Finance Desk

BNP Paribas Google Cloud Deal

The French banking group leverages Google Cloud and Gemini AI to streamline operations and drive returns.

French banking giant BNP Paribas SA is tying its artificial intelligence investments to well-defined financial targets, most recently projecting $853 million in value creation through its newly announced partnership with Google Cloud.

The assigned value is not always fully declarative, said Marc Camus, group chief information officer of BNP Paribas, during a Sept. 24 press conference. 

“There is a finance committee which will use different submissions from the different entities and functions. There is a check and challenge by the finance function on these value creation figures. And when I say value creation, it does not necessarily mean cost savings. It can be revenue generation, for instance, through pricing optimization techniques. It can indeed be pure cost savings by optimizing processes.”

“The bank views AI as a P&L,” said Charles Holive, managing director and chief AI officer for BNP Paribas’s corporate and institutional banking business. ”Every program we decide on, especially the big transformation ones, is tied to specific financial targets. Those could be revenue, could be cost savings or risk avoidance.” 

Google Cloud

Under the terms of the five-year deal, the bank will have access to Google Cloud—the cloud computing division of Google parent Alphabet Inc.—and Gemini Enterprise’s library of more than 200 open-source AI models, which BNP Paribas can develop into purpose-built AI agents.

“This technology pairing is going to be supported by a group-wide AI enablement program, and that’s covering everything from foundational AI literacy right through to specialized agent development,” said Georgina Bulkeley, managing director and global industry lead of financial services at Google. “It’s a really important cultural aspect of these kinds of partnerships.”

Early deployments target BNP Paribas’s CIB business, which has extended AI access to its 65,000 employees, focusing on middle- and back-office processes like credit memo generation and improving the know-your-client processes.

The announcement comes four months after BNP Paribas inked a three-year extension to a 2024 groupwide agreement with Mistral AI to design and develop generative AI offerings based on the vendor’s large language models that meet the bank’s operational and regulatory requirements.

Camus said that this was clearly in line with what BNP Paribas has been doing in the past few years. “We don’t necessarily stick with just one partner,” he explained. “Depending on the use case we are working on and depending on the business requirements, we will go for some on-premises solutions and some public cloud solutions.”

Reallocating Human Capital

Camus said that the agreement may lead to some change in headcount within the bank, but that has been an ongoing result from implementing process automation for many years. The bank, however, looks to bulk up its workforce with more AI and data experts, he added.

“We need to invest in the workforce in these areas,” said Camus. “There is also a need for change management in a number of teams. For example, IT developers need to get used to working with AI agents.”

Rob Daly covers economics and fintech. Contact him at rdayly@gfmag.com.

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Bessent pulls the plug on AI czar rumors (XT:NASDAQ)

AI Hand Analyzing Financial Data Graphs for Business Strategy

J Studios

Treasury Secretary Scott Bessent said he does not expect to become President Donald Trump’s new AI czar, pushing back on reports that had identified him as a leading candidate for the newly proposed role.

Asked on Fox News whether Trump

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By the Numbers: Key Trends Driving Private Lending, Finance Talent, and Global Shipping

Key data points tracking shifts in private credit, finance talent, and global shipping costs.

This article appears in the September 2026 issue of Global Finance Magazine.

Each month, Global Finance readers can look forward to our “By the Numbers” feature: A spotlight with key industry metrics that highlight a market in transition. This edition brings you three charts: a break down the numbers driving strategic moves across private lending, corporate talent, and global trade.

US Private Credit Lender Leaderboard for Q2 2026

Despite a significant drop in deal volume from the previous quarter, driven by higher financing costs, interest-rate uncertainty, and a possible AI-driven market correction, direct lenders are still finding opportunities.

Audax led the field by a wide margin, closing 62 deals in the second quarter — 16 more than second-place TPG Twin Brook (46) and 19 ahead of MidCap Financial (43), according to 9fin data. That gap at the top suggests deal flow is concentrating among a handful of active lenders even as overall volume contracts.

Audax led the field by a wide margin, closing 62 deals in the second quarter — 16 more than second-place TPG Twin Brook (46) and 19 ahead of MidCap Financial (43), according to 9fin data. That gap at the top suggests deal flow is concentrating among a handful of active lenders even as overall volume contracts.

Apollo (37), Churchill (36) and Barings (34) formed a tightly bunched second tier, each within three deals of the next. Apogem (32), Blackstone (30), Monroe (27) and Jefferies Credit Partners (25) rounded out the top 10.

Smaller, middle-market-focused shops like Audax and Twin Brook outpaced Blackstone this quarter despite its scale, making the firm’s eighth-place finish notable. Lenders with flexible mandates—rather than the biggest balance sheets—will likely keep writing checks amid higher financing costs and rate uncertainty.


The Finance Workforce Evolution 2024 – 2030

Gartner projects traditional finance talent will shrink to 20% of the workforce, while dedicated digital finance talent grows to another 20% — and 60% of the workforce will be made up of "nondedicated" digital finance talent, employees who blend finance expertise with data, automation and technology skills rather than fitting neatly into either camp.
Source: Gartner

Gartner reports that traditional talent still overwhelmingly staff today’s finance function, with 85% holding conventional backgrounds and just 15% dedicated to digital skills. That balance will flip within four years.

Gartner projects traditional finance talent will shrink to 20% of the workforce. Dedicated digital finance talent will likely grow to another 20% — and 60% of the workforce will be made up of “nondedicated” digital finance talent, employees who blend finance expertise with data, automation and technology skills rather than fitting neatly into either camp.

The shift means the finance department of 2030 will look less like a roomful of accountants and more like a hybrid team built around technology fluency, with only one in five employees carrying a purely traditional finance profile.


Dry Bulk Shipping Market Growth

Increased geopolitical risk, fuel costs, insurance premiums, and operating expenses are fueling a steady growth in shipping costs for the foreseeable future.

Increased geopolitical risk, fuel costs, insurance premiums, and operating expenses are fueling a steady growth in shipping costs for the foreseeable future

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