IDEAS home Printed from https://ideas.repec.org/a/idt/journl/cs9604.html
   My bibliography  Save this article

The Network is the Robot

Author

Listed:
  • Antonio MANZALINI

    (Innovation, Future Centre, Telecom Italia, Turin)

  • Alexandros STAVDAS

    (University of Peloponnese Tripolis)

Abstract

Ultra-broadband diffusion, information technology (IT) advances and the market mass decreasing costs are determining a growing adoption of processing and storage resources at the edge of current telecom networks that, untimately, are the end-users. The number of devices connected to the network is growing at an exponential rate: embedded communications are everywhere. "Machine intelligence" is rapidly migrating towards the end-user, determining a number of socio-economic implications. Smart cities are going to become populated by any sort of mobile terminals, devices, machines, smart things, sensors, actuators, drones, robots etc. In general, ICT will basically become accessible to enterprises in any part of the world on an (almost) equal basis. In turn, this will reduce the thresholds for new players to enter the ICT services markets, moving the competition towards Opex-based models. This tendency is progressively accelerating and, from a socio-economic perspective, it is going to determine a transition from our society and the economy of resources towards the digital society and the digital economy. In this evolutionary scenario, telecommunications services are likely to be packaged with other services, and new services paradigms will be exploited: as an example, this paper proposes the model "anything-as-a-service", where any devices, machines, smart things, robots, drones, etc. will look like edge intelligent nodes providing the end-users with "any services". This transformation will require an highly flexible and pervasive 5G network, embedding processign and storage and providing high bandwidth, ultra-low latency links so as to create, literally, an innovative "nervous system" for the digital society. Eventually, this evolution will be capable of modernizing urban services such as transport, energy, water, food, education and will create new business opportunity, by integrating, systemically, 5G, big data and robotics.

Suggested Citation

  • Antonio MANZALINI & Alexandros STAVDAS, 2014. "The Network is the Robot," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(96), pages 73-88, 4th quart.
  • Handle: RePEc:idt:journl:cs9604
    as

    Download full text from publisher

    File URL: http://repec.idate.org/RePEc/idt/journl/CS9604/CS96_MANZALINI_STAVDAS.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Phillips, Fred & Linstone, Hal, 2016. "Key ideas from a 25-year collaboration at technological forecasting & social change," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 158-166.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Loebbing, Jonas, 2018. "An Elementary Theory of Endogenous Technical Change and Wage Inequality," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181603, Verein für Socialpolitik / German Economic Association.
    2. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    3. Iftekhairul Islam & Fahad Shaon, 2020. "If the Prospect of Some Occupations Are Stagnating With Technological Advancement? A Task Attribute Approach to Detect Employment Vulnerability," Papers 2001.02783, arXiv.org.
    4. Ayhan, Fatih & Elal, Onuray, 2023. "The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    5. Caroline Lloyd & Jonathan Payne, 2021. "Fewer jobs, better jobs? An international comparative study of robots and ‘routine’ work in the public sector," Industrial Relations Journal, Wiley Blackwell, vol. 52(2), pages 109-124, March.
    6. Gilberto Santos & Jose Carlos Sá & Maria João Félix & Luís Barreto & Filipe Carvalho & Manuel Doiro & Kristína Zgodavová & Miladin Stefanović, 2021. "New Needed Quality Management Skills for Quality Managers 4.0," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    7. Grinis, Inna, 2017. "The STEM requirements of "non-STEM" jobs: evidence from UK online vacancy postings and implications for skills & knowledge shortages," LSE Research Online Documents on Economics 85123, London School of Economics and Political Science, LSE Library.
    8. Zhang, Cheng & Weng, Xiyan, 2024. "Can broadband infrastructure construction promote equality of opportunity? Evidence from a quasi-natural experiment in China☆," Journal of Asian Economics, Elsevier, vol. 93(C).
    9. van den Broek, Tijs & van Veenstra, Anne Fleur, 2018. "Governance of big data collaborations: How to balance regulatory compliance and disruptive innovation," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 330-338.
    10. Daniele Angelini, 2023. "Aging Population and Technology Adoption," Working Paper Series of the Department of Economics, University of Konstanz 2023-01, Department of Economics, University of Konstanz.
    11. Caitlin Allen Whitehead & Haroon Bhorat & Robert Hill & Tim Köhler & François Steenkamp, 2021. "The Potential Employment Implications of the Fourth Industrial Revolution Technologies: The Case of the Manufacturing, Engineering and Related Services Sector," Working Papers 202106, University of Cape Town, Development Policy Research Unit.
    12. Liu, Shasha & Wu, Yuhuan & Kong, Gaowen, 2024. "Politics and Robots," International Review of Financial Analysis, Elsevier, vol. 91(C).
    13. Sony, Michael & Aithal, Sreeramana, 2020. "Transforming Indian Engineering Industries through Industry 4.0: An Integrative Conceptual Analysis," MPRA Paper 102872, University Library of Munich, Germany.
    14. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    15. Thanos Fragkandreas, 2022. "Three Decades of Research on Innovation and Inequality: Causal Scenarios, Explanatory Factors, and Suggestions," Working Papers 60, Birkbeck Centre for Innovation Management Research, revised Feb 2022.
    16. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    17. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    18. Montse Gomendio, 2023. "The Level of Skills in Spain: How to Solve the Puzzle using International Surveys," Studies on the Spanish Economy eee2023-35, FEDEA.
    19. Juan F. Jimeno, 2019. "Fewer babies and more robots: economic growth in a new era of demographic and technological changes," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 93-114, June.
    20. Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2022. "The empirics of technology, employment and occupations: lessons learned and challenges ahead," DISCE - Quaderni del Dipartimento di Politica Economica dipe0028, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

    More about this item

    Keywords

    smart cities; SDN; NFV; 5G; cloud robotics; big data; machines.;
    All these keywords.

    JEL classification:

    • L00 - Industrial Organization - - General - - - General
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O5 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:idt:journl:cs9604. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: BLAVIER Thomas (email available below). General contact details of provider: https://edirc.repec.org/data/idatefr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.