Tools & Platforms

Delta responds to misinformation around AI pricing

Published

1 month ago

August 7, 2025

Delta EVP and Chief External Affairs Officer Peter Carter responds to Senators about the use of AI in Delta’s dynamic pricing model.

Delta’s EVP and Chief External Affairs Officer Peter Carter sent the following letter to U.S. Senators Ruben Gallego, Richard Blumenthal and Mark Warner in response to questions from the Senators about the use of AI in Delta’s dynamic pricing model.

July 31, 2025

Senators Gallego, Blumenthal and Warner:

Thank you for your letter dated July 21, 2025 regarding your interest in how Delta is piloting the use of artificial intelligence (AI) technology to inform our dynamic pricing model. Your letter raises a number of thoughtful questions regarding Delta’s use of AI in our approach to pricing, and we appreciate the opportunity to address your concerns.

Your letter presupposes that we are using, and intend to use, AI for “individualized” pricing or “surveillance” pricing, leveraging consumer-specific personal data, such as sensitive personal circumstances or prior purchasing activity to set individualized prices. To clarify, this is incorrect and this assumption, unfortunately, has created confusion and misinformation in the public discourse.

There is no fare product Delta has ever used, is testing or plans to use that targets customers with individualized prices based on personal data. Furthermore, we have zero tolerance for discriminatory or predatory pricing and fully comply with applicable laws in privacy, pricing and advertising. Our AI powered pricing functionality is designed to enhance our existing fare pricing processes using aggregated data. This technology is a decision-support tool that simply provides informed insights for our analysts, who oversee and fine-tune the recommendations to ensure they are consistent with our business strategy. We are deeply committed to enhancing the customer experience and continuously strive to remain the airline of choice for our customers.

To be clear, Delta’s ticket prices are dictated by market dynamics and vigorous competition. In fact, the AI pricing functionality recommends pricing adjustments in both directions to enhance market competitiveness and drive sales, benefiting both our customers and our business. Fares are publicly f iled through ATPCO multiple times daily and contain objective, publicly available fare rules that ensure all customers have access to the same fares and offers based on objective criteria provided by the customer such as origin and destination, advance purchase, length of stay, refundability, and travel experience selected. To reiterate, prices are not targeted to individual consumers. Furthermore, customers are not required to sign in on delta.com or the app to shop and compare prices. Indeed, customers can view and compare prices without providing Delta any personal information whatsoever. For more than three decades, airlines, including Delta, have used pricing systems and processes, such as optimized pricing, to adjust ticket prices regularly. Prices are influenced by a wide variety of factors, including customer demand for seats and purchasing data at an aggregated level, competitive offers and schedules, route performance, and cost of providing the service inclusive of jet fuel. Given the tens of millions of fares and hundreds of thousands of routes for sale at any given time, the use of new technology like AI promises to streamline the process by which we analyze existing data and the speed and scale at which we can respond to changing market dynamics.

As part of our culture of continuous innovation, Delta is evaluating the AI pricing recommendation functionality developed by Fetcherr in domestic and international test markets, to assist our analysts with pricing by reducing manual processes, accelerating analysis and improving time to market for pricing adjustments. We do not share any personal information with Fetcherr and as noted above, our t icket pricing never takes into account personal data. Leveraging AI to assist with pricing recommendations will enable analyst teams to be more strategic and focus on high-priority tasks. Examples of how AI technology as a decision support tool in pricing is being used and tested via our pilot with Fetcherr are identified below:

Aggregating purchasing data for specific routes and flights;
Forecasting demand for specific routes and flights;
Adapting to new market conditions;
Factoring in thousands of variables simultaneously.

In addition to supporting our revenue management analysts, we are evaluating AI to enhance these aspects of our business:

Reservations Specialists use an AI-integrated knowledge management tool to help source answers to complex questions more quickly and accurately, improving resolution times and enhance customer service by ensuring customers receive consistent, high-quality support.
Tech Ops planners are using an AI-enabled tool to better predict maintenance needs and directly improve aircraft availability and schedule reliability.
Assisting Crew Scheduling to anticipate in advance where crew replacements may be needed, allowing us to quickly plan resources and efficiently schedule crew replacements.

Delta transparently discloses in its Privacy Policy¹ how we use, store, and disclose personal information when customers interact with Delta, including when customers use the Delta.com website or Fly Delta app. In accordance with responsible AI principles, Delta provides AI Terms of Use and discloses to customers when they are interacting with AI.

As Delta continues to integrate advanced technologies across our business, we have adopted a comprehensive AI governance framework that balances operational enhancements with the highest standards of safety, security, and trust for our customers and employees. Guided by “The Way We Fly”² and our “Rules of the Road,”³ we remain committed to ethical conduct, responsibility, and innovation. This approach not only defines Delta’s culture but also ensures that every decision made— with or without AI—upholds the trust and loyalty of our customers, employees, communities, and stakeholders. Again, thank you for your interest.

Very truly yours,

Peter Carter EVP, Chief External Affairs Officer

¹Privacy and Security

²The Way We Fly

³Delta Rules of the Road

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The investment of the year and AI like fire

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September 14, 2025

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As we all know, there’s a lot of talk about AI lately. Some of it is pretty hyped-up (“it will be a disaster!” vs. “heaven is just around the corner!”), but IO+ is here to select the pearls from the rubbish. Pearl of the week is the interview Carlo van de Weijer had with the Possible Futures Podcast. Van de Weijer is basically optimistic, but with a realistic perspective. “Technology has always been the main thing that saves our future,” he argues. “Every breakthrough created new problems, but also the tools to solve them.”

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Tools & Platforms

Nano Banana AI daily limit: How many images can you generate with Google Gemini; full guide to free, Pro and Ultra access |

Published

1 hour ago

September 14, 2025

TOI Tech Desk

Google’s Gemini Nano Banana has taken the internet by storm, becoming one of the most widely discussed AI tools in 2025. Unlike traditional image generators, Nano Banana specialises in turning ordinary photos into 3D models with an impressive degree of realism. Users can create lifelike figurines, avatars, and even cinematic-style effects with just a short text prompt.The model stands out for its speed and detail retention, making it faster than most competitors while ensuring generated models don’t lose essential features. This mix of efficiency, creative flexibility, and viral appeal has driven its rapid adoption across social media.

Google updated Gemini Nano Banana Image limits; here’s why

With demand soaring, Google recently changed its policy on image generation limits. Previously, the company provided clear daily numbers—100 images per day for free users and up to 1,000 for Pro and Ultra subscribers. But as usage grew, these fixed limits were quietly removed.Instead, Google now refers to access tiers as “basic access” for free accounts and “highest access” for Pro and Ultra plans. This shift allows the company to dynamically adjust user limits depending on server capacity, subscription status, and global demand.This update indicates that free users may face more restrictions during peak hours, while paying customers will continue to enjoy smoother, prioritized access.

Free image generation on Gemini Nano Banana

Originally, free users were allowed 100 image generations per day, making Gemini Nano Banana one of the most generous free AI platforms available. For comparison, ChatGPT limits free users to just two image generations daily.With the new update, the support page now simply lists “basic access” for free accounts. While Google no longer guarantees a fixed number of images, users can still expect to generate far more than most competing free AI tools. However, during high traffic times, Google may temporarily throttle free usage to keep the platform stable.

Gemini Pro and Ultra users: What “highest access” really means

For paid subscribers, Google now describes image generation as offering “highest access.” Previously, Pro and Ultra users enjoyed a cap of 1,000 images per day, but this number is no longer publicly displayed.This change gives Google more flexibility. Instead of promising a strict daily quota, the company can adjust Pro and Ultra limits to ensure they always receive priority processing speed, minimal wait times, and higher usage availability compared to free users.For professionals, digital artists, or content creators who rely on Nano Banana daily, Pro and Ultra remain the best options for consistent, large-scale image generation.

How Google keeps AI image tools running smoothly

Google’s decision to replace clear numbers with tier-based access categories reflects a broader strategy. As AI image generation tools scale up, server demand and computing resources fluctuate constantly. By setting flexible tiers, Google can manage heavy traffic more effectively while ensuring subscribers remain satisfied.For free users, this means access may feel unpredictable at times. But for Google, it ensures the service doesn’t crash under the weight of viral trends, such as the current Nano Banana 3D figurine craze.

Gemini Nano Banana vs. competing AI tools

Despite the new policy, Gemini Nano Banana still holds an edge over competitors. Free users can generate far more content than with ChatGPT or MidJourney’s trial options, making it a more attractive entry point for casual creators.Moreover, Nano Banana’s advanced 3D rendering capabilities and ability to process natural language prompts into complex effects set it apart in terms of creative potential. Instead of manually adjusting settings, users can simply describe their vision and let the AI handle the details.

Nano Banana AI: Steps to generate 3D models with Gemini app

Creating images and 3D models with Gemini Nano Banana is simple and beginner-friendly:

Open the Gemini app and navigate to the Nano Banana option.
Upload an image you want transformed into a 3D model.
Enter a pNano Banana AI: ChatGPT vs Qwen vs Grok vs Gemini; the top alternatives to try in 2025rompt describing the effects or style you want. You can use Google’s official examples or craft your own.
Generate the model, which usually renders in seconds and can be customized further.

Google’s sample prompts show how detailed the outputs can be. For example, users can request a figurine with specific packaging artwork, desk placement, and environmental details—all generated automatically.Also Read | Nano Banana AI: ChatGPT vs Qwen vs Grok vs Gemini; the top alternatives to try in 2025

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