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https://the-decoder.com/deepfake-speech-is-getting-too-good-fooling-a-quarter-of-listeners-in-study/

Innovations in electricity and personal computers unleashed investment booms of as much as 2% of U.S. GDP as the technologies were adopted into the broader economy. Now, investment in artificial intelligence (https://www.goldmansachs.com/intelligence/artificial-intelligence/index.html)is ramping up quickly and could eventually have an even bigger impact on GDP, according to Goldman Sachs Economics Research.  https://www.goldmansachs.com/intelligence/pages/ai-investment-forecast-to-approach-200-billion-globally-by-2025.html?utm_source=www.joinsuperhuman.ai&utm_medium=newsletter&utm_campaign=why-be-real-when-it-s-fun-to-be-fake

https://www.goldmansachs.com/intelligence/pages/generative-ai-could-raise-global-gdp-by-7-percent.html This was an interesting article published by Goldman Sachs Research on the topic of how AI is influencing the employment marketplace. "60% of today’s workers are employed in occupations that didn’t exist in 1940. This implies that more than 85% of employment growth over the last 80 years is explained by the technology-driven creation of new positions, our economists write." This is powerful stuff - technology can be the driving-force to open workforce development and socioeconomic mobility. It is important for talent and learning and development leaders to invest in helping their employees access and utilize technology.

As many companies are designing Mid-manager Development Programs, I invited about ten companies to participate in a roundtable discussion to community-source best practices. In the roundtable, we are particularly interested in gathering insights and best practices that have successfully developed mid-managers with the skills, knowledge, and mindset needed to thrive in today's rapidly changing business landscape. Fostering their growth and equipping the middle with the right tools is essential. Today most Mid-manager Development Programs do not include AI, data fluency, and other in-demand skills identified by Resources here in THE THINKING EFFECT. I thought I would share these AI Implementation Tips from Josh Cavalier. ----------------------------------------------------------------------------------------------------------------------------------- When implementing AI, middle managers should consider the following: REVIEW GOVERNANCE AND SECURITY POLICIES AROUND AI FOR YOUR ORGANIZATION: BUILD AI LITERACY: IDENTIFY YOUR DEPARTMENT AI STRATEGY: IDENTIFY YOUR WORKFLOWS TACTICS: BUILD AN EVERGREEN PROMPT LIBRARY: Source: Josh Cavalier

This morning I was on a call with about 60 CHROs and L&D leaders talking about how they plan to apply AI in their enterprises. The discussion was lively, interactive and some common themes emerged for me. Most orgs are still trying to figure out how generative AI can be applied and where the biggest impacts can be felt. Very few, if any, have actually taken serious efforts to implement anything. Some have identified targeted areas within HR/L&D where they believe generative AI can be transformative. None actually had specific change management activities underway as a result, however. There was a good amount of discussion on the dual-lens view we need to take. One lens is about how the work we do everyday can/will change. The second was thinking about how to lead the organization through the changes it will have in the rest of the organization and how well prepared we are to support that. But what jumped out at me was that the only discussion of activities associated with generative AI were those associated with the purchase of a new product or associated with the adoption of a new feature that exists in a supplier product they already use. I guess that makes sense, but it struck me that suppliers will end up being the real drivers of what happens within enterprises when it comes to AI adoption and implementation. For example, driving HR self-service thru generative AI will likely reach mainstream once a supplier develops a product that enables that to happen. Maybe it's not a new idea? I suppose we could make the case that LMS suppliers drove the wide-scale adoption of elearning, learning journeys, and now skills libraries. . . . What do you think?

Great article by Marc Andreessen

Insightful perspective by Josh Bersion on the future impacts of AI.

A helpful video that explains the underlying learning mechanisms of AI.

From breakthroughs in products to science to tools to address misinformation, how Google is applying AI to benefit people and society