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The CFO who turned Adobe’s finance department into an AI lab | Fortune

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The CFO who turned Adobe’s finance department into an AI lab | Fortune

Finance chief Dan Durn is turning Adobe’s finance organization into an early proving ground for agentic AI—using autonomous software agents to forecast results, scan contracts, and even answer hundreds of thousands of emails.

The push mirrors Adobe’s broader strategy around agentic AI. For customers, the company lets them choose models, combine them with their own data and Adobe’s, and point agents at specific business outcomes.

Internally, Durn, who is also in charge of technology, security and operations, has taken a similar approach to finance: pairing a rules-based, data-heavy function with AI, within a structure where finance, IT, and security report to one leader so pilots can move to production quickly. “Accuracy is non-negotiable,” he adds; that’s why Adobe is investing in structured data and governance so it can move fast without sacrificing precision, he says. 

The rise of AI is rapidly reshaping corporate leadership, accelerating turnover and elevating executives who can deliver fast, tangible results. Even long-tenured leaders face increasing pressure from investors to move aggressively on AI. Recent leadership changes, including the announced retirement of Adobe CEO Shantanu Narayen, highlight how little patience markets now have for perceived hesitation. At the same time, Adobe reported that annualized revenue from its AI-first products more than tripled year over year in its first quarter of fiscal 2026, which ended Feb. 27. Across Fortune 500 companies, this dynamic is creating a new internal proving ground where executives are judged by how effectively, and how quickly, they deploy AI to drive growth, efficiency, and innovation.

Using AI in finance

Inside finance, Durn groups AI use into three buckets: forecasting, anomaly detection, and general productivity.

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For forecasting, AI uncovers patterns and signals in data that would be difficult for humans to detect quickly, he explains. Anomaly-detection agents flag performance that’s unexpectedly strong or weak—“things that can get lost in the sea of data”—so finance can intervene faster, he says.

However, Durn says the best examples now sit in productivity, citing three use cases:

1. Extracting information from PDFs

One of the most developed use cases involves “containers” of information—collections of PDFs such as investor transcripts, quarterly reports, and analyst research. Finance teams use Adobe’s PDF Spaces to load documents into a shared digital workspace and use an agentic AI assistant to surface themes, insights, and messaging cues in minutes rather than hours.

A recent Forrester TEI study found Acrobat’s agentic AI Assistant increases efficiencies in document summarization and analysis by 45%. Durn says that matters because “the world’s information lives in PDF,” and AI that turns static content into insights that can be used.

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2. Cutting contract review time in half

Adobe is also using agentic AI to overhaul contract reviews across finance and procurement functions including revenue assurance, contract operations, product fulfillment, and vendor management. Instead of finance professionals combing through every clause, an AI assistant scans thousands of contracts, highlights provisions relevant to each function, and flags non-standard terms.

The system has cut review time roughly in half, speeding individual reviews and allowing teams to query the entire contract repository—for example, identifying which contracts include auto-cancellation features or foreign-exchange adjustment windows, Durn says. Adobe built its first prototype by April 2024 and began onboarding teams in January 2025.

3. Automating “common” inboxes

A third area is the “common inboxes” that handle high-volume internal and external email—shared addresses for sales, treasury, finance, and supplier questions. Adobe deployed an agentic AI assistant that auto-tags, prioritizes, routes, and, when criteria are met, auto-responds to emails. Typical queries include supplier billing issues or standard credit-quality questions coming into the treasury from Salesforce.

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“In 2025 alone, the system auto-responded to about 300,000 emails across 19 inboxes, saving more than 5,000 hours of manual work and freeing teams to focus on more complex issues,” he says. The tool took about six months to build; beta teams began using it around August 2024, with full rollout in January 2025.

The payoff, he stresses, isn’t headcount cuts but the ability to scale more efficiently as Adobe grows.

Grassroots ideas, decade-long build

Durn traces these finance use cases to Adobe’s long AI journey and a bottom-up idea pipeline. The company has invested in machine learning and AI for more than a decade, initially to understand customer usage patterns and embed intelligence into products—work that laid the groundwork for generative and agentic AI.

Many of the best applications come from “reaching down into the organization” and asking employees where AI could remove friction or make their jobs easier, he says. There are more ideas than capacity, so the team prioritizes those with the greatest impact.

When deciding whether to green-light AI investments, Durn focuses on organizational velocity—the ability of back-office functions to keep pace with faster product innovation. If finance doesn’t adopt AI, he argues, it risks becoming a “rate limiter of growth.”

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The actual spend is modest, he adds; much of the work involves change management and process redesign layered onto Adobe’s technology.

Durn’s perspective on change management coincides with new research from McKinsey. To capture the full value of AI, organizations need to go beyond “a piecemeal approach and push for a double transformation—both technical and organizational—that includes reimagining how work gets done across functions and workflows,” according to the report. While 88% of organizations surveyed are now experimenting with AI, fewer than 20% report tangible bottom-line results,, the research finds.

How AI is changing his own job

For his own workflow, Durn relies on AI primarily for insight generation. Ahead of earnings, his team loads pre-earnings research reports, Adobe filings, and peer transcripts into an AI-powered workspace to surface themes and likely investor questions.

Scripts and Q&A preparation are then run through models with guardrails to test whether messaging addresses those themes and to ask, “If I were an investor, what are my key takeaways?”

He sees it as a useful check on clarity and consistency—using AI to validate instincts and sharpen how Adobe communicates with the market.

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EU and Hong Kong in talks on new financial services dialogue, envoy says

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EU and Hong Kong in talks on new financial services dialogue, envoy says

Senior officials from the European Union and Hong Kong are in talks to launch a financial services dialogue, with companies from the bloc keen to explore opportunities in the Northern Metropolis, its top representative in the city has said.

Ambassador Harvey Rouse, head of the EU Office in Hong Kong, made the remarks at the Greenway 2026 forum on Tuesday, where he highlighted opportunities for cooperation on sustainable innovation and the green transition.

In a keynote address, Rouse said Hong Kong had established itself as one of Asia’s leading centres for green and sustainable finance, and that, as “two of the world’s leaders” in this field, both sides had an opportunity to deepen cooperation.

“Indeed, this cooperation is already under way,” he said.

“Senior exchanges between Hong Kong and the European Commission have intensified over the past year with visits of EU officials to Hong Kong and vice versa. Both sides are looking at starting soon a financial services dialogue to enhance cooperation.”

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Rouse said European firms could also provide investment and expertise to support Hong Kong’s green transition.

“This is particularly relevant as Hong Kong develops the Northern Metropolis,” he said, referring to the city’s 30,000-hectare (74,131-acre) megaproject near the border with mainland China.

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London Mayor: UK Tops Green Finance Rankings for Eighth Straight Year | OilPrice.com

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London Mayor: UK Tops Green Finance Rankings for Eighth Straight Year | OilPrice.com

As the City of London Corporation marks the fifth instalment of the Net Zero Delivery Summit this week, I reflect on the world we were in back in 2022. Only four years ago businesses and communities were recovering from Covid, war had returned to the European continent with the invasion of Ukraine, and surging fuel and food prices were driving global inflation to historic levels. Since then, global instability has only deepened, with conflict in the Middle East and tariff wars disrupting global trade. 

We have to face a difficult truth that the relative stability among major powers that has defined the period since the Second World War – what the historian John Lewis Gaddis called the Long Peace – was actually more of an anomaly. We are living through a period of more volatile geopolitics, faster-moving innovation, and fiercer global competition for investment than at almost any point in recent memory.”

When I travel to overseas markets as Lady Mayor, however, one thing remains constant. Whatever the local view on net zero or climate change, businesses and government leaders are acutely aware that climate resilience is no longer a nice-to-have or an afterthought, it’s critical. Putting my insurance hat on for a moment: global natural catastrophes have increased five-fold over the past 50 years, according to the World Meteorological Organization. The 2025 California wildfires are estimated to have cost insurers around $40bn, among the largest insured losses on record for a wildfire event. The business case for greater climate resilience and adaptation makes itself. So does the case for accelerating the transition to clean energy in our heavy-emitting industries, and for scaling up carbon credit markets. These measures don’t just give us a genuine chance to ease the mounting pressures of climate change, they create jobs, opportunity and innovation here in the UK and globally.

Stop dithering on climate action

But I sense among business and sustainability leaders a real appetite to move beyond the stop-start approach and dithering on climate action. They want to know who’s getting results consistently, who has a model we can follow, who has the talent and expertise to execute at scale, and where they can easily raise capital for clean energy projects. That answer is unequivocally London. During my mayoralty, I’ve partnered with City trade associations and businesses to launch the Team UK campaign, amplifying a confident, evidence-based narrative of London and the UK’s strengths as a global financial hub. We’re the largest and most active capital market in Europe, we have the most fintechs in Europe, we’re the third biggest tech hub globally – and we do just as well in sustainable and green finance. That’s a story we need to shout about; it’s one the world needs to hear.

The UK is the largest market globally for project-level financing for clean energy, the biggest in Europe for private investment in green tech, and has topped the global green finance centre rankings for eight consecutive editions. The mayoralty is about connecting capital with opportunity, and that’s exactly why events like the Net Zero Delivery Summit at the heart of London Climate Action Week, with the likes of Bloomberg partnering, are so important. It’s where the right leaders convene, the right conversations happen, and new partnerships are made that turn commitment into action.

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Mark Carney, now Canada’s Prime Minister, was a keynote speaker at one of our early climate finance summits, back when he was Governor of the Bank of England. His words from a speech that same era still ring true today: “Once climate change becomes a defining issue for financial stability, it may already be too late.” In my role as Lady Mayor the best I can do is set the stage for world leaders to come together and chart a course of greater action – that stage is in the Square Mile and it meets at the Net Zero Delivery Summit.

By City AM

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OpenAI and Anthropic workers are about to learn the hidden challenge of becoming overnight millionaires

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OpenAI and Anthropic workers are about to learn the hidden challenge of becoming overnight millionaires

When OpenAI and Anthropic hit the public markets, a whole lot of employees are going to become gobsmackingly rich. That means it’s time for some high-stakes financial planning.

Both AI labs recently filed initial paperwork to go public, preparing to turn their nearly $1 trillion in private valuations into stock-market windfalls. For employees, life-changing money is on its way.

The workers behind Claude and ChatGPT have major decisions to make. When should they sell their shares? Is it a good time to shell out for a multimillion-dollar house in San Francisco? What’s the right way to donate to charity?

When these workers aren’t getting advice from their chatbots, they turn to accountants and money managers. Business Insider spoke with several financial planners who are already working with OpenAI and Anthropic employees to learn what tax and planning tips the advisors are giving them.

OpenAI and Anthropic workers need to know what they’ve got

Every financial planner Business Insider spoke with offered the same advice: know what you’ve got.

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For example, Mark Cecchini, a wealth planning advisor, said that one of his clients at Anthropic has worked at the company for only three years and already has a whopping $40 million in vested equity, with another $30 million still to vest.

These workers won’t be able to sell their shares on IPO day to use all that money immediately. Companies and banks typically impose a lock-up period for employees, delaying when they can cash out. SpaceX revealed its lock-up structure only a few weeks before its initial public offering this June.

Employees should keep an eye on that timeline and closely track the tax bills and credits they’ve already incurred from their stock options, financial planner Bryan Hasling told Business Insider. As an advisor, he tries to stop clients from spending money they don’t yet have.

If Anthropic goes public in October, it could be April before employees can cash out their shares, Hasling said.

“That’s really important because people hear ‘IPO’ and their brain starts going crazy,” Hasling said.

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OpenAI and Anthropic staff should decide in advance how much to cash out

Hasling has another go-to piece of advice: “Just know your number.”

People make two common mistakes during and after IPOs, Hasling said: they view their share value as liquid cash — ignoring the future tax hit — and they go in without an established goal for their net worth.

Workers should think about what they’d like to do with life-changing wealth, Hasling said, be it to retire, start angel investing, pay off their parents’ mortgages, or, as is most often the case, buy a home — and then plan for those goals.

The advisor said workers get sucked into the visceral feeling of watching their stock price and net worth go up and down, when they’d have been better off setting a firm cash-out plan before the listing.

“Once you know that big round number, the goal is to capture it, pay tax, improve your sleep score,” Hasling said.

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One of Cecchini’s clients, an OpenAI employee, is eyeing a $6 million house in the San Francisco Bay Area’s swanky Marin County. The advisor said he’s helping the client consider loans, potentially against pre-IPO shares, to get the deal done. If employees can’t cash out until spring, Cecchini said, that’ll be a brutal time to buy in the Bay Area housing market.

“You’re probably going to be in bidding wars with people that have potentially unlimited liquidity if everything goes their way,” Cecchini said.

The financial planners largely avoid advising clients on whether to hold or sell their company’s stock, though they generally support diversification.

Minnie Lau, an accountant with clients at both OpenAI and Anthropic, told Business Insider that she poses a thought experiment to tech workers. Would they rather take a bag with a $100,000 cash bonus or $100,000 in company stock options? They’re each taxed as income.

If the client says they’d like the cash, Lau encourages them to view the company going public as a good time to sell. If they’d like the stock, she asks how much they’d be willing to pay per share.

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“It’s just a matter of, do you think your company’s stock is going to beat every single thing out there?” Lau said. “Are you comfortable not diversifying?”

OpenAI and Anthropic employees will need to manage the tax bill of a lifetime

California, where the AI labs are based, has the nation’s highest state tax rate. And federal taxes jump up when a worker has an incredibly lucrative year. Cecchini said he spends a lot of time “just prepping people for that sticker shock.”

OpenAI and Anthropic have given different types of stock options to employees.

OpenAI is a rare breed. Because of the company’s former nonprofit status, early employees received equity in the form of Profit Participation Units, a customized payment that’s tied to future profits. More recently, OpenAI has handed out the more traditional Restricted Stock Units, and PPUs have begun converting to regular shares, making tax planning simpler, Cecchini said.

Anthropic, meanwhile, has paid employees with a more classic mix of stock-based compensation, distributing RSUs, Non-Qualified Stock Options, and Incentive Stock Options. Those are a bit trickier to plan around, tax-wise.

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Advisors suggested some workarounds and strategies to reduce tax liability. When workers exercise ISOs, they may end up paying the Alternative Minimum Tax instead of their regular tax bill, and it’s possible to use that payment as a credit against future taxes.

Cecchini saw an OpenAI client use the opportunity zone deferral, which incentivizes investment in certain areas by deferring capital gain taxes. He’s also seeing a lot of interest in the “Buy, borrow, die” strategy of borrowing against brokerage accounts to avoid paying capital gains taxes, which he said works best if you feel super confident in your portfolio’s makeup.

Employees who may have been through a failed IPO or held bad investments can use those prior losses to reduce capital gains taxes on their OpenAI or Anthropic IPO shares, Evan Hargreaves, an accountant, told Business Insider.

Hargreaves, who has clients at both labs, said he’s recently seen more everyday people put their stocks into donor-advised funds, which are accounts that give to charities, to reduce their tax liabilities.

That’s a good route for these workers, he said. If they donate the shares that have gained the most value over time to the funds, they both get a deduction for the donation and avoid paying capital gains taxes on the shares.

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Hargreaves also suggests the easiest route to clients: maxing out your 401(k) in the year of an IPO can save thousands of dollars.

Finally, advisors say to be prepared, as many IPOs underperform.

“I don’t want to be a doomer and say, ‘Oh, bad things happen,’ but educated people know what the stats are,” Hargreaves said. “Eh, that sounds so negative. You just want to be prepared whether the stock goes up or down on IPO, six months to a year later.”

Have a tip? Contact this reporter via email at scouncil@businessinsider.com, or over text, Signal, Telegram, or WhatsApp at 415-757-8198. Use a personal email address, a nonwork WiFi network, and a nonwork device; here’s our guide to sharing information securely.

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