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Another Crazy Day in AI: The Changing Nature of Teamwork

Another Crazy Day in AI: An Almost Daily Newsletter

Hello, AI Enthusiasts.


It’s that time of the week—when AI news hits harder than your caffeine crash. ☕


AI isn’t just for tech experts anymore. A Harvard Business School professor dives into digital reskilling and how AI is helping employees work smarter, solve problems faster, and even enjoy their jobs more.


Science is in the AI fast lane, but so is scientific fraud. Researchers warn that AI-generated papers and fake data could damage trust in academia. Can integrity keep up with innovation?


In healthcare, AI has the power to save lives—or cause chaos. Flawed AI models have led to misdiagnoses and wasted resources. The takeaway? Tech without strategy is just a (very expensive) guessing game.



Here's another crazy day in AI:

  • A new approach to reskilling

  • How AI is advancing science—and fueling research misconduct

  • The rush to adopt AI in healthcare could backfire without a plan

  • Some AI tools to try out


 

TODAY'S FEATURED ITEM: A Different Kind of Workplace Shift


A robotic scientist in a classic white coat with 'AI Scientist' on its back stands beside a human scientist with 'Human Scientist' on their coat, looking towards the AI Scientist.

Image Credit: Wowza (created with Ideogram)


Could AI actually make jobs more fulfilling instead of replacing them?


Harvard Business School professor Raffaella Sadun has been studying how AI can reshape the workforce—not by eliminating jobs, but by enhancing human potential. In a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group, hosted by Sam Ransbotham and Shervin Khodabandeh, Sadun shares insights from her research on digital reskilling and human-machine collaboration. She explores how AI can help workers, from store managers to blue-collar employees, become more effective, satisfied, and innovative in their roles.


As co-chair of HBS’s Project on Managing the Future of Work and co-principal investigator of the Digital Reskilling Lab, Sadun brings a wealth of knowledge about organizational adaptation to technological change. Her research with companies across the globe provides valuable insights into how businesses can successfully integrate AI while addressing the human side of this transition.



Insights from the conversation:

  • AI is helping mid-level professionals make better decisions and improve efficiency.

  • Companies that experiment with AI tend to adapt more successfully to change.

  • AI-driven tools can strengthen teamwork by bridging knowledge gaps between different departments.

  • Continuous reskilling is becoming essential as technology evolves at a rapid pace.

  • In some cases, AI-assisted individuals produce work comparable to high-functioning teams—sometimes faster and with better results.


AI is already being used to optimize workflows, but its real potential may lie in helping employees develop new skills and refine their expertise. Some companies are testing AI’s ability to act as a digital collaborator—providing insights, filling in knowledge gaps, and supporting decision-making. One study even found that individuals using AI performed as well as, or better than, traditional teams in generating innovative ideas.


At the same time, the challenge is ensuring that AI benefits a wide range of workers, not just those in highly specialized roles. The speed of technological change makes it crucial for organizations to invest in ongoing reskilling and thoughtful AI implementation. How companies handle this will not only impact productivity but also shape job satisfaction and career growth in the years ahead.




Read the full story here.

Listen on Apple Podcast here.

 

OTHER INTERESTING AI HIGHLIGHTS:


How AI Is Advancing Science—And Fueling Research Misconduct

/CSIRO Directors Jon Whittle (Data61) & Stefan Harrer (AI for Science) on The Conversation


AI is revolutionizing scientific research, helping solve decades-old problems like protein structure prediction. But as AI’s role in science grows, so do concerns about research misconduct. The ease of fabricating data, generating fake references, and using AI for peer reviews is raising ethical alarms. With AI-generated papers slipping past peer review, the scientific community must act fast to ensure AI is used ethically and responsibly. The challenge ahead: maximizing AI’s potential while safeguarding scientific integrity.



Read more here.

 

The Rush to Adopt AI in Healthcare Could Backfire Without a Plan

/Luqman Lawal, Head, Global Expansion Mayo Clinic Platform, on World Economic Forum


AI is reshaping healthcare, improving diagnostics, streamlining operations, and enhancing patient care. However, rushing AI adoption without a clear strategy can backfire—leading to misaligned workflows, wasted resources, and even patient harm. Lessons from past failures, like flawed predictive models in hospitals, highlight why careful planning is crucial. By focusing on data quality, strategic roadmaps, and pilot testing, healthcare organizations can unlock AI’s full potential while avoiding costly missteps.



Read more here.


 

SOME AI TOOLS TO TRY OUT:


  • Superlines – Track and optimize your brand’s AI search rankings.

  • Mermaid – Instantly create collaborative diagrams from text and data.

  • Tweek – A paper-like weekly planner with smart scheduling features.

 

That’s a wrap on today’s Almost Daily craziness.


Catch us almost every day—almost! 😉

 

EXCITING NEWS:

The Another Crazy Day in AI newsletter is on LinkedIn!!!



Wowza, Inc.

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.





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