Generative Ai Use Cases Across Industries
Based on our analysis of 30+ case studies and 10 benchmarks, where we tested and compared over 40 products, we identified 120 generative AI use cases across the following categories: For other applications of AI for requests where there is a single correct answer (e.g., prediction or classification), check out AI applications. You can also see generative AI applications, use cases, and real-life examples in a list that you can filter based on various criteria such as business function or industry. AI-powered video production tools, including AI video generators, content creation platforms, and editing solutions, enable businesses to produce high-quality videos, personalize content, and optimize performance. These tools help reduce costs, manage production, and allow for dynamic, abstract visuals in just minutes. We assessed leading AI video generation tools to determine their effectiveness in creating high-quality product demonstration videos for eCommerce.
President and Chief Revenue Officer, Google Cloud Our most intelligent model is now available on Vertex AI and Gemini Enterprise Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum both Google and the industry were seeing around generative AI adoption.
In the brief period then of gen AI being widely available, organizations of all sizes had begun experimenting with it and putting it into production across their work and across the world, doing so... DigitalOcean vs. AWS Lightsail: Which Cloud Platform is Right for You? Generative AI has emerged as one of the most transformative technologies in business. A recent report indicated that generative AI could unlock up to $4.4 trillion annually in global economic value by 2030, driven by increased productivity, accelerated innovation, and new product development. The opportunity for business leaders and technologists is clear: generative AI offers scalable solutions to longstanding challenges such as time-consuming content creation, costly R&D processes, and limited personalization at scale.
Unlike traditional AI, which primarily focuses on classification or prediction, generative AI creates new content, ranging from text and images to complex 3D models and drug molecules, based on patterns learned from vast datasets. This allows organizations to innovate faster, engage customers more deeply, and simplify operations with automation. However, many discussions about generative AI fall into vague or overly theoretical territory without grounding the technology in practical, real-world applications. This article bridges that gap by detailing ten concrete use cases already in deployment in 2025. Generative AI is being used across industries to create new content and designs—examples include generating synthetic data for model training, writing marketing copy or code, designing products, and assisting in drug discovery by proposing... Explore 20 generative AI applications across six industries, including health care, advertising and marketing, manufacturing, software development, financial services, and entertainment.
Generative artificial intelligence (AI) is a trend just beginning its journey to the mainstream. Gartner projects that by 2026, over 100 million people will use generative AI to help them complete their work [1]. McKinsey looked at 63 different uses for generative AI and concluded that, if they were all implemented, the technology could add $2.6 trillion to $4.4 trillion worth of value to the global economy [2]. In this article, you’ll learn 20 examples of generative AI applications in various industries and how to start using generative AI for your organization. Generative AI is artificial intelligence designed to create unique text or image results in response to user prompts. The technology uses machine learning to return an output based on the user’s prompt.
AI engineers train the technology using large data sets, which the model consults when determining the best possible answer to a prompt. Another way to look at generative AI is as a form of predictive artificial intelligence. Based on the information provided, generative AI will predict which words and in which order will give the best answer to the user's prompts. You can use generative AI to create new written, visual, or audio content, summarize complex data, generate code, assist with repetitive tasks, or make customer service more personalized. Over the past three years, generative AI has transformed industries by creating new content in text, image, music and video formats. In contrast to traditional AI that operates on rule-based models, thereby limiting its capabilities and reasoning, GenAI is trained on vast amounts of public and proprietary data, enabling it to provide users with humanlike,...
Derivatives of GenAI include chatbots, high-quality content, automated summarization, intelligent recommendation engines, virtual tutors and AI-powered creativity tools. The PwC report "Global Artificial Intelligence Study: Exploiting the AI Revolution" estimated that GenAI could contribute up to $16 trillion to the global economy by 2030 -- more than the current economic output of... The following list captures how 20 different industries are currently using GenAI to achieve these benefits and meet business goals. Manufacturing teams have to meet production goals across throughput, rate, quality, yield and safety. To achieve these goals, operators must ensure uninterrupted operation and prevent unexpected downtime, keeping their machines in perfect condition. However, navigating siloed data -- such as maintenance records, equipment manuals and operating procedure documentation -- is complicated, time-consuming and expensive.
GenAI accelerates time to insight for operators, technicians, process engineers and plant managers. For example, at Koch Industries, facility operators use C3 Generative AI to query the system in natural language for comprehensive reports on internal and external operations. Process engineers assess performance and risk across assets, generating detailed insights on critical issues and full traceability to the source. According to Steve Lombardo, former communications and marketing officer at Koch, generative AI has helped the multi-industry company solve previously unsolvable problems at scale. From inventory management to customer service, sales, store operations, loss prevention and beyond, GenAI has made retail operations exponentially easier and more effective. Generative AI is useful for more things than generating funny images and creating helpful chatbots.
Teams are using generative AI to draft proposals, summarize meetings, create training content, follow up on leads, and automate repetitive tasks — and it can all be embedded in business workflows. Generative AI is a type of artificial intelligence that creates new content — such as text, images, music, audio, or videos — based on patterns learned from existing data. It uses machine learning models, often large ones, that are pre-trained on vast datasets. Instead of just identifying patterns or making predictions, generative AI actively produces new versions or variations of the data it has been trained on. Most people first hear about generative AI through tools like ChatGPT or Midjourney. But the technology powering them goes deeper than generating clever text responses or trippy images.
Generative AI is moving from cutting edge to everyday. In 2026, it will no longer be a lab experiment or tech demo. It is a real-world tool that businesses use to solve specific problems, streamline operations, and spark innovation. From healthcare and finance to retail, education, and manufacturing, generative AI is being applied across industries. Not in theory, but in practice. It is generating value in the form of faster workflows, smarter decisions, and more personalized customer experiences.
What makes this shift important? Companies are not just testing AI anymore. They are embedding it into products, services, and strategies. The results are measurable. Reduced costs. Better productivity.
Stronger market positioning. This article highlights the most impactful real-world use cases of generative AI across major industries. Each section includes clear examples, actual business applications, and why it matters in 2026. )d��dlA�k}VN�"#���?����D>�vb״Q��` �����y�Ë�K��M�e*F;|� �G�ڦ�V8�Tm3�R��Pm�L�����X��� ����[��k�!�+���o�(���̏J�Ib\`j8G�~��8��F7�g�%�X]iJG.Y���h'1Cb?���*���ڥ�!��4�}�lܿ���C�r��ri����X4�f��I�\�@N\�J3���7�q�iFC�J��uَ�?=��dc;���m�8�^��+ې��WH�A�8 �a�`r N������f��D��-�+Ο]jC �u.�$u�� ��:��:��آ �˦���NJo�lFګ|��+_�g���{j�s%����4�X���Y;RY�����ɮ�\��6i��&��;(ZiX" �3*>'������h;lfQ� 2Ӻ���4a�~��+�D ���.%13A�V9���?y؆�ƣT�}#͎�W��}��^�"�fk�8k��B�_!�O�������ǖ��g�d��L�vܑ��v�ރ �M!N�`=��l����K�.�� ��5�@Ǽ��z_8��@�r>����_�V2D5�~~_�����-.��o�{��s�������i5?v�S�n��5��%�Y5���?�-�e7����9��G����Kܟt`��=k^�`iO �`~�q��M���2h���p��Ox�g��V����b�ZI�UFI��7��.�y�hX�����\�s���&�i��-�K��0���7���g��ց26X��l�f7�?˒�p���������Ц��>|^�@���g`�� �-�!�SdA����~�C�֑�V;��lv�ؒXm��>}� ���|��!��P_w�v�5c2AѼ�C��ʿvòv�-Hn��.��c�W����&�u�뒭�9��b�G�����N�-x����c6� �Tg��+w �Kp�,g#b3Ў��s�g;Eh-ăbp����|7�O?��=�Q?)!E�c�^Jϩ��1��ѽ�w��F�������"0Gh���7}��q�WC���O���?#�ox�0Ii�}���6������\����j-��� �c�r�<�|���o����_ׄ�<�B[\�A �X�����5?�Dn+i����ʗBU�X�m#��r��O8�� �5c��d ����*H�lF90ʷ0i��(#d�(�)ýh���5�ګ���rq�U2��5���i2׆��NJl�+@W$,�����ڗ^���Vf�^�k��N�I� �H�A^�aI4��b�rR1�KQji��^/�a��Niic�f�_$`��\V��/��7�P%�{�W��/�L�}���D��(��AW�o]C+�ܟZ�n~�u��Ŭ������q{N��&��D�7i��"��S��.����[�ذ�+0-!��B�FH�56N�T��3+q;b0%������#~�м�PZ뭱�$�8�)�K����� �b|�-�\Տ�S��N$|>�ħ²� ���?E�-�ҜR_�-��� �onD�J~�m��#�x����E2I� ����։#�-svjO��)Xǜ+9-�m-��O��{DCv��L�Gkۻ,��GK[���jV���A$�6���Pm��}�_��ovv��}�.%�eᳯ� ��H>��1��7} ���c��8���`�$��9U�pwe� � 0��� nD��{n��ոÓ���][�' ���g�N�... h�I2^���>|�|�[����ZO�&;�wRy�v�O��m�o,d�<]k�NI���l���ފ�Ƴ+#�ta�F��PA؊濕��k�������[v|��p��}���"��h/���Ò9Z�q�;��7len�6���W���*�c?H���M �Rn:cő�q�Vc����(p� �|�����g��&��s�}h�ّ�9�>���E����Di�� g�ʈK �Ns���c !����L#��;���ӆ�#�����S���3�� [����� =����� ���?�u~��o���ۘ�^쓁�_�ד�31��y�ƛ�(Z�2X?y��o�?��~55»g{l13,㦵����֦�E��m�]�l�����ݤd��x�ՓѤ;g�q��֬�,`��M�9����|S���<̃����'Î ��X#�ң��$�>f���[ȚY��)��f�ӞK����M��]L}��.��Ϧ0:�Q�G�K{3J� ]������n��v XĊ�BR�\<�١�Mon��N�q��B�<}c�����O��δ�s1b�&EҘ���?�����X,!�`#���C���d>[��il��I���"�뿔cu4 �߯��E1����4B�d2���O��19Пi�I��+�AE��Q�#;��l�V���.���!�1��p_�ܿ��xIQȷ�O$'ι�ֵ-��Z֫����t��F� �\�ry��U�aP�����?nO�<���o2_� A����I�3�w��R<$��}E�c��g-kv��ٝ��u4�2V���V�y�o%ʵ���%@,�08<����Q�Zv �r��cX�Tu :����VZ�.w�u5��Dɓsφ�.�C &��~im p��9�'����� *^G8U����o�c�������I��F��@ �Lz ��E �����R�wv>ӟ6>^C���D�,1m����YZ��� ���0�(���F۲�$��ӂ�UO^�~�G9銘 �^�YT-ʩ�A�gf�����cZ�m<����:� m^�Z�a$��-N���5�+5��|�+Ր+:��������Z�+¼)K'm�a2w�n0 :(ߥfJ!���!�0q��巭j��(�\ 4ϥnq�:��U��A�H�#_�9���v��^C�44h���˚2Ǒn'�g�x�jۉ�#�b��T�6w=t}��N =1QVV}�������M;��Wm(9������;�%���w�8���=��ޔX�Y�n:��L��lC�y�Q;uĒ�TV��8-���Q�o�Tb��=�z����),q���#}P@�<���K��6��WL��%/S@E��e`�~i��#��9t�m��/��֔��7]�?��I1=9�>.����i�!}�����տAE��VH�Qէܖ�cR �ӈ&��Xt'9��p����gL����aP��ԲS2$F!K/WO���l��`�S��'��t�_Rw�E�x y�g�k��!�V�)ӹr D7:�ʫ~4&�6��k{N�w$�^���5!��;g�i�{��Iʰ�:�������C;N*[��? uxX�)؍�m�]��˕UՌ�W��|y�m�*)d�:�f������rM{���2�WR e=Cn���>�ի���.�'*>\�ϓ��ח���+��h�G��a�z�?"0GC[*�^;=�0�|(N�� �~��4T+S�kއ�fc�;�RE+�SC�*�pn���%�����A>x��g�Uτ�k~2t� ���5;���0� pK�@~ z9i�1jm�� 8�Õ�� �h��[%r)��A.��Q�:��� �B@��^ �N�` iF����-"K�R��*Α��ʹ��� !xf�퓾i�8�54�3�����T���r�(%��C'���V����( �18EQ�v�*23�y�C�n~�2��\:�W�c���l�:�%�0�T�q]ó:-My� k�v��#%��zJ���>q�@���ꎵX����U�;1�y��'�4쐈PI)9c�Q�7��2kV����6@U6UX���;����f�]��`I����\Q�*����y��T�Q�o:�p7���>����bkű�m�Sө�Y�)���c�W���sf�^��U�r�>�>-���|���D�Z���������/�v� VY�o̟q��@��W�i�n=�����l~�.[5�����y�L����>�!�_!���� PI���g�>��[Y8��w-][���s�29-C@4��{�;���'�@=}����� m`됍���ґs��>��G�[���d��C;�u8�E�P�#>����\���e�g���t��睖 �����.�Ip �u�t����Ή��쭯e�����i���S=�'�!gk �m�ӻ�w�2OVc����B��,�g���t�L�/RU��Vy�ɷ3M��Ji�IZdS�7��^h���D�8#jș"Z���� ����qxD*YA�#g_<��G��RA22E3,`�lA'T/f�Gi�E �W��{6�뉽�}�G�a� q�2���O�G���F��)yT~�|���,�t�\�0~�v�|���b@%�n�'�.��k�h� ��O�e�� �I��ߌe|�+j)�A�;�U��x\�������8��-�B2�aϘ?T�n(HÌ��7�H�� :��w>}��8_/�;C?'F �jy_~?ϝ�cx� �U�����mn��k�����;"�\�E���b�[Vq�{=���8���0$� �e :�jO�b5a� �l����-��/;Y:��?v2 0'�I��b��Z7b�q)̌2��лgi��Zc����ŅD�wEx=|��OE�"@=}����~'�k#�.2���*YZጎK$�'$�,����} 6[�O��ߐ�y-d�q��#�Þ�|ϛ l__�^>-YMl�?�';{�����E...
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Based on our analysis of 30+ case studies and 10 benchmarks, where we tested and compared over 40 products, we identified 120 generative AI use cases across the following categories: For other applications of AI for requests where there is a single correct answer (e.g., prediction or classification), check out AI applications. You can also see generative AI applications, use cases, and real-life e...
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President and Chief Revenue Officer, Google Cloud Our most intelligent model is now available on Vertex AI and Gemini Enterprise Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum both Google and t...
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In the brief period then of gen AI being widely available, organizations of all sizes had begun experimenting with it and putting it into production across their work and across the world, doing so... DigitalOcean vs. AWS Lightsail: Which Cloud Platform is Right for You? Generative AI has emerged as one of the most transformative technologies in business. A recent report indicated that generative ...
Unlike Traditional AI, Which Primarily Focuses On Classification Or Prediction,
Unlike traditional AI, which primarily focuses on classification or prediction, generative AI creates new content, ranging from text and images to complex 3D models and drug molecules, based on patterns learned from vast datasets. This allows organizations to innovate faster, engage customers more deeply, and simplify operations with automation. However, many discussions about generative AI fall i...
Generative Artificial Intelligence (AI) Is A Trend Just Beginning Its
Generative artificial intelligence (AI) is a trend just beginning its journey to the mainstream. Gartner projects that by 2026, over 100 million people will use generative AI to help them complete their work [1]. McKinsey looked at 63 different uses for generative AI and concluded that, if they were all implemented, the technology could add $2.6 trillion to $4.4 trillion worth of value to the glob...