Scored 233 articles from 96 feeds; 15 included in digest.
Run ID: run-1786994173203
Generated: August 17, 2026 at 03:34 PM ET
Summaries: claude-sonnet-4-6; enrichment 15/15 succeeded
| Source | Type | Included | Scored | 28d Digest Rate | 28d Avg Score | 28d Hotlist Hit | 7d Article Age | 28d Confidence |
|---|---|---|---|---|---|---|---|---|
| WSJ US Business | news | 5 | 15 | 4% | 0.12 | 1% | 8.6h | Stable |
| Tom’s Hardware | news | 3 | 17 | 15% | 0.17 | 6% | 8.4h | Stable |
| NYT front page | news | 1 | 19 | 2% | 0.04 | 1% | 5.5h | Stable |
| Bloomberg Markets | news | 1 | 16 | 4% | 0.10 | 1% | 2.9h | Stable |
| MyFT | news | 1 | 13 | 10% | 0.12 | 0% | 3.5h | Stable |
| TechCrunch | news | 1 | 12 | 11% | 0.16 | 0% | 9.1h | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 1 | 10 | 18% | 0.16 | 0% | 0.5h | Stable |
| ZD Net | news | 1 | 8 | 2% | 0.06 | 0% | 6.5h | Stable |
| Seeking Alpha News | commentary | 1 | 7 | 4% | 0.09 | 1% | 0.8h | Stable |
| Guardian | news | 0 | 25 | 1% | 0.03 | 0% | 7.4h | Stable |
| Hacker News | commentary | 0 | 25 | 4% | 0.07 | 0% | 9.1h | Stable |
| Reddit AntiAI | news | 0 | 18 | 5% | 0.08 | 1% | 6.9h | Stable |
| The Verge | news | 0 | 10 | 4% | 0.10 | 1% | 9.4h | Stable |
| Medium AI (keyword) | commentary | 0 | 9 | 15% | 0.15 | 0% | 0.6h | Stable |
| Futurism | news | 0 | 5 | 10% | 0.15 | 3% | 7.4h | Stable |
| Ars Technical All News | news | 0 | 4 | 7% | 0.11 | 1% | 9.5h | Stable |
| WSJ Social Economy | news | 0 | 4 | 3% | 0.10 | 0% | 5.2h | Stable |
| WSJ Tech | news | 0 | 4 | 19% | 0.23 | 3% | 7.6h | Stable |
| FT Alphaville | news | 0 | 3 | ~3% | ~0.11 | ~0% | 2.8h | Low sample |
| MIT Research General | research | 0 | 3 | Collecting data | Collecting data | Collecting data | 6.0h | Collecting |
| Ars Technica All Features | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.4h | Collecting |
| Economist: Asia | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.5h | Collecting |
| Economist: China | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.0h | Collecting |
| Economist: Finance & Economics | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 11.0h | Collecting |
| El Reg Offbeat | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.3h | Collecting |
| Venture Beat | commentary | 0 | 1 | ~66% | ~0.49 | ~0% | 8.1h | Low sample |
| IEEE AI | research | 0 | 0 | Collecting data | Collecting data | Collecting data | 6.7h | Collecting |
Source: WSJ US Business
Type: news
Included: 5
Scored: 15
28d Digest Rate: 4%
28d Avg Score: 0.12
28d Hotlist Hit: 1%
7d Article Age: 8.6h
28d Confidence: Stable
Source: Tom’s Hardware
Type: news
Included: 3
Scored: 17
28d Digest Rate: 15%
28d Avg Score: 0.17
28d Hotlist Hit: 6%
7d Article Age: 8.4h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 1
Scored: 19
28d Digest Rate: 2%
28d Avg Score: 0.04
28d Hotlist Hit: 1%
7d Article Age: 5.5h
28d Confidence: Stable
Source: Bloomberg Markets
Type: news
Included: 1
Scored: 16
28d Digest Rate: 4%
28d Avg Score: 0.10
28d Hotlist Hit: 1%
7d Article Age: 2.9h
28d Confidence: Stable
Source: MyFT
Type: news
Included: 1
Scored: 13
28d Digest Rate: 10%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 3.5h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 1
Scored: 12
28d Digest Rate: 11%
28d Avg Score: 0.16
28d Hotlist Hit: 0%
7d Article Age: 9.1h
28d Confidence: Stable
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 1
Scored: 10
28d Digest Rate: 18%
28d Avg Score: 0.16
28d Hotlist Hit: 0%
7d Article Age: 0.5h
28d Confidence: Stable
Source: ZD Net
Type: news
Included: 1
Scored: 8
28d Digest Rate: 2%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 6.5h
28d Confidence: Stable
Source: Seeking Alpha News
Type: commentary
Included: 1
Scored: 7
28d Digest Rate: 4%
28d Avg Score: 0.09
28d Hotlist Hit: 1%
7d Article Age: 0.8h
28d Confidence: Stable
Source: Guardian
Type: news
Included: 0
Scored: 25
28d Digest Rate: 1%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 7.4h
28d Confidence: Stable
Source: Hacker News
Type: commentary
Included: 0
Scored: 25
28d Digest Rate: 4%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 9.1h
28d Confidence: Stable
Source: Reddit AntiAI
Type: news
Included: 0
Scored: 18
28d Digest Rate: 5%
28d Avg Score: 0.08
28d Hotlist Hit: 1%
7d Article Age: 6.9h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 0
Scored: 10
28d Digest Rate: 4%
28d Avg Score: 0.10
28d Hotlist Hit: 1%
7d Article Age: 9.4h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 0
Scored: 9
28d Digest Rate: 15%
28d Avg Score: 0.15
28d Hotlist Hit: 0%
7d Article Age: 0.6h
28d Confidence: Stable
Source: Futurism
Type: news
Included: 0
Scored: 5
28d Digest Rate: 10%
28d Avg Score: 0.15
28d Hotlist Hit: 3%
7d Article Age: 7.4h
28d Confidence: Stable
Source: Ars Technical All News
Type: news
Included: 0
Scored: 4
28d Digest Rate: 7%
28d Avg Score: 0.11
28d Hotlist Hit: 1%
7d Article Age: 9.5h
28d Confidence: Stable
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 4
28d Digest Rate: 3%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 5.2h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 0
Scored: 4
28d Digest Rate: 19%
28d Avg Score: 0.23
28d Hotlist Hit: 3%
7d Article Age: 7.6h
28d Confidence: Stable
Source: FT Alphaville
Type: news
Included: 0
Scored: 3
28d Digest Rate: ~3%
28d Avg Score: ~0.11
28d Hotlist Hit: ~0%
7d Article Age: 2.8h
28d Confidence: Low sample
Source: MIT Research General
Type: research
Included: 0
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.0h
28d Confidence: Collecting
Source: Ars Technica All Features
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.4h
28d Confidence: Collecting
Source: Economist: Asia
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 10.5h
28d Confidence: Collecting
Source: Economist: China
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 9.0h
28d Confidence: Collecting
Source: Economist: Finance & Economics
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 11.0h
28d Confidence: Collecting
Source: El Reg Offbeat
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 10.3h
28d Confidence: Collecting
Source: Venture Beat
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: ~66%
28d Avg Score: ~0.49
28d Hotlist Hit: ~0%
7d Article Age: 8.1h
28d Confidence: Low sample
Source: IEEE AI
Type: research
Included: 0
Scored: 0
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.7h
28d Confidence: Collecting
Nvidia plans to back a data center in Ohio with an investment of up to $105 billion, according to the article. The facility, which could cost as much as $500 billion in total, is described as one of the world's largest and will be leased by OpenAI.
Keywords: Nvidia, data center investment, OpenAI, capital expenditure, AI infrastructure, Ohio
OpenAI has finalized a lease for a large data center in Ohio, backed by Nvidia, according to the Wall Street Journal. The agreement was reached with SB Energy, a unit of SoftBank, following several weeks of negotiations. The outlet describes it as the largest data-center project announced to date.
Keywords: OpenAI, data center, infrastructure investment, Nvidia, SoftBank, AI capex
Nvidia has announced a $1.5 billion investment in SB Energy, a data center and power developer backed by SoftBank and OpenAI. As part of the deal, Nvidia will serve as the sole compute infrastructure supplier for OpenAI's Ports-Pike data center near Cincinnati, Ohio, and will provide up to $105 billion in credit to help build the facility. The data center could scale from an initial 4.25 gigawatts to 8 gigawatts, according to SEC filings. SB Energy plans to construct a 9.2 gigawatt natural gas power plant on the site, which is located on U.S. Department of Energy land previously used for uranium enrichment for the U.S. nuclear arsenal and Navy submarines. The power plant is projected to cost $33 billion, reflecting a 66% increase in natural gas plant construction costs over the past two years, per BloombergNEF. As new natural gas power plants come online, competition with export markets could triple natural gas prices in some parts of the country.
Keywords: Nvidia, SoftBank, data center investment, OpenAI, semiconductor demand, infrastructure, capital allocation
PJM Interconnection, described as America's largest grid operator, has requested federal regulatory approval for rules that would prioritize cutting power to new large data centers — those consuming 50 megawatts or more — before households during electricity supply shortages. Under the proposed rules, data centers of that size would need to have their own on-site electricity generation capacity to avoid being subject to such shutoffs.
Keywords: electricity grid microstructure, data center energy demand, load shedding allocation, infrastructure scarcity, decentralized generation incentives, AI-driven demand shock, critical infrastructure reorganization, PJM Interconnection
According to this Seeking Alpha News article, labor's share of economic output has fallen to a record low, with the development framed in the context of a growing threat from artificial intelligence.
Keywords: labor share of income, functional income distribution, artificial intelligence displacement, capital vs. labor, automation, productivity, bargaining power
Writing on Medium, the author recounts attending a formal AI evaluation where a vendor was presenting system capabilities and the conversation shifted in a notable way, apparently centering on the term 'autonomous' and its implications for legal review. The article excerpt does not provide further detail beyond this setup.
Keywords: autonomous AI systems, legal accountability, regulatory uncertainty, AI agency, compliance frameworks, vendor governance, liability assignment
Salesforce's 2026 Agentic Enterprise Index, which analyzes aggregate usage data from its Agentforce platform across 400 businesses over five consecutive quarters and includes a survey of nearly 5,000 respondents, reports that enterprise adoption of AI agents has accelerated sharply. The average number of AI agents per organization grew from five in February 2025 to thirteen by April 2026, while the time required to create a new agent fell 53%, from four days to 1.9 days. Weekly employee sessions with AI agents tripled year-over-year, averaging roughly eight sessions per week. Agents are also handling more complex tasks: the average number of unique actions per agent doubled from two to four, with retail agents averaging as many as nine unique actions. Salesforce recorded 734 million Agentic Work Units (AWUs) consumed in April 2026, reflecting a 15% month-over-month increase. The share of cross-functional or secondary agent roles grew from 1% to 6% over the past year. On the customer service side, the report states that 70% of customer service sessions are now handled autonomously, compared to zero in early 2024, and that over 5 million conversations on Salesforce's help site were managed by AI agents versus 2.4 million by humans. Retail and travel industries led adoption, with retail AWU consumption growing 18-fold and travel 7-fold during the November 2025–January 2026 period. The public sector saw 227-fold growth and financial services 13-fold. The report also cites a fourfold increase in sales when shopper agents are present and notes that 77% of shoppers reported greater confidence after interacting with agents.
Keywords: AI agents, business adoption, return on investment (ROI), Agentic Enterprise, industry strategies, autonomous economic participants
The article, titled 'Behind Peace Talks, Iran Hard-Liners Prepare for a Longer, Costlier U.S. War,' is published by the Wall Street Journal. The supplied article text does not contain the body of this piece; it only references two other topics mentioned in passing: an examination of why Big Tech's AI spending may be higher than it appears, and an account of how Burger King overtook Wendy's. No further detail about the Iran-focused article is available from the provided text.
Keywords: Big Tech, AI capital expenditure, investment spending, productivity, macro-economic impact, financing mechanisms
The Wall Street Journal reports that generative AI is causing significant disruption in the book publishing industry. According to the article, high-profile deal collapses tied to suspected AI use are forcing the industry to confront broader questions about creativity, trust, and its long-term future.
Keywords: AI-generated content, book publishing, contract disputes, authenticity, creative industries, trust, manuscript screening
Alibaba has agreed to sell its game development unit, Lingxi Games, to Asian private equity firm Trustar Capital for at least $1.5 billion, according to an internal staff memo. Lingxi Games is known for developing Three Kingdoms: Strategy Edition. The sale is part of Alibaba's efforts to fund its artificial intelligence buildout, with the company divesting its entire stake in the studio.
Keywords: capital reallocation, AI infrastructure investment, tech company divestment, corporate restructuring, strategic pivot, Alibaba, gaming exit
US investment-grade bond sales set a record for August, marking the third consecutive monthly record, according to Bloomberg Markets. The article attributes the elevated pace of corporate borrowing partly to spending related to the artificial intelligence buildout.
Keywords: investment-grade bonds, bond issuance, AI infrastructure spending, corporate borrowing, capital allocation, artificial intelligence buildout
A Wall Street Journal report covers warehouse operators accelerating automation adoption. The article also includes items on a clash between GM and Ford over tariffs and trade policies, and a Chinese carrier opening an Arctic shipping route. Full article text was not available beyond these headlines.
Keywords: warehouse automation, labor market adaptation, operational efficiency, trade policy, Arctic shipping, tariffs
According to Tom's Hardware, RAM prices have reached record highs, with analysis of historical price data showing increases of up to 500% over 12 months and prices as high as 10 times the lowest levels ever tracked. The outlet reports that 128GB of DDR5 memory now costs $3,399, attributing the surge to an ongoing memory market crisis.
Keywords: memory prices, RAM, DDR5, semiconductor supply crisis, commodity price shock, AI infrastructure costs
Nvidia has pledged $100 billion to back an OpenAI data centre in Ohio, according to the Financial Times. The chipmaker has also made a separate $1.5 billion investment into SB Energy, an energy company founded as part of SoftBank Group.
Keywords: Nvidia, OpenAI, data center investment, AI infrastructure, SoftBank, energy investment, circular investment, capital allocation
The article reports that warehouses are increasingly adopting robotic automation, driven by rising labor costs and growing demands for fast delivery, which are pushing companies to invest in automated fulfillment operations.
Keywords: warehouse automation, labor costs, robotics, fulfillment, operational efficiency, delivery speed, labor displacement