Connect with us

News

US ranks 9th in list of countries ready for an AI-enhanced workforce

[Credit: Quartz]

Published

on

A new study published by Switzerland-based ABB Group has determined that the United States is lacking in terms of AI and automation readiness, at least when compared to other developed nations. Among a list of 25 countries, the US ranked 9th overall, almost dropping out of the study’s Top 10 list despite being an early adopter of artificial intelligence.

ABB opted to rank the different countries in its study using its Automation Readiness Index, which determines which nations are putting in the effort to ensure that its workforce is prepared for an AI-powered, automated future. The countries that were part of the study were evaluated according to three main categories — innovation environment, school policies, and public workforce development. While the United States scored well in the first category, it lagged in school policies and workforce development. South Korea, Singapore, Germany, Japan and Canada rounded up the Top 5 of the ABB’s rankings.

As noted in a report from The Next Web, a good reason behind the United States’ poor rankings in the ABB study could be due to the country’s outdated school system and its sluggish regulatory environment. So far, America still adopts a rather traditional approach to teaching, emphasizing rote memory and theoretical knowledge at times and hammering the notion that the path towards success is attained exclusively through a college degree.

In contrast, several of the countries in the Automation Readiness Index’s Top 5 — Japan, South Korea, and Singapore, specifically — have all adapted their school curriculum for emerging technologies, teaching in-demand skills and prioritizing STEM since early education. Thus, while American students are still memorizing dates and learning how to type, their counterparts in Japan would already be learning about computer science and dabbling in robotics. Germany is adopting a similar strategy too, allowing students to serve in apprenticeships straight out of high school.

In a statement to the Los Angeles Times, Susan Lund, a labor economist at global consulting firm McKinsey, noted that with the advent of AI and workplace automation, not everyone needs to have a college degree to thrive.

Advertisement
-->

“Not everyone needs a four-year college degree. We could do a lot to build more career pathways. Even just skill-credentialing to enable people to get a basic, entry-level job,” she said.

As for automation readiness, Lorenzo Fioramonti, professor of political economy at the University of Pretoria in South Africa, noted in a statement that the workforce of tomorrow would have to be adaptable, considering the quick improvements in the AI and automation industry.

“The major difference with the past is that today’s automation technologies are highly intelligent and able to learn,” he said.

While AI is used for technologies like weapons and surveillance systems, artificial intelligence and machine learning are already being integrated into everyday life. AR filters in social media, automatic translators in Google, and captioning algorithms in YouTube, for example, all utilize AI and machine learning. Unfortunately for the United States, it appears like it would be a while before it starts producing workers that are fully trained to thrive in the AI revolution.

Advertisement
-->

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

Elon Musk

NVIDIA CEO Jensen Huang commends Tesla’s Elon Musk for early belief

“And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.”

Published

on

Credit: NVIDIA

NVIDIA CEO Jensen Huang appeared on the Joe Rogan Experience podcast on Wednesday and commended Tesla CEO Elon Musk for his early belief in what is now the most valuable company in the world.

Huang and Musk are widely regarded as two of the greatest tech entrepreneurs of the modern era, with the two working in conjunction as NVIDIA’s chips are present in Tesla vehicles, particularly utilized for self-driving technology and data collection.

Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI

Both CEOs defied all odds and created companies from virtually nothing. Musk joined Tesla in the early 2000s before the company had even established any plans to build a vehicle. Jensen created NVIDIA in the booth of a Denny’s restaurant, which has been memorialized with a plaque.

On the JRE episode, Rogan asked about Jensen’s relationship with Elon, to which the NVIDIA CEO said that Musk was there when nobody else was:

Advertisement
-->

“I was lucky because I had known Elon Musk, and I helped him build the first computer for Model 3, the Model S, and when he wanted to start working on an autonomous vehicle. I helped him build the computer that went into the Model S AV system, his full self-driving system. We were basically the FSD computer version 1, and so we were already working together.

And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.

He goes ‘You know what, I have a company that could really use this.’ I said, Wow, my first customer. And he goes, it’s an AI company, and it’s a nonprofit and and we could really use one of these supercomputers. I boxed one up, I drove it up to San Francisco, and I delivered it to the Elon in 2016.”

The first DGX-1 AI supercomputer was delivered personally to Musk when he was with OpenAI, which provided crucial early compute power for AI research, accelerating breakthroughs in machine learning that underpin modern tools like ChatGPT.

Tesla’s Nvidia purchases could reach $4 billion this year: Musk

Advertisement
-->

The long-term alliance between NVIDIA and Tesla has driven over $2 trillion in the company’s market value since 2016.

Continue Reading

Elon Musk

GM CEO Mary Barra says she told Biden to give Tesla and Musk EV credit

“He was crediting me, and I said, ‘Actually, I think a lot of that credit goes to Elon and Tesla…You know me, Andrew. I don’t want to take credit for things.”

Published

on

General Motors CEO Mary Barra said in a new interview on Wednesday that she told President Joe Biden to credit Tesla and its CEO, Elon Musk, for the widespread electric vehicle transition.

She said she told Biden this after the former President credited her and GM for leading EV efforts in the United States.

During an interview at the New York Times Dealbook Summit with Andrew Ross Sorkin, Barra said she told Biden that crediting her was essentially a mistake, and that Musk and Tesla should have been explicitly mentioned (via Business Insider):

“He was crediting me, and I said, ‘Actually, I think a lot of that credit goes to Elon and Tesla…You know me, Andrew. I don’t want to take credit for things.”

Back in 2021, President Biden visited GM’s “Factory Zero” plant in Detroit, which was the centerpiece of the company’s massive transition to EVs. The former President went on to discuss the EV industry, and claimed that GM and Barra were the true leaders who caused the change:

“In the auto industry, Detroit is leading the world in electric vehicles. You know how critical it is? Mary, I remember talking to you way back in January about the need for America to lead in electric vehicles. I can remember your dramatic announcement that by 2035, GM would be 100% electric. You changed the whole story, Mary. You did, Mary. You electrified the entire automotive industry. I’m serious. You led, and it matters.”

People were baffled by the President’s decision to highlight GM and Barra, and not Tesla and Musk, who truly started the transition to EVs. GM, Ford, and many other companies only followed in the footsteps of Tesla after it started to take market share from them.

Advertisement
-->

Elon Musk and Tesla try to save legacy automakers from Déjà vu

Musk would eventually go on to talk about Biden’s words later on:

They have so much power over the White House that they can exclude Tesla from an EV Summit. And, in case the first thing, in case that wasn’t enough, then you have President Biden with Mary Barra at a subsequent event, congratulating Mary for having led the EV revolution.”

In Q4 2021, which was shortly after Biden’s comments, Tesla delivered 300,000 EVs. GM delivered just 26.

Advertisement
-->
Continue Reading

News

Tesla Full Self-Driving shows confident navigation in heavy snow

So far, from what we’ve seen, snow has not been a huge issue for the most recent Full Self-Driving release. It seems to be acting confidently and handling even snow-covered roads with relative ease.

Published

on

Credit: Grok

Tesla Full Self-Driving is getting its first taste of Winter weather for late 2025, as snow is starting to fall all across the United States.

The suite has been vastly improved after Tesla released v14 to many owners with capable hardware, and driving performance, along with overall behavior, has really been something to admire. This is by far the best version of FSD Tesla has ever released, and although there are a handful of regressions with each subsequent release, they are usually cleared up within a week or two.

Tesla is releasing a modified version of FSD v14 for Hardware 3 owners: here’s when

However, adverse weather conditions are something that Tesla will have to confront, as heavy rain, snow, and other interesting situations are bound to occur. In order for the vehicles to be fully autonomous, they will have to go through these scenarios safely and accurately.

One big issue I’ve had, especially in heavy rain, is that the camera vision might be obstructed, which will display messages that certain features’ performance might be degraded.

Advertisement
-->

So far, from what we’ve seen, snow has not been a huge issue for the most recent Full Self-Driving release. It seems to be acting confidently and handling even snow-covered roads with relative ease:

Moving into the winter months, it will be very interesting to see how FSD handles even more concerning conditions, especially with black ice, freezing rain and snow mix, and other things that happen during colder conditions.

We are excited to test it ourselves, but I am waiting for heavy snowfall to make it to Pennsylvania so I can truly push it to the limit.

Continue Reading