It’s time for some Big Ideas, back on a Friday!
Ben Thompson, in Stratechery, dove into Intel, attributing its decline to a failure to adapt in the face of competition from AMD and TSMC, particularly in mobile and AI markets. Despite efforts like IDM 2.0 to separate manufacturing from design, Intel struggles with outdated processes and design inefficiencies. The company’s future hinges on the ability to innovate and compete effectively, potentially requiring significant government support to ensure its survival in the semiconductor industry.
A book highlight — Dr. A.K. Pradeep’s new book, “Neuro AI: How to Win the Minds of Consumers Using Neuroscience-Powered Gen AI,” explores how global brands can leverage neuroscience and generative AI to influence consumer behavior. It details practical applications for appealing to the non-conscious mind, where most purchase decisions occur, and emphasizes the importance of embedding neuroscientific principles into product innovation and marketing strategies. The book is aimed at practitioners in innovation and marketing, providing insights into consumer understanding, product innovation, sensory design, and desire creation.
From Business Insider, Professor Megan Fritts observed students using ChatGPT for an introductory assignment in her ethics and technology class, sparking a debate on AI’s role in education. While some educators defend AI as a tool similar to calculators, Fritts argues that it undermines critical thinking and the goal of humanities education. She expresses concern over students’ declining attention spans and reliance on technology, suggesting that educators face challenges addressing AI usage while maintaining educational integrity. The conversation reflects a broader academic tension regarding integrating AI in learning environments.
Forrester dives into AI copilots gaining traction in organizations, but measurable business returns are lacking. A pragmatic approach is needed to maximize their value, focus on employee experience, overcome adoption challenges, clarify funding responsibilities, and foster collaboration among diverse stakeholders. Key questions include understanding the true benefits, addressing adoption difficulties, determining funding sources, and defining responsibilities for implementation.
For those who missed it live, you’ll get a discussion about this article in the Information. Zendesk has introduced a new outcome-based pricing model for its AI customer support software, charging businesses only when the AI successfully resolves customer issues without human intervention. This approach, which aims to adapt to the increasing automation in the industry, may lead to lower short-term sales but could attract more customers seeking cost-effective solutions. Other companies like Intercom and Forethought also adopt similar models, reflecting a potential shift in the software industry as businesses look for measurable value from AI investments. However, some executives express skepticism about the viability of this pricing strategy due to its unpredictability and potential negative incentives.
Why do we care?
I’m particularly intrigued by Zendesk’s move. Tomorrow on the podcast feed you’ll hear my discussion with TC Doyle about this. It’s already on YouTube. Check out the last live stream.
AI ethics. This discussion extends beyond education—companies leveraging AI in any capacity must think about the ethical implications. Whether in business, marketing, or customer service, understanding the balance between AI efficiency and human input will be key to responsible AI adoption.
I hope I’ve given you a lot to think about.
