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How to Recognize ‘Agent Washing’ Before AI Leaves You out to Dry | PYMNTS.com

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Companies of all sizes are being deluged by vendors who want them to deploy the artificial intelligence (AI) trend du jour: AI agents.

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But most of the AI agent systems being sold today are not truly agentic, according to a report from business research and insights firm Gartner. According to the report, out of thousands of AI agent systems touted by vendors, only 130 are real.

Agentic AI, or systems with the autonomy to plan, reason and act toward goals with limited or no human input, is being conflated with simpler tools that lack those capabilities.

“Many vendors are contributing to the hype by engaging in ‘agent washing’ — the rebranding of existing products, such as AI assistants, robotic process automation (RPA) and chatbots, without substantial agentic capabilities,” Gartner wrote.

Vendor selection is critically important. When CFOs were considering deploying generative AI, 25% said reliance on vendors was one of the drawbacks to integration, according to a PYMNTS Intelligence May 2024 report. Fast forward a year: CFOs have become much more comfortable with generative AI but are unsure whether agentic AI is “battle-ready,” according to a July PYMNTS Intelligence report.

Gartner predicted that more than 40% of agentic AI projects will be canceled by 2027 due to high costs, unclear business value and weak risk controls brought on by AI systems incorrectly marketed as agentic.

“True AI agents are defined by goal-driven autonomy — the ability to work dynamically and proactively, with self-determination, to pursue long-term business goals,” Sagi Eliyahu, co-founder and CEO of the tech orchestration platform Tonkean, told PYMNTS.

These agents can use tools, taps unique skills as well as other agents to complete complex work across tech environments, Eliyahu said.

But the key ingredient is integration, Eliyahu said.

“A true agentic AI system orchestrates agents across every relevant piece of technology or team environment. If the ‘agent’ only handles discrete tasks that are defined by the user, if it only works inside its own system, or if it’s only accessible through chat, it may in fact be an AI capability, but it’s not an agent — it’s an automation or it’s a chatbot.”

Akhil Sahai, chief product officer at Kanverse.ai, wrote in a post on LinkedIn that companies need to ask the following questions to identify whether an AI system is truly agentic:

  • Can the system operate without constant human input?
  • Does it pursue goals autonomously rather than follow scripted tasks?
  • Can it reason, plan and improve with experience?

“If the answer to any of these is ‘no,’ it’s not an AI agent,” Sahai said.

See also: The Two Faces of AI: Gen AI’s Triumph Meets Agentic AI’s Caution

Demand for Hard Evidence

Eliyahu said it’s important that an agentic AI system supports orchestration. This refers to several bots coordinating on tasks to achieve a common goal, by themselves or with minimal human intervention. In traditional automation, the bot does one task at a time in a fixed sequence. It can’t plan, adapt or collaborate.

“Orchestration is the essential infrastructure for leveraging AI agents to their full potential,” Eliyahu said. “Agentic orchestration is how you instrument AI agents for enterprise. It’s an approach that puts agents alongside employees to coordinate workflows, execute tasks and drive outcomes — all while following configurable policies and guardrails.”

But the problem is that the term “AI agent” today has become part of a trend. “Everywhere you look, companies are branding their products as ‘AI agents,’” Sahai added. “The term has become a catch-all, slapped onto everything from basic workflow automation to applications that simply call an LLM for a response … This isn’t harmless marketing; it’s fueling confusion about what AI agents truly are.”

Sahai compared the trend to earlier rounds of “cloud washing” and “AI washing,” in which vendors relabeled legacy software to appear modern. He noted that simple rule-based automation, apps with embedded language models and tools that require frequent human intervention are often mislabeled as agentic systems.

These exaggerated claims come at a cost: erosion of trust, confusion, stagnation and wasted investment.

“Most agentic AI propositions lack significant value or return on investment (ROI),” said Anushee Verma, senior director analyst at Gartner, in the report. 

Despite current shortcomings, Gartner sees long-term potential for agentic AI. It predicted that by 2028, 15% of daily work decisions will be executed autonomously, and 33% of enterprise software applications will include agentic capabilities — up from less than 1% today. 

But caveat emptor must apply.

“Don’t settle for AI agent as a label,” Sahai said. “Demand evidence. Ask hard questions. And avoid repeating the cycle we saw with cloud-washing and AI-washing.” 

For all PYMNTS AI coverage, subscribe to the daily AI Newsletter.

Read more:

AWS Unveils AI Agent Marketplace as ‘One-Stop Shop’ for Enterprise Deployment

Meet the AI Agents Acing Compliance Tests and Correcting Government Data

AI Agents Do Well in Simulations, Falter in Real-World Shopkeeping Test

 

 

  • Agent washing is widespread, with vendors mislabeling basic automation or LLM apps as AI agents, creating confusion and leading to wasted investments.
  • True AI agents can work together to achieve a shared goal with minimal or no human intervention. They can reason, plan and adapt.
  • To avoid falling for inflated claims, business leaders should demand proof and ask critical questions.

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Speed Raises $8 Million to Expand Bitcoin and Stablecoin Payment Solutions | PYMNTS.com

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The company will use the new funding to build capacity, expand to new regions, develop more merchant tools, enable cross-border and creator payouts, and maintain reliability and compliance, it said in a Tuesday (Dec. 16) blog post.

Speed’s offerings include a global payment layer called Speed Merchant that is designed for merchants, platforms and payment systems and enables them to accept both Bitcoin and stablecoins, according to the post.

The company also offers a Lightning wallet called Speed Wallet that serves individuals and businesses and enables Bitcoin and stablecoin transfers, supports global payouts, offers local on- and off-ramps, and powers USDT transactions, the post said.

“We’ve always believed that Bitcoin and stablecoins can power everyday payments,” Speed CEO Niraj Patel said in the post. “That requires real infrastructure—fast, compliant and scalable. This investment validates that belief and accelerates our mission.”

Speed co-founder Jayneel Patel said in the post that the company aims to “solve real problems with technology.”

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“Speed started as a merchant solution and has grown into a global payment network,” Jayneel Patel said, adding the company is “ready to take the next leap.”

Stablecoin issuer Tether and venture fund ego death capital co-led the funding round, per the post.

Tether said in a Tuesday press release that its investment supports its strategy to support Bitcoin-aligned financial infrastructure and expand the utility of its USDT stablecoin in real-world payment environments.

“We support teams building practical infrastructure that reduces friction in payments and expands access to reliable settlement rails,” Tether CEO Paolo Ardoino said in the release.

Tether’s USDT stablecoin is the most traded cryptocurrency by volume around the world.

Adam Gebner, associate at ego death capital, said in a Tuesday blog post that Speed processed over $1.5 billion in payment volume over the past 12 months and serves more than 1.2 million users.

“By bridging Lightning and stablecoins in a single, compliant platform, Speed is positioning itself as foundational infrastructure for the Bitcoin and stablecoin economy, serving merchants, platforms and users across both developed and emerging markets,” Gebner said in the post.

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Databricks Targets $134 Billion Valuation in New Funding Round | PYMNTS.com

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Data analytics/artificial intelligence (AI) firm Databricks is reportedly raising $4 billion in a new funding round.

This Series L round would value the company at $134 billion, up 34% from its last session of funding during the summer, the Wall Street Journal (WSJ) reported Tuesday (Dec. 16).

Ali Ghodsi, Databricks’ co-founder and CEO, told the WSJ the company plans to use the new funding to invest in its core data-analytics products and AI software, while also letting its workers engage in secondary share sales.

The company, among the most valuable private firms in Silicon Valley, also plans to hire around 600 fresh college graduates in 2026, the CEO added, in addition to adding thousands of new jobs worldwide in Asia, Latin America and Europe. It also plans to hire AI researchers, who are typically paid top salaries, the WSJ added.

The report noted that Databricks has benefited from the AI boom, which relies partially on private corporate data to customize AI models. Databricks told the WSJ that its data-warehousing product, which can serve as an underlying data platform for AI services, surpassed a $1 billion revenue run rate at the end of October.

This year has seen Databricks ink deals with OpenAI and Anthropic to help sell AI services to business customers. Each of these partnerships are designed to push clients to develop AI agents, or independent bots that can carry out tasks on behalf of humans.

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The company’s new funding round comes three months after Databricks’ Series K round, which valued it more than $100 billion, up from $62 billion at the start of the year.

In other AI news, PYMNTS wrote earlier this week about The General Intelligence Company of New York, a start up developing agent-based systems designed to take over large portions of company operations.

“The company’s name deliberately evokes Gilded Age ambition, and founder Andrew Pignanelli told PYMNTS that the reference was intentional,” that report said. “He said he views AI as foundational infrastructure for the next era of company-building, much as railroads and industrial capital reshaped the United States economy more than a century ago.”

The company started by working backward from “the one-person billion-dollar business,” as Pignanelli termed it.

“We started at the end, the actual one-person billion-dollar company, and worked our way back and we were like, ‘What can we do today?’” he said.

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Apple App Store Fees Face Pressure From EU Developers | PYMNTS.com

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A collection of app developers and consumer groups want Europe to enforce laws against Apple.

The Coalition of App Fairness (CAF) on Monday (Dec. 15) issued an open letter to the European Commission (EC) accusing the tech giant of “persistent” non-compliance with Europe’s Digital Markets Act (DMA).

The letter follows findings from the EC that Apple had violated the DMA by keeping developers from directing users to alternative payment methods, fining the tech giant $588 million.

Apple in turn revised its terms for its app store to impose fees that ranged from from 13% for smaller businesses to up to 20% for App Store purchases. However, the CAF says Apple has not addressed what it calls a core issue: the company’s fees are preventing fair competition.

“The law says that gatekeepers like Apple must allow developers to offer and conduct transactions outside of the App Store free of charge,” the letter said. “However, Apple is now charging developers commission, fees of up to 20% for such transactions. This is a blatant disregard for the law with the potential to vanquish years of meaningful work by the Commission.”

The CAF also notes that Apple plans to introduce new terms and conditions for the App Store next month, and says it suspects the new terms will include fees that violate the DMA.

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“Apple cannot be permitted to exploit its gatekeeper position by holding the entire industry hostage,” the letter added.

PYMNTS has contacted Apple for comment but has not yet gotten a reply. The company had in September called on the commission to rethink the DMA, which was created to prevent market abuse by tech giants doing business in Europe.

“Over that time, it’s become clear that the DMA is leading to a worse experience for Apple users in the EU,” Apple wrote in a blog post. “It’s exposing them to new risks, and disrupting the simple, seamless way their Apple products work together. And as new technologies come out, our European users’ Apple products will only fall further behind.”

In its blog post, Apple argued the DMA requirements for allowing other app marketplaces and alternative payment systems don’t take into account the privacy and security standards of the App Store, putting customers at risk for being overcharged or scammed.

“The DMA also lets other companies request access to user data and core technologies of Apple products,” the company wrote. “Apple is required to meet almost every request, even if they create serious risks for our users.”

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