Toggle light / dark theme

The Professions of the Future (1)

We are witnessing a professional revolution where the boundaries between man and machine slowly fade away, giving rise to innovative collaboration.

Photo by Mateusz Kitka (Pexels)

As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.

As creator of the ETER9 Project (2), I perceive AI not only as a disruptive force but also as a powerful tool to shape a more efficient, innovative, and inclusive future. As we move forward in this new world, it’s crucial for each of us to contribute to building a professional environment that celebrates the interplay between humanity and technology, where the potential of AI is realized for the benefit of all.

The headset wars: Why it’s Apple’s to lose

Two tech titans are now duking it out in the headset wars. Apple’s Vision Pro and Meta’s Quests offer different price points, different specs, and most importantly, different visions of the future of virtual reality. And both have big hurdles to clear. This week on TechCheck, why the headset battle is Apple’s to lose.

Chapters:
0:00 – Who will win the headset wars?
0:42 – The case for Apple.
5:35 – The case for Meta.
7:56 – The case for both… or neither.

For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/42d859g.

» Subscribe to CNBC TV: https://cnb.cx/SubscribeCNBCtelevision.
» Subscribe to CNBC: https://cnb.cx/SubscribeCNBC

Turn to CNBC TV for the latest stock market news and analysis. From market futures to live price updates CNBC is the leader in business news worldwide.

Connect with CNBC News Online.

Aniai is bringing a burger-cooking robot to restaurants with $12M

Aniai, a startup that has built a burger-grilling robot, Alpha Grill, said today it has raised $12 million, bringing its total raise to $15 million. The money will go toward launching its first manufacturing facility, Factory One, in South Korea. The firm will also be deploying a cloud-based AI software platform for the robot called Alpha Cloud.

Robot adoption in the restaurant business is becoming popular as it can help restaurants address their high pain points like labor shortages, and rising wage issues. Robotics enables restaurants to save 30% to 70% of labor costs, and restaurants could replace more than 80% of restaurant positions with robots, according to a research report.

“Burger chains hire six to eight kitchen staff per shift to grill burgers,” Aniai CEO Gunpil Hwang said. “Alpha Grill enables restaurants to engage only one staff member to grill burgers.”

Is Sam Altman Entering The Chip Business?

Sam Altman made news again, with reporting from the Financial Times that the OpenAI CEO is engaged in discussions with key Middle Eastern investors and the Taiwanese chip giant TSMC to launch a new chip venture to design and build semiconductors for accelerating AI workloads.

At the heart of this venture is the ambitious plan to develop and fabricate chips integral for training and building AI models, reflecting the growing importance of custom hardware in the rapidly expanding field of AI.

Sam Altman is discussing establishing a new venture to develop specialized chips for AI applications with prominent Middle Eastern investors and Taiwan Semiconductor Manufacturing Co, TSMC.

Rethinking AI’s impact: Study reveals economic limits to job automation

The study, authored by five MIT researchers and titled Beyond AI Exposure, delves deep into the practicalities of replacing human labor with AI in the US, focusing on tasks that lend themselves to computer vision, such as those performed by teachers, property appraisers, and bakers.


Like many of us, you might find yourself nodding to a familiar digital doomsday chorus that vibrates through offices and coffee shops alike: AI will take my job!

Is this looming threat substantiated, or simply a manifestation of our shared anxiety in the wake of constant technological advancement? A new study from MIT CSAIL, MIT Sloan, The Productivity Institute, and IBM’s Institute for Business Value is set to challenge our long-held beliefs.

Their research critically examines the economic practicality of using AI for automating tasks in the workplace, with a specific emphasis on computer vision.

Dead Teslas pack Chicago area Supercharger station due to frigid temps

Something to consider for cold weather areas like I live in.


A lot of EV owners were stuck in a parking lot due to charging woes.

Watch FOX 32 Chicago Live: https://www.fox32chicago.com/live.

FOX 32 Chicago delivers breaking news, live events, investigations, politics, entertainment, business news and local stories from Chicago and across the nation.

Watch more FOX 32 Chicago on YouTube:

The AI Revolution In Lead Generation: Navigating New Business Frontiers

The integration of Artificial Intelligence (AI) in lead generation is transforming how businesses identify and engage with potential customers.


Lead generation, a crucial aspect of business development, is undergoing a significant transformation thanks to AI. By leveraging machine learning, natural language processing, and predictive analytics, AI tools can identify prospective customers more accurately and engage them in a more personalized manner. This shift not only increases the volume of leads but also improves their quality, enabling businesses to focus their efforts on the most promising prospects, Einstein from Salesforce is a leader in customer relationship management (CRM), has integrated AI into its platform through Einstein. This AI-powered tool analyzes customer data to predict buying behaviors and recommend the most promising leads. For instance, a marketing agency used Einstein to prioritize leads based on their likelihood to convert, resulting in a 30% increase in sales productivity. HubSpot’s AI Lead Scoring: HubSpot offers an AI lead scoring system that ranks leads based on their potential value to the business. By analyzing historical data and user interactions, it helps companies focus their efforts on leads with the highest conversion potential. A technology startup reported a 25% increase in lead conversion rates after implementing HubSpot’s AI tool.

In addition, we have Drift’s AI Chatbots. Drift utilizes AI-powered chatbots to engage website visitors in real-time. These chatbots can qualify leads by asking pre-programmed questions, allowing businesses to capture information and engage prospects 24/7. A retail company using Drift reported a 40% increase in qualified leads due to the AI’s ability to engage customers outside of regular business hours. Consider LinkedIn Sales Navigator which leveraging AI, helps businesses find leads by analyzing user profiles and activities on LinkedIn. It suggests potential leads based on a company’s customer preferences and search history. A financial services company credited Sales Navigator with a 20% increase in new client acquisitions.

Moreover, MarketMuse uses AI to analyze content and suggest topics that attract and engage the target audience. A content marketing agency using MarketMuse experienced a 50% increase in web traffic, leading to a higher volume of inbound leads. Then, we have IBM Watson’s Personality Insights: This is a tool that analyzes communication styles and personality traits. A business consultancy used this tool to tailor its communication strategy to each lead’s personality, resulting in a 35% higher engagement rate.

Waymo’s Driverless Cars Are Hitting the Highway Sans Safety Drivers in Arizona

To back up the decision, Waymo pointed to its safety record and history building and operating self-driving trucks on highways. (The company shuttered its self-driving truck project last year to focus on taxis.) Including highways should also decrease route times for riders—especially from the airport—with some rides taking half the time.

Although highways are simpler to navigate than city streets—where cars contend with twists, turns, signs, stoplights, pedestrians, and pets—the stakes are higher. A crash at 10 or 20 miles per hour is less likely to cause major injury than one at highway speeds. And while it’s relatively straightforward (if less than ideal) for a malfunctioning robotaxi to stop or pull to the side of the road and await human help in the city, such tactics won’t do on the highway, where it’s dangerous for cars to suddenly slow or stop.

But learning to drive on the highway will be a necessary step if robotaxis are to become an appealing, widely used product. After years of testing, the question of whether companies can build a sustainable business out of all that investment is increasingly pressing.