AI/ML Marketing Roundup - 30 Oct 2024

Posted on Oct 30, 2024

The articles cover a wide range of AI applications in marketing, from personalized content creation to automated recruitment processes. Key themes include the integration of AI into core business functions, the impact on consumer behavior and decision-making, and the ethical implications of AI-generated content and data usage.

While most articles emphasize AI’s potential benefits, there are contrasting views on its impact. Some sources highlight AI’s ability to enhance productivity and decision-making, while others warn of potential job displacement and ethical concerns around deepfakes and data privacy.

A. Understanding Buyers

  • Puttick (2024) reports that AI-powered facial filters can influence romantic attraction in speed dating scenarios, suggesting AI’s potential to shape consumer preferences and behaviors. This study is relevant as it demonstrates how AI can subtly influence human decision-making processes, which has implications for marketing strategies and consumer psychology.
  • Hackney, Wade, and Barton (2024) discusses how an AI-powered weight loss app helped a nurse lose 36 pounds in six months, showcasing AI’s ability to provide personalized health interventions. This case study is relevant to marketers as it illustrates how AI can be used to create highly personalized and effective consumer experiences in health and wellness products.

B. Marketing Strategy and Practice

  • Melendez (2024) describes LinkedIn’s new AI Hiring Assistant, which can help recruiters match with top candidates by analyzing job descriptions and candidate profiles. This tool is relevant to marketers as it demonstrates how AI can streamline and enhance recruitment processes, potentially changing how companies approach talent acquisition and employer branding.
  • McLean (2024) provides tips for using generative AI tools to improve client engagement in real estate, including personalizing interactions and analyzing client feedback. This article is relevant as it offers practical advice for marketers on integrating AI into their customer relationship management strategies.
  • Lunden (2024) reports on LinkedIn’s launch of an AI agent designed to take on various recruitment tasks, from writing job descriptions to sourcing candidates. This development is significant for marketers as it shows how AI is being integrated into professional networking platforms to enhance B2B services and recruitment processes.
  • Snelling (2024) discusses Walmart’s introduction of an AI-powered shopping assistant for their Black Friday sales, highlighting how AI is being used to enhance the retail experience. This article is relevant to marketers as it showcases how major retailers are leveraging AI to improve customer service and personalize the shopping experience during high-traffic periods.

C. Ethical and Regulatory Matters

  • Genovese (2024) reports that nearly 50% of voters said deepfakes had some influence on their election decisions, raising concerns about AI’s impact on political processes. This article is relevant to marketers as it highlights the ethical implications of AI-generated content and its potential to influence public opinion.
  • Giardina (2024) discusses a partnership between Dolphin and Loti AI to protect against unauthorized AI-generated content and deepfakes, addressing growing concerns in the entertainment industry. This development is relevant to marketers as it demonstrates the need for protective measures against misuse of AI in content creation and brand representation.

The articles collectively paint a picture of AI’s growing influence in marketing, from enhancing operational efficiency to reshaping consumer experiences. While AI offers significant opportunities for personalization and automation, it also presents ethical challenges that marketers must navigate carefully. As AI continues to evolve, marketers will need to balance its potential benefits with responsible implementation to ensure positive outcomes for both businesses and society.

  1. How AI/ML can improve marketers’ work: AI tools are revolutionizing various aspects of marketing work. LinkedIn’s AI Hiring Assistant (Melendez 2024; Lunden 2024) demonstrates how AI can streamline recruitment processes, allowing marketers to focus on strategic tasks. In real estate, AI is being used to personalize client interactions and analyze feedback (McLean 2024), showcasing its potential in customer relationship management across industries. These advancements suggest that marketers should explore AI tools to enhance efficiency and effectiveness in their daily operations.

  2. How AI/ML can be incorporated into products and services: The integration of AI into products and services is creating new opportunities for personalized customer experiences. Walmart’s AI-powered shopping assistant for Black Friday (Snelling 2024) illustrates how AI can enhance retail experiences during high-traffic periods. The success of an AI-powered weight loss app (Hackney, Wade, and Barton 2024) demonstrates AI’s potential in creating personalized health interventions. Marketers should consider how AI can be incorporated into their products and services to provide more tailored and effective solutions for consumers.

  3. ESG implications: The use of AI in marketing raises significant ethical and societal concerns. The influence of deepfakes on voter decisions (Genovese 2024) highlights the potential for AI to manipulate public opinion, posing risks to democratic processes. The partnership between Dolphin and Loti AI (Giardina 2024) to protect against unauthorized AI-generated content underscores the need for responsible AI use in content creation. Marketers must be aware of these ethical implications and work towards developing and implementing AI solutions that are transparent, fair, and respectful of privacy and authenticity.

Sources

Genovese, Daniella. 2024. “Nearly 50.” Fox Business, October. https://www.foxbusiness.com/politics/nearly-50-voters-said-deepfakes-had-some-influence-election-decision.

Giardina, Carolyn. 2024. “Dolphin Partners with Deepfake Protection Firm Loti AI.” Variety, October. https://variety.com/2024/digital/news/ai-loti-deepfake-protection-dolphin-partner-1236192995/.

Hackney, Jake, Prudence Wade, and Phoebe Barton. 2024. “Nurse Who Lost 36lbs in Six Months Praises AI App That ’Changed Everything’.” Daily Record, October. https://www.dailyrecord.co.uk/lifestyle/simple-weight-loss-discount-code-33983538.

Lunden, Ingrid. 2024. “LinkedIn Launches Its First AI Agent to Take on the Role of Job Recruiters.” TechCrunch, October. https://techcrunch.com/2024/10/29/linkedin-launches-its-first-ai-agent-to-take-on-the-role-of-job-recruiters/.

McLean, Samantha. 2024. “3 Tips for Mastering Client Engagement Using Generative AI Tools.” Elite Agent, October. https://eliteagent.com/3-tips-for-mastering-client-engagement-using-generative-ai-tools/.

Melendez, Steven. 2024. “LinkedIn’s New AI Assistant Can Help Recruiters Match with Top Candidates.” Fast Company, October. https://www.fastcompany.com/91217698/linkedin-ai-will-help-match-recruiters-to-top-candidates.

Puttick, Helen. 2024. “Real-Time AI Facial Filters Can Influence Romantic Attraction.” The Times, October. https://www.thetimes.com/article/real-time-ai-facial-filters-can-influence-romantic-attraction-knmzp2bq6.

Snelling, Grace. 2024. “Walmart Black Friday 2024: Schedule, List of Deals, and What’s New This Year—Including an AI Shopping Assistant.” Fast Company, October. https://www.fastcompany.com/91217772/walmart-black-friday-2024-deals-sales-list-november-schedule-ai-shopping-assistant-cyber-monday.