US Consumers Retract in 4Q

Unnoticed in last week’s US 4Q data was the continued weakness in the consumer and government sectors. While the US business sector continues to recover from the SARS-CoV-19 collapse, other than residential construction and home repair, consumer and government spending appears exceedingly weak.

Half the 4Q 4.0% GDP increase was driven by consumer spending on healthcare. Without the health-related increases, personal consumption expenditure would have been unchanged from 3Q and the 4Q GDP increase would have been reduced to 2.2%. The very large 4Q increase in healthcare spending, from both for-profit providers and nonprofit organizations, appears to be, at least in part, driven by the pandemic.

Apparently bouncing back from last year’s shut downs, outpatient services experienced a strong rebound, returning to the levels of late 2019 and early 2020. Physician’s services and dental visits along with hospital and nursing home spending have all returned to prior levels. Such a rebound is not necessarily new consumer spending growth.*

A small, but still interesting piece of the 4Q health care spending increase, is the substantial increase in social services and client advocacy spending. It would not surprising that some of the 26M Americans suffering from COVID-19 – especially the elderly – have needed the services of advocates for their care. Further, many Americans – whether having contracted the disease or not – have been in need of mental health care.

With consumer spending outside healthcare spending flat, it was not surprising to see Friday’s report that personal saving in December rose to exceed October’s level and for 4Q personal saving to reach an astounding 13.4% of disposable personal income. With consumers remaining extremely cautious, both in mobility and spending, Friday’s report from the University of Michigan’s Consumer Sentiment survey of the fall in December sentiment was not surprising. Both the current conditions component and the future expectations component declined.

With this week’s employment report likely to show further January weakness, US growth enters 2021 on a very weak foundation. Adding to the weakness was the slowdown in federal, state and local 4Q spending. While much of the recent COVID relief has been in the form of aid to households and businesses, during a period in which relief and support are required, the government sector might have been expected to maintain its pace of spending growth.


* It remains a bit of a mystery as to why, with so many suffering from COVID-19, hospital spending fell so much through the middle of 2020. It is true that elective surgery was dramatically curtailed – if not completely eliminated. However, with nearly 800,000 COVID-19 hospital admissions over the past year, the expectation is that hospital spending might have increased not decreased, with capacity constraints necessitating the postponement of elective surgery. Anecdotal evidence suggests a large cadre of dedicated healthcare workers have been working very long hours to care for those suffering with the disease. It could be that there are significant reimbursement issues with insurance carriers expecting government assistance, thus, slowing hospital reimbursement, and clouding the data.

Consumers are Eager to Spend While Manufacturers are Struggling

US consumers are eager to spend but manufacturers are slow to – or cannot – respond.

Retail sales increased 1.9% m/m in September after a 0.6% m/m July increase. September gains were especially strong for autos, clothing and sporting goods. Even department store sales rose 9.7%.

Surprisingly, e-commerce sales – what the Census Bureau labels non-store sales – rose only 0.5% m/m in September and 0.2% m/m in August. However, y/y sales were up 23.8% in September and 22.8% in August. Perhaps e-commerce providers are running into capacity limits. Online sales are down almost 2% from May. Supporting the constraint hypothesis, Amazon last month announced the hiring of an additional 100K workers. The Amazon global employ population is approaching one million.

The September Industrial Production report also suggests manufacturers are constrained and are struggling to respond. Output in the industrial sector fell 0.6% m/m in September with declines across nearly all major categories. Apparently, the global supply remains crippled. With COVID-19 cases on the rise across much of the nation, it’s also likely manufacturers in some locations are impacted by virus related shut downs.

Last week’s initial unemployment benefit claims increase also suggests the challenge the business sector is facing. Without new data from California and Michigan – two of the largest states – claims increased 53,000 to 898,000 on a seasonally adjusted basis. The unemployment claims data should be viewed with caution as the states are concerned about the potential for fraud and workers submitting multiple applications. Nonetheless, the increase suggests increased employment tumult.

The economy’s supply side is struggling to find healthy workers, reinvigorate the global supply chain, and transform strategy and operations in a new world.

Policy Punchline Podcast on Digital Currencies

Policy Punchline is a podcast, created, produced, and edited by a group of very talented Princeton University students – led by Tiger Gao. The podcast promotes long-form dialogues on frontier ideas and urgent issues with scholars, policy makers, business executives, journalists, and entrepreneurs. 

Policy Punchline with Martin Fleming

The following is the portion of the Policy Punchline podcast on digital currencies.

“My punchline is that the Chinese are going to push hard over the course of the next couple of years. There’s a bit of a war here between maintaining the advantage that the U.S. has with the global currency and other nations trying to take advantage of the inefficiencies that exist and, shall we say, supplant the dollar.” 

Martin Fleming was formerly the IBM’s Chief Economist and the head of IBM’s Chief Analytics Office. His research focuses on artificial intelligence, the future of work, and digital currencies.

Q: Could you speak a little bit about your own research on digital currencies and IBM’s involvement with promoting blockchain cryptocurrency, and how it might compare to what other countries in Europe and China have already tried to implement?

A: The first distinction that I always try to make is the difference between a cryptocurrency, like Bitcoin, and a digital currency. Cryptocurrencies are typically used as a way of compensating developers who are contributing code in development projects. I think of those currencies as much more like a security which grows in value and allows one to accumulate wealth as a result. A digital currency is much more like cash or for transactional purposes – to be able to make transactions more efficient.

The challenge today is that when we want to make payments, particularly in the business sector, it’s a very inefficient process. Imagine that we have a very large ship that leaves Japan and arrives at Long Beach Harbor with 10,000 automobiles, and there are $5 million dollars-worth of payments that have to be made by the receivers of those automobiles to the manufacturer in Japan. It’s going to take three or four days for that payment to occur. That is, in effect, a 1% tax, reducing the value of that payment to the manufacturer. It’s a very inefficient process because every transaction takes three or four days to be completed.

A digital currency, on the other hand, is much more immediate. I can send the both of you an email, and you’ll get it in a few seconds. But, if I want to send you $10,000 dollars, it’s going to take four days. There is no real reason for that delay, other than the fact that there is a large number of incumbent bankers who generate a lot of a revenue as a result of the payment system, as all of this cash is sitting on various balance sheets overnight at various places.

Naturally, there is a reluctance to transform that business. Somebody is going to come along and figure out how to do this more efficiently and be able to competitively threaten the existing established players. Now, we do have banks like J.P. Morgan Chase who recognize this and have been quite active in creating their own version of a digital currency. That’s certainly a smart strategic initiative. But nonetheless, there’s certainly a great deal of reluctance to address that source of inefficiency.

However, along come a number of smaller countries and one not so small country – China – who are launching a digital currency. The challenge is, of course, that a very large proportion of the world’s transactions occur in dollars. If a digital currency is going to be really successful, it has to be a Federal Reserve digital currency because of the volume of transactions that occur.

Now, because the dollar is the world’s global currency, there are enormous advantages to those of us who live in the U.S. Our interest rates are lower, meaning we can buy homes and cars and all kinds of other products, and the business sector can borrow funds at lower rates. There is what has been referred to as an exorbitant advantage of having the dollar as the global currency. There’s a bit of a war here between maintaining the advantage that the U.S. has with the global currency and other nations trying to take advantage of the inefficiencies that exist and, shall we say, supplant the dollar. This is going to play out over an extended period of time, and I’m not sure anybody knows exactly yet where it’s all going to take us.

Q: Can you talk a little bit more about how the Federal Reserve might take control of or manage a digital currency? Bitcoin is, by nature, decentralized, and it also has an interesting taxation scheme where it’s treated more like an investment with capital gains. That’s probably not what the federal government would have in mind if they were to introduce a new digital currency.

A: There have been some very interesting proposals. For anybody who is really interested in this topic, Julia Coronado and Simon Potter at the Peterson Institute have a paper outlining exactly the kind of proposals that you’re asking about.

You can imagine the Federal Reserve creating a digital currency and putting on its balance sheet a third liability, in addition to reserves and cash, and it would look like an electronic version of cash. Then, they could make that available in various ways, either to banks, dealers, or even consumers and households. Now, that’s probably the most far-fetched idea and would be a very radical change, and it would require significant legislative change, but you can imagine that at some future point in time.

Q: When you talk about adding a third element to the balance sheet, does that mean a digital currency used by the federal government might have some kind of centralized ledger system? Or, will this still be something decentralized?

A: For a central bank digital currency, it would be centralized. It would sit on the central bank’s balance sheet, whether it’s here in the U.S. at the Federal Reserve or any of the other countries who are already doing this. That’s another difference between a digital currency and a cryptocurrency, which of course is decentralized.

Q: Do you see any serious technological vulnerabilities with something like a cryptocurrency that we might not have seen with minted money? Is there anything that maybe IBM could get involved with?

A: Of course, there are enormous issues, but there are security issues with physical currency as well. A very small proportion of one-hundred-dollar bills are circulating in the U.S. Most of it is used by other somewhat nefarious creatures around the world for various transactions. There are certainly security issues on both sides of this, and like any electronic transaction, there is always going to be the need to pay attention to cyber risk.

But, with respect to the larger question of the involvement of an organization like IBM, you can imagine that if the payment system today – that is being operated by the financial sector and the large financial institutions – switches over to a real time payment system with a digital currency, a vast proportion of their IT infrastructure would have to be fundamentally redesigned and changed.

Of course, for an organization like IBM, that would be a tremendous opportunity, but on the other hand, it would be a significant change that the banking system would have to go through in order to be able to accommodate real-time payments because they’re not set up to do that today. The rails that all of these transactions ride on are really based on this two-, three-day payment process.

Q: We quickly touched on some other economies around the world that might be implementing something like this. Do you feel that the U.S. or IBM has their eyes on any country in particular that might be piloting cryptocurrency right now?

A: The Monetary Authority of Singapore is probably the central bank that has been the most active and ambitious in this space. Now, China, of course, has announced a digital currency and has begun to launch a currency, so they are very active as well, in a much more limited fashion in terms of its use and its circulation. There are other nations that are beginning to look at this work – other South Asian nations and Middle East nations – and there are a number of smaller central banks that are building capabilities in this area. Somebody is going to figure this out at some point and it will change the way we do things.

Q: One thing that came to my mind after hearing the distinction you made between cryptocurrency and digital currency mind is Facebook’s Libra. Zuckerberg even went to Capitol Hill and testified, and there was so much the opposition, not just from U.S. lawmakers, but also even from European lawmakers and the Bank of International Settlements (BIS). I suppose that’s where the clear distinction comes in: do you think that in our future, a digital currency that is managed by the government – and that helps with transaction and payments – will probably make our life easier, whereas something that is controlled by a corporation will likely not make people feel safe enough to give their money to?

A: Facebook, of course, faces their own challenges. Some of us are old enough to go back to a time in 2004 when we clicked on the “I Agree” button on Facebook and didn’t really know what we were agreeing to. Facebook probably didn’t know what they were asking us to agree to either, and subsequently have used all of our private information in many different ways, some good and perhaps some not so good.

It’s a bit of a reputational issue that Members of Congress have with Facebook. They are quite explicit in saying that they didn’t understand the privacy implications when we were joining the Facebook global network, and they’re certainly not going to repeat that if and when Facebook begins to be part of a group launching a digital currency. So, the regulators are taking a very active role because of the use of private information in the past. They’re not going to be fooled again.

Q: Do you have an expected timeline for when we should expect to see the implementation of a digital currency system?

A: It’s really difficult to know. Certainly, the Chinese are going to push hard over the course of the next couple of years. The Federal Reserve has announced a plan to have a real-time payment system of sorts, which is a good first step. The Bank of England has a real-time payment system that they’re implementing.

It’s going to depend on where the pressure comes from and who’s willing to respond, but I don’t believe it’s going to happen quickly. One way to think about this is that the British pound was the global currency for a very long period of time, and early in the 20th century, the dollar became the world’s global currency. These cycles last a long time. Now, we’re talking about technology and a digital currency, so the cycles are probably not nearly as long. But nonetheless, the unit of measure is probably centuries: we don’t know whether it’s a quarter of a century, a half a century, or a full century, but it’s not years. These things happen over a long period of time.

Policy Punchline Podcast on AI and Automation

Policy Punchline is a podcast, created, produced, and edited by a group of very talented Princeton University students – led by Tiger Gao. The podcast promotes long-form dialogues on frontier ideas and urgent issues with scholars, policy makers, business executives, journalists, and entrepreneurs. 

Policy Punchline with Martin Fleming

The following is the portion of the Policy Punchline podcast on AI and Automation.

“My punchline is we may be only four or five percent of the way down a path that’s going to take 20 or 30 years for us to fully take advantage of the capabilities. The notion that artificial intelligence is about to take over the world is nonsense. It really misses the challenge and the difficulty that organizations face in deploying these kinds of solutions.” 

Martin Fleming was formerly the IBM’s Chief Economist and the head of IBM’s Chief Analytics Office. His research focuses on artificial intelligence, the future of work, and digital currencies.

Q: In your recent report, “Cognitive Enterprise,” you encourage businesses to rip up the playbook and make changes within their organization to accommodate the introduction of AI. How exactly can AI help businesses grow? Many criticize AI for overpromising its capabilities, and it’s mainly helped in areas such as marketing analytics but has done little in medical diagnosis, for example.

A: I’m sure that all of the listeners to the podcast today have used artificial intelligence. The simplest artificial intelligence application is when you’re typing a text message and your phone predicts the word that you’re trying to type. That is a small, simple artificial intelligence machine learning application.

Any application that is attempting to help you and predict the outcome of the action that you’re taking is, in principle, a machine learning or an artificial intelligence application. Another example is when Netflix makes a recommendation to you as to what video you might like to watch. The people at Netflix have done a great deal of artificial intelligence work to be able to provide that recommendation to you and hopefully improve your satisfaction with their service and enjoy whatever video you end up selecting. It’s all about helping to make decisions and producing better quality outcomes.

Q: You hear a lot of fantastic stories about companies like Google and Amazon reaping the benefits of AI, but are there any more conventional “brick and mortar” establishments or sectors that might not have embraced AI in the past, but that might benefit from its implementation in the future?

A: You’re right that a lot of the early applications have been in the technology industry. A close cousin of the technology industry is the financial services industry, where a lot of AI applications are beginning to emerge. These applications range from making personal finance recommendations to consumers to making recommendations to investors. Likewise, in insurance, many of the large property and casualty insurance firms are attempting to help both themselves and consumers by making better decisions.

A smaller area is the pharmaceutical industry, where a lot of pharmaceutical research is being done by data scientists using the applications of AI to look at the chemical compounds that come together to produce new drugs. Using the traditional physical efforts is a time-consuming process, and a number of the potential combinations can be eliminated through the use of artificial intelligence, helping the pharmaceutical firms arrive at a successful combination of compounds more rapidly. These are some of the areas where we’ve already seen some applications, and the work is continuing.

We’re on a long path here. We may be only four or five percent of the way down a path that’s going to take 20 or 30 years for us to fully take advantage of the capabilities. The notion that artificial intelligence is about to take over the world really misses the challenge and the difficulty that organizations face in deploying these kinds of solutions.

Q: If automation is fairly easily accessible for employers, and if it’s harder to bring employees back to work due to Covid-19, do you think employers may simply choose to automate the jobs and not bring workers back? It seems that this would be especially likely if the government subsequently chooses to raise the minimum wage or raise corporate taxes in the aftermath of Covid-19, as some labor economists have argued.

A: Automation doesn’t happen like that; it’s just not how it works. When businesses automate a business process, they first ask, “do we need the talent?” They need the data scientists; they need the developers; they need the folks with business acumen and strategy skills so that they can understand the business process.

Second, the business process has to be transformed. If the process is not working and a company wants to introduce some automation, it shouldn’t attempt to transform the process through automation. Rather, it should introduce the automation in the process of transformation. Third, companies have to change the behavior of individuals. It becomes a change management challenge, because nobody likes to have to change the way they do things.

All of that – the talent, the business process, the transformation, the change management – has to happen after the technology has been put in place. The shift is difficult. I would assert it’s not the most difficult piece of it, but it is still difficult nonetheless. Even a large organization like IBM thinks of itself as having dozens of business processes, all needing to be transformed. It doesn’t happen quickly. It takes time to do all of this change that’s occurring. You can’t just snap your fingers and wish for it to change. It’s real work.

Q: Where do you think data science and AI education should begin? Has IBM focused on changes in college education? What about on the high school level?

A: There are certainly high school students that are learning how to code in Python, which is a great first step. We’re seeing more and more of that. One of my roles at IBM is to lead the data science profession, and one element of the data science profession is a certification that we’ve created with an outside third-party group, so that those who get certified within IBM will also have that recognition externally.

We’re now in the early stages of working with two universities to begin to introduce that certification capability into their academic programs, so that students who are studying data science can earn a certification and learn about the recruitment and hiring process. We’re beginning to see more and more of that activity at the undergraduate level.

Q: When we interviewed Iwao Fusillo, the chief data officer at the NFL, he said that there will be more chief data officers who take on CEO roles in the future. Satya Nadella at Microsoft, Sundar Pichai at Alphabet, Shantanu Narayen at Adobe — and just recently from April onwards, Arvind Krishna at IBM… These are four Indian-born executives who were trained as engineers and rose through the ranks in technical positions. Their backgrounds are very much different from the stereotypical corporate America managers’ background – in sales and general management after receiving MBA degrees – such as Ginni Rometty, IBM’s previous CEO for the last eight years. Do you think we’re seeing a fundamental sea change, such as tech companies, or even companies in general, are better managed by people trained in more technically competitive backgrounds? In the age of “Big Data,” can you really manage a corporation well without knowing the tech yourself? 

A: Absolutely. The combination of data science and business acumen is really what we’re looking for in data science. Now, there is no Renaissance person who has the whole package of skills, so you have to team people together. But, over time, we hope to develop those skills so that the folks who bring the data science skills can learn the business skills, and the folks who come with the business skills can learn the data science skills. We all have our strengths and limitations, and through experience, a company can help to even those things out.

Q: You spoke about how AI is beginning to take hold in emerging economies. How will these advancements affect workers in developing countries? What about lower-income workers in developed countries?

A: That is an interesting question because the technology could possibly have a differential impact across different regions of the world. In the United States, Western Europe, and Japan, the impact has been more on the mid-wage workers. We use the term job polarization, where the low wage and the high wage workers are where more employment is appearing, and it’s the middle wage workers that have lost employment share.

In the developing and emerging market world, where low cost labor has been important, many of these low-cost roles are perhaps more easily automated. One example is call center work, which we see quite a bit of in a country like India. As more and more natural language processing capability, both for voice and for text, becomes available, there is likely to be less demand for call center workers across many of these countries.

So, the impact could be quite different across different geographies. In the U.S. and Western Europe, it will likely be more of an issue around the distribution of income and wages, particularly for middle income workers, whereas in emerging market economies, it may be more of an issue of the share of employment for low wage workers.

Policy Punchline Podcast on the Post-Pandemic Era

Policy Punchline is a podcast, created, produced, and edited by a group of very talented Princeton University students – led by Tiger Gao, The podcast promotes long-form dialogues on frontier ideas and urgent issues with scholars, policy makers, business executives, journalists, and entrepreneurs. 

Policy Punchline with Martin Fleming

The following is the portion of the Policy Punchline podcast on the post-pandemic era.

“My punchline is that we’re very likely to see very dramatic policy change and transformation over the course of the next several years….That’s part of what we’re seeing in the streets today…. [T]he people are singing in the streets, and there is now enormous pressure for change. What we’re seeing in America this summer might be akin to the French revolution.” 

Martin Fleming was formerly the IBM’s Chief Economist and the head of IBM’s Chief Analytics Office. His research focuses on artificial intelligence, the future of work, and digital currencies.

Q: You’ve written a lot about the future of work and how it will be impacted by AI. The Covid-19 crisis has somewhat caught us off guard, forcing many workers to transition to working from home. Has Covid-19 disrupted any of the trends that you were previously predicting?

A: It really has created an enormous opportunity for transformation. Working from home is one example, but if you think a bit more broadly, consumers are looking to make decisions in a fundamentally different fashion.

There has been a lot of fear and anxiety about the spread of the virus. One piece of data to help to bring home the point is that in the month of April in the U.S., 33% of all the income earned was saved. This reflects fear and incredible caution. The savings rate is usually in the order of 6%. We’ve already seen the attitudes of consumers shift quite significantly, and it’s going to take time for all of that to unwind itself.

Ask yourself the question, are you seeing folks attending large events, sporting events, or theaters? I think the answer is no. College students are the exception, as they are still gathering in large crowds, but that’s not happening with most of the rest of the world. All this to say, consumer purchasing has been dramatically impacted by all of this, and it is going to take time for that to unwind.

Q: On the topic of the future of work, we saw that the Fed released a report that said the unemployment rate at the end of the year was expected to be 9.3%, which is a huge number we haven’t seen in a very, very long time. And you had released your own work on the future of work in 2019 when Chairman Powell was commenting on the first tight labor market the U.S. had seen in years. So, now with this sudden transition, what would your thoughts be on how the next few years might shape out?

A: We are going to see the global economy struggle over the next few years. You have to first begin by having a view about public health conditions and you also have to separate public health from healthcare. Healthcare would be care delivered in a physician’s office or hospital setting which of course matters in this case because the capacity of the system to deliver care is the constraint that policy makers face in the presence of Covid-19. Public health is around epidemiology and virology and understanding the virus and the spread of the virus and where that might be headed into the future.

Our view is that it going to take time for the global population to develop sufficient immunity for the virus for no longer to be a threat. The virus will never completely go away like many other viruses we have seen before. So, we can hope over the next three or four years there will be sufficient immunity, probably as the result of a vaccine, that will mean that the virus will no longer impact our lives on a daily basis.

So, the question is how are we going to reach that immunity and how long will it take? It’s probably not going to be herd immunity and we are probably going to have to get a vaccine to be distributed worldwide. Billions of people will have to be vaccinated to build up that immunity and that will take time. Having a vaccine developed in 12-18 months would be a record pace, and even then, the vaccine would have to be manufactured in large quantities and deployed through the healthcare system.

The reason why I take you through all that is because it impacts the economic outlook. We recently got a forecast that was published by OECD, which is expecting a recession in the second half of 2020 and the beginning of 2021. This would be caused partly by the continuing of waves of infections. Workers are fearful to return to work and consumers are fearful to leave their homes. This effects the supply and demand of the labor market and we can see its driven by the public health outlook.

Q: Do you foresee the COVID-19 pandemic leaving long-lasting impacts on the economy?

A: Economic shocks have, unsurprisingly, a significant impact on global economic activity. I’m sure many of your listeners will have learned about the great financial crisis of 2008 and realize that in the subsequent 10 years since that time, the global economy, and in particular the U.S., has really been quite disappointing in terms of productivity growth, wealth accumulation, and increased income inequality.

It turns out that economic shocks of the magnitude of the great financial crisis quite often have these persistent effects where disappointing or subpar growth conditions exist for an extended period. We can look, for example, way back in history to the 1970s, when there were two very large oil price shocks, both of which were followed by recessions and then both of which subsequently were followed by very weak economic growth.

You are probably familiar with the “China shock.” David Autor at M.I.T. has done a lot of work with his colleagues on the impact that the entrance of China into the global economy and its emergence as the world’s factory has had on many parts of the United States. Not only have we seen job losses, but we’ve seen quite dire social consequences, like opioid addiction, increased incarceration rates, suicides, and divorces. It is an economic shock that has had quite deep and profound social consequences.

However, not all economic shocks result in such pessimistic or poor outcomes. If you think about what happened during the Second World War in the United States, industry and manufacturing converted on a massive scale to wartime production. The auto industry was producing military vehicles. There were clothing manufacturers who were producing uniforms and equipment. Even an organization like IBM converted production to produce weapons that were needed by the military. There was enormous disruption to economic activity.

There was a large military that was built. Many young men joined the military, learned new skills, learned new behaviors, new ways of living, became much more disciplined in their lifestyles. And, of course, many women who weren’t in the military, went out to work because the men who left had to be replaced by the women who stayed home. When all of this came to an end, with all this skill that was built up through the experience in the military, through the experience in the workforce, and the benefit of the GI Bill, there was an enormous increase in the education level of the workforce. The transformation of the manufacturing sector and all the skill that was built up resulted in a period of very strong economic growth.

The key is when economic activity was disrupted, businesses did no return to their old ways. They found new ways with new technologies, new manufacturing processes, and new facilities combined with the new skills that workers had acquired. The resultant transformation contributed to a 30 year period of very strong growth.

Of course, there was also the Cold War, during which the enormous investment in the space program and in the military created considerable intellectual property and intellectual capital, which also added to growth. One quick example that I find quite interesting is that one of the reasons why cell phones work so well today is because of data compression. There were enormous advances in data compression in the space program in the 60s and the 70s because data was being transmitted over such vast distances in outer space. Data compression became very important and has now led to enormous innovation that we are still continuing to realize all of these years later.

So, that’s an example of a shock – a military, World War shock – that then led to enormous, enormous growth. We can debate the causality, but it’s quite an interesting coincidence as to how all of this happened, with industry transforming from the old way to the new way, new skills, new technology, and new intellectual property being developed.

My question is, “is the pandemic a shock of equal magnitude?” And if we’re going to go through this for three or four years and we’re going to disrupt our lives and be forced to find new ways to do things, is that going to result in some very positive outcomes in terms of growth, productivity, income growth, wealth, and perhaps even more or less unequal distribution of income? Those are some of the questions that we have begun to think about.

Q: Returning to what you mentioned earlier about the magnitude of the current pandemic crisis, have any other economists mentioned any opinions that are contradictory to yours on what they think about this crisis?

A: I haven’t heard any yet, but I think it’s only because it’s too soon. We’ll have as many opinions as we have economists on this topic, I’m sure, before too long. However, when we talk with C-level executives who are leading large organizations, they’re really focused on two real priorities.

The first priority in all of these discussions is the health and safety of their workers and their workers’ families. For all the criticism that business leaders and the business sector get, it has really been quite heartening to see the real genuine concern that business leaders have over the health and safety of their workforces.

The second is the notion of this longer-term transformation. I would say that most leaders don’t have a firm or clear view as to where that transformation is headed or what it might look like. But, intuitively, they believe that the kind of disruption that we’re experiencing is going to result in significant change over a period of a few years. It’s still a bit nascent, but nonetheless, there’s a recognition that we’re in for some fairly significant change.

Q: Is there anything else that is going on in your mind that you think we haven’t touched on? Anything interesting that you think might be good for our listeners to know?

A: I think the topic of interest for me at the moment is the topic that we’ve spent time on: what is it that will follow the pandemic? The virus is not going away. We, as humans, develop immunity to them. The question is, how long is it going to take to develop enough immunity that we can return to a life where we don’t have to be concerned with social distancing and wearing masks. That day will come, but it’s going to take time. And when that day arrives, what will the world begin to look like? What will the transformation begin to be? Will it be more of the same or will we see some fundamental differences?

Q: Since the name of our show is Policy Punchline, we have to ask: what’s your punchline here for the show?

A: My punchline is that we’re very likely to see very dramatic policy change and transformation over the course of the next several years. In the U.S., it is more likely to occur under a Biden administration, perhaps less likely to occur under a second Trump administration.

That’s part of what we’re seeing in the streets today. There are riots, protests, and a reaction to the racism and bigotry that we see. But I think a lot of the reaction that we see in the streets is also reflective of much greater pressure in terms of not only the pandemic, but the disappointing economic performance in general.

From Les Misérables, there’s this the famous song “do you hear the people sing?” Well, the people are singing in the streets, and there is now enormous pressure for change. What we’re seeing in America this summer might be akin to the French revolution. That is where the policy punchline comes. What are the changes that we’re going to see in policy as a result of all of this pressure that has built up, not just, importantly, in the racial sphere, but also for workers and from a labor market perspective, as well as campaign finance and the role of money in government? I think that we’re going to see some quite significant change.

There probably will not be any presidential candidates promising the voters of America radical change, because that’s probably not a good way to get elected president. But ultimately, I think that’s what’s likely to emerge, and it’s in part a reflection of what we’re seeing in the streets today.

Banks, Helped in the Crisis, Face Substantial Future Challenges

Profits at US banks have tumbled, their share prices are underperforming, and their leaders sound grim. However, long-term investors have found new sources of optimism. Compared with the overall equities market, bank shares have traded at lower multiples since the financial crisis. They have been punished as if investors expect any economic trouble to expose underlying problems.

Conversely, investors have run to stocks such as Amazon, Netflix, Apple and Microsoft, who have all benefited from social distancing and stay-at-home orders.

With vaccines unavailable until early 2021, vaccination at scale requiring many months, and wide-spread immunity lagging, growth will lag while income and employment will remain well below its pre-pandemic trend for quarters, if not years.

Consequently, the Federal Reserve has slashed interest rates and has said it expects to keep rates low for the next two years, which will hurt banks’ lending margins. Businesses and consumers are stressed, meaning outstanding loans look riskier. The current stand-off among fiscal policy makers, if it continues, will only worsen the outlook. See my most recent blog post here.

With the Fed having added $3.0 trillion of liabilities to bank balance sheets, lending has exploded. The impact on equity prices are plain to see. However, values in every segment have appreciated as well. High yield bonds and municipal bonds are two recent examples. In addition, beyond the provision of reserves, the very large collection of programs the Fed has launched over the past six months have supported nearly every market segment. Unfortunately, not all borrowers are creditworthy. Many will not make it – the zombies. Banks and other lenders will eventually feel the pain.

As a result, the pressures on financial services sector firms to transform are strong now, but will be immense in the period ahead. Banking services with even greater technology content can be expected. Fintechs focusing on innovative, new services – and staying clear of new forms of lending – will increase the pressure on the traditional players.

Retail banking services can be expected to make much greater use of artificial intelligence and machine learning to anticipate consumer borrowing needs, bill paying requirements, and investment opportunities.

The widespread and increasing use of mobile banking – growing out of the pandemic – means that consumers are now much better positioned to benefit from technology’s guidance, improving income and wealth opportunities. While branch banking and branch bank employees have generally increased over several decades, despite increased automation, the curve is finally bending and the branch bank physical footprint is beginning to shrink.

The payments opportunity is very likely the largest opportunity, accounting for 40% of bank income. The Federal Reserve has just announced the details surrounding its FedNow program. See Lael Brainard’s remarks here. The Fed is following a similar effort by the Bank of England. Other central banks will follow as well. FedNow’s focus on retail payments is on the smaller and less competitive side of the market. The true battle will be for enterprise payments. The large banks will fight to the death for the enterprise payment opportunity.

In a related development, the Boston Fed is collaborating with researchers at MIT in a multiyear effort to build and test a hypothetical central bank digital currency to understand the potential and risks that new technologies present to payments. See last week’s remarks from Lael Brainard here.

While the support provided by the Fed has cushioned the blow in the current crisis, the adjustment over several years will be painful. However, if technology and innovation is allowed to flourish, which has been the subject of its own debate, the economic benefits could be substantial.

Now Is Not the Time for False Austerity

The president and congress are about to lose their starring economic policy role with a repeat of the unforced errors committed in 2011when Mark Meadows’ Tea Party drove a sharp switch to austerity. The result was an 9-year journey back to full employment.

Congress, the president, and the Federal Reserve, along with healthcare providers, have so far been the heroes of the pandemic response. However, the failure to gain agreement for the next phase of economic support places the hoped-for recovery at even greater jeopardy than it already is. Lacking a vaccine and without an ability to stop the virus’s spread, consumer spending and income growth are at risk of turning negative.

In the months of March to June, when the pandemic as at its worst, government assistance programs replaced 98% of destroyed income that resulted from collapsing consumer spending, exploding precautionary saving, and disappearing jobs. Importantly, 80% of the assistance was provided by newly created programs – e.g., pandemic unemployment compensation payments, Paycheck Protection Program, and the economic impact payments to individuals.

With 2020 wage and salary income having fallen 6% between February and June and with the savings rate having increased from 8% to 19%, personal outlays fell by 7%. The result was the skyrocketing of the unemployment rate to 14.7% in April.

Current consensus consumer spending forecasts for the balance of 2020 indicate an equally large hole to fill, even as growth recovers. After a 7% 1Q decline and a 35% 2Q decline, a 28% 3Q increase and a 6% 4Q increase will still leave consumer spending in 2H with just as large a hole to fill as in 1H.

Including the consensus forecast in the figure below, the area between the solid and the dashed lines can be thought of as the lost jobs and income from consumer spending falling substantially below its previous trend. With the unemployment rate at 10.2% and coronavirus raging, renewed austerity is setting up a repeat of the 2010’s when nine years were required to move from 2011’s 9% unemployment rate to a 3.5% unemployment rate in 2019.

Now, as was the case a decade ago, the same set of policy makers appear to hold sway. After the 2010 congressional election, the Tea Party, led by Mark Meadows, forced a series of budget compromises that drained the momentum from growth. The austerity induced policy changes were important contributors to a decade of disappointing income and productivity growth.

In 2011, although there is no immediate pressure on Treasury debt financing, policy makers, responding to Tea Party pressure, attempted to tackle the deficit aggressively.

While it is a worthy debating point that smaller government might be good for growth over the very long run, flash austerity would be a tremendous gamble in the current economic and public health environment. With interest rates near zero and with experience teaching that following shocks like the 2020 pandemic, hysteresis – persistence of initial conditions – will very likely severely limit employment gains.

Ironically, President Trump’s instincts are right. Despite the ineffectiveness of his proposed actions this weekend, more needs to be done. Now is not the time for false austerity.

With Very Targeted Job Gains Unemployment Falls

At 10.2% in July, the unemployment rate remains painfully high. With 16.3M workers unemployed – available, looking for work & receiving unemployment benefits – and 14.3M receiving special pandemic benefits, 31M workers remain idle. However, there is some good news but the gains were very targeted.

Six of the industries hardest hit over the past six months saw substantial employment increases. In fact, the “recovering six” account for nearly 78% of July’s 1.8M net new jobs. As many regions came back to life during July, the restaurant and food service industry added 502,000 jobs and the retail sector added 258,000 jobs. Clothing and apparel stores saw the largest gain with 121,000 jobs added. Despite a continuing shortage of teachers – fearful of contracting COVID-19 – public and private education jobs increased by 239,000.

Similarly, physicians’ offices, dentist offices and ambulatory care centers added 126,000 jobs while the personal services sector – e.g. laundry and dry-cleaning services, pet care services, and home care services – added 119,000 jobs. Temporary help jobs increased by 144,000.

Beyond the “recovering six”, there were also notable gains in the auto and airline industries. The auto industry added 39,000 jobs, accounting for the entire manufacturing sector gain. Aside from these gains, the sector lost 13,000 jobs. The airline industry added 16,000 jobs, but airline jobs remains down 110,000 from a year ago. There were also 20,000 jobs added in ground transportation – Uber, Lyft, etc. – but still down 158,000 jobs from last July.

Of course, it’s still early in the month of August so it remains to be seen how the month unfolds. However, it appears another 1.0M to 1.5M jobs could be created with the unemployment rate falling by 0.5 to 1.0 percentage points.

The Surprises Hidden in the 2Q GDP Data

The 32.9% GDP 2Q decline was hardly surprising. Many of us forecast such a decline at the outset of the quarter. There are, however, two aspects of today’s report that are surprising.

First is the 45% increase in disposal personal income. The entire increase is from the $2.5 trillion 2Q increase in government program spending – unemployment compensation, tax rebate stimulus payments, and the Payroll Protection Program. Without the income support, 2Q personal income would have fallen 24%.

If you believe that discretionary fiscal policy can have a positive impact on the lives of families and households, Congress and the Trump administration has clearly responded as needed in a time of crisis. For all the criticism that political leaders receive – much of it justified – the economic policy response to the pandemic has, thus far, been outstanding.

The second surprise is the continued personal savings increase. The 2Q savings rate was an astounding 26%. Presumably, lower- and middle-income households receiving government assistance are not saving their entire payments. So, consumers, even high-income households, have boosted saving and are very reluctant to spend. Even in June, when many of the lockdowns were lifted, the savings rate was still about 23%.

The huge increase in savings is the best measure of fear and precaution. Consumers have been broken by the pandemic experience and will likely continue their conservative spending ways well into next year.

Avoiding Future Public Health Disasters

The profound failure of much of the world’s public health infrastructure during the coronavirus pandemic has resulted in the loss of tens of millions of jobs and untold financial losses for both families and businesses.

The science of public health, and those working in the profession who are responsible for detecting, preventing, and responding to infectious diseases including contagious pathogens such as CoV-SARS-2, have not responded when the world was most in need.

By contrast, healthcare professionals have been the heroes of the pandemic. Physicians, nurses, clinicians, and hundreds of thousands of support staff have put their lives at risk to save the lives of others.

Sadly, a lack of investment by governments across North America and western Europe as well as dysfunction among the world’s leading public health organizations has resulted in a substantial failure to protect the world’s population. The problem has been made more complicated because leadership from every nation’s chief executive is required in moments of public health crisis.

For the global business community, the public health infrastructure is as vital as is the transportation, energy, and communications infrastructure. Just as the presence of the US Navy in the western Pacific for the past century – the national defense infrastructure – has assured the functioning of global supply chains – making consumer products plentiful and cheap – defending the health of workers and their families is vital for economic success.

Many Asian nations realized the importance of leadership and public health at the outset of the pandemic. Nations such as Australia, China, Hong Kong, Korea, Singapore, and Taiwan acted quickly and repeatedly to gain widespread compliance with healthy practices and control COVID-19 infection. Strong national leadership has been highly correlated with successful infection management. Germany is another case in point.

While some European leaders have provided forceful leadership, in the US, UK, Russia and Brazil leaders have largely failed to prevent the infection’s spread. Making matters worse, many public health professions, despite their own predictions of the likelihood of a global pandemic, believed that wealth hardens societies against epidemics. Western quality of life – food, housing, water and healthcare – was thought to be effective in preventing pandemics in the developed world.

When the pandemic did arrive, the public health infrastructure lacked the necessary protective gear and materials for testing. Shockingly, many public health leaders and nearly all political leaders failed to appreciate how rapidly the virus would spread. Conflict among the leading governmental agencies responsible for managing the pandemic – the World Health Organization (WHO), the US Centers for Disease Control and Prevention, and the European Centre for Disease Prevention and Control – further slowed the response.

The current pandemic should not have been considered a surprise. It is the eighth such threat the world has faced in 17 years. SARS-Cov-1 appeared in 2003 while strains of the Avian flu created significant pandemic threat in both 2004 and 2005. In June 2009, the WHO declared the new strain of swine-origin H1N1 as the first 21st century pandemic.

Since 2012, an outbreak of Middle East respiratory syndrome (MERS) coronavirus has affected several Middle Eastern countries, while the 2013 – 2016 Western African Ebola virus epidemic was the most widespread outbreak in history. In early 2015, a widespread epidemic, caused by the Zika virus in Brazil, spread to other parts of South and North America as well as several islands in the Pacific, and Southeast Asia.

In addition, the current SARS-Cov-2 pandemic was foreshadowed by a 2015 TED Talk given by Bill Gates as well as by a 2019 US Directorate of National Intelligence report.

Perhaps the greatest failing has been the lack of a testing infrastructure. Testing is necessary, not only for the health of individual patients, but also to track, monitor, and predict the shifting outbreak profile. The required processes and procedures are well known, but governments have generally failed to make the necessary investment.

The science of public health has a long and successful history. Most cities, towns, states and provinces long ago established the needed capabilities. Successful public health initiatives have included the delivery of vaccinations for polio and tuberculosis, smoking cessation, and the control of STDs. With the recognition the current coronavirus is not the first and very likely not the last the world will face, advocacy from the global business community is clearly needed to minimize the possibility of repeated disaster.