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AI Pushes Big Brands to Reinvent Their Workforce Strategy | PYMNTS.com

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Modern enterprise leaders have grown accustomed to major technological transitions arriving with a playbook. Cloud migration? There were frameworks, maturity models and reference architectures. Cybersecurity? Standards, best practices and step-by-step roadmaps proliferated.

Even digital transformation, messy as it was, offered blueprints for customer journeys and operational overhauls. But today’s shift toward artificial intelligence feels different.

Findings in the November 2025 The CAIO Report from PYMNTS Intelligence reveal that the greatest threat AI poses to enterprises today isn’t job loss. It’s unpreparedness. As firms rush to automate workflows and reengineer their talent models, most admit they lack the skills, processes and organizational clarity to do so well.

Just 60% of firms surveyed report being even “somewhat prepared” for AI-driven workforce changes, and only 12% feel “very prepared.”

There is no master plan, no widely accepted framework, no agreed-upon first principles. Instead, companies are writing the rules in real time, under immense pressure to harness a technology that is evolving faster than any previous wave.

This absence of a universal guidebook may unsettle some leaders, but it could be the best thing to happen to corporate strategy since the ledger. After all, artificial intelligence does not represent a singular technology, nor a copy-paste adoption project.

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It is becoming a strategic differentiator whose value, and risks, depend entirely on context: the industry, the workforce, the culture, the competitive landscape, and above all the enterprise’s own ambition.

A Technology That Refuses to Stay in Its Lane

Earlier operational transformations came with clear boundaries. AI is different because it bleeds across them.

The report found that companies tend to adopt AI for different primary goals depending on their sector.

Manufacturers see artificial intelligence primarily as an efficiency multiplier. Predictive maintenance, defect detection, process assurance and autonomous robotics promise to eliminate waste and downtime when AI is applied across mainstay industrial KPIs. Retailers, by contrast, view AI as a productivity tool, unlocking faster inventory turns, dynamic pricing and hyper-personalized marketing.

In professional services, the focus is on augmenting experts, accelerating research and scaling specialized knowledge across global operations. And inside Silicon Valley, tech companies are fighting for survival: the landscape is shifting so quickly that their product roadmaps, revenue models, and competitive moats may hinge on AI adoption itself.

Read more: No Roadmap, No Problem: How Enterprises Are Reinventing the AI Workforce

Few other enterprise technologies have split along such strategic lines. ERP systems did not look radically different in hospitals versus investment banks. But AI does.

Employees are living through a transformation without historical parallel: their roles, processes and required skills are changing not because of a top-down mandate, but because the technology itself keeps rewriting the boundaries of work.

Some employees quietly build personal toolkits of prompts and workflows long before HR announces a single course. Others hesitate, unsure how much artificial intelligence will reshape their obligations or their job security. Managers, meanwhile, struggle to evaluate performance when the very definition of individual contribution is shifting.

The result is a fragmented landscape where companies cannot simply borrow someone else’s strategy. They must craft their own with intention. AI touches too many dimensions of organizational life to fit into a single formula. The differences begin with the core strategic question: What, exactly, is AI for? Efficiency? Creativity? Intelligence? Autonomy? Cost reduction? Revenue expansion? Competitive parity? Competitive disruption?

The answers vary. And each answer dictates a different workforce strategy.

In earlier eras, following the standard playbook was prudent. But in the age of artificial intelligence, imitation is riskier than innovation. When competitive advantage comes from the unique intersection of data, culture, talent, and ambition, companies that define their own AI trajectory could outperform those that wait for consensus.

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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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