Let’s get into some Big ideas for your long holiday weekend in the US.
Ben Thompson has an alternate take on the US government’s decision to acquire 10% of Intel – It’s best of bad choices. He argues it may be necessary to secure long-term national security interests in semiconductor manufacturing. Critics, including Scott Lincicome of the Cato Institute, warn that this could lead to political influences over Intel’s operations, potentially compromising the company’s competitiveness and decision-making processes. Thompson notes that Intel has lagged in technological advancements compared to competitors like Nvidia and Taiwan Semiconductor Manufacturing Company. He emphasizes the unique position of semiconductor manufacturing, which requires long-term investment and commitment, arguing that without government involvement, the U.S. risks becoming overly dependent on foreign companies for critical technologies. The stakes are high, as the loss of domestic semiconductor production could have severe repercussions for U.S. national security and technological leadership.
Are new user interfaces to come? Runtime explores how Generative AI technology is revolutionizing how users interact with applications, moving beyond traditional interfaces like windows, icons, menus, and pull-downs. Former Google CEO Eric Schmidt highlighted that users will soon be able to create custom interfaces simply by providing clear instructions, indicating a shift in design thinking for application developers. Currently, many users still rely on point-and-click methods, but as tools like ChatGPT emerge, the potential for personalized user experiences grows. Companies need to adapt, as evidenced by the surge in interest in applications that combine familiar interfaces with generative AI capabilities. This necessity for change is echoed by industry leaders, emphasizing the importance of tailored experiences in both consumer and enterprise software applications.
Information Week offers “From Promise to Practice: How IT Leaders Can Turn AI Hype into Tangible Value,”. The article emphasizes that while artificial intelligence holds significant potential for enhancing productivity, many organizations struggle to harness this promise effectively. A survey by GoTo found that 62 percent of employees believe AI is overhyped, and 86 percent feel they are not utilizing it to its full capacity. The article highlights that the core issue lies not in access to AI tools, which are increasingly available, but in execution. Less than half of IT leaders report having a formal AI policy, and 87 percent of employees say they have not received adequate training to use AI tools. As a result, Gartner predicts that by the end of 2025, at least 30 percent of AI projects will be abandoned due to unclear objectives and high implementation costs. IT leaders are encouraged to establish clear policies, prioritize practical training, and measure new performance indicators to ensure that AI can deliver its promised benefits effectively.
Why do we care?
Intel: Is that national security—or political risk on your price list? Either way, don’t expect magic fabs tomorrow.
Interfaces: How might support calls shift from “where’s the button” to “why did the agent do that?”
AI value: How much are you measuring that on your projects?