Anthropic unveils Claude tools as ChatGPT incurs $517M energy costs

ServiceNow is significantly restructuring its approach to artificial intelligence, aiming to make AI adoption more accessible and cost-effective for businesses. Starting April 9, the company will offer its products in three distinct tiers—Foundation, Advanced, and Prime—each bundling various AI capabilities that were previously sold separately. This move is designed to simplify AI pricing and provide a clearer path for companies to integrate AI into their operations, regardless of their current AI maturity level.

Beyond pricing, ServiceNow is embedding AI across its entire product suite, transitioning to an "AI-native architecture" where automation is built into all services. This includes integrating core components like AI Control Tower and Workflow Data Fabric. A new Context Engine will connect fragmented applications, providing AI agents with a comprehensive understanding of business operations. The company is also expanding its developer ecosystem and launching an Enterprise Service Management Foundation to support small and medium-sized businesses in leveraging AI agents.

In other AI developments, the energy consumption of large language models is drawing attention. A recent study estimates that ChatGPT queries in the U.S. alone incur over $517 million annually in electricity costs. This translates to 60.68 million kilowatt-hours of energy consumed daily in the U.S., a figure comparable to the monthly usage of nearly 2 million Texas homes. The U.S. accounts for over 17% of ChatGPT's global visitors, with approximately 1.2 billion visits each month.

Meanwhile, the ethical implications and practical applications of AI continue to evolve. Yale students recently attended a workshop demonstrating Anthropic's AI tools, Claude Code and Claude Cowork, which can perform tasks like coding games, generating presentations, and building websites without requiring programming knowledge. Attendees received six months of free Claude Pro. On the corporate front, Meta recently shut down an unofficial internal dashboard that allowed employees to compete based on their AI token usage, a practice some called "tokenmaxxing."

The use of AI is also expanding into specialized sectors. TriNetX is leveraging Databricks' AI platform to analyze vast real-world health data, aiming to accelerate drug development and reduce the substantial costs and delays associated with clinical trials. This collaboration helps pharmaceutical companies access actionable insights from nearly 300 million patient records, leading to improved trial efficiency. However, a cautionary note emerges regarding AI training: using AI-generated content to train new models can degrade performance, dilute original human insight, and lead to irreversible accuracy loss, amplifying biases and factual errors.

Finally, the educational landscape is rapidly adapting to AI's growing importance. Fairfield Dolan is launching a new Master of Science program in AI and Business Analytics, which is STEM-designated and includes courses on AI ethics and generative AI. Muhlenberg College has also introduced an online Bachelor of Arts degree in applied artificial intelligence, focusing on responsible AI development. These programs, along with a new AI career curriculum at a local university, aim to equip students with essential AI literacy for the evolving job market. The rise of faith-based AI tools, such as the AI Jesus chatbot offered by Just Like Me for $1.99 per minute, is also sparking widespread debate about technology's role in spiritual guidance and the need for ethical considerations like transparency and accuracy.

Key Takeaways

  • ServiceNow is simplifying AI pricing with new Foundation, Advanced, and Prime tiers, effective April 9, bundling AI capabilities.
  • ServiceNow is integrating AI across its entire product suite, moving to an "AI-native architecture" with a new Context Engine to connect fragmented applications.
  • ChatGPT queries in the U.S. cost over $517 million annually in electricity, consuming 60.68 million kilowatt-hours daily.
  • Yale students received free Claude Pro after attending a workshop on Anthropic's AI tools, Claude Code and Claude Cowork, which perform tasks without programming.
  • Meta shut down an unofficial internal dashboard that tracked employee AI token usage, a practice some referred to as "tokenmaxxing."
  • TriNetX is using Databricks' AI platform to analyze health data, aiming to accelerate drug trials and reduce costs by leveraging data from nearly 300 million patients.
  • Training AI models on AI-generated content can degrade performance, dilute human insight, amplify biases, and lead to irreversible accuracy loss.
  • New academic programs, including Fairfield Dolan's MS in AI and Business Analytics and Muhlenberg College's online BA in applied AI, are being launched to address AI literacy and ethical development.
  • Faith-based AI tools, like the AI Jesus chatbot from Just Like Me ($1.99/minute), are sparking debate on the ethical implications and role of AI in spiritual guidance.

ServiceNow simplifies AI pricing for businesses

ServiceNow is changing its product pricing to make AI costs more predictable for businesses. Starting April 9, products will be offered in three tiers: Foundation, Advanced, and Prime, each including different AI capabilities. These new tiers bundle AI features that were previously sold separately. This approach aims to help companies of all AI maturity levels use AI more effectively and manage costs better. Analysts suggest this move offers a clearer path for businesses to adopt AI.

ServiceNow integrates AI across all products for better automation

ServiceNow announced it has "AI-enabled" its entire product suite to improve automation for businesses. The company aims to move beyond basic AI tools towards an "AI-native architecture" where all systems have built-in AI capabilities. This includes integrating AI Control Tower and Workflow Data Fabric as core components. A new offering called Context Engine will connect fragmented applications to provide AI agents with better business context. ServiceNow is also launching tools for developers and a foundation for small and medium-sized businesses to use AI agents.

ServiceNow builds AI agents into its entire product line

ServiceNow is restructuring its products around AI agents, creating an 'AI-native architecture' where automation is embedded in all services. The company notes that many businesses struggle with AI adoption due to fragmented applications and data silos, leading to failed automation attempts. To address this, ServiceNow is introducing a 'Context Engine' to connect various applications and provide AI agents with a comprehensive understanding of business operations. The company is also expanding its developer ecosystem and launching 'Enterprise Service Management Foundation' for smaller businesses.

AI Jesus chatbot sparks debate on faith's future

A company called Just Like Me is offering video calls with an AI-generated avatar of Jesus for $1.99 per minute, providing prayers and encouragement. This service, along with other faith-based AI tools, is sparking discussions about how technology might change religious practices. Experts like software engineer Cameron Pak have set criteria for ethical AI in faith, emphasizing transparency and accuracy. The rise of these AI religious figures raises profound questions about faith, authority, and the role of AI in spiritual guidance.

Faith chatbots like AI Jesus and Buddha raise questions

The market for faith-based AI applications is growing, with chatbots imitating religious figures like Jesus and Buddha. Companies like Just Like Me offer AI Jesus video calls for $1.99 per minute, providing spiritual comfort. This trend prompts reflection on how AI influences relationships with faith and spiritual guidance. While some see AI as a helpful tool for exploring scripture, others raise concerns about misinformation and the ethical implications of AI in religious practices. Discussions are ongoing across various faiths about the appropriate role of AI.

Fairfield Dolan launches new MS in AI and Business Analytics

Fairfield Dolan is launching a new Master of Science program in AI and Business Analytics, enhancing its already top-ranked business analytics curriculum. The program will include courses on AI ethics, generative AI applications, and data engineering. It is designed to equip students with essential AI literacy for today's job market, bridging technical skills with business strategy. The program is STEM-designated and will be available on campus and online, including for students in Shanghai, China.

Training AI on AI content degrades performance and raises costs

Companies are unintentionally harming their AI models by training them on AI-generated content, a process called data poisoning. This 'self-inflicted' issue dilutes original human insight and context, leading to model degradation and distorted decision-making. The accuracy loss can be irreversible and may amplify biases or lead to factual errors like hallucinated citations. Experts warn that relying on AI-generated content for training risks creating a 'copy of a copy,' ultimately impacting business outcomes and potentially leading to legal and compliance issues.

Yale students learn Anthropic AI tools in workshop

Over 100 Yale students attended a workshop demonstrating Anthropic's AI tools, Claude Code and Claude Cowork. Hosted by student groups, the event aimed to introduce non-technical students to AI's capabilities. Presenters showed how the tools could code games, generate presentations, build websites, and integrate with email and calendars. The workshop highlighted that these agentic AI tools can perform tasks on a user's computer without requiring programming knowledge. Students who attend these workshops receive six months of free Claude Pro.

Local university introduces new AI career curriculum

A local university is developing a new curriculum focused on Artificial Intelligence (AI) to help students prepare for future careers. The program aims to equip students with the necessary skills to effectively use AI in their professional lives.

Meta shuts down internal AI token usage competition

Meta has closed an internal dashboard that allowed employees to compete based on their AI token usage. The dashboard, created by an employee, tracked how many tokens each of Meta's 85,000 employees used, promoting a concept called 'tokenmaxxing.' While the company has an official dashboard for engineers, this unofficial one was shut down after its data was shared externally. Meta stated the employee took down the dashboard voluntarily. Some employees reportedly used AI agents for hours to maximize their token counts.

ChatGPT energy use in US costs over $517 million yearly

A new study estimates that ChatGPT queries in the U.S. cost over $517 million annually in electricity. The AI model consumes 60.68 million kilowatt-hours of energy per day in the U.S., equivalent to the monthly usage of nearly 2 million Texas homes. The U.S. accounts for over 17% of ChatGPT visitors, with about 1.2 billion visits monthly. The total annual energy consumption for U.S. ChatGPT users could power all electric vehicles in the country 43 times.

Muhlenberg College offers new online AI bachelor's degree

Muhlenberg College has launched an online Bachelor of Arts degree in applied artificial intelligence. This program is designed to meet the growing need for professionals who can responsibly develop and use AI across various industries. The curriculum combines technical AI principles with critical thinking about the ethical and social impacts of technology. Applications are now open, with classes starting in the fall.

TriNetX uses Databricks AI to speed up drug trials

TriNetX is accelerating drug development by using Databricks' AI platform to analyze its vast network of real-world health data. This collaboration aims to reduce the significant costs and delays in clinical trials, which can cost millions and cause lengthy delays. TriNetX's platform connects researchers to data from nearly 300 million patients. By adopting Databricks, TriNetX can offer advanced analytics and AI experiences, making data more accessible and actionable for pharmaceutical companies. This has already led to reduced protocol amendments and improved site identification rates in trials.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

ServiceNow AI pricing AI capabilities AI adoption AI-native architecture AI Control Tower Workflow Data Fabric Context Engine AI agents developer tools small and medium-sized businesses AI Jesus chatbot faith-based AI religious practices ethical AI AI ethics AI and Business Analytics generative AI data engineering AI literacy AI content data poisoning model degradation bias hallucinated citations Anthropic AI Claude Code Claude Cowork AI career curriculum AI token usage tokenmaxxing ChatGPT energy consumption applied artificial intelligence drug trials real-world health data clinical trials Databricks AI

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