IN THIS ISSUE

• Did AI Lead To a Drop in Search Volume by 25%?

• 11 Mistakes To Avoid When Using AI in Marketing

• 7 reasons I use CoPilot instead of ChatGPT

• A new Walmart in-store AI is giving employees advice on how to sell products before it’s too late

• Microsoft announces significant commitments to enable a cloud and AI-powered future for Thailand

• Event: What does an AI product manager do?, May 6

• Event: How to Leverage AI for Effective Marketing (Without Losing the Human Touch), May 9

• Event: How to use AI to 10x your productivity, May 10

• Event: Intro to AI for Marketers [Live Online Class], May 15

TOP PICKS

Did AI Lead To a Drop in Search Volume by 25%?

In February, Gartner predicted that the search volume would fall by 25% within the next year because of the growing popularity of AI chatbots and virtual assistants.

But Datos Inc found out that there are no early indicators of this shift happening.

Yes, there was a significant bump in the number of users who searched using an AI agent. OpenAI and Bing experienced a fair increase in the users who used their AI for search. But, Google continues to dominate and the 25% decline is not visible yet.

More people are opting for Google search consistently. There is a curiosity around AI chatbots for search but due to the lack of consistent behavior, the user percentage declines sharply.

This does not mean that you ignore AI for search. It has great potential for marketers but over-investing into it right away may not be a smart move.

Read Here

11 Mistakes To Avoid When Using AI in Marketing

Marketers across various industries are increasingly adopting AI for work. While AI offers numerous benefits, it also introduces risks that marketers must consider. Here are some key risks associated with using generative AI in marketing, along with strategies to mitigate them:

1. Eventual Homogenization: As marketers rely more on AI-generated content, there’s a risk of homogenization or the "sea of-sameness". Brands must prioritize authenticity and differentiation, ensuring that their brand voice remains unique.

2. Lack of Human Oversight: Generative AI operates based on data, and the quality of its output depends on the accuracy and bias of that data. Human oversight is crucial to ensure accuracy and alignment with brand values.

3. IP and Copyright Violations: The legal landscape around AI-generated content remains unclear. Brands should use generative AI cautiously, especially for texts, images, or audio content, to avoid potential IP and copyright issues.

4. Loss of Individual Voice: While AI can compile information, it lacks a marketer’s individual voice. Marketers should treat AI-generated content as a starting point and add their unique perspective, nuance, and voice.

5. Impersonal Interactions: Authenticity is vital in B2B marketing, but AI struggles with personalization. Marketers must find a balance between automation and maintaining a personal touch.

6. Data Privacy Concerns: AI processes vast amounts of data, raising privacy concerns. Marketers should handle customer data ethically, ensuring compliance with privacy regulations (e.g., GDPR).

7. Bias and Fairness Issues: AI models can inherit biases from training data, leading to unfair or discriminatory outcomes. Regular audits and adjustments are necessary to address bias.

8. Overreliance on AI Metrics: Marketers may become overly reliant on AI-generated metrics, ignoring qualitative insights. A holistic approach that combines AI data with human intuition is essential.

9. Algorithmic Instability: AI algorithms can be sensitive to changes in input data. Regular monitoring and adaptation are crucial to maintain stability.

10. Resource Intensiveness: Implementing AI systems requires significant resources (time, money, expertise). Marketers should assess the cost-benefit ratio carefully.

11. Resistance to Change: Employees may resist AI adoption due to fear of job displacement. Clear communication and training can help alleviate concerns.

Read on Forbes

FROM THE AI COMMUNITY

1. 7 reasons I use Copilot instead of ChatGPT via Sabrina Ortiz

2. A new Walmart in-store AI is giving employees advice on how to sell products before it’s too late via Michelle Castillo

3. Microsoft announces significant commitments to enable a cloud and AI-powered future for Thailand

EVENTS

1. What does an AI product manager do?

   📅May 6 | 🔔 6 AM ET | Register

2. How to Leverage AI for Effective Marketing (Without Losing the Human Touch) 📅May 9 | 🔔 12 PM ET | Register

3. How to use AI to 10x your productivity

   📅May 10 | 🔔 10 AM PT | Register

4. Intro to AI for Marketers [Live Class]

   📅May 15 | 🔔 9 AM PT | Register