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Seattle Mayor Harrell announces new AI plan for city services

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Seattle residents could see expanded use of artificial intelligence in permitting, public safety, customer service and more as Mayor Bruce Harrell rolls out a new framework for how the city will incorporate the technology.

In a Thursday news conference, Harrell announced a new 26-page AI plan that includes guidelines for training employees, evaluating the effectiveness of AI tools and expanding the use of AI to a variety of city operations. The new plan also comes with an updated version of Seattle’s AI policy for employees.

“We are trying to be very intentional about positioning Seattle as a national leader in responsible artificial intelligence implementation,” Harrell said.

Seattle will use AI to improve a variety of city services, Harrell said. Various AI pilots are already underway, including a partnership with software company CivCheck in an effort to speed permitting times, and a partnership with enterprise software provider C3.ai, Microsoft and the Seattle Department of Transportation on a project that uses AI to analyze near-miss car incidents and identify dangerous streets.

Thursday’s press conference — which featured entrepreneurial jargon like “solutioning” and “upskilling” — was held at AI House, a co-working, event and “incubation” space on the Seattle waterfront launched through a public-private partnership earlier this year. The mayor addressed many of his comments to representatives from Seattle’s AI industry, stressing his desire to support the tech sector and harness local talent to help address civic issues.

“We have the second-biggest epicenter of AI talent, and our ability to activate that is key to our success,” said Seattle Chief Information Officer Rob Lloyd.

Seattle’s new AI plan alludes to “workforce transitions” and “organizational change” that will “inevitably create tensions” as the city’s embrace of AI “shifts the very nature of many jobs.”

Asked what city jobs might be replaced by AI, Harrell said it’s “premature” to go into specifics.

“When one door is closed in terms of a repetitive function, many more doors open for employment opportunity,” Harrell said, adding that the city will take a human-centered approach and work with labor groups “as we look at certain tasks that could possibly be replaced by AI.”

Lloyd said the goal is to empower city employees — not to replace them.

“People matter in making the most important decisions,” Lloyd said. “The critical decisions ultimately come back to the humans.”

Seattle was one of the first cities in the country to adopt generative AI guidelines in 2023. The updated 2025 policy is similar: It says all AI outputs must be reviewed by humans for accuracy and bias. (The jargon the city uses is “HITL,” short for “human in the loop.”)

If significant amounts of text generated by AI are used in a final product, the policy requires attribution to the relevant AI system. Here’s what the city suggests as a sample disclosure line:

“Some material in this brochure was generated using ChatGPT 4.0 and was reviewed for accuracy by a member of the Department of Human Services before publication.” 

Lloyd said there “aren’t any penalties per se” for employees who violate the policy’s rules around disclosure.

Last month, Cascade PBS and KNKX published a two-part series about how city governments in Washington have used ChatGPT for a variety of policy and communication tasks. The series, based on thousands of pages of ChatGPT logs obtained through public records requests, was focused on Bellingham and Everett, but only because those cities were fastest to respond to records requests. Several Washington cities, including Seattle, are continuing to respond slowly in installments.

Lloyd said Seattle’s embrace of AI comes with lots of guardrails.

“There is a security process, there is privacy consideration, and as we go through that, we are also saying that we will enable AI to make the city of Seattle able to solve civic challenges,” Lloyd said.

The city’s updated AI policy includes prohibitions on the use of AI for monitoring and classifying individuals based on their behavior, for autonomous weapons systems and for consequential decisions.

All stories produced by Murrow Local News fellows can be republished by other organizations for free under a Creative Commons license. Image rights may vary. Contact editor@knkx.org for image use requests.





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Palantir, a leading artificial intelligence (AI) software company, is emerging as a major U.S. stock..

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Palantir, a leading artificial intelligence (AI) software company, is emerging as a major U.S. stock favored by Koreans. [Photo source = Yonhap News]

Palantir, a leading artificial intelligence (AI) software company, is emerging as a major U.S. stock favored by Koreans.

According to the Korea Securities Depository on the 13th, the value of Palantir shares (storage) held by domestic investors reached $5.85 billion (8.1329 trillion won) as of the 10th, making it the third-largest foreign stock after Tesla and Nvidia.

At the beginning of this year, Palantir ranked eighth in storage, but it jumped five spots in just nine months. Storage increased by about 2.5 times from $2.3 billion.

Palantir is a company that sells advanced AI services to the military, government, companies, and intelligence agencies. The main goal is to help AI analyze vast and diverse data within the organization to find specific patterns and predict the future to make wise decisions.

In Korea, companies such as HD Hyundai Infracore and Samyang Foods use Palantir systems.

Palantir signed a contract with the U.S. Army last month worth up to $10 billion (W13.8 trillion) over the next decade, making it one of the largest Pentagon software contracts in U.S. history.

Palantir’s stock price more than doubled from 75.63 dollars (105,000 won) at the end of last year to 164 dollars (227,000 won) as of the 12th.

In the second quarter of this year, it exceeded $1 billion in sales for the first time ever and posted a net profit of $0.16 per share.



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Amazon, Microsoft, Alphabet, and Meta Just Delivered Half a Trillion Dollars Worth of Great News for Nvidia Investors

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Big tech is expected to spend nearly $500 billion on artificial intelligence infrastructure next year.

Over the past few years, many corporate budgets have been reoriented toward artificial intelligence (AI) investments. Nowhere is this shift more evident than among the cloud hyperscalers — Microsoft, Alphabet, and Amazon — as well as other tech titans like Meta Platforms and Oracle.

In just this year alone, Meta committed $14.3 billion to Scale AI and launched a new research hub, Meta Superintelligence Labs (MSL). It also signed a six-year, $10 billion agreement with Google Cloud. Meanwhile, Microsoft just struck a $17.4 billion deal with Nebius, a rising neocloud specialist.

At the center of this unprecedented wave of AI infrastructure spending stands one clear beneficiary: Nvidia (NVDA 0.43%). Whether directly or indirectly, the graphics processing unit (GPU) powerhouse is capturing a significant chunk of the money being spent on AI infrastructure.

Let’s explore how big tech is reshaping the AI landscape — and why these secular tailwinds point to further significant upside for Nvidia.

AI infrastructure spending has accelerated since the launch of ChatGPT

The launch of ChatGPT in November 2022 ignited an unprecedented AI arms race among the world’s largest companies. What’s important to recognize is that their capital expenditures in this battle are not plateauing — they’re accelerating.

AMZN Capital Expenditures (TTM) data by YCharts.

Data from Goldman Sachs underscores just how dramatic these dynamics have become. In 2021, Alphabet, Meta, Amazon, and Microsoft collectively had capex of about $100 billion. By next year, Wall Street expects that figure to approach nearly $500 billion.

What does this mean for Nvidia?

Training and deploying large language models (LLMs) and building generative AI applications demands extraordinary amounts of computing power. GPUs are parallel processors, which makes them some of the best chips available to provide the type of computing power AI workloads require. Today, Nvidia commands a more than 90% share of the GPU market, giving it a dominant position within the AI supply chain.

A significant portion of the AI capex surge is flowing directly into GPUs and the supporting data center equipment necessary to maximize their performance.

This dynamic places Nvidia in a uniquely enviable position as the backbone of modern AI development — and it’s poised to capture incremental budget allocations as hyperscalers and other data center operators race to secure its next-generation chips the moment they become available.

Piles of $100 bills.

Image source: Getty Images.

Is Nvidia stock a buy?

The magnitude of hyperscaler infrastructure investment reflects more than the world’s apparently insatiable appetite for AI computing power. It underscores a deeper reality: AI is becoming the central growth engine for these companies, and securing access to the most advanced chips has shifted from being a matter of technological advantage to being a matter of competitive survival.

The accelerating pace of this spending suggests that corporations are still in the early stages of implementing their AI playbooks. Far from being a speculative bubble, this wave of infrastructure investment is the result of deliberate, long-term strategic planning by some of the world’s most influential companies as they pivot away from their traditional priorities and take on sophisticated projects in robotics, autonomous systems, cybersecurity, and more.

For Nvidia, this dynamic should translate into sustained pricing power for its wares, durable recurring demand, and a multiyear runway for rapid growth. Its GPUs and CUDA software platform have become the gold standard for enterprise AI tech stacks.

NVDA PE Ratio (Forward) Chart

NVDA PE Ratio (Forward) data by YCharts.

Taken together, these tailwinds suggest that Nvidia could experience meaningful valuation expansion from here. As the infrastructure chapter of the AI narrative continues to unfold, Nvidia appears well positioned to remain as a core enabler of big tech’s transformation.

For these reasons, I see Nvidia stock as a no-brainer investment, and view it as one of the most compelling buy-and-hold opportunities in the market.

Adam Spatacco has positions in Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, Goldman Sachs Group, Meta Platforms, Microsoft, Nvidia, and Oracle. The Motley Fool recommends Nebius Group and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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