****The Official A.I. Thread****

[BigRedChief]

All the new applications and systems made better or replaced with A.I.

First up Google Maps

Introducing Geospatial Analytics

Google Maps Platform is used by over 10 million websites and apps. Customers want to access more insights from our up-to-date, comprehensive geospatial data, so they can make more informed business and sustainability decisions. That’s why for the first time, we’re integrating new Google Maps Platform datasets, along with Earth Engine datasets and capabilities, directly into BigQuery, to make it easier for data analysts and decision makers to access insights. Read this blog to go deeper on our geospatial analytics capabilities. Starting today, the following datasets can be accessed in BigQuery:

Our first Imagery Insights dataset, available in Experimental, applies Vertex AI in Google Cloud directly to Street View imagery in data clean rooms, to identify, detect, and see the condition of key infrastructure objects, like telephone poles, street signs, roads, and bridges. If a telecom company wants to identify which utility poles require maintenance, they can use this dataset to more easily locate all their poles virtually.

Places Insights available in Preview, enables businesses to get customized, aggregated insights about many places in a wider area, based on ratings, store hours, parking, wheelchair accessibility, and more. If a retailer wants to open a new store in an area with a high concentration of expensive restaurants and a low density of large retail brands, Places Insights will provide insights on locations that fit this criteria.

Roads Management Insights available in Preview, helps public sector and road authorities analyze traffic data and improve roads with historical and real-time traffic information. For example, traffic authorities can use the insights from this to identify accident-prone areas and add safety measures like speed bumps or stop signs. They can also build models that forecast traffic conditions to mitigate congestion before it even occurs.

Earth Engine in BigQuery available in Preview, enables organizations to derive sustainability insights, such as wildfire risk or deforestation, from satellite imagery for a specified area of interest. With a new geospatial function and 20 new Earth Engine datasets available in BigQuery, this feature makes advanced geospatial analysis accessible to data analysts–even if they don’t have remote sensing expertise.

In addition to these new geospatial analytics capabilities, Google Earth now provides no-code geospatial analytics tools that enable any professional to access insights. To offer a more comprehensive suite of geospatial tools for developers, data analysts and geospatial practitioners, we're bringing Google Earth–which remains available for everyone–and our new geospatial analytics datasets into the Google Maps Platform family. Visit our new website to learn more about our broader geospatial analytics portfolio.

https://mapsplatform.google.com/reso...i-and-weather/

[Otter]

I have a theory that all the English majors who STEM peeps like myself have made fun of may take over due to how AI is engaged.

Any thoughts on that from the 40yol tech guys? Or anyone?

[BigRedChief]

Originally Posted by Otter

I have a theory that all the English majors who STEM peeps like myself have made fun of may take over due to how AI is engaged.

Any thoughts on that from the 40yol tech guys? Or anyone?

Sure. Almost every AI guru I’ve worked alongside with either had no interest in other fields of IT because they knew AI would last them through retirement. They just need to keep up with advances in the field. A full-time job these days.

Most of the jobs will be coding AI but there will still be plenty of high paying jobs like Cloud Architect and networking to get the AI feed in and out without compromise results of bots going into the data lake. Yes, English majors are working in tech. And other languages. Those that can make queries more succinct but still get the data volume of returns they are seeking will be well payed.

Or getting the AI bots out to its learning targets and back in with their results without picking something up in the wild. All that is making sure the bots are in a standard security group so they can get easily flagged upon returning home if something is flagged.

[Otter]

Originally Posted by BigRedChief

Sure. Almost every AI guru I’ve worked alongside with either had no interest in other fields of IT because they knew AI would last them through retirement. They just need to keep up with advances in the field. A full-time job these days.

Most of the jobs will be coding AI but there will still be plenty of high paying jobs like Cloud Architect and networking to get the AI feed in and out without compromise results of bots going into the data lake. Yes, English majors are working in tech. And other languages. Those that can make queries more succinct but still get the data volume of returns they are seeking will be well payed.

Or getting the AI bots out to its learning targets and back in with their results without picking something up in the wild. All that is making sure the bots are in a standard security group so they can get easily flagged upon returning home if something is flagged.

Thank you BRC.

I truly believe we're about to go through a slow burn paradigm shift over the next 5 years. As in industrial revolution part duex x100.

[BigRedChief]

Forbes Article

These Jobs Will Fall First As AI Takes Over The Workplace

ByJack Kelly, Senior Contributor. Jack Kelly covers career growth, job market and workplace trends.

Artificial intelligence is advancing at breakneck speed. The big question is how long it will take until technology dominates the job market. You should start thinking about your own career. Will you be caught up in the change? With the U.S. navigating a $36 trillion debt, tariff tensions, and economic uncertainty, the specter of disruption from AI adds urgency for workers to protect themselves.

Artificial intelligence is expected to fundamentally transform the global workforce by 2050, according to reports from PwC, McKinsey, and the World Economic Forum. Estimates suggest that up to 60% of current jobs will require significant adaptation due to AI. Automation and intelligent systems will become an integral part of the workplace.

o remain competitive, invest in skills like critical thinking and digital fluency. Target AI-resilient sectors like healthcare or education. Advocate for retraining programs to reinvent your career.

As macro investor and founder of the Bridgewater hedge fund Ray Dalio warns, the economy’s future hinges on balancing AI’s power with human potential. He says those who prepare now will shape the world of tomorrow.

Things Are Changing Quickly

Estimates vary, but experts converge on a transformative window of 10 to 30 years for AI to reshape most jobs. A McKinsey report projects that by 2030, 30% of current U.S. jobs could be automated, with 60% significantly altered by AI tools. Goldman Sachs predicts up that to 50% of jobs could be fully automated by 2045, driven by generative AI and robotics.

Goldman Sachs previously estimated that 300 million jobs could be lost to AI, affecting 25% of the global labor market. On the bright side, AI is least threatening to labor-intensive careers in construction, skilled trades, installation and repair, and maintenance.

Dalio warns of a “great deleveraging” where AI accelerates productivity but displaces workers faster than new roles emerge, potentially within two decades. Larry Fink, the CEO of Black Rock, speaking at the Economic Club of New York this month, cautioned that AI’s impact is already visible in sectors like finance and legal services, predicting a “restructuring” of white-collar work by 2035. Jamie Dimon, CEO of JPMorgan Chase, estimates in his shareholder letter that AI will dominate repetitive tasks within 15 years.

The actual pace depends on technological breakthroughs, regulatory frameworks, and economic incentives. Hedge fund billionaire Bill Ackman, who runs Pershing Square, argues that corporate adoption of AI is accelerating due to cost pressures, potentially shrinking timelines.

Treasury Secretary Scott Bessent counters that AI could bolster U.S. competitiveness if paired with retraining, delaying mass displacement. By 2040, AI will likely automate or transform 50% to 60% of jobs, with full dominance (80% and higher) possible by 2050, assuming steady innovation.

Which Jobs Will AI Take First to Last?

AI’s impact will not be uniform. Some jobs will fall quickly, while others resist longer. Jobs like data entry, scheduling, and customer service are already being overtaken by AI tools like chatbots and robotic process automation.

A 2024 study by the Institute for Public Policy Research found 60% of administrative tasks are automatable. Fink notes that BlackRock is streamlining back-office functions with AI, cutting costs. These roles, requiring repetitive data processing, face near-term obsolescence as AI’s accuracy and scalability improve.

Bookkeeping, financial modeling, and basic data analysis are highly vulnerable. AI platforms like Bloomberg’s Terminal enhancements can already crunch numbers and generate reports faster than humans. Dimon warns that JPMorgan is automating routine banking tasks, with 20% of analytical roles at risk by 2030.

Paralegal work, contract drafting, and legal research are prime targets, as AI tools like Harvey and CoCounsel automate document analysis with 90% accuracy, according to a 2025 Stanford study. Dalio highlights AI’s ability to parse vast datasets, threatening research-heavy roles in academia and consulting. Senior legal strategy and courtroom advocacy, however, will resist longer due to human judgment needs.

Graphic design, copywriting, and basic journalism face disruption from tools like DALL-E and GPT-derived platforms, which produce content at scale. A 2024 Pew Research Center report notes that 30% of media jobs could be automated by 2035. Ackman, commenting on X, predicts AI-generated content will dominate advertising soon but argues human creativity in storytelling and high art will endure longer, delaying full automation.

Software development, engineering, and data science are dual-edged: AI boosts productivity but also automates routine coding and design tasks. A 2025 World Economic Forum report flags that 40% of programming tasks could be automated by 2040. Bessent sees growth in AI-adjacent roles like cybersecurity, but standardized STEM work will gradually cede to algorithms. Complex innovation, like breakthrough research and development, will remain human-driven longer.

Diagnostic AI and robotic surgery are advancing, but empathy-driven roles like nursing, therapy, and social work are harder to automate. A 2023 Lancet study estimates 25% of medical administrative tasks could vanish by 2035, but patient-facing care requires human trust.

Teaching, especially in nuanced fields like philosophy or early education, and high-level management jobs rely on emotional intelligence and adaptability, which AI struggles to replicate. A 2024 OECD report suggests only 10% of teaching tasks are automatable by 2040. Dimon and Ackman stress that strategic leadership, navigating ambiguity and inspiring teams, will remain human-centric.