\u0130\u015eVERENLER\u0130N \u00c7ALI\u015eANLARINA YEN\u0130DEN BECER\u0130 KAZANDIRMA S\u00dcREC\u0130<\/p>\n\n\n\n
Son be\u015f y\u0131lda k\u00fcresel i\u015fg\u00fcc\u00fc piyasas\u0131n\u0131n en \u00e7ok konu\u015fulan kavramlar\u0131ndan biri \u201creskilling\u201d oldu. D\u00fcnya Ekonomik Forumu\u2019nun 20a25 \u0130\u015flerin Gelece\u011fi Raporu\u2019na g\u00f6re, 2030\u2019a kadar mevcut i\u015flerin %44\u2019\u00fc otomasyon veya yapay zek\u00e2 nedeniyle ya tamamen ortadan kalkacak ya da ciddi bi\u00e7imde d\u00f6n\u00fc\u015fecek. Bu, d\u00fcnya genelinde 1 milyardan fazla \u00e7al\u0131\u015fan\u0131n yeni becerilere ihtiya\u00e7 duyaca\u011f\u0131 anlam\u0131na geliyor. T\u00fcrkiye\u2019de ise T\u00dc\u0130K\u2019in 2024 verilerine g\u00f6re kay\u0131tl\u0131 istihdam\u0131n %38\u2019i orta-d\u00fc\u015f\u00fck teknoloji sekt\u00f6rlerinde yer al\u0131yor ve dijital d\u00f6n\u00fc\u015f\u00fcm h\u0131z\u0131 k\u00fcresel ortalaman\u0131n olduk\u00e7a \u00fczerinde seyrediyor. Peki bu h\u0131zl\u0131 de\u011fi\u015fim kar\u015f\u0131s\u0131nda i\u015fverenler ne yapmal\u0131? Cevap net: \u00c7al\u0131\u015fanlar\u0131na yeniden beceri kazand\u0131rma s\u00fcre\u00e7lerine acilen ve kararl\u0131 bir \u015fekilde yat\u0131r\u0131m yapmal\u0131lar.<\/p>\n\n\n\n
1. \u00c7al\u0131\u015fan Kaybetmek mi, D\u00f6n\u00fc\u015ft\u00fcrmek mi?<\/p>\n\n\n\n
Bir yaz\u0131l\u0131mc\u0131n\u0131n 2025\u2019te h\u00e2l\u00e2 sadece COBOL bilen biriyle \u00e7al\u0131\u015fmak istememesi gibi, bir fabrikan\u0131n da 2030\u2019da cobot\u2019larla (i\u015f birli\u011fine dayal\u0131 robotlar) \u00e7al\u0131\u015fmay\u0131 bilmeyen operat\u00f6rle rekabet etmesi m\u00fcmk\u00fcn de\u011fil. McKinsey\u2019nin 2024 tarihli ara\u015ft\u0131rmas\u0131na g\u00f6re, bir \u00e7al\u0131\u015fan\u0131 i\u015fe almak ve yeti\u015ftirmek maliyeti, mevcut bir \u00e7al\u0131\u015fan\u0131 yeniden becerilendirmenin ortalama 4-6 kat\u0131 daha pahal\u0131. T\u00fcrkiye\u2019de ise bu oran daha y\u00fcksek: \u0130\u015fe al\u0131m s\u00fcre\u00e7lerinin uzunlu\u011fu, k\u0131dem tazminat\u0131 y\u00fck\u00fc ve yetkin eleman bulma zorlu\u011fu nedeniyle mevcut personeli elde tutmak, yeni personel bulmaktan %60-70 daha ucuz.<\/p>\n\n\n\n
Ko\u00e7 Holding\u2019in 2022\u2019de ba\u015flatt\u0131\u011f\u0131 \u201cDijital Yetkinlik Program\u0131\u201d bunun en g\u00fczel \u00f6rneklerinden biri. 18 ayda 12.000 mavi ve beyaz yaka \u00e7al\u0131\u015fan\u0131na veri okuryazarl\u0131\u011f\u0131, yapay zek\u00e2 ara\u00e7lar\u0131 kullan\u0131m\u0131 ve agile proje y\u00f6netimi e\u011fitimi verildi. Program\u0131n maliyeti 180 milyon TL olarak a\u00e7\u0131kland\u0131 ama \u015firket, 2024 sonunda bu yat\u0131r\u0131m\u0131n kendisine 1,2 milyar TL\u2019lik verimlilik art\u0131\u015f\u0131 olarak geri d\u00f6nd\u00fc\u011f\u00fcn\u00fc duyurdu. Yani her 1 TL\u2019lik e\u011fitim yat\u0131r\u0131m\u0131 6,6 TL getiri sa\u011flad\u0131.<\/p>\n\n\n\n
2. \u00c7al\u0131\u015fan Sadakati ve Marka \u0130maj\u0131<\/p>\n\n\n\n
Yeniden becerilendirme sadece maliyet meselesi de\u011fil, ayn\u0131 zamanda bir sadakat ve yetenek \u00e7ekme arac\u0131. LinkedIn\u2019in 2024 \u00c7al\u0131\u015fan Tercihleri Raporu\u2019na g\u00f6re T\u00fcrkiye\u2019de \u00e7al\u0131\u015fanlar\u0131n %76\u2019s\u0131 \u201ckendini geli\u015ftirebilece\u011fi\u201d bir \u015firkette daha uzun s\u00fcre kalmaya raz\u0131. Ayn\u0131 raporda, \u00f6\u011frenme-geli\u015fme f\u0131rsatlar\u0131 sunan \u015firketlerin \u00e7al\u0131\u015fan devir oran\u0131 %57 daha d\u00fc\u015f\u00fck \u00e7\u0131k\u0131yor.<\/p>\n\n\n\n
\u015ei\u015fecam\u2019\u0131n 2023\u2019te ba\u015flatt\u0131\u011f\u0131 \u201cGlass Future Academy\u201d projesi bu a\u00e7\u0131dan dikkat \u00e7ekici. Cam \u00fcretiminde kullan\u0131lan yeni otomasyon sistemleri i\u00e7in 4.500 \u00e7al\u0131\u015fana 18 ayl\u0131k yo\u011fun bir reskilling program\u0131 uyguland\u0131. Program bitiminde \u00e7al\u0131\u015fan memnuniyeti endeksi %34 artarken, \u015firketin \u201cen iyi i\u015fveren\u201d s\u0131ralamas\u0131ndaki yeri 42 basamak y\u00fckseldi. Bug\u00fcn \u015ei\u015fecam, gen\u00e7 m\u00fchendis ve teknisyen ba\u015fvurular\u0131nda ilk 5 tercih aras\u0131nda yer al\u0131yor.<\/p>\n\n\n\n
3. Devlet Te\u015fvikleri Kap\u0131da<\/p>\n\n\n\n
T\u00fcrkiye\u2019de reskilling yat\u0131r\u0131mlar\u0131 art\u0131k sadece g\u00f6n\u00fcll\u00fcl\u00fck esas\u0131na dayanm\u0131yor. \u0130\u015eKUR\u2019un 2025\u2019te hayata ge\u00e7irdi\u011fi \u201cDijital D\u00f6n\u00fc\u015f\u00fcm ve Yeniden Beceri Kazand\u0131rma Te\u015fvik Program\u0131\u201d ile i\u015fverenlere \u00e7al\u0131\u015fan ba\u015f\u0131na 75.000 TL\u2019ye varan e\u011fitim hibesi veriliyor. Ayr\u0131ca KOSGEB\u2019in \u201c\u0130leri Teknoloji Yetkinlik Merkezi\u201d deste\u011fi ve Avrupa Birli\u011fi fonlar\u0131 da devrede. 2025 b\u00fct\u00e7esinde bu kaleme ayr\u0131lan kaynak 28 milyar TL\u2019yi buluyor. Yani devlet, \u201c\u00e7al\u0131\u015fan\u0131n\u0131 d\u00f6n\u00fc\u015ft\u00fcrene para verece\u011fim\u201d diyor.<\/p>\n\n\n\n
4. Yapmayanlar\u0131n Bedeli A\u011f\u0131r Olacak<\/p>\n\n\n\n
2024\u2019te iflas eden bir T\u00fcrk tekstil devinin y\u00f6netim kurulu ba\u015fkan\u0131, bas\u0131na \u015fu c\u00fcmleleri kurdu: \u201cBiz dijital d\u00f6n\u00fc\u015f\u00fcm\u00fc 5 y\u0131l erteledik, m\u00fc\u015fterilerimiz ise ertelemedi.\u201d \u015eirketin 1.200 \u00e7al\u0131\u015fan\u0131ndan 900\u2019\u00fc i\u015ften \u00e7\u0131kar\u0131ld\u0131, kalan 300\u2019\u00fc ise art\u0131k End\u00fcstri 4.0 becerileri olmayan bir fabrikada d\u00fc\u015f\u00fck katma de\u011ferli i\u015f yap\u0131yor. Bu hik\u00e2ye ne ilk ne de son olacak.<\/p>\n\n\n\n
Sonu\u00e7: 2026\u2019ya Kadar Karar Verme Zaman\u0131<\/p>\n\n\n\n
2026 y\u0131l\u0131, T\u00fcrkiye\u2019de bir\u00e7ok sekt\u00f6r i\u00e7in \u201cdijital olgunluk\u201d e\u015fi\u011fi olacak. Otomotivde elektrikli ara\u00e7 d\u00f6n\u00fc\u015f\u00fcm\u00fc, perakendede omnichannel zorunlulu\u011fu, finansta a\u00e7\u0131k bankac\u0131l\u0131k ve yapay zek\u00e2 destekli kredi skorlamas\u0131, \u00fcretimde ise cobot ve predictive maintenance uygulamalar\u0131 ka\u00e7\u0131n\u0131lmaz hale gelecek.<\/p>\n\n\n\n
Bu d\u00f6n\u00fc\u015f\u00fcmde iki t\u00fcr \u015firket olacak:<\/p>\n\n\n\n
\u00c7al\u0131\u015fanlar\u0131n\u0131 bug\u00fcnden d\u00f6n\u00fc\u015ft\u00fcrmeye ba\u015flayanlar,<\/p>\n\n\n\n
\u00c7al\u0131\u015fanlar\u0131n\u0131 kaybedip sonra s\u0131f\u0131rdan eleman aramaya \u00e7al\u0131\u015fanlar.<\/p>\n\n\n\n
Birinci grup 2030\u2019a lider olarak girecek. \u0130kinci grup ise muhtemelen 2030\u2019a ula\u015famayacak.<\/p>\n\n\n\n
\u0130\u015fverenlere d\u00fc\u015fen g\u00f6rev a\u00e7\u0131k: E\u011fitim b\u00fct\u00e7esini art\u0131k \u201cmaliyet\u201d de\u011fil \u201cen stratejik yat\u0131r\u0131m\u201d kalemi olarak g\u00f6rmek. \u00c7\u00fcnk\u00fc bug\u00fcn harcanmayan her 1 milyon TL\u2019lik e\u011fitim b\u00fct\u00e7esi, yar\u0131n 5-10 milyon TL\u2019lik yetkinlik a\u00e7\u0131\u011f\u0131 ve m\u00fc\u015fteri kayb\u0131 olarak geri d\u00f6necek.<\/p>\n\n\n\n
T\u00fcrkiye\u2019nin 2023\u2019te 85 milyar dolar olan ihracat\u0131n\u0131 2030\u2019da 300 milyar dolara \u00e7\u0131karma hedefi varsa, bunun yolu mevcut 30 milyon \u00e7al\u0131\u015fan\u0131m\u0131z\u0131 d\u00f6n\u00fc\u015ft\u00fcrmekten ge\u00e7iyor. D\u00f6n\u00fc\u015ft\u00fcrmek istemeyen \u015firketler, bu hedefin d\u0131\u015f\u0131nda kalacak. Bu kadar net.<\/p>\n\n\n\n
ZAFER \u00d6ZC\u0130VAN<\/p>\n\n\n\n
Ekonomist-Yazar<\/p>\n\n\n\n