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Salesforce, Adobe, Oracle, Google Bet Billions to Integrate AI | PYMNTS.com

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The week’s Big Tech developments point to a maturing artificial intelligence (AI) ecosystem. The focus is shifting from building smarter models to building the pipelines, agents and data platforms. These elements make models work together at scale.

Salesforce Goes All In on the Agentic Enterprise

At its flagship conference in San Francisco, Salesforce made its most aggressive bet on where enterprise AI is headed. The company unveiled Agentforce 360, its new platform for what CEO Marc Benioff calls the “agentic enterprise.” It is designed to connect humans, agents and enterprise data on one trusted system. According to Salesforce’s official announcement, Agentforce 360 represents “the evolution of CRM.” It embeds autonomous and multimodal AI across its Service, Marketing and Commerce clouds.

The launch builds on expanded partnerships with OpenAI and Anthropic to bring their frontier models, including GPT-5 and Claude, into Salesforce’s platform. This addition powers intelligent workflows for sales, finance and customer service. These models will enable domain-specific AI agents capable of handling tasks such as forecasting, contract analysis and lead management. They do so while adhering to enterprise compliance requirements.

Salesforce also backed its AI expansion with a $15 billion investment in San Francisco over the next five years. This investment aims to grow its innovation footprint and workforce. It reaffirmed its long-term goal of $60 billion in annual revenue by 2030. The company highlights that agentic workflows and automation will drive the next wave of enterprise growth.

Dreamforce announcements also introduced Slack’s expanded role as the interface for Salesforce’s agent ecosystem. Additionally, there are new Einstein Copilot features and updates to its Trusted AI governance framework. These updates focus on data provenance, auditability and model explainability. These moves cement Salesforce’s strategy to make AI integral to how every business unit collaborates. They also guide how decisions are made.

Adobe Turns Generative AI Into a Branded Service

While Salesforce reimagines workflows, Adobe is reinventing creative infrastructure for the AI era. The company launched Adobe AI Foundry. This platform lets enterprises train custom generative models on their proprietary brand assets, including video, 3D design and text. It ensures every AI-generated output matches their identity and tone.

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Early adopters, such as Home Depot and Walt Disney Imagineering, are already piloting brand-specific models through Foundry. They use this platform to automate campaign creation and content workflows at scale. The company is shifting toward usage-based pricing tied to generative output instead of traditional software licenses. This move is reported by Investors.com, as part of its broader AI-as-a-service transition.

Adobe says Foundry models are built on top of its Firefly foundation family. However, they are trained in a way that keeps enterprise IP secure and isolated from public data sets. This focus on provenance and content authenticity addresses one of the biggest risks in generative AI: brand dilution through synthetic media. The initiative positions Adobe not just as a creative software provider but as a brand infrastructure company for the AI economy.

Oracle is Rebuilding the Data Foundation for AI

As peers move up the stack, Oracle is reinforcing the layer beneath it. At the Oracle AI World event, the company introduced the Oracle AI Data Platform, Autonomous AI Lakehouse and Oracle Database 26ai. These are three pillars designed to merge data governance, analytics and AI in one environment.

The new architecture brings vector search and in-database agent frameworks directly into Oracle’s data systems. This allows enterprises to run generative and predictive AI workloads without moving sensitive data into external stores. Oracle’s pitch is clear: Bring AI to the data, not the other way around. The company’s newly unveiled Autonomous AI Lakehouse, meanwhile, is designed to unify structured and unstructured data with native AI governance capabilities. This is a response to enterprise demand for transparency and security across hybrid and multicloud environments.

To power these offerings, Oracle expanded its infrastructure partnership with AMD. This ensures access to the next generation of graphics processing units optimized for large AI workloads on Oracle Cloud Infrastructure. The collaboration allows customers to scale AI training and inference workloads across cloud and on-premises environments. Oracle executives said this approach enables faster model deployment, lower data latency and complete control of compliance pipelines. It targets enterprise CIOs, who must balance innovation with regulation.

Google Expands the AI Infrastructure

Completing the week’s major announcements, Google underscored that AI’s future depends as much on physical infrastructure as it does on algorithms. The company announced a $9 billion investment through 2027 to expand its AI and cloud footprint in South Carolina, part of a larger $24 billion global program spanning the United States and India. The investment will fund hyperscale data centers, subsea cables, renewable-energy capacity and new fiber networks to support the exponential computing needs of frontier AI models.

This expansion follows Google’s $15 billion investment in India announced in October, which includes an AI hub in Visakhapatnam. Both initiatives reflect Google’s belief that controlling the physical layer of computing, connectivity and energy is essential to maintaining leadership in AI services.

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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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