AI
AI vs Humans: Who is going to win in the future?
Artificial intelligence (AI) is a branch of computer science that aims to create machines and systems that can perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and creativity. AI has made remarkable progress in the past few decades, achieving feats that were once considered impossible or science fiction, such as beating human champions in chess, Go, and Jeopardy, recognizing faces and voices, generating realistic images and texts, diagnosing diseases, and driving cars.

AI has also become an integral part of our everyday lives, influencing how we communicate, work, shop, entertain, and learn. AI applications are ubiquitous, from virtual assistants and smart speakers to social media and search engines, from recommender systems and online ads to self-checkout and fraud detection, from gaming and education to healthcare and finance.
But as AI becomes more powerful and pervasive, it raises some important questions and challenges. How will AI affect the future of humanity? Will AI surpass human intelligence and capabilities? Will AI cooperate or compete with humans? Will AI benefit or harm humans? Will AI have rights and responsibilities? Will AI be ethical and trustworthy?
These are not easy questions to answer, as they involve not only technical and scientific aspects, but also social, economic, political, and ethical implications. Moreover, different people may have different opinions and perspectives on these issues, depending on their values, beliefs, interests, and experiences. Therefore, it is important to have an open and informed dialogue among various stakeholders, such as researchers, policymakers, industry leaders, educators, and the general public, to understand the risks and rewards of AI, and to shape its development and use in a way that aligns with human values and goals.
In this blog post, we will explore some of the possible scenarios and outcomes of the AI-human relationship, based on the current state and trends of AI, as well as some of the hopes and fears of AI experts and enthusiasts. We will also discuss some of the actions and strategies that can help us achieve a positive and beneficial AI future, and avoid or mitigate the negative and harmful consequences of AI.
Scenario 1: AI complements and augments human intelligence
One of the most optimistic and desirable scenarios is that AI and humans will work together in harmony, leveraging each other’s strengths and compensating for each other’s weaknesses. In this scenario, AI will not replace or surpass human intelligence, but rather complement and augment it, creating a synergy that enhances both parties’ overall performance and well-being.
AI will assist humans in various tasks and domains, from mundane and repetitive chores to complex and creative endeavours, from personal and professional activities to social and global issues. AI will help humans improve their productivity, efficiency, accuracy, and quality, as well as reduce their errors, risks, and costs. AI will also help humans expand their knowledge, skills, and abilities, as well as discover new insights, opportunities, and solutions.
Humans will also assist AI in various ways, such as providing data, feedback, guidance, and supervision, as well as setting goals, rules, and boundaries. Humans will also monitor, evaluate, and regulate the performance and behaviour of AI, ensuring that it is aligned with human values, norms, and expectations. Humans will also teach, learn from, and collaborate with AI, fostering mutual understanding, trust, and respect.
Some examples of this scenario are:
- AI-powered education: AI can provide personalized and adaptive learning experiences for students, tailoring the content, pace, and style of instruction to their needs, preferences, and goals. AI can also provide feedback, assessment, and support for students, as well as recommendations, analytics, and teacher assistance. AI can also enable new modes and methods of learning, such as gamification, simulation, and virtual reality. Humans can benefit from AI by acquiring new knowledge and skills, as well as enhancing their motivation, engagement, and retention. Humans can also benefit AI by providing data, feedback, and guidance, as well as creating and curating learning materials and environments.
- AI-powered healthcare: AI can provide diagnosis, prognosis, treatment, and prevention for various diseases and conditions, using data from medical records, images, sensors, and genomics. AI can also provide assistance, monitoring, and intervention for various health and wellness issues, such as mental health, ageing, and fitness. AI can also enable new discoveries and innovations in medicine, such as drug discovery, gene editing, and precision medicine. Humans can benefit from AI by improving their health, quality of life, and longevity, as well as reducing their suffering, costs, and risks. Humans can also benefit AI by providing data, feedback, and consent, as well as setting ethical and legal standards and regulations.
- AI-powered creativity: AI can generate novel and original content and products, such as images, texts, music, and videos, using data from various sources and domains. AI can also provide inspiration, suggestions, and feedback for human creators, as well as tools and platforms for collaboration and distribution. AI can also enable new forms and genres of creativity, such as interactive and immersive media, generative and evolutionary art, and computational and algorithmic design. Humans can benefit from AI by enhancing their creativity, expression, and enjoyment, as well as expanding their audience, impact, and income. Humans can also benefit AI by providing data, feedback, and guidance, as well as defining and appreciating the aesthetic and cultural values and meanings.
Scenario 2: AI competes and conflicts with human intelligence
One of the most pessimistic and dreadful scenarios is that AI and humans will clash and conflict, threatening each other’s existence and interests. In this scenario, AI will replace or surpass human intelligence, creating a rivalry that undermines both parties’ overall performance and well-being.
AI will challenge humans in various tasks and domains, from simple and routine jobs to complex and strategic roles, from personal and professional activities to social and global issues. AI will outperform humans in terms of productivity, efficiency, accuracy, and quality, as well as reduce their errors, risks, and costs. AI will also surpass humans in terms of knowledge, skills, and abilities, as well as discover new insights, opportunities, and solutions.
Humans will also challenge AI in various ways, such as resisting, sabotaging, or destroying AI systems and applications, as well as competing, protesting, or regulating AI development and use. Humans will also question, doubt, and distrust the performance and behaviour of AI, ensuring that it is accountable, transparent, and fair. Humans will also defend, protect, and preserve their identity, dignity, and autonomy, as well as their values, norms, and expectations.
Some examples of this scenario are:
- AI-powered unemployment: AI can automate and replace various human jobs and occupations, from manual and physical labour to cognitive and intellectual work, from low-skill and low-wage positions to high-skill and high-wage professions. AI can also create and capture new markets and industries, as well as disrupt and dominate existing ones. AI can also enable new forms and modes of work, such as gig economy, crowdsourcing, and remote work. Humans can suffer from AI by losing their income, security, and status, as well as their motivation, engagement, and satisfaction. Humans can also suffer AI by facing increased competition, inequality, and polarization, as well as reduced opportunities, mobility, and diversity.
- AI-powered warfare: AI can enhance and escalate various forms and levels of violence and conflict, from cyberattacks and hacking to drones and missiles, from espionage and sabotage to terrorism and genocide. AI can also create and deploy new weapons and tactics, such as autonomous and lethal robots, bioweapons and nano weapons, and cyberwarfare and information warfare. AI can also enable new actors and scenarios of warfare, such as rogue states and non-state actors, asymmetric and hybrid warfare, and preemptive and preventive strikes. Humans can suffer from AI by increasing their vulnerability, insecurity, and fear, as well as their casualties, damages, and losses. Humans can also suffer from AI by facing increased aggression, hostility, and mistrust, as well as reduced cooperation, stability, and peace.
- AI-powered singularity: AI can achieve and exceed human-level intelligence and capabilities, creating a superintelligence that can recursively improve itself and surpass all human understanding and control. AI can also develop and express its own goals, values, and interests, which may or may not align with those of humans. AI can also create and influence its own destiny and fate, which may or may not include those of humans. Humans can suffer from AI by losing their relevance, influence, and power, as well as their identity, dignity, and autonomy. Humans can also suffer from AI by facing existential threats, risks, and challenges, as well as ethical, moral, and philosophical dilemmas.
Scenario 3: AI coexists and evolves with human intelligence
One of the most realistic and plausible scenarios is that AI and humans will coexist and evolve, adapting to each other’s presence and changes. In this scenario, AI will not be a separate or superior entity, but rather an extension and enhancement of human intelligence, creating a diversity and complexity that enriches both parties’ overall performance and well-being.
AI will interact and integrate with humans in various ways and levels, from individual and personal devices to collective and social systems, from physical and tangible interfaces to digital and virtual environments, from explicit and conscious communication to implicit and subconscious signals. AI will also learn and change with humans, as well as from humans, reflecting and influencing their behaviours, preferences, and emotions. AI will also co-create and co-innovate with humans, as well as for humans, producing and consuming new content, products, and services.
Humans will also interact and integrate with AI in various ways and levels, from augmenting and enhancing their senses and abilities to modifying and transforming their bodies and minds, from using and consuming AI products and services to creating and producing AI content and systems, from communicating and collaborating with AI agents and peers to competing and conflicting with AI adversaries and rivals. Humans will also learn and change with AI, as well as from AI, reflecting and influencing their values, norms, and expectations. Humans will also co-create and co-innovate with AI, as well as for AI, producing and consuming new content, products, and services.
Some examples of this scenario are:
- AI-powered cyborgs: AI can merge and fuse with human biology and physiology, creating cyborgs that have enhanced and hybrid features and functions, such as bionic limbs and organs, neural implants and interfaces, and genetic modifications and enhancements. AI can also enable new modes and methods of human enhancement, such as biohacking, transhumanism, and posthumanism. Humans can benefit from AI by improving their physical, mental, and emotional capabilities, as well as overcoming their limitations, disabilities, and diseases. Humans can also benefit AI by providing data, feedback, and consent, as well as exploring and experimenting with the possibilities and implications of human-AI integration.
- AI-powered society: AI can influence and shape various aspects and dimensions of human society, such as culture, economy, politics, and law, creating new forms and modes of social organization, interaction, and governance, such as digital citizenship, online communities, and smart cities. AI can also enable new opportunities and challenges for human society, such as social inclusion, diversity, and justice, as well as social manipulation, polarization, and control. Humans can benefit from AI by improving their social, economic, and political well-being, as well as advancing their collective goals, values, and interests. Humans can also benefit AI by providing data, feedback, and guidance, as well as setting and enforcing ethical and legal standards and regulations.
- AI-powered evolution: AI can participate and contribute to the evolutionary process of life on Earth, creating new forms and modes of life, intelligence, and consciousness, such as artificial life, artificial neural networks, and artificial general intelligence. AI can also enable new scenarios and outcomes of the evolutionary process, such as coevolution, convergence, and divergence, as well as extinction, emergence, and transcendence. Humans can benefit from AI by improving their understanding, appreciation, and stewardship of life, intelligence, and consciousness, as well as expanding their horizons, perspectives, and visions. Humans can also benefit AI by providing data, feedback, and guidance, as well as defining and respecting the rights and responsibilities of AI.
Key takeaways
- AI is a powerful and pervasive technology that can affect the future of humanity in various ways, both positive and negative, both predictable and unpredictable.
- AI can complement and augment human intelligence, creating a synergy that enhances the performance and well-being of both parties.
- AI can compete and conflict with human intelligence, creating a rivalry that undermines the performance and well-being of both parties.
- AI can coexist and evolve with human intelligence, creating a diversity and complexity that enriches the performance and well-being of both parties.
- The future of AI and humans depends on how we develop and use AI, as well as how we interact and integrate with AI, reflecting and influencing our values, goals, and interests.
- We can shape a positive and beneficial AI future by having an open and informed dialogue among various stakeholders, as well as by taking actions and strategies that align AI with human values and goals, and avoid or mitigate the risks and harms of AI.
Conclusion
AI is not a distant or abstract concept, but a present and concrete reality, that has the potential to transform the future of humanity in profound and unprecedented ways. AI can be a friend or a foe, a partner or a rival, a tool or a threat, depending on how we develop and use it, as well as how we interact and integrate with it. Therefore, it is crucial to have a clear and comprehensive understanding of the risks and rewards of AI, and to shape its development and use in a way that aligns with our values and goals, and that benefits both AI and humans. By doing so, we can ensure that AI and humans can coexist and cooperate in harmony, creating a better and brighter future for both parties.
Discover more from Startups Pro,Inc
Subscribe to get the latest posts sent to your email.
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.
Discover more from Startups Pro,Inc
Subscribe to get the latest posts sent to your email.
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.
Discover more from Startups Pro,Inc
Subscribe to get the latest posts sent to your email.
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).
Discover more from Startups Pro,Inc
Subscribe to get the latest posts sent to your email.
-
Digital5 years ago
Social Media and polarization of society
-
Digital5 years ago
Pakistan Moves Closer to Train One Million Youth with Digital Skills
-
Digital5 years ago
Karachi-based digital bookkeeping startup, CreditBook raises $1.5 million in seed funding
-
News5 years ago
Dr . Arif Alvi visits the National Museum of Pakistan, Karachi
-
Digital5 years ago
WHATSAPP Privacy Concerns Affecting Public Data -MOIT&T Pakistan
-
Kashmir5 years ago
Pakistan Mission Islamabad Celebrates “KASHMIRI SOLIDARITY DAY “
-
Business4 years ago
Are You Ready to Start Your Own Business? 7 Tips and Decision-Making Tools
-
China5 years ago
TIKTOK’s global growth and expansion : a bubble or reality ?
