Why the world needs hundreds of Palantirs

Reading the signals from the Canary in the AI implementation coal mine

Bro, what's going on? Should we be outta here? The short answer is no but take care and watch the birdie. The longer answer is below.

Since going public in September 2020, Palantir Technologies (NYSE: PLTR) has surged by an astonishing 1,700 percent, turning early believers into some of the most rewarded investors in modern tech history. Yet following its latest excellent quarterly earnings, the stock fell about 8 percent on November 4, 2025, sparking a sharp uptick in the tech-sector "fear index" and renewed debate about whether high-valuation can be sustained.

The retail investor and also the experts are worried, and Michael Burry is piling in with short bets saying that we are in a bubble. He's known for calling the US housing market collapse.

There is a perspective that these "Fear index pushers" may not be considering over the next decade though. It's foolish to think short term - yes there will likely have a correction, probably several - but even if it drops by 40% the underlying company is strong and the market is crying out for these skills. The real question is will they be able to implement as perfectly over the next decade and what competitors emerge to fill the most important spot in the 4th industrial revolution.

Palantir said it predicts revenue of just over $1.3 billion for the fourth quarter, ahead of the $1.2 billion projected by Wall Street analysts tracked by Bloomberg. The tech firm expects to see an adjusted operating income between $695 million and $699 million for the period, more than the roughly $575 million expected. Palantir's U.S. commercial business more than doubled to $397 million. Total contract value for U.S. commercial deals closed more than quadrupled to $1.31 billion.

Palantir is the canary in the coal mine, signalling the shift in how enterprises could transform over the next decade. Our clients are grappling with this reality now. The feverish demand for AI implementation expertise has exposed a critical gap: while everyone talks about AI, few understand how to operationalise it at scale. Even if Palantir's stock drops 40% tomorrow, the underlying demand trajectory remains unchanged. Smart investors with a decade-long horizon should be watching this space carefully.

The implementation crisis: Why companies are stuck

The numbers tell a sobering story. Recent industry surveys show that a majority of organisations lack full visibility into their AI risks, and that companies breached through AI vulnerabilities overwhelmingly lacked proper access controls. This is more an expertise crisis than a tech crisis.

Three critical barriers are holding companies back:

1. The data dilemma Around two-thirds of organisations cite AI-powered data leaks as their top security concern, yet many have no AI-specific security controls in place. Companies are drowning in data they can't properly govern, secure, or leverage. Roughly one-third of enterprises now manage between 500 terabytes and 1 petabyte of data, and 29% saw data volumes expand by 30% or more in the past year.
2. Security and sovereignty concerns The rapid adoption of AI has outpaced enterprise security readiness, with widespread deployment but very low confidence (less than 10%) in existing security measures. Shadow AI – unauthorised tools operating outside governance frameworks – has become the new Shadow IT, creating massive blind spots. The rise of data sovereignty requirements, particularly in Europe and Asia, demands localised solutions that understand regional compliance frameworks.
3. A majority of recruiting leaders report that AI talent is harder to hire than other tech roles. Companies need expertise not just in AI, but in integrating it with legacy systems, ensuring compliance, and managing change. This isn't about hiring a few data scientists – it's about fundamental transformation capabilities.

Palantir seems to have got this right - there numbers tell the story: A window into insatiable demand - What should this tell us about the underlying trend?

Let's examine what Palantir's latest results reveal about market reality:

• Q4 2024 revenue of $828 million (36% YoY growth)
• US commercial revenue grew 64% year-over-year in Q4
• US government revenues rose 45% year-over-year
• The company closed 129 deals worth at least $1 million each during Q4
• Total contract value for Q4 2024 was $2.76 billion, a substantial YoY increase CEO Alex Karp's bold statements about "eviscerating this quarter, driven by unrelenting AI demand that won't slow down" are rooted in results, not hype.

The PR advantage of early AI adopters

Beyond technology, early adopters of AI frequently capture a disproportionate share of earned media attention. These organizations become the focal point of industry narratives, securing more press coverage, thought leadership invitations, and analyst mentions because they can provide tangible case studies and visionary commentary. As a result, early movers in emerging domains like AI build greater brand credibility, trust, and perceived leadership- positioning themselves as the examples others cite, and often amplifying both their market momentum and their PR footprint at little cost compared to paid campaigns.

The global landscape: Competitors and emerging players

The competitive landscape reveals how massive this opportunity is. Here's a quick overview of just some of who are positioning to capture this demand in the value chain with Palantir:

Why one Palantir isn't enough

The market data reveals why we need hundreds of Palantirs globally:

• The global AI market is estimated to reach $370.2 billion by 2025 and $738.7 billion by 2030, with a compound annual growth rate of about 27.7%.
• Nearly two-thirds of organisations have not yet begun scaling AI across the enterprise.
• We're seeing 30-fold increases in enterprise AI pilots, while most companies lack basic implementation capabilities.

Regional dynamics:

• US Market: Estimated at $74B in 2025, but concentrated in tech giants.
• China: $46.5B market with unique sovereignty requirements.
• Europe: €42.6B ($46.7B) with strict GDPR and EU AI Act compliance coming up in August 2026.
• Emerging markets: Desperate for localised solutions understanding their contexts.

2026: The Year of Two Waves By 2026, we'll witness an unprecedented surge in demand, arriving in two distinct waves:

• First Half 2026 – The Early Movers: As success stories proliferate and organisations adopting composable AI architectures outpace competitors in feature delivery, early adopters will rush to scale. These are the companies that have been piloting since 2024-2025 and now need partners to go enterprise-wide.
• Second Half 2026 – The Avalanche: When later adopters – especially regulated industries, manufacturers, and risk-averse corporations – see the evidence, they'll move en masse. Many will be responding to regulatory deadlines, such as the EU AI Act taking effect in August 2026, or competitive necessity.

If even 30% of the Fortune 2000 decide to seriously implement AI in H2 2026, that's 600 major corporations simultaneously seeking expertise that is exceptionally scarce. Add government agencies, mid-market companies, and non-US enterprises, and thousands will be competing for fewer than a few hundred truly capable partners.

Three reasons the tipping point is inevitable

• Success stories reach critical mass: By mid-2026, the ROI will be undeniable. Early adopters will be reporting significant efficiency gains, new revenue streams, and unassailable competitive advantages.
• Regulatory deadlines force action: Nearly 55% of organisations are unprepared for AI regulatory compliance. The EU AI Act deadline is August 2026, and more are pending.
• Competitive survival becomes existential: By late 2026, operating without AI won't just be inefficient – it will be competitively fatal.

The investment thesis: Beyond stock volatility

Here's what many investors miss: Palantir's forward P/S ratio as of October 2025 sits at approximately 83x, with a P/E ratio of about 231x. While very high, these multiples reflect scarcity value- there simply aren't enough companies with proven AI implementation expertise at scale. The question is, will they "grow" into a more respectable ratio?

The opportunity isn't just in Palantir – it's in identifying the next wave of implementation specialists with:

• Deep domain expertise in specific verticals
• Ability to integrate with legacy systems
• Strong data governance and security capabilities
• Regional compliance understanding
• Proven deployment methodologies
• Capacity to scale rapidly when H2 2026 demand surge hits

A personal observation

After working with our own clients in this area and seeing their implementation realities, there is a long way to go but there is real appetite for adopting AI.The companies that understand this are buying transformation expertise, not tech . And when the later adopters surge in during late 2026, there simply may not be enough experienced expertise to go around. Those who secure partnerships now will have a massive advantage.

The bottom line: We need hundreds of Palantirs With thousands of medium and large sized enterprises globally, each requiring deep, sustained implementation support, and with the later adopter wave about to break in late 2026, the current group of capable implementation partners is woefully inadequate. Every major economy needs its own set of Palantir-like companies – firms that understand local requirements, can navigate regional compliance, and can translate AI potential into operational reality.

For boards and C-suites: don't wait for late 2026. The queue is forming, start looking at your data and use cases in a methodical and measured way. There is time but there will be bumps along the road so work that into your planning

For investors: look beyond the headlines. The next decade's returns are likely to come from dozens or hundreds of implementation specialists as the later adopter wave validates investments in this ecosystem, even when valuations seem stretched today.

The canary is singing. However whether you are an investor or a company seeking to transform - have the long view in mind. There is smoke everywhere and both the stock exchange and AI company transformations carry a high risk but if you plan carefully and have a longer term view then things will work out for you.

Ask yourself two questions to help evaluate your firms pro

1. What can my company do over the next decade to transform?
2. What can Palantir and others do over the next decade to catch up to the valuations?

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always conduct your own research and consult with qualified financial advisors before making investment decisions.

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