AI is becoming just another Tool

Generative AI's Economic Potential: A report by McKinsey highlights the economic potential of generative AI, suggesting that its impact on productivity could add trillions of dollars in value to the global economy. The report identifies 63 generative AI use cases across 16 business functions that could deliver significant economic value, emphasizing the technology's potential to drive business growth and innovation across various sectors.

Consortium to Address AI's Impact on the Technology Workforce: Cisco, along with Accenture, Eightfold, Google, IBM, Indeed, Intel, Microsoft, and SAP, has launched the AI-Enabled ICT Workforce Consortium. This initiative aims to assess AI's impact on technology jobs and identify skills development pathways for roles most likely to be affected by AI advancements. The formation of this consortium highlights the growing recognition of AI's transformative impact on the workforce and the need for businesses to adapt to these changes.

AI in Healthcare: Yale researchers have shown promising uses for AI in healthcare, including an algorithm for first-stage aortic stenosis testing and another to support physicians in hospitals by predicting COVID-19 outcomes for emergency room patients.

Microsoft's Investment in Japan: Microsoft announced a US$2.9 billion investment over the next two years to increase its hyperscale cloud computing and AI infrastructure in Japan. This investment aims to support Japan's digital transformation and adoption of AI, including the establishment of Microsoft Research Asia’s new lab in Tokyo.

AI in Earthquake Forecasting: Researchers at The University of Texas at Austin developed an AI algorithm that correctly predicted 70% of earthquakes a week before they happened during a seven-month trial in China. This marks a significant milestone in AI-driven earthquake forecasting.

Taskade.ai AI to build task lists for personal and business use cases.

Clickup project management tool that now integrates Ai to help build reasonable project task lists and deadlines.

AI Revolution in Medicine covers several aspects of health care you would not take much time to consider. You might expect this book will discuss the ethics of using AI in medicine, or how it might be used for patient health diagnoses. Instead, AI Revolution in Medicine covers how GPT-4 can translate health data standards for an interoperable health information exchange. In other words, AI Revolution in Medicine covers how AI tools can be used in backend technical aspects of healthcare. It is a good read.

AI is becoming just another tech tool

AI is transforming from a futuristic technology into a practical, everyday tool. The proliferation of AI-powered products and services has made capabilities like voice assistants, recommendation engines, and chatbots ubiquitous. Democratization of user-friendly AI tools and platforms makes it easier for non-experts to leverage AI.

Mainstreaming of AI workflows is weaving the technology into standard business and productivity processes. Commoditization of AI infrastructure, with cloud services, open-source frameworks, and off-the-shelf models, has reduced barriers to building and deploying AI systems.

As people have more frequent, natural interactions with AI-powered systems, the novelty is wearing off. AI is becoming just another tool that people use to get things done, much like the personal computer and internet before it. The increasing integration, accessibility, and normalization of AI is driving its transition from a specialized technology to a practical, everyday tool.

This mirrors how other transformative technologies have become ubiquitous parts of modern life. AI is no longer confined to research labs and specialized applications but is woven into the fabric of our personal and professional lives.

For businesses to get ahead and stay ahead it is no longer good enough to simply claim your product has AI included, or uses AI in its implementation. Businesses now need to find ways to market the benefits of AI to other businesses and consumers.

As with the tools listed above both now have AI built into their systems. Both have specific areas AI will benefit your workflow and productivity as well. I would say that Taskade is further along with the implementation of AI than Clickup is currently too. This is based on the number of uses they both define. Using AI agents in your workflow.