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‘No AI For Judgments’: Kerala HC Bans Use Of ChatGPT-Like Artificial Intelligence Tools With New Policy

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In a historic first in the Indian judiciary, the Kerala High Court has come up with a policy to curb the rampant (mis)use of AI in legal reasoning and decision-making.

In the ‘Policy Regarding Use of Artificial Intelligence Tools in District Judiciary,‘ the Kerala HC advises extreme caution in the indiscriminate use of ChatGPT-like AI tools. Per the HC, some of the negative consequences of AI include “violation of privacy rights, data security risks, and erosion of trust in the judicial decision-making.”

The policy document issued on Jul 19, states the objective of the move is to ensure that “AI tools are used only in a responsible manner, solely as an assistive tool, and strictly for specifically allowed purposes.“ It further adds, “The policy aims to ensure that under no circumstances AI tools are used as a substitute for decision-making or legal reasoning.”

The Kerala HC also warns in the policy that “Any violation of this policy may result in disciplinary action, and rules pertaining to disciplinary proceedings shall prevail.

Following AI tools have been cited in the guidelines, including (but not limited to) ChatGPT, Gemini, DeepSeek, and Copilot. Besides the widely used generative AI tools, the policy document also covers “databases that use AI to provide access to diverse resources, including case laws and statutes.”

The policy further warns

“AI tools shall not be used to arrive at any findings, reliefs, orders, or judgments under any circumstances, as the responsibility for the content and integrity of the judicial order, judgment, or any part thereof lies fully with the judges.”

In a first, Kerala High Court issues policy for use of AI by judges; says no AI for judgments

report by @GitiPratap https://t.co/anYJZwaWUU

— Bar and Bench (@barandbench) July 19, 2025

See Also: Mike Lindell’s Attorney Slapped With $3000 For Submitting 30 Defective AI-Generated Citations In Court

See Also: 120 Court Cases Have Been Caught With AI Hallucinations, According To New Database

#BREAKING |The Kerala High Court has issued a policy on the use of AI tools by judges, stating clearly that no AI shall be used to arrive at judgments@ArpithaAja10359 shares more details witb @MeenakshiUpreti pic.twitter.com/BSeG9EYH2V

— TIMES NOW (@TimesNow) July 20, 2025

Kerala High Court framed a ‘Policy Regarding Use of Artificial Intelligence Tools in District Judiciary’.

Advocate @subihrishikeah has shared a copy of it in his LinkedIn page: pic.twitter.com/VBuUKGdApo

— CiteCase 🇮🇳 (@CiteCase) July 20, 2025

Kerala High Court has directed the courts not to use Artificial Intelligence (AI) tools to issue orders. The High Court has issued special guidelines in this regard for judicial officers and others. The High Court has directed that cloud-based AI tools like ChatGPT should not be… pic.twitter.com/0XUUqDHqYf

— ANI (@ANI) July 20, 2025

See Also: Microsoft Casually Layoffs Several From Its Legal Amid Push For AI; Team Internet Jibes ‘Time To Learn Carpentry’

See Also: ‘Are You Real?’ Supreme Court Justice Asks Lawyer During Virtual Hearing After AI Advocate Crashes NY Court Case

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CFOs Triple Down on Gen AI ROI, Fueling Chip-to-Server Surge

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Multiple industries including cloud, chips, data storage, semiconductor manufacturing, data centers and servers are seeing revenue gains from artificial intelligence (AI), cementing its role as an economic driver.

The main catalyst is increasing enterprise adoption of AI. A 2025 PYMNTS Intelligence report shows that 9 in 10 chief financial officers (CFOs) see “very positive ROI” from generative AI. That’s up substantially from 26.7% in March 2024.

“With gen AI yielding such strong results, CFOs are utilizing the technology in more areas of their businesses,” the report said. These include using the technology for high-, medium- and low-impact tasks.

Cloud providers are some of the clearest beneficiaries of this demand. According to Statista, cloud infrastructure service revenues are expected to exceed $400 billion for the first time. Cloud market has re-accelerated in recent quarters, mainly due to the AI boom, the research firm said.

Consider the following:

  • CoreWeave, as a purely AI cloud provider, posted Q2 revenue that more than tripled to a record $1.21 billion from $395 million a year earlier. It’s a reflection of accelerating demand for its GPU‑powered AI cloud services, though soaring operating expenses led to a net loss.
  • Microsoft recorded a 39% year‑over‑year gain in Azure and other cloud services revenue in its fiscal fourth quarter. Its Intelligent Cloud segment posted $29.9 billion in revenue, up 26%. For the year, Azure surpassed $75 billion in revenue, up 34% largely due to AI workloads.
  • Google Cloud saw Q2 revenue rise by 32% to $13.6 billion compared to the prior year. Operating income for cloud soared 133% to $2.8 billion. Alphabet CEO Sundar Pichai said the company raised its capex to $85 billion in 2025 due to “strong and growing demand” for cloud services.
  • AWS posted $30.9 billion in cloud revenue in Q2, up 17% from a year ago. Operating income rose 10% to $10.2 billion. Its backlog grew to $195 billion, up 25% year‑over‑year, prompting CEO Andy Jassy to caution that capacity constraints may limit near‑term growth.

Semiconductor companies supplying GPUs and networking chips to hyperscalers are seeing explosive gains. Nvidia, the most valuable company in the world and whose chips command the lion’s share in powering AI workloads, reported record data center revenue of $39.1 billion in its fiscal Q1, up 73% from a year ago.

AMD’s Q2 revenue rose by 32% year over year to $7.7 billion, with its data center segment taking up $3.2 billion of the total, up 14% from a year ago due to “strong demand” for its EPYC processors and growing interest in AI platforms. Net income rose by 229% year over year.

Read more: The CAIO Report: Since March, Triple the CFOs Report Very Positive ROI from GenAI

‘Unprecedented’ AI Demand Boosts Related Industries

In data storage, Snowflake, the cloud data warehouse platform, crossed the $1 billion revenue quarterly mark in May for the first time due to the rising tide of artificial intelligence workloads. The company just earned an upgrade from BofA due to strong customer demand tied to AI investments.

Databricks, Snowflake’s rival, is also in high gear. The company said it is raising funds that would value it at $100 billion. It plans to use the funds to accelerate its AI strategy as well as for future AI acquisitions and deepen AI research. Databricks CEO Ali Ghodsi said there is “tremendous interest because of the momentum behind our AI products.”

In servers, Dell has emerged as a standout beneficiary of AI-fueled demand. Its Q1 fiscal 2026 Infrastructure Solutions Group — which includes servers and networking — posted record revenue of $6.3 billion. In the quarter, Dell generated $12.1 billion in AI orders, which surpassed all of fiscal 2025 combined. COO Jeff Clarke described the surge in demand as “unprecedented.”

In semiconductor manufacturing, Taiwan’s Foxconn said for the first time, revenue from servers and cloud infrastructure overtook smartphone assembly. Cloud and networking products now account for 41% of its total revenue in Q2, according to the Financial Times. Foxconn expects AI server revenue to increase by 170% year over year in Q3. CEO Kathy Yang cited “very strong demand” for AI servers for the robust gains.

Among data center operators, Digital Realty saw a 10% increase in revenue to $1.49 billion in Q2, outpacing its historical growth rate. The company raised its full year revenue guidance to $5.93 billion, up from $5.83 billion. Management cited AI-driven digital transformation and cloud growth as catalysts for top line growth.

Privately held Vantage Data Centers last week announced a $25 billion investment in West Texas to build a “mega-scale” 1.4GW data center campus in Shackelford County. Called “Frontier,” the campus will boast 10 data centers totaling 3.7 million square feet. The company called customer demand for AI data centers “unprecedented.”

Read more:

Databricks Projects $1 Billion in Revenue From Data Warehouse Business

Amazon Eliminates Hundreds of Cloud Computing Jobs

Why Does Google Want Multi-Cloud Security Platform Wiz So Badly?



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South Korea to move decisively in adopting AI in defense operations | MLex

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By Choonsik Yoo ( September 1, 2025, 07:26 GMT | Insight) — South Korea’s defense ministry is shifting from research and preparation to actively adopting AI technologies, with a comprehensive defense AI policy paper planned by early 2026, a ministry official told MLex. The move reflects President Lee Jae Myung’s pledge to make use of AI across the country the main driver of economic recovery. Initial applications will focus on administration, manpower management and surveillance systems, while large-scale combat uses are expected to take longer due to technological challenges.

South Korea’s defense ministry plans to begin adopting artificial intelligence technology as broadly as possible, moving away from its previous strategy of focusing primarily on study and preparation, and acknowledging the sustained proliferation of AI across industries and countries….

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While the generative artificial intelligence (AI) craze is approaching its peak, promises that “AI w..

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Builder AI launches liquidation process in Delaware after controversy over sales overestimation, Nate founder’s federal indictment, GameOn false data, etc

[Picture = Gemini]

While the generative artificial intelligence (AI) craze is approaching its peak, promises that “AI will do everything on its own” are collapsing throughout Silicon Valley. The bankruptcy of Builder AI, which was revered as a unicorn, is a symbolic event.

According to the New York Times on the 31st (local time), Builder AI has launched a massive promotion with high growth in 2024, but a board investigation has confirmed overstatement of sales. After management changes and a liquidity crisis, the company entered liquidation proceedings in Delaware courts in the first half of 2025. As suspicions spread that “people took care of it from behind” over the reality of AI manager Natasha, who said he would automatically make the app, management explained, “AI was an auxiliary tool and did not replace people,” but failed to restore trust.

The incident shows how easily verification of the actual level of automation of technology and financial numbers can be pushed back while the label ‘AI’ draws the attention of investment and media.

Similar scenes were repeated on other stages. The shopping app “Nate” promoted that “Deep Learning replaces payment and checkout,” but allegations arose that the Philippine outsourcing staff handled the order manually. Eventually, the Southern New York Federal Prosecutor’s Office (SDNY) charged its founder with investor fraud in the spring of 2025.

San Francisco startup “Game On” put forward an AI sports chatbot, but was indicted on false financial data, fake audit reports, and allegations of inflated sales. What these events have in common is that they promoted “AI-washing,” that is, processes that are largely performed by humans or low automation maturity, as if they were “completely automatic.”

‘AI done by humans’ is not small in the field of large corporations. Amazon’s “Just Walk Out” was a concept that sensors and computer vision handled automatic payments, but reports continued that personnel identified and inspected transactions in actual operations. Amazon denied the controversy over the exaggeration, but adjusted its store strategy to focus on smart carts.

Presto Automation, which introduced a fast-food drive-through automatic response solution, was also found to have processed a significant percentage of orders at a certain time. Legal technology start-up advocated automating personal injury case documents, but when internal testimony was reported that many of the actual tasks depend on human inspection, the company emphasized that “the combination of AI and humans is essential for high quality.”

“The fall of Builder AI clearly shows what to believe and what to doubt in the current AI boom,” the New York Times said. “As it is said that AI is sold, but automation is not, the gap between the actual level of technology and market expectations is still large.”



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