Who profits the most from generative AI?
Since the launch of ChatGPT, interest and investments in generative AI technologies have surged. Which players stand to gain the most from the growth and adoption of this technology? Analyzing the factors underlying generative AI's allows us to identify points of differentiation. Given that the...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
[Cambridge, Massachusetts]
MIT Sloan Management Review
2024
|
Ausgabe: | [First edition]. |
Schlagworte: | |
Online-Zugang: | lizenzpflichtig |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
LEADER | 00000nam a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-102564728 | ||
003 | DE-627-1 | ||
005 | 20240429114546.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240429s2024 xx |||||o 00| ||eng c | ||
035 | |a (DE-627-1)102564728 | ||
035 | |a (DE-599)KEP102564728 | ||
035 | |a (ORHE)53863MIT65331 | ||
035 | |a (DE-627-1)102564728 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
082 | 0 | |a 006.3 |2 23/eng/20240416 | |
100 | 1 | |a Hosanagar, Kartik |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a Who profits the most from generative AI? |c Kartik Hosanagar, Ramayya Kirshnan |
250 | |a [First edition]. | ||
264 | 1 | |a [Cambridge, Massachusetts] |b MIT Sloan Management Review |c 2024 | |
300 | |a 1 online resource (8 pages) |b illustrations | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Reprint 65331, Spring 2024 issue. - Includes bibliographical references | ||
520 | |a Since the launch of ChatGPT, interest and investments in generative AI technologies have surged. Which players stand to gain the most from the growth and adoption of this technology? Analyzing the factors underlying generative AI's allows us to identify points of differentiation. Given that the technology is resource and data intensive and benefits from network effects, incumbents have the greatest advantage; however, there are some areas where new entrants can create and capture value. | ||
630 | 2 | 0 | |a ChatGPT |
650 | 0 | |a Artificial intelligence |x Economic aspects | |
650 | 0 | |a Technological innovations |x Economic aspects | |
650 | 4 | |a Intelligence artificielle ; Aspect économique | |
650 | 4 | |a Innovations ; Aspect économique | |
700 | 1 | |a Krishnan, R. |e VerfasserIn |4 aut | |
856 | 4 | 0 | |l TUM01 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/53863MIT65331/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-102564728 |
---|---|
_version_ | 1818767370256121856 |
adam_text | |
any_adam_object | |
author | Hosanagar, Kartik Krishnan, R. |
author_facet | Hosanagar, Kartik Krishnan, R. |
author_role | aut aut |
author_sort | Hosanagar, Kartik |
author_variant | k h kh r k rk |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)102564728 (DE-599)KEP102564728 (ORHE)53863MIT65331 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
edition | [First edition]. |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01929nam a22003972 4500</leader><controlfield tag="001">ZDB-30-ORH-102564728</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240429114546.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240429s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)102564728</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP102564728</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)53863MIT65331</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)102564728</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23/eng/20240416</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hosanagar, Kartik</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Who profits the most from generative AI?</subfield><subfield code="c">Kartik Hosanagar, Ramayya Kirshnan</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Cambridge, Massachusetts]</subfield><subfield code="b">MIT Sloan Management Review</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (8 pages)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Reprint 65331, Spring 2024 issue. - Includes bibliographical references</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Since the launch of ChatGPT, interest and investments in generative AI technologies have surged. Which players stand to gain the most from the growth and adoption of this technology? Analyzing the factors underlying generative AI's allows us to identify points of differentiation. Given that the technology is resource and data intensive and benefits from network effects, incumbents have the greatest advantage; however, there are some areas where new entrants can create and capture value.</subfield></datafield><datafield tag="630" ind1="2" ind2="0"><subfield code="a">ChatGPT</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield><subfield code="x">Economic aspects</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Technological innovations</subfield><subfield code="x">Economic aspects</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle ; Aspect économique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Innovations ; Aspect économique</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Krishnan, R.</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/53863MIT65331/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-102564728 |
illustrated | Illustrated |
indexdate | 2024-12-18T08:48:48Z |
institution | BVB |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 online resource (8 pages) illustrations |
psigel | ZDB-30-ORH |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | MIT Sloan Management Review |
record_format | marc |
spelling | Hosanagar, Kartik VerfasserIn aut Who profits the most from generative AI? Kartik Hosanagar, Ramayya Kirshnan [First edition]. [Cambridge, Massachusetts] MIT Sloan Management Review 2024 1 online resource (8 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Reprint 65331, Spring 2024 issue. - Includes bibliographical references Since the launch of ChatGPT, interest and investments in generative AI technologies have surged. Which players stand to gain the most from the growth and adoption of this technology? Analyzing the factors underlying generative AI's allows us to identify points of differentiation. Given that the technology is resource and data intensive and benefits from network effects, incumbents have the greatest advantage; however, there are some areas where new entrants can create and capture value. ChatGPT Artificial intelligence Economic aspects Technological innovations Economic aspects Intelligence artificielle ; Aspect économique Innovations ; Aspect économique Krishnan, R. VerfasserIn aut TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/53863MIT65331/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
spellingShingle | Hosanagar, Kartik Krishnan, R. Who profits the most from generative AI? ChatGPT Artificial intelligence Economic aspects Technological innovations Economic aspects Intelligence artificielle ; Aspect économique Innovations ; Aspect économique |
title | Who profits the most from generative AI? |
title_auth | Who profits the most from generative AI? |
title_exact_search | Who profits the most from generative AI? |
title_full | Who profits the most from generative AI? Kartik Hosanagar, Ramayya Kirshnan |
title_fullStr | Who profits the most from generative AI? Kartik Hosanagar, Ramayya Kirshnan |
title_full_unstemmed | Who profits the most from generative AI? Kartik Hosanagar, Ramayya Kirshnan |
title_short | Who profits the most from generative AI? |
title_sort | who profits the most from generative ai |
topic | ChatGPT Artificial intelligence Economic aspects Technological innovations Economic aspects Intelligence artificielle ; Aspect économique Innovations ; Aspect économique |
topic_facet | ChatGPT Artificial intelligence Economic aspects Technological innovations Economic aspects Intelligence artificielle ; Aspect économique Innovations ; Aspect économique |
url | https://learning.oreilly.com/library/view/-/53863MIT65331/?ar |
work_keys_str_mv | AT hosanagarkartik whoprofitsthemostfromgenerativeai AT krishnanr whoprofitsthemostfromgenerativeai |