Framework for entry-level jobs, sovereign AI, cognitive improvement from AI, and more

📖In this issue

• Framework: CRAFT: Rethinking Entry-Level Jobs

• Humans + AI update: Redesign, re-engineering, reinvention, what drives AI diffusion across countries, and the latest on accelerating enterprise AI adoption.

• From Humans + AI Explorers Community: When AI is a mirror, research on AI for cognitive improvement, insights into AI & design thinking, and more

• Humans + AI Podcast: Sue Keay on prioritizing experimentation, new governance styles, sovereign AI, and the treasure of national data sets

💡Framework: CRAFT: Rethinking Entry-Level Jobs

The future of entry-level jobs as AI capabilities progress has been intensely discussed over the last few months. A couple of highlights were Anthropic CEO Dario Amodei stating that “AI could wipe out half of all entry-level white-collar jobs… in the next one to five years” and the results of a landmark Stanford study were “consistent with the hypothesis that generative AI has begun to affect entry-level employment“.

The CRAFT framework proposes an approach to build a positive future of work and organizations. You can read the short report here.

🧠🤖Humans + AI

Redesign, Re-engineering, and Reinvention

HR leader Josh Bersin describes multiple levels in applying AI to organizations, from simple improvement of individual productivity, through to creating an entirely different organizational form. I suggest some alternative framing.

Gen AI Is Going Mainstream: Here’s What’s Coming Next
Discussion and additional perspectives 

Digital infrastucture and literacy drive AI adoption

A Microsoft study shows that differences in AI usage across countries is driven by investment in digital infrastructure, digital literacy, and availability of AI models in the native language.

AI Diffusion Report: Where AI is most used, developed and built
Summary and key insights

We have reached “accountable acceleration” in Enterprise AI adoption

The new Wharton annual report on Enterprise AI adoption provides deep and extensive data. It describes the current wave as "Accountable Acceleration", with the potential for "performance at scale" next year, painting a positive picture of the pace and value of AI implementation.

Accountable Acceleration: Gen AI Fast-Tracks Into the Enterprise
Summary and key insights

🌐From Humans + AI Explorers Community

Lots going on in the Humans + AI Explorers Community.

Rachel Tenin’s post When AI starts reflecting the mind on how AI tends to mirror users, and the implications, sparked a vigorous and deep discussion from across the community.

Beth Kanter shared the insights gained from interviewing community members for her design thinking & AI IDEO course including extensive resources generated, and members digging deeper into the findings.

Extensive relevant research references were shared in a discussion on research on how AI supports cognitive improvement, especially at work.

The Whole Systems AI Exploration Space continues with deep exploration of the systemic implications of AI in human systems, from the individual to the planetary

And far more, with a host of upcoming events!

🎙️This week’s podcast episode

Why you should listen

Sue Keay was deservedly recently featured in the global H2O Top 100 in AI list for her extensive work on AI for good and sovereign AI. She is not just a deep expert, but also a passionate advocate for positive impact of AI.