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Generative AI plays a role in everyday finance

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Generative AI plays a role in everyday finance

Generative AI technologies like ChatGPT and Bard aren’t the end of the world, as sci-fi antagonists may make them out to be. But they’re not demure wallflowers, either. The truth exists somewhere in between, leaving CFOs with many questions but few answers on how to integrate these game-changing tools to maximize efficiency, accuracy and insight into everyday finance and accounting.

First and foremost, it’s important to understand what generative AI is and isn’t. No AI can think or emote like human beings, at least not yet. Instead, when you type a question into ChatGPT’s prompt, it strictly uses mathematics and probability to respond, tapping into a massive reservoir of data to arrive at the answer that’s most likely correct.

Therefore, generative AI is simply an artificial intelligence trained to generate new data based on existing data. It’s a useful assistant, not a sentient being, and most beneficial when it’s helping a finance organization streamline workflows, optimize processes, and improve business insights. Ultimately, ChatGPT can help teams improve, not replace them, and that’s a critical distinction that too often gets buried in the hype.

Empowering accounting and finance with generative AI

The real question CFOs should be asking is how they can use generative AI tools to create new value, either by freeing up time for team members, generating deeper insights, or both. At the individual level, AI excels in quickly handling tedious yet important daily tasks.

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Financial report creation: Accounting professionals no longer have to wade through endless stacks of spreadsheets for data. Generative AI can speed up the preparation of financial reports by swiftly analyzing data sets, freeing your team to deliver more value-added tasks.

Data analysis: Generative AI can then dive deeper into these datasets, pulling out valuable patterns and anomalies that would otherwise go unnoticed. Further, it can significantly enhance decision-making efficiency and impact by eliminating common bottlenecks like manual analysis and human error.

Writing and communication assistance: Many accountants look at composing emails and other important documents as a necessary evil that costs precious time they could better use elsewhere. ChatGPT, Bard and similar tools can simplify copywriting and editing tasks, increasing productivity while still ensuring clear communication.

Improving business functions with generative AI

While individual productivity benefits are a good start, bigger gains lie in generative AI-enhanced business processes:

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Financial modeling and analysis: In just a few seconds, generative AI can handle complex financial calculations, offering new levels of efficiency and accuracy for FP&A teams.

Predictive analytics and process optimization: Generative AI can dive into historical data, tease out trends, and guide laser-focused forecasting and planning. It can also refine and develop new ways to streamline operations, improving process automation and decision-making capabilities.

Anomaly and error detection: AI can spot and rectify hidden issues quickly, improving financial reporting and compliance, reducing the risks of human error, and helping to optimize cash flow and revenue management.

Vendor evaluation: A tool like ChatGPT can simplify and streamline the vendor selection process, comparing strengths and weaknesses of different software solutions. The result is a far less daunting, more efficient and comprehensive due diligence process.

Steps for implementing generative AI

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Of course, new technologies always look great on paper. The rub is actually implementing and integrating them, both areas where a handful of simple best practices can help CFOs quickly deploy these innovative tools.

DIY or third-party: Some companies have sufficient in-house skills to identify potential AI use cases and implement them accordingly. Others are better off partnering with experienced external consultants to lead the AI charge, often saving time and money along the way. It’s up to the individual CFO to determine which route is best for their team and enterprise.

Launch testbed projects: Pilot projects allow leadership to test different strategies and technologies on a small scale, providing insights for larger rollouts.

Create a mature data strategy: Generative AI should fit into an inclusive data strategy that highlights a firm’s most valuable asset — its data. When leveraged correctly, AI-driven data business information can generate precious insights, streamline processes, and incentivize innovation.

Upskilling a team: With generative AI playing an increasingly crucial role, CFOs should consider their team’s skill level. Upskilling in data analytics, critical thinking and AI understanding should be top-of-mind when hiring new talent. Going forward, AI prompt engineering is an area where the right talent can be a significant competitive advantage.

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The AI revolution has begun

Generative AI isn’t just knocking on the CFO’s door. It’s inside the building, waiting to go to work. And while it may present some obstacles in the short term, its long-term potential is unprecedented. As usual, it’s the early adopters, the leaders who both understand and embrace this extraordinary technology, that will put their enterprises at the top of the competitive pack.

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Finance

New transition finance playbook offer tips for financial institutions | Investment Executive

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New transition finance playbook offer tips for financial institutions | Investment Executive

It also considers current market realities such as a shortage of high-emitting companies with robust transition plans, the lack of high-quality and consistent metrics available to assess such plans, and no clear definition of what transition finance activity entails.

“There is no universal approach to transition finance,” said Yingzhi Tang, one of the lead authors of the playbook and a senior research associate with the ISF.

“That is where our playbook comes into play, to lay out a range of approaches, allowing financial institutions to select the path that best suits their mandate and context.”

The playbook offers 14 tips and provides some practical examples from the Caisse de dépôt et placement du Québec, Ontario Municipal Employees Retirement System (OMERS) and the Co-operators Group. The three institutions helped develop the recommendations.

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The list of tips starts with a recommendation to get “the top level” of a financial institution involved, Tang said, referring to senior executives. The playbook says securing support at the senior level can be done by presenting a business case about how transition finance can allow an institution to create value and manage risks.

Another tip is to leverage third-party taxonomies and frameworks to come up with an in-house definition for transition finance and clearly communicate which frameworks that definition is based on. For example, it notes that OMERS developed its in-house climate taxonomy by drawing on external frameworks such as the International Capital Markets Association’s Green Bond Principles and Climate Bonds Initiative Taxonomy.

Acknowledging that high-emitting companies are still in the early stages of decarbonizing, the playbook further recommends using a range of metrics to track their progress. This includes emissions intensity metrics, which measure the emissions produced for each unit of activity or output, and temperature scores, which estimate the global temperature rise associated with a company’s emissions or those of a portfolio.

Other recommendations include segmenting portfolios based on “transition maturity” to gauge which investments are further along in supporting a transition to a low-carbon economy and which require more progress, embedding decarbonization targets in underwriting strategies and collaborating with policymakers to drive further action.

“It is very much going step by step through the investment cycle,” Tang said.

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The new playbook comes on the heels of the launch of Business Future Pathways, an initiative that seeks to encourage Canadian financial institutions and companies to develop credible climate transition plans. That initiative is also supported by the ISF.

Tang said the playbook and Business Future Pathways are intended to work hand in hand to propel Canada toward its target of achieving net zero by 2050. As it stands, it’s estimated that the country is short $115 billion a year in transition-aligned investments to achieve that target.

“Those activities make up the whole puzzle of deploying capital credibly to those assets with robust transition plans,” she said.

“It’s extremely important for Canadian financial institutions to manage climate-related financial risks and capture long-term value in the transition to net zero.”

IE was a media sponsor of the RIA Conference.

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Finance

Finance approves Long to lead IRS

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Finance approves Long to lead IRS

Former Rep. Billy Long (R-Mo.) is one step closer to taking over as IRS commissioner.

The Senate Finance Committee voted 14-13 along party lines to approve Long’s nomination to lead the tax-collecting agency. The former auctioneer is up for the job after the previous IRS commissioner, Danny Werfel, stepped down when it became clear the White House would oust him. A series of interim leaders have guided the IRS since then.

You’re seeing a preview of our Premium Policy: The Vault financial services and tax policy coverage. Read the full story by subscribing here.

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Finance

Private credit could ‘amplify’ next financial crisis, study finds

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Private credit could ‘amplify’ next financial crisis, study finds

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Private credit is now so intertwined with big banks and insurers that it could become a “locus of contagion” in the next financial crisis, a group of economists, bankers and US officials has warned.

Researchers from Moody’s Analytics, the Securities and Exchange Commission and a former top adviser to the Treasury Department found private credit funds have become enmeshed with the banking system, creating “new linkages [that] introduce new modes of systemic stress”.

“Their opaqueness and role in making the financial network more densely interconnected mean they could disproportionately amplify a future [financial] crisis,” the group said on Tuesday in a study published by Moody’s Analytics.

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Private credit has boomed in recent years as regulations put in place following the 2008 financial crisis prompted banks to tighten their lending standards. Funds, which generally lend to riskier companies with significant debt loads, are subject to looser oversight than banks — something that has prompted concern as the sector has grown.

The report, written by Mark Zandi at Moody’s Analytics, Samim Ghamami of the SEC, and former Treasury adviser Antonio Weiss, is one of the most comprehensive analyses to date on how private credit would affect the broader financial system during a period of market upheaval.

The researchers relied on financial reporting and the stock prices of publicly listed middle-market corporate lenders, known as business development companies, as their proxy for the otherwise opaque private credit industry. They found that during recent moments of market stress, business development companies had become more tightly correlated with the turmoil in other sectors than they were previously.

“Today’s network of interconnections in the financial system is more distributed, with a denser web of connections than it had pre-crisis, when the system operated more like a ‘hub and spoke’ model with banks at the centre of the network,” the report said, noting that private credit firms, other speciality financial groups and insurers have taken a greater role in lending.

Private credit firms maintain they are better at lending than banks because they rely on capital from institutional investors with longer time horizons and not subject to “runs” such as bank deposits, which can lead to broader contagion in moments of panic.

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“Banks are increasingly involved in private credit and other non-bank financial institutions through partnerships, fund financing and structured risk transfers that allow them to maintain economic exposure to credit markets while shifting assets off balance sheet,” the Moody’s Analytics study said.

The Boston Federal Reserve last month had similarly warned that banks were exposing themselves to new channels of risk by lending to private credit funds and other similar groups.

Fitch Ratings this week said that private credit’s “evolving products and asset classes requires close monitoring, with many untested through market cycles”.

The Moody’s Analytics report said the private credit sector should be required to share more public data on its lending, and for financial regulators to emphasise private credit in their overall “systemic risk monitoring”.

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“The objective is not to stifle the beneficial innovation that private credit provides but to shine a light on its risks and linkages so that a rapidly growing part of corporate finance, and potentially other sectors, does not become a blind spot.”

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