“Artificial Intelligence: A threat or blessing” Analyzing and comparing of Artificial Intelligence a by IRJET Journal

“Artificial Intelligence: A threat or blessing”

Analyzing and comparing of Artificial Intelligence and jobs

- Daivam Arora

Abstract - This research paper summarizes that artificial Intelligence (AI) is rapidly transforming the job landscape, influencingemploymentpatternsacrossindustries.ThisresearchpaperexaminestheimpactofAIonjobs,usingAmazon and Google as case studies to understand how AI-driven automation and innovation are reshaping their workforce. The study explores multiple perspectives, including job displacement, job augmentation, and the creation of new roles, highlightingboththebenefitsandchallengesposed byAI.Furthermore,thepaper analyzestherevenuegeneratedbyAIdriven initiatives in both companies, illustrating how AI contributes to financial growth while altering employment structures. By comparing these two tech giants, the research provides a balanced perspective on AI's influence on job markets, offering insights into the evolving relationship between human labor and machine intelligence. The findings contribute to the broader discourse on AI’s role in the future of work, emphasizing the need for policy adaptations and workforcereskillingtoharnessAI’spotentialeffectively.

1. Introduction:

Artificialintelligenceischangingthejobmarketataratewhereitcan’tbepredictedatanystepsinvolvingopportunities andchallenges.AIis revolutionizing industries by incorporatingtask involving decision makingorautomating repetitive steps.Butthereistwosidesofthestorywheresomeareinfearofjobdisplacementandsomeseeitasanopportunitythat willcreatenewrolesandboostefficiency.

Witheverynewtechnologycomingintoindustry,everyonehavetoacquirethatskillsettobecompetitiveinmarket.AsAI isbeingintegratedintothebusinessesAIdrivensolutionsshouldbeadaptedbydevelopingnewskillsettoholdtechnical development.Butthisintegrationcreateaquestionthatforfutureemploymentwhatskillsetisrequiredforrelevanceand howmuchdependencyissharedbetweenhumanandAI.

2. AI driven methods used in Industry:

AI can be implemented in many industries, whether they are oriented toward products or services. Some of the more popularapplicationsincludeimprovingefficiency,automatingdecisionmaking,andprovidingbettercustomerservice. HerearesomefieldsthatarecurrentlyintegratingAI:

1. Automation:

 AIeliminatestheneedformanualworkbyautomatingdullandtimehungrytasks.

 Example: Robotic Process Automation (RPA) to automate customer service, invoice processing, data entry,etc.

2. PredictiveAnalytics:

 AIcananalyzedatatodeterminelaterpatternsandresults.

 Example:BusinessesapplyingAItooptimizetheirsupplychains,forecastsales,ordetectfraud.

3. NaturalLanguageProcessing(NLP)

 AIallowscomputerstounderstandandreplytousersinhumanlanguages.

 Example:Chatbots,sentimentanalysisoncustomerfeedback,virtualassistantslikeChatGPT.

4. ComputerVision

 AIisusedtoautomateprocessesandimprovesecuritybyanalyzingandinterpretingknowninformation.

 Example:Selfdrivingcars,qualitycontrolinmanufacturing,facialrecognition.

5. AI-PoweredPersonalization

 AImoderatesuserexperiencesalongsideusagedatatotailortoindividualneeds.

 Example:PersonalizedrecommendationsoneCommercesites,targetedads,Netflix.

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 12 Issue: 04 | Apr 2025 www.irjet.net p-ISSN:2395-0072

6. AIApplicationsInRecruitingandHumanResources

 Artificial Intelligence aids in the engagement of employees, and preselects candidates by attending to theirdatadiligently.

 Forexample,thereareAIrecruitmentapplicationsthattakethejobdescriptioninamandthecandidates curriculumvitaetofindamatchingcandidate.

7. CybersecurityandFraudMonitoring

 In AI, abnormal behavior is classified to mitigate risk and avoid security threat breaches as well as preventfraudulentactivities.

 Forexample,BanksappliesAIsystemsforoperationsandflagsuspicioustransactions.

8. AIInIndustrialActivitiesandAIServices

 AI Decreases costs incurred through human input by facilitating automation of business processes like predictive inventory management, systems renewal and maintenance, forecasting scheduling, managing production,andcontrollingstocklevels.

 For example, Automated guided vehicles, smart systems for early failure detection, and automatic selfservicestorage.

9. AIinFinanceandInvestment

 TheanalysisofdatainAIcanbedoneforfraudmitigation,investmentriskmonitoring,andusingseveral techniquesforbusinessintelligenceandfinancialanalysis.

 Forinstance,Roboadvisors,andAIpredictingofstockprices.

10. AIInCareFacilities

 AItechnologyisutilizedincomputervisionforautomaticdiagnosisofpatients,andautomatedprovision ofprescriptionmedication.

 Forexample,AIinimagingdevicesandvoicerecognitionsystemsusedinhealthcareservices.

Byadoptionoftheaforementionedapproach,aswellasothersrelatedtotheintegrationofintelligentcomputing systems, costumers become more satisfied while the efficiency is increased, expenses minimized. Also, ethical issues,concernsaroundprivacyofdata,andworkforcechangeshavetoberectifiedinordertofullybenefitfrom AItechnology.

3. Do People Really Lose Jobs Due to AI?

AI is revolutionizing businesses by streamlining operations, performing tasks more rapidly, and cutting costs. However, the advancement of AI also raises the question of whether it threatens a job’s existence. At the same time, AI has eliminatedcertainpositions,ithasalsoopeneddoorsforindividualswithfreshskillsandroles.

MostAIAffectedJobRoles

Somejobsthatdealwithmonotonous,predictableworkloadsaremoreatriskforautomation,suchas:

1. Manufacturing&AssemblyLineJobs

 Workersinfactoriesaregettingreplacedfordutiessuchaswelding,packagingandqualitycontrolby RobotsandAIpoweredmachines.

 Example:AutomatedproductionlinesatTeslafactories.

2. CustomerService&CallCenters

 Human agents are not being needed as much with the rise of AI powered chatbots and virtual assistantstakingcareofcustomercallsandquestions.

 Example:ChatbotsincustomerservicelikeChatGPTorGoogleBard.

3. RetailCashierJobs

 Thesejobsarecutdownwiththeintroductionofself-servicecheckout,aswellasAIbasedstocklevel managementsystems.

 Example:Amazoncashierfreestores.

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 12 Issue: 04 | Apr 2025 www.irjet.net p-ISSN:2395-0072

4. AdministrativeAssistantRoles

 Removing data entering tasks from a human workload is taking processing documents, verifying themandreportingthemthroughAI.

 Example:RPAinfinanceandHR.

5. TransportationandDeliveryServices

 Incertainregions,autonomousvehiclesanddronesaretakingovertherolesofdriversanddelivery staff.

 Example:Trucksthatdrivethemselvesandrobotsfordeliveries.

6. BankingandFinancialServices

 AlgorithmspoweredbyAIareresponsibleforprocessingloanapprovals,detectingfraud,andmaking investmentchoices.

 Example:Automatedadvisorsinmanagingwealth.

JobsthatAIisgeneratingandchanging.WhilesomejobsarebeingautomatedbyAInewpositionsrequiringhumanskills arealsobeingcreated.

1. Professionals with expertise in AI and machine learning are in greater demand as are data scientists and AI engineers.

2. Expertsincybersecurity:AImakesdigitalthreatsmoreprevalentnecessitatingtheneedforsecurityspecialists.

3. AIEthics&ComplianceOfficers:ToguaranteetheethicaluseofAIbusinessesrequireprofessionals.

4. AITrainersandQuickEngineers:ToimproveAImodelshumansarerequired.

5. HealthcareTechSpecialists:HumansupervisionisnecessaryforroboticsurgeryandAI-assisteddiagnostics.

 TipsforRemainingRelevantintheAIAge.

1. Upskilling & Reskilling: Acquire knowledge of AI-related fields like cybersecurity programming and data analytics.

2. EmphasisonCriticalThinkingandCreativity:AIisnotascreativeoremotionally Intelligentashumans.

3. Accept AI as a Tool: Rather than being afraid of AI make use of it to improve decision-making and productivity. In conclusion. Unquestionably AI is changing the nature of work rather than totally replacing humanlaborinthelabormarket.PeoplewholearnnewskillstoadjusttoAI-drivenchangeswill havemore optionsinthechanginglabormarket.

4. The AI Market: Growth, Trends, and Future Outlook

The market for Artificial Intelligence (AI) is among the rapidly expanding sectors, reshaping companies and economies globally. Due to progress in machine learning, deep learning, and automation, AI is being incorporated into diverse industries,rangingfromhealthcaretofinanceandentertainment.

AIMarketDimensions&Expansion:

 TheworldwideAImarketisprojectedtoattain$1.8trillionby2030,advancingataCAGRof35-40%.

 Significant funding is being provided by technology leaders such as Google, Microsoft, OpenAI, and NVIDIA, in additiontostartupsdevelopinginnovativeAI-basedapplications.

 The surge in cloud computing capabilities, big data analytics, and the need for automation is driving the fasttrackingofAIadoption.

 MainSegmentsintheAIMarket

1. AIApplications&Systems

 Frameworksformachinelearning(TensorFlow,PyTorch)

 ApplicationspoweredbyAI(ChatGPT,Copilot,DALL·E)

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 12 Issue: 04 | Apr 2025 www.irjet.net p-ISSN:2395-0072

2. ArtificialIntelligenceinHealthcare

 DiagnosticsaidedbyAI,surgeriesperformedbyrobots,anddiscoveryofnewdrugs

3. ArtificialIntelligenceinFinanceandBanking

 Identifyingfraud,automatedtrading,andchatbotsforclientsupport

4. IntelligenceinRetailandE-commerce

 Customizedsuggestions,stockcontrol,andAI-basedadvertising

5. AIinSelf-DrivingCars

 Autonomousdrivingtechnology(Tesla,Waymo)andAI-driventrafficcontrol

6. ArtificialIntelligenceinCybersecurity

 Identifyingthreats,automatedriskassessment,andAI-drivensecuritymeasures

7. ArtificialIntelligenceinContentGeneration&Entertainment

 Images,videos,music,andautomatednewsarticlescreatedbyAI

 InsightsintoRegionalMarkets

 NorthAmericaspearheadsAIimplementationthankstorobusttechnologicalinfrastructureandfunding.

 The Asia-Pacific region is expanding swiftly, propelled by the emphasis on AI research and industrial automationinChinaandIndia.

 Europe is making significant investments in ethical AI and regulations to harmonize growth with responsibledevelopmentofAI.

 DifficultiesintheAIIndustry

 EthicalIssues–AIprejudice,falseinformation,anddataconfidentialitymatters.

 JobDisplacement–Automationtakingoverconventionalpositionsinsectors.

 Regulations&Compliance–AuthoritiesimplementingAIregulationstoavertmisuse.

 Substantial Implementation Expenses – Embracing AI necessitates considerable expenditure on technology andspecializedknowledge.

 ProspectsfortheAIMarket

 Growth of Generative AI – Platforms such as ChatGPT, MidJourney, and Sora are revolutionizing creative sectors.

 AIinRoboticsandAutomation–TheadoptionofAI-poweredroboticsinsectorslikemanufacturing,logistics, andhealthcarewillexperiencesignificantgrowth.

 CollaborationbetweenAIandHumans–Insteadofsubstitutinghumanroles,AIwillenhancedecision-making andefficiency.

 Quantum AI – Upcoming AI models will utilize quantum computing to enhance speed and tackle more intricateproblems.

The AI sector is thriving, transforming industries and economies globally. Businesses and people who adopt AI advancementsandadjusttotheevolvingenvironmentwillgainacompetitiveadvantageinthedigitalage.

5. Data and graphs associated with layoffs and AI:

1. NumberofEmployeeworkinginGoogle:

Year NumberofEmployeeworkinginGoogle

2015 61814

2016 72053

2017 80110

2018 98771

2019 118899

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 12 Issue: 04 | Apr 2025 www.irjet.net

2. NumberofEmployeeworkinginGoogle:

230800

341400

566000

647500

798000

1298000

1608000

1541000

1525000

1521000

3. RevenuefromAIinUSA(inbilliondollars):

4. RevenuefromAIinUSA(inbilliondollars):

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 12 Issue: 04 | Apr 2025 www.irjet.net p-ISSN:2395-0072

5. Numberofemployeeslaidoffquarterwisefrom2020to2024:

No.ofemployeelaidoffquarterwisefrom2020to2024 Year Quarter 2020

Q1 9628

Q2 60141

Q3 9690

Q4 1509 2021 Q1 6928

Q2 2695 Q3 2108

Q4 3292 2022 Q1 9829 Q2 34183

Q3 35174

Q4 84929 2023

Q1 167574

Q2 46433

Q3 25535 Q4 23638 2024 Q1 57269 Q2 43517

Q3 38936 Q4 12382

No.ofemployeelaidoffquaterwisefrom2020to2024

Graph1:Bargraphofemployeelaidofffrom2020to2024

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 12 Issue: 04 | Apr 2025 www.irjet.net p-ISSN:2395-0072

6. Majorcompanieslayingoffemployeein2022-2023:

Layoffcompanywise-2022

Graph2:Piechartofcompaniesandlayoffin2022

Layoffcompanywise-2023

Graph3:Piechartofcompaniesandlayoffin2023

Meta Amazon Microsoft Accenture Dell

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 12 Issue: 04 | Apr 2025 www.irjet.net p-ISSN:2395-0072

7. %ofSectorwisemajorlayoffworldwide:

Graph4:Piechartofpercentagelayoffindifferentsectors

6. Calculations:

a. NumberofEmployeeworkinginGoogle:

Ingraph,x-axisasyearsfrom2015to2024andY-axisshownumberofemployeesworkingingoogle.

Let’sconsider2015as1,2016as2……..2024as10.

Aftermanuallydrawinggraphanonexcel. Weconcludedcubicequationcoversmaximumnumberofplots

Consideringy=Ax3+Bx2+Cx+D.

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 12 Issue: 04 | Apr 2025 www.irjet.net p-ISSN:2395-0072

NumberofEmployeeworkinginGoogle

Graph5:Calculatedvsactualdatafornumberofemployeesworkingingoogle

Formula:

Where“y’isnumberofemployeesworkingingoogle And“x”represents1,2,3……(1represents2015,2represents2016andsoon.

b. NumberofEmployeeworkinginAmazon(globally):

Ingraph,x-axisasyearsfrom2015to2024andY-axisshownumberofemployeesworkinginAmazon.

Let’sconsider2015as1,2016as2……..2024as10.

Aftermanuallydrawinggraphanonexcel. Weconcludedcubicequationcoversmaximumnumberofplots

Consideringy=Ax3+Bx2+Cx+D.

NumberofEmployeeworkinginAmazon

Graph6:Calculatedvsactualdatafornumberofemployeesworkinginamazon

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 12 Issue: 04 | Apr 2025 www.irjet.net p-ISSN:2395-0072

Formula: y= -344.21*x3+5590.49*x2-9715.63*x+68627.37

Where“y’isnumberofemployeesworkingingoogle And“x”represents1,2,3……(1represents2015,2represents2016andsoon.

c. RevenuefromAIinUSA(inbilliondollars):

Ingraph,x-axisasyearsfrom2015to2024andY-axisshowrevenuefromAIinUSA(inbilliondollars)

Let’sconsider2015as1,2016as2……..2024as10.

Aftermanuallydrawinggraphanonexcel.

Weconcludedcubicequationcoversmaximumnumberofplots

Consideringy=A*Bx

RevenuefromAIinUSA(inbilliondollars)

Actual Calculated

Graph7:CalculatedvsactualdataforrevenuefromAIinUSA

Formula: y= 118.88*(1.39) x

Where“y’isrevenuefromAIinUSA(inbilliondollars) And“x”represents1,2,3……(1represents2015,2represents2016andsoon.

d. RevenuefromAIglobally(intrilliondollars):

Ingraph,x-axisasyearsfrom2015to2024andY-axisshowrevenuefromAIinUSA(inbilliondollars)

Let’sconsider2015as1,2016as2……..2024as10.

Aftermanuallydrawinggraphanonexcel.

Weconcludedcubicequationcoversmaximumnumberofplots

Consideringy=A*Bx

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

RevenuefromAIglobally(trilliondollars)

Graph8:CalculatedvsactualdataforrevenuefromAIinUSA

Formula: y= 71.01*(1.04) x

Where“y’isrevenuefromAIglobally(intrilliondollars) And“x”represents1,2,3……(1represents2015,2represents2016andsoon.

7. Conclusion:

The integration of Artificial Intelligence (AI) across various industries is reshaping the global and U.S. job markets in unprecedented ways. Through an analytical lens, we examined AI revenue trends both in the United States and worldwide andfoundadistinctexponentialgrowthpattern,indicatingarapidlyacceleratingadoptionandmonetization of AI technologies. In contrast, the employment data from major tech corporations like Google and Amazon reveals a downward cubic trajectory, reflecting a significant decrease in workforce despite rising revenues. Our study also delves into broader economic implications, highlighting how AI-driven sectors such as automation, data analytics, and machine learning are transforming productivity models and redefining workforce requirements. While AI continues to fuel economic growth and operational efficiency, it simultaneously contributes to layoffs and structural shifts in employment patterns. This dual-edged nature of AI enhancing efficiency while displacing certain job categories presents both opportunities and challenges for policymakers and organizations. The data clearly supports the premise that while AI servesasacatalystforrevenuegeneration,italsonecessitatesareimaginingofhumanrolesintheeconomy.Aswemove forward, it is essential to develop adaptive strategies that balance innovation with workforce resilience, emphasizing upskilling,ethicaldeployment,andinclusivegrowth.

"Therealquestionis,whenwillwedraftanartificialintelligencebillofrights?Whatwillthatconsistof?Andwhowill get todecidethat?" GrayScott

8. References

1. Lee, Kai-Fu. 2021. AI 2041: Ten Visions for Our Future. New York: Crown Publishing Group. https://www.penguinrandomhouse.com/books/670334/ai-2041-by-kai-fu-lee/

2. Manyika,James,MichaelChui,JacquesBughin,RichardDobbs,PeterBisson,andAlexMarrs.2017."JobsLost,Jobs Gained: Workforce Transitions in a Time of Automation." McKinsey Global Institute. https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-workwill-mean-for-jobs-skills-and-wages

International Research Journal of Engineering and Technology (IRJET) e-ISSN:2395-0056

Volume: 12 Issue: 04 | Apr 2025 www.irjet.net p-ISSN:2395-0072

3. Statista. 2024. “Artificial Intelligence (AI) Market Revenue Worldwide from 2018 to 2030.” Statista Research Department. https://www.statista.com/statistics/941835/worldwide-artificial-intelligence-market-revenues/

4. Statista. 2024. “Artificial Intelligence (AI) Market Revenue in the United States from 2020 to 2030.” Statista Research Department https://www.statista.com/statistics/1227191/us-artificial-intelligence-market-size/

5. Alphabet Inc. 2024. “Alphabet Annual Report 2023 (10-K).” U.S. Securities and Exchange Commission. https://abc.xyz/investor/static/pdf/2023_alphabet_annual_report.pdf

6. Amazon.com Inc. 2024. “Amazon Annual Report 2023 (10-K).” U.S. Securities and Exchange Commission. https://www.amazon.com/ir

7. OpenAI. 2023. “The Economic Impacts of GPT and AI-Language Models.” OpenAI Research Blog. https://openai.com/research/the-economic-impact-of-ai

8. InternationalLabourOrganization(ILO).2023.“GenerativeAIandJobs:AGlobalPerspective.” ILOBrief,July2023 https://www.ilo.org/global/publications/working-papers/WCMS_890017/lang en/index.htm

9. Biography:

Daivam Arora

St Columba’s School 12thGrade

- Ex-InternatCharityBasedStartups-Sports4Change&Debate4Change

- Rank1inGrade11inMathematicsandPhysics

- Rank2OverallinGrade11,St. Columba’sSchool

- InvitedtotheLodhaGeniusProgramattheAshokaUniversity,throughameritbasedselectionprocessforthe country’sbestmindsinMathematics.

- FounderofCyber-SecurityCommittee,St.Columba’sSchool

- Top5inanationaldebate,rotaryclub,Delhi

- SchooltopperinMathematicsandEnglishOlympiads,10thGrade(Silverzone)

- CBSERank3inSchool,2023-24boardexams,10thGrade(96.2%)

- CreativeWriter,AuthorofNewsletterbasedonWomen’sRights.

- ProfessionalMUNner,highexperiencewith10+wins.

- IBMCertified,foracourseinProgrammingandDataScience.

Undertheguidanceof:

Dr. Mamta Jain

- M.Sc(Mathematics)(Doublegoldmedalist)

- M.Phil(ComputerApplications)withhonorsFromUniversityofRoorkee(nowIITRoorkee)

- PhD(Mathematics)-Variouspaperspublishedininternationaljournals

- FormerLeadAuditorISO9001,ISO-22000SchoolAccreditationExaminerbyQCI

- 26yearsofteachingexperience

- VariousResearchPaperPublished

Er. Raunaq Jain

- B.EMechanicalEngineeringFromThaparInstituteofEngineeringandTechnology

- DistrictPhysicsTopper

- ContentWriterandgraphicdesigner

- MechanicalMentorfromsession2019-2020

- UpcomingDataAnalystatDeloitte