Periodical
AI Is Blurring the Line Between Sales and Marketing.
| Title: | AI Is Blurring the Line Between Sales and Marketing. |
|---|---|
| Authors: | Chung, Doug J.1, Fann, Jean-Christophe2, Plotkin, Candace Lun3, Stanley, Jennifer4, Valdivieso, Maria5 |
| Source: | Harvard Business Review Digital Articles. 9/4/2026, p1-8. 8p. |
| Subject Terms: | *Customer experience, *Organizational change, *System integration, *Customer relations, *Sales personnel |
| Abstract: | The article focuses on how agentic artificial intelligence (AI) is increasingly integrating sales and marketing functions to create a seamless, closed-loop customer journey. It highlights that customers experience these functions as a unified relationship, and organizations that align marketing and sales around shared data, metrics, and AI-driven workflows achieve more consistent, personalized, and efficient interactions. Examples from a Fortune 500 tech company and a global job search platform illustrate how AI-enabled lead prioritization and sales development representatives improve pipeline quality and revenue. The article emphasizes that successful AI transformation requires both technological integration and organizational shifts, including new roles like go-to-market engineers, to manage continuous, coordinated customer engagement across channels. [Extracted from the article] |
| Copyright 2026 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu. (Copyright applies to all Abstracts.) | |
| Database: | Business Source Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: bsx DbLabel: Business Source Index An: 196872797 RelevancyScore: 1510 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 1510 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: AI Is Blurring the Line Between Sales and Marketing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chung%2C+Doug+J%2E%22">Chung, Doug J.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Fann%2C+Jean-Christophe%22">Fann, Jean-Christophe</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Plotkin%2C+Candace+Lun%22">Plotkin, Candace Lun</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Stanley%2C+Jennifer%22">Stanley, Jennifer</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Valdivieso%2C+Maria%22">Valdivieso, Maria</searchLink><relatesTo>5</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Harvard+Business+Review+Digital+Articles%22">Harvard Business Review Digital Articles</searchLink>. 9/4/2026, p1-8. 8p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Customer+experience%22">Customer experience</searchLink><br />*<searchLink fieldCode="DE" term="%22Organizational+change%22">Organizational change</searchLink><br />*<searchLink fieldCode="DE" term="%22System+integration%22">System integration</searchLink><br />*<searchLink fieldCode="DE" term="%22Customer+relations%22">Customer relations</searchLink><br />*<searchLink fieldCode="DE" term="%22Sales+personnel%22">Sales personnel</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on how agentic artificial intelligence (AI) is increasingly integrating sales and marketing functions to create a seamless, closed-loop customer journey. It highlights that customers experience these functions as a unified relationship, and organizations that align marketing and sales around shared data, metrics, and AI-driven workflows achieve more consistent, personalized, and efficient interactions. Examples from a Fortune 500 tech company and a global job search platform illustrate how AI-enabled lead prioritization and sales development representatives improve pipeline quality and revenue. The article emphasizes that successful AI transformation requires both technological integration and organizational shifts, including new roles like go-to-market engineers, to manage continuous, coordinated customer engagement across channels. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright 2026 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=196872797 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1 Subjects: – SubjectFull: Customer experience Type: general – SubjectFull: Organizational change Type: general – SubjectFull: System integration Type: general – SubjectFull: Customer relations Type: general – SubjectFull: Sales personnel Type: general Titles: – TitleFull: AI Is Blurring the Line Between Sales and Marketing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chung, Doug J. – PersonEntity: Name: NameFull: Fann, Jean-Christophe – PersonEntity: Name: NameFull: Plotkin, Candace Lun – PersonEntity: Name: NameFull: Stanley, Jennifer – PersonEntity: Name: NameFull: Valdivieso, Maria IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 09 Text: 9/4/2026 Type: published Y: 2026 Titles: – TitleFull: Harvard Business Review Digital Articles Type: main |
| ResultId | 1 |