a year ago and

0:42:15.719 --> 0:42:18.319
<v Speaker 13>went from the thirties to the fifties, and we think,

0:42:18.440 --> 0:42:21.040
<v Speaker 13>you know, it could be taken over, but we're probably

0:42:21.040 --> 0:42:23.000
<v Speaker 13>looking at a sixty dollars price and it's not you know,

0:42:23.120 --> 0:42:26.520
<v Speaker 13>worth it in the mid fifties anymore to hold on. So, yeah,

0:42:26.719 --> 0:42:29.279
<v Speaker 13>that's a good point. I think as the market sees

0:42:29.360 --> 0:42:32.279
<v Speaker 13>this volativity and winners and losers, you know, to take

0:42:32.360 --> 0:42:34.680
<v Speaker 13>some profits, at least martial profits on some of these winners.

0:42:35.320 --> 0:42:38.080
<v Speaker 4>What do you think about Apple coming to the market

0:42:38.160 --> 0:42:39.919
<v Speaker 4>for bonds when they already have one hundred and seventy

0:42:39.960 --> 0:42:43.759
<v Speaker 4>billion dollars in cash. You know, they only offer a

0:42:44.160 --> 0:42:45.960
<v Speaker 4>zero point five percent.

0:42:45.800 --> 0:42:47.879
<v Speaker 5>Dividend yield, which is good.

0:42:48.000 --> 0:42:50.360
<v Speaker 4>I don't have to you know, I know they do

0:42:50.480 --> 0:42:53.479
<v Speaker 4>big buybacks, you know, seventy eighty maybe one hundred billion

0:42:53.520 --> 0:42:56.680
<v Speaker 4>dollars this year, But how do you feel.

0:42:56.480 --> 0:42:57.160
<v Speaker 5>As a shareholder?

0:42:58.760 --> 0:43:02.200
<v Speaker 13>Yeah, you know, the company's great. You know, I feel

0:43:02.239 --> 0:43:05.080
<v Speaker 13>real comfortable with it. We're not buying it at as level.

0:43:05.160 --> 0:43:08.520
<v Speaker 13>I mean, you know, our average cost is is far lower.

0:43:08.640 --> 0:43:12.040
<v Speaker 13>But you know, we did buy you know, Alphabet when

0:43:12.080 --> 0:43:15.200
<v Speaker 13>it went down, and we did actually buy some Amazon,

0:43:15.320 --> 0:43:17.120
<v Speaker 13>so some of the mega caps we did buy it

0:43:17.320 --> 0:43:22.520
<v Speaker 13>at the end of last year, but not Apple. Apples

0:43:22.560 --> 0:43:25.000
<v Speaker 13>really held up pretty well and never got into buying

0:43:25.080 --> 0:43:26.440
<v Speaker 13>territory unfortunately for us.

0:43:26.600 --> 0:43:26.839
<v Speaker 8>Alan.

0:43:26.960 --> 0:43:29.040
<v Speaker 2>I'm just curious because you've got Disney reporting after the

0:43:29.080 --> 0:43:31.440
<v Speaker 2>close and just kind of springing this on you just

0:43:31.480 --> 0:43:33.560
<v Speaker 2>got about thirty seconds left. Here is Disney a name

0:43:33.600 --> 0:43:34.359
<v Speaker 2>that's on your radar.

0:43:36.239 --> 0:43:38.840
<v Speaker 13>If it continued to weaken, we'd look at it, but

0:43:38.920 --> 0:43:41.160
<v Speaker 13>it's not one of our favorites. I think there's a

0:43:41.239 --> 0:43:44.160
<v Speaker 13>lot of other areas. I think streaming, you know, those

0:43:44.239 --> 0:43:49.000
<v Speaker 13>type of stocks you have to be worrisome, and I

0:43:49.120 --> 0:43:52.400
<v Speaker 13>never really understood that concept from unbundling, and now you

0:43:52.480 --> 0:43:54.960
<v Speaker 13>get all these different streaming services. So I'd be a

0:43:55.000 --> 0:43:57.240
<v Speaker 13>little bit cautious. But again, you know, it's a weekend

0:43:57.360 --> 0:44:00.600
<v Speaker 13>enough to get into a high quality company that it

0:44:00.680 --> 0:44:01.280
<v Speaker 13>would be fine.

0:44:03.400 --> 0:44:05.000
<v Speaker 2>All right, Well, fun to check in with. You really

0:44:05.040 --> 0:44:08.080
<v Speaker 2>appreciate it. Alan Lance, director of research at Lanceglobal dot Com.

0:44:08.760 --> 0:44:12.000
<v Speaker 2>President Vallan B. Lanson associates on the phone from Toledo, Ohio.

0:44:13.280 --> 0:44:17.880
<v Speaker 1>This is the Bloomberg Business Week podcast, available on Apple, Spotify,

0:44:18.080 --> 0:44:21.760
<v Speaker 1>and anywhere else you get your podcasts. Listen live weekday

0:44:21.800 --> 0:44:25.239
<v Speaker 1>afternoons from three to six Easterning on Bloomberg dot com,

0:44:25.480 --> 0:44:28.759
<v Speaker 1>the iHeartRadio app, tune In, and the Bloomberg Business App.

0:44:28.840 --> 0:44:31.760
<v Speaker 1>You can also watch us live every weekday on YouTube

0:44:32.040 --> 0:44:34.000
<v Speaker 1>and always on the Bloomberg Jurminal