šŸ’„ Trump fires copyright chief over AI

HOW: OpenAI is Enterprise's 1st choice

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Monday’s AI Report

• 1. šŸ’„ Trump fires copyright chief over AI
• 2. šŸ‘€ Invest in Ryse: The company redefining smart shade automation
• 3. šŸ¢ OpenAI is Enterprise’s 1st choice
• 4. šŸ¤ OpenAI and Microsoft re-negotiate
• 5. šŸ’¼ Become an AI consultant with Innovating with AI
• 6. āš™ļø Trending AI Tools
• 7. šŸ—ļø Practical AI Applications
• 8. šŸ“‘ Recommended Resources

Read Time: 5 minutes

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Trump fires copyright chief over AI

🚨 Our Report 

The Trump administration has fired the USA’s top copyright official, Shira Perlmutter, after her office released a report that gave its opinion on the fair use of AI training data that includes copyrighted material.

šŸ”“ Key Points

  • Perlmutter, who has led the US Copyright Office since 2020, was reportedly fired over email, and her termination comes just days after Carla Hayden, who originally appointed her, was also fired by Trump.

  • Perlmutter’s fatal report examined whether tech companies should be allowed to use copyrighted materials to train their AI models, and then compete in the same market as the human work they were trained on.

  • Concluding that they shouldn’t: ā€œmaking commercial use of copyrighted works to produce content that competes in existing markets, especially if accomplished through illegal access, goes beyond fair use boundaries.ā€

šŸ” Relevance 

Perlmutter’s firing comes just days after she reportedly ā€œrefused to rubber-stamp Elon Musk’s efforts to mine troves of copyrighted works to train AI models,ā€ and Musk (himself, a founder of an AI startup) declared that intellectual property laws should be abolished. The democratic party has since blasted the Trump administration for the firing, calling it an ā€œunprecedented power grab with no legal basis.ā€

This smart home tech grew 200% YoY…

No, it’s not Ring or Nest—meet RYSE, the company redefining smart shade automation.

With $10M+ in revenue and distribution in 127 Best Buy locations, RYSE is rapidly emerging as a top acquisition target in the booming $158B smart home industry, projected to grow 23% annually.

RYSE’s patented retrofit technology allows users to automate their window shades in minutes- controlled via smartphone or voice. With 200% YoY growth, demand is skyrocketing.

Now, RYSE’s public offering is live at just $1.90/share, and you can get up to 25% in additional shares.

🚨 Our Report

According to an AI Index report, made by data analytics firm Ramp (which specializes in analyzing corporate spending data), OpenAI is significantly beating its rivals when it comes to securing enterprise customer subscriptions.

šŸ”“ Key Points

  • According to their report (which estimates the business adoption rate of AI products), in April, 32.4% of US businesses were paying for an OpenAI subscription, which is up by 28% from March.

  • In comparison, just 8% of businesses had a subscription for Anthropic (although this was an increase from 4.6% in January), and Google saw a decline in subscriptions from 2.3% in February to just 0.1% in April.

  • Although this study isn’t 100% accurate—it looks at corporate spending from just 30,000 companies across the US—it does suggest that ā€œbusiness adoption of OpenAI is growing faster than competitor companies.ā€

šŸ” Relevance

These findings back-up OpenAI’s internal reports, which showed that last month it had over 2M business users (double the amount from September), and Enterprise spending will make it $12.7B in revenue this year, and $29.4B by 2026 (even though they don’t expect to be cashflow positive until 2029).

  • According to insiders, OpenAI is currently in ā€œtough negotiationsā€ with Microsoft, one of its biggest, long-term partners, which could allow OpenAI to go public and give Microsoft access to its newest models.

  • Microsoft is reportedly willing to give up some of its equity in the company in exchange for access to OpenAI’s newly developed AI models, after its original contract ends in 2030.

  • These re-negotiations come as OpenAI, which was planning to restructure to a for-profit company, but after pressure from Musk and others within the industry, is now retaining its non-profit structure.

🧰 The Tools, Templates & Playbook for Your AI Consultancy

The AI consulting market is about to grow by a factor of 8X – from $6.9B to $54.7B in 2032.

But how does an AI enthusiast become an AI consultant?

How well you answer that question makes the difference between just ā€œhaving AI ideasā€ and being handsomely compensated for your contribution to an organization’s AI transformation. 

Thankfully, you don’t have to go it alone – our friends at Innovating with AI have welcomed 700 new students into The AI Consultancy Project, their new program that trains you to build a business as an AI consultant.

Some of the highlights current students are excited about:

  • The tools and frameworks to find clients and deliver top-notch services

  • A 6-month plan to build a 6-figure AI consulting business

  • Students getting their first AI client in as little as 3 days

And as a reader of The AI Report, you get early access to the next enrollment cycle.

Prompt Inspiration

After typing this prompt, you will get ideas on how you can improve your current interview screening process to help you filter out the wrong candidates and target the right ones.

Help me analyze our current interview screening process and identify areas for improvement.

P.S. Use the Prompt Engineer GPT by The AI Report to 10x your prompts.

STARTUPS

Name: Read AI
Value: $450M
Funding raised: $31M (Series A)

Read AI measures the engagement of online meeting attendees with AI, NLP, and computer vision technology. It functions as a real-time dashboard with detailed insights like attendee engagement scores, talk time of each participant, and live sentiment analysis.

PODCASTS

Navigating Data Security with AI

In this podcast episode—Dimitri Sirota, Co-founder and CEO of BigID—discusses how AI is reshaping enterprise data governance, security, and compliance and outlines the three major forces driving current enterprise data challenges: accelerated cloud migration, global data privacy regulations, and the explosion of AI tools that rely on sensitive, unstructured data.

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