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AI-powered financial advisor has $20 billion in assets

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AI-generated responses are becoming more common, whether travelers know or not.

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An automated financial advisor called PortfolioPilot has quickly gained $20 billion in assets in a possible preview of how disruptive artificial intelligence could be for the wealth management industry.

The service has added more than 22,000 users since its launch two years ago, according to Alexander Harmsen, co-founder of Global Predictions, which launched the product.

The San Francisco-based startup raised $2 million this month from investors including Morado Ventures and the NEA Angel Fund to fund its growth, CNBC has learned.

The world’s largest wealth management firms have rushed to implement generative AI after the arrival of OpenAI’s ChatGPT, rolling out services that augment human financial advisors with meeting assistants and chatbots. But the wealth management industry has long feared a future where human advisors are no longer necessary, and that possibility seems closer with generative AI, which uses large language models to create human-sounding responses to questions.

Still, the advisor-led wealth management space, with giants including Morgan Stanley and Bank of America, has grown over the past decade even amid the advent of robo-advisors like Betterment and Wealthfront. At Morgan Stanley, for instance, advisors manage $4.4 trillion in assets, far more than the $1.2 trillion managed in its self-directed channel.

Many providers, whether human or robo-advisor, end up putting clients into similar portfolios, said Harmsen, 32, who previously cofounded an autonomous drone software company called Iris Automation.

“People are fed up with cookie-cutter portfolios,” Harmsen told CNBC. “They really want opinionated insights; they want personalized recommendations. If we think about next-generation advice, I think it’s truly personalized, and you get to control how involved you are.”

AI-generated report cards

The startup uses generative AI models from OpenAI, Anthropic and Meta’s Llama, meshing it with machine learning algorithms and traditional finance models for more than a dozen purposes throughout the product, including for forecasting and assessing user portfolios, Harmsen said.

When it comes to evaluating portfolios, Global Predictions focuses on three main factors: whether investment risk levels match the user’s tolerance; risk-adjusted returns; and resilience against sharp declines, he said.

Users can get a report card-style grade of their portfolio by connecting their investment accounts or manually inputting their stakes into the service, which is free; a $29 per month “Gold” account adds personalized investment recommendations and an AI assistant.

“We will give you very specific financial advice, we will tell you to buy this stock, or ‘Here’s a mutual fund that you’re paying too much in fees for, replace it with this,'” Harmsen said.

“It could be simple stuff like that, or it could be much more complicated advice, like, ‘You’re overexposed to changing inflation conditions, maybe you should consider adding some commodities exposure,'” he added.

Global Predictions targets people with between $100,000 and $5 million in assets — in other words, people with enough money to begin worrying about diversification and portfolio management, Harmsen said.

The median PortfolioPilot user has a $450,000 net worth, he said.  

The startup doesn’t yet take custody of user funds; instead it gives paying customers detailed directions on how to best tailor their portfolios. While that has lowered the hurdle for users to get involved with the software, a future version could give the company more control over client money, Harmsen said.

“It’s likely that over the next year or two, we will build more and more automation and deeper integrations into these institutions, and maybe even a Gen 2 robo-advisor system that allows you to custody funds with us, and we’ll just execute the trades for you.”

‘Massive shake up’

PortfolioPilot uses ChatGPT to develop personalised investment portfolios

The company’s rise has attracted regulatory scrutiny; in March, the Securities and Exchange Commission accused Global Predictions of making misleading claims in 2023 on its website, including that it was the “first regulated AI financial advisor.” Global Predictions paid a $175,000 fine and changed its tagline as a result.

While today’s dominant providers have been rushing to implement AI, many will be left behind by the transition to fully automated advice, Harmsen predicted.

“The real key is you need to find a way to use AI and economic models and portfolio management models to generate advice automatically,” he said.

“I think that is such a huge jump for the traditional industry; it’s not incremental, it’s very black or white,” he said. “I don’t know what’s going to happen over the next 10 years, but I suspect there will be a massive shake up for traditional human financial advisors.”

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Treasury Yields Rise as Fed Cut Expectations Shift

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Treasury Yields Rise as Fed Cut Expectations Shift

Fixed-income markets recorded significant re-pricing during the week ending July 25, 2026, as a convergence of strong labor market metrics and surging energy costs drove U.S. Treasury yields higher across all maturities. The benchmark 10-year Treasury yield climbed toward 4.70%, reaching its highest point in several months. Institutional bond investors rapidly adjusted portfolio durations as expectations for near-term interest rate cuts by the Federal Reserve faded in response to inflation concerns.

The upward shift in sovereign yields reflects a broader fundamental reassessment of global monetary policy. Earlier in the quarter, money markets had priced in a series of rate reductions designed to support economic activity. However, with initial jobless claims falling to 187,000 and crude oil breaching $100 per barrel, fixed-income traders are pricing in a ‘higher-for-longer’ interest rate environment. The inversion between short-term Treasury bills and long-term bonds narrowed, indicating a shift toward term premium expansion.

Rising Treasury yields present both challenges and opportunities for institutional wealth managers. While commercial lenders and mortgage origination volumes face headwinds from elevated borrowing costs, fixed-income investors are locking in attractive real yields on high-quality sovereign and investment-grade corporate bonds. Institutional debt issuers, conversely, are recalibrating their capital structures, opting for shorter-term refinancing instruments or private credit facilities to avoid committing to elevated long-term coupon rates.

Navigating the current bond market landscape demands strict duration management and credit selection. Wealth advisors recommend maintaining flexible fixed-income allocations, combining short-duration Treasuries with inflation-protected securities (TIPS) to shield capital against potential energy-driven inflation spikes while earning dependable nominal income.

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Finance

Private Credit Expansion Transforms Corporate Loans

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Private Credit Expansion Transforms Corporate Loans

Private credit markets reached a pivotal milestone during the week ending July 25, 2026, as non-bank direct lending consortiums captured a record share of middle-market corporate debt originations. With commercial banks maintaining conservative credit standards and public bond yields remaining elevated, corporate borrowers are increasingly turning to private fund managers for customized capital solutions. This expansion marks a permanent structural shift in enterprise finance, establishing private credit as a primary pillar of institutional corporate liquidity.

The acceleration of private credit deals is driven by speed, deal certainty, and flexible terms. Unlike traditional syndicated bank loans that require lengthy underwriting, credit rating approvals, and public roadshows, private direct lenders can structure tailored financing packages within days. Middle-market firms facing upcoming debt maturities are utilizing private debt facilities to execute recapitalizations, strategic acquisitions, and growth capital deployments without risking execution delay in public markets.

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Finance

Tokenized Debt Shifts How Corporate Manage Short Term Liquidity

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Tokenized Debt Shifts Corporate Liquidity

The landscape of institutional debt markets is undergoing a profound structural shift on July 21, 2026, as major corporate issuers and commercial banks rapidly accelerate the deployment of tokenized debt instruments. Data published by leading capital market consortiums indicates that primary issuances of digital commercial paper and tokenized corporate bonds have reached record volumes this month. By moving legacy debt origination, underwriting, and secondary distribution onto permissioned distributed ledgers, corporate treasurers are unlocking unprecedented operational flexibility and instantaneous cross-border liquidity.

The adoption of tokenized debt is fundamentally altering how enterprise balance sheets manage short-term liquidity needs. Traditional corporate bond settlement cycles historically required multi-day clearing processes involving numerous intermediaries, custodial entities, and clearinghouses. Through programmable smart contracts on distributed ledgers, issuers can now execute atomic settlement—enabling continuous, 24/7 access to institutional capital pools. This instantaneous clearing mechanism drastically reduces counterparty risk, eliminates costly settlement friction, and allows treasury teams to dynamically optimize working capital in real time.

A major catalyst driving this institutional migration is the establishment of comprehensive digital asset regulatory frameworks across major financial hubs. Clear legal guidelines regarding ledger-based securities ownership have provided institutional compliance officers with the regulatory confidence necessary to transition multi-billion-dollar liquidity facilities onto digital platforms. Furthermore, the integration of automated regulatory reporting directly into token smart contracts simplifies ongoing compliance audits, ensuring that secondary market trades automatically enforce investor accreditation limits and tax withholding requirements.

For chief financial officers and institutional portfolio managers, tokenized debt represents a fundamental evolution in fixed-income strategy. Companies that embrace ledger-based debt structures gain direct access to a broader, global base of digital-native institutional investors while substantially reducing borrowing overhead. As ledger interoperability continues to improve across global exchanges, tokenized debt is poised to become the standard infrastructure for global corporate finance.

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