Opportunities for Libraries with AI represents Steve Hargadon's analysis of how artificial intelligence technologies present both significant potential benefits and fundamental challenges for library institutions. Drawing on his broader framework of idealized narratives versus actual functions, Hargadon examines how AI disrupts traditional library operations while potentially opening new avenues for enhanced service delivery.

The Technology's Disruptive Impact

According to Hargadon's framework, when technology disrupts an industry, there are four possible scenarios: challenging the idealized narrative while leaving actual functions intact; challenging both narrative and functions; leaving narrative untouched while undermining functions; or challenging neither. For libraries, AI challenges those remaining functions directly that survived the internet era.

Hargadon argues that the reference interview—"understanding what a patron actually needs, translating a vague question into a productive search, evaluating the quality and relevance of results—is very close to what a well-used language model does." While acknowledging limitations, he notes this capability addresses "the majority of reference interactions, which are not complex research questions but relatively routine navigation tasks."

Opportunities in Enhanced Information Management

AI offers libraries opportunities for increased efficiency and automation of mundane tasks. Hargadon suggests that artificial intelligence can handle routine information navigation and basic reference functions, potentially freeing librarians for more complex work. The technology provides enhanced idea generation capabilities and advancements in information management and access that could augment traditional library services.

However, Hargadon identifies a critical challenge: "The deeper issue is that the cultural conditions which would reward careful, critical thinking about information are not currently being cultivated by the broader environment." He observes that while librarian expertise in careful information evaluation is "genuinely valuable and genuinely rare," it operates in structural tension with an attention economy "optimized for fast, confident, frictionless information consumption."

The Institutional Context

Applying his concept of the Law of Inevitable Exploitation (L.I.E.), Hargadon suggests that selection pressure favors whatever exploits human psychology most effectively. In the information landscape, this means systems that provide quick, satisfying responses often outcompete those requiring slower, more careful evaluation—regardless of accuracy or long-term benefit to users.

The idealized narrative of libraries centers on "free, equitable access to information and knowledge for all citizens," while the actual functions have evolved significantly. Hargadon notes that libraries have expanded "into computer access, into meeting spaces, into community programming, into social services navigation," often absorbing functions that arrived "without the funding that should accompany them."

Professional Adaptation Paths

Hargadon identifies three potential paths for library professionals navigating AI disruption:

Embracing expanded community services: Some librarians find fulfillment in the evolved mission of social services navigation and community anchor functions, though Hargadon warns this requires "sustained by an honest assessment rather than an idealized narrative" about resource availability.

Defending critical information expertise: This involves fighting for the profession's traditional role in "source evaluation, research navigation, and information literacy." However, Hargadon suggests this expertise may find "a more promising future in adjacent spaces that are actively looking for it: health systems navigating AI-generated medical information, corporate settings grappling with information quality, educational institutions."

Transitioning to aligned opportunities: Moving to "settings where the training and values translate into work that feels more aligned with what drew people into the profession," which Hargadon frames not as abandonment but as "a reasonable response to an honest assessment."

The Cognitive Architecture Challenge

Drawing on his framework of the separated mind, Hargadon explains why institutional adaptation proves difficult. He describes human cognition as architecturally separated between conscious deliberation and subconscious processing, with "the narrative-operative gap" creating systematic blind spots in institutional self-awareness.

For libraries, this means the profession may struggle to accurately assess AI's impact because intellectual capture—when "intelligence that should be observing the system is recruited into defending it"—prevents clear sight of changing realities. As Hargadon notes, "The people who see clearly what their institutions are actually doing tend to find themselves unable to rise within those institutions."

Long-term Implications

Hargadon argues that model capture represents a new form of technological influence where AI systems shape not just what users see but "how you compose, frame, and reason in real time." This creates both opportunities and risks for libraries as information intermediaries.

The challenge for the library profession, according to Hargadon, "is not to save the institution exactly as it is. It is to figure out how to carry the best of what the profession knows into whatever comes next." This requires what he terms operative-layer awareness—the ability to see beneath idealized narratives to actual functions and structural realities.

Hargadon's analysis suggests that while AI presents genuine opportunities for enhanced efficiency and new service models, libraries face the fundamental challenge of adapting institutional structures built for information scarcity to an environment of information abundance where careful evaluation competes with speed and convenience.