Leadership CONNECT: 10-OCT-2024 (Y24W42)

Dear Thinking Leaders,

We are getting ready for MindLi 2.0; with a set of new features to enhance human thinking.

Thus, in CONNECT, our newsletter, I will highlight various views on this challenge of human thinking in the age of machine thinking.

This week’s Leadership CONNECT is an extended issue (Our next update will be on October 31st):

  1. Telling Case: AI Will Destroy or Create More Jobs? – Learning From Dockworkers, Uber, and RoboTaxis
  2. Case: On Port Automation
  3. Tool: Meta’s New Movie Gen Models
  4. Tool: Open AI Canvas
  5. Thinking Update: Export Your Thinking

Happy Thinking,
Dr. Yesha Sivan and the MindLi Team

P.S. Comments, ideas, feedback? Send me an e-mail

1. Telling Case: Will AI Destroy or Create More Jobs? – Lessons from Dockworkers, Uber, and RoboTaxis

(Source: Op-ed by Dr. Yesha Sivan)

Source: Reuters

The recent (October 2024) strike by U.S. seaport dockworkers once again highlighted the feared impact of AI and digital technologies on employment. In addition to demanding higher wages, the union called for limits on automation, citing that it “kills jobs.”

The International Longshoremen’s Association (ILA), representing 45,000 port workers, had been negotiating a new six-year contract with the United States Maritime Alliance (USMX).

The union sees that while value and profit are being created for shippers and port owners, the increased automation could reduce the workforce by 50% or more. As one protest sign read: “Automation hurts families: ILA stands for job protection.”

Some of the top seaports utilizing automation—including Rotterdam (Netherlands), Shanghai (China), Singapore, and Los Angeles (USA)—already demonstrate significant cost savings, increased safety, improved energy efficiency, and the capability to operate 24/7. The trend toward automation is evident and growing.

Historically, technology has often been blamed for displacing jobs, dating back to the days of the Luddites. However, in most instances, technology has ultimately created more jobs—though often different kinds of jobs. For example, about 200 years ago, around 1820, 70-80% of the workforce in the United States was employed in agriculture. Today, that number is less than 2%, thanks to industrialization, technological advancements, and the emergence of other sectors such as manufacturing and services.

While some jobs are destroyed, others are being created. This has been the nature of workforce mobilization, resulting in a U.S. unemployment rate of 4.1% in September 2024. Globally, many countries are experiencing similar dynamics, with automation reshaping industries and causing both job losses and the emergence of new opportunities.

Will this trend continue? Let’s explore what is happening in the transportation industry:

Before AI — In most places, services like Uber, Lyft, and Gett disrupted traditional taxi jobs (both drivers and dispatchers) and enabled many non-professionals to make a living. Digitization of navigation and ride-hailing changed the industry. For example, you no longer had to work full days to recoup initial costs; driving became a second or part-time job.

After AI — Companies like Waymo and Cruise (and Tesla with its RoboTaxies) have demonstrated the feasibility of self-driving cars. They have made significant strides in autonomous vehicle technology towards fully autonomous driving. For now, these services are still small, they have created many development and supervision jobs while destroying relatively few traditional jobs.

AI, with its capability to work alongside humans (such as the new “canvas” from OpenAI, used to write this post), is not merely digitizing existing processes—it is transforming them entirely. What will AI do to jobs?

Broadly speaking, and let me speculate here, today in the U.S., there are approximately 1.5 to 2 million people driving both traditional taxis and Uber-like services. In ten years, with the rise of autonomous vehicles and shifts in mobility trends, this number could decrease to around 500,000 to 1 million, as self-driving technology gradually reduces the demand for human drivers. A gain of, say, 10,000 employees in managing the above transformation is meaningless.

In conclusion, we may be approaching what could be described as a “digital Malthusian trap,” where digital advancements lead to a net loss in employment. This is due to the rapid pace of development driven by AI. The results: digital/ai markets are evolving much faster than the rate at which human workers can adapt and transition.

Read more about this topic:

2. Case: On Port Automation 

(Source: USA GAO report)

Source: TraPac

GAO report on Port Infrastructure: U.S. Ports Have Adopted Some Automation Technologies and Report Varied Effects

GAO, often called the “Congressional Watchdog,” is an independent, non-partisan agency that works for Congress. GAO examines how taxpayer dollars are spent and provides Congress and federal agencies with objective, non-partisan, fact-based information to help the government save money and work more efficiently.

The GAO report highlights that all of the largest U.S. ports have adopted automation technologies, such as tracking systems and automated equipment for handling cargo. While automation can improve safety and efficiency, its impact on job availability and port performance varies. Some ports report slower performance using automated equipment compared to traditional methods. U.S. ports lag behind foreign counterparts in automation due to factors like labor availability and cost.

See the report
Watch a Video on Los Angeles ports

3. Tool: Meta’s New Movie Gen Models

(Source: Meta)

Source: Meta

Meta’s new Movie Gen models aim to revolutionize creative media by enabling users to generate high-quality video, audio, and personalized content using simple text inputs.

With capabilities like precise video editing, personalized video generation, and synced audio production, the models are designed to empower creators without replacing artists, pushing the boundaries of generative AI in content creation.

The system combines advanced multimodal features for enhanced user control over their artistic visions.

Read More

4. Tool: Open AI Canvas

(source: OpenAI)

Source: OpenAI

OpenAI introduces Canvas, a new interface that enhances writing and coding collaboration with ChatGPT.

Canvas allows users to edit, revise, and create content alongside the AI in real time. It supports detailed feedback, in-line code debugging, and document revisions, making it easier to manage complex projects.

Available in beta for ChatGPT Plus and Teams users, Canvas aims to improve both writing and coding workflows by providing a more interactive experience.

Read More

5. Thinking Update: Export Your Thinking
 

(Source: MindLi)

This section of the newsletter will provide you with a better understanding of the qualities of MindLi, share tips and tricks, and update you with new features, as well as other MindLi news. More: Help page or MindLi’s YouTube channel.

Source: MindLi

Do you worry about accidentally deleting all the Sparks you’ve collected and the content they hold? if so, let us present an important feature to take your worries away – Export My Thinking

At any point, you can go into your Settings and choose “Export my thinking”, this feature will export all your sparks, Boxes, and attachments as a zip file. You can choose to download as 3 types of files: HTML, JSON, or CSV.

Notice – if you have a lot of Sparks and Boxes it might take a few minutes.

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About Leadership CONNECT

MindLi newsletter, Leadership CONNECT, is a weekly source of news and inspiration for thinking aimed at DigitalRosh members and MindLi users. 

In every issue, you will find curated content from different industries. It would take less than 5 minutes reading to get a brief overview of the presented topics.

Want to delve deeper? You would need to have a subscription to the DigitalRosh site which is an affiliate site of MindLi. It is Free. Click on the links in each item or follow the breadcrumbs to the DigitalRosh website.

Enjoy!

See past CONNECT editions

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