return of the economist by: anirban basu€¦ · 17/01/2020 · seven for the dwarf-lords in their...
TRANSCRIPT
Return of the Economist By: Anirban Basu
Sage Policy Group, Inc.
On Behalf of
The Future of Maryland Manufacturing 2020
January 17th, 2020
Ring Verse
Three Rings for the Elven-kings under the sky,
Seven for the Dwarf-lords in their halls of stone,
Nine for Mortal Men doomed to die,
One for the Dark Lord on his dark throne,
In the Land of Mordor where the Shadows lie,
One ring to rule them all, one ring to find them,
One ring to bring them all and in the darkness bind them
Nine Reasons for Hope in the Kingdom of Men (& Women)
Photo: Warner Bros
I. There is Plenty of Job Growth on Middle Earth (OK, America)Net Change in U.S. Jobs, December 2002 – December 2019
Source: U.S. Bureau of Labor Statistics
-1000
-800
-600
-400
-200
0
200
400
600
800D
ec-0
2
Jun
-03
Dec
-03
Jun
-04
Dec
-04
Jun
-05
Dec
-05
Jun
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Dec
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Jun
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Dec
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Dec
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-11
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-12
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-13
Dec
-13
Jun
-14
Dec
-14
Jun
-15
Dec
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Jun
-16
Dec
-16
Jun
-17
Dec
-17
Jun
-18
Dec
-18
Jun
-19
Dec
-19
Th
ou
san
ds
December 2019:+145K
-21
12
46
80
122
125
151
161
388
397
647
-100 0 100 200 300 400 500 600 700
Mining & Logging
Information
Manufacturing
Other Services
Financial Activities
Trade, Transportation, & Utilities
Construction
Government
Leisure & Hospitality
Professional & Business Services
Education & Health Services
Thousands, SA
National Nonfarm Employmentby Industry Sector, December 2018 v. December 2019
Source: U.S. Bureau of Labor Statistics
All told 2,108K jobs gained
Maryland Nonfarm Employmentby Industry Sector Groups (SA)November 2018 v. November 2019 Absolute Change
Source: U.S. Bureau of Labor Statistics
-800
-400
200
300
600
2,300
5,000
5,200
6,500
8,700
-5,000 -2,000 1,000 4,000 7,000 10,000
Information
Other Services
Manufacturing
Financial Activities
Trade, Transportation, & Utilities
Mining, Logging, & Construction
Leisure & Hospitality
Government
Education & Health Services
Professional & Business Services
MD Total:
+27.6K; +1.0%
US Total (SA):
+2,190K; +1.5%
*According to the Local Area Unemployment Statistics (LAUS) programMD added 86,408 jobs between November 2018 and November 2019.
Maryland Manufacturing EmploymentNet Growth, 2000 – 2019
Source: U.S. Bureau of Labor Statistics
-12,000
-10,000
-8,000
-6,000
-4,000
-2,000
0
2,000
4,000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 Nov.2019
Nov. 2019 YOY:+200 jobs (+2.0%)
Maryland Gross Domestic Product: Manufacturing2005Q1 – 2019Q2
Source: U.S. Bureau of Economic Analysis *Chained 2012 Dollars
$15.0
$16.0
$17.0
$18.0
$19.0
$20.0
$21.0
$22.0
$23.0
200
5Q1
200
5Q3
200
6Q
1
200
6Q
3
200
7Q1
200
7Q3
200
8Q
1
200
8Q
3
200
9Q
1
200
9Q
3
2010
Q1
2010
Q3
2011
Q1
2011
Q3
2012
Q1
2012
Q3
2013
Q1
2013
Q3
2014
Q1
2014
Q3
2015
Q1
2015
Q3
2016
Q1
2016
Q3
2017
Q1
2017
Q3
2018
Q1
2018
Q3
2019
Q1
Manufacturing Output ($B)
Employment Growth, 25 Largest Metros (NSA)November 2018 v. November 2019 Percent Change
Source: U.S. Bureau of Labor Statistics, Current Employment Statistics (CES) Survey
Rank MSA % Rank MSA %
1 Dallas-Fort Worth-Arlington, TX 3.214
Washington-Arlington-Alexandria, DC-VA-MD-WV
1.81 San Antonio-New Braunfels, TX 3.2
3 Seattle-Tacoma-Bellevue, WA 2.9 15 Portland-Vancouver-Hillsboro, OR-WA 1.7
4 Orlando-Kissimmee-Sanford, FL 2.8 16 Baltimore-Columbia-Towson, MD 1.6
5 Houston-The Woodlands-Sugar Land, TX 2.7 16 St. Louis, MO-IL 1.6
6 Phoenix-Mesa-Scottsdale, AZ 2.6 18 Los Angeles-Long Beach-Anaheim, CA 1.5
7 Charlotte-Concord-Gastonia, NC-SC 2.4 18 Miami-Fort Lauderdale-West Palm Beach, FL 1.5
7 Denver-Aurora-Lakewood, CO 2.4 20 Boston-Cambridge-Nashua, MA-NH 1.4
7 San Francisco-Oakland-Hayward, CA 2.4 21 New York-Newark-Jersey City, NY-NJ-PA 1.0
10 San Diego-Carlsbad, CA 2.3 21Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
1.0
11 Atlanta-Sandy Springs-Roswell, GA 2.2 23 Chicago-Naperville-Elgin, IL-IN-WI 0.6
11 Tampa-St. Petersburg-Clearwater, FL 2.2 24 Detroit-Warren-Dearborn, MI -0.3
13 Riverside-San Bernardino-Ontario, CA 2.1 24 Minneapolis-St. Paul-Bloomington, MN-WI -0.3
II. Fewer Idle in the ShireU.S. Unemployment Rate, December 2000 – December 2019
Source: U.S. Bureau of Labor Statistics
3.0
4.0
5.0
6.0
7.0
8.0
9.0
10.0
11.0
12.0
Dec
-00
Jun
-01
Dec
-01
Jun
-02
Dec
-02
Jun
-03
Dec
-03
Jun
-04
Dec
-04
Jun
-05
Dec
-05
Jun
-06
Dec
-06
Jun
-07
Dec
-07
Jun
-08
Dec
-08
Jun
-09
Dec
-09
Jun
-10
Dec
-10
Jun
-11
Dec
-11
Jun
-12
Dec
-12
Jun
-13
Dec
-13
Jun
-14
Dec
-14
Jun
-15
Dec
-15
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-16
Dec
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-17
Dec
-17
Jun
-18
Dec
-18
Jun
-19
Dec
-19
Un
emp
loym
ent
Rat
e (%
)
Total Unemployment Men Women
Source: U.S. Bureau of Labor Statistics
Rank Jurisdiction % Rank Jurisdiction %
1 Howard County 2.4 13 Baltimore County 3.3
2 Carroll County 2.5 13 Charles County 3.3
3 Montgomery County 2.6 15 Cecil County 3.4
4 Anne Arundel County 2.7 15 Kent County 3.4
4 Calvert County 2.7 15 Prince George's County 3.4
4 Queen Anne's County 2.7 18 Dorchester County 4.2
7 Frederick County 2.8 18 Garrett County 4.2
8 Harford County 2.9 20 Wicomico County 4.4
8 St. Mary's County 2.9 21 Allegany County 4.6
8 Talbot County 2.9 21 Baltimore City 4.6
11 Caroline County 3.2 23 Somerset County 5.5
11 Washington County 3.2 24 Worcester County 8.5
Maryland Unemployment Rates by CountyNovember 2019
Maryland: 3.6%
National Association of Manufacturers (NAM) Outlook Survey: Primary Current Business Challenges
Source: National Association of Manufacturers (NAM) *Respondents were able to check more than one response; therefore, responses exceed 100 percent.
4.9%
20.9%
22.0%
23.7%
27.2%
31.7%
51.9%
52.3%
55.4%
63.8%
Challenges with access to capital
Transportation and logistics costs
Strengthened U.S. dollar relative to other currencies
Unfavorable business climate (e.g., taxes, regulations)
Increased raw material costs
Weaker global growth and slower export sales
Weaker domestic economy and sales for our products
Rising health care/insurance costs
Trade uncertainties
Attracting and retaining a quality workforce
% of Respondents Citing as a Primary Challenge
III. Gold AplentyGrowth in Wages & Salaries, U.S. Employment Cost Index (ECI), 2002Q3 – 2019Q3
Source: U.S. Bureau of Labor Statistics *All Civilian Workers
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
200
2Q3
200
3Q1
200
3Q3
200
4Q
1
200
4Q
3
200
5Q1
200
5Q3
200
6Q
1
200
6Q
3
200
7Q1
200
7Q3
200
8Q
1
200
8Q
3
200
9Q
1
200
9Q
3
2010
Q1
2010
Q3
2011
Q1
2011
Q3
2012
Q1
2012
Q3
2013
Q1
2013
Q3
2014
Q1
2014
Q3
2015
Q1
2015
Q3
2016
Q1
2016
Q3
2017
Q1
2017
Q3
2018
Q1
2018
Q3
2019
Q1
2019
Q3
ECI for Wages & Salaries12-Month % Change
2019Q3: +2.9% YOY
IV. In the Baggins!U.S. Consumer Spending (Personal Consumption Expenditures), 2000Q1 – 2019Q3
Source: Bureau of Economic Analysis *Seasonally Adjusted Annual Rate.
$3.5
$5.5
$7.5
$9.5
$11.5
$13.5
$15.520
00
Q1
200
0Q
4
200
1Q3
200
2Q2
200
3Q1
200
3Q4
200
4Q
3
200
5Q2
200
6Q
1
200
6Q
4
200
7Q3
200
8Q
2
200
9Q
1
200
9Q
4
2010
Q3
2011
Q2
2012
Q1
2012
Q4
2013
Q3
2014
Q2
2015
Q1
2015
Q4
2016
Q3
2017
Q2
2018
Q1
2018
Q4
2019
Q3
$ T
rill
ion
s
$14.7 Trillion
*2nd Estimate
U.S. Retail Sales, December 2000 – December 2019
Source: U.S. Census Bureau
$200
$250
$300
$350
$400
$450
$500
$550
Dec
-00
Jun
-01
Dec
-01
Jun
-02
Dec
-02
Jun
-03
Dec
-03
Jun
-04
Dec
-04
Jun
-05
Dec
-05
Jun
-06
Dec
-06
Jun
-07
Dec
-07
Jun
-08
Dec
-08
Jun
-09
Dec
-09
Jun
-10
Dec
-10
Jun
-11
Dec
-11
Jun
-12
Dec
-12
Jun
-13
Dec
-13
Jun
-14
Dec
-14
Jun
-15
Dec
-15
Jun
-16
Dec
-16
Jun
-17
Dec
-17
Jun
-18
Dec
-18
Jun
-19
Dec
-19
Retail Sales ($Billions)
V. Your Gold Coins Go FurtherConsumer Price Index: All Items Less Food & Energy, December 2000 – December 2019
Source: U.S. Bureau of Labor Statistics
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
Dec
-00
Jun
-01
Dec
-01
Jun
-02
Dec
-02
Jun
-03
Dec
-03
Jun
-04
Dec
-04
Jun
-05
Dec
-05
Jun
-06
Dec
-06
Jun
-07
Dec
-07
Jun
-08
Dec
-08
Jun
-09
Dec
-09
Jun
-10
Dec
-10
Jun
-11
Dec
-11
Jun
-12
Dec
-12
Jun
-13
Dec
-13
Jun
-14
Dec
-14
Jun
-15
Dec
-15
Jun
-16
Dec
-16
Jun
-17
Dec
-17
Jun
-18
Dec
-18
Jun
-19
Dec
-19
Core CPI (All Items Less Food & Energy)12-Month % Change
Dec. 2019:+2.2% YOY
VI. Interest Rates are Hobbit-SizedU.S. 10-Year Treasury Constant Maturity Rate, 1962 – 2020
Source: Board of Governors of the Federal Reserve System
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
16.0%19
62
196
4
196
6
196
8
1970
1972
1974
1976
1978
198
0
198
2
198
4
198
6
198
8
199
0
199
2
199
4
199
6
199
8
200
0
200
2
200
4
200
6
200
8
2010
2012
2014
2016
2018
2020
*Week ending 1/10/2020
15-Year & 30-Year Fixed Mortgage RatesJanuary 1995 – January 2020*
Source: Freddie Mac
*Week ending 1/16/2020
3.09%
3.65%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%19
95
199
6
199
7
199
8
199
9
200
0
200
1
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
Rat
e
15-yr 30-yr
VII. Property Values Rise in Middle EarthS&P Case-Shiller U.S. National Home Price Index, October 1995 – October 2019
Source: Standard & Poor’s
80
100
120
140
160
180
200
220
199
5
199
6
199
7
199
8
199
9
200
0
200
1
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
Jan 2000=100
VIII. The Kingdom is Under Construction U.S. Building Permits, November 1995 – November 2019
Source: U.S. Census Bureau
0
500
1,000
1,500
2,000
2,500
199
5
199
6
199
7
199
8
199
9
200
0
200
1
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
Building Permits (000s of Units)
IX. But It Goes to ElvenU.S. Stock Markets, January 2006 – January 2020*
Source: Yahoo! Finance
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
10,000
Jan
-06
May
-06
Sep
-06
Jan
-07
May
-07
Sep
-07
Jan
-08
May
-08
Sep
-08
Jan
-09
May
-09
Sep
-09
Jan
-10
May
-10
Sep
-10
Jan
-11
May
-11
Sep
-11
Jan
-12
May
-12
Sep
-12
Jan
-13
May
-13
Sep
-13
Jan
-14
May
-14
Sep
-14
Jan
-15
May
-15
Sep
-15
Jan
-16
May
-16
Sep
-16
Jan
-17
May
-17
Sep
-17
Jan
-18
May
-18
Sep
-18
Jan
-19
May
-19
Sep
-19
Jan
-20
Dow JonesNASDAQ/S&P
S&P 500
NASDAQ Composite
Dow Jones Industrial Average
*Week ending 1/10/2020
U.S. Corporate Profits After Tax*, 1990 – 2019
Source: U.S. Bureau of Economic Analysis
*With IVA and CCAdj
$0
$200
$400
$600
$800
$1,000
$1,200
$1,400
$1,600
$1,800
$2,000
199
0Q
3
199
1Q3
199
2Q3
199
3Q3
199
4Q
3
199
5Q3
199
6Q
3
199
7Q3
199
8Q
3
199
9Q
3
200
0Q
3
200
1Q3
200
2Q3
200
3Q3
200
4Q
3
200
5Q3
200
6Q
3
200
7Q3
200
8Q
3
200
9Q
3
2010
Q3
2011
Q3
2012
Q3
2013
Q3
2014
Q3
2015
Q3
2016
Q3
2017
Q3
2018
Q3
2019
Q3
Corporate Profits After Tax* ($Billions)$1.87 Trillion
Seven
Factors
Dwarfing
Hope
Photo: Warner Bros
I. Manufacturing Doth DeclineInstitute of Supply Management: Purchasing Managers Index (PMI), 2000 – 2019
Source: Institute of Supply Management; Quandl.com
30
35
40
45
50
55
60
47.2
*A reading above 50 percent indicates that the manufacturing economy is generally expanding; below 50 percent indicates that it is generally contracting.
Value of U.S. Manufacturers' Shipments12-Month % Change, 1993 – 2019
Source: U.S. Census Bureau
-30%
-20%
-10%
0%
10%
20%
199
3
199
4
199
5
199
6
199
7
199
8
199
8
199
9
200
0
200
1
200
2
200
3
200
3
200
4
200
5
200
6
200
7
200
8
200
8
200
9
2010
2011
2012
2013
2013
2014
2015
2016
2017
2018
2018
2019
U.S. Share of Global Manufacturing Value Added, 1970-2017
U.N. National Accounts Main Aggregates Database, value added by economic activity
10.0%
15.0%
20.0%
25.0%
US % of World (Calculated in constant 2010 USD)
Economic Opportunity & the Opioid Epidemic
Source: The Washington Post
• A newly published study by researchers at the University of Pennsylvania, Yale, Harvard, and Massachusetts General Hospital finds that counties where auto plants close see significant spikes in fatal opioid overdoses within five years;
• The study looked at the counties where manufacturing represented the greatest share of local employment between 1999 and 2016, largely in the Midwest and South;
• Compared to counties where auto plants had not closed, opioid overdose deaths were 85% higher among working-age adults in communities where an auto plant had closed within the past five years;
• In a news release, the study’s lead author stated: “Major economic events, such as plant closures, can affect a person’s view of how their life might be in the future. These changes can have a profound effect on a person’s mental well-being, and could consequently influence the risk of substance use…Our findings confirm the general intuition that declining economic opportunity may have played a significant role in driving the opioid crisis.”
National Association of Manufacturers (NAM) Outlook Survey:Current Business Outlook
Source: National Association of Manufacturers (NAM)
93.3%89.5% 89.8%
94.6% 93.5% 95.1%92.5%
88.7% 89.5%
79.8%
67.9% 67.6%
2017Q1 2017Q2 2017Q3 2017Q4 2018Q1 2018Q2 2018Q3 2018Q4 2019Q1 2019Q2 2019Q3 2019Q4
% of Respondents Characterizing Outlook as Somewhat or Very Positive
II. A Tower of National DebtU.S. Federal Debt Held by the Public, % of GDP
Source: Congressional Budget Office (CBO), “An Update to the Budget and Economic Outlook: 2019 to 2029”, 8/21/2019.
0
20
40
60
80
100
120
1940 1950 1960 1970 1980 1990 2000 2010 2020
Debt Held by the Public (% of GDP)
Actual Projected• Relative to the size of
the economy, federal debt in 2019 is projected to be nearly twice its average over the past 50 years.
• At the end of 2029, debt is projected to reach a higher level than it has at any point since just after World War II.
U.S. Federal Deficit, % of GDP
Source: Congressional Budget Office (CBO), “An Update to the Budget and Economic Outlook: 2019 to 2029”, 8/21/2019.
-10
-8
-6
-4
-2
0
2
4
196
9
1972
1975
1978
198
1
198
4
198
7
199
0
199
3
199
6
199
9
200
2
200
5
200
8
2011
2014
2017
2020
2023
2026
2029
Surpluses
Deficits
1969-2018 Avg.: 2.9%
2020-2029 Avg.: 4.7%
• Over the 2020–2029 period, deficits are projected to average 4.7% of GDP, totaling $12.2 trillion.
• Over the past 50 years, deficits averaged just 2.9% of GDP.
III. A Mountain of Consumer Debt, TooTotal U.S. Household Debt, 2003 – 2019
Source: New York Fed Consumer Credit Panel/Equifax
$0
$3
$6
$9
$12
$15
200
3Q1
200
3Q4
200
4Q
3
200
5Q2
200
6Q
1
200
6Q
4
200
7Q3
200
8Q
2
200
9Q
1
200
9Q
4
2010
Q3
2011
Q2
2012
Q1
2012
Q4
2013
Q3
2014
Q2
2015
Q1
2015
Q4
2016
Q3
2017
Q2
2018
Q1
2018
Q4
2019
Q3
$ T
rill
ion
s
Mortgage HE Revolving Auto Loan Credit Card Student Loan Other
Debt balances have been rising steadily for 5 years and are now $1.3 trillion higher than the previous peak in 2008Q3 of $12.7 trillion. Overall household debt is 25.1% above the 2013Q2 trough.
IV. How Did It Come to This?U.S. Corporate Bond Debt Outstanding, 1980 – 2018
Source: Securities Industry and Financial Markets Association (SIFMA); Federal Reserve
$0.0
$2.0
$4.0
$6.0
$8.0
$10.0
1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016 2018
$ T
rill
ion
s
2018: $9.2 Trillion
Global Debt Reaches All Time Highs (IIF)
Sources: 1. Institute of International Finance (IFF), Global Debt Monitor. 2. Business Insider. 3. The Telegraph. 4. Reuters.
• According to the International Institute of Finance (IIF), global debt reached a record high of over $250 trillion in the first half of 2019;
• Global debt—including household, government, and corporate—is now forecast to surpass $255 trillion by the end of 2019, representing 320% of global GDP;
• In 2016 the IMF warned of risks to the global economy:
• “sheer size of debt could set the stage for an unprecedented private deleveraging process that could thwart the fragile economic recovery”
V. Entish: U.S. Nonfarm Business Sector: Labor Productivity Growth, 2000-2019
Source: U.S. Bureau of Labor Statistics *Labor Productivity: output per hour
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
Nonfarm Business Sector Labor productivity % Change From Previous Quarter at Annual Rate
• In 2019Q3 nonfarm business sector labor productivity fell by 0.2%—the first decline since 2015.
• U.S. productivity has risen at an average rate of 1.3% since 2007, compared with a 2.1% average since the end of WWII.
VI. Uncertainty Across the Realm:Global Economic Policy Index, 1997 – 2019
Source: 'Measuring Economic Policy Uncertainty' by Scott Baker, Nicholas Bloom and Steven J. Davis at www.PolicyUncertainty.com
0
50
100
150
200
250
300
350
1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 2019
Global Economic Policy Uncertainty Index
VII. The Eye is on Asset Prices:Shiller Price-Earnings Ratio, 1980 – 2019
Source: Robert J. Shiller Data used in his book, "Irrational Exuberance" Princeton University Press.
0
10
20
30
40
50
198
0
198
1
198
2
198
3
198
4
198
5
198
6
198
7
198
8
198
9
199
0
199
1
199
2
199
3
199
4
199
5
199
6
199
7
199
8
199
9
200
0
200
1
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
Dec. 2019:30.91
Three Things that
Defied Prediction
Photo: Warner Bros; getwallpapers.com
1. Impossibly low inflation – How could one have seen this coming in the context of the lowest unemployment rate in 50 years, lackluster productivity growth, a robust consumer spending sector and the lengthiest expansion in American history?
2. Incredibly low interest rates – How can global indebtedness be so high, and global interest rates so low?
3. The Strength of the U.S. Economy Itself- How can the U.S. economy have been performing so well, and financial markets booming so splendidly in the context of fragmenting global trade, slower immigration, Brexit, impeachment, global warming, and other phenomena that one would think would be bad for domestic economic outcomes?
Maybe, we’re not wrong?
Emerging Technologies in Manufacturing:Are Humans & Machines Better Together?
Source: Interestingengineering.com
• The fourth industrial revolution, or “Industry 4.0” is the current shift taking place in manufacturing.
• At the heart of the latest industrial revolution is what GlobalData describes as “enhanced human-machine interaction to drive interconnectivity, information transparency and autonomous decision making.”
• Technological innovations are contributing to the new data-driven, agile, and automated environment in manufacturing.
• GlobalData’s Disruptor Tech Database identifies five key technologies that define the paradigm shift in Industry 4.0. They are:
• Big data and analytics (BDA),
• Industrial internet of things (IIoT)
• Cloud computing
• Additive manufacturing (3D printing)
• Augmented reality (AR)
• Other emerging technologies impacting manufacturing include advanced robotics, digital twinning, simulation, cybersecurity, artificial intelligence (AI) and blockchain.
Emerging Technologies in Manufacturing:Are Humans & Machines Better Together?
Source: Interestingengineering.com; CBInsights.com; “What emerging technologies may mean for the manufacturing workforce”, by Steve Menaker (Industrial Products Leader, RSM)
• These new technologies are being applied throughout multiple steps of the manufacturing process, including: R&D, resources planning & sources, operations technology monitoring & machine data, labor augmentation & management, machining/production & assembly, quality assurance, warehousing, and transport & supply chain management.
• The rise of new technologies will likely drive the creation of more hybrid jobs, where manufacturing employees will need a combination of advanced production, IT and problem-solving skills in order to succeed.
• This could open up new avenues for manufacturers to recruit and retain tech-savvy millennials, who may have an easier time embracing a more technology-driven workplace.
The One
• Risk of recession over the next 18 months is arguably more elevated than at any period since 2007 – second half of the year appears tenuous as elections approach;
• U.S. manufacturing and agricultural activity still sluggish, though first stage trade agreement with China could set the stage for resurgence, especially in US farm sector;
• Ultimately, this may turn out to be merely a soft landing (like 2016), but businesses should be raising cash, determining if line of credit is large enough, considering staffing models, and ensuring the good graces of bankers and insurers. Households should consult trusted financial advisors.
Forecast