Why is DeepSeek Such a Big Deal?

AI Riddle:

I can be long or short, I can be happy or sad. I can be given, but I can’t be touched. Once I’m revealed, you can’t take me back.

What am I?

Today’s Motive:

🐳 Why is everyone in the AI industry so concerned about the Chinese development of DeepSeek?

🏗️ The McKinsey Institute laid out their future jobs report with main highlights around AI.

👨‍💼 3 fast-growing careers in the AI industry.

🤑 Check out the latest AI deals below. 💸 

🛠️ Get the scoop on the latest AI tools at a glance section.

DEEPSEEK

🐳 America is Feeling the Impacts of China’s DeepSeek AI.

We wrote about China's DeepSeek AI model on January 9th, and now that people have been testing it out, the effects are beginning to impact America's confidence curve in their AI products.
For further reading, follow the link here.

Summary:

Impact on the American AI Industry

DeepSeek developed their AI model, R1, claiming performance comparable to or better than leading models like OpenAI's o1, but at a fraction of the development cost.

Concerns on Cost

This achievement has raised concerns about the efficiency and cost-effectiveness of investments in AI research by U.S. firms, and Trump's recent $500bn government AI investment.

Major tech stocks, including Nvidia, Microsoft, Meta, and Tesla, have experienced declines due to fears of losing their competitive edge.

Global Competition

Analysts suggest that DeepSeek's emergence could lead to increased competition, potentially challenging the dominance of established U.S. tech companies in the AI sector.
However, U.S. companies still hold a significant advantage due to their access to advanced GPUs, primarily from Nvidia.

Impact on the Cryptocurrency Industry

The rise of DeepSeek has also influenced the cryptocurrency market. Bitcoin, for example, dropped by 5.5% to $98,864, reflecting a broader decline in cryptocurrencies. This downturn is attributed to the influence of AI in the crypto space, leading to uncertainty in AI crypto investments.

Companies Affected

You could round up all American AI into this space, but that's not best practice. Open-source devs like Meta and Antropic are feeling the edge, while Nividia is seeing a tick down. Cypto AI Companies like Render, Filecoin, Arweave, and Akash Network are being hit.

The Motive:

Today, there is a lot of speculation about American AI setting the highest standard, but with a little competition, it appears to rattle the markets. The dominance of AI tech will continue to hold strong in the U.S. in the meantime, but nothing is forever.

Do I see Chinese AI taking over in the short term? Most likely not, but things change. People typically use what's cheapest, intuitive, and outperforms the competition.

Today’s top AI tool at a Fraction of the price.

See oncely.com for more deals on AI tools.

AI CAREERS

👷‍♂️ Another Future Jobs Report Hits the Public. What is the Going Narrative?

 🧑‍⚕️ The McKinsey Institute laid out its predictions for future jobs while addressing the impacts of AI in North America and the careers most affected by AI. This report also tells of careers that will see an uptick due to AI.

Summary:

Jobs on the Decline

There could be a 40% decline in jobs between here and 2030 in sectors such as food services, production work, office support, customer service, and sales.

These careers will be largely impacted due to automation, advances in fintech, and less need for human-to-human communication.

Stalled Occupations that Do not See a Significant Impact

Careers that will not see a significant change between 2025 and 2030 could include construction, creatives and arts management, property maintenance, mechanical installation and repair, agriculture, education and workforce training, and community services.

Careers in this sector could see some changes, but most changes are not predicted to offset the total job numbers.

Job Sectors Expected to Rise

The report forecasts showed significant increases in careers in these areas. This includes careers in health, STEM professionals, managers, transportation, and business and legal services.

The greatest increase with a positive influence will be in professions across research, the healthcare industry, robotics, and computer science in regards to AI.

The Motive:

After going over several different future job reports, correlations begin to appear between them. Skilled trades and hands-on careers will most likely see little changes. Healthcare goes up across the board due to the aging population.

Careers in the tech industry are a mixed bag, with Computer Programmers seeing a massive decline, yet professions in machine learning and servicing are set to see growth.

The report did not include any future projects of humanoids entering the workforce, but that could be more impactful after 2030.

AI Tools at a glance:

AI CAREERS

👩‍🔬 Three Fast-Growing AI Careers to Aid Your Career Path.

 🏫 Are you considering a career change or just starting out? Here are three fast-growing AI fields to start your search.

Summary:

1. AI Engineer

AI engineers are responsible for developing and implementing AI algorithms and models, focusing on creating AI systems with human-like intelligence.

This role demands strong programming skills in languages like Python and C++, with an understanding of machine learning frameworks.

There has been a hiring growth of 74% annually over the past four years, and the U.S. Bureau of Labor Statistics projects that demand for AI engineers will increase by 23% over the next decade. 

Requirements

A bachelor's degree in computer science, data science, or a related field is typically required.

2. Machine Learning Engineer

Design systems that can learn from data and make decisions with minimal human intervention. They build and optimize machine learning models, requiring expertise in statistics, data analysis, and proficiency in programming languages such as Python and Java.

The increasing application of machine learning across sectors like healthcare, finance, and technology has led to a high demand for professionals in this role.

Requirements:

Typically, a bachelor's degree in computer science, mathematics, or a related field, with strong programming skills in languages like Python and machine learning frameworks like TensorFlow or PyTorch.

3. AI Research Scientist

AI research scientists focus on advancing the field of artificial intelligence by developing new algorithms and models. They conduct experiments, publish findings, and collaborate with academic institutions or research labs.

The continuous pursuit of innovation in AI drives the demand for research scientists dedicated to exploring uncharted territories in the discipline.

Requirements:

A bachelor's degree in computer science, mathematics, or a related field will start you off along this career path.  

The Motive:

One thing that most professions in AI have in common is a bachelor's degree in computer science, but there are a number of skills to acquire to aid in landing an AI job. These fall into AI courses and relevant skills within the AI network. More on this to come in future newsletters.

Good luck.