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Posted: Jan 30, 2018 7:37 AM
Updated: Jan 30, 2018 7:37 AM

Amazon Go, the online retailer's first completely automated store, debuted in Seattle last week. Using a bevy of smart cameras, deep machine learning and artificial intelligence (AI) algorithms, the store makes it possible for shoppers to simply pick up the products they like and go, with their accounts being automatically charged for the products -- completely eliminating the need for cashiers and checkout lines. Though staff members still stock the shelves, they will likely soon be replaced by robots.

This is revolutionary and will likely be how all stores will operate in the near future. Stores won't have to invest in employees -- salaries, training, overtime, health care. Customers will like it, too. No more standing in boring check-out lines, interacting with indifferent staff.

What we are witnessing is surely the future of the retail industry, but there is also a downside that needs our attention. Cashiers and retail workers are two of the most common occupations in the US, employing roughly 8 million people, many of who tend to be younger, white women, making modest yearly incomes in the $20,000-$25,0000 range.

Most of these jobs require little formal education for entry, and so the sector supports many individuals with relatively low skills and education who are likely to find it particularly hard to quickly retool and fit a different employment sector. Most of them will likely find themselves jobless.

Of course, this isn't the only sector that AI will decimate. Driverless trucks are already being tested on major highways. They, too, have many advantages over today's long haulers: they can run 24/7 and never get fatigued; no need for mandatory breaks; no more wasted fuel idling overnight.

Truck drivers account for a third of the cost of this $700 billion industry, and there are over 1 million mostly middle-aged, white male truckers in the US. Their jobs will be rendered obsolete. And these numbers will likely be even higher once driverless cars replace all taxi and local delivery drivers.

Such fears of computing-led obsolescence aren't new. In 1964, less than a few years after IBM had launched the first solid-state mainframe computer, "The Twilight Zone" ran a skit titled "The Brain Center at Whipple's" -- where Mr. Whipple, the owner of a vast manufacturing corporation replaced all his factory workers with a room-sized computing machine.

Mr. Whipple's economic justification for his "X109B14 modified transistorized totally automated machine" could just as well be applied to AI: "It costs 2 cents an hour to run ... it lasts indefinitely ... it gets no wrinkles, no arthritis, no blocked arteries ... two of them replace 114 men who take no coffee breaks, no sick leaves, no vacations with pay." In the show, Whipple's machine quickly replaced everyone from the plant's workers to its foremen to all the secretaries.

The story was prescient and many of its fictionalized fears in time came true: Most of the large manufacturing plants were indeed shut down; secretaries and typists mostly became obsolete; and the jobs that created the American middle-class were all eventually outsourced. Much of this computer-driven automation replaced low-skilled easily routinizable functions.

But AI is different. It utilizes deep-learning algorithms and acquires skills, so it can routinize many complex functions.

Take journalism -- a task that has always been performed by humans. After its purchase of The Washington Post last year, Amazon tested Heliograf, a new AI based writing program that automates report-writing using predefined narrative templates and phrases. From the Olympics to the elections, the software has already auto-published close to 1,000 articles.

And given its ability to churn through virtually any amount of data and spit out endless reports instantaneously, AI newsbots are way better than humans. It's no surprise then that USA Today, Reuters, BuzzFeed and growing numbers of financial organizations are already employing AI for tasks ranging from reporting to data authentication.

In the near future, AI will replace many other such so-called highly skilled professions, from chefs to pilots and surgeons. Going back to school, learning new skills and retooling might not be an option because it would be impossible to learn as quickly, provide the kind the nuance from distilling terabytes of information or outpace AI. And besides, by the human-time it takes to acquire a new skill, AI might have learned to replace it.

If these trends materialize -- and some might not -- we are looking at a seismic shift in the American economy. If the last election was a push back against globalization, imagine what a rage against AI will look like.

The solution, of course, is not to stop the march of progress but to prepare for it with forward thinking investments in education, human capital and public policy. While Washington is busy cleaning up yesterday's self-inflicted mess, this is tomorrow's crisis that requires attention today.

In the end of the Mr. Whipple skit, he, too, was rendered obsolete -- by a robot. Rod Serling's ominous closing message: "Man becomes clever instead of becoming wise; he becomes inventive and not thoughtful; and sometimes, as in the case of Mr. Whipple, he can create himself right out of existence." One hopes that this isn't what AI does to us.

Indiana Coronavirus Cases

Data is updated nightly.

Cases: 590211

Reported Deaths: 9310
CountyCasesDeaths
Marion815581297
Lake44306666
Allen31919541
Hamilton28371304
St. Joseph26766371
Elkhart24098341
Vanderburgh18643213
Tippecanoe17422121
Johnson14496284
Porter14399160
Hendricks13870241
Madison10561212
Vigo10483171
Clark10240130
Monroe9076108
Delaware8836132
LaPorte8771155
Howard7897138
Kosciusko787277
Warrick643890
Hancock638797
Bartholomew626694
Floyd6150105
Wayne5933157
Grant5818110
Dubois544372
Boone534367
Morgan516291
Marshall494184
Henry493664
Cass471760
Noble460557
Dearborn458444
Jackson414745
Shelby402179
Lawrence380575
Clinton364539
Gibson356556
DeKalb337363
Montgomery334851
Harrison328542
Knox327839
Miami309843
Steuben306340
Adams295235
Whitley294125
Wabash293045
Ripley292345
Putnam284847
Huntington283557
Jasper282433
White267538
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Jefferson250738
Fayette242348
Decatur242182
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Wells229447
LaGrange224161
Clay217932
Scott216937
Randolph208340
Jennings192535
Sullivan189031
Spencer181917
Fountain179725
Washington177118
Starke171341
Jay162821
Owen159537
Fulton159229
Carroll152115
Orange151433
Rush149918
Perry147227
Vermillion144933
Franklin143433
Parke12908
Tipton128232
Pike113625
Blackford107522
Pulaski95237
Newton89421
Brown85530
Benton84310
Crawford7579
Martin70013
Warren6587
Switzerland6205
Union6113
Ohio4677
Unassigned0374

Ohio Coronavirus Cases

Data is updated nightly.

Cases: 826754

Reported Deaths: 10200
CountyCasesDeaths
Franklin97493705
Cuyahoga821781012
Hamilton61350439
Montgomery41700399
Summit33399726
Lucas30111597
Butler29721228
Stark24811400
Warren18917139
Lorain18086212
Mahoning16758335
Lake15365135
Clermont15160104
Delaware1382177
Licking12679132
Trumbull12401302
Fairfield1218480
Greene11631133
Medina11128165
Clark10608264
Wood9964154
Allen9511126
Portage8867105
Miami886573
Richland8790116
Marion7319113
Tuscarawas7142174
Columbiana7085124
Pickaway702850
Wayne6781164
Muskingum671242
Erie5886118
Hancock537890
Ross530287
Scioto519662
Geauga483555
Darke457589
Ashtabula439068
Lawrence432651
Union430628
Mercer424287
Sandusky421862
Seneca413555
Auglaize412759
Huron410338
Shelby410221
Jefferson403366
Belmont395640
Washington372040
Putnam364672
Athens36369
Madison339329
Knox336522
Ashland331738
Fulton325943
Defiance319278
Crawford313268
Preble311534
Brown296619
Logan292729
Ottawa282134
Clinton279043
Williams270166
Highland262418
Jackson256943
Guernsey241725
Champaign240927
Fayette225529
Morrow22294
Perry221318
Holmes218662
Henry210247
Hardin204133
Coshocton197420
Van Wert196644
Gallia190926
Wyandot190549
Adams165615
Pike164116
Hocking163423
Carroll149516
Paulding139021
Noble117840
Meigs103221
Monroe95629
Harrison8568
Morgan79128
Vinton67113
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