Le/The/El 3

It’s the start of a new month; six months to go until Halloween in October (where has the time gone?)!

Here are the three articles that caught my eye today:

  1. I love Southwest Airlines – it’s gritty, no hands attitude when it comes to marketing and gaining customers is priceless. This partnership with China Airlines and Icelandair? It confuses me because it’s now becoming another normal airline (pay for baggage, seat upgrades etc): link
  2. Is AI learning to escape human control? Or is this an illusion? Link and
  3. This will be your new jet passenger plane (there’s a reason why Delta, United and Alaska invested in this start-up): link
  4. Bonus: if you’re working in the media and entertainment industry, you need to see how other industries are using AI and see if you can adapt them at your company. Walmart’s agentic AI idea? Brilliant. I’ll break it down for you:

4a) company created its own AI LLM (aka, didn’t use a third party company) to suit its needs

4b) AI was trained using Walmart’s data; no one else’s

4c) here’s how the company is using AI: (1) trend analysis – make the item faster so it’ll arrive at the store for you to buy in 18 weeks (not months; weeks) (2) automating tasks and (3) customer support -> answering the customer’s question(s) and helping them find the item they need

4d) the next stage? A personal shopping AI agent, tuned to your needs (you need to train it when you shop)

See how the same ideas are being applied at the leading entertainment companies (cough….netflix…cough)?

Le/The/El 3

Today? Dissecting this Wilmerhale article on AI and healthcare.

My analysis? Putting on my Geography lens (economic and cultural) and how it applies to the tech, media and entertainment industry.

Background

AI in healthcare is complicated because it’s moving fast while government laws and regulatory processes are lagging. Other issues? Whether data privacy, bias and sensitive data (health, location, web) are off-limits for the LLM.

Analysis

Same issues in the tech, media and entertainment industries. LLM needs user data (web, location). My Geography POV? Data laws are different across the country and world. Some governments impose streaming/YouTube while others prevent the LLM from using the content to train the AI models (example? UK)

Economic Geography Lens

In AI and healthcare, one of the goals of using AI is to close the gap between the rural and urban hospitals when it comes to health care. To make sure that the rural hospitals have the same access to health care information as the urban ones. When it comes to applying these ideas in the tech, media and entertainment industry, the same rules apply. People living in rural areas can be exposed to the same ideas as their urban counterparts.

Also, when AI is used in healthcare, the software could save around $200 to $360 billion a year (around 5-6% of health care spending in the US). The same idea can be applied to tech, media and entertainment industry. For example? (1) using AI chatbots to help subscriber’s answer questions (eg: bills, upgrading or downgrading streaming account) (2) automating basic tasks. Example? Creating a background scene with extra people or (3) allocating resources for a project – designing, budgeting and staffing a project. All of this complements the human in charge. It doesn’t replace them.

Cultural Geography Lens

When it comes to AI and healthcare, the software needs to make sure that there’s no bias (race, etc) when it comes to analyzing a patient’s data.

Apply this idea to the tech, media and entertainment industry? Each country is different. Some streamers in LA will be binging fashion show, in South Korea? Dramas or cooking shows. 

LA is the cultural center of the world. Where the shows, songs and movies are created and exported to the world to see. To reflect PAX Americana. South Korea? Has the same focus as LA but it’s more nuanced. For example? Skin care, k-pop (songs).

Thanks for reading. My name is Nick. Geography’s my edge when it comes to analyzing tech, media and entertainment issues. 

le/the/el 3

Hey, it’s Nick—Geographer turned trendspotter. My Friday Spaces was 2 minutes of me decoding NBCU’s patent 12225264 (it’s an ad insert software) set the stage. I’m giving you a Geography spin on tech, media, entertainment’ with an economic and cultural lenses—LA/NY, Gen Z vibes. X tagged @NBCUniversal—Substack’s my deep dive. Friday’s teaser hooked it—tonight’s the full take—why this patent’s a game-changer, how my war map lights it up. Let’s dive in.

NBC’s patent number 12225264 is a software create a unique ID number. Like I said on Friday, the software slots ads into streams from Peacock. Consider it like a brain where IDs tag ads are drop into the streaming show and the viewers see them. Remember, these ads are targeted towards a certain demographic, like Gen Z (that’s why during my Spaces talk, I said it was demo related). For example, a Gen Z kid living in LA whose binge watching sitcoms will see sneaker ads, not car loans. An efficient way of getting more clicks and money when the demos bite. Friday’s Spaces where I talked about targeting the demo they want? Here are the facts – automation cuts the fat, lands the punch. It’s tech shifting ad cash—my lens maps it.

My Geography spin? From an economic and cultural POV? Economic: ‘LA and NYC ad worlds will love this’—Spaces nailed it—hubs where ad dollars flow. Software targets—agencies in those cities rake it—my war map glows LA/NY, not nowhere-ville. Dollars chase demos—efficiency wins. Cultural: ‘My guess? Gen Z…’—Friday’s call—hard-to-reach, streaming junkies. This patent hits ‘em—ads match their vibe—quick, slick, no fluff. ‘Targets the demo they want’—20% Gen Z chatbot love (Friday’s hint) backs it—targeted tech’s their game. OpenAI? Ad shifts hint compute trends—my map tracks it. Skydance? Paramount+ vendors sync—ad edge shines.”

That’s it. NBCU’s ad insert edge, my full Geography take. Patent 12225264—‘instead of shooting blanks,’ it’s a bullseye—automation’s king. Spaces kicked it. Geography’s my edge.