incwadi yovavanyo esekelwe «Spiral
Dynamics: Mastering Values, Leadership,
and Change» (ISBN-13: 978-1405133562)
Abaxhasi

Future of Jobs and Generative AI

The advent of large language models (LLMs) like ChatGPT promises to transform the workplace by automating or augmenting a wide range of occupational tasks. However, a single perspective cannot fully grasp both the opportunities and risks these technologies represent across industries, workers, businesses and society. This article analyzes the World Economic Forum’s recent white paper [1] assessing the impact of LLMs on jobs through the lens of Spiral Dynamics. This integral framework reveals how different value systems perceive threats and opportunities differently. Administrative roles face disruption but efficiency gains (Blue). Innovative businesses are pressured to adopt but see new revenue potential (Orange). Vulnerable workers require support amidst job transformations (Green). Policymakers struggle to holistically analyze systemic impacts (Yellow). Realizing the benefits of LLMs requires honoring multiple worldviews, evolving processes, encouraging innovation, caring for people and conducting systems analysis. The analysis provides insights into LLMs’ multi-dimensional impacts and underscores the need for inclusive dialogue and initiatives to shape the AI-enabled future of work.


Here are the key points:

  1. LLMs could significantly impact many jobs due to their ability to automate or augment language-based tasks, which account for an estimated 62% of work time.
  2. The analysis assessed over 19,000 work tasks across 867 occupations to assess their LLM exposure. Tasks with high automation potential are routine and repetitive clerical/administrative tasks. Tasks with high augmentation potential require more abstract reasoning and problem-solving. Tasks with lower exposure potential emphasize interpersonal interaction.
  3. Occupations with the highest automation potential include credit authorizers, telemarketers, statistical assistants, and tellers. Occupations with the highest augmentation potential include insurance underwriters, bioengineers, mathematicians, and editors. Occupations with lower exposure include counselors, clergy, home health aides, and lawyers.
  4. Adopting LLMs will also likely create new roles like AI developers, content creators, interface designers, data curators, and AI ethics specialists.
  5. The financial services and information technology industries have the overall highest potential exposure. The finance and IT functional areas also have increased exposure.
  6. Significant alignment exists between occupations this analysis identifies as having high augmentation potential and those the Future of Jobs Report found to have high expected job growth. Similarly, occupations with high automation potential align with declining occupations.
  7. The report concludes LLMs will transform jobs and tasks, requiring strategies by businesses and government to prepare workforces for the change through training, transition support, and social safety nets. Overall, LLMs present opportunities to raise productivity and create new jobs, if managed responsibly.



Spiral Dynamics stages



What color are you Spiral Dynamics?


ColorBeigePurpleRedBlueOrangeGreenYellowTurquoise
In a lifeSurvivalFamily relationsThe rule of forceThe power of truthCompetitionInterpersonal relationsFlexible streamThe Global vision
In a businessOwn farmFamily businessStarting up a personal businessBusiness Process ManagementProject managementSocial networksWin-Win-Win behaviorSynthesis

Here is an analysis of the World Economic Forum white paper on large language models and jobs through the lens of Spiral Dynamics stages:


Spiral Dynamics StageQuotes from Document
 Beige No relevant quotes
 Purple No relevant quotes
 Red No relevant quotes
 Blue "With 62% of total work time involving language-based tasks, the widespread adoption of LLMs, such as ChatGPT, could significantly impact a broad spectrum of job roles." (p.4) This reflects the blue focus on structure, process and order.
 Orange "Adopting LLMs will transform business and the nature of work, displacing some existing jobs, enhancing others and ultimately creating many new roles." (p.19) This reflects the orange drive for innovation and progress.
 Green "Governments can also partner with and support employers and educational institutions to provide training programs that prepare workers for the jobs that will grow and benefit the most from LLMs. Additionally, social safety nets and assistance in transitioning to new roles will need to be reimagined and be more precisely targeted for those most likely to be affected." (p.19) This reflects the green concern for people and relationships.
 Yellow "To assess the impact of LLMs on jobs, this paper provides an analysis of over 19,000 individual tasks across 867 occupations, assessing the potential exposure of each task to LLM adoption, classifying them as tasks that have a high potential for automation, high potential for augmentation, low potential for either or are unaffected (non-language tasks). The paper also provides an overview of new roles that are emerging due to the adoption of LLMs." (p.4) This reflects yellow's emphasis on complex systems analysis.
 Turquoise No relevant quotes


The document overall reflects blue, orange, and green worldviews, with some elements of yellow systems thinking. There are no clear expressions of the beige, purple, red or turquoise value systems. This analysis illustrates how technology impacts different aspects of society and values.



Threats



Here is an analysis of threats and affected stakeholders through the lens of Spiral Dynamics stages:


Spiral Dynamics StageThreatsAffected Stakeholders
 Beige No major threats identified N/A
 Purple No major threats identified N/A
 Red No major threats identified N/A
 Blue Disruption of administrative processes and routines Organizations, administrative staff
 Orange Pressure to rapidly adopt new technologies Businesses, managers
 Green Job losses, inequality, lack of support during transition Individual workers, marginalized groups, society
 Yellow Complexity of analyzing and managing impacts Policy-makers, business leaders
 Turquoise No major threats identified N/A


In summary, the blue stage is threatened by disruption of established administrative processes, the orange faces pressure to innovate, the green risks job losses and inequality, and the yellow struggles with complex systems analysis. This highlights how different worldviews perceive threats and opportunities from the same technology trend. A holistic perspective is needed to understand the range of stakeholders and design responsible policies.


Elon Musk said about the danger of artificial intelligence (A.I.) in an interview with Tucker Carlson in April 2023. Below you can read an abridged version of the results of our VUCA poll "A.I. and the end of civilization". The full version of the results is available for free in the FAQ section after login or registration.

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Country
Language
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Phinda
Ixabiso elibalulekileyo lomlinganiso wolungelelwaniso
Ukuhanjiswa okuqhelekileyo, nge-william gosset (umfundi) r = 0.0755
Ukuhanjiswa okuqhelekileyo, nge-william gosset (umfundi) r = 0.0755
Ukusasazwa okuqhelekileyo, nge-spearman r = 0.0031
UkuhanjiswaAyiqhelekangaEqhelekileyoAyiqhelekangaEqhelekileyoEqhelekileyoEqhelekileyoEqhelekileyoEqhelekileyo
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Yonke imibuzo
1) Ukhuseleko (uvumelana kangakanani okanye akuvumelani?)
2) Ulawulo (Uvumelana kangakanani okanye awuvumelani?)
1) Ukhuseleko (uvumelana kangakanani okanye akuvumelani?)
Answer 1-
HIV amandla
0.0682
HIV amandla
0.0110
HIV amandla
0.0977
Emibi amandla
-0.1157
Emibi amandla
-0.0035
Emibi amandla
-0.0475
HIV amandla
0.0158
Answer 2-
HIV amandla
0.0200
Emibi amandla
-0.0003
HIV amandla
0.0423
Emibi amandla
-0.0274
HIV amandla
0.0470
Emibi amandla
-0.0066
Emibi amandla
-0.0619
Answer 3-
Emibi amandla
-0.0188
Emibi amandla
-0.0426
HIV amandla
0.0018
HIV amandla
0.0444
Emibi amandla
-0.0102
Emibi amandla
-0.0112
HIV amandla
0.0176
Answer 4-
HIV amandla
0.0285
Emibi amandla
-0.0012
HIV amandla
0.0088
Emibi amandla
-0.0351
Emibi amandla
-0.0326
Emibi amandla
-0.0154
HIV amandla
0.0511
Answer 5-
HIV amandla
0.0035
Emibi amandla
-0.0114
Emibi amandla
-0.0155
HIV amandla
0.0496
HIV amandla
0.0013
HIV amandla
0.0348
Emibi amandla
-0.0537
Answer 2-
Emibi amandla
-0.0262
Emibi amandla
-0.0539
Emibi amandla
-0.0741
HIV amandla
0.0817
Emibi amandla
-0.0093
HIV amandla
0.0529
HIV amandla
0.0023
Answer 6-
Emibi amandla
-0.0657
HIV amandla
0.1012
Emibi amandla
-0.0584
Emibi amandla
-0.0015
HIV amandla
0.0004
Emibi amandla
-0.0020
HIV amandla
0.0258
2) Ulawulo (Uvumelana kangakanani okanye awuvumelani?)
Answer 7-
HIV amandla
0.0214
HIV amandla
0.0207
HIV amandla
0.0698
HIV amandla
0.0462
Emibi amandla
-0.0222
Emibi amandla
-0.0729
Emibi amandla
-0.0494
Answer 8-
HIV amandla
0.0141
Emibi amandla
-0.0314
Emibi amandla
-0.0488
HIV amandla
0.0309
HIV amandla
0.0914
Emibi amandla
-0.0160
Emibi amandla
-0.0441
Answer 9-
HIV amandla
0.0128
Emibi amandla
-0.0353
Emibi amandla
-0.0404
HIV amandla
5.14E-5
Emibi amandla
-0.0085
HIV amandla
0.0521
HIV amandla
0.0133
Answer 10-
HIV amandla
0.0266
HIV amandla
0.0063
HIV amandla
0.0137
Emibi amandla
-0.0576
Emibi amandla
-0.0056
Emibi amandla
-0.0166
HIV amandla
0.0403
Answer 11-
Emibi amandla
-0.0106
HIV amandla
0.0267
HIV amandla
0.0518
HIV amandla
0.0339
Emibi amandla
-0.0746
HIV amandla
0.0136
Emibi amandla
-0.0287
Answer 8-
Emibi amandla
-0.0957
Emibi amandla
-0.0431
Emibi amandla
-0.0061
HIV amandla
0.0068
HIV amandla
0.0102
HIV amandla
0.0746
HIV amandla
0.0131
Answer 12-
HIV amandla
0.0026
HIV amandla
0.0758
Emibi amandla
-0.0259
Emibi amandla
-0.0785
Emibi amandla
-0.0342
Emibi amandla
-0.0055
HIV amandla
0.0805


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Opportunities



Here is an analysis of opportunities and affected stakeholders through the lens of Spiral Dynamics stages:


Spiral Dynamics StageOpportunitiesAffected Stakeholders
 Beige No major opportunities identified N/A
 Purple No major opportunities identified N/A
 Red No major opportunities identified N/A
 Blue Increased efficiency of administrative processes Organizations, administrative staff
 Orange Creation of new business models and revenue streams Businesses, entrepreneurs
 Green Upskilling workers, maintaining an inclusive workforce Individual workers, marginalized groups, society
 Yellow Holistic analysis of technology's impact on work Policy-makers, business leaders
 Turquoise No major opportunities identified N/A


In summary, blue sees opportunities for improved efficiency, orange in innovation and profit, green in supporting workers, and yellow in systems analysis. This highlights how different worldviews perceive opportunities from the same technology trend. An integral perspective is required to balance opportunities for organizations and individuals.


GAP Analysis



Here is a GAP analysis from a Spiral Dynamics perspective:


Spiral Dynamics StageGAP Analysis
 Beige No major gap identified
 Purple No major gap identified
 Red No major gap identified
 Blue GAP: Lacks discussion of how to evolve administrative processes rather than just making existing ones more efficient
 Orange GAP: Could provide more examples of how new business models and industries could arise from LLMs
 Green GAP: More detail is needed on programs to support workers through transitions and ensure opportunities are inclusive
 Yellow GAP: Deeper analysis required on technological impacts across education, business, and government domains
 Turquoise GAP: Holistic vision absent - how could LLMs improve society and actualization beyond business impacts?


In summary, blue could be used more on process evolution, orange on business model innovation, green on worker support, yellow on cross-domain impacts, and turquoise on realizing higher human potential. This reflects common gaps faced when new technologies are viewed primarily through one worldview lens rather than holistically. An integral perspective is needed to fully understand impacts and opportunities.


Overcome Gaps



Here are some suggested measures to overcome the gaps through the lens of Spiral Dynamics perspective:


Spiral Dynamics StageSuggested Measures to Overcome GAPs
 Beige N/A
 Purple N/A
 Red N/A
 Blue Conduct process redesign workshops to evolve administrative workflows
 Orange Research case studies and build scenarios describing new LLMs-enabled business models
 Green Profile reskilling programs and multi-stakeholder partnerships to support workers
 Yellow Model impacts of LLMs on education, healthcare, government, and other complex systems
 Turquoise Envision how LLMs could advance human potential and consciousness evolution


In summary, suggested measures include:
  • Blue: Process redesign workshops
  • Orange: New business model research
  • Green: Reskilling program profiles
  • Yellow: Modelling systemic impacts
  • Turquoise: Envisioning advancing human potential

This highlights the value of taking a holistic perspective and utilizing tools and ways of thinking from multiple stages and worldviews to fully understand and act upon the opportunities presented by emerging technologies like large language models.


Conclusion



The Spiral Dynamics framework reveals that the opportunities and threats presented by large language models are perceived differently across value systems. Blue sees potential efficiency gains but disruption of administrative routines. Orange focuses on innovation possibilities but feels pressured to rapidly adopt. Green emphasizes supporting impacted workers but risks exacerbating inequalities. Yellow provides systems analysis but grapples with complexity.

Fully realizing the benefits of large language models in the workplace and society requires transcending any worldview. An integral approach that honors multiple perspectives is needed. This includes evolving processes, encouraging innovation, caring for people, and systemic analysis. Further, a holistic vision looks beyond business impacts to how emerging technologies can advance human potential and social actualization.

By understanding these different value perspectives, businesses, policymakers, and workers can collaboratively shape the future of work in the age of artificial intelligence. A shared vision arises when stakeholders cooperate across stages of psychological and social development. This white paper provides insights into the multi-dimensional impacts of large language models across industries, occupations, and societal roles. Yet more inclusive dialogue and initiatives are needed to proactively guide this technology for the benefit of all.


[1] https://www3.weforum.org/docs/WEF_Jobs_of_Tomorrow_Generative_AI_2023.pdf

2023.10.12
I-Valerii Kosenko
uMnini weMveliso i-SaaS SDTEST®

U-Valerii wayefaneleka njenge-social pedagogue-psychologist ngo-1993 kwaye ukususela ngoko uye wasebenzisa ulwazi lwakhe kulawulo lweprojekthi.
UValerii wafumana isidanga seMasters kunye neprojekthi kunye nesiqinisekiso somphathi weprogram ngo-2013. Ngexesha lenkqubo yakhe ye-Master, waqhelana neProjekthi yeNdlela yeNdlela (GPM Deutsche Gesellschaft für Projektmanagement e. V.) kunye ne-Spiral Dynamics.
UValerii ngumbhali wokuphonononga ukungaqiniseki kweV.U.C.A. Ingqiqo kusetyenziswa iSpiral Dynamics kunye nezibalo zezibalo kwipsychology, kunye ne-38 yokuvota kumazwe ngamazwe.
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