Showing posts with label Technological Revolution. Show all posts
Showing posts with label Technological Revolution. Show all posts

Tuesday, November 3, 2020

2/11/2020: Technological Deepening and De-globalization post-COVID

Interesting insights from McKinsey on changes in technology adoption in response to COVID19 pandemic:


In the ed, I marked two types of technological frontier shifts: the ones relating to displacement of status quo-ante in supply chains - re-orientation from China; and the ones relating to technological deepening. Both are the legacy of the U.S. political and economic shift toward de-globalization. 

Tuesday, May 16, 2017

16/5/17: Technology: Jobs Displacement v Enhancement


Technological innovation is driving revolutionary changes across the labour markets and more broadly, markets for human capital. These changes are structural, deep and accelerating, and, owing to their nature, are not yet sufficiently understood or researched.

One theoretically plausible aspect of the technological innovation in terms of human capital effects is the expected impact of technology on demand for (and therefore supply of) different occupations. For example, we know that technology can act as a complement to or a substitute for labour.

In the former case, we can expect advancement of technology to create more jobs that are closely linked to enhancing technological innovation, deployment and productivity. In other words, we can expect more geeks. And we can expect - given lags in education and training - that as demand for geeks rises, their wages will rise in the short run before falling rather rapidly in the longer term.

In the latter case, there is a bit less certain, however. Yes, technology’s primary objective is to lower costs of production and increase value added. As a result, it is going to displace vast numbers of workers who can be substituted for via technological innovation. However, not all substitutable workers are made of the same cloth and not all technological innovation is capable of achieving unambiguous returns on investment necessary to sustain it. Take, for example, an expensive robot that costs, say, USD 600.000 a pop, but can only replace 3 lower skilled workers in a laundromat, earning USD16,000 per annum. So with benefits etc factored in, the cost of these 3 workers will be around USD70,000 per annum. It makes absolutely zero sense to replace these workers with new tech at least any time before the tech systems become fully self-replicating and extremely cheap. So, for really lower skills distributions, we can expect that jobs displacement by technology is unlikely to materialise soon. But for mid-range wages, consistent with mid-range skills, there is a stronger case for jobs displacement.

All of which suggests that we are likely to see a U-shaped polarisation process arising when it comes to jobs distribution across the skills segments: higher wage segment rising in total share of employment, as complementarity effects drive jobs creation here; and the lower wage segment also rising in total employment, as robots-induced increase in value added across the economy translates into greater demand for low-skills jobs that cannot be efficiently displaced by technology, yet. In the middle, however, we are likely to witness a cratering of employment. Here, the workers are neither complementary to robots, nor are they earning low enough wages to make expensive robots non-viable as a replacement alternative for labour.

Interestingly, we are already witnessing this trend. In fact, we have been witnessing it since the early 1990s. For example, Harrigan, James and Reshef, Ariell and Toubal, Farid paper titled “The March of the Techies: Technology, Trade, and Job Polarization in France, 1994-2007”, published March 2016, by NBER (NBER Working Paper No. w22110: http://ssrn.com/abstract=2755382) looked into “employee-firm-level data on the entire private sector from 1994 to 2007” in France.

The authors “show that the labor market in France has polarised: employment shares of high and low wage occupations have grown, while middle wage occupations have shrunk.” So the story is consistent with an emerging U-shaped labour market response to technological innovation on the extensive margin (in headcount terms). And more, the authors also find that inside margin also polarised, as “…the share of hours worked in technology-related occupations ("techies") grew substantially, as did imports and exports.”

However, the authors also look at a deeper relationship between technology and jobs polarisation. In fact, they find that, causally, “polarisation occurred within firms”, but that effect was “…mostly due to changes in the composition of firms (between firms). [And] …firms with more techies in 2002 saw greater polarization, and grew faster, from 2002 to 2007. Offshoring reduced employment growth. Among blue-collar workers in manufacturing, importing caused skill upgrading while exporting caused skill downgrading.”


Saturday, September 3, 2016

3/9/16: Fintech, Banking and Dinosaurs with Wings


Here is an interesting study from McKinsey on fintech role in facilitating banking sector adjustments to technological evolution and changes in consumer demand for banking services:
http://www.mckinsey.com/business-functions/risk/our-insights/the-value-in-digitally-transforming-credit-risk-management?cid=other-eml-alt-mip-mck-oth-1608



The key here is that fintech is viewed by McKinsey as a core driver for changes in risk management. And the banks responses to fintech challenge are telling. Per McKinsey: “More recently, banks have begun to capture efficiency gains in the SME and commercial-banking segments by digitizing key steps of credit processes, such as the automation of credit decision engines.”

The potential for rewards from innovation  is substantial: “The automation of credit processes and the digitization of the key steps in the credit value chain can yield cost savings of up to 50 percent. The benefits of digitizing credit risk go well beyond even these improvements. Digitization can also protect bank revenue, potentially reducing leakage by 5 to 10 percent.”

McKinsey reference one example of improved efficiencies: “…by putting in place real-time credit decision making in the front line, banks reduce the risk of losing creditworthy clients to competitors as a result of slow approval processes.”

Blockchain technology offers several pathways to delivering significant gains for banks in the area of risk management:

  • It is real-time transactions tracking mechanism which can be integrated into live systems of data analytics to reduce lags and costs in risk management;
  • It is also the most secure form of data transmission to-date;
  • It offers greater ability to automate individual loans portfolios on the basis of each client (irrespective of the client size); and 
  • It provides potentially seamless integration of various sub-segments of lending portfolios, including loans originated in unsecured peer-to-peer lending venues and loans originated by the banks.




Note the impact matrix above.

Blockchain solutions, such as for example AID:Tech platform for payments facilitation, can offer tangible benefits across all three pillars of digital credit risk management process for a bank:

  • Meeting customer demand for real-time decisions? Check. Self-service demand? Check. Integration with third parties’ platforms? Check. Dynamic risk-adjusted pricing and limits? Check
  • Reduced cost of risk mitigation? Yes, especially in line with real-time analytics engines and monitoring efficiency
  • Reduced operational costs? The entire reason for blockchain is lower transactions costs


What the above matrix is missing is the bullet point of radical innovation, such as, for example, offering not just better solutions, but cardinally new solutions. Example of this: predictive or forecast-based financing (see my earlier post on this http://trueeconomics.blogspot.com/2016/09/2916-forecast-based-financing-and.html).

A recent McKinsey report (http://www.mckinsey.com/industries/financial-services/our-insights/blockchain-in-insurance-opportunity-or-threat) attempted to map the same path for insurance industry, but utterly failed in respect of seeing the insurance model evolution forward beyond traditional insurance structuring (again, for example, FBF is not even mentioned in the report, nor does the report devote any attention to the blockchain capacity to facilitate predictive analytics-based insurance models). Tellingly, the same points are again missed in this month’s McKinsey report on digital innovation in insurance sector: http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/making-digital-strategy-a-reality-in-insurance.

This might be due to the fact that McKinsey database is skewed to just 350 larger (by now legacy) blockchain platforms with little anchoring to current and future innovators in the space. In a world where technology evolves with the speed of blockchain disruption, one can’t be faulted for falling behind the curve by simply referencing already established offers.

Which brings us to the point of what really should we expect from fintech innovation taken beyond d simply tinkering on the margins of big legacy providers?

As those of you who follow my work know, I recently wrote about fintech disruption in the banking sector for the International Banker (see http://trueeconomics.blogspot.com/2016/06/13616-twin-tech-challenge-to.html). The role of fintech in providing back-office solutions in banking services is something that is undoubtedly worth exploring. However, it is also a dimension of innovation where banks are well-positioned to accept and absorb change. The real challenge lies within the areas of core financial services competition presented (for now only marginally) by the fintech. Once, however, the marginal innovation gains speed and breadth, traditional banking models will be severely stretched and the opening for fintech challengers in the sector will expand dramatically. The reason for this is simple: you can’t successfully transform a centuries-old business model to accommodate revolutionary change. You might bolt onto it few blows and whistles of new processes and new solutions. But that is hardly a herald of innovation.

At some point in evolution, dinosaurs with wings die out, and birds fly.


Wednesday, March 11, 2015

11/3/15: The looming computerisation of European jobs


Two and a half years ago (http://trueeconomics.blogspot.ie/2012/08/2882012-challenging-constant-growth.html), I highlighted the research by Robert J. Gordon on the secular slowdown in economic growth awaiting the global economy, linked to the 'flattening out' of returns to technological innovation hypothesis.

Recent research from the Bruegel Institute (see: http://www.bruegel.org/nc/blog/detail/article/1394-the-computerisation-of-european-jobs/#.VQAET3EABEU.twitter) attempted to provide some estimation of the related topic: the topic of jobs displacement via technological innovation.

This represents a very important and interesting piece of work, quantifying risk exposures across the European economies to computerisation, robotisation and automation trends. The map Bruegel provides clearly shows the link between lower value-added sectors activity share of country GDP and the risk of jobs displacement due to technological innovation. However, even at the lower end of displacement scale, 47-49 percent of jobs are at risk, and this is a significant number. Worse, as authors correctly (in my view) suggest, the impact will be more pronounced for lower quality jobs, more reliant on labour and less related to human capital and complementarity between human capital and technology. In other words, already sizeable economic impact is likely to be magnified by an even larger social impact.

This topic is one of the key ones to focus on when thinking about the future economic, social and political developments. Just to give you a taster for the thinking ahead of us: in the majority of peripheral economies and indeed across the EU, jobs losses during the recent crises - the Global Financial Crisis, the Great Recession and the Sovereign Debt Crisis - were relatively concentrated in lower skills end of jobs spectrum, although this concentration was not as high as the bias expected for exult from technological displacement of jobs. Still, the relatively benign polarisation of the employment markets during the crises produced a prominent backlash in political sphere across the EU, with strengthening of the extreme political forces. Now, imagine the effect a much more socially concentrated disruption will cause to the traditional political systems.

Note: some links to related research