THE LIGHTS IN THE TUNNEL / 234
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Trouble in China
IfconsumerspendingintheU.S.andtherestofthe de-
veloped world remains depressed, China may ultimately
find itdifficultto sustain thegrowthit needsto keep its
workersemployed.GiantretailersintheUnitedStateswill
likelycontinuetoexertextremepressureonChineseman-
ufacturers to produce ever cheaper, better and more so-
phisticated products. These businesses may have little
choicebuttoturnincreasinglytoautomationasawayto
improveefficiencyandtrimcosts.Inasocietythatoffers
littleinthewayofasafetynet,thesavingrateamongChi-
neseworkersmightremainveryhigh,orperhapsevenin-
crease, in spite of the government’s efforts to somehow
spur consumer spending. All this may lead to increased
incidentsofcivilunrestandinstability.
Continuing Instability in the Financial Markets
Aseveryoneknows,thecurrentcrisisbeganwiththesub-
primemeltdown.Acasecancertainlybemadethatstag-
natingwagesplayedaroleinthecauseofthatmeltdown.
Obviously,lowwagesmadeitdifficultforthesepeopleto
repaytheirloans.
Beyondthat,Ithink itisalsotruethat,to some de-
gree,themotivationbehindsubprimeloanprogramswas
theideaofthe“ownership society.” Basically, inlightof
increasingevidencethatwagespaidtoaveragepeopleno
longerofferalikelypathtosuccess,weturnedinsteadto
thepromiseofrealestatespeculationandtriedtoextendit
toasmanypeopleaspossible.
Appendix / Final Thoughts / 235
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Itdidn’tturnoutwell,andthelessonisthatvirtually
allassetvaluesinoureconomyarebasedontheassump-
tionthatwearegoingtocontinuehavingavibrantmass
marketeconomysupportedbyrobustconsumerspending.
Ifthatbasicassumptionisthreatened,weareverylikelyto
see increased risk, volatility and, ultimately,deflating val-
ues. The “ownership society” idea just isn’t workable—
consumersneedincomes(andconfidenceinthecontinuity
of those incomes) to support the sustained discretionary
spending that powers the economy. Remember: Every-
thingthatisproducedbytheeconomyis ultimatelycon-
sumedbyindividualhumanbeings.
*
Ugly and irrational political battles
IftrendssimilartotheonesI’velistedabovedodevelop,
andifthereisnocoherentunderstandingandreasonable
consensus regarding what is occurring, a dark scenario
may develop. Political battles will become even more
heated,partisanandirrational.Manypoliticiansmayactin
evenmorepurelyself-interestedwaysastheycometoge-
nuinelyfearthespecteroftheirownunemployment.
Conservatives will likely cling to the idea that taxes
should be cut on business even as it becomes clear that
such cuts will result in little or no job creation. Liberals
*
GDP is equaltoPersonalConsumer Spending + Business Invest-
ment (which occurs in anticipation of future consumer spending) +
NetExports(consumer spendinginothercountries) +Government
Spending(moneythatthegovernment spendstoprovideservicesto
individual people). It all comes down to individual people buying
stuff.
THE LIGHTS IN THE TUNNEL / 236
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may callfor increased job training evenastheprospects
formoreeducatedworkersarediminishing.Theymayalso
throw their weight behind organized labor, and this will
leadtoacontinuingbalkanizationoftheworkforceintoa
protectedeliteversusafarlargernumberofhighlyvulner-
ableworkers.
Appendix / Final Thoughts / 237
CopyrightedMaterial–Paperback/Kindle available @ Amazon
Outsmarting Marx
Thecentralthesisofthisbookisthat,astechnologyacce-
lerates, machine automationmay ultimately penetrate the
economy to theextent thatwages no longer provide the
bulkofconsumerswithadequatediscretionaryincomeand
confidenceinthefuture.Ifthisissueisnotaddressed,the
resultwillbeadownwardeconomicspiral.
Itmustbeacknowledgedthatthisideaisquitesimilar
tothepredictionsthatweremadebyKarlMarxinthemid
tolate1800s.Marxpredictedthatcapitalismwouldsuffer
from a relentless “accumulation of capital,” resulting in
massive unemployment and wages that would be driven
downbelowsubsistencelevel.Thisinturnwouldresultin
diminishedconsumerdemand,fallingprofitsandultimate-
lyeconomiccrisisorevencollapse.
Iftheargumentsinthisbookprovecorrect,thenwe
may bein thesomewhatuncomfortablepositionofcon-
ceding that Marx was, at least in some ways, perceptive
aboutthechallengesthecapitalistsystemwouldeventually
encounter.That,ofcourse,doesnotmeanthatweshould
consideradopting Marx’s solution. He advocated theab-
olition of private property, acentrallyplanned economy,
and perhaps most chillingly, the overthrow of govern-
mentsanda“dictatorshipoftheproletariat.”Inthewake
of the collapse of communism, these ideas have been
shownunequivocallytobe non-starters. They deserveto
besweptintothedustbinofhistory.
Theanswertotheproblemisclearlytoadaptoursys-
tem.Thefreemarketeconomyisnotanaturalphenome-
THE LIGHTS IN THE TUNNEL / 238
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non.Itisreallyamachinethatwehavebuiltandrefined
overcenturies:itisanenginethatisfundamentallydriven
byincentives.Marxwantedtotakeasledgehammertothat
engine.Ourjobistotuneit,andevenre-engineeritifne-
cessary,sothatitwillcontinuetopowerprosperityindefi-
nitely.
Appendix / Final Thoughts / 239
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The Technology Paradox
Mostpeoplewhowatchmoviesorhavereadsciencefic-
tionnovelsarefamiliarwiththepotentialparadoxesasso-
ciatedwithtimetravel. Forexample,ifyouwereableto
travelbackintimeandthendosomethingtopreventyour
parents from meeting before you were born, or perhaps
killayoungerversionofyourself,thenyouwouldpresum-
ablyceasetoexist.Whileweobviouslydon’tneedtowor-
ry too much about the practical problems of owning a
timemachine,Ithinkthatthereisasomewhatanalogous
issueassociatedwiththefutureoftechnology.
Manytechnologistswhothinkdeeplyaboutthefuture
believethatgenuinelyamazing thingsare possible.These
visions include things such as truly intelligent machines
and advanced nanotechnology that would allow us to
transform matter, generate abundant clean energy and
perhapscreatetangibleobjectswiththesameeasethatwe
nowcreategraphicsonacomputerscreen.Thereisalsoa
greatdealofspeculationaboutfantasticmedicaladvances
thatmightcuremajordiseasesandperhapsevendramati-
callyextendthehumanlifespan.
*
*
While many diet books are a bit ambitious in terms of what they
promise,RayKurzweilandTerryGrossmantakethingstoanentirely
newlevel with two books (Fantastic Voyage: Live Long Enough to Live
Forever and Transcend: Nine Steps to Living Well Forever) based on the
premise that ifyou can justhold on longenough to make ittothe
point of extraordinary technological acceleration (the “Singularity”),
you should be abletotakeadvantageofthecontinuous medicalad-
vancesthatwillensue,andthenmanagetobecomeessentiallyimmor-
tal. You won’t find many other books that discuss subjects such as
THE LIGHTS IN THE TUNNEL / 240
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TheessentialpointIwanttomakeisthatallthistruly
amazingstuffwillrequireenormousinvestment.Certainly,tril-
lionsofdollarswillneedtobeinvestedinordertomake
such technologies a reality. As I have pointed out
throughout this book, such investment cannot occur in
theabsenceofrobustconsumerdemand.Withinthecon-
textofthefreemarketeconomy,noinvestorwouldmake
suchaninvestmentunlessheorsheanticipatesavibrant
marketfortheresultingtechnology.
IwouldalsoarguethatthelevelofautomationIhave
beendiscussinginthebook—inotherwords,theideathat
a substantial fractionof routine,average jobs willbeau-
tomated—representsamuchlowerpointonthetechnolo-
gycurvethanall thisreallyfantasticstuff.Therefore,itwill
occurfirst.AsIhavepointedout,iftechnologypermanently
eliminateshugenumbersofworkers—and createsperva-
sive fear in the minds of those who still have jobs—
consumer demand would surely suffer dramatically. The
bottomlineisthat,ifoureconomicmodelisnotadapted
to the new reality, technology could essentially kill itself
off.Itisquiteeasytoimagineascenarioinwhichtechnol-
ogyreachedacertainpoint,butthensloweddramatically
orevenhaltedbeforegettingtothereallyamazingthings.
advancedartificialintelligenceandcybernetics—andalsohaveplenty
ofrecipesforhealthydishes.
Appendix / Final Thoughts / 241
CopyrightedMaterial–Paperback/Kindle available @ Amazon
Machine Intelligence and the Turing Test
Thisbookhasprimarilybeenconcernedwiththepotential
economicimpactofwhatresearchersinthefieldofartifi-
cialintelligencewouldcallnarrowAI.Inotherwords,ma-
chinesandsoftwarethatarecapableofsophisticatedanal-
ysis,decisionmakingandreasoningwithinarelativelynar-
rowfieldofapplication.Suchmachinesarenotreallyintel-
ligentinanymeaningfulsense—buttheyarehighlycom-
petentatperformingspecificcomplextasksandmaywell
exceedthecapabilityofahumanworker.
NarrowAIapplicationsarealreadyinwidespreaduse;
expertsystemssuchasthesoftwarethatcanautonomous-
lypilotandlandairlinersandmanyoftheadvancedfea-
tures built into Internet search engines and multiplayer
role playing games fall into this area. Narrow AI is the
practicalsideofartificialintelligence,andforthatreason,
we can expect that it will attract substantial commercial
investment.AsIhavearguedinthisbook,machinesexhi-
bitingvastlyimprovednarrowAIcapabilitymayultimately
be poised to permanently take over a great many of the
moreroutinejobsintheeconomy.
WhilenarrowAIisincreasinglydeployedtosolvereal
worldproblemsandattractsmostofthecurrentcommer-
cialinterest,the HolyGrailofartificial intelligenceis, of
course, strong AI—the construction of a truly intelligent
machine.TherealizationofstrongAIwouldmeantheex-
istenceofamachinethatisgenuinelycompetitivewith,or
perhaps evensuperiorto,a human beinginitsabilityto
reasonandconceiveideas.TheargumentsIhavemadein
THE LIGHTS IN THE TUNNEL / 242
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thisbookdonotdependonstrongAI,butitisworthnot-
ingthatiftrulyintelligentmachineswerebuiltandbecame
affordable, the trends I havepredicted here would likely
beamplified,andtheeconomicimpactwouldcertainlybe
dramaticandmightunfoldinanacceleratingfashion.
ResearchintostrongAIhassufferedbecauseofsome
overlyoptimisticpredictionsandexpectationsbackinthe
1980s—long before computerhardware was fast enough
to make true machine intelligence feasible. When reality
fellfarshortoftheprojections,focusandfinancialback-
ingshiftedaway fromresearchintostrongAI.Nonethe-
less,thereisevidencethatthevastlysuperiorperformance
andaffordabilityoftoday’sprocessorsishelpingtorevital-
izethefield.
ResearchintostrongAI canberoughlydivided into
twomainapproaches.Thedirectcomputationalapproach
attemptstoextendtraditional,algorithmiccomputinginto
therealmof true intelligence. This involves the develop-
ment of sophisticated software applications that exhibit
generalreasoning.Asecondapproachbeginsbyattempt-
ingtounderstandandthensimulatethehumanbrain.The
Blue Brain Project,
57
a collaboration between Switzerland’s
EPFL (one of Europe’s top technical universities) and
IBM, is one such effort to simulate the workings of the
brain.Onceresearchersgainanunderstandingofthebasic
operating principles of the brain, it may be possible to
build an artificial intelligence based on that framework.
Thiswouldnotbeanexactreplicationofahumanbrain;
instead,itwouldbesomethingcompletelynew,butbased
onasimilararchitecture.
Appendix / Final Thoughts / 243
CopyrightedMaterial–Paperback/Kindle available @ Amazon
When might strong AI become reality—if ever? I
suspectthatifyouweretosurveythetopexpertsworking
inthefield,youwouldgetafairlywiderangeofestimates.
Optimistsmightsayitwillhappenwithinthenext20to30
years. Amorecautiousgroup would placeit 50or more
yearsinthefuture,andsomemightarguethatitwillnever
happen.
True machine intelligence is an idea that, in many
ways,intrudesintotherealmofphilosophy,andforsome
people,perhapsevenreligion.Whatisthenatureofintel-
ligence? Is intelligence algorithmic? Can it be separated
fromconsciousnessorself-awareness?RogerPenrose,one
of the world’s top mathematical physicists, has written
severalbooks
58
suggestingthattrueartificialintelligenceis
unattainableusingconventionalcomputersbecausehebe-
lieves that intelligence (or at least consciousness) has its
rootsinquantummechanics—theareaofphysicsthatgo-
vernstheprobabilistic,andseeminglybizarre,interactions
thatoccurbetweenparticlesofsubatomicsize.
IfstrongAIdoesarrive,howwillweknow?Thatisa
question that was first askedbyAlan Turing nearlysixty
years ago. Turing, a legendaryBritish mathematician and
codebreakerduringWorldWarII,isoftenconsideredto
bethefounderofcomputerscience.In1950,Turingpub-
lishedapaperentitled“ComputingMachineryandIntelli-
gence,”inwhich he proposed atesttoanswer theques-
tion:“Canmachinesthink?”
Turing’stestwasbasedonagamepopularatparties
at the time. In today’s terms, it amounts to a three-way
instant messaging conversation. One participant is a hu-
THE LIGHTS IN THE TUNNEL / 244
CopyrightedMaterial–Paperback/Kindle available @ Amazon
manjudge.Theotherparticipantsareanotherpersonand
amachine—bothofwhomattempttoconvincethejudge
thattheyarehumanbyconductinganormalconversation.
Ifthejudgecan’ttellwhichparticipantiswhich,thenthe
machineissaidtohavepassedtheTuringTest.
TheTuringTestisperhapsthemostwell-knownand
acceptedmethodformeasuringtruemachineintelligence.
Inpractice,theruleswouldneedtobefurtherrefined,and
it seems likely that a panel of judges would be required
ratherthanasingleperson.Inmyopinion,themainprob-
lemwiththeTuringTestisthatitis,asTuringpointedout
inhispaper,an“imitationgame.”Whatitreallytestsisthe
abilityofanintelligententitytoimitateahumanbeing—it
isnotatestofintelligenceitself.Presumablytheconversa-
tioncouldroamintoalmostanyarea,soIthinkitisquite
possiblethatanintelligentmachinemightbetrippedupby
alackofactualhumanexperience.
Therealization ofstrongAIwouldmeanthatatrue
alien intelligencehasappeared right here—rather than in
thesignalsreceivedfromoneoftheradiotelescopesused
bytheSETIproject.Wecouldnotreasonablyexpectsuch
analienentitytothinkjustlikeusornecessarilybeableto
replicateourexperiencesoroutlook.Myguessisthatthe
besttest fortruemachineintelligence willturnouttobe
similartothestandarddevisedbySupremeCourtJustice
PotterStewartforobscenity:we’llknowitwhenweseeit.
If it does occur, the advent of genuinely intelligent
machines will carry with it many potential perils for our
Appendix / Final Thoughts / 245
CopyrightedMaterial–Paperback/Kindle available @ Amazon
society and economy.
*
However, there is a more subtle
danger posed by thespecter of strong AI: it distracts us
fromthefarmoreimmediate economicimpactsthatwill
likelyresultfromnarrowAI.Recentarticlesinthepress
59
havepointedoutthatmachinescurrentlyexhibit“insect-
level”intelligence.Inotherwords,ifweweretosetoutto
buildabroadlyintelligent machinetoday, we’dlikelyend
upwithsomethingaboutassmartasacockroach.
Theproblemwiththatcomparisonisthatitgivesusa
false senseof security; it glosses overtheobvious reality
that cockroaches neither land aircraft nor defeat human
beingsatgamesofchess.Whenmachinecapabilityisfo-
cusednarrowly,thestoryisverydifferent.Ithinkthereis
littledoubtthatinthecomingyearsanddecades,ourdefi-
nitionofwhatconstitutes“narrow”artificialintelligenceis
goingtobroadenquitedramatically.Ifitbroadenstothe
degree that machines begin to encroach on a substantial
fractionofthe jobsthatsupportconsumers,the viability
of capitalism will ultimately be threatened—unless, of
course,oureconomicrulesareadaptedtoreflectthenew
reality.
*
Theseissuesarebeyondthescopeofthisbook.Foragoodintroduc-
tiontothisarea,I’drecommendreading“Whythefuturedoesn’tneed
us,”anarticlewrittenbySunMicrosystemsco-founderBillJoyforthe
April,2000issueofWiredMagazine.
Web:
/>
CopyrightedMaterial–
Paperback/Kindle available @ Amazon
About / Contacting the Author
MartinFordisthefounderofaSiliconValley-basedsoft-
waredevelopmentfirm.Hehasover25yearsexperience
in the fields of computer design and software develop-
ment. He holds an MBA degree from the Anderson
GraduateSchoolofManagementatUCLAandanunder-
graduatedegreeincomputerengineeringfromtheUniver-
sityofMichigan,AnnArbor.
Hehasablogat
.
The author welcomes comments, criticisms and correc-
tionsandcanbecontactedbyemailat:
Theauthoralsohasablogat:
CopyrightedMaterial–
Paperback/Kindle available @ Amazon
NOTES
Introduction
1
LarryPageonAIatGoogle:Web: />11395_3-6160372.html
video: />6160334.html?tag=mncol;txt
2
Kurtzweilhasa$20,000betwithMitchKaporthatacomputerwill
passthe“TuringTest”andthusexhibithuman-likeintelligence(see
lastsectionoftheAppendix)bytheyear2029.Web:
/>
Chapter 1: The Tunnel
3
USCensusBureau,2004,web: />Release/www/releases/archives/education/004214.html
4
Percentageofworld’spopulationinpoverty,seethegraphbasedon
WorldBankdataat
/>stats
.Myfocushereisnotonextremepoverty,whichismeasuredat
1-3dollarsperday,butonanincomelevelthatpreventspeoplefrom
beingviablemassmarketconsumers.
5
DorisKearnsGoodwin,TeamofRivals:ThePoliticalGeniusofAbraham
Lincoln,SimonandSchuster,2005,p77.
6
“Howdeeplythecurseofslavery…”,LetterfromWilliamH.Seward
toAlbertH.Tracy,June25,1835.AlbertH.TracyPapers,NewYork
StateLibrary,AlbanyNY(ascitedinTeamofRivals,p77).
Chapter 2: Acceleration
7
PunchcardsattheUniversityofMichigan:Theuniversitybythen
hadaveryadvancedinteractivetime-sharingsystemcalledthe“Michi-
ganTerminalSystem”orMTS.Moststudentsinadvancedcomputer
scienceandengineeringcoursesusedinteractiveterminals.However,
THE LIGHTS IN THE TUNNEL / 248
CopyrightedMaterial–Paperback/Kindle available @ Amazon
interactivecomputertimewasveryexpensive,sopunchcardswere
stillusedinintroductorycourses.
8
AmdahlMIPSrating:RoyLongbottom’sPCBenchmarkCollection,
Web:
/>9
AllcomputerMIPSratingsaretakenfromWikipedia:
/>MacIntoshandLisacomputersusedtheMotorola68000micropro-
cessorwitharatingof1MIPS.
10
CalculatingtheamountinBill’spocket:Googlemakesthiseasy.Just
enterthefollowinginthesearchbox:
.01*2^((1986-1975)/2)(replace1986withthedesiredyear)
11
RayKurzweil,TheSingularityinNear:WhenHumansTranscendBiology,
NewYork,PenguinGroup,2005
12
““S”and“U”encodedwithintheinterferencepatternsofquantum
electronwaves”,StanfordNewsService:
http://news-
service.stanford.edu/news/2009/january28/small-012809.html
13
Manytechnologistsbelievethattheexponentialprogressofinfor-
mationtechnologywillultimatelyleveloff.Inotherworlds,thegraph
willsomedaybecomean“s-curve,”somewhatsimilarinshapetothe
graphofhumancapabilitythatappearslaterinthe“DiminishingRe-
turns”section(seepage4).However,thereisnowaytoknowhowfar
inthefuturethismightoccur,andthereislittleevidencetosuggestit
willhappenanytimesoon.
14
Formoreon“quants”andthecreationofexoticderivatives,see:
EmmanuelDerman,MyLifeasaQuant:ReflectionsonPhysicsandFinance,
NewYork,JohnWileyandSons,2004.
15
CharlesDickens,OliverTwist.
16
JamesJ.Heckman
andPaulA.LaFontaine,“TheDecliningAmeri-
canHighSchoolGraduationRate:Evidence,Sources,AndConse-
Notes / 249
CopyrightedMaterial–Paperback/Kindle available @ Amazon
quences”,NBERReporter:ResearchSummary2008,Number1,web:
/>17
Literacystudy,web:
/>18
SATScores,Wikipedia: />19
“AutomationTakesTollOnOffshoreWorkers”byPaulMcDou-
gall,InformationWeek,January26,2004.Web:
/>showArticle.jhtml?articleID=17500858
20
“Theshareofemploymentpotentiallyaffectedbyoffshoring”,Feb
23,2006,OrganisationforEconomicCo-operationandDevelopment
(OECD).Web:
/>21
TableofOccupationstakenfrom:AudreyWatson,“Employment
andWagesofTypicalU.S.Occupations”,U.S.BureauofLaborStatis-
tics,May2006.Web:
/>22
“Tech’spartinpreventingattacks”,MichaelKanellos,CNETNews,
July7,2005.Web:
/>preventing-attacks/2100-7348_3-5778470.html
23
Stack,Martin;Gartland,Myles;Keane,Timothy,“Theoffshoring
ofradiology:mythsandrealities”,SAMAdvancedManagementJournal,
January1,2007.Web:
/>30757731_ITM
24
“Nothingtolosebuttheirchains,”TheEconomist,June19,2008.
Web:
/>=hptextfeature&story_id=11575170
25
Jobscreatedbysmallbusiness,see:SBAFAQ.Web:
/>THE LIGHTS IN THE TUNNEL / 250
CopyrightedMaterial–Paperback/Kindle available @ Amazon
26
“WhysoNervousaboutrobots,Wal-Mart?”,July8,2005,Web:
/>27
“FutureStore”Web: />Internet/html/en/20412/index.html
28
AshleeVance,“MicrosoftMappingCoursetoaJetsons-styleFu-
ture”,NewYorkTimes,March1,2009,Web:
/>computing/02compute.html?pagewanted=1&_r=4&hp
29
P.W.Singer,WiredforWar:TheRoboticsRevolutionandConflictinthe
21stCentury,NewYork,PenguinPress,2009,pp140-1.
30
Formoreonnanotechnologyandlivingorganisms,see:RichardA.
L.Jones,SoftMachines:NanotechnologyandLife,Oxford,OxfordUniver-
sityPress,2004.
31
Averagewagesbyeducationlevel:U.S.CensusBureauNewsRe-
lease,January10,2008.Web:
/>Release/www/releases/archives/education/011196.html
32
WilliamEasterly,TheElusiveQuestforGrowth:Economists’Adventures
andMisadventuresintheTropics,Cambridge,MA,MITPress,2002,p.53.
33
“OutsourcingnottheCulpritinManufacturingJobLoss”,Automa-
tionWorld,December9th,2003.Web:
/>34
AlanGreenspan,TheAgeofTurbulence,NewYork,ThePenguin
Press,2007,p.397.
35
ABCNews20/ 20Special,“LastDaysonEarth”,2006
36
KurtzweilpredictstheTechnologicalSingularityby2045:Fortune
Magazine,May14,2007,Web:
/>07/05/14/100008848/
37
“VernorVingeontheSingularity,”Web:
/>
Notes / 251
CopyrightedMaterial–Paperback/Kindle available @ Amazon
Chapter 3: Danger
38
RobertJ.Shapiro,Futurecast:howsuperpowers,populations,andglobaliza-
tionwillchangethewayyouliveandwork,NewYork,St.Martin’sPress,
2008.
39
ThomasL.Friedman,TheWorldisFlat:ABriefHistoryoftheTwenty
FirstCentury,NewYork,Farrar,StrauseandGiroux,2005,2006.
40
China’shighsavingratetheresultofgovernmentpolicy,see:Ea-
monnFingleton,IntheJawsoftheDragon:America’sFateintheComing
EraofChineseHegemony,NewYork,St.Martin’sPress,2008.
41
PietraRivoli,TheTravelsofaT-ShirtintheGlobalEconomy:AnEcono-
mistExaminestheMarkets,PowerandPoliticsofWorldTrade,JohnWiley
andSons,NewYork,2005,p40.
42
Ibid.p142.
43
JeffRubinandBenjaminTal,“WillSoaringTransportCostsRe-
verseGlobalization?,”CIBCWorldMarketsStrategEcon,March27,
2008.Web:
/>44
Revenueperemployeenumbers.Source:GoogleFinance,basedon
2008revenue.
45
“…growthwithoutjobcreation.”,TheEconomist,August11,2003.
Web:
/>_ID=1985889
46
Huether,David,“TheCaseoftheMissingJobs,BusinessWeek,April
3,2006.Web:
/>8116.htm
47
Technicallythismightbebettercalled“regressive”or“reversepro-
gressive”sincethedeductionishigheratlowerwagelevels.However,
thosewordshavenegativeconnotations…
48
FareedZackaria,TheFutureofFreedom:IlliberalDemocracyatHomeand
Abroad,NewYork,W.W.Norton&Co.,2003,p.172-173.
THE LIGHTS IN THE TUNNEL / 252
CopyrightedMaterial–Paperback/Kindle available @ Amazon
49
Blinder,AlanS.,“IsGovernmenttooPolitical?”ForeignAffairs,No-
vember/December1997.Web:
/>blinder/is-government-too-political.html
50
JeremyRifkin,TheEndofWork:TheDeclineoftheGlobalLaborForce
andtheDawnofthePost-MarketEra,NewYork,PenguinGroup,1995.
Chapter 4: Transition
51
CorneliaDean,“ScientificSavvy?InU.S.NotMuch”,NewYork
Times,August30,2005,web:
/>52
SeeChrisAnderson’sTheLongTail:WhytheFutureofBusinessisSelling
LessofMore,abookbasedonanarticleinWiredMagazine,October
2004.Web:
/>53
JohnMaynardKeynes,“EconomicPossibilitiesforourGrandchil-
dren,”(writtenin1930),EssaysinPersuasion,NewYork,W.W.Norton,
1963.Web:
/>p.195footnote,Einstein’sviewontechnologicalunemployment,see:
WalterIsaacson,Einstein:HisLifeandUniverse,NewYork,Simon&
Schuster,2007,p.403.
Chapter 5: The Green Light
54
Formoreonthechallengesofaddressingpoverty,see:WilliamEas-
terly,TheElusiveQuestforGrowth:Economists’AdventuresandMisadventures
intheTropics,Cambridge,MA,MITPress,2002.
Appendix / Final Thoughts
55
A.MTuring,“ComputingMachineryandIntelligence”,Mind,1950.
Web: />Notes / 253
CopyrightedMaterial–Paperback/Kindle available @ Amazon
56
“Frenchstudentsshyofrealworld”,BBCNews,March14,2008.
Web:
/>57
BlueBrainProject,Web: />58
RogerPenrose,TheEmperor’sNewMind:ConcerningComputers,
Minds,andtheLawsofPhysics,OxfordUniversityPress,1989and
ShadowsoftheMind:ASearchfortheMissingScienceofCon-
sciousness,OxfordUniversityPress,1994.
59
Forexample:JohnMarkoff,“ScientistsworrythatMachinesmay
OutsmartMan”,NewYorkTimes,July25,2009.Web:
/>m