Infographic: How the STEM Crisis is Threatening the Future of Work
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How the STEM Crisis is Threatening the Future of Work

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STEM education infographic

How the STEM Crisis Threatens the Future of Work

As the world’s leading economy, the U.S. is under pressure to produce the best minds to solve the greatest challenges facing mankind.

The problem is, the United States is falling behind in some of the most important areas of education to help solve the problems of today and tomorrow. The crisis in STEM fields—which cover science, technology, engineering and mathematics—is threatening the growing workforce and in turn, the country’s position in the global economy.

Today’s infographic from Early Childhood Education Degrees explores the importance of STEM education and how an emphasis on these four areas could successfully lead the world into an uncertain future.

The Rise of STEM

STEM is a relatively new term, coined less than two decades ago—although the grouping of subjects was sometimes referred to as SMET in previous years.

While 86% of Americans believe that increasing the number of workers in STEM areas is vital for maintaining their position in the global economy, a 2005 report sounded the alarm that U.S. students were lagging behind academically.

To combat this issue, STEM education and subsequent research programs were injected with more funding. New legislation also helped prioritize these subjects in the curriculum for kindergarten through high school.

The Skills Shift

According to Emsi, a modeler of economic data, undergraduates in STEM education increased by 43% between 2010 and 2016. However, despite the promising growth, 2.4 million STEM jobs went unfilled in 2018.

One possible reason for this? Advancing technologies such as artificial intelligence, quantum computing, and robotics require entirely new skill sets. Success in STEM jobs also relies on adapting to new situations and developing soft skills such as:

  • Creativity and innovation
  • Problem-solving and critical thinking
  • Collaboration and leadership

As these technologies continue to evolve, having skills in STEM will be non-negotiable for employees and leaders the world over.

Threatening U.S. Economic Leadership

Statistics show that the U.S. is providing more opportunities for other countries to take the lead in STEM fields. For example, 62% of all international students in tertiary education in the U.S. are in science and engineering fields, with almost 70% of those students coming from India and China.

What’s more, over half of all U.S. patents go to foreign nationals and companies instead of Americans at home.

If America’s STEM proficiency continues to decline, not only will the skills gap be detrimental to the workforce, but it will also erode its potential future for economic and scientific leadership.

The Global STEM Leaders

According to the World Economic Forum, China is a major player in STEM education, boasting 4.7 million graduates as of 2016.

The country’s swift uptake of STEM initiatives is driven by new government policy, school participation, and parents’ increasing awareness of the benefits that will future proof the careers of their children.

STEM education global

The U.S. sits in third place with 568,000 STEM graduates, but compares closely with India on STEM graduates per population—1 to 52 in India and 1 to 57 in the United States. However, they’re still no match for China’s 1 to 29 ratio.

Narrowing the Skills Gap

If the U.S. is to become a global leader in STEM literacy, innovation, and employment, the Department of Education suggests that a STEM reform is needed, with the increase of diversity and inclusion being a top priority.

A significant opportunity for growth lies in making STEM more accessible for women—but while there has been a steady rise in women pursuing STEM careers, there are still systemic barriers in place that prohibit women from entering.

Experts also suggest that the introduction of STEM at an earlier age and educating students on the diversity of STEM careers are crucial elements in preparing a more capable workforce.

Given the recent demand for reform, it is clear that STEM education is key to thriving in the new technology-based economy and cultivating solutions to real world problems.

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Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

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Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

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