The Enduring Necessity of HUMINT

Why Machines Can’t Replace Human Intelligence

Dear SPINTCOM Readers and Subscribers,

There’s a conversation happening in intelligence circles right now that we need to address head-on. As AI capabilities accelerate and digital collection tools become more sophisticated, some are asking whether human intelligence collection—HUMINT—still deserves its place at the center of intelligence tradecraft.

The answer isn’t just yes. It’s emphatically, operationally, and strategically yes.

The Seduction of the Machine

This pattern repeated across multiple intelligence communities over the past decade. A new technical capability emerges. It produces volumes of data. It identifies patterns at scale. And suddenly, there’s a gravitational pull toward treating the machine’s output as authoritative.

It’s a seductive trap.

The chief of a major Western intelligence service recently delivered an inaugural address that cuts through this fog with operational clarity. His central thesis? Even in our technology-mediated world, human beings must decide outcomes. This is not a matter of philosophical preference, but rather an operational necessity.

He’s right. And those of us who’ve operated in this space know exactly why.

What Machines Can’t Do

Let me clarify the benefits that technology offers. AI can surface patterns we’d never spot manually. It can process signals at impossible speed. It can illuminate connections across vast datasets. These capabilities are force multipliers, and any intelligence service ignoring them will lose relevance fast.

But here’s what the algorithms can’t do:

1. They can’t decide what matters. A machine can tell you that X is correlated with Y. It cannot tell you whether that correlation is strategically significant or operationally actionable in the specific context you’re navigating.

2. They can’t weigh moral tradeoffs. Intelligence work constantly forces choices between competing goods and lesser evils. Those decisions require judgment that machines fundamentally cannot possess.

3. They can’t assume responsibility. When operations go sideways—as they inevitably will—someone bears the responsibility for the consequences. This individual is invariably human.

4. They can’t recruit a source. No algorithm has ever convinced a foreign official to commit treason. No AI system has ever built the trust required to run a penetration of a hostile intelligence service.

That’s HUMINT, and it remains irreplaceable.

The Human-Machine Partnership

A former senior official who led digital transformation at a major intelligence agency put it well in her recent analysis. During her time in that role, the most effective systems weren’t designed to replace human judgment, they were explicitly built to support it.

That’s the model worth replicating.

Think of it this way: technology should force you to ask better questions, challenge your assumptions, and understand context before acting. It should never become a substitute for operational judgment.

I’ve described this model elsewhere as human-machine partnering, and it’s the only framework that works in practice. The future isn’t technological supremacy alone. It’s not a romantic return to pre-digital tradecraft either. It’s the disciplined integration of technology into human decision-making, with absolute clarity about where judgment must reside.

With HUMINT officers, that judgment resides in the field.

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Expert Commentary: A Practical Framework for Human Authority by Joel Salinas

Understanding the principle is one thing. Applying it operationally is another. Joel Salinas from LeadershipInChange.com has developed a self-assessment framework that translates theory into practice. While his work focuses on organizational leadership, the framework maps directly onto intelligence operations, and it’s worth your attention.

The Human Authority Audit: 3 Questions Every Leader Must Answer

Before your next AI-supported decision, run this assessment:

Step 1: Decision Weight Test
Ask, “If this decision fails, who bears real consequences?”

• If the answer is “my organization/team/stakeholders,” a human must decide

• If the answer is “no one” or “it’s reversible,” AI can suggest options

• Red flag: You can’t name who’s accountable

Step 2: Trust Requirement Check
Ask: “Does this decision depend on relationships I’ve built or organizational trust I’ve earned?”

• Donor communications, strategic pivots, personnel decisions, public statements = human decision required

• Data analysis, research synthesis, draft generation = AI can assist

• Red flag: You’re letting AI draft anything that trades on your personal credibility

Step 3: Judgment Complexity Scan
Ask, “Does this require weighing competing values, reading context, or anticipating human reactions?”

• Ethical tradeoffs, cultural considerations, stakeholder politics = human judgment essential

• Pattern recognition, data processing, scenario modeling = AI can support

• Red flag: You’re accepting AI’s first output without applying your contextual knowledge

If you answer “yes” to any red flag, pull the decision back to human authority immediately.

The intelligence community learned this the hard way:

machines inform, humans decide.

Your organization can’t afford to learn it the same way.

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This framework isn’t academic. It’s a discipline mechanism. In intelligence operations, the stakes of getting this wrong aren’t organizational inefficiency; they are blown operations, compromised sources, and strategic failures with consequences measured in lives and national security.

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The Grey Zone Demands Human Intelligence

Consider the operational environment we’re actually working in. We’re not in peacetime. We’re not in a declared war. We’re in persistent grey-zone competition where adversaries seek advantage through pressure that’s continuous, deniable, and deliberately difficult to attribute.

Cyber operations. Infrastructure sabotage. Influence campaigns. Economic coercion. These aren’t discrete events but cumulative campaigns designed to intimidate and erode confidence without triggering conventional responses.

Technical collection can identify some of this activity.

• But understanding intent?

• Anticipating next moves?

• Discerning strategic objective from tactical feint?

That requires human sources with access and human analysts with contextual understanding.

Look at the 13 undersea cable incidents around Taiwan and the Baltic Sea in 2024-2025.

Technical sensors can tell you a cable was cut.

HUMINT can tell you who ordered it, why, and what’s coming next.

Trust: The Currency HUMINT Runs On

Discussions about artificial intelligence replacing human intelligence often overlook the fact that our business operates on trust.

You can’t recruit a source without trust (vetted trust, that is.) You can’t run a penetration operation without trust. You can’t validate intelligence without understanding the human being providing it: their motivations, their access, or their reliability under pressure. (PAMS...+ for the experts)

I’ve run sources who had access to decision-makers that no amount of signals intelligence could penetrate. I’ve worked cases where the critical insight wasn’t what was said in official channels, but what wasn’t said. The tension in a room. The hesitation before answering was a critical insight. The relationship between two officials explained an otherwise inexplicable policy shift.

Machines don’t do nuance. They don’t read people. They don’t build relationships that convince someone to risk everything.

HUMINT officers do.

The Deepfake Challenge

If you need more evidence that HUMINT isn’t going anywhere, look at what’s happening to information itself.

We’re entering an environment where voice, image, and presence can be fabricated convincingly at scale. Seeing is no longer believing. Synthetic media and AI-enabled influence operations have made identity itself a contested space.

Such an environment creates challenges that extend far beyond traditional counterintelligence.

When you can’t trust what you’re seeing or hearing, how do you verify anything?

The answer is ground truth established through human sources. When everything digital can be faked, the human element becomes more critical, not less. You need officers who can physically verify information. You need agents who can confirm what’s real and what’s manufactured.

The information environment isn’t getting easier to navigate. It’s getting exponentially harder. And that makes human intelligence more essential than ever.

Digital Literacy, Not Digital Replacement

Let me address a common misunderstanding. Emphasizing HUMINT’s enduring necessity doesn’t mean ignoring technology. Modern intelligence officers must be digitally literate. They need to understand how technology shapes operational environments and adversary behavior.

But digital literacy doesn’t mean becoming engineers. It means understanding technology as both tool and terrain. In modern intelligence work, ignorance of technology is a vulnerability.

The best HUMINT officers are as comfortable using advanced digital tools as they are recruiting sources. They understand how their adversaries use technology. They know how to leverage digital infrastructure for operational advantage. They grasp the technical signatures their activities might leave.

That’s the standard we should aim for: officers who are technologically fluent without being technologically dependent.

Audacity Still Matters

In a world defined by exponential change, moving slowly doesn’t preserve relevance. It accelerates decline.

This phenomenon is particularly true for HUMINT operations.

The window for recruiting a source can be measured in days or hours. The opportunity to place an officer in position can vanish in a diplomatic reshuffle. Access that exists today may not exist tomorrow.

Technology can help identify opportunities faster. It can reduce some operational friction. But ultimately, someone still has to make the approach. Someone still has to take the risk. Someone still has to operate in the physical world, where consequences are real and unforgiving.

Those are HUMINT officers.

Values as Strategic Advantage

Here’s the final piece that ties everything together: in the competition with digital authoritarianism, our values aren’t a constraint. They’re our strategic advantage.

Authoritarian intelligence services can offer money. They can offer ideology. They can offer coercion.

We offer something fundamentally different: partnership with services that operate within the rule of law, that respect human rights, and that view agents as partners rather than assets to be expended.

That matters to sources. It matters to foreign liaison relationships. It matters to sustaining public trust in democratic societies where intelligence services must earn legitimacy, not demand it.

Technology is morally neutral. HUMINT operations are not. The values encoded into how we recruit, run, and protect sources define who we are and determine who will work with us.

That’s how HUMINT works when done right.

The Bottom Line

Artificial intelligence will continue advancing. Technical collection capabilities will keep improving. Digital infrastructure will become more sophisticated.

None of that makes HUMINT obsolete.

All of it makes HUMINT more necessary.

Ultimately, intelligence revolves around comprehending human intentions and forecasting their behavior in strategic contexts. Machines can support that mission. They cannot replace it.

• The most important decisions will always be made by human beings.

• The most critical intelligence will always come from human sources.

• The most consequential operations will always require human judgment.

That’s not nostalgia. That’s operational reality.

As we build the intelligence services capable of meeting 21st-century challenges, we need officers who are technically sophisticated, operationally aggressive, and deeply grounded in the human dimension of intelligence work.

Technology and humans. Not technology or humans.

That’s the future of intelligence.

And HUMINT will remain at its core.

The views expressed are those of the author and do not reflect official policy or position.