A new co-host joins from the hosts' Chicago Stock Exchange circle. Sol introduces herself as a presenter on the new streaming network One Lucky Dog, noting her friendship with the hosts dates back to the Chicago Stock Exchange and joking that she's the one person who can "manage" Tom.
Lost Dog's pitch: a quantitative "number" for what you should be paid. Scott Sheridan says the platform will apply the same quantitative financial modeling the pair used in trading to benchmark individual workers' pay against their market value, rather than what they're currently paid.
He frames the launch around a widening pay gap, without citing data. Sheridan says that over the past few decades, top salaries have risen "infinitely faster" than middle or bottom pay, but offers no figures or sourcing for the claim.
Lost Dog pitches itself as replacing minimum wage and equal-opportunity law. Tom Sosnoff frames pay bias as a problem historically addressed through minimum wage, equal-opportunity laws, and social safety nets, and argues quantitative modeling is a better fix — without describing how the model would work.
Morehead argues the existence of thousands of other cryptocurrencies doesn't undermine Bitcoin's monetary-debasement case. He compares it to how, of 118 elements, people settled on gold (element 79) to store wealth; Bitcoin, with a 15-year track record and over 300 million users, has already won the "digital gold" use case among roughly 25,000 competing tokens.
He frames Bitcoin as a deflationary currency against continuous fiat debasement, predicting it stays an invisible payment rail rather than a visible price tag. He notes it now takes 340 paper pound-sterling notes to buy a pound of sterling silver, and expects people will rarely see prices quoted directly in Bitcoin even as it becomes usable for things like school fees.
Morehead argues blockchain assets have low correlation to risk assets because institutions hold essentially zero exposure. When portfolios broadly de-risk, he says, there's simply no crypto to sell, unlike other asset classes that became correlated after everyone adopted similar modern-portfolio-theory allocations.
He predicts blockchain becomes a standard institutional asset class within a decade, similar to how commodities and emerging markets gained that status. He forecasts institutions holding 8–10% of assets in blockchain by 2030, up from roughly zero today and about 2% even at the most thoughtful endowments.
Sosnoff frames Lost Dog as trading-style "quantitative leverage" applied to pay. He describes moving from 25 years building brokerages (thinkorswim, tastytrade) to this new venture as carrying over the same analytical approach, now aimed at the wage gap and wealth inequality, without specifying a mechanism.
Lost Dog's chief AI engineer repeats the November launch and fairness pitch. Zhou Jiajun describes Lost Dog as a Chicago startup founded by Thinkorswim and Tastytrade's founders, aiming to make labor compensation fairer by adding "leverage" to pay — without detailing the mechanism.
Lost Dog's lead product manager repeats the pay-gap pitch, in French. Younes Bichra introduces himself and names Sosnoff and Sheridan as Chicago's successful founders of Thinkorswim and Tastytrade, framing the company's goal as making sure "everyone is paid at their true value."
The same Chicago Stock Exchange presenter repeats her pitch, in Spanish. Sol describes joining Tom and Scott as a host on the new streaming network, One Lucky Dog, framing its mission as bringing "economic justice" to workers.
Ferguson sees a geopolitical echo of Nixon's 1972 opening to China, but with the roles reversed. China is now the senior partner and Russia the junior one in what he calls the "axis of authoritarians," with Xi and Putin meeting more often than any two world leaders — making a Nixon-style wedge strategy against Russia unworkable, as the failed Alaska summit showed.
He predicts Trump will instead pursue a summit with Xi, possibly in Beijing next year, over Taiwan and semiconductors. He forecasts Trump will "milk" the visit on television and social media much as Nixon did in 1972.
Ferguson calls the current era a new "Gilded Age," arguing the AI capex boom is propping up the entire US economy. He says data center investment is so dominant that without it there would be little underlying growth, drawing a parallel to the 1890s railroad capex boom that preceded the financial crisis of 1893.
He is watching for an "1893 moment" when markets could decide the AGI payoff behind hyperscaler spending won't materialize. Such a panic, he says, would at minimum force a repricing of the hyperscalers currently funding that spending.
Stock Tok$Flash Buy - Picking Up This Stock That Just Broke Out...Again
Ferguson says the dollar and gold, not equities, are the more telling signals right now. The dollar is down roughly 8–9% since Trump's inauguration — modest by historic standards — while gold's record highs reflect investors effectively betting on negative real rates and further dollar weakness.
He frames the key choice as between a benign 1980s-style outcome and a "nightmare" rerun of 1970s stagflation. The good scenario, which he says is what Treasury Secretary Bessent wants, pairs dollar weakness with rising growth and contained inflation, echoing the 1985 Plaza Accord; the bad one is why he says smart investors have wanted to hold both gold and Bitcoin over the past five years.
Lait argues US recession risk is underpriced. He points out cyclical consumer stocks are trading at premium multiples on the assumption of a quick earnings recovery, even though weaker consumers have been under pressure for roughly two years with high youth unemployment and social unrest — and he believes the US would already be near recession without heavy stimulus and AI-related investment propping up growth.
Lait argues the missing ingredient in fundamental equity investing today is patience. He says short-term price moves are now driven more by mechanistic, passive fund flows than by fundamental traders, so capturing real value requires building a portfolio that can wait five, ten, or even fifteen years for returns to show up.
Wood pushes back on the view that Ethereum will eventually surpass Bitcoin. She argues Bitcoin plays three distinct roles — a rules-based global monetary system, a layer-one blockchain technology never hacked, and the founding instance of an entirely new asset class — that Ethereum does not replicate.
She says Ether still matters within DeFi, though layer-2 networks are capturing a disproportionate share of fees. This raises an open question, she says, of whether competition among too many layer-2s like Coinbase's Base will eventually push value and importance back to the Ethereum layer-1 itself.
Wood expects robotaxis to be "winner take most" rather than winner-take-all, with the US as the largest market. She cites US ride costs of $2–8 per mile versus roughly 35 cents per mile in China as the reason the US opportunity is bigger.
She bets Tesla beats Waymo despite Waymo's earlier 2018–19 commercial launch. Tesla's vertically integrated manufacturing and nine-sensor, vision-only stack is cheaper than Waymo's 23-sensor hardware, which depends on other automakers, and she projects Tesla's self-driving will be roughly 10 times safer than a human driver within a few years, nearly matching that already.
Wood argues founder-led companies are essential in the current period of rapid technological change. She sides with Musk and Zuckerberg's skepticism toward "governing by consensus," arguing consensus only works when the world isn't changing quickly.
She calls Musk the greatest innovator alive today, recalling she made the same claim publicly back in 2015. That was shortly after founding her own company, and she says the years since have proven her right.
Morrissey argues some DEI initiatives became counterproductive, developing jargon that made people feel policed rather than included. She says this left people afraid to speak freely, even as she maintains the underlying business case — that half the world's talent is women and diverse backgrounds bring valuable ideas to the table.
She sees the current moment as an opportunity for DEI to "evolve" toward more genuine inclusion. She explicitly rejects the idea that it should be a zero-sum game of replacing one demographic with another.
Morrissey's career advice inverts the usual saying to "leap before you look." She argues that in her experience, especially among women, people look too long and never take the chance, and that she knows far more peers who regret not trying something than who regret trying and failing.
Her investing advice draws on Kipling's "If": keep your head while others lose theirs. She says that means avoiding panic in fearful moments and hubris when things go well, while staying alert for the rare moment worth seizing — which she says is how her own career was made.
Stock Tok$Blowoff Top Becoming More Clear + 2 Stocks To Buy
Clegg argues the UK has "overdone" restrictions on free speech. He cites reporting that police make around 30 arrests a day for online speech offenses under statutes passed before the internet "fully flourished," while acknowledging some of the speech involved is genuinely "egregious" or "ugly."
He positions himself as a classical, "Gladstonian" liberal rather than a right-wing partisan on the issue. He argues progressives on both sides of the Atlantic — most prominently in the US — have lost their "north star" on free expression over the last 10 to 15 years.
Clegg argues the US-China AI competition won't be settled by one decisive "knockout blow." He says Silicon Valley and Washington seem to assume the US can simply outspend China in AI the way it outspent the Soviet Union in the Cold War, but he sees no equivalent "Berlin Wall moment" or AGI "Eureka" given how dispersed AI technology is and how capable China remains.
He contends the close alignment of US political and commercial power now resembles the pattern long criticized in China's own system. He argues Silicon Valley and DC will eventually need to abandon a "belligerent America first" posture of tariffs and insults in favor of working in partnership with allies.
Truss says it's impossible to know whether being a woman specifically makes politics harder. She argues factors like background and class are just as hard to disentangle from how politicians are treated.
She expresses no sympathy for Chancellor Rachel Reeves, blaming her for reversing Truss's own policies. She argues Reeves and Starmer abandoned the low-tax, pro-fracking, deregulation agenda she pursued, pointing to gilt yields now higher than during her own time in office, a worse economy, rising debt, and what she calls a coming "calamity."
Truss credits the Labour government's early US trade deal. As a former UK trade secretary who negotiated with the first Trump administration over whiskey tariffs, she says Starmer's government secured a deal with Trump before the EU did, showing the benefit of acting nimbly.
She argues Trump's bespoke dealmaking has strengthened US leverage over the EU. She says Trump upended the World Trade Organization and the broader global trading system, and that the EU — after threatening retaliatory tariffs — has had to "suck it up," reflecting a shift in relative economic power toward the US that didn't exist 30 years ago.
Mellon says AI and better batteries have made robots autonomous and mobile. AI now lets robots learn human-like tasks such as gently picking fruit, while improved batteries let them move freely and recharge themselves instead of staying plugged into the grid.
He predicts robots will eventually outnumber humans on the planet. He cites a Morgan Stanley forecast of 39% compound annual growth in robotics through 2040, expects more robots than people by 2050, and says he'd rather invest in robotics than in the Mag 7.
Lee says Fed independence is critical because its decisions move markets instantly. He expects the administration ultimately won't interfere substantively with the Fed chair's term, even if public friction over policy continues as noise.
Lee predicts Ethereum will overtake Bitcoin in network value. He argues Ethereum's "fat protocol" layer becomes more valuable as real-world assets are tokenized on it — a market he says dwarfs gold's $21 trillion size — while Bitcoin's use case remains as a store of value.
Sonders sees complacency at the index level but broadening participation beneath it. She points to August's best-performing sectors and factors being the prior seven months' worst performers, alongside stronger showings from equal-weight versus cap-weighted indexes and further down the market-cap spectrum.
She argues individual investors don't need mega-cap concentration to perform well. She notes that this year you'd have to go to the 37th-ranked performer to find a Magnificent Seven stock, and says that matters more for individuals than for institutions, which are benchmarked quarterly against the S&P.
Sonders says retail traders have flipped the "dumb money" label this year. She says retail buy-the-dip behavior since the April 9 low forced institutions to reposition, including covering shorts, making retail the smarter money in this stretch.
McDonald compares the AI capex race among hyperscalers to the US shale boom. He says institutional investors who were bullish on Meta a year ago have since flipped, likening today's overspending to the shale industry's 2010–2014 arms race, where companies overspent on capex to avoid appearing weak before eventually becoming disciplined, lower-debt, cash-generating businesses — a path he expects tech to repeat over the next decade.
McDonald says the AI buildout makes this cycle more commodity-bullish. He points to a $2 trillion AI capex binge requiring roughly another $2 trillion in power-grid and energy infrastructure, plus added demand from rebuilding Ukraine, Los Angeles, and Gaza.
He sees a high probability of a near-term copper shortage. He likens it to an "OPEC 1970-style" shortage a year or two out, attributing it to a decade-plus of politically suppressed copper exploration colliding with rebuild-driven demand.
Stock Tok$Critical Stock Market Update + Not getting stopped out as often
Peterffy says censorship in socialist Hungary shaped his view of capitalism. Barred from current information and limited to classic authors like Dickens, Balzac, and Zola, he says those books taught him that a successful business succeeds by meeting people's needs better and more cheaply than competitors.
Peterffy says he saw Trump's tariff logic as rational, not destructive. He says institutional investors misread Trump in an "echo chamber" of panic, while he argued publicly on April 6 — which turned out to be the market's low point — that the sell-off was the greatest buying opportunity of his lifetime.
He says he isn't worried about a pullback despite the rally. He expects "smooth sailing" for the market for some time to come.