AI
Could OpenAI Be the Next Tech Giant?
Introduction
In the ever-evolving landscape of technology, giants like Google, Amazon, Facebook, and Apple (collectively known as GAFA) have dominated the industry for years. Their relentless innovation, massive user bases, and market capitalization have solidified their positions as tech behemoths. However, the tech world is dynamic, and new players are constantly emerging. One such contender for tech giant status is OpenAI.
Founded in 2015, OpenAI has been making waves in the fields of artificial intelligence and machine learning. With a mission to ensure that artificial general intelligence (AGI) benefits all of humanity, OpenAI has garnered significant attention and investment. But could OpenAI truly become the next tech giant? In this blog post, we’ll explore OpenAI’s journey, its achievements, challenges, and the factors that might determine its potential to join the ranks of GAFA.
The Genesis of OpenAI
OpenAI’s story began with a group of visionary tech entrepreneurs and researchers, including Elon Musk, Sam Altman, Ilya Sutskever, Greg Brockman, and others. These luminaries came together with the goal of advancing AI research in a way that is safe, ethical, and beneficial to humanity.
One of OpenAI’s earliest notable contributions was its release of the OpenAI Gym, an open-source platform for developing and comparing reinforcement learning algorithms. This move democratized AI research, allowing individuals and organizations worldwide to experiment with AI in various applications, from robotics to game playing.

OpenAI’s Achievements
OpenAI’s journey towards tech giant status has been marked by several significant achievements and contributions to the field of AI:
- GPT Models: The development of the Generative Pre-trained Transformer (GPT) series of models has been a game-changer. GPT-2, and later GPT-3, demonstrated astonishing natural language understanding and generation capabilities. GPT-3, with 175 billion parameters, was the largest and most powerful language model of its time.
- AI in Healthcare: OpenAI’s work in applying AI to healthcare, particularly in radiology and medical imaging, has the potential to revolutionize the field. The ability of AI models to analyze medical images at an unprecedented scale can improve diagnostic accuracy and speed up healthcare delivery.
- Ethical AI Principles: OpenAI has been vocal about its commitment to ethical AI. It has actively researched methods to reduce bias in AI systems and has published guidelines to ensure responsible AI development.
- Competitive AI Research: OpenAI consistently ranks among the top AI research organizations in the world. Its contributions to reinforcement learning, computer vision, and natural language processing have pushed the boundaries of what’s possible in AI.
- Investment and Partnerships: OpenAI has secured substantial investments from prominent tech companies and investors. It has also formed partnerships with organizations like Microsoft, further boosting its resources and reach.
Challenges on the Path to Tech Giant Status
While OpenAI has made significant strides in AI research and development, there are several challenges it must overcome to ascend to tech giant status:
- Monetization Strategy: OpenAI has released some of its AI models and tools for free, while others are available through subscription services. Finding the right balance between open access and revenue generation is crucial for sustainable growth.
- Competition: The tech industry is fiercely competitive, with established giants and startups vying for dominance. OpenAI must continue to innovate and outpace competitors to maintain its relevance.
- Regulatory Scrutiny: As AI technologies become more powerful and pervasive, they attract increased regulatory attention. OpenAI must navigate evolving regulations to ensure its products and services remain compliant.
- Talent Retention: Attracting and retaining top talent in AI research and development is essential. Competition for skilled professionals in this field is intense, and OpenAI must offer competitive incentives to keep its team intact.
- Ethical Challenges: The ethical implications of AI are complex and ever-evolving. OpenAI must stay at the forefront of ethical AI research and practices to avoid controversies that could damage its reputation.
Factors that Could Determine OpenAI’s Success
Several factors will play a pivotal role in determining whether OpenAI can achieve tech giant status:
- Breakthrough Innovations: OpenAI must continue to produce groundbreaking AI innovations that solve real-world problems and capture the imagination of businesses and consumers.
- Strategic Partnerships: Collaborations with major tech companies like Microsoft provide access to resources, distribution channels, and a broader customer base. Leveraging these partnerships will be crucial.
- Global Expansion: Expanding its presence internationally will help OpenAI tap into diverse markets and access a more extensive talent pool.
- Ethical Leadership: Maintaining a strong commitment to ethical AI will not only ensure compliance with regulations but also help build trust with users and stakeholders.
- Monetization Strategies: OpenAI’s approach to monetization will determine its financial stability. Offering value-added services and products while continuing to support open-access initiatives will be key.
- Adaptability: The tech landscape evolves rapidly. OpenAI must be agile and adaptable, ready to pivot and adjust its strategies as the industry changes.
- Public Perception: Maintaining a positive public image and fostering goodwill through community engagement and responsible AI practices will be crucial.
Conclusion
OpenAI has certainly made a name for itself in the tech world, thanks to its groundbreaking AI research, ethical principles, and strategic partnerships. While it has a long way to go before it can rival the likes of GAFA, it’s clear that OpenAI has the potential to become a tech giant in its own right.
The journey to tech giant status will be fraught with challenges, from regulatory hurdles to fierce competition. However, if OpenAI continues to innovate, foster ethical AI practices, and wisely monetize its offerings, it could very well carve out a prominent place for itself in the tech industry.
The world is watching as OpenAI strives to fulfil its mission of ensuring AGI benefits all of humanity. Whether it becomes the next tech giant or not, its contributions to AI research and its commitment to ethical AI development have already left an indelible mark on the industry. As OpenAI continues to evolve, the question remains: Could OpenAI be the next tech giant? Only time will tell.
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Analysis
Editorial Deep Dive: Predicting the Next Big Tech Bubble in 2026–2028
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:
Metric Dot-com (1999–2000) Crypto/ZIRP (2021–2022) Emerging Bubble (2025–2028) Valuation multiples 200x sales 50–100x token revenue 150x projected AI agent ARR Retail participation Day traders via E-Trade Robinhood, Coinbase Tokenized AI shares via apps Fed policy Loose, then tightening ZIRP, then hikes High rates, capital trapped Sovereign wealth Minimal Limited $2–3 trillion allocations Corporate cash Modest Buybacks dominant $1 trillion redirected to AI/quantum Narrative strength “Internet changes everything” “Decentralization” “Agents + quantum = inevitability” Crash velocity 18 months 12 months Predicted 9–12 months Global contagion US-centric Global retail Truly global, sovereign-driven
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.
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AI
Macro Trends: The Rise of the Decentralised Workforce Is Reshaping Global Capitalism
The decentralised workforce has unlocked a productivity shock larger than the internet itself. But only companies building global talent operating systems will capture the $4tn prize by 2030. A Financial Times–style analysis of borderless hiring, geo-arbitrage, and the coming regulatory storm.
Imagine a Fortune 500 technology company whose chief financial officer lives in Lisbon, its head of artificial intelligence in Tallinn, and its best machine-learning engineers split between Buenos Aires and Lagos. The company has no headquarters, no central campus, and only a dozen employees in its country of incorporation. This is no longer a thought experiment. According to Deel’s State of Global Hiring Report published in October 2025, 41 per cent of knowledge workers at companies with more than 1,000 employees now work under fully decentralised contracts — up from 11 per cent in 2019. The decentralised workforce has moved from pandemic stop-gap to permanent structural shift. And it is quietly rewriting the rules of global capitalism.
From Zoom Calls to Geo-Arbitrage Warfare
The numbers are now familiar yet still breathtaking. McKinsey Global Institute’s November 2025 update estimates that the rise of remote global talent has unlocked an effective labour supply increase equivalent to adding 350 million knowledge workers to the global pool — almost the size of the entire US workforce. Companies practising aggressive borderless hiring have, on average, reduced salary costs for senior software engineers by 38 per cent while simultaneously raising output per worker by 19 per cent, thanks to round-the-clock asynchronous work economy cycles.
Goldman Sachs’ latest Global Markets Compass (Q4 2025) goes further. It calculates that listed companies with fully distributed teams trade at a persistent 18 per cent valuation premium to their office-centric peers — a gap that has widened every quarter since 2022. The market, it seems, has already priced in the productivity shock.
Chart 1 (described): Share of knowledge workers on fully decentralised contracts, 2019–2025E 2019: 11% 2021: 27% 2023: 34% 2025: 41% 2026E: 49% (Source: Deel, Remote.com, author estimates)
The Emerging-Market Middle-Class Explosion No One Saw Coming
For decades, policymakers worried about brain drain from the global south. The decentralised workforce has inverted the flow. World Bank data released in September 2025 show that professional-class household income in the Philippines, Nigeria, Colombia and Romania has risen between 68 per cent and 92 per cent since 2020 — almost entirely driven by remote earnings in dollars or euros. In Metro Manila alone, more than 1.4 million Filipinos now earn above the US median wage without leaving the country. Talent arbitrage, once a corporate profit centre, has become the fastest wealth-transfer mechanism in modern economic history.
Is Your Company Ready for Permanent Establishment Risk in 2026?
Here the story darkens. Regulators are waking up. The OECD’s October 2025 pillar one and pillar two revisions explicitly target “digital nomad payroll” and “compliance-as-a-service” loopholes. France, Spain and Italy have already introduced unilateral remote-worker taxation rules that create permanent establishment risk 2025 the moment a company employs a resident for more than 90 days. The EU’s Artificial Intelligence Act, effective January 2026, adds another layer: any company using EU-resident contractors for “high-risk” AI development must register a legal entity in the bloc.
Yet enforcement remains patchy. Only 14 per cent of companies with distributed teams have built what I call a global talent operating system — an integrated stack of employer of record (EOR) providers, real-time tax engines, and currency-hedging payrolls. The rest are flying blind into a regulatory storm.
Chart 2 (described): Corporate tax base erosion attributable to decentralised workforce strategies, selected OECD countries, 2020–2025E United States: –$87bn Germany: –€41bn United Kingdom: –£29bn France: –€33bn (Source: OECD Revenue Statistics 2025, author calculations)
The Rise of the Fractional C-Suite and Talent DAOs
Look closer and the picture becomes stranger still. On platforms such as Toptal, Upwork Enterprise and the newer blockchain-native Braintrust, fractional executives 2026 are already commonplace. The average Series C start-up now retains a part-time chief marketing officer in Cape Town, a part-time chief technology officer in Kyiv, and a part-time chief financial officer in Singapore — each working 12–18 hours a week for equity and dollars. Traditional headhunters report that 29 per cent of C-level placements in 2025 were fractional rather than full-time.
More radical experiments are emerging. At least seven unicorns (most still in stealth) now operate as private talent DAOs — decentralised autonomous organisations in which contributors are paid in tokens tied to company revenue. These structures sidestep traditional employment law entirely. Whether they survive the coming regulatory backlash is one of the defining questions of the decade.
The Productivity Shock — and the Backlash
Let us be clear: the decentralised workforce represents the most powerful productivity shock since the commercial internet itself. McKinsey estimates that full adoption of distributed teams and asynchronous work economy practices could raise global GDP by 2.7–4.1 per cent by 2030 — roughly $3–4 trillion in today’s money. The gains are Schumpeterian: old hierarchies are being destroyed faster than most incumbents realise.
Yet every productivity shock produces losers. Commercial real estate in gateway cities is already in structural decline. Corporate tax revenues are eroding. And inequality within developed nations is taking new forms: the premium for physical presence in high-cost hubs is collapsing, but the premium for elite credentials and networks remains stubbornly intact.
What Comes Next
By 2030, I predict — and will stake whatever reputation I have left on this — the majority of Forbes Global 2000 companies will have fewer than 5 per cent of their workforce in a traditional headquarters. The winners will be those that treat talent as a global, liquid, 24/7 resource and build sophisticated global talent operating systems to manage it. The losers will be those that cling to 20th-century notions of office, postcode and 9-to-5.
The decentralised workforce is not a trend. It is the new architecture of global capitalism. And like all architectures, it will favour the bold, the fast and the borderless — while quietly dismantling the rest.
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AI
‘That doesn’t exist’: The Quiet, Chaotic End of Elon Musk’s DOGE
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).
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