Complete Intelligence

Categories
Visual (Videos)

Futures Edge Ep 55 : The AI Episode with Tony Nash

This “Futures Edge Ep 55 : The AI Episode with Tony Nash” video discussion is originally published on https://youtu.be/ugFUvz_DYEY

Transcript

Jim

Welcome to the Future Edge podcast. I’m Jim Iuorio, always the assistant to nobody, executive producer, brains behind the operation, and co-host Bob. Today we have our friend, Tony Nash, the founder of the AI firm Complete Intelligence, who also has a kick-ass podcast called The Week Ahead, on which I was fortunate enough to be a guest and really enjoyed the conversation. You generally host it with Tracy and Albert, correct?

Tony

Yeah, quite a lot. We do it with Tracy and Albert about two-thirds of the time. Thank you for that, by the way. I really appreciate it, Jim.

Jim

Oh, no, I loved it. First of all, let’s get the nonsense out of the way. What’s your favorite drink?

Tony

Oh, coffee.

Jim

No, you don’t drink?

Bob

Not what he meant.

Tony

No, coffee. Coffee is it. I write about coffee, post about coffee, and coffee is my favorite drink.

Bob

Well, you are a fucking nerd dude, by the way.

Jim

Coffee. I think if I had to quit either coffee or booze, I think booze would be harder, but I think coffee would be damn close. I think coffee is something that I rely on.

Bob

Coffee would be much harder for me.

Jim

Yeah. How many cups of coffee do you drink a day, Tony?

Tony

Only four.

Jim

Okay, I drink about four cups a day too. I was about to ask you what your favorite show that you have watched recently was. Have you guys seen the show Shrinking with Harrison Ford and Jason Siegel?

Tony

No.

Jim

That’s your assignment for the week. It’s pretty damn funny. Harrison Ford in a comedic role was really interesting, and he killed it, I thought.

Bob

Can I throw something out here before Tony tells us his favorite show? Is it a cliche that I love Sylvester Stallone and Tulsa King? Is that a cliche?

Jim

Yeah, it’s a dago cliche.

Bob

I’m stereotyping myself, right? Is that what I’m doing?

Jim

No doubt about it.

Bob

The mobster now in Tulsa, Oklahoma. I’m down here in Southwest Florida, pretty.

Jim

Tony, before you answer the question, speaking of mobsters, you should read the Bill O’Reilly book, Killing the Mob, particularly if you’re from Chicago. It was amazing. Did you read it, Tony?

Tony

No, I did not. But it sounds great. We should read it.

Bob

Shut up and let him answer questions.

Tony

Staying on The Mob, the best show that I’ve seen over the past year. It was on Paramount Plus, and it’s about the making of The Godfather. I can’t remember the…

Bob

Offer. It’s called The Offer.

Tony

The Offer. Yeah. It was fantastic. Really?

Jim

I want to watch that. Particularly because they talk in Bill O’Reilly’s book, they talk a lot about Sidney Korsak, who was basically the biggest guy in the Mob. He was in LA and he was the Mob accountant for all the outfits. So he was the fixer, they call them. And he’s the one who hired David Evans, who made the Godfather. Right. The Mafia hated it at first, and then they loved it after it was made, which is so funny, and started adopting some of the traditions that were brought back from the movie The Godfather.

Tony

They talked through some of that in this movie about how they negotiated with the mob to allow the movie to be made. It was really well done, actually, if…

Bob

You guys want to read something good called Family Secrets. Okay, Jimmy, since you’re a restaurateur and you’re both very familiar with the Chicagoland area, you will recognize 90% of the restaurants and places that they mentioned in that book because it’s all about the Chicago outfit and the Calabrese brothers and the Kid and all that. It’s fantastic.

Jim

What was the name of the mob joint in Norwich or Norwood Park? It was an Italian restaurant that was all like my buddy who worked for the state’s attorney, they had files on these mob guys and they had like, hangouts and there was all it was the same restaurant. I used to go there occasionally. You guys don’t remember the name of it?

Bob

Talking about Capri or Sicily Restaurant?

Jim

Neither of those sound familiar. If you said it, I’d know it. But it was so funny because now there’s a place in Arlington Heights now which I think is a bunch of mob wannabes. It’s like a bunch of 80-year-olds, maybe they were back in time. But it’s a pretty funny place called Palm Court. We go there, and they have like a guy singing Lou Rawls and Dean Martin and a bunch of old Dagos dancing. It’s fantastic. Okay, let’s get to Tony. By the way, remember Tony’s here we have his brain, his knowledge, and we could talk about mob stuff the whole time. So we had a series of numbers over the last week that are beginning to suggest some level of stagflation. My opinion is that until strength in the labor market is obviously not part of stagflation, is it too early to start worrying about it? Tony, what are your thoughts?

Tony

I think it is. I think you saw some really strong quarterly reports this past week. I think banking is not as bad as people had feared. There’s some strength in tech. You see some of the services company restaurants and even some of the consumer goods companies that are still reporting price hikes. So the price hikes would be inflation. But there is a very small slowdown in their volume, right? And so they’re still growing the top line. And so it’s not as if people can’t buy because they can’t afford it. You’re also seeing service wages, especially in the middle of the country, still be very strong. And so people in the middle of the country are making more money and they’re spending it, right?

And what’s also happening is you saw, I think, eight or 9% rise in Social Security earlier this year. And so you have a bunch of old people, they’re not saving the money, right? They got a 9% pay rise and they’re going out and spending it. So we do have more money coming in. I don’t necessarily see that we’re kind of entering a recession. I do think that we’re going to have a slower Q Two and a slower Q Three. Our forecast indicate that we’ll see kind of a 0.2.3 growth rate in those quarters, and then we’ll take back up in Q Four. So we have a lot of economists talk about, well, we’re going to have a recession in the back half. I don’t think it’s the back half. I think it’s the middle part of the year that we should really worry about. And when we get to the last quarter, I think we’re going to be in much better shape. Okay.

Jim

Now, the stock market seems to be relatively buoyant. I point to the fact $7 trillion was injected into the economy over a relatively short amount of time. But there’s something to me that looks kind of ominous. If you look at the Russell compared to the Nasdaq, or let’s just say if you did equal weighted in the SP, it be down for the year. But cap weighted is up for the year, meaning the big companies, people are buying their shares. To me, it almost kind of smacks a flight to quality. Do you think that I’m reading too much into it or no, no, I.

Tony

Don’t necessarily think you’re like flight to quality right now, as people are spooked, it’s a natural thing to do, right. And you have the Fed start to dial down on or start to increase the rate of QT up until the banking scare a month ago. And so some of that money was being taken off the table and other things. So I think as that money is taken off the table, people want to move to quality because the smaller companies they’re just not sure about. But I think what we’re seeing in some of these earnings that there are some companies that are actually doing okay. People have kind of figured some of this stuff out. They’re getting more efficient with staff, especially in tech. They’re getting more efficient with staff, and they’re really learning how to pass their costs on to their customers.

Bob

Bobby Gany yeah, so I want to push back a little bit on the stack inflation thing, which you might have guessed. Tony Tweeted today, jimmy, we tagged you in. I don’t know if you got a chance to see it, but Tony said with the strong earnings, are we still talking about stagflation? And I jumped in with a yup, and I said, okay, let’s talk about that. And then, Jimmy, I actually have a question for you because one of our members on the Path Trading partners, YouTube, asked a question and asked me to ask you. So when you give me an opportunity to do that, I will. So I maintain that stagflation is the worst possible economic situation. Some people, like Charles Payne from Fox News thinks deflation is worse than stagflation. I can understand that argument. It’s it’s kind of tougher to get out of. The stagflation argument to me, sort of plays out like this. We had GDP go from 2.6% to 1.1%. So there is a slowing economy, still growth, actually still respectable versus the last 20 years. Right, guys? But versus the last 20 years, I wouldn’t call it generally respectable. And then you had both PCE numbers surprised to the upside in some forms.

Now, I would argue, and Jimmy’s been correct about this, the supply chain part of the inflation has virtually gone away, but the wage part is still biting. And that’s where we saw in the ECI numbers, the employment cost index numbers, also surprised to the upside. So my fear is this. And one of the things I said to our members is, you guys stop spending because the economy is slowing down. I really don’t want stagflation to happen. Okay? Quit our service. Do whatever you have to do. Just stop spending.

Jim

Right?

Bob

Well, some of the things like wage salesman I know, I’m awful. I am awful at this shit. Anyway, some of the things in terms of the wage growth and the increased Social Security stuff, to me smack a little bit inflationary. And it bothers me because when you look at the labor numbers, which is what a lot of economists and analysts and guys we had on the show point to as a strong part of the economy, every Fed hike cycle has ended in a recession except 1994. And every single time after the recession started, the unemployment rate rose by a lot and fast. But it was after the recession started. So my fear is that I think where we get lost in the argument is are we in a recession now? No. Are we going into one?

Jim

I think yes.

Bob

So where am I crazy?

Tony

Well, I don’t think you’re necessarily crazy. I think there is not 0% chance of a recession. There is not 0% chance of stagulation. So everything I say is just kind of and we all have recency bias whenever we analyze generally. Right. I think what Jim said is we had $7 trillion or $8 trillion pushed into markets very quickly. Right, okay.

Tony

And so that’s the sugar high that we saw, particularly in 21. Right. And we kind of weaned off it a little bit in 22. And right now we’re facing those hard trade-offs. Right.

But with that much money pushed into the market and the supply chain constraints we saw from COVID we saw goods inflation just a rocket ship. Right, right.

And then what happened? People couldn’t necessarily buy all the stuff they wanted to buy, so they demanded higher wages. So there’s a delay between goods inflation and wage inflation. Right.

And so now that goods inflation has generally subsided, wage inflation, there’s going to be a lag because we saw Walmart give that big raise to all their staff in January and then that kind of cascaded to everyone else. And we saw Social Security and all these different wage rises come around. It’s going to take a while for that to cascade through. And then will we completely normalize? It depends on how we normalize is normalizing back to 2019 levels? Unfortunately, I don’t think we’re going to do that right now without serious economic damage. So I think all we’re looking for is some sort of balance point where we have this kind of sugar in the economy that has kind of diffused through the economy. Right.

It’s had all of its effects on the cost of goods and wages. And now that it’s diffused through the economy, we have to start figuring how to normalize how do we take it out? Right.

And we have to be really careful about that with higher wages. So will wages get high to a point where people start coming into the economy, people who haven’t been in the economy for a while? Right.

Because in 2020 we saw a lot of people check out of the economy, but we also have baby boomers who are retiring at an accelerating rate. So we may have a point where we have people who are out for either voluntary reasons or maybe they’re not necessarily don’t necessarily have the best skills or something like that. We may see people come back into the economy that might put wage downward pressure on wages, but I think it’s going to be maybe a year before we start to see that we’ve really got to see wages continue to rise.

Bob

I think you definitely make a compelling case that this could be different, that there could be a soft landing built in the year. I hadn’t thought of it from a perspective, even though Jimmy has said it over and over again, but I tune them out. I hadn’t thought of it from a perspective of, okay, so the sugar high is out now and there’s actually time to normalize the rate rises with the price rises where it can actually come down. And by the way, to your point, Tony, people who say there’s never been a soft landing are wrong. I mean, 1994, the Fed did engineer, quote, unquote, a soft landing.

Tony

It did happen, yeah. But I think it’s going to be a hard landing for some people. For those people who’ve been laid off from tech companies or whatever. Right. It’s already been a hard landing for them. Right. And so it just depends on how broad that hard landing is. Right.

And so can those guys get other jobs? Maybe. Is it going to be 300 grand a year checking in for 2 hours a day? Probably not. But will they be able to get other jobs that’ll soften their landing? So it depends on how broad that landing is.

I remember in the early 90s there was a recession that nobody else talks about anymore. Okay, my parents were both laid off from their job. Actually, they weren’t laid off from their job. They were at a company, they both worked for the same company, where every three months, they had to reinterview for their same job. Okay.

And so they had kind of this rolling rehiring within the company. It was terrifying for them, right, that you couldn’t make long-term plans. But at that point, in that recession, employment in places like New Jersey was 18%. Okay, so again, we talk about the 2000 recession, we talk about 2008, but 1991 was really bad, and they had to reinterview every three months, and that lasted, I think, two years or something like that.

That’s not there right now. Like, everyone is kind of complaining about having to end work from home or whatever, and complaining about not getting whatever kind of benefits with their job, rather than just having a job, period, right. So we still have so much workforce demand, so much lack of supply, that I don’t think we’re anywhere near how difficult things were in 1991. And until we get there, I really don’t think we see a really hard landing. And again, it’s a relative kind of perception. The smallest hiccup will be portrayed in media as a hard landing because somebody’s having a hard day, and it sucks. It sucks for them. And I’m really sorry that people have to go through this, but it’s all relative, and we really haven’t seen a hard landing for at least a decade. I mean, 2009 would be the last time.

Jim

So tell me this, Tony, because you look at and I like what you’re saying here. I’m not convinced of soft landing yet, but I like the word you’re saying. The money supply, m two money supply, there’s been four times in history, independent, this one, that the m two money supply contracted by more than 2%. Three of those times were a depression. 18, 70, 19, 20, 19, 29. The fourth time, I think it was a panic of some sort in like the 1890s. Right now, our m two money supply has come down two and a half percent, more than two and a half percent. Why is it different than them? Actually, I have an answer. I’m curious what your answer is, because I have an answer, too, that it is different. Why do you think it’s different?

Tony

I think it’s different because a lot of that was one-time government spending. And so people understood that PPP was one time. People understood a lot of these payouts were kind of one-time payouts. And so it’s like, okay, let’s back up the truck, take the handout. We took PPE in my company, and I’m not embarrassed about it at all, because not even more, we took the PPP, and we knew that it was one time. Right.

And so you take it, you survive, and then you live to continue the business or continue a household or whatever. So I think people are mentally prepared for the fact that this cut government spending was a one-time deal. Right.

Jim

That’s my opinion as well, by the way, too. I thought the fact that we inject the 7 trillion, 8 trillion, whatever we’re talking about here, to expect a little bit of a mean reversion, I think is relatively reasonable. So I do genuinely believe it’s different this time and again. I’m not saying I think it’s soft landing because I do think there’s a bifurcation in the economic condition. I think there was a big wealth transfer of that money we were talking about. A lot of it went to the higher end. I think people are struggling on the lower end. Tyson Foods just announced a 10% reduction of workforce. So this is different now than tech companies that were bloated and hired a shit ton of people over two years. Tyson Foods didn’t hire people. So I like what you’re saying about the soft landing. You can justify those things and still see those layoffs coming and think it’s going to be okay.

Tony

Yeah, I think, well, here’s where it’s going to be different, okay? It’s going to be different over the next two years with white-collar jobs. Okay?

And this is where kind of you roll your eyes and go, okay, he’s going to start talking about AI. But I think we will really start to see a reduction of white-collar jobs because of technology. It’s not going to happen immediately. It started a little bit, but I think we don’t really start to get traction on there for probably two years. Okay, so when we see Tyson Foods cut jobs, that’s different. Maybe part of that is automation, part of that is demand induced, but we’ll really start to see your finance people, your accounting people, your marketing people, people who say make really good money are educated, but let’s say they live their whole day or a good portion of their day in Excel. Anything that any of us do in Excel can be automated. Anything. And so these jobs where people went to school, say in the 90s or 2000s and got an MBA, got a corporate job, all that stuff, what we’re going to start seeing in two, three years time is initially there will be an augmentation of their jobs using AI, ML, whatever you want to call it. Over time, what management and boards will realize is that a lot of the time that these white-collar professionals are spending is on relatively mundane tasks, okay? And so they can’t necessarily be outsourced somewhere because it’s sensitive information. But they’re repeatable mundane tasks and ask anybody who’s white collar if they’re really honest with you, they’ll tell you a good portion of their job is kind of routine, boring stuff, right? Not just in meetings on the phone. It’s kind of reports they have to make or data they have to analyze or things that have to be written or whatever, right? And so we’ll start to see some of those structural adjustments in white-collar jobs in a couple of years’ time. That’s when we’ll hear a lot of screaming and a lot of pain from that class of worker that we haven’t really heard from in a couple of decades at least. Right.

But going back to kind of the softish landing, of course, there will be turbulence. Right.

But I think it’s possible that as long as that supercore inflation is persistent, the Fed doesn’t really have a choice. They have to continue pulling back because that supercore inflation is hitting everybody because these are services jobs, right? So everyone is hit by services jobs inflation. People who go to Walmart to shop, people who go to McDonald’s. McDonald’s pushed their price by almost 9%, I think, over the last quarter or last year. I mean, everyone’s hit by this stuff, and it’s largely on job costs and wages. Everyone is hit. And so the Fed has to move on it. So we’ll see more investment in productivity. We’ll see more focus on productivity because people just can’t continue to be pushed on price. We’re not there yet, but people just can’t continue to be pushed on price. It’s just unaffordable at some point.

Jim

Okay, you’ve mentioned AI before, too, and I like a lot of things you’re saying. Another that one company, that MCD company, I’m not allowed to talk about it. My daughter may or may not be an exec at that company, but whatever. Let’s not talk about that. Anyway, so how far are we from AI, where we could have seamlessly had one of us on this call be AI-generated and people won’t know? Are we years away from that, or no?

Tony

Oh, no, I don’t think we’re far from that. Let me give you a very tangible example of what we do. And for your watch. I don’t intend this to be a sales pitch, but this just can help you understand what’s possible. Okay?

So we do really boring stuff at Complete Intelligence. We’re an AI company. And so what we do is we help companies to augment and automate their budgeting process and their forecasting process. Okay?

So we have a customer. Their annual revenue is about $12 billion. They have, on an annual basis, about 400 people working on their annual budget. Okay?

It takes them three months, so that takes them three months to do. It cost them maybe six million dollars, five to six million dollars to go through that process. Okay?

When we worked with that company, the first time we did their budget, it took us 48 hours. We were 0.3% off of what those 400 people took three months to do. Okay?

Now, a year later, we circled back with the finance executive who we worked with, and he said, you guys absolutely nailed our budget number. At the beginning of the year, not only did you nail it. You did it for six layers deep within the general ledger. Okay.

The people that they have working on their budget do it three layers deep within their general ledger. Okay.

And these are relatively highly paid white-collar professionals who are doing this stuff. Okay.

There are 400 of them. I’m not saying we would replace them, but we certainly take a huge load off of their workload for three months of the year. Right.

And so can they do different activities? Can they do with fewer people, those sorts of things? Right.

And so these are the kind of things it’s not super sexy, it’s not Palantir doing CIA stuff or whatever. It’s really mundane stuff that really impacts the bottom line and headcount of a company. Right.

And so this is where I think the really interesting stuff in AI is, is ChatGPT interesting? Yeah, absolutely. I don’t have to hire an entry-level analyst anymore and have them take six months to come up to speed. Right.

I can actually go into ChatGPT and have something written up that it would take four to six months for an entry-level analyst to learn how to write. It takes me 15 minutes. Right.

So these things but just to let you know, kind of when I talk about white collar jobs and AI starting to be augmented or automated, I’m talking about the really boring stuff that, quite honestly, people really don’t like to do. Right.

And so we help those things to those roles to be much more productive, and we help those executives to get a much more accurate view on their business.

Bob

So, first of all, Tony, you’re a pretty ethical, honorable guy. I was on your podcast as well, and you couldn’t have been nicer or kinder. So I want you to tell people how they can get a hold of you. We have some pretty high net-worth listeners.

Tony

Okay.

Bob

You’re not on here to pitch your company. I want you to tell people in the middle of the podcast rather than the end where people might have kind of drifted off already since Jim and I are so freaking boring, where you can.

Jim

I’m excited as hell.

Bob

He never moves from that position in the chair. He literally sits like this.

Tony

He’s got a long day.

Bob

He’s actually AI. He’s not a real person. Tell me where they can reach you, Tony, before I ask you the question.

Tony

Sure. I’m on Twitter. @TonyNashnerd. T-O-N-Y-N-A-S-H nerd. My email tn@completeintel.com so I own the nerd thing. I’m not afraid of it. I get it. But, yeah, contact me. I’m happy to talk to any of your viewers.

Bob

Okay, so another thing, by the way, right now, being a nerd is cool, so don’t act like you’re admitting something that’s embarrassing right now.

Jim

It’s a flex. It’s not enough.

Bob

Yeah. All of a sudden it’s a flex these days where I don’t know who even made it a flex. I used to flex in front of nerds and try and scare them off.

Jim

It’s the Big bang theory.

Bob

That’s what it is. Big bang theory.

Jim

A long way in normalizing, which I think was very interesting. Yeah.

Jim

Big bang culture thing.

Bob

So here’s my question, Tony. Good. So I actually have very recently and I don’t think there’s any problem with me talking about this I used to have to call an attorney for every little thing, and it got so ungodly expensive that I started just kind of looking for templates online. And in simple agreements, I would just write my own and take my chances, because in a worst-case scenario with a client, like we do in Pat trading partners, we do like, boutique analysis for smaller firms. So I would just write simple documents and be like, what’s the worst that could happen? They don’t pay me for a month. It’s probably still less than I would add to pay a lawyer to write up this document. I recently used Chat GPT 4.0 to create an easement between myself and my neighbor so that our fences could connect. That goes into perpetuity. So number one, are certain white collar managers going to be slightly timid to hire you? Because obviously some of the mundane tasks they do make them valuable? And number two, do you think there’s a larger economic effect on white collar jobs? For example, my easement that I’m not going to be paying a lawyer for that comes with AI.

Tony

Yeah, absolutely. We see this all the time. When people realize what we can do. There’s kind of that holy crap moment where people realize, oh, my gosh, we have 400 people working on this stuff and these guys can process it in 48 hours. When people realize that, it’s impressive, but it’s kind of scary, right? When I think about how are you using a lawyer? You’re using a lawyer to manage risk, right? And so why do you call a lawyer? Because you want someone else you can call and say, hey, that guy told me that this was the right thing to do. So you’re basically outsourcing your risk to them, right, so that they can create a document for you. In what we do, when a CFO walks out of their office and they see 50 people or 100 people, those people are effectively managing risk for them, right? And so nobody really thinks of AI in terms of risk management, but actually those people are managing risk for a CFO. Okay?

And so when we do what we do, we’re automating that risk element and we’re making it much more consistent. Right.

How risky is it for you to forecast your budget for the next year? Right?

If you get it wrong and you give the street the wrong number or the wrong guidance or whatever, it can be really bad. Right.

But for everything we do and ChatGPT and other AI tools work the same way. We have a statistical basis for everything we do. So everything we do, we tell our customers our error rates for every single line item for every month. Okay?

And we actually have a publicly facing platform called CI Futures that people can subscribe to to see the S&P 500 stock forecasts. They can see equity markets, they can see currency forecasts, they can see commodity forecasts, and they can see global economics. It’s $20 a month. So really cheap, right? But we disclose our error rates on that platform so that people can understand the risk associated with what we do. Right?

And so I think we have a more educated society. You have more confidence in using GPT 4.0 because you’re confident in the underlying tech, the broad based adoption of it, and the kind of statistical, although you’re probably not too aware of it, the statistical underpinnings of it, right. Because all it’s doing is, all GPT is doing is going out and doing a bunch of, say, Google searches all at one time, looking at the incidence of a topic or a word, and then putting that together for you on an incidence basis. Right?

So you want a legal agreement for an easement, and it goes out and says, okay, legal agreement for easement. What are the words that are used in those agreements? How are they structured? And what’s the incidence of the order of that stuff? And it’s summarizing it up and it’s putting it together for you. Right?

And so that’s just a statistical analysis that is reducing your risk because it’s looking at what most people do, right? What do most of those agreements say? And so what we’re doing when we forecast, say, a supply chain cost or an expense budget or a revenue budget or something, is we’re looking at a lot of data. We do trillions of calculations to do this stuff. And we’re telling people, you know what, statistically this is likely what’s going to happen in that very deep line item within your budget in September of 2023, something like that. Right.

And so they have a higher degree of confidence in what we’re doing. It’s faster, higher degree of confidence, and it’s better. Right.

And your question about people who are nervous about it yes, they are. And you know what, I’m an investor in companies, in publicly traded companies. Do I want to know that they hire 5000 people in their finance team and it could be taken down to, I don’t know, 3500? I would want to know that. Right.

And so is there inefficiency, in these finance teams or marketing or other teams? Absolutely. Right. So that’s what this technology is doing. It’s allowing investors to look at the companies they invest in and go, hey, company A, why are you not looking at this technology to deploy in your company to actually make your workers more productive? That’s really what it’s all about.

Bob

You’re the boogeyman to a lot of middle managers, Tony. Go ahead, Jimmy.

Jim

Absolutely. Can we flip back to markets for a second? Because I do want to talk about the buoyancy in the stock market, particularly the last couple of days. I’m having a difficult time understanding it, particularly after we saw that the GDP number, which, like we said earlier, showed both slowing economy and inflation, that’s being persistent. What do you make of it? Why do you think the market is going higher?

Tony

We had nominal GDP at 7-8%. I don’t remember the exact number, but you have a nominal GDP number that is the same as it’s been for the past couple of years with all of the government stimulus. Okay. Real GDP is different, of course, because it factors in inflation. Right?

And so we have inflation at five to six or whatever. So that’s discounted to one point whatever percent it came out at. Right. You’re still growing nominally at the same rate you’ve been with all of the COVID stimulus. I think that’s part of the reason that people are looking at this economy and going, yeah, we really thought that pullback was coming. We really thought the economy was slowing. But in fact, statistically, on a nominal basis, it’s still running at the same rate. If we factor in inflation, then it pulls down, then it looks like it’s slowing. Right.

So as you deconstruct the data that come out, it’s not really bad. And if you look at that nominal run rate and you say, okay, if we could get inflation down, then that nominal rate actually looks really good. Right.

And so it’s possible I’m not saying this is probable, because it’s not in our outlook, but it’s possible that if the Fed can actually get inflation down while keeping nominal growth, maybe not at seven plus, but let’s say it’s at five plus, then we’re in amazing shape as an economy, right? Is that likely? Again, I don’t think it’s likely, but it’s possible. Again, here’s what I always say for people with economic data, okay? And if you see me on Twitter, I always say, Wait for the revision. Always wait for the revision. Because this first release that you see is really a bunch of government statisticians doing a best guess, with very little data, actually. Okay?

And so when we see retail sales, when we see CPI, when we see GDP, whatever, we see it’s government statisticians basically doing a sample of a sample of a sample and getting a quick number out to us to give us an indication of what’s actually happening in markets. But there’s three or four revisions to a bunch of these numbers, so we won’t know for two years what the GDP number really was.

Jim

That’s a good takeaway, by the way, from the show, because I think that’s interesting and something I don’t think about quite enough.

Tony

Nobody does.

Jim

Yeah, nobody does. Right. When you look at how gold, bitcoin, silver have performed so well over the last few months. Put a fine point on that. How do you explain it?

Tony

I think it’s just a function of the dollar coming down. I think it’s kind of the reverse of that. I think it’s people pushing a recession narrative and wanting to kind of look for a safe asset. And so that’s really, I think, all it is. I don’t hate gold. I don’t love gold. I’ve been in and out of gold over the past year or so. Not on a regular basis, but I’m not in it now. But I think it’s useful when it’s useful, but it’s not something that I’m looking at. I did have a crypto investment a couple of years ago. I was in doge for like, six weeks, and I got in at got out at $0.76. So I did okay on that. But it’s a bigger suckers market in crypto, I believe. It’s not money. It’s an asset. Okay?

Crypto is an asset. It’s not money. And so I saw it as an opportunistic asset. I got in and out. I didn’t make a huge amount of money. I just wanted to see what could happen. Did a lot better than I thought it would do. And I’m just not a huge crypto fan because I just don’t see where it’s going, especially when we’re talking about central bank digital currencies and other things. It’s just what are you going to do? If every investor in the US. Can’t fight the fed in their trading every day, then how is a cryptocurrency going to fight the fed with a central bank digital currency?

Jim

Bobby, do you agree with that? Do you think that there’s no use case scenario for crypto going forward?

Bob

What bothers me about crypto, I don’t think there’s no use case, but I agree when Tony says it’s not money. I think it could become money, but to me it’s very strange because nothing is technically money unless we get rid of income taxes, because the only thing that gives the fiat currency value is that it’s an acceptable form of payment for your taxes. Otherwise nobody would trade that paper. Why would anybody hold just pieces of paper that’s backed by nothing? Which is and Jimmy and I, you and I have talked about this both privately. And last week I did a WGN radio show where the guy said to me, bitcoin is favored by drug dealers. And I said to him, I was in studio down on Michigan avenue, and he said, favored by drug dealers? I said, pull out whatever you got in your pocket. He pulled out a bunch of cash. I go, so is that and so is that not backed by anything except that you can pay your taxes with it. You can’t pay your taxes with bitcoin. But I’ve had private arguments with people. I wish I could remember this woman’s name.

I watched this young woman who’s a Bitcoin fan, and she was arguing with Peter Schiff, right? And she said, Bitcoin is money. And he said, no, it’s not. And she said, yes, it is. No, it’s not. And she says, yes, it is. Because I pay people Bitcoin and they pay me in Bitcoin. And I said, okay, that’s fine, fair enough. But I just gave a 15 year old kid a pair of Jordans I don’t wear anymore to come and cut up a bunch of boxes for me and put them into my recycle bin. That doesn’t make Michael Jordan’s shoes money, just that he was willing to accept it to do the work. Right.

What makes it money is the ability for everyone. Or I shouldn’t say the ability the willingness for, let’s just call it the majority of the population to accept it in a transaction. We’re nowhere near that.

Tony

Yeah. I want to be clear. I don’t hate crypto. I don’t think it’s bad or anything. I’m not making a moral judgment call on it.

Bob

I didn’t take it that way, Tony.

Tony

And if people want to invest in it, I really don’t care. But it’s changing the topic just a little bit. I’ll make an analogy. It’s like Argentina using the CNY for trade settlement, right? All they’re going to do is two currency transactions when they pay in CNY, okay? Because everything in trade is either in dollars or euros, everything in international markets. So they may pay in CNY, but really they’re going to be checking what the dollar value of that trade transaction is, right? You can say the same thing for crypto. Does your brain work in I’m going to go buy a banana in crypto? No, you think of it in dollars, right. Or euros or whatever, right? And so, sure, you may transact in crypto, but it’s just circumvention of the dollar system because that’s what the ultimate nomination of that value is, right? And so until we start thinking about things valued in crypto, right, until I can go to the gas station and they say, oh, this is however many Bitcoin or whatever, I have no idea what their numbering scheme is. I just don’t see it as currency. I spent most of my life in Asia.

I worked with a lot of currencies like Sri Lankan Rupee and Vietnam dong and all that kind of stuff. Those are currencies. They’re nationally traded. They’re traded every day, all that stuff. So you don’t have to be the US dollar or the Euro or CNY to be a currency. There are minor currencies all around the world.

Jim

So why don’t we outline something real quick? Because I got a question to you about the de dollarization, but I want it to be known that I can hear the name of the Vietnam currency now and not snicker and laugh. This is growth.

Tony

Congratulations.

Jim

Okay, very good. So the de dollarization thing, I did think that it was a big mistake what the Russia freezing assets kind of weaponizing the financial system. I still am of the camp that I’m not particularly concerned of any sort of global de dollarization thing. I mean, the reserves are still there just does not seem to be a suitable substitution. Are you on the same camp or.

Tony

Are you concerned China still pegs the CNY to the dollar? Every day. They announce every day what their USD CNY conversion rate is. Every day. Okay, so does that tell you that there’s de dollarization? Whenever people talk about CNY, I would say you do realize that the PBOC literally uses numerology to decide their interest rate. They literally use numerology.

Jim

Okay, what does that mean?

Tony

It means it has to be a pleasing number that ends in an eight. Okay.

I’m not kidding. It’s not the only factor, but it is one of their considerations. And so you can’t have a central bank that is setting their rates, whether it’s a repo rate or an interest rate or whatever, using numerology. I mean, that’s just not credible. And if people would look into the inner workings of the PBOC, they would understand that CNY is just not a credible international currency. Regardless of what Xi Jinping wants you to believe, and regardless of what all of the kind of anti dollar people want you to believe, it’s just not practical. The other part is this Belt and Road initiative, which is kind of more of a joke than a reality. It’s all nominated in dollars. It’s all nominated in dollars. A Chinese national program now, okay, so the part outside of China I’ll say is all nominated in dollars. So if there really was a de dollarization underway, why would the Chinese government be funding trillions of dollars of infrastructure in US. Dollars and not in CNY. Those loan agreements, those equity agreements, they’re all in USD.

Jim

By the way, I agree with you 100%. I am not particularly concerned about de dollarization, but I will going to push back for a tiny bit on something. Six, seven years ago, I would have said the notion of a dollar collapsing was a .1 percentage. And I think that’s changed and I think now it’s a 1% possibility, which I think is ridiculous for us to be making these moves. Poor stewardship of the currency, what we did in Russia, it’s at least something to be concerned about. Or you have no concern over it.

Tony

What’s the alternative? Like we’re all going to trust in the ECB? I’m sorry, it’s not the currency we want, but it’s the currency we have. Right? Right.

So if you look at the Fed’s behavior, the central bank itself matters a lot. It matters more than the currency itself. Okay?

And so if you look at the Fed’s behavior, they have meetings, they have notes, they respond to media and so on and so forth. Are they as transparent as we want them to be? No. Do they do the things we want them to do? No. Do they have a bunch of bureaucrats working with them? Yes, but when you look at other central banks on a relative basis, it’s actually better. Right, right. Sorry. Go ahead.

Jim

I tweeted something about a week ago, and I said, we don’t have to have a good currency. We can even have a shitty currency. We just have to have the best currency. Right? That’s what you’re saying, right?

Tony

Right.

Bob

It’s that best house on a bad block thing.

Tony

And I don’t say this to be dismissive at all. I take the dollar as the kind of US holder of value very seriously, but I’m just not sure what that other vehicle would be. Look at the structure of the European economy. It can’t be the euro. Right?

Look at the UK and some of the policy decisions they’ve made. It can’t be the pound. Look at China. I was talking with Michael Ncolettos about a month ago, and he was saying M two in China, the amount of M two issued in China is something like three times the value of their GDP. Okay?

Now, M two in the US is something like 90% of the value of GDP. Right?

So China has three to four times the amount of money in circulation compared to GDP when we make it relative to the US. Right.

So how can that be seen as a credible currency? They just are not managing the number of fund tickets that’s in their economy. Right.

And then again, when you look at Japan, look at their central bank policies, look at their demographic structure, the Japanese yen is just not a credible currency. So I just want to understand, first of all, what is a real currency that we can use? Not crypto, which is an asset. Okay.

And what is a central bank that we can trust, that has sufficient money in circulation, that is usable? And I think I don’t know of another solution right now. Again, as an American, I don’t want the dollar debased. I don’t want it abused. I don’t want all that stuff. I want solid money policy. Right.

Have we had it for a while? Actually, we haven’t. Right.

And so things need to change, and we need a more responsible, certainly more responsible spending in DC. And we need a more responsible Fed. But I think on a relative basis, it’s kind of the best we got.

Bob

So, Tony, I want to say this correctly. We have a responsible Fed, relatively speaking. Is that correct?

Jim

You guys agree with me, by the way.

Bob

I know again, that’s the worst house. What is that? The best house in the bed? I don’t know. They saw, but they’re the best one out there. So from a perspective of that, you think a soft landing is possible? Stop me anywhere where I misrepresent you. Okay? You think a soft landing is possible? Am I wrong on that?

Tony

I’ll say uncomfortably soft landing because we’re going to have chop at points, right? So, yeah, we can have an uncomfortably soft landing.

Bob

So I have come around to the idea that the Fed might be cutting rates. I don’t think this year the CME Fed watch tool has the first rate cut pricing in September if things are okay. So if things are okay, why the hell would they do that? And this is why. There seems to be this sort of mismatch between what people are trading and I want to stress the equity markets is not GDP, the economy is not stocks. Right. There’s been several times in history well, not several, but there have been times in history, 73, 74 in the US. Where GDP was strong and stocks were negative. Same thing with Japan in the 90s. They had good GDP, but their stock market couldn’t recover. So these things are detached. They’re not as correlated as people think. But if we actually have good earnings, which no one can argue, we had good tech earnings. Right. We have terrible market breadth still, but we had good tech earnings. May continue next week. We have 709 companies reporting next week.

Tony

With market exxon Chevron reporting really well. There are some parts of the economy that are doing corporate green. Corporate green.

Jim

Go on, Bob.

Bob

Why would they cut rates? Why would they if things are going to be semi? Okay, and Jimmy, this leads me I want to ask Tony respond to that, and then I have to get this question out because it was asked of me. You said in the last podcast that you think we’re going to have a nontraditional recession. What does that mean? So go ahead, Tony.

Tony

Okay, so I’ll just parrot what somebody said to me earlier today. They said bond investors are the worst investors over the last three years. Okay.

Bob

Small data set.

Tony

Sure. What’s that?

Bob

Small data set, right? Relatively speaking, yeah.

Tony

But they haven’t performed very well at all over the last three years. Right. And it’s largely bond investors who are looking at that because it affects their bonds. There is this persistent desire among bond investors to have a recession that’s just baked into the pessimism of being a bond investor, I guess. Right. And I think if we look at earnings, certainly, especially those reported over last week, but also when we have the globally systemic banks report a week and a half ago, those were not bad earnings at all. Right.

And are they telling us that we’re entering a recession? I just don’t see it. So I think September, like, again, I don’t want a recession by September, but I actually don’t think there will be a recession by September. I actually think that things are persistently strong again, because we have that strong nominal GDP growth with relatively high inflation. So if we had stagflation, we would have high inflation and a smaller GDP number than inflation. Right.

Tony

But I think with where we are now. I don’t see us kind of on the precipice going into Q Two, going to Q Three and saying, oh gosh, we’re going to fall off a cliff, right. I just don’t see that. And again, I think part of it is because people saw those government payments as one time or limited time, right? And people have kind of buckled down and said, this is over. We have to figure something else out, and they’ve just continued to spend.

Jim

So, Bobby, to answer the question that the viewer asked, and it kind of relates to what Tony just said too, about the payments, I think that there’s a massive change in our economic condition. I think there was massive wealth transferred from the bottom 60% to the upper 20%. I think those two people still have a shit ton of money. I ride the L. I ride public transportation in Chicago. The amount of people who appear to be living on the fringes has exploded to me, even when it was going on, I was saying to people, no, you’re going to get two $400 checks, and I’m going to get massive appreciation in the four homes I own and the stock market portfolios I own. This is favoring me, not you. And I think that that’s happened in a big, big way, and I think we don’t have the tools to calibrate and figure out we can do Ginny coefficients to measure wealth inequality, but I think there’s this massive wealth inequality, and I think the government then gets involved and tries to support the lower end. Makes it even worse. It’s a yoke, it’s not a gift. And I think we’re in kind of a fucked up way right now in our economic condition. Do either of you guys agree with me on that?

Tony

Tony, I don’t disagree with you, but when we see things like supercore inflation rising, that tells me that those wages for service workers are rising in a persistent manner. And I don’t think that’s all bad. Right.

I think that’s helping the folks at Walmart, the folks in the service sector, get better wages. And they’re not getting it through government regulation. They’re getting it through the market working. Right.

And so employers have realized they have to pay more. It’s not some local city government saying you have to pay $20 an hour or whatever. It’s the market working. Does it take a long time? It does, and that sucks, but the market is working. People who work at the lower end are getting more money. People who work in the middle are getting more money, and people in the middle of the US. Who have typically lagged pay rises on the coasts are getting more money now. Okay. And so we’re seeing that makes me feel better.

Jim

Yeah.

Tony

So markets are working again. Markets sometimes take a long time to work. Right. When it comes to pay, I do.

Jim

Worry that the government is going to see what I have identified, like I’m coming in to fix it. And we all know what happens when they fix it. Bobby, do you got another question before we go?

Bob

Well, no, I just want to add on to what you guys are talking about here. What you just said, Jimmy, and what Tony explained just as clearly is why I fear Stagflation so much, why I actually said to the people who pay us, stop paying us for a little while. Because in my opinion, by the way, if you join, if you hire complete intelligence, we will not be getting paid for that. So don’t worry, there’s no discount code here that’s coming out after the show. No, but what the government will do to try and fix Stagflation is the Fed ill advisedly, so fears a recession more than inflation? I think they should fear inflation more because inflation hurts the poor and it’s a tax on the poor. And the government, because they’ll be in election close by, will send out checks to help people deal with the inflation that’s still there while the economy is slowing down, which will just spark an even worse situation. So my fear is that if we get Stagflation, not only is Stagflation bad in and of itself, but the government’s response, and including the Fed in, that will be awful for 2025 and 2026, and for the lower middle class and the poor, it will be hell on earth.

If they do that in the next five or six years, they’ll crush people. And that’s my biggest fear about Stagflation, why I hope I’m wrong about it coming?

Tony

Well, we see what’s happening in Europe with the payment for energy.

Jim

So here, both of you, lightning round real quick. I’m sorry, Tony, I didn’t mean to talk over you. I just have one quick question. I do it all the time. Yeah, it’s a shortcut thing. Can we have stagflation if we don’t have high energy prices? Tony?

Tony

Yeah, of course. We can have all kinds of we can have high food prices and have stagflation. So I think having high energy prices would certainly make it easier. But sure, high food prices or high rents or high housing, that sort of thing, I mean, major components. Yeah, absolutely. We could do that.

Bob

My answer is very similar. Yes. But it would be a hell of a lot harder with low energy. Yes.

Jim

I just think of the cost push and the energy embargoes made it a lot easier. Let’s wrap it. Unless anyone’s got something real pressing that’s going to set everyone on their ear. Guys. Good.

Tony

Thank you so much.

Jim

Yes, it’s a lot of fun. I love to do a deep dive, particularly get to know you a little bit better. This is awesome. And thanks for plugging your AI. I think that’s a really cool thing. Have a great weekend. What are you doing tonight?

Tony

Tonight I’m just resting. It has been a dramatic week. So I’m just going to shut it down tonight as a Nerd dragons. That’s right.

Jim

I’m going to a figure skating competition that’s going to be 3 hours long for my niece. She’s not even my daughter. She’s not even blood to me. She’s my wife’s niece. And I’m going to a three goddamn hour figure skating competition.

Bob

You saved yourself by saying you’re going for a relative, so that way take.

Tony

It for the team. Jim exactly. Dads and uncles everywhere. I appreciate you.

Jim

She’s one of my favorite nieces, even though she’s not blood to me. But I really like her, so I’m glad to support her.

Tony

Great.

Jim

I will see you guys. Have a great weekend.

Tony

Thank you so much. Thank you.

Bob

Thanks, Tony.

Categories
Podcasts

Behold the Power of Superforecasting

This podcast first appeared and originally published at https://soundcloud.com/user-454088293/behold-the-power-of-superforecasting on August 26, 2020.

 

In just 2 minutes, you’ll learn why superforecasting is so much better than forecasting. Hear how automated, data-intensive AI with no human bias can help make predictions and adjust strategy on the fly, and how startup Complete Intelligence is making it happen.

 

Is forecasting enough when you need to analyze and take action? Meet the startup that says “no.” What’s needed is superforecasting.

 

Hi, it’s Mike Stiles, and this is Meet the Startups for the week of August 26th, brought to you by Oracle for Startups.

 

How can you be happy with forecasting when there’s something out there called superforecasting?

 

Startup founder Tony Nash and his company, Complete Intelligence are making super forecasting possible with a highly automated, data intensive A.I. solution.

 

Part of what makes it so SUPER is there’s zero human bias. No spin or wishful thinking allowed.

 

Complete intelligence is helping organizations visualize financial data, make predictions and adjust strategy on the fly. That gets you things like smarter purchasing, better supply chain planning, smarter cost and revenue decisions.

 

But it’s intense.

 

More than 15 billion data points are run on Complete Intelligence’s platform every day.

 

To get where they needed to be on performance and price, the company moved from Google Cloud to Oracle Cloud. That did it. Computing is at peak performance and Complete Intelligence’s global customers are reaping the benefits. That’s super.

 

We asked Complete IntelligenceCEO Tony Nash what this pandemic has done to forecasting and supply chains.

 

We’ve seen a big shift in how managers are looking at their supply chains. As a result of Covid-19, companies are eager to understand their cost and revenue risks, things like concentration risk and the timing of their cost, that sort of thing. We’re helping our customers with timely and accurate information to make smarter cost and better revenue planning decisions.“

 

What startup doesn’t like better performance and lower costs? Oracle has a startup partnership for you at Oracle.com/startup.

Categories
Editorials News Articles

2020 Best Tech Startups in The Woodlands

The Complete Intelligence team is so thrilled to have been awarded as one of the best tech startups in The Woodlands for 2020! Thank you so much to The Tech Tribune for this honor.

 

 

Please check the original publication of this here: http://thetechtribune.com/best-tech-startups-in-the-woodlands/.

 

Article as it appeared on the Tech Tribune website is below.

 

The Tech Tribune staff has compiled the very best tech startups in The Woodlands, Texas. In doing our research, we considered several factors including but not limited to:

 

  1. Revenue potential
  2. Leadership team
  3. Brand/product traction
  4. Competitive landscape

 

Additionally, the best tech startups must be independent (un-acquired), privately owned, at most 10 years old, and have received at least one round of funding in order to qualify.

 

Looking for a badge to celebrate your awesome accomplishment? Find it here!

 

1. Othram

Founded: 2018

 

“Othram applies cutting-edge genomics to forensics in a novel way that harnesses the full potential of genome sequencing to deliver superior genomic insight from degraded and low-input DNA samples. Founded in 2018, Othram operates at the intersection of molecular biology, population genetics and bioinformatics. Our team includes leading scientists and engineers working at the frontier of genomics, using proprietary laboratory techniques and computational algorithms to extract the most value possible from human DNA. We work with the military, law enforcement, private investigators, historians, and academic researchers to maximize the value of their genetic samples. Othram is headquartered in The Woodlands, Texas.”

 

2. Complete Intelligence

 

 

Founded: 2015

 

“Using advanced Artificial Intelligence, Complete Intelligence provides highly accurate cost and revenue forecastshighly accurate cost and revenue forecasts fueled by billions of enterprise and public data points using our Global Cognitive System ™. Our platform gives companies insight into their future, so they can plan for success. Stop guessing. Start planning. Succeed.”

Categories
Editorials

What nowcasts and unique datasets can tell tech about the coming economic shockwave

This article about nowcast is originally published in Protocol.com at this link https://www.protocol.com/nowcasts-forecast-economic-downturn-coronavirus

 

We are living through an economic event with few historical parallels. There is no playbook for shutting down many of the world’s largest economies, nor starting them back up again. But data-mining tech startups are searching out insights in unlikely places, trying to make sense of the global pandemic.

 

These companies are mining specialized datasets, from the prices of beef rounds and chuck, to traffic levels, to the volume of crude oil stored in tanks. Using a mix of machine-learning techniques, they’re spinning this data into “nowcasts”: small, nearly real-time insights that can help analyze the present or very near future. They’re far faster, more granular and more esoteric than the monthly or quarterly data drops provided by the U.S. government. Nowcasts originated in meteorology but are now being applied in economics, and the unpredictability of weather has never been more relevant to the economic outlook.

 

To glean key tech industry takeaways from the coming shifts, Protocol chatted with three data tech startups about the niche datasets they use to analyze economic events and consumer behavior.

 

One of them, Complete Intelligence, has attempted to build a proxy for the global economy that includes market data from over 700 commodities, equity indexes and currencies. Orbital Insight uses global satellite imagery to gather data on large-scale changes in traffic patterns, the business of marine ports, the movement of airplanes, and pings from cell phones and connected cars. And Gro Intelligence specializes in data related to global agriculture: crops and commodities, foreign exchange rates, and the supply and demand of food products.

 

Since these firms tend to shy away from spinning their nowcasts into takeaways (leaving that to their clients), Protocol also enlisted economists to help analyze the data and compare findings with traditional models.

 

Here’s what may be in store for tech over the coming months.

 

Top-level takeaways

 

The U.S. economy was relatively strong going into the outbreak of COVID-19. And that’s a key differentiator between this pandemic and past downturns: This is, first and foremost, a health crisis that’s spilling over into the economy — meaning that how well the economy recovers will depend heavily on what we learn about and how we handle the virus.

 

The wide range of responses to the pandemic — differing by country and, especially in the U.S., by region — mean that economic recovery will likely be protracted and uneven.

 

The U.S. is currently seeing this play out first hand in the way various states have implemented social-distancing measures. Gro Intelligence’s data showed that prices of beef rounds and chuck — which are more prevalent in home cooking — were at all-time highs in March as restaurants shut down across the country. But by using cell phone ping data, Orbital Insight found that things weren’t quite so uniform. It zeroed in on three cities representing three different stages of the pandemic — San Francisco, New York and New Orleans — then measured the percentage of time people stayed within 100 meters of their home each day. During the second half of March, the average resident of New York stayed home close to 85% of the time; in New Orleans, it was around 75%.

 

“When there is uneven distancing, there will be uneven recovery from the health crisis and therefore the economic crisis,” Krishna Kumar, senior economist and director of international research at RAND, told Protocol over email. “This might wreak havoc with cross-state goods, people movement and domestic travel.”

A heat map of San Francisco

San Francisco’s downtown is normally crowded with people, as the yellow areas on this map indicate. But after a shelter-in-place was ordered in mid-March, business districts emptied out.Image: Courtesy of Orbital Insight

 

Combine that with the far-reaching policy rollouts in the U.S. — such as individual stimulus checks, SBA loans and Federal Reserve actions — and there are a host of variables that could make the next few months difficult to predict. The stimulus may help spark a quicker recovery, but that trajectory depends on how long the downturn lasts. Experts agree that too much help could launch another crisis.

 

“A key reason for a more rapid decline in the unemployment rate from the near-term peak is the unprecedented size and speed of the fiscal and monetary response to this adverse shock, which contains measures aimed at maintaining payrolls,” researchers wrote in an April report from Deutsche Bank shared with Protocol, which addresses GDP model implications for the U.S. unemployment rate. The report forecasts the labor market returning to more normal levels of unemployment by the end of 2021 (4.4% by the last quarter of 2021 and 4% a year later), while the protracted scenario suggests the labor market won’t normalize until well into 2023.

 

Corporate debt levels hit an all-time high of $13.5 trillion at the end of 2019, and economists worry that too large a government bailout could spark a default crisis down the road — or even a corporate version of the subprime mortgage crisis.

 

“There’s a danger that we can lend carelessly,” Kumar said. “We just have to be prudent in bailing out the businesses that have future prospects and have returns to show.” He added that after the 2008-’09 financial crisis, banks in China lent heavily and, 12 years later, the time of reckoning might have finally come for those loans. “We can learn from that and make sure that we don’t end up having a state of default.”

 

Complete Intelligence’s algorithms suggest that deflation is likely already happening in China and parts of Europe as a result of COVID-19. But the data also posits that the U.S. may avoid outright deflation. The Federal Reserve has “taken unprecedented steps to inject liquidity — it stands ready to buy even junk bonds,” Kumar said. “These steps are even stronger than the ones implemented during the Great Recession of 2008. At least for now, it doesn’t look like the liquidity pipes are freezing.”

 

Oil storage statistics can also signify broader consumer economic indicators like consumption, and as of April 14, there’d been a 5% increase in crude oil stored in floating-roof tanks around the world over the past 30 days alone. (The startup applies computer vision to satellite imagery to analyze the tanks’ shadows to glean their volume.) While lower prices are good for consumers, they’ll also add to deflationary pressures, according to Kumar — and the U.S. energy sector will take a hit, likely putting a dent in GDP.

 

And a GDP hit likely translates to an impact on the already-growing unemployment rate. Using Okun’s law, a common rule of thumb for the relationship between gross national product and unemployment rate, the Deutsche Bank researchers worked out an updated economic forecast. “Our baseline parameterization,” the researchers wrote, “has the unemployment rate peak at over 17% in April — a new post-World War II high, before falling to around 7% by year end. Under a protracted pandemic scenario, the unemployment rate remains above 10% through all of 2020.”

 

What tech leaders should know

 

For one, expect less pricing power and lower margins. With the businesses shuttering across the country and high unemployment numbers, consumers by and large will have less to spend with. This could lead to supply surpluses, and in the world of tech, electronics manufacturers in particular will need to cut down on production, said Tony Nash, founder and CEO of Complete Intelligence. That will likely hit China, where a considerable amount of tech manufacturing still takes place, hard. As executives calibrate capacity and inventory, production runs will likely shrink alongside pricing power.

 

What happens in the U.S. may not affect a company as much as what happens in the global market. That could be especially true for tech companies with traditionally large sales volumes in Europe and Asia. Complete Intelligence’s machine-learning platform predicts that consumer price indexes in Europe will fall into negative territory later this year, but that deflation won’t hit the U.S. as hard as it will Europe and Asia.

 

“When China shut down, Apple had to shutter many of its stores, and Apple was one of the earliest companies in the country to feel the pain of the virus — because of the global output,” Kumar said.

 

COVID-19’s spread across the globe has come in waves, and that makes it difficult to predict its effect on the global supply chain. But experts say one time-honored strategy remains true: Diversification is key. And individual companies’ rates of recovery may depend largely on how localized their supply chains are.

 

That’s partly due to manufacturing delays that could stem from additional waves of the virus in other countries. But countries’ self-interests also play a role, Kumar said. “After 2008, many countries enacted protectionist measures,” he said. “And if they’re not able to import easily, first it’s going to increase the cost of our imports, and second, we might not even have the local capacity.” For example, there are almost no smartphone and laptop screens manufactured in the U.S.

 

We’ll also likely see tech companies prioritize different geographical supply chain footprints for future generations of products. Alongside this shift, tech giants will also likely take a harder look at which jobs they’re able to automate.

 

“We’re hearing more and more electronics manufacturers moving their manufacturing out of China, and what I’m seeing in data especially — at least for the U.S. — is moving to Mexico,” Nash said. “We don’t expect people to necessarily move their current generation of goods out of China, but as they move to new generations of goods, they’ll look for other places to de-risk those supply chains. So they may have an Asia version of that product that they continue to make there, but they may have regional manufacturing footprints for North America, for Europe and so on, so they don’t have to be as reliant.”

 

The shifts won’t just affect how things are made but also what’s being made in the first place. Necessity is the mother of all invention, as the old adage goes, and there’s a reason why so many side-gig-friendly platforms like Airbnb and Uber sprung from the last financial crisis.

 

And that’s not to mention the overhaul of how we work that many are already experiencing. We may see even traditional companies increase leniency on existing remote work and parental-leave policies, according to Kumar.

 

Conflicting recovery forecasts

 

Predictions of what recovery will look like are akin to trying to predict snowstorms in the summer.

 

Gro Intelligence CEO Sara Menker told Protocol that the U.S. could see a V-shaped recovery, similar to China’s, but that’s more likely the sooner recovery begins. Menker does concede that due to the two countries’ substantially different strategies addressing the pandemic, it’s difficult to know when we’ll be on the up-and-up again. One insight supporting the beginnings of recovery in China: the price of white feather broiler chickens. They’re a breed served almost exclusively in restaurants, and the prices now seem to be entering a V-shaped recovery after a precipitous decline. You can even track it against the reopening of Apple stores: Gro’s data shows white feather broiler prices in China started to rebound around March 6 and a clear price spike around time Apple stores reopened in China on March 13.

 

On the other hand, Orbital Insight CEO James Crawford predicts a more linear recovery, based partly on satellite imagery of roads in China’s urban centers. “In Beijing, for example, we’re not seeing a V-shaped recovery in traffic patterns,” he told Protocol. “It’s been very much a linear return, with less than half the cars on the roads now compared to pre-COVID activity levels. Although the evolution of shelter-in-place was and will be different stateside, businesses should plan for a gradual rebuild in activity as confidence grows among wary consumers.”

 

And, using global economic data like CPIs and predictions surrounding the strength of the U.S. dollar, Nash forecasts a slower recovery. “Whether you’re looking at equity markets or commodity markets, what we’re seeing from our platform is a slow return,” he said. Nash predicts volatility over the next four or five months along with the beginnings of a sustainable uptick in July — though, he said, that won’t necessarily mean a straight upward line, as there are a number of other consumption considerations involved: whether school will start again in the fall, whether football season will be reinstated, whether people can trick or treat in October, whether there are holiday parties in December. “That will define the rate at which we come back,” he said.

 

The true shape of the recovery to come is probably somewhere in the middle, according to Kumar. It’s likely too optimistic to expect a V-shaped recovery, but the more pessimistic prediction — several months of stagnation — “assumes that we can never get a grip on this disease, and given that social distancing seems to be broadly working, I think that’s too pessimistic,” Kumar said. And that’s not to mention the stimulus boost enacted by the federal government. The spark here wasn’t a financial system collapse; it was an economic shutdown. He predicts a more “checkmark-shaped” recovery, with a precipitous drop followed by a less steep, drawn-out upward slope.

 

But rolling back social distancing guidelines too early could sideline recovery as soon as it begins. Some scientists believe the potential impact of colder temperatures on the virus’ spread could lead to a second wave of infections in the fall, and even optimistic projections suggest a vaccine won’t be available until 2021.

 

“The uncertainty that we see in the health care crisis, you’re going to keep seeing in the economy,” Kumar said. “You can get sick very fast, but you’re going to recover much more slowly from your sickness. And that’s what’s going to dictate the economic pattern.”

Categories
Podcasts

Virus? What Virus? [Brexit’s impact, equities, coronavirus, etc.]

Brexit’s impact on the Sterling and tech stocks at nosebleed-highs are the subject of the day’s market discussion with Tony Nash, Founder and CEO of Complete Intelligence.

 

You forecasted that any loss in trade to be modest at best. Why do you say that?

 

“The nation tariff rate for non-EU member is something like 2.3%–2% on the price of anything is not going make a major difference. The trickier issue is the non-tariff barriers that Europe has. The UK has to navigate around those non-tariff barriers,” said Nash.

 

“In terms of country partners, the US is actually the largest trade partner of the UK. It’s around $67-68 billion a year. The second largest export partner in Germany at about $45 billion dollars. The EU as an aggregate partner is, of course, larger than the US. But the EU as a trade partner is stagnant. It’s not growing from the UK. It hasn’t grown noticeably since 2015/16. Meanwhile, the US is growing at a billion dollars per year.”

 

Where do you see the Pound this year?

 

“We’re seeing the Pound continuing to strengthen until about April. And once April hits, we see some of its strength tail off just a bit,” said Nash.

 

Listen to the Brexit’s impact podcast at BFM: The Business Station.

Categories
News Articles

The Woodlands Area Chamber of Commerce to Host Annual Economic Outlook Conference February 21

THE WOODLANDS, TX — The Woodlands Area Chamber of Commerce, the largest business association in Greater Houston, will host the 34th Annual Economic Outlook Conference on Friday, February 21, 2020, at The Woodlands Waterway Marriott Hotel and Convention Center.

 

This year’s conference, themed “Innovative Solutions in a Diverse Community,” will feature a community, national and economy update, a CEO panel focused on technology and innovation, and keynotes highlighting the projected growth of the economy in Montgomery County and beyond.

 

Tickets are on sale now at woodlandschamber.org/EOC for $199 and Chamber members receive a discounted price of $169.

 

“The Chamber’s Economic Outlook Conference not only features economic experts who share valuable information for business leaders about current events and the future of the economy, it also offers a business expo that provides sponsors and attendees the opportunity to engage in one-on-one conversations with more than 700 professionals,” Margo McZeal, director of governmental affairs for The Woodlands Area Chamber of Commerce, said.

 

Renu Khator, the University of Houston System Chancellor and the University of Houston President, will give a keynote presentation.

 

A highlight of the 2020 event includes an Innovation Panel where four CEOs will discuss how the latest trends in innovation are helping to solve economic issues. Panelists include Clint Brinkley, Your Business Solutions CEO; Ashok Gowda, Biotex, Inc. president and CEO; Tony Nash, Complete Intelligence founder and CEO; and Gabriella ‘Gaby’ Rowe, The Ion executive director will discuss how the latest trends in innovation are helping businesses to solve economic issues.

 

Read the rest of the press release at Woodlands Online.