Apple Podcasts  ·  Spotify  ·  Buzzsprout

Paper A

Accelerating MSME Digital Marketing Through the Use of Generative AI to Improve Visual Content Creation and Creative Promotional Narratives

Hartana, Faisal Umardani Hasibuan, Muhammad Thalal, Dedi Priyono et al. — 2026 — Jurnal Pengabdian Masyarakat dan Riset Pendidikan

peer reviewed journal article  ·   ·  test this week

Key findings

• After the workshops, small business owners produced marketing content 70% faster than before — meaning a task that used to take an hour might now take about 18 minutes.
• The AI-generated visuals were judged to have higher aesthetic quality, and the businesses saw more audience engagement on social media after adopting these tools.
• Business owners who previously had no design skills learned to write text prompts that generated professional-looking promotional images and persuasive ad copy using tools like Midjourney and ChatGPT.
• Using AI tools cut marketing costs — money previously spent on freelance designers and copywriters could be redirected to things like product improvements or certifications.

Marketing implications

• If you run a small business and are still paying freelancers for every social media post, try Canva Magic Studio and ChatGPT for one week. Based on this program, you could cut the time spent on content creation significantly — even if you have zero design experience.
• Teach your team (or yourself) prompt writing — being specific about what you want AI to generate ('a flat-lay photo of a brown leather wallet on a wooden table with soft morning light') gets much better results than vague requests.
• Redirect the money you save on design and copywriting toward things that directly improve your product quality or credibility, like certifications or better materials.

Paper B

Ethical Frameworks for AI-Enabled Marketing: Guidelines, Adoption, and Organizational Practices

Vinutha N V — 2026 — IIP Series — Emerging Approaches in Marketing, Branding, and Consumer Insights (Edited Book Chapter)

academic book chapter  ·   ·  test this week

Key findings

• As of 2024, 72% of large companies were already using AI in some form (according to McKinsey data cited in the paper), meaning ethical rules for AI marketing are urgently needed now, not in the future.
• Existing global rules — like the EU's AI Act, IEEE engineering principles, and UNESCO standards — can be adapted to specifically address marketing harms like discriminatory ad targeting and manipulative personalization.
• Big companies like Unilever have created dedicated ethics boards to review AI marketing decisions, while P&G runs regular tests to check whether their AI tools treat different customer groups fairly.
• The paper argues that companies should track 'ethical ROI' — measuring not just sales results but also whether AI marketing is treating people fairly — using dashboards that flag bias and fairness problems.

Marketing implications

• If your company uses AI for ad targeting or customer profiling, check whether your AI vendor can explain why it selected specific audiences — if they can't explain it, that's a red flag under emerging regulations like the EU AI Act.
• Borrow P&G's approach: before launching any AI-powered campaign, run a quick bias check — ask whether the AI is systematically excluding or targeting any demographic group in a way you'd be uncomfortable explaining publicly.
• Add a simple fairness metric to your campaign reporting — alongside clicks and conversions, track whether your AI ads are reaching a diverse audience or narrowing to a segment in ways that could expose your brand to regulatory or reputational risk.

Paper C

Digital transformation in agri-food cooperatives: AI and marketing strategies in case studies of first- and second-degree models

Sonia García-Lafuente, María Sánchez-Tamarit, J. Guaita-Martinez, D. Ribeiro-Soriano — 2026 — British Food Journal

peer reviewed journal article  ·   ·  test this week

Key findings

• Both cooperatives showed a range of digital activity — from basic automation (apps to coordinate farmers, automated supply chains) all the way up to using generative AI tools to create content and setting up internal ethics committees to govern AI use.
• The smaller wine cooperative (Viñedos de Aldeanueva) focused on making sure older or less tech-savvy members weren't left behind, treating digital inclusion as part of its cooperative identity.
• The larger multisectoral cooperative (Grupo A.N.) used its bigger size to build AI-powered marketing systems and leaned into its authentic cooperative story to stand out from corporate brands — using 'we're farmer-owned' as a marketing advantage.
• Building an in-house marketing team (rather than outsourcing) and adopting AI content tools helped these cooperatives develop stronger premium branding and communicate across multiple channels more effectively.

Marketing implications

• If you market a brand that is farmer-owned, co-op-based, or community-rooted, lean into that story explicitly — this paper shows that authenticity can directly counter the perception that cooperative brands are less sophisticated than corporate ones.
• Set up a simple internal AI ethics rule or checklist before your team starts using generative AI for content — the cooperatives that handled AI governance proactively avoided internal friction and built trust with members.
• If you're thinking about outsourcing marketing, consider what building even a small in-house team can do: these cooperatives used in-house departments to develop consistent premium branding they couldn't get from external agencies.

Apple Podcasts  ·  Spotify  ·  Buzzsprout