It was a crisp evening in San Francisco, the kind of night when the fog rolls in like a curtain call. At the Yerba Buena Center for the Arts, a thousand investors, founders, and journalists gathered for what was billed as “The Future Agents Gala.” The star attraction was not a celebrity CEO but a humanoid robot, dressed in a tailored blazer, capable of negotiating contracts in real time while simultaneously cooking a Michelin-grade risotto.

The crowd gasped as the machine signed a mock term sheet projected on a giant screen, its agentic AI brain linked to a venture capital fund’s API. Champagne flutes clinked, sovereign wealth fund managers whispered in Arabic and Mandarin, and a former OpenAI board member leaned over to me and said: “This is the moment. We’ve crossed the Rubicon. The next tech bubble is already inflating.”

Outside, a line of Teslas and Rivians stretched down Mission Street, ferrying attendees to afterparties where AR goggles were handed out like party favors. In one corner, a partner at one of the top three Valley VC firms confided, “We’ve allocated $8 billion to agentic AI startups this quarter alone. If you’re not in, you’re out.” Across the room, a sovereign wealth fund executive from Riyadh boasted of a $50 billion allocation to “post-Moore quantum plays.” The mood was euphoric, bordering on manic. It felt eerily familiar to anyone who had lived through the dot-com bubble of 1999 or the crypto mania of 2021.

I’ve covered four major bubbles in my career — PCs in the ’80s, dot-com in the ’90s, housing in the 2000s, and crypto/ZIRP in the 2020s. Each had its own soundtrack of hype, its own cast of villains and heroes. But what I witnessed in November 2025 was different: a collision of narratives, a tsunami of capital, and a retail investor base armed with apps that can move billions in seconds. The signs of the next tech bubble are unmistakable.

Historical Echoes

Every bubble begins with a story. In 1999, it was the promise of the internet democratizing commerce. In 2021, it was crypto and NFTs rewriting finance and art. Today, the narrative is agentic AI, AR/VR resurrection, and quantum supremacy.

The parallels are striking. In 1999, companies with no revenue traded at 200x forward sales. Pets.com became a household name despite selling dog food at a loss. In 2021, crypto tokens with no utility reached market caps of $50 billion. Now, in late 2025, robotics startups with prototypes but no customers are raising at $10 billion valuations.

Consider the table below, comparing three bubbles across eight metrics:

The echoes are deafening. The question is not if but when will the next tech bubble burst.

The Three Horsemen of the Coming Bubble

Agentic AI + Robotics

The hottest narrative is agentic AI — autonomous systems that act on behalf of humans. Figure, a humanoid robotics startup, has raised $2.5 billion at a $20 billion valuation despite shipping fewer than 50 units. Anduril, the defense-tech darling, is pitching AI-driven battlefield agents to Pentagon brass. A former OpenAI board member told me bluntly: “Agentic AI is the new cloud. Every corporate board is terrified of missing it.”

Retail investors are piling in via tokenized shares of robotics startups, available on apps in Dubai and Singapore. The valuations are absurd: one startup projecting $100 million in revenue by 2027 is already valued at $15 billion. Is AI the next tech bubble? The answer is staring us in the face.

AR/VR 2.0: The Metaverse Resurrection

Apple’s Vision Pro ecosystem has reignited the metaverse dream. Meta, chastened but emboldened, is pouring $30 billion annually into AR/VR. A partner at Sequoia told me off the record: “We’re seeing pitch decks that look like 2021 all over again, but with Apple hardware as the anchor.”

Consumers are buying in. AR goggles are marketed as productivity tools, not toys. Yet the economics are fragile: hardware margins are thin, and software adoption is speculative. The next dot com bubble may well be wearing goggles.

Quantum + Post-Moore Semiconductor Mania

Quantum computing startups are raising at valuations that defy physics. PsiQuantum, IonQ, and a dozen stealth players are promising breakthroughs by 2027. Meanwhile, post-Moore semiconductor firms are hyping “neuromorphic chips” with little evidence of scalability.

A Brussels regulator told me: “We’re seeing lobbying pressure from quantum firms that rivals Big Tech in 2018. It’s extraordinary.” The hype is global, with Chinese funds pouring billions into quantum supremacy plays. The AI bubble burst prediction may hinge on quantum’s failure to deliver.

The Money Tsunami

Where is the capital coming from? The answer is everywhere.

• Sovereign wealth funds: Abu Dhabi, Riyadh, and Doha are allocating $2 trillion collectively to tech between 2025–2028.
• Corporate treasuries: Apple, Microsoft, and Alphabet are redirecting $1 trillion in cash from buybacks to strategic AI/quantum investments.
• Retail investors: Apps in Asia and Europe allow fractional ownership of AI startups via tokenized assets.

A Wall Street banker told me: “We’ve never seen this much dry powder chasing so few narratives. It’s a venture capital bubble 2026 in the making.”

Charts show venture funding in Q3 2025 hitting $180 billion globally, surpassing the peak of 2021. Sovereign allocations alone dwarf the dot-com era by a factor of ten. The signs of the next tech bubble are flashing red.

The Cracks Already Forming

Yet beneath the euphoria, cracks are visible.

• Revenue reality: Most agentic AI startups have negligible revenue.
• Hardware bottlenecks: AR/VR adoption is limited by cost and ergonomics.
• Quantum skepticism: Physicists quietly admit breakthroughs are unlikely before 2030.

Regulators in Washington and Brussels are already drafting rules to curb AI agents in finance and defense. A senior EU official told me: “We will not allow autonomous systems to trade securities without oversight.”

Meanwhile, retail investors are overexposed. In Korea, 22% of household savings are now in tokenized AI assets. In Dubai, AR/VR tokens trade like penny stocks. Is there a tech bubble right now? The answer is yes — and it’s accelerating.

When and How It Pops

Based on historical cycles and current capital flows, I predict the bubble peaks between Q4 2026 and Q2 2027. The triggers will be:

• Regulatory clampdowns on agentic AI in finance and defense.
• Quantum delays, with promised breakthroughs failing to materialize.
• AR/VR fatigue, as consumers tire of expensive goggles.
• Liquidity crunch, as sovereign wealth funds pull back in response to geopolitical shocks.

The correction will be violent, sharper than dot-com or crypto. Retail apps will amplify panic selling. Tokenized assets will collapse in hours, not months. The next tech bubble burst will be global, instantaneous, and brutal.

Who Gets Hurt, Who Gets Rich

The losers will be retail investors, late-stage VCs, and sovereign funds overexposed to hype. Figure, Anduril, and quantum pure-plays may 10x before crashing to near-zero. Apple’s Vision Pro ecosystem plays will soar, then collapse as adoption stalls.

The winners will be incumbents with real cash flow — Microsoft, Nvidia, and TSMC — who can weather the storm. A few VCs who resist the mania will emerge as heroes. One Valley veteran told me: “We’re sitting out agentic AI. It smells like Pets.com with robots.”

History suggests that those who short the bubble early — hedge funds in New York, sovereigns in Norway — will profit handsomely. The next dot com bubble redux will crown new villains and heroes.

The Bottom Line

The next tech bubble will not be a slow-motion phenomenon like housing in 2008 or crypto in 2021. It will be a compressed, violent cycle — inflated by sovereign wealth funds, corporate treasuries, and retail apps, then punctured by regulatory shocks and technological disappointments.

I’ve covered bubbles for 35 years, and the pattern is unmistakable: the louder the narrative, the thinner the fundamentals. Agentic AI, AR/VR resurrection, and quantum computing are extraordinary technologies, but they are being priced as inevitabilities rather than possibilities. When the correction comes — between late 2026 and mid-2027 — it will erase trillions in paper wealth in weeks, not years.

The winners will be those who recognize that hype is not the same as adoption, and that capital cycles move faster than technological ones. The losers will be those who confuse narrative with inevitability.

The bottom line: The next tech bubble is already here. It will peak in 2026–2027, and when it bursts, it will be larger in scale than dot-com but shorter-lived, leaving behind a scorched landscape of failed startups, chastened sovereign funds, and a handful of resilient incumbents who survive to build the real future.

DOGE is dead. Following a statement from OPM Director Scott Kupor that the agency “doesn’t exist”, we analyse how Musk’s “chainsaw” approach failed to survive Washington.

If T.S. Eliot were covering the Trump administration, he might note that the Department of Government Efficiency (DOGE) ended not with a bang, but with a bureaucrat from the Office of Personnel Management (OPM) politely telling a reporter, “That doesn’t exist.”

Today, November 24, 2025, marks the official, unceremonious end of the most explosive experiment in modern governance. Eight months ahead of its July 2026 deadline, the agency that promised to “delete the mountain” of federal bureaucracy has been quietly dissolved. OPM Director Scott Kupor confirmed the news this morning, stating the department is no longer a “centralised entity.”

It is a fittingly chaotic funeral for a project that was never built to last. DOGE wasn’t an agency; it was a shock therapy stunt that mistook startup velocity for sovereign governance. And as of today, the “Deep State” didn’t just survive the disruption—it absorbed it.

The Chainsaw vs. The Scalpel

In January 2025, Elon Musk stood on a stage brandishing a literal chainsaw, promising to slice through the red tape of Washington. It was great television. It was terrible management.

The fundamental flaw of DOGE was the belief that the U.S. government operates like a bloatware-ridden tech company. Musk and his co-commissioner Vivek Ramaswamy applied the “move fast and break things” philosophy to federal statutes that require public comment periods and congressional oversight.

For a few months, it looked like it was working. The unverified claims of “billions saved” circulated on X (formerly Twitter) daily. But you cannot “bug fix” a federal budget. When the “chainsaw” met the rigid wall of administrative law, the blade didn’t cut—it shattered. The fact that the agency is being absorbed by the OPM—the very heart of the federal HR bureaucracy—is the ultimate irony. The disruptors have been filed away, likely in triplicate.

The Musk Exodus: A Zombie Agency Since May

Let’s be honest: DOGE didn’t die today. It died in May 2025.

The moment Elon Musk boarded his jet back to Texas following the public meltdown over President Trump’s budget bill, the soul of the project evaporated. The reported Trump-Musk feud over the “Big, Beautiful Bill”—which Musk criticized as a debt bomb—severed the agency’s political lifeline.

For the last six months, DOGE has been a “zombie agency,” staffed by true believers with no captain. While the headlines today focus on the official disbanding, the reality is that Washington’s immune system rejected the organ transplant half a year ago. The remaining staff, once heralded as revolutionaries, are now quietly updating their LinkedIns or engaging in the most bureaucratic act of all: transferring to other departments.

The Human Cost of “Efficiency”

While we analyze the political theatre, we cannot ignore the wreckage left in the wake of this experiment. Reports indicate over 200,000 federal workers have been displaced, either through the aggressive layoffs of early 2025 or the “voluntary” buyouts that followed.

These weren’t just “wasteful” line items; they were safety inspectors, grant administrators, and veteran civil servants. The federal workforce cuts impact will be felt for years, not in money saved, but in phones that go unanswered at the VA and permits that sit in limbo at the EPA.

Conclusion: The System Always Wins

The absorption of DOGE functions into the OPM and the transfer of high-profile staff like Joe Gebbia to the new “National Design Studio” proves a timeless Washington truth: The bureaucracy is fluid. You can punch it, scream at it, and even slash it with a chainsaw, but it eventually reforms around the fist.

Musk’s agency is gone. The Department of Government Efficiency news cycle is over. But the regulations, the statutes, and the OPM remain. In the battle between Silicon Valley accelerationism and D.C. incrementalism, the tortoise just beat the hare. Again.

Frequently Asked Questions (FAQ)

Why was DOGE disbanded ahead of schedule?

Officially, the administration claims the work is done and functions are being “institutionalized” into the OPM. However, analysts point to the departure of Elon Musk in May 2025 and rising political friction over the aggressive nature of the cuts as the primary drivers for the early closure.

Did DOGE actually save money?

It is disputed. While the agency claimed to identify hundreds of billions in savings, OPM Director Scott Kupor and other officials have admitted that “detailed public accounting” was never fully verified. The long-term costs of severance packages and rehiring contractors may offset initial savings.

What happens to DOGE employees now?

Many have been let go. However, select high-level staff have been reassigned. For example, Joe Gebbia has reportedly moved to the “National Design Studio,” and others have taken roles at the Department of Health and Human Services (HHS).

NVDA earnings beat expectations, fueling AI momentum, but Nvidia stock price shows investor caution.

Nvidia’s latest earnings report has once again underscored its central role in the global AI revolution. The chipmaker, whose GPUs power everything from generative AI models to advanced data centers, posted blockbuster results that exceeded Wall Street expectations. Yet, despite the strong NVDA earnings, the Nvidia stock price slipped, reflecting investor caution amid sky-high valuations and intense competition. According to Yahoo Finance, the company’s results remain one of the most closely watched indicators of AI’s commercial trajectory.

Key Earnings Highlights

For the fourth quarter of fiscal 2025, Nvidia reported record revenue of $39.3 billion, up 78% year-over-year. Data center sales, driven by surging demand for AI infrastructure, accounted for $35.6 billion, a 93% increase from the prior yearNVIDIA Newsroom. Earnings per share came in at $0.89, up 82% year-over-year.

On a full-year basis, Nvidia delivered $130.5 billion in revenue, more than doubling its performance from fiscal 2024. This growth cements Nvidia’s dominance in the AI hardware market, where its GPUs remain the backbone of large language models, autonomous systems, and enterprise AI adoption.

Expert and Market Reactions

Analysts on Yahoo Finance’s Market Catalysts noted that while Nvidia consistently beats estimates, its stock often reacts negatively due to lofty expectations. Antoine Chkaiban of New Street Research emphasized that five of the past eight earnings beats were followed by declines in Nvidia stock, as investors reassess valuations.

Investor sentiment remains mixed. On one hand, Nvidia’s results confirm its unrivaled position in AI infrastructure. On the other, concerns about sustainability, competition from rivals like AMD, and potential regulatory scrutiny weigh on market psychology.

NVDA Stock Price Analysis

Following the earnings release, NVDA stock price fell nearly 3%, closing at $181.08, down from a previous close of $186.60. Despite the dip, Nvidia shares remain up almost 28% over the past yearBenzinga, reflecting long-term confidence in its AI-driven growth story.

The volatility highlights a recurring theme: Nvidia’s earnings power is undeniable, but investor sentiment is sensitive to valuation risks. With a trailing P/E ratio above 50, the stock is priced for perfection, leaving little margin for error.

Forward-Looking AI Implications

Nvidia’s earnings reaffirm that AI is not just a technological trend but a revenue engine reshaping the semiconductor industry. The company’s GPUs are embedded in every layer of AI innovation—from cloud hyperscalers to startups building generative AI applications.

Looking ahead, analysts expect Nvidia’s revenue to continue climbing, with consensus estimates projecting EPS growth of more than 40% next year. However, the company must navigate challenges including supply chain constraints, intensifying competition, and geopolitical risks tied to chip exports.

Outlook

Nvidia’s latest earnings report demonstrates the company’s unmatched leverage in the AI economy. While NVDA earnings continue to impress, the Nvidia stock price reflects investor caution amid high expectations. For long-term shareholders, the trajectory remains promising: Nvidia is positioned as the indispensable supplier of AI infrastructure, a role that will likely define both its market value and the broader tech landscape.

In the months ahead, Nvidia’s ability to balance innovation with investor confidence will determine whether its stock can sustain momentum. As AI adoption accelerates globally, Nvidia’s role as the sector’s bellwether remains unchallenged.