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“I primarily use AI as a professional support tool to enhance my work as a pharmacist. It helps me quickly summarize new medications and indications, translate clinical or technical information into clear, patient-friendly language, and draft or refine professional emails,” said a clinical pharmacist on Sermo. “I also rely on AI to save time, improve consistency in my communication, and ensure information is accurate yet easy to understand. Overall, AI supports my ability to educate patients effectively while streamlining my daily workflow tasks.”

As Artificial Intelligence (AI) becomes more prevalent in pharmacy settings, pharmacists across all settings are beginning to ask “How is AI changing pharmacy practice?” and “What does AI mean for my role?”

Although AI adoption at the institutional level is growing, individual pharmacists’ use remains uneven. Many organizations have AI tools, but their pharmacists have not yet incorporated them into their daily practice. Since most pharmacists receive little to no AI training, you may not understand how to use these tools in your daily activities and remain skeptical about AI in pharmacy, as your practical questions remain unanswered.

Sermo’s pharmacist community provides a space where pharmacists can discuss AI adoption experiences, AI tools, and the nuances of living in the AI age. Join the community to see how your peers are tackling AI in practice.  

AI tools pharmacists are actually using

If you’re a pharmacist in 2026, you may be encountering AI or automation through your employer’s dispensing, documentation, clinical decision-support, inventory, or claims systems—even if you do not personally use a generative-AI tool. Retail prescription volumes have risen from roughly 6.2 billion (2019) to 7.1 billion (2024)—about a 15% increase over 5 years while pharmacist staffing remains relatively flat. As today’s busy pharmacists verify 150-250 prescriptions daily, AI is primed to optimize pharmacy workflows and automate repetitive tasks, allowing pharmacists to focus on clinical services and patient care. 

2023 ASHP National Survey of Pharmacy Practice in Hospital Settings, 5.7% of hospitals reported using advanced analytics, including artificial intelligence, machine learning, or predictive analytics. However, in a Sermo pharmacist community poll, 63% of pharmacists said they do not use any type of AI in their practice, including AI-powered scribes, drug information search, or diagnostic assistance; and only 31% said they currently use AI tools in their practice.  

For those do utilize AI pharmacy tools, applications may include:

AI-powered prescription verification and order entry

AI is being explored for medication-order review, inventory management, clinical decision support, and medication-safety monitoring. AI prescription verification leverages automated systems to cross-reference prescriptions against patient records, formularies, drug-drug interactions, and dosing ranges. These tools could be used across many pharmacy settings, including retail and long-term care. 

AI-enabled inventory tools may forecast demand, recommend reorder points, identify slow-moving or expiring stock, and help reduce shortages or waste. These solutions are particularly valuable in retail and specialty pharmacy, where inventory costs directly affect margins.

However, poorly calibrated decision-support systems can contribute to alert fatigue, especially when they generate frequent low-value notifications. Pharmacist review, clear escalation criteria, and ongoing monitoring are needed to ensure that automation improves rather than undermines safety.

Clinical decision support and drug interaction screening

Pharmacy decision-support systems can rapidly evaluate medication lists, diagnoses, laboratory results, allergies, and interaction rules. Some specialized tools also incorporate pharmacogenomic information, but the data available and the clinical validity of recommendations vary by system. In a small-sample poll, 26% of pharmacists on Sermo said they have used AI for decision making support.

“I use ChatGPT and other LLMs to help brainstorm and give me resources if I want to understand about a new drug/treatment/condition. It’s quite good at this, but I take the answers with a pinch of salt as they could be incorrect,” a pharmacist posted on Sermo.

Automated dispensing and robotic systems

Pharmacy robotics and automation are not synonymous with AI, but AI and advanced analytics are increasingly being integrated into pharmacy automation and workflow platforms to identify discrepancies, forecast medication demand, optimize inventory, and prioritize prescriptions for review. 

By automating repetitive dispensing and packaging tasks, they can reduce manual workload, improve inventory visibility, and allow pharmacists to spend more time on medication review, clinical decision-making, counseling, and other patient-facing activities. However, these systems generally support—not replace—pharmacist oversight, particularly when clinical judgment or intervention is required.

AI-assisted documentation and claims processing

AI and automation can support prior authorization, documentation, billing, quality measurement, and other administrative workflows. However, implementation, time savings, and accuracy vary by workflow, data quality, payer connectivity, and the level of pharmacist or clinician review required. 

According to a Sermo poll, 25% of pharmacists use AI tools to find evidence-based drug information faster; 21% use AI to predict patients at high risk for certain conditions and 15% use AI to help with scheduling or billing. Other use cases include using it to help with diagnosis or assessment (14%), for analysis of information or reports (13%) and to improve notetaking (11%). 

What AI is likely to automate (and what it won’t)

Pharmacists on Sermo are discussing AI’s impact on the profession – and their careers – asking questions like “Will AI replace pharmacists?” and “Which pharmacy tasks are most likely to be automated by AI?”. You may be anxious about how artificial intelligence in pharmacy will impact their careers. These tools may improve pharmacy workflows, but AI will not replace pharmacists. 

“Personally, I don’t see AI replacing healthcare professionals; however, I do see its role in assisting and helping clinicians to do their job better, more efficiently and more accurately. However, I think we are at least another 5-10 years away from more mainstream clinical adoption,” said a pharmacist discussing AI clinical pharmacy on Sermo. 

AI can automate and accelerate tasks with high automation potential, such as drug interaction checking, prescription counting and dispensing, inventory management, insurance claim processing, and routine patient reminders. These tasks often involve structured, repetitive data and may be suitable for automation or decision support. However, speed and consistency do not guarantee accuracy, and exceptions still require pharmacist review. 

AI is unlikely to replace more complex tasks. Pharmacists remain essential when it comes to complex medication therapy management, patient counseling (especially for new diagnoses, polypharmacy, or adherence challenges), clinical or ethical judgment in ambiguous cases, interdisciplinary collaboration on care teams, handling emotionally difficult conversations, and navigating insurance and coverage exceptions that require human advocacy. Pharmacist involvement remains especially important when decisions require contextual interpretation, communication, shared decision-making, ethical judgment, or accountability for an individual patient. 

What does AI mean for your pharmacy career?

“AI has real potential to reduce cognitive and administrative burden, but only if it is governed, transparent, and truly embedded in clinical workflows. As pharmacists, we see firsthand how data quality, oversight, and human judgment remain critical. AI should support – not replace – clinical reasoning, and strong governance will be the key difference between meaningful progress and added risk in 2026,” commented a pharmacist on Sermo.

The BLS projects 5% employment growth for pharmacists through 2034, with 335,100 currently employed at a median wage of $137,480. AI is more likely to change what pharmacists do than eliminate the role, shifting time from verification and administrative tasks toward clinical services, MTM, patient counseling, immunizations, and chronic disease management. Pharmacists who develop strong clinical, communication, and AI-oversight skills will be most valued. Nonetheless, AI may still drive some pharmacists to explore non-traditional roles. 

“I can see AI checking prescriptions for DURs, DDIs, and accuracy of transcription and labeling. It can go further by sending the prescribers an electronic message about these interactions and request alternatives,” a retail pharmacist posted on Sermo.

How to prepare for AI in your pharmacy career

As AI becomes more widely used in the pharmacy sector, here’s what you can do now to prepare for this new reality:

Step 1. Learn the AI tools in your current setting

Ask your employer what AI systems are being deployed, request AI training, and understand how to leverage pharmacy automation technology tools, AI pharmacy workflow, and AI drug dispensing tools already in your practice. If your institution hasn’t deployed AI tools yet, explore what’s available and advocate for appropriate pilot programs so that you can evaluate whether a proposed tool is safe, useful, and appropriate for your workflow.

Step 2. Develop your clinical skills

The future of pharmacy AI will focus on verification and administrative tasks, while the pharmacist’s value shifts to clinical judgment, patient counseling, MTM, and interdisciplinary collaboration. Invest in strengthening your skills —potentially through board certifications (BCPS, BCACP, BCGP) and clinical training—that positions you for the roles AI can’t fill. 

Step 3. Understand AI limitations

AI systems aren’t perfect. They can hallucinate, generate false positives, and lack contextual reasoning. Your role is to catch what AI misses, not to trust AI blindly. Learn how to evaluate AI outputs critically: when to trust, when to verify, and when to override.

Step 4. Get involved in AI governance

ASHP’s 2024 and 2025 Summits on AI in Pharmacy Practice gave pharmacists a framework for shaping AI deployment. Join your institution’s pharmacy and therapeutics committee, AI governance workgroup, or safety committee. Pharmacists can contribute practical expertise about alert burden, workflow fit, medication safety, patient communication, documentation, and unintended consequences and those who shape how AI is deployed will lead; while pharmacists who passively accept it will be led.

Step 5. Connect with peers navigating the same transition

The AI transition is happening unevenly across settings: hospital pharmacists may be further along than retail pharmacists in the same city. Professional communities, including ASHP, state pharmacy associations, and social networks like Sermo provide access to peers comparing notes on what works, what doesn’t, and what’s coming next.

Is AI safe in pharmacy practice?

The potential of AI to create efficiency in your workflow and improve patient care is significant. But AI is not fully trustworthy in pharmacy yet. Current models still make errors, miss critical context, and often hallucinate drug facts. Therefore, check every output using verified clinical sources and use AI only as a helper, not as the final decision-maker. 

Understand AI’s limitations in the pharmacy sector, including:

• Hallucinations. AI models can misinterpret data or generate false outputs, risking incorrect dosing or missed drug interactions. This forces pharmacists to manually reconcile high-volume outputs, which negates AI’s time-saving benefits. 
• Outdated information. AI often relies on old data and lacks real-time updates for drug recalls, new FDA approvals, or shifting clinical guidelines. 
• Contextual limits. AI struggles with complex, multi-condition patient cases that require real-world experience, common sense, and intuition.
• Hidden biases. Output quality can shift based on how prompts are written and the underlying training data. 
• High error risk. AI can misread complex drug interactions or dosing rules, increasing patient risks.
• Data gaps. AI may miss things like rare patient histories or regional drug availability.
• Lack of empathy. Automated tools cannot replace the compassionate, human communication needed for patient counseling and trust-building.

AI won’t eliminate pharmacists’ roles

AI is already being used in many pharmacy workflows, but it’s automating specific tasks unevenly (verification and admin first, clinical judgment last). Don’t get too concerned about AI “taking over” pharmacists’ jobs. AI may be changing what pharmacists do rather than eliminating the pharmacist’s role, but it cannot (and will not) replace you entirely. You’ll thrive by developing clinical skills AI can’t replace, understanding AI limitations well enough to catch its errors, and getting involved in shaping how AI is deployed in your pharmacy setting. 

Join the pharmacist community on Sermo to discuss AI adoption experiences with peers, and share which tools actually work in your practice.