💰 AI Rockstars Wanted: How 6-Figure Salaries Are Transforming the 💼 Future of Work.

Plus: 🛍️ Amazon brings AI to help with review summaries, ChatGPT extensions you need to use and free online AI books.

August 15, 2023

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Hello Team 🙏,

Can AI push salaries to a Million Dollars? Well, that seems to be the case and Netflix is leading the way, check it out below. Also, how is the Job landscape changing? we bring you a summary of the Future of work. Plus: Amazon is making shopping easier with review summaries and we share the best ChatGPT extensions you should start using today.

  • 💰 AI Salaries near $1 Million.

  • 💼 The Future of Work Report by Linkedin

  • 🛍️ Amazon: No need to read all reviews, AI will summarize them now.

  • 🧰 AI Tools of the Day (ChatGPT Extensions - Kickresume)

  • 📚 The Learning Corner (3 of the best AI Books - Free online)

  • 💪🏽 Important AI News and Trends

💰 AI Salaries near $1 Million.

A talent shortage has fueled an AI hiring frenzy across industries, with companies bidding up salaries to nearly $1 million for some roles. Demand far exceeds the limited supply, especially for mid and senior positions.

To attract selective candidates with multiple offers, employers pitch intriguing data and projects while also focusing on retention and internal training. But with AI expanding into diverse fields, companies cannot simply hire their way out of the extreme talent crunch.

This is the $900k Job - Apply now.

💼 The Future of Work Report by Linkedin

TLDR, here is a summary.

  • AI adoption is accelerating, with over 50% of companies now using some form of AI. Adoption is fastest in tech, media, finance, and healthcare.

  • AI is automating both physical and knowledge work. It can perform tasks involving data processing, generating text/content, optimization, and prediction.

  • While some jobs will be displaced, AI is creating new roles and changing existing jobs. Demand is rising for AI specialists, creatives, technologists, and social/emotional skill jobs.

  • Soft skills like leadership, communication, and empathy will remain hard for AI to automate and become more important to hire and develop.

  • Ethical considerations around bias, transparency, and responsible AI will continue growing as challenges. Regulation may expand.

  • Collaboration between humans and AI will increase. AI will augment human capabilities more than replace jobs. Hybrid human-AI teams can outperform either alone.

  • Adapting education and training to the AI-powered future of work is critical. The curriculum should evolve to build technical, creative, and soft skills.

  • Companies need to rethink talent strategies, focusing on reskilling workers, planning for human-AI collaboration, and addressing AI ethics issues.

In summary, the report forecasts AI will reshape many jobs and skills in the coming years, requiring companies and workers to proactively adapt via training, hiring, job redesign, and human-AI collaboration. Responsible development of AI will also be key.

🛍️ Amazon: No need to read all reviews, AI will summarize them now.

Amazon now uses AI to summarize product reviews into short paragraphs. This lets shoppers quickly grasp key feedback before reading full reviews. The AI summaries launch this week for some US mobile users. Amazon will likely expand them over time. The move highlights Amazon's increased focus on generative AI across its services.

🧰 AI Tools of the Day

If your resume is not giving the results you need, try Kickresume. AI can CHECK your professional resume to fill in the gaps and compare it with a successful resume in order to make the necessary changes. Get your summary, work experience, and education, with a consistent tone throughout the document. No more staring at a blank screen, wondering how to improve it.

Join Kickresume NOW.

Do you want more tools to streamline your work and life? Download them below here.

📚 The Learning Corner

Three of the best AI Books - Free online

  • Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron CourvilleFree online book. Very recent. Briefly covers required maths too.

  • Information Theory, Inference, and Learning Algorithms by David MackayFree online book. Relatively old (1st 1997, current 2005) but a classic textbook. Very statistical and theoretical. Heavy. Requires a good understanding of multivariate calculus, linear algebra etc.

  • Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto - Online book on RL.

For more get our guide below…

💪🏽 Important AI News and Trends

🌐 Web3 and Tech news

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