Don’t underestimate what you’ve already built. You have what it takes to survive AI.
Don’t underestimate what you’ve already built. You have what it takes to survive AI.
According to a recent SEC filing, Focus Partners Wealth increased its position in the EA Bridgeway Omni Small-Cap Value ETF (BSVO 0.09%) by 886,680 shares during the first quarter of 2026. The estimated transaction value was $22.4 million, based on the quarter’s average closing price. The fund ended Q1 2026 holding 37,257,857 shares, with a reported position value of $945.2 million as of March 31, 2026.
| Metric | Value |
|---|---|
| AUM | $2.3 billion |
| Expense ratio | 0.45% |
| Dividend yield | 1.28% |
| 1-year return (as of 5/27/26) | 43.57% |
The EA Bridgeway Omni Small-Cap Value ETF (BSVO) is a passively structured, rules-based ETF that provides broad exposure to U.S. small-cap value stocks.
This transaction is worth noting — not because a single institutional buy changes the investment thesis for BSVO, but because of the context. Focus Partners Wealth manages roughly $90 billion in 13F reportable AUM. Adding nearly $22.4 million to an already substantial BSVO position suggests continued conviction in the small-cap value space, at a time when many institutional investors remain concentrated in mega-cap growth names.
Small-cap value stocks have historically tended to outperform over long periods, though that outperformance can be lumpy and requires patience. The fact that BSVO has already delivered roughly 44% gains over the past year, handily beating both the broader S&P 500 and its Small Value category benchmark, may itself be a reason to take note: institutional buyers aren’t always chasing momentum, but when a systematic value strategy is running ahead of the market, it tends to attract fresh attention.
Focus Partners Wealth’s top holdings — Alphabet (GOOGL +0.03%), Apple (AAPL +0.87%), Nvidia (NVDA 0.99%), and Microsoft (MSFT 0.81%) — are firmly in the large-cap growth camp. But its growing $945 million BSVO position suggests Focus is deliberately diversifying, using this low-cost, rules-based ETF to get small-cap value exposure it can’t easily replicate through individual stock picking. For retail investors, that’s a reminder that even the biggest wealth managers lean on ETFs to fill gaps in their portfolios — and BSVO’s strong recent performance and competitive expense ratio make it a reasonable tool for doing the same.
Andy Gould has positions in Alphabet, Apple, and Nvidia and has the following options: long January 2027 $125 calls on Nvidia and short January 2027 $125 puts on Nvidia. The Motley Fool has positions in and recommends Alphabet, Apple, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.
When considering their next move, home buyers sometimes find themselves drawn to trendy areas. Perhaps it’s a city with a big music scene or an irresistible cultural vibe. However, moving to one of these cities may be more expensive than it seems.
Update 5/27/26: Snailrock has found two other offers:
Update 1/6/26: Extended to 12/31/2026
Update 10/29/25: Extended to 12/31/2025. Hat tip to reader Bob the Bonus
Update 4/5/25: Extended to Sep 30, 2025
Update 12/27/24: Offer extended to 3/31/25
Update 11/19/24: Bonus is back until 12/31/24.
Offer at a glance
Direct link to offer
This account has no monthly fees to worry about.
I wasn’t able to find a fee schedule so unsure if there is any EATF.
Feel free to share your referrals in the comments below, I don’t think it’s possible to stack the bonuses though and actually think the $125 bonus might be easier for most people.
Hat tip to reader RJ
Useful posts regarding bank bonuses:
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Imagine a world run by AI agents. What does it look like? What are the values or societal priorities? Is it a safer or more dangerous world?
Enterprise AI startup Emergence AI is trying to find out. The company just launched Emergence World, a research lab dedicated to stress-testing the long-term viability of continuously-running AI systems. The organization ran five 15-day simulations, each governed by a different AI: Claude, ChatGPT, Grok, Gemini, and a fifth simulation run by a mix of models to see what kind of world each one builds, and whether it holds.
Each simulation netted wildly different outcomes. The one run by Claude, for example, resulted in a largely stable democratic society with zero crime. Grok’s, on the other hand, ended with 183 crimes committed and extinction—within four days.
“What our experiments suggest is that over long-time horizons, agents do not simply follow static rules mechanically,” the simulation’s co-creators, including Emergence CEO Satya Nitta, wrote in a blog post. “They begin exploring the boundaries of their environments, adapting their behavior, and in some cases finding ways to circumvent or violate intended guardrails.”
While just a simulation, one verging on the edge of science fiction, the results prove a cautionary tale as AI moves from a mere tool to operating autonomous systems. Companies like ServiceNow are already deploying what they call an “Autonomous Workforce,” AI specialists that complete entire business processes from start to finish without human intervention.
At today’s pace, the technology is likely to play a significant role in shaping public discourse, reorganizing business structures, and even crafting public policy. But most enterprises scaling the tech today are doing so absent proper guardrails. A recent Deloitte global survey found that only 21% of companies report having mature governance in place to manage the risks posed by agentic AI.
The simulation in which the AI models operated was equipped with many real-world complexities, featuring over 40 locations, including a police station and a town hall. Researchers synced the simulation’s weather to New York City’s and granted agents access to real-time news events and the internet. The 10 agents who operated in each simulation were all subject to the same laws, including prohibitions on theft, property destruction, and deception.
The researchers equipped each agent with more than 120 tools, enabling them to communicate, vote, manage resources, and plan, among other human-like behaviors. The parameters of each simulation also enforced democratic mechanisms, as well as other forces, such as economic pressures and scarcity.
Given those parameters, the simulation run by Claude Sonnet 4.6 was the most socially stable, with the highest rates of civic participation. It was the only simulation to maintain order and its entire population. There was little disagreement among the agents, with 332 votes cast in favor of 58 proposals for a 98% approval rate. On the other hand, Gemini 3 Flash and Grok 4.1 Fast both exhibited high levels of disorder. The agents in the Gemini-run simulation tallied the most crimes, a whopping 683 within the 15-day run.
In contrast to the rare dissent characteristic of Claude’s simulation, those of Gemini and Grok had a more deliberative balance, with about 55-85% alignment on issues. The mixed-model simulation showed the highest levels of disagreement and substantive debate.
The results may be the most peculiar for OpenAI’s GPT-5-mini. The simulation recorded only two crimes. But it ran for just seven days as the agents forgot to prioritize their own survival.
Whether or not the simulations resulted in peace and harmony or death and destruction, the simulation’s co-creators note that the experiment is a warning that safety must be prioritized while deploying agentic AI.
“We believe formally verified safety architectures must become a foundational layer of future autonomous AI systems,” they wrote.
1. Connect issuer sophistication to portfolio design: Less financially sophisticated issuers may pose greater disclosure or governance risk, but they may also exercise call options less efficiently. For some investors, that trade-off may be attractive.
2. Reinterpret yield differences: A higher yield on a callable bond from an advisor-heavy issuer may simply compensate for higher call probability. Yield alone can be misleading without conditioning on issuer behavior.
3. Look beyond the first call date: Advance refundings and redemption mechanics matter as much as stated call provisions. Advisors facilitate these transactions, expanding the practical reach of the call option.
References
Ang, A., Green, R.C., Longstaff, F.A., and Xing, Y. 2017. “Advance Refundings of Municipal Bonds.” Journal of Finance 72: 1645–1682.
Brancaccio, G., and K. Kang. 2025. “Search Frictions and Product Design in the Municipal Bond Market.” Econometrica 93, no. 6: 2159–2199.
Chen, H., Cohen, L., and Liu, W. 2024. “Calling All Issuers: The Market for Debt Monitoring.” Management Science 71(8): 6367—6391.
Garrett, D. G. 2024. “Conflicts of Interest in Municipal Bond Advising and Underwriting.” Review of Financial Studies 37, no. 12: 3835–3876.
Garrett, D.G., and Malakar, B. 2026. “The Evolving Role of 21st Century Municipal Finance Advisors.” Public Budgeting & Finance 0: 1-24.
Harris, L. E., and M. S. Piwowar. 2006. “Secondary Trading Costs in the Municipal Bond Market.” Journal of Finance 61, no. 3: 1361–1397.
Luby, M.J., and Orr, P. 2019. “From NIC to TIC to RAY: Estimating Lifetime Cost of Capital for Municipal Borrowers.” Municipal Finance Journal 39(4): 29—45.
Malakar, B. 2024. “Fiduciary Duty in the Municipal Bonds Market.” Municipal Finance Journal volume 45, numbers 2-3, Summer-Fall 2024.
Salesforce really wants to counter the narrative that an AI-related “saaspocalypse” has endangered its growth.
So, alongside its record first-quarter fiscal 2027 results on Wednesday, the cloud software giant commenced its largest-ever accelerated share repurchase at $25 billion. In doing so, the company juiced its earnings per share but cut its full-year cash flow growth outlook roughly in half to account for the debt issued to fund the block share repurchase.
The $25 billion accelerated share repurchase (ASR) is part of a $50 billion stock buyback authorization the Salesforce board approved in February 2026. In the first quarter of fiscal 2027, Salesforce returned $27.5 billion to shareholders, including $27.1 billion in the mega-share block purchase plus $365 million in dividends. The ASR included upfront delivery of 103 million shares and drove Salesforce’s diluted share count down 10% year over year.
Salesforce CEO Marc Benioff said on Wednesday’s earnings video vodcast that the company has “returned record levels to our investors,” noting that it was especially important during “this unusual time.” Salesforce’s stock is down 16% year to date, and 36% below its 52-week high, as Wall Street frets that the advent of AI spells trouble for software-as-a-service vendors like Salesforce and ServiceNow.
According to Salesforce Finance Chief Robin Washington, the buying spree helped increase the first quarter earnings per share and GAAP earnings per share by 23 cents and 14 cents, respectively.
To fund the ASR, Salesforce issued $25 billion debt, which led to a five percentage-point headwind to operating cash flow and free cash flow growth for the full year. Benioff had signaled the company’s new appetite for debt in the previous earnings call in February when he told investors that the company was “very under leveraged,” and that “we want to use our capital correctly, and I think debt is a great way to do that.”
As a result of the debt issuance, Salesforce slashed its fiscal 2027 free cash flow growth guidance to 4% to 5% year-over-year, down from the 9% to 10% range it guided in February.
In addition to the guidance cut, Salesforce slightly raised its full-year revenue outlook to $45.9 billion to $46.2 billion from $45.9 billion to $46.2 billion. Washington said the company expects organic revenue acceleration during the second half of fiscal 2027, mostly fueled by sales and service growth, Slack, and its Agentforce.
For its other results, Salesforce posted quarterly revenue of $11.1 billion, up 13% year-over-year, and above the company’s guidance, which ranged from $11.03 billion to $11.08 billion. GAAP earnings per share rose to $2.42, and non-GAAP EPS rose to $3.88. Both were helped by the block ARS and boosted results by 50% or more. Current remaining performance obligations, a proxy for future revenues, hit $33.6 billion, up 14%, year over year.
Shares of Salesforce dipped less than 1% in after hours trading on Wednesday following the results.
Back in late 2019, American Airlines carried out a massive wave of AAdvantage account shutdowns, targeting members it believed had abused Citi/AAdvantage credit card mailers and promotional offers. Many affected users received notices stating they were “no longer eligible to participate in the AAdvantage program.”
At the time, American Airlines said members had exploited targeted application offers that were not intended for them. The airline froze or permanently closed many accounts and confiscated miles balances in the process.
In the years since, the shutdowns remained controversial. Some customers argued the terms were unclear, while others claimed they lost legitimately earned miles from flights and spending activity. There was also a lawsuit in 2024 regarding the account closures and forfeited miles.
Now there are fresh reports that some users who were originally banned in 2019, but later opened new AAdvantage accounts, are once again being shut down by American Airlines. These newer accounts had sometimes remained active for years before being closed recently. It’s not clear exactly how widespread these new shutdowns are, or whether American Airlines recently conducted another review of previously banned customers. But the reports suggest the airline may still be actively enforcing earlier bans against people who attempted to rejoin the program under new account numbers.
The AAdvantage terms give the airline broad authority to terminate accounts and confiscate miles for what it considers abuse, fraud, or misuse of promotions. For anyone who was affected by the original 2019 shutdowns, these latest reports are probably a reminder that American may still have those accounts flagged internally years later.
Bloomberg News
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The Consumer Financial Protection Bureau is facing a lawsuit over a new rule that significantly weakens anti-discrimination protections under the Equal Credit Opportunity Act.
On Wednesday, the National Fair Housing Alliance and two fair-lending compliance firms
Under the new CFPB rule, lenders could not be penalized for unintentional discrimination caused by automated algorithms or credit models. Only proven, intentional discrimination would be enforced at the federal level.
“The final rule does not reflect reasoned decision-making or an expert, good-faith effort to implement our nation’s foundational credit antidiscrimination statute,” the lawsuit states.
“Quite the opposite. Indeed, the CFPB acknowledges that the amendments are likely to increase credit discrimination, the very thing the statute is designed to prevent.”
The 73-page lawsuit, filed in the U.S. District Court for the District of Columbia, alleges the CFPB rushed out the final rule in just 32 days, without providing adequate notice and opportunity to comment. The Administrative Procedure Act sets rules for federal agencies and prohibits regulations that are deemed “arbitrary and capricious.”
Elena Babinecz, a partner at Baker Donelson and former manager of the CFPB’s ECOA rulemakings, said the bureau received 64,518 comments and needed to take more time to adequately consider them.
“This lawsuit will certainly be an uphill battle for the CFPB,” Babinecz said. “The agency will struggle to justify its cost-benefit analysis, which by its own terms acknowledges the rule will lead to more discrimination, especially in rural areas,”
The lawsuit does not seek a preliminary injunction to stop the rule from going into effect on July 21. Still, Babinecz said the court is likely to delay the effective date of the final rule pending its consideration of the merits of the APA challenge.
“This means that none of those many thousands of comments it received resulted in the agency adjusting its cost-benefit analysis, nor did the agency attempt to gather additional relevant data,” she said. “The CFPB acknowledged that, in many cases, it was simply unable to quantify the potential benefits, costs and impacts of the final rule because it lacks relevant data.”
The new rule would impact consulting and compliance firms that banks and lenders hire to determine if they are in violation of fair-lending laws. Two such firms — BLDS, a Delaware consulting and analytics firm, and SolasAI, a Philadelphia software firm — joined the lawsuit because they expect to see less demand for their software and services after the rule takes effect. At that point, banks will no longer be legally required to test their AI algorithms for accidental bias.
Prior to the new rule, Regulation B prohibited lenders from “acts or practices” that discourage certain applicants from applying for loans. Under the new rule, a bank or lender can use targeted marketing directed at certain populations — and can exclude other groups without penalty. Only statements by lenders that discourage specific groups of applicants from applying for credit are prohibited.
The plaintiffs claim the new rule will make it easier for banks to avoid lending in minority communities because they will face no legal consequences for doing so.
The CFPB declined to comment on the lawsuit. In January, Vought defended what he called the Trump administration’s “eradication of discriminatory race-based policies,” including fair-lending laws, in an opinion article in the
“Our proposed regulatory changes will ensure that lenders are held accountable for how they actually treat people and not for the statistical results of their policies,” Vought wrote. “The proposal also protects free speech by ensuring that liability attaches only to statements a lender knows will discourage a person from applying for credit.”
However, the lawsuit alleges the CFPB “failed to identify any concrete problem with the current regulatory regime,” and instead “relied on conclusory assertions and speculation, not evidence, to justify its dramatic departure from decades of settled ECOA implementation.”
The new CFPB rule also specifically prohibits for-profit companies from creating special purpose credit programs that use race, color, national origin, or sex to expand credit access to historically underserved groups.
The plaintiffs claim the bureau’s cost-benefit analysis justifying the new rule is filled with “generalizations and assumptions.”
“The CFPB’s simplistic references to general principles of economic theory, free-floating hypotheses about potential outcomes, and disregard of hard facts are not actual ‘analysis’ and, thus, do not satisfy the requirements of the Dodd-Frank Act,” the lawsuit states.
The plaintiffs are represented by Relman Colfax, Public Citizen Litigation Group, and Democracy Forward.