AI Has Commoditized Research Synthesis

Artificial intelligence is rapidly commoditizing access to information. As AI makes it easier for every consulting firm, investor, and corporate strategy team to analyze the same public data, competitive advantage is shifting away from access to information and toward proprietary evidence. Primary research has always been important, but in an AI-enabled world, its value is increasing. 

For years, the most successful consulting and investment teams have combined primary research with secondary sources to develop informed recommendations and investment theses. That balance is not changing. What is changing is the value each side of that equation contributes. 

When every firm has access to powerful AI tools and the same universe of public information, many teams begin from the same foundation of knowledge. AI makes secondary research faster and more accessible. It does not necessarily make it more differentiated. 

As a result, the source of competitive advantage is shifting. Increasingly, the question is not who can summarize publicly available information fastest. It is those who can uncover, validate, and act on information that is not publicly available at all. 

That is where primary research plays a more critical role. 

The Need for Primary Research Isn’t New 

AI has not created the need for primary research. It has exposed why primary research was indispensable all along. Surveys, expert interviews, customer conversations, and proprietary datasets have long been used to validate assumptions, test hypotheses, and answer questions that public sources cannot.  

No experienced investor or consultant would argue that secondary research alone is sufficient for making important decisions. But in an environment where AI can rapidly process and summarize public information, the limitations of secondary research become more visible. 

If multiple firms can use AI to reach similar conclusions from the same source material, differentiation comes less from the sophistication of the summary and more from the quality of the underlying evidence. 

The firms that develop the strongest conviction will be those that supplement AI-generated synthesis with evidence gathered directly from markets, customers, experts, and stakeholders. 

AI Is Expanding the Need for Better Evidence 

AI is no longer an emerging technology. It is quickly becoming part of standard business workflows. According to McKinsey’s 2025 State of AI research, 88% of organizations now use AI in at least one business function, up from 78% a year earlier. 

This widespread adoption is reshaping how information is gathered and analyzed. Market reports can be summarized in minutes. Earnings calls can be analyzed almost instantly. Competitive intelligence that once took days to compile can be generated with a prompt. 

The implications are significant. As AI capabilities become broadly available, access to information becomes less of a differentiator. Organizations that once competed on their ability to collect and process information are increasingly working from similar inputs and using similar tools to analyze them. 

That does not make research less important. It makes original evidence more valuable. 

Public information can help teams understand what is happening in a market. It is often less effective at explaining why it is happening, whether it will continue, or how customers and decision-makers are likely to respond. Those questions typically require direct engagement with the market itself. 

Consider a commercial due diligence process. AI can summarize market reports, compare competitors, scan customer reviews, analyze management presentations, and extract themes from public information within minutes. But it cannot, on its own, determine whether a specific buyer segment is willing to switch vendors, whether a product’s perceived differentiation holds up under direct customer scrutiny, or whether management’s pricing assumptions survive real-world validation. 

Those answers require direct engagement with the market through customer surveys, expert interviews, and other forms of primary research. They are often the difference between an interesting hypothesis and an investment-grade conclusion. That requires primary research. 

But primary research is not valuable simply because it produces proprietary information. It is valuable because it rewards judgment. 

Two firms can survey the same market and reach very different conclusions depending on the questions they ask, the audiences they target, and the hypotheses they choose to test. While AI can help summarize existing information, it cannot determine which assumptions deserve scrutiny or which questions are most likely to reveal a market truth. That still depends on human judgment. 

In that sense, primary research does more than generate evidence. It creates opportunities for differentiated thinking. 

As AI continues to lower the cost of analysis, the value of proprietary evidence rises. The firms that develop the strongest conviction will increasingly be those that combine AI-driven efficiency with direct market intelligence, using technology to move faster while relying on primary research to validate what matters most. 

The New Advantage Is Evidence Advantage 

Historically, firms often competed on information advantage. Access to the right reports, databases, and industry knowledge could create meaningful differentiation.  

Today, much of that advantage is becoming easier to access. As a result, firms are increasingly competing on what might be called evidence advantage: the ability to generate proprietary insights that competitors cannot simply prompt, scrape, or summarize. 

This could mean surveying buyers before entering a new market, validating customer adoption patterns during due diligence, testing pricing assumptions with decision-makers, or interviewing industry experts to understand emerging trends. 

These activities are not new. What is changing is their importance. As AI reduces information scarcity, proprietary evidence becomes more valuable. 

The Future Is AI Plus Primary Research 

The most effective consulting and investment teams will not choose between AI and primary research. They will combine them. 

AI will continue to accelerate data collection, analysis, and synthesis. It will help teams identify patterns faster, generate hypotheses more efficiently, and spend less time on repetitive tasks. As the cost of analysis falls, the value of proprietary evidence rises. 

Primary research will provide the proprietary evidence needed to validate those hypotheses and support high-conviction decisions. 

AI will continue to make analysis faster, cheaper, and more accessible. But as the cost of analysis falls, the value of proprietary evidence rises. 

The firms that generate the strongest insights over the next decade will not simply be the ones with the most advanced AI tools. They will be the ones who pair those tools with direct market intelligence, using primary research to validate assumptions, challenge consensus views, and uncover information not found in public sources. 

More importantly, they will be the ones who ask better questions. 

Because when everyone has access to similar information and similar technology, competitive advantage comes not just from gathering evidence, but from knowing where to look for it and what to do with it once you find it.