The Week Wall Street Ran Two Separate Races

On Monday, May 11, three of America’s most-watched indices — the S&P 500, the Nasdaq Composite, and the Dow Jones Industrial Average — closed simultaneously at record highs. By Friday, the party was over for tech, with Nvidia shedding 4.4% and Intel retreating more than six percent in a single session, as Treasury yields spiked and traders remembered that gravity is still a law. Yet even in that churn, a clear list of winners emerged: companies levered to artificial intelligence infrastructure, geopolitically sensitive energy, and a rearming defence sector. Here are the ten US stocks that mattered most this week — and why.

Context: A Market at an Altitude It’s Never Seen Before

The S&P 500 achieved its seventh consecutive weekly gain as of May 11, with the index sitting at 7,412.84. Information Technology, Communication Services, and Consumer Discretionary led sector performance, while the rally was notably narrow — the equal-weight S&P significantly underperformed its cap-weighted counterpart, pointing to concentration in a handful of mega-cap names. Tradingkey

Underneath that headline number, the macro picture is genuinely complicated. First-quarter 2026 real GDP grew at an annualised rate of 2.0%, driven primarily by business investment in AI-related equipment and software, while consumer spending grew at a slower 1.6% pace. The Federal Open Market Committee held the federal funds rate steady at 3.5% to 3.75% at its April meeting, even as Jerome Powell concluded his tenure on May 15 and Kevin Warsh took over as Fed Chair. Oil is the wild card in the room: Brent crude surged 2.9% to above $104 per barrel on May 11 after President Trump described the US-Iran ceasefire as “on life support,” rekindling inflation fears. Tradingkey + 2

The market, in other words, is running two separate races. One is the AI infrastructure buildout, where capital expenditure is still accelerating. The other is a geopolitical energy trade that is increasingly testing consumer resilience. The ten stocks below sit at the intersection of both.

The Top 10 US Stocks Profitable This Week

These are not predictions. They are a snapshot of where market energy, earnings momentum, and institutional conviction converged during the week of May 12–19, 2026.

1. Rackspace Technology (RXT)

The week’s most dramatic story belongs to a company that was written off as a legacy data-centre casualty two years ago. Rackspace Technology surged over 165% in May on the back of hyperscaler partnerships and AI infrastructure capacity expansion, with strong Q1 results and an upgraded full-year outlook triggering a wave of short-covering and institutional buying. Analysts have upgraded the stock to Buy with price targets above $15. It’s a small-cap proxy on the same AI infrastructure theme powering the giants — but with the volatility that comes with a fraction of their market cap. Tradingkey

2. Nvidia (NVDA)

Nvidia reached its all-time high of $236.54 on May 14, 2026, with a market capitalisation of $5.46 trillion as of this week. Every number that matters is pointed upward. In fiscal year 2026, Nvidia’s revenue hit $215.94 billion — a 65.47% increase year-on-year — with earnings of $120.07 billion. The company reports Q1 fiscal 2027 results on May 20. What Jensen Huang says about the forward demand picture may matter more than the print itself. TradingViewStockAnalysis

3. Alphabet (GOOGL)

Alphabet has been the single biggest engine of the S&P 500’s 2026 rally, contributing 1.27 percentage points to the index’s return — more than 20% of the index’s total gain from one name alone. Google Cloud demand is accelerating, Gemini is gaining traction in the enterprise market, and the market is finally giving Alphabet credit for its custom AI chips — TPUs — as a credible alternative to Nvidia’s GPUs. The stock recently leapfrogged Apple for the number two spot by global market capitalisation. ETF.com

4. Arista Networks (ANET)

Arista reported Q1 2026 revenue of $2.71 billion against a consensus of $2.62 billion, representing 35% year-on-year revenue growth, with net income rising to $1.02 billion from $813.8 million. The company raised its full-year 2026 revenue guidance to $11.5 billion. Microsoft, Meta, Alphabet, and Amazon have guided combined capital expenditure above $320 billion for 2026, and every dollar of that spend on GPU clusters eventually flows through the ethernet switching market that Arista dominates. StockAnalysisGotrade

5. Broadcom (AVGO)

Broadcom sits second only to Alphabet in its contribution to the S&P 500’s 2026 gains, adding 0.6 percentage points from an average index weight of just 2.8%. Its custom AI silicon partnerships with Google, Meta, and other hyperscalers give it a structural position in the AI supply chain that is less visible than Nvidia’s but no less valuable. ETF.com

6. Innodata (INOD)

Innodata posted triple-digit gains in May on the back of AI data annotation contracts with large-language-model developers. It’s a pick-and-shovel play on the one input that every AI model needs before it can generate a single token: high-quality labelled training data. With frontier model labs locked in an arms race, demand for that service isn’t slowing. Tradingkey

7. Fluence Energy (FLNC)

Fluence Energy soared close to 30% in the week after HSBC and Roth Capital both upgraded the stock following fiscal second-quarter EBITDA that topped Wall Street estimates — the stock had already rocketed roughly 40% the prior session. AI data centres are power-hungry at a scale that demands grid-scale battery storage solutions. Fluence, which sells exactly that, is riding the intersection of energy demand and AI infrastructure. CNBC

8. Lockheed Martin (LMT)

Lockheed Martin was among the week’s gainers as renewed US-Iran tension kept WTI crude near $105 per barrel, with markets pricing in increased Pentagon outlays for Middle East uncertainty and sustained great-power competition with China. The company announced a quarterly cash dividend of $3.45 per share with an ex-date of June 1. In a week where growth stocks slid on Friday, LMT offered something that few technology names can: a reason to hold that doesn’t depend on the next earnings beat. Tradingkey

9. RTX Corporation (RTX)

The same geopolitical current lifted RTX. The energy sector was the sole sector to post gains on Friday, May 15, rising 1.6%, while defence names including RTX benefited from the market pricing in higher Pentagon spending tied to Middle East friction and the broader US military posture. RTX’s exposure to both the missile stockpile-replenishment cycle and the commercial aerospace aftermarket gives it two separate earnings engines — a rare structural advantage in an uncertain macro environment. Tradingkey

10. P3 Health Partners (PIII)

The month’s most extreme mover. P3 Health Partners posted the highest monthly gain of any NYSE or Nasdaq stock in May 2026, with a rise of 285%. The managed-care company’s surge is event-driven, tied to Medicare Advantage contract developments and a reassessment of its financial trajectory. It is also exactly the kind of move that attracts momentum traders, which can amplify both the upside and the eventual correction. Stocktitan

The Structural Story Behind the Numbers: Why Are These Stocks Really Moving?

Is the AI stock rally sustainable heading into the second half of 2026?

The AI rally’s staying power ultimately rests on one question: are the hyperscalers getting returns on their capital expenditure, or are they building infrastructure that will take years to monetise? The evidence so far favours optimism — cautiously. With approximately 89% of S&P 500 companies having reported Q1 results, the index showed year-on-year revenue growth of 10.4% and earnings growth of 25.3%. Those are not the numbers of a market hallucinating its own prosperity. Tradingkey

Yet the rally’s narrowness is a legitimate concern. When Alphabet alone accounts for more than a fifth of the S&P 500’s total 2026 return, portfolio concentration has moved from a feature to a risk. The market’s gains have been described by analysts as narrow, with the equal-weight S&P significantly underperforming its cap-weighted version — a sign that broader market participation has not kept pace with mega-cap appreciation. CNBC

Featured snippet answer — What are the top performing US stocks this week? The top performing US stocks for the week of May 12–19, 2026 include Rackspace Technology (RXT), Nvidia (NVDA), Alphabet (GOOGL), Arista Networks (ANET), Broadcom (AVGO), Innodata (INOD), Fluence Energy (FLNC), Lockheed Martin (LMT), RTX Corporation (RTX), and P3 Health Partners (PIII). Their gains are driven by AI infrastructure demand, rising defence spending, and geopolitical oil premiums from the ongoing Iran conflict.

The second structural driver — energy and defence — is less discussed but may prove stickier. The Strait of Hormuz carries roughly 20% of global oil and LNG supply, and geopolitical scenarios around the US-Iran ceasefire have become materially priced into markets, with WTI trading near $105 per barrel. That’s not a trade; it’s a repricing of geopolitical risk that could persist for months. Tradingkey

Implications and Second-Order Effects

The week’s price action carries downstream consequences that go well beyond the tick-by-tick narrative.

First, Nvidia’s May 20 earnings report will function as a referendum on the entire AI supply chain. Consensus estimates for the report point to continued data centre revenue growth exceeding 60%, and a beat-and-raise result would likely sustain the infrastructure buildout trade across chips, networking, and cloud computing names. A miss, or a conservative guide on data centre demand, would reprice not just NVDA but Arista, Broadcom, and the broader semiconductor ecosystem simultaneously. As the TradingKey analysis put it bluntly: every AI trade next week is binary to that print. Tradingkey

Second, the spike in 30-year Treasury yields — which jumped above 5.1% on Friday, May 15, the highest since May 2025 — introduces a genuine valuation headwind for long-duration growth assets. Higher yields compress the present value of future earnings. For companies like Arista and Broadcom, whose valuations embed years of high-growth assumptions, that compression isn’t trivial. The bond market, in other words, is not convinced that the AI story justifies current multiples. CNBC

Third, the energy premium from the Iran situation is starting to attract the attention of recession forecasters. Dan Niles, founder of Niles Investment Management, told CNBC on May 15 that ten of the last twelve recessions were preceded by an oil price spike, and that the Federal Reserve’s ability to cut rates could be compromised by oil’s inflationary effect. Traders now lean toward rate hikes as the Fed’s next move — a reversal of expectations that would represent a significant tightening of financial conditions for the consumer. CNBC

For investors in defence stocks like LMT and RTX, the implications are more favourable. Pentagon budgets tend to expand under geopolitical pressure regardless of the broader economic cycle, and the current administration’s posture toward both Iran and China suggests a multi-year tailwind that doesn’t depend on any single quarter’s earnings surprise.

The Bear Case Deserves a Hearing

Not everyone is reading the rally’s signal the same way.

Michael Burry drew attention this week by comparing the Philadelphia Semiconductor Index’s trajectory — up more than 10% in a single week, with 2026 gains reaching 65% — to the run-up that preceded the technology collapse of March 2000. The comparison is inexact: the current semiconductor cycle is underpinned by real revenue growth rather than projected eyeballs. Still, the pace of the move has concentrated enough wealth in a narrow band of names to make a reversal systemically significant. CNBC

The sceptics also point to the rally’s engine. Alphabet’s outsized contribution to S&P 500 returns is, structurally, the same problem the index had in 2020–21 with a different name at the top. Single-name concentration at the index level means passive investors are more exposed to Alphabet’s fortunes than they may realise — and more exposed to any negative development in the EU’s regulatory approach to Google’s AI integration or its search dominance.

There’s a third concern: the retail investor sentiment data suggests that individual traders have been buying heavily into the top momentum names. The SPDR S&P Retail ETF fell more than 6% across the week of May 12–16, its fourth consecutive weekly decline, as investors grew cautious on the consumer backdrop and discretionary spending. A divergence between the market that Wall Street trades and the economy that Main Street inhabits is not indefinitely sustainable. CNBC

That said, earnings remain the ultimate arbiter. With year-on-year earnings growth across the S&P 500 running at 25.3%, the fundamental case for current valuations is more defensible today than it was in early 2000 — when many of the index’s leaders were pre-revenue concepts dressed up as infrastructure plays. Tradingkey

Closing

The ten stocks that led the market this week are not a random collection of fortunate names. They are a map of where capital is flowing in 2026: into the infrastructure of artificial intelligence, into the energy markets shaped by geopolitical fracture, and into the defence complex of an America that is visibly rearming. Whether that map remains accurate depends on what Nvidia says Wednesday evening, what Kevin Warsh signals about the rate path, and whether WTI can stay above $100 without breaking the consumer who ultimately funds all of it.

The week offered a sharp reminder that the best-performing stocks are rarely the whole story. The energy sole sector that rose on Friday while technology fell was not a coincidence. It was a rotation — provisional, perhaps, but pointed. In markets running at this altitude, what leads one week can lag the next. The investors who’ll do well in the second half of 2026 won’t be the ones who bought the top of the momentum list. They’ll be the ones who understood why each stock was on it.

The rally is still alive. The questions are just getting harder.

A growing number of experts argue that many companies blaming artificial intelligence for job cuts are masking more familiar financial and strategic pressures.

The headlines arrive with the grim predictability of a recurring nightmare. In March 2026, the outplacement firm Challenger, Gray & Christmas reported that U.S. employers had announced 60,620 job cuts, a sharp 25 percent jump from the previous month. And the designated villain? Artificial intelligence, which was cited as the leading reason for a quarter of those layoffs. 

A few weeks later, Snapchat’s parent company announced it was axing 1,000 employees — a full 16 percent of its global workforce — citing the “rapid advancements” in AI.  The messaging was clear: the robots aren’t just coming; they’re already here for our desks. But this narrative, as compelling as it is terrifying, demands a hard second look.

If generative AI is still plagued by reasoning gaps, prone to confident hallucinations, and so expensive to integrate that a Harvard Business Review study found it often increases workloads rather than reducing them, how can it be responsible for a white-collar bloodbath?  The uncomfortable truth is that for many corporations, AI has become the perfect alibi — a high-tech fig leaf for decidedly old-fashioned financial pressures.

Welcome to the era of “AI-washing.”

🎭 The AI Alibi: A Convenient Scapegoat

The practice of using a trending technology to justify unpopular decisions is nothing new. In the early 2000s, it was “synergy.” In the 2010s, it was “big data.” Now, the magic word is AI. OpenAI CEO Sam Altman, whose company is arguably the chief architect of this revolution, has been the most prominent voice calling out the charade.

In recent months, Altman has accused numerous companies of “AI-washing” — blaming artificial intelligence for large-scale layoffs they were planning to make anyway.  He’s not alone. Economists and strategists increasingly argue that firms are pointing to AI to rationalize workforce reductions that are really about past over-hiring or the need for massive cost-cutting. 

This isn’t just a semantic debate. It’s a deliberate obfuscation of reality. When a CEO stands before shareholders and blames a 40 percent headcount reduction on “intelligence tools,” it sounds futuristic and unavoidable — a force of nature rather than a management choice.

🤖 The Reality Gap: Why AI Isn’t Ready for Primetime (as a Terminator)

To understand the scam, you have to look at the technology’s real-world performance. For all its dazzling demos, the AI of 2026 is a prodigy with profound limitations.

First, there’s the Productivity Paradox. A February 2026 analysis in the Harvard Business Review, citing Gartner data, found that AI layoffs are currently outpacing actual productivity improvements in many companies.  An ongoing study published by HBR revealed that AI tools aren’t reducing workloads; instead, they appear to be intensifying them, creating a deluge of “workslop” — low-effort, AI-generated output that shifts cognitive work onto human colleagues. 

Second, there are the Integration Costs. Adopting AI isn’t like installing a new app. It requires massive infrastructure investment, data restructuring, and constant human oversight to prevent catastrophic errors. Amazon, for all its AI hype, found itself in a comical yet telling situation in 2026, cutting jobs even as its own employees complained that their daily work consisted largely of “fixing AI’s error codes.” 

Finally, the Skills Mirage remains a stubborn hurdle. A staggering 85 percent of employees report that the AI training they receive does not help them apply the technology to their actual jobs.  You can’t replace a workforce with a tool that most of your existing workforce doesn’t know how to use.

📉 The Real Drivers: Old-Fashioned Capitalism

So if AI isn’t the executioner, what is? The answer lies in three classic corporate pressures dressed up in new clothing.

1. The Post-Pandemic Over-Hiring Correction 🩹
Silicon Valley went on a hiring spree during the COVID-19 boom, adding tens of thousands of employees. From 2022 to 2024, tech firms globally cut more than 700,000 positions.  Many of the 2026 cuts are simply the tail end of that brutal but necessary correction — a fact that is far less sexy to explain than “the AI revolution.”

2. The Investor Signaling Game 📈
Here is the cynical magic trick: announce a major AI-driven restructuring, and your stock often goes up. Block, Jack Dorsey’s fintech firm, slashed 40 percent of its workforce — roughly 4,000 people — in a single day, explicitly citing AI.  The result? Block’s shares surged.  Wall Street loves efficiency, and nothing says “efficiency” like replacing expensive humans with algorithms. This creates a perverse incentive for executives to exaggerate AI’s role, regardless of the technological reality.

3. Funding the AI Capex Arms Race 💰
This is the most important driver. Building the “AI future” is catastrophically expensive. Amazon raised its capital expenditure guidance to a staggering $125 billion in 2026, much of it for AI infrastructure.  Oracle is reportedly planning to cut up to 30,000 jobs — the single largest tech layoff of the year — partly to help pay for its massive AI data center build-out.  The layoffs aren’t a result of AI’s success; they are the funding mechanism for its future.

🕵️‍♂️ Case Studies: The Great AI Masquerade

Let’s pull back the curtain on four prominent examples from early 2026.

• Block (40% cut): CEO Jack Dorsey bluntly stated that AI allowed the company to operate with “smaller teams.”  While plausible, this massive reduction in a profitable fintech looks more like a strategic pivot to boost margins than a sudden realization that AI has rendered 4,000 roles obsolete overnight.
• Amazon (30,000+ cuts): The e-commerce giant has framed its largest-ever reduction as an “AI-driven efficiency effort.”  Yet, context is key. This is the same company that went on a pandemic hiring frenzy. While AI plays a role in warehouse automation, the scale of the cuts is far more aligned with a return to leaner operational norms.
• Atlassian (1,600 cuts): The Australian software giant was explicit, announcing a 10 percent reduction to “rebalance” the company and “self-fund” its AI investments.  Notice the language — “self-fund.” The layoffs are a source of capital, not a symptom of labor redundancy.
• Pinterest (15% cut): The social media platform tied its restructuring directly to a shift toward AI.  But for a company that has struggled with user growth and profitability, this is a classic restructuring move — downsizing and cost-cutting — with an AI bow tied on top.

🌍 Global Stakes: The Productivity Paradox and a Skills Chasm

The implications of this AI-washing extend far beyond quarterly earnings calls. The World Economic Forum’s 2026 gathering in Davos was dominated by debates over whether AI will be a net job creator or destroyer.  The consensus, such as it is, suggests a messy middle ground: AI will automate tasks, not entire jobs, but the speed of transition is the real threat. Gartner data showed that less than 1 percent of layoffs in 2025 were actually due to AI productivity gains.  The fear, therefore, is outstripping the reality.

This creates a dangerous policy vacuum. Policymakers from Washington to Brussels are scrambling to craft social safety nets and retraining programs for an AI apocalypse that hasn’t truly arrived yet, while ignoring the immediate pressures of inflation and corporate consolidation. Meanwhile, the legitimate AI skills gap widens. As companies freeze hiring for entry-level roles that AI might soon handle, they are starving their own pipelines of the junior talent needed to learn, manage, and deploy those very systems. 

🔮 The Future is Honest Conversation

None of this is to say that AI won’t eventually transform the workforce. It will. The McKinsey Global Institute estimates that human-AI collaboration could unlock nearly $2.9 trillion in annual economic value in the U.S. alone by 2030.  But that is a future possibility, not a current reality.

The “AI replacement” narrative of 2026 is, for the most part, a useful fiction. It allows CEOs to conduct painful restructurings with a veneer of technological inevitability. It allows investors to cheer rising profits without confronting the human cost. And it allows everyone to ignore the boring, difficult work of building a more resilient and fairly compensated workforce in the face of real, if slower-moving, change.

The next time you read about a mass layoff blamed on AI, do one thing: read the fine print. Look for the words “restructuring,” “rebalancing,” “cost-cutting,” and “investment.” More often than not, you’ll find that the robots aren’t the ones holding the pink slips. It’s just the same old business cycle, wearing a very clever mask.

They mocked bad leadership on air, survived a gag-order attempt from the century-old HR establishment, and turned podcast banter into books, training platforms, speaking gigs, and seven-figure personal brands. The lesson for every would-be creator is brutally simple—and profitable.

Picture the scene: three women who have never met in person before squeeze into a pop-up church inside a strip mall in Atlanta, Georgia, over Memorial Day weekend 2023. They are all seasoned HR veterans—an employment attorney turned corporate culture critic, a meme-lord chief officer of workforce absurdity, and a General Counsel who once coached executives at McKinsey not to be, as she memorably puts it, “assholes.” They record eight podcast episodes back to back. Eight weeks later, HR Besties debuts at number six on Apple Podcasts’ business chart. The century-old Society for Human Resource Management, keeper of the sacred scrolls of corporate best practices, eventually tries to keep the hosts from discussing one of the biggest HR stories of the year in open court. The effort fails spectacularly. The podcast, meanwhile, keeps climbing.

This is a story about what happens when the people who are supposed to protect a broken system decide, instead, to describe it out loud—and monetize the reaction.

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The Problem With “Best Practices” (And Why a Podcast Fixed It)

There is a peculiar irony at the heart of the HR profession. No industry produces more earnest guidance on psychological safety, inclusive leadership, and anti-retaliation policy than Human Resources. And no industry has historically been more reluctant to practice what it preaches in public.

This is the gap that HR Besties identified and exploited with a precision that any McKinsey consultant would quietly admire. Leigh Elena Henderson (@hrmanifesto), Jamie Jackson (@humorous_resources), and Ashley Herd (@managermethod) are not outsiders lobbing critiques from a safe distance. They are former insiders—a trio with combined CVs spanning BigLaw, McKinsey & Company, Yum! Brands, General Counsel offices, and executive HR leadership. What they bring to the podcast microphone that their white-paper-writing peers cannot is a willingness to say, on the record, what the rest of the profession only says on Signal chats and in airport lounges after the conference keynote.

The show is structured like a recurring staff meeting—because the joke works, and because it is also a genuine act of service for the millions of workers who have sat through exactly this meeting and found it soul-destroying. There is an agenda. There are “Qs and Cs” (questions and comments). There is a hard stop. What fills the time in between is a rotating menu of workplace horror stories, dissections of cringey corporate-speak, hot HR news, and enough dry wit to classify the episode as a controlled substance in several jurisdictions.

The combined social following of the three hosts exceeds 3.5 million across platforms, and Ashley Herd’s personal community alone has crossed 500,000 professionals. As Leigh Henderson herself observed early in the show’s run: “As an HR exec, here I am coaching executives one-by-one not to be assholes. Imagine the impact now of 100+ million of reach monthly across my accounts.” That is not a vanity metric. That is a distribution advantage that no SHRM conference could ever replicate.

Why the SHRM Gag-Order Drama Was the Best Marketing Money Can’t Buy

In December 2025, a Colorado jury delivered a verdict that landed in the HR world like a live grenade at a compliance training session. SHRM—the Society for Human Resource Management, the world’s largest HR organization with 340,000 members—was ordered to pay $11.5 million in damages to Rehab Mohamed, a former instructional designer who alleged that SHRM fired her shortly after she filed a racial discrimination complaint. The jury awarded $1.5 million in compensatory damages and a staggering $10 million in punitive damages—a quantum typically reserved for conduct the jury found especially egregious.

The irony was almost too rich to consume without choking. The organization that trains and certifies HR professionals on anti-discrimination and investigation best practices had violated Section 1981 of the Civil Rights Act of 1866—a statute so old it predates the telephone. The investigator SHRM assigned to Mohamed’s discrimination complaint, trial testimony revealed, had never investigated a discrimination claim before. SHRM CEO Johnny C. Taylor Jr., who testified that he played no role in Mohamed’s termination, later described the $11.5 million verdict to reporters as “a blip in the history of SHRM.”

Eleven and a half million dollars. A federal civil rights finding. And the CEO called it a blip.

But here is where the story turns into a masterclass in how institutional defensiveness generates earned media that money cannot buy. Before the trial began, SHRM’s legal team asked the court to bar Mohamed from introducing evidence about SHRM’s status as an HR authority—essentially arguing that the fact that SHRM positions itself as the nation’s foremost HR expert should be inadmissible and kept away from the jury’s ears. U.S. District Judge Gordon P. Gallagher denied the motion, ruling that SHRM’s expertise in human resources was “integral to the circumstances of this case and cannot reasonably be excluded.”

The HR Besties hosts discussed the trial with the same granular attentiveness they bring to every episode. They walked listeners through what the filings meant, what the verdict signaled, and—without softening their conclusions—what they thought of SHRM’s response. Ashley Herd posted on LinkedIn that all HR leaders should be paying attention, calling the case “a reminder of why processes and conversations matter—and how easy it can be for ‘best practices’ to not actually be followed in real life.” In a subsequent episode, she framed SHRM as “a wonderful case study on the impact and importance of leadership.” The word wonderful did considerable heavy lifting there.

The episode did what all great journalism does: it helped an audience make sense of something important, and it did so without protective euphemism. The listener numbers, predictably, rose.

This is the contrarian insight at the core of the HR Besties phenomenon: in a profession built on the management of other people’s reputations, being openly, specifically honest about institutional failure is the rarest and most valuable thing you can offer. The audience that pours into your feed is not looking for validation of the party line. They are looking for someone who will finally say what they already know.

How Three Side Hustles Built a Media Empire—Without Quitting Their Day Jobs

The architecture of what Leigh, Jamie, and Ashley have constructed is more strategically sophisticated than the “just start a podcast” narrative suggests, and it is worth disaggregating carefully for any entrepreneur who wants to replicate it.

Each host was already running a separate, revenue-generating business before HR Besties launched. This is not incidental. This is the entire thesis. The podcast, as Jamie Jackson has said with characteristic bluntness, generates six-figure revenue split three ways, primarily through sponsored conference sessions and select brand partnerships—not traditional CPM advertising. As Jackson puts it: “Podcast ad revenue on its own is an expensive hobby. It’s like pennies on the dollar.” The pod is not the product. The podcast is the audience magnet.

Consider the individual orbits:

Leigh Henderson (HRManifesto) launched her TikTok account after being fired from an executive HR role—a fact that gave her content an authenticity that no brand consultancy could engineer. Her HR Manifesto platform has become a destination for workers seeking frank counsel on navigating corporate culture.

Jamie Jackson (Humorous Resources / Millennial Misery / Horrendous HR) is, by her own description, a “self-proclaimed Chief Meme Officer.” Her interconnected social accounts, which aggregate the absurdities of corporate life into formats that travel with viral velocity, function as a top-of-funnel operation of remarkable efficiency. Memes cost nothing to produce and are shared by everyone who has ever sat through a mandatory fun event.

Ashley Herd (Manager Method) has built what is arguably the most scalable revenue operation of the three. A former employment attorney, General Counsel, and Head of HR with experience at McKinsey and Yum! Brands, Herd has trained over 300,000 managers through LinkedIn Learning and corporate contracts. In early 2026, The Manager Method was published by Penguin Random House—a full-length book that translates her social content into a B2B training asset deployed at the enterprise level. Her Manager 101 course serves organizations ranging from boutique firms to Fortune 500 companies. HR Besties itself is consistently cited as a Top 10 Business Podcast on both Apple Podcasts and Spotify—a positioning that functions as a permanent credential on every speaking deck and proposal deck Herd submits.

The structure here is not accidental. It is precisely what the most durable creator businesses look like: a free, high-reach media property that builds trust and audience at scale, feeding into a portfolio of higher-margin products—courses, books, keynote fees, corporate training contracts, sponsored conference appearances. The podcast is marketing. The businesses are the revenue.

Edison Research’s Infinite Dial reports consistently show that podcast listeners are among the most educated, highest-income, and most brand-loyal audiences in media. The HR professional demographic that HR Besties captures skews toward exactly the kind of buyer that corporate training vendors, HR tech platforms, and conference organizers will pay handsomely to reach—not in thirty-second pre-roll ads, but in integrated, trusted-voice sponsorships where the endorsement carries real weight.

The Besties Playbook: 5 Rules for Turning Truth-Telling Into Revenue

The HR Besties story, stripped to its structural logic, yields a replicable framework. Not for podcasters specifically—but for any knowledge worker sitting inside a broken system who suspects that describing the breakage clearly and publicly might actually pay.

Rule 1: Start where the stakes are genuinely low. Every Bestie began on social media, in newsletters, or in micro-experiments where failure is private and success compounds publicly. Leigh launched a TikTok after being let go. Jamie built meme pages. Ashley began teaching on LinkedIn Learning. None of them started with a podcast studio, a publisher, or a venture investor. The algorithm is forgiving of early content; institutional gatekeepers are not.

Rule 2: The podcast is not the business. The podcast is the proof. In an era of content saturation, a podcast functions as a weekly demonstration of expertise, chemistry, and trustworthiness. What it rarely does, on its own, is generate meaningful revenue. The Besties understood this faster than most. The real economics live in the corporate training contract, the speaking fee, the book advance, the course subscription, the sponsored panel at a major HR conference where 5,000 decision-makers are in the room.

Rule 3: Radical candor is a competitive moat. Gallup’s 2024 State of the Global Workplace report found that only 23% of employees globally are engaged at work. The other 77% are quietly desperate for someone in a position of authority to acknowledge what they already experience every day. HR Besties monetizes that desperation—not cynically, but productively. The audience does not pay directly; they pay with attention, loyalty, and word-of-mouth distribution that no advertising budget can replicate.

Rule 4: Never quit the day job until the side hustle pays more. This is the rule that most aspiring creators violate, and it is the reason most aspiring creators fail. The financial security of existing revenue removes the desperation that makes content worse—the willingness to take any sponsor, soften any opinion, or avoid any story that might irritate a paying customer. The Besties had thriving individual businesses before the podcast launched. That independence is encoded in every frank observation they make on air.

Rule 5: Treat institutional controversy as a growth event. When SHRM’s pre-trial motion to exclude evidence of its own HR expertise was denied, and when the $11.5M verdict landed, the Besties did not hedge. They analyzed. The institutional controversy became content. The content became listens. The listens became evidence of authority that compounds in Google rankings, speaking proposals, and media coverage. The lesson: the moment a powerful institution notices you enough to push back, you have arrived. Respond with facts, not fury. Let the audience draw the obvious conclusion.

The Global Lens: Why This Model Travels (and Where It Gets Complicated)

The workplace candor economy is not a purely American phenomenon, though America has been its most fertile initial habitat. In the United Kingdom, a similar appetite for honest workplace commentary has produced a cluster of employment law podcasters and LinkedIn voices who critique what HR professionals there diplomatically call “people risk.” In Australia, the Fair Work Act’s complexity has generated entire media micro-businesses built on explaining what the legislation actually does versus what employers tell workers it does.

The European market is trickier. Works councils, co-determination rights, and powerful unions mean that the “HR horror story” genre often implicates legal frameworks that require more careful navigation than an American podcast’s disclaimer provides. That said, the underlying human experience—the bad manager, the sham investigation, the performance improvement plan deployed as a managed exit—is not culturally specific. It is a universal feature of hierarchical organizations, from Munich to Mumbai.

In Asia, particularly in markets where professional culture emphasizes deference to institutional authority, the HR Besties model is more disruptive still. A Seoul or Singapore equivalent would require more structural anonymity and would likely emerge first in newsletter format before migrating to audio. But the demand is there: Microsoft’s 2024 Work Trend Index found that 68% of workers globally say they don’t have enough uninterrupted focus time, and distrust in management communication is a consistent finding across every geography surveyed.

The insight travels. The execution requires local calibration.

Why Corporate Podcasts Keep Failing (And Why HR Besties Doesn’t)

It is worth dwelling on the specific failure mode that the Besties have avoided, because it claims nearly every podcast that a corporation, trade association, or brand has ever launched. Call it the authenticity tax.

According to Spotify’s 2024 Culture Next report, younger listeners in particular have a finely calibrated detector for managed messaging. When a podcast sounds like its hosts are working from approved talking points—which is to say, when it sounds like a press release delivered in a conversational register—audiences simply do not return after episode three. The corporate podcast fails not because the production is poor or the topics are wrong, but because the hosts are not allowed to be honest. The audience can tell.

HR Besties succeeds for precisely the inverse reason. The hosts are not employees. They have no communications department reviewing their scripts. When Ashley Herd says that the SHRM case is a reminder of how easily best practices fail to be followed in real life, she is saying it as someone who has personally seen dozens of similar failures from the inside, who has no institutional motive to protect SHRM’s reputation, and who has a professional reputation built on the quality of her analysis rather than the safety of her conclusions.

This is what brands mean when they describe “authentic content”—and why they almost never succeed in producing it. Authenticity is not a style. It is a consequence of incentive structures. You cannot hire your way to it.

The AI and Quiet-Quitting Coda: Why Candid Workplace Media Is Just Getting Started

The environment into which HR Besties has launched and grown is, by any historical measure, an unusual one. The quiet-quitting discourse of 2022 has matured into something more structural: a durable, widespread renegotiation of the psychological contract between employers and employees. McKinsey’s 2024 American Opportunity Survey found that more than a third of workers report having left a job due to lack of flexibility, with workplace culture cited as a primary driver of turnover at a rate that has not declined meaningfully since the post-pandemic spike.

Into this environment, AI is arriving as both a tool and a threat. For HR Besties, the AI story is complicated in genuinely interesting ways. On one hand, automation is generating a new wave of workplace anxiety—layoffs justified by “efficiency,” roles redefined or eliminated, performance management increasingly driven by algorithmic outputs that workers cannot interrogate. This is excellent podcast material, and the Besties have covered it accordingly. On the other hand, AI-generated content is flooding every search engine and social platform with text that is technically accurate, structurally competent, and completely devoid of the specific, opinionated, lived-experience texture that makes the Besties’ content valuable.

The competitive moat, in other words, is widening—not because AI content is bad, but because human credibility, earned through years of real institutional experience, is becoming rarer relative to the volume of content being produced. Ashley Herd’s ability to walk an audience through exactly why SHRM’s performance management process in the Mohamed case represented a failure of basic HR practice is not replicable by a language model. It requires having been, personally, the person in that room. Jamie Jackson’s instinct for which absurdity will go viral requires years of immersion in the specific cultural substrate of corporate American workplace life. Leigh Henderson’s authority on what HR executives are actually feeling is inseparable from her career history.

In a media environment that is becoming increasingly automated, the thing that the Besties are selling—honest, specific, credentialed, risk-tolerant human voice—may be the scarcest resource of all.

The Brutally Simple Lesson

Here is what the HR Besties story actually teaches, stripped of sentiment: a willingness to be radically honest—no matter the professional risk—is what they are ultimately selling. Not HR expertise. Not humor. Not the parasocial warmth of a group chat you’ve always wanted to be part of. All of those things are real, and all of them matter. But the underlying product is candor, offered consistently and with credentials.

The business model that grows from that candor is not mysterious. Start with free, high-reach, low-stakes content. Build an audience that trusts your judgment. Convert that trust, gradually and selectively, into products and services that the audience would pay for anyway—training, books, consulting, speaking, events. Never let any single revenue stream become so large that losing it would require you to soften your opinions. Stay independent enough to remain honest.

The Edison Research Infinite Dial 2024 report estimates that monthly podcast listeners in the United States alone have now crossed 135 million—a number that has more than doubled in a decade. The market for candid, expert-led workplace commentary is enormous and still underserved. SHRM’s rocky 2025—the $11.5 million verdict, the removal of “equity” from its DEI framework, the invitation of anti-DEI activist Robby Starbuck to speak at its diversity conference—has, if anything, accelerated the appetite for voices that will say clearly what the institution will not.

Three women in an Atlanta strip-mall church figured this out in May 2023. The rest of the professional media world is still catching up.

The Manager Method, Ashley Herd’s book on practical leadership frameworks, was published by Penguin Random House in 2026 and is available here. The HR Besties podcast publishes new episodes every Wednesday and Friday at hrbesties.com.