Artificial Intelligence

Chris Galipeau discusses high-conviction insights that go beyond media headlines.

The AI capital expenditure cycle remains solidly on track to eclipse the telecom boom of the late 1990s and become the largest investment cycle since the railway buildout of the 19th century in inflation-adjusted terms. T

Fixed income markets continue to adjust to an evolving policy backdrop following last week’s Federal Reserve meeting.

While long-term interest rates have been trending higher driven by a combination of persistent inflation, Fed uncertainty and geopolitical conflict, earnings growth this year has been very strong. If the trend continues, earnings could continue to help equity markets outpace rising interest rate and inflation risks.

The AI trade has faced renewed volatility as investors question AI spending and current valuations. Semiconductor stocks and related areas — including memory, networking, photonics, and chip equipment—have all been caught in the pullback.

AI may support more than operational efficiency. When thoughtfully integrated into an advisory practice, AI can create additional capacity for proactive advice, client engagement and business development.

There is no one-size-fits-all individual investment strategy. We all have different needs. Once I decided I needed a portfolio that would work for today, I became convinced that a dividend growth portfolio should be the core of my long-term investment strategy. Not an addition, but the core.

Two things are worth considering that will dramatically impact the stats moving forward, and neither of them existed as a factor a generation ago. Alternatives to a four-year degree are getting more government support too. Workforce Pell Grants, once reserved for traditional colleges, now extend to short-term job-training programs.

US 10-year Treasury yields have climbed roughly 50-basis points since the start of 2026. This is not an inflation scare. Despite the sharp rise in energy prices following the outbreak of war with Iran, market-based measures of medium-term inflation expectations have drifted lower.

The S&P 500 was flat in July 2026 as semiconductors fell 29%, energy gained nearly 13% on higher oil, and long-term Treasury yields reached their highest levels since 2007.

Investors remain cautious despite bullish positioning, as rotations curb speculation while record margin debt and high equity allocations raise longer-term risks.

As many of you know, our team at Smead Capital Management has studied the thinking and investment careers of Charlie Munger and Warren Buffett. In today’s Go-Go artificial intelligence-dominated stock market, we’d like to walk you through the concept of the Circle of Competence.

In this article, Russ Koesterich explains how the recent market rotation has pressured tech stocks while creating an attractive long-term buying opportunity.

Investors are warming to systematic processes in bond markets. In this new approach, a dynamic multifactor process drives the investment decisions, using predictive factors with demonstrable links to outperformance.

Discover why higher Treasury yields, strong ETF demand, and active management are creating new opportunities in muni bonds for advisors.

Reflecting on the first half of 2026 provides a clear roadmap to strategize for the remainder of the year. Before that can occur, however, it’s imperative to check the pulse on the current state of the market and posit what may happen next.

In the span of a few weeks, a new college student takes on loan debt, gets their first credit card offer, and starts managing daily expenses on their own. They're buying groceries, splitting costs with roommates, saying yes to things they probably can't afford yet. No other period of life throws that many financial decisions at someone with that little experience.

On Wednesday afternoon the Federal Reserve held interest rates steady for a fifth consecutive meeting, and stocks buckled: the Dow fell 1,153 points, its worst day since April of last year.

Only about 20–25% of financial Advisors have a formal, documented succession plan, despite the fact that more than a third, managing roughly 40% of industry assets, plan to retire within the next decade. That gap is more than a retirement problem.

By repeatedly describing standard inflation gauges as “imperfect measures of underlying inflation,” Federal Reserve Chair Kevin Warsh has pushed a long-running technical debate into the center of the policy conversation: What is the best way to measure underlying inflation?

This year has offered a vivid reminder of how quickly market conditions can shift—from policy uncertainty, to a sharp geopolitical shock, to a focus on an AI-driven rally. As the themes of the day changed, the case for an overlay persisted.

July 2026 was a flattish month for markets. The S&P 500 index was down slightly. Value did well, while momentum did poorly. Smallcaps, midcaps, and emerging markets, all of which have been the year’s best performers, had a bad month. Commodities, driven largely by oil prices, led the pack, as the fragile ceasefire in Iran failed to hold.

The greatest danger posed by AI is not the technology itself, but the race to deploy it before we know how to control it. The recent Hugging Face breach shows how seemingly minor human errors can be amplified by AI, underscoring the risks of treating safety as an afterthought.

The numbers are in, and the story of ETF adoption goes on undeterred. In July, ETFs saw their third month this year of asset inflows exceeding $190 billion. If 2025 was a record-breaking year for ETF asset creation, 2026 is promising to upstage it.

Many of the most critical components of AI infrastructure are produced by a small and increasingly consolidated group of highly specialized companies.

While the Fed left interest rates unchanged, Treasury yields moved notably higher throughout the week, with 30-year yields eclipsing their highest levels in nearly two decades as investors reassessed the outlook for inflation and monetary policy. The S&P 500 ended 1.06 percent higher to close a volatile week of trading, recovering from a mid-week sell-off.

LPL Research highlights strong corporate earnings, AI-driven growth, and a favorable equity outlook while monitoring inflation, oil prices, and risks.

July was an eventful month for both domestic and international markets, with US-Iran tensions flaring up, increasing energy prices and changing investor expectations for the Federal Reserve (Fed) cutting rates.

The financial markets expected the Federal Reserve to leave interest rates unchanged at its recent meeting, and it did just that. However, three members of the FOMC dissented, voting to raise rates by 25bps in an effort to combat stubbornly high inflation.

The Federal Reserve’s preferred gauge of price inflation is set for a methodological update, as the Bureau of Economic Analysis (BEA) is expected to implement revisions to its price index for Personal Consumption Expenditures (PCE) as early as September.

This summer has offered little opportunity for a lull. Investors have contended with Federal Reserve (Fed) policy uncertainty, renewed tariff-driven inflation concerns, escalating tensions in the Middle East, questions about the durability of AI-related investment spending and a packed earnings calendar.

The market spent much of this week trying to interpret what Fed Chair Kevin Warsh meant rather than what he actually said and that was entirely avoidable. The decision to leave rates unchanged was defensible. What wasn’t defensible was Warsh’s lack of explanation.

Just as important, the dollar and U.S. Treasuries have continued to behave like hedges in periods of broader market unrest (driven by geopolitics or other conditions). When risk assets come under pressure, Treasury yields have generally fallen, or the dollar has tended to find support.

The latest earnings reports from Big Tech have laid bare a growing divide in the market's appetite for massive AI spending.

You spent years building your retirement savings with one goal in mind: having enough to live comfortably when you stop working. The strategy that got you here probably leaned heavily on growth. But as retirement gets closer, that same approach may not be the right one to carry you through it.

In January 1790, the House of Representatives put a simple question to its new Treasury Secretary: what should America make for itself? Alexander Hamilton took almost two years to answer.

S&P 500 companies are turning in their strongest earnings season in five years. And a handful of sectors are doing most of the heavy lifting.

The US economy grew less than expected during the second quarter of the year, up 1.5% quarter over quarter, dragged down by strong growth in imports. However, final sales to private domestic purchasers increased by 3.9%, underscoring the strength in domestic demand, which continues to rely too heavily in AI investment spending and strong spending from high-income consumers, or what has been called the K economy.

Electricity has become a major global focus. It essential to powering the modern economy: regions with capacity will generate growth, while those without adequate supplies may be vulnerable to shocks.

As companies race to capitalize on the AI boom, water security is emerging as a material risk across the value chain. While data centers attract headlines, semiconductor fabrication remains one of the value chain’s most water-intensive activities, requiring reliable supplies of high-purity water.

There are 38% fewer companies listed on U.S. exchanges today than at the peak in the mid-1990s. The forces behind that decline—regulatory burden, the abundance of private capital, and the quiet disappearance of mid-sized public companies—are structural, not cyclical.

Chris Galipeau discusses high-conviction insights that go beyond media headlines.

On Thursday, July 30, Amazon Inc.(AMZN) released its Q2 2026 earnings report. Given its crucial position as a Mag 7 mega-cap straddling both tech and e-commerce, Amazon’s earnings reports are usually closely watched by the broader investing community.

In this video, Chuck Carnevale introduces Charles, the new AI-powered research assistant built into FAST Graphs for Premium subscribers. Charles is designed to help investors research stocks faster, more thoroughly, and with greater confidence—without telling them what to buy or sell.

The AI bear case is worth taking seriously on price and financing. It is not worth taking seriously on demand. Anyone selling you the whole package as a single story, bull or bear, is selling you a mood, not an analysis. The revenue is real. The cash flow is the thing to watch. Price accordingly.

Mega-cap tech stocks have helped large caps dominate small-cap ETF flows and performance for years. However, this year a shift is taking place. In 2026, small-cap index ETFs are outperforming their large-cap peers as the market has broadened out.

Schwab Sector Views is our six- to 12-month outlook for stock sectors, which represent broad sectors of the economy. The Schwab Center for Financial Research (SCFR) combines a factor-based approach with a market and economic assessment to determine the ratings.

As concerns grow about the market’s biggest companies, investors are looking further down the market-cap scale. Mid-cap innovators are drawing more attention because they have more room to grow.

LPL Research explores whether hyperscalers can generate attractive returns on massive AI investments through a framework focused on ROIC, growth, and capex.

Energy markets have reached a precarious moment, with the path of prices over the remainder of the year – and potentially beyond – hinging on two key questions.

In part two of AB’s “Build a Better Path” Disruptor SeriesTM, we shifted from diagnosing the challenge of long-term investing to a potential approach for solving it. With practical, actionable steps, investors have the potential to translate the concept of improving up/down capture into strategies aimed at improving portfolio design.

Cash is king. Not for investors right now, but among the hyperscalers. The craving for capital is high as the AI arms race takes new twists and turns.

Forecasting is always fraught, but geopolitical turmoil makes it especially hazardous. Economic projections are only as reliable as the assumptions behind them, and those inputs can change quickly when conflicts are involved.