Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:

🚨 AI Top Story: Generative AI is booming, but profitability remains elusive - discover the challenges and stakes shaping its future

📊 AI YouTube Resource Of The Week: Explore ChatGPT’s new task scheduling feature with our YouTube pick of the week

🎯 Killer Marketing Prompt: Prompt ChatGPT to uncover emerging trends tailored to your industry and transform them into actionable strategies for your brand.

🌟 Creator Spotlight: Learn from Denis Panjuta, a leader in AI and automation driving innovation for modern businesses

OpenAI’s AI Success Comes at a Price

The True Cost of Leading The Generative AI Revolution

Generative AI companies are riding a wave of rapid adoption, but beneath the surface lies a stark challenge: profitability. 

OpenAI, the most prominent player in the field, exemplifies this struggle. Despite boasting over 300 million weekly active users and a 70% retention rate for its $200/month Pro subscriptions, the economics don’t add up. 

According to CEO Sam Altman, OpenAI is losing money on these subscriptions as users are engaging with the platform far more than anticipated.

The crux of the problem lies in the sheer cost of running generative AI systems. Unlike traditional tech businesses that benefit from economies of scale, generative AI faces rising costs as usage grows. 

Massive investments in data centers and the electricity required to power them are driving expenses sky-high. In 2023, OpenAI lost $5 billion on $3.7 billion in revenue, a gap that highlights the uphill battle for profitability in this space.

Adding to the challenge is the commodification of generative AI. With little to differentiate products, price competition is fierce, making it difficult to command premium rates. While companies like Uber and Spotify eventually reached profitability, their operational costs pale in comparison to generative AI. For OpenAI and others, cutting costs or finding new revenue streams will be essential.

Meanwhile, tech giants like Google and Microsoft can absorb these expenses through their diversified revenue streams, but even they face pressure to justify massive AI investments. Sundar Pichai’s ambitious goal of 500 million Gemini-powered chatbot users by year-end underscores the stakes.

Generative AI’s rapid rise has all the hallmarks of an asset bubble: high investor enthusiasm, soaring usage, and unclear paths to sustainable growth. Whether this industry can transform its immense promise into long-term viability remains the billion-dollar question.

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LUMA RAY 2

Luma Labs has introduced Ray 2, its groundbreaking next-generation AI video model, designed to push the boundaries of AI-driven video creation.

Built on a powerful multimodal architecture and trained with 10x more computing power than its predecessor, Ray 2 enables the generation of stunning, lifelike video clips with exceptional motion quality and physics realism.

The platform supports text-to-video, image-to-video, and video-to-video generation, making it an extremely versatile tool for marketers. With upcoming API access and plans to integrate advanced editing tools, Ray 2 is set to become a cornerstone for high-quality AI video creation.

Key Features

Advanced Motion and Physics Realism
Ray 2 excels in rendering realistic object interactions, from fluid water physics to complex human movements, creating videos that are nearly indistinguishable from reality.

Multimodal Input Support
Generate high-quality videos using text prompts, images, or even existing video clips, offering unparalleled flexibility for creative workflows.

Extended Video Lengths
Capable of producing video clips up to 10 seconds long, with coherent, dynamic sequences suitable for storytelling, ads, and more.

Rapid Generation Time
Powered by a highly scalable transformer model, Ray 2 delivers 5–10 second video sequences efficiently, ensuring faster turnaround for projects.

TRY IT FREE

DENIS PANJUTA - Quickly find the info you need from YouTube videos with AI-powered summaries

Explore ChatGPT's New Task Scheduling Feature With MatVidProAI

Track Trends In Your Industry With ChatGPT

You are an AI assistant specializing in identifying emerging trends for [Industry Name]. Your task is to provide actionable insights into industry-specific trends that [Brand Name] can leverage for marketing, product development, and audience engagement.

Start by analyzing recent shifts in consumer behavior, highlighting changes in preferences, purchasing habits, or expectations that are relevant to [Industry Name]. 

Consider the latest competitor innovations by identifying new strategies, products, or campaigns launched by competing brands. Additionally, explore cultural movements by identifying societal, regional, or generational trends that are influencing audience behavior and decision-making.

For each trend, provide a concise summary of its significance and explain why it is relevant to [Brand Name]’s target audience and business objectives. 
Offer specific and actionable steps for leveraging the trend, such as launching a campaign, creating content, or refining a product offering. 
Tailor your recommendations to align with [Brand Name]’s tone, audience demographic, and business goals to ensure practical application.

Focus on trends from the last 6-12 months to keep the insights fresh and impactful. If no major trends are currently available for a specific category, simply state, “No major trends detected in this area today.”