{"id":121751,"date":"2026-02-19T14:52:11","date_gmt":"2026-02-19T14:52:11","guid":{"rendered":"https:\/\/ekamu.net\/?p=121751"},"modified":"2026-02-19T14:52:11","modified_gmt":"2026-02-19T14:52:11","slug":"yapay-zekada-yeni-paradoks-ne-verimlilikte-ne-de-iklimde-kazanc-var","status":"publish","type":"post","link":"https:\/\/ekamu.net\/index.php\/2026\/02\/19\/yapay-zekada-yeni-paradoks-ne-verimlilikte-ne-de-iklimde-kazanc-var\/","title":{"rendered":"Yapay zekada yeni paradoks: Ne verimlilikte ne de iklimde kazan\u00e7 var"},"content":{"rendered":"<p><figure> <span> <img decoding=\"async\" src=\"https:\/\/ekamu.net\/wp-content\/uploads\/2026\/02\/yapay-zekada-yeni-paradoks-ne-verimlilikte-ne-de-iklimde-kazanc-var-0-LyahmBWP.jpg\"\/> <\/span> <strong>Yapay zeka<\/strong> y\u0131llard\u0131r i\u015f d\u00fcnyas\u0131nda devrim, ekonomide s\u0131\u00e7rama ve hatta iklim krizinde \u00e7\u00f6z\u00fcm olarak sunuluyor. Ancak son d\u00f6nemde yay\u0131mlanan iki ayr\u0131 veri seti ve ara\u015ft\u0131rma, beklentiler ile somut sonu\u00e7lar aras\u0131ndaki fark\u0131 g\u00f6zler \u00f6n\u00fcne seriyor. Hem \u015firketlerin <strong>verimlilik<\/strong> rakamlar\u0131nda hem de <strong>iklim etkisi<\/strong> iddialar\u0131nda g\u00fc\u00e7l\u00fc kan\u0131t eksikli\u011fi ortaya \u00e7\u0131km\u0131\u015f durumda. <\/figure>\n<p>1987\u2019de Nobel \u00f6d\u00fcll\u00fc ekonomist <strong>Robert Solow<\/strong>, bilgisayar \u00e7a\u011f\u0131n\u0131n verimlilik istatistiklerinde g\u00f6r\u00fcnmedi\u011fini s\u00f6yleyerek tarihe ge\u00e7en bir paradoksa i\u015faret etmi\u015fti. 1948-1973 aras\u0131nda y\u0131ll\u0131k ortalama %2,9 olan verimlilik art\u0131\u015f\u0131, 1973 sonras\u0131nda %1,1\u2019e gerilemi\u015fti. Teknoloji h\u0131zla yay\u0131lm\u0131\u015f ancak ekonomik \u00e7\u0131kt\u0131lara ayn\u0131 h\u0131zda yans\u0131mam\u0131\u015ft\u0131. Toparlanma ancak 1995-2005 d\u00f6nemine yans\u0131m\u0131\u015ft\u0131.<\/p>\n<p>Bug\u00fcn benzer bir tart\u0131\u015fma yapay zeka i\u00e7in yap\u0131l\u0131yor. Baz\u0131 ekonomistler yapay zeka i\u00e7in de benzer bir \u201c<strong>J-e\u011frisi<\/strong>\u201d ihtimalinden s\u00f6z ediyor. Buna g\u00f6re ba\u015flang\u0131\u00e7ta performans d\u00fc\u015f\u00fc\u015f\u00fc ya\u015fanabilir ancak do\u011fru entegrasyon sa\u011fland\u0131\u011f\u0131nda \u00fcstel bir s\u0131\u00e7rama g\u00f6r\u00fclebilir. Ancak bu s\u0131\u00e7raman\u0131n ger\u00e7ekle\u015fmesi, AI\u2019\u0131n ekonomik de\u011fer \u00fcretme kapasitesine ve \u015firketlerin teknolojiyi i\u015f s\u00fcre\u00e7lerine ne \u00f6l\u00e7\u00fcde entegre edebilece\u011fine ba\u011fl\u0131 olacak.<\/p>\n<p><b>CEO\u2019lara g\u00f6re \u00fcretkenlik artmad\u0131<\/b><\/p>\n<p>ABD, Birle\u015fik Krall\u0131k, Almanya ve Avustralya\u2019da 6 bin \u00fcst d\u00fczey y\u00f6neticiyi kapsayan ve National Bureau of Economic Research taraf\u0131ndan yay\u0131mlanan yeni ara\u015ft\u0131rmaya g\u00f6re, \u015firketlerin yakla\u015f\u0131k %90\u2019\u0131 son \u00fc\u00e7 y\u0131lda yapay zekan\u0131n <strong>ne istihdamda ne de verimlilikte kayda de\u011fer bir de\u011fi\u015fim yaratmad\u0131\u011f\u0131n\u0131 <\/strong>d\u00fc\u015f\u00fcn\u00fcyor.<\/p>\n<figure> <span> <img decoding=\"async\" src=\"https:\/\/ekamu.net\/wp-content\/uploads\/2026\/02\/yapay-zekada-yeni-paradoks-ne-verimlilikte-ne-de-iklimde-kazanc-var-1-MIOuWV3s.jpg\"\/> <\/span> Kat\u0131l\u0131mc\u0131lar\u0131n \u00fc\u00e7te ikisi AI kulland\u0131\u011f\u0131n\u0131 belirtse de haftal\u0131k ortalama kullan\u0131m s\u00fcresi yaln\u0131zca 1,5 saat seviyesinde. Y\u00f6neticilerin %25\u2019i ise i\u015f yerinde hi\u00e7 AI kullanmad\u0131\u011f\u0131n\u0131 ifade ediyor. <\/figure>\n<p>Buna ra\u011fmen beklentiler y\u00fcksek kalmaya devam ediyor. \u00d6n\u00fcm\u00fczdeki \u00fc\u00e7 y\u0131l i\u00e7in verimlilikte %1,4, \u00fcretimde %0,8 art\u0131\u015f \u00f6ng\u00f6r\u00fcl\u00fcyor. \u0130stihdam taraf\u0131nda \u015firketler %0,7\u2019lik d\u00fc\u015f\u00fc\u015f beklerken \u00e7al\u0131\u015fan anketleri %0,5\u2019lik art\u0131\u015f beklentisine i\u015faret ediyor.<\/p>\n<p>\u00d6te yandan S&#038;P 500 \u015firketlerinin 374\u2019\u00fc 2024-2025 d\u00f6neminde kazan\u00e7 g\u00f6r\u00fc\u015fmelerinde yapay zekadan s\u00f6z etti. \u00c7o\u011fu \u015firket AI entegrasyonunu olumlu anlat\u0131yor. Ancak bu s\u00f6ylem, makro verilerde belirgin bir s\u0131\u00e7ramaya d\u00f6n\u00fc\u015fm\u00fc\u015f de\u011fil.<\/p>\n<p>2022 sonunda ChatGPT\u2019nin devreye girmesinden bu yana Federal Reserve Bank of St. Louis raporunda %1,9\u2019luk ek k\u00fcm\u00fclatif verimlilik art\u0131\u015f\u0131 hesapland\u0131. Buna kar\u015f\u0131l\u0131k 2024 tarihli MIT ara\u015ft\u0131rmas\u0131, \u00f6n\u00fcm\u00fczdeki on y\u0131lda toplam katk\u0131n\u0131n yaln\u0131zca %0,5 olabilece\u011fini \u00f6ng\u00f6rd\u00fc. Nobel \u00f6d\u00fcll\u00fc ekonomist <strong>Daron Acemo\u011flu<\/strong> ise bu <strong>art\u0131\u015f\u0131n s\u0131f\u0131rdan iyi oldu\u011funu<\/strong> ancak sekt\u00f6r\u00fcn iddial\u0131 vaatleriyle k\u0131yasland\u0131\u011f\u0131nda m\u00fctevaz\u0131 kald\u0131\u011f\u0131n\u0131 ifade etti.<\/p>\n<p>\u00c7al\u0131\u015fan taraf\u0131nda ise <strong>g\u00fcven erozyonu<\/strong> dikkat \u00e7ekiyor. 19 \u00fclkede yakla\u015f\u0131k 14 bin ki\u015fiyle yap\u0131lan ara\u015ft\u0131rmada 2025\u2019te d\u00fczenli AI kullan\u0131m\u0131 %13 artarken, teknolojinin faydas\u0131na <strong>duyulan g\u00fcven %18 geriledi<\/strong>.<\/p>\n<p><b>D\u00fcnyay\u0131 da hen\u00fcz kurtarm\u0131yorlar<\/b><\/p>\n<figure> <span> <img decoding=\"async\" src=\"https:\/\/ekamu.net\/wp-content\/uploads\/2026\/02\/yapay-zekada-yeni-paradoks-ne-verimlilikte-ne-de-iklimde-kazanc-var-2-cvWBcKRH.jpg\"\/> <\/span> Verimlilik tart\u0131\u015fmalar\u0131n\u0131n yan\u0131nda, yapay zekan\u0131n iklim krizine \u00e7\u00f6z\u00fcm olaca\u011f\u0131 y\u00f6n\u00fcndeki iddialar da mercek alt\u0131nda. <\/figure>\n<p>Enerji ara\u015ft\u0131rmac\u0131s\u0131 Ketan Joshi\u2019nin yay\u0131mlad\u0131\u011f\u0131 yeni rapor, teknoloji \u015firketleri ve enerji kurulu\u015flar\u0131 taraf\u0131ndan dile getirilen 154 farkl\u0131 \u201c<strong>AI iklime net fayda sa\u011flayacak<\/strong>\u201d iddias\u0131n\u0131 inceledi. Sonu\u00e7lar \u00e7arp\u0131c\u0131. Bu iddialar\u0131n yaln\u0131zca d\u00f6rtte biri akademik ara\u015ft\u0131rmalara dayan\u0131yor. \u00dc\u00e7te birinden fazlas\u0131 ise <strong>kamuya a\u00e7\u0131k hi\u00e7bir kan\u0131t sunmuyor<\/strong>.<\/p>\n<p>Tart\u0131\u015fman\u0131n merkezinde <strong>Google<\/strong>\u2019\u0131n 2023\u2019te dile getirdi\u011fi bir iddia yer al\u0131yor. \u015eirket, yapay zekan\u0131n 2030\u2019a kadar k\u00fcresel <strong>sera gaz\u0131 emisyonlar\u0131n\u0131 %5 ila %10 azaltabilece\u011fini<\/strong> savundu. Bu oran, Avrupa Birli\u011fi\u2019nin y\u0131ll\u0131k toplam emisyonuna e\u015fde\u011fer bir kesintiye kar\u015f\u0131l\u0131k geliyor.<\/p>\n<p>Ancak Joshi\u2019nin inceledi\u011fi kaynak zinciri, bu tahminin Google ile dan\u0131\u015fmanl\u0131k \u015firketi BCG taraf\u0131ndan haz\u0131rlanan bir \u00e7al\u0131\u015fmaya, onun da BCG\u2019nin 2021 tarihli analizine dayand\u0131\u011f\u0131n\u0131 g\u00f6steriyor. S\u00f6z konusu analiz ise hesaplamay\u0131 b\u00fcy\u00fck \u00f6l\u00e7\u00fcde \u201c<strong>m\u00fc\u015fteri deneyimlerine<\/strong>\u201d dayand\u0131r\u0131yor.<\/p>\n<p>Daha da ilgin\u00e7 olan\u0131 ise Google\u2019\u0131n 2023 s\u00fcrd\u00fcr\u00fclebilirlik raporunda AI altyap\u0131 yat\u0131r\u0131mlar\u0131n\u0131n <strong>\u015firket emisyonlar\u0131n\u0131 ciddi bi\u00e7imde art\u0131rd\u0131\u011f\u0131n\u0131 kabul etmi\u015f<\/strong> olmas\u0131.<\/p>\n<p>Mevcut durumda artan veri merkezi yat\u0131r\u0131mlar\u0131 enerji sistemi \u00fczerinde ciddi bask\u0131 yarat\u0131yor. Yeni gaz santralleri planlan\u0131yor, baz\u0131 k\u00f6m\u00fcr santralleri kapanmak yerine faaliyetini s\u00fcrd\u00fcr\u00fcyor. Y\u00fczlerce gigawatt\u2019l\u0131k yeni kapasitenin \u00f6nemli bir k\u0131sm\u0131 do\u011frudan veri merkezlerine tahsis edilmi\u015f durumda.<\/p>\n<p>AI sekt\u00f6r\u00fcndeki isimlere g\u00f6re yapay zeka iklim sorununu \u00e7\u00f6zecek. Ancak uzmanlara g\u00f6re \u00f6nemli bir kavramsal kar\u0131\u015f\u0131kl\u0131k s\u00f6z konusu. Daha az enerji t\u00fcketen geleneksel makine \u00f6\u011frenmesi uygulamalar\u0131 y\u0131llard\u0131r \u015febeke optimizasyonu, afet tahmini ve biyolojik ke\u015fiflerde kullan\u0131l\u0131yor. Buna kar\u015f\u0131l\u0131k g\u00fcn\u00fcm\u00fczde altyap\u0131 yat\u0131r\u0131mlar\u0131n\u0131 tetikleyen esas unsur, b\u00fcy\u00fck \u00f6l\u00e7ekli \u00fcretken modeller.<\/p>\n\n<p><span style=\"display: block; width: 343.125px; color: rgb(55, 58, 60); font-size: 14px; background-color: rgb(255, 249, 236);\"><\/span><\/p>\n<p>Kaynak :\u00a0<span style=\"background-color: rgb(255, 249, 236); color: rgb(55, 58, 60); font-size: 14px;\">https:\/\/www.donanimhaber.com\/yapay-zekada-yeni-paradoks-ne-verimlilikte-ne-iklimde-kazanc-var&#8211;202299<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Yapay zeka y\u0131llard\u0131r i\u015f d\u00fcnyas\u0131nda devrim, ekonomide s\u0131\u00e7rama ve hatta iklim krizinde \u00e7\u00f6z\u00fcm olarak sunuluyor. Ancak son d\u00f6nemde yay\u0131mlanan iki ayr\u0131 veri seti ve ara\u015ft\u0131rma, beklentiler ile somut sonu\u00e7lar aras\u0131ndaki fark\u0131 g\u00f6zler \u00f6n\u00fcne seriyor. Hem &#8230;<\/p>\n","protected":false},"author":1,"featured_media":121752,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[901,870,1447,639,421],"class_list":["post-121751","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-ai","tag-iddia","tag-sirketler","tag-veri","tag-yapay-zeka"],"_links":{"self":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/121751","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/comments?post=121751"}],"version-history":[{"count":1,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/121751\/revisions"}],"predecessor-version":[{"id":121756,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/121751\/revisions\/121756"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media\/121752"}],"wp:attachment":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media?parent=121751"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/categories?post=121751"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/tags?post=121751"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}