Welcome, innovators.

Reskilling for AI has moved to the forefront for many businesses. 

But what exactly does that mean? What’s the best approach?

Below, we share the ins and outs of how businesses should approach reskilling for AI…

In today’s newsletter:

• Today’s must-read stories 📰

• Reskilling for AI

• Prompt of the day ✍️

Today’s must-read stories 📰 

AI helped one person apply for 2,843 jobs 🧑‍💼

AI-powered job application bots, like Hawk's Auto Jobs Applier, are revolutionizing the job search process by enabling users to quickly and efficiently apply for a large number of roles.

Tech Secretary welcomes foreign investment to boost AI in the UK 💰

US firms CyrusOne, ServiceNow, Cloud HQ, and CoreWeave commit £6.3 billion to UK data infrastructure, reinforcing the government's efforts to drive growth through international partnerships.

Lenovo unveils AI-optimized ThinkSmart Core Gen 2 for meeting spaces 🤖

Lenovo introduces the AI-optimized ThinkSmart Core Gen 2, designed to enhance video conferencing and productivity through powerful AI-driven collaboration technology.

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Video of the Day 📽️ 

Miscellaneous resources

• Google, Introduction to Generative AI: A video walking you through the basics of generative AI.

• Gartner, Generative AI Apps Reviews and Ratings: Reviews and ratings of the most popular generative AI apps. 

• The world of work has completely changed: A Reddit thread about the power of AI and how many people have yet to realize it

AI tools 🔨 

• Squad: AI-assisted product strategy tool.

• AnyoneCanAI: Create valuable products using AI.

• Weavel: Automate prompt engineering 50x times faster than a human.

Together with Galileo

Learn from Nvidia, HP, Databricks, and more

Learn actionable insights, strategies, and techniques for generative AI stack design, governance, evaluation, and observability.

Register now for GenAI Productionize 2.0 – the premier conference for GenAI application development, featuring AI experts from leading brands, startups, and research labs!

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Reskilling for AI

Adapting to the rapid impact of generative AI (GenAI) on jobs requires a focused effort on reskilling workers. 

Companies must invest in both technical and soft skills development while partnering with academic and nonprofit organizations to maximize the reach of these initiatives.

Key takeaways

• Reskilling is essential as GenAI is set to disrupt 90% of jobs in the coming decade.

• Soft skills, such as communication and problem-solving, are just as important as technical AI skills.

• Partnerships with academic institutions, nonprofits, and consortia can enhance the effectiveness of skilling programs.

• Companies like Cognizant are leading the charge with initiatives like Synapse, aiming to train over one million people by 2026.

• A balanced approach between technical and soft skills is critical for preparing talent for the future AI-driven workplace.

Our thoughts

The future of work depends heavily on both technological and human-centric skill sets, with problem-finding becoming a key asset in the AI era. 

Organizations must prioritize comprehensive reskilling to ensure they remain competitive while empowering their workforce to thrive in this evolving environment.

Interested in learning more?

That’s just the tip of the iceberg. If you want to learn more about reskilling for AI, these videos are a must-watch. 

An Optimist’s Take on Reskilling in the Age of AI | Sagar Goel | TED

Reskilling the World for AI feat. Google’s James Manyika | ASK MORE OF AI with Clara Shih

How to Lead and Reskill in the Age of AI

Prompt of the day ✍️ 

Mortgage loan officer (create a loan approval letter)

How it works:

The prompt instructs an AI mortgage loan officer to create and refine a loan approval letter by gathering details from the user, following legal and regulatory standards, integrating insights from reference materials, and consistently evaluating the work based on a specified rubric

Why use it:

This prompt ensures the creation of a highly personalized, compliant, and professional loan approval letter by leveraging user input, expert references, and iterative evaluations for continuous improvement.

Prompt Example:

{"prompt":"Develop a tailored Loan Approval Letter aligned with the user's individual needs, drawing insights from the supplied reference materials. Initiate interaction with the user to obtain essential specifics and resolve any ambiguities. Iteratively refine the Loan Approval Letter through consistent evaluations using the given evaluationRubric and gather user input to ensure the end product aligns with the users expectations.}

You can find the prompt in its entirety here.

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