Senators Demand Answers About Delta’s New AI Pricing Plan
One of the most significant compliance challenges is the ability to remain current with constantly evolving regulations across multiple jurisdictions, he said. For example, if the model hallucinates and gives made-up responses, a firm could give incorrect advice or violate suitability standards. Users of AI need to understand the sources referenced, if any, in the AI response, he said. Delta first announced the AI pricing during an investor event in November, calling it a “full reengineering of how we price and how we will be pricing in the future.” Some artists have spoken out against the use of AI in music, while others have embraced it.
Anti-money laundering policies
Among the specific compliance concerns involving AI are accuracy, data privacy and recordkeeping, said Scott Weinberg, CEO and founder of managed cybersecurity and enterprise cloud provider Neovera, in Reston, Virginia. That was among the findings of the 2025 Investment Management Compliance Testing Survey, released Tuesday by the Investment Adviser Association, ACA Group and Yuter Compliance Consulting. The survey, now in its 20th year, gathered 577 responses in May from investment advisory firms of all sizes. Last year, people accused Netflix’s true crime documentary What Jennifer Did of using undisclosed generative AI—a claim that executive producer Jeremy Grimaldi denied.
Lowering The Cost And Risk Of AI
In contrast, paying for human support on a usage basis means you can be nimble about managing your costs. When you’re paying for usage-based human services, you can scale your spending up or down as needed. This elasticity can be a game-changer for businesses seeking that delicate balance between growth and caution. While only 5% of firms use AI to support client interactions, 40% of firms have formally adopted AI tools for internal use cases, and another 25% are actively exploring AI adoption, according to the survey. The biggest hurdle many small- and medium-sized companies face when scaling up is the cost of expensive software licensing.
I’m an AI tools expert, and these are the only two I pay for (plus three I’m considering)
In a statement to Business Insider, a Delta spokesperson said the company would not use personal information for dynamic pricing. Sen. Ruben Gallego of Arizona sent a letter to the airline on Monday asking for the company to clarify what data it’s using to determine prices and the scope of its planned AI rollout. That’s because it’s a fake AI-generated song, according to Toto’s only remaining original member, Steve Lukather.
That’s when companies began to copyright software as intellectual property and charge businesses licensing fees to use their technology. “Our creators are already seeing the benefits in production through pre-visualization and shot planning work and, certainly, visual effects,” he said. “It used to be that only big-budget projects would have access to advanced visual effects like de-aging.” With this traditional pricing model, businesses typically pay for tiered subscription plans to access proprietary software. Subscription plans often included usage limits, maintenance fees and additional charges for customized integrations or enhanced customer support. AI-first companies design workflows with AI in mind from the beginning, not as something to tack on later.
Generative AI has already been used in theatrical releases, such as The Brutalist, creepy news broadcasts, clunky movies on free streaming services, and in cartoons. Generative AI can save money, making it a priority for the entertainment industry. The use and touting of generative AI in an original series from Netflix is likely to generate more interest.
- And in fact, that VFX sequence was completed 10 times faster than it could have been completed with visual, traditional VFX tools and workflows.
- They look for the areas where AI can make a real difference—like speeding up manual tasks, helping with lead management or generating quick content drafts.
- Often, there is often a conflict between advisors and those responsible for compliance, said Weinberg.
He also serves on the board of the Coalition Against Financial Crimes. Much of the discussion about generative AI in TV and film centers on the potential to undermine creativity and jobs, and rip off intellectual property. However, there’s also a sincere push to understand how to use the tech to enhance creative, human ideas. As society learns what generative AI realistically will and won’t do, how the technology is received in shows and movies will likely depend on how, when, and why it’s used, as well as how open creators are about its usage. “I’m pretty sure that there’s a better business—and a bigger business—in making content 10 percent better using technology than there is in making it 50 percent cheaper,” Sarandos said at the time. He added that audiences “probably don’t care much about budgets and, arguably, maybe not even the technology to deliver it.”
Start with one or two bottlenecks.
- One of the most significant compliance challenges is the ability to remain current with constantly evolving regulations across multiple jurisdictions, he said.
- A famous rock band has released its first new song in 7 years — but it’s not really theirs.
- The standard pricing model used for modern AI traces back to ancient technological times—the mid-1970s, to be precise.
- Not only that, but if you don’t have the right people in place to leverage this technology, all those promises can come up empty.
On the other hand, implementing new technology can be risky, expensive and disruptive. Not only that, but if you don’t have the right people in place to leverage this technology, all those promises can come up empty. That’s why some service vendors are rethinking their approach to pricing. Forward-looking vendors are dispensing with software licensing fees, instead charging clients for access to human-in-the-loop (HITL) support and throwing in access to powerful AI tools for free.
Some of the most advanced and sophisticated AI innovations are only available to the biggest corporations. By removing the software licensing cost from the equation, vendors can level the playing field for smaller businesses and startups. This makes it possible for smaller players to access the leading-edge AI solutions without the costly upfront investment. Interestingly, while our technology has undergone a remarkable transformation over the last 50 years, this pricing model has remained largely unchanged. When it comes to paying for access to advanced AI tools like OCR, document processing, customer service bots, transcription engines and machine learning platforms, we’re still living in the ‘70s.
Documentaries are supposed to be grounded in truth and evidence, so AI-generated imagery could hurt credibility. Contrastingly, using generative AI to avoid destroying a real building for use in a fictional apocalyptic drama is more understandable. Using generative AI to write the script for such a show, however, would likely evoke different reactions. One of the biggest mistakes I see businesses make is jumping into AI by picking a tool they’ve heard about and trying to force it into their workflow.
While 83% of firms have some form of policies and procedures around AML, independent testing of these policies remains limited, with the majority of firms, 56%, testing these policies less frequently than annually, according to the survey. Sarandos said filming the scene wouldn’t have been possible because it would have been far beyond this project’s budget. The scene would have been possible with visual effects; it would have just taken more time.
