Difference Between Automation and AI: Your 2026 Strategic Guide
In 2026, understanding the core difference between automation and AI is paramount for any business aiming for efficiency and innovation. While often used interchangeably, these powerful technologies serve distinct purposes and offer unique capabilities. This guide demystifies their definitions, explores their applications, and clarifies why their strategic integration is key to unlocking unprecedented growth and competitive advantage in the modern landscape.
Allen Seavert · AI AutoAuthor
December 17, 20259 min read
Listen
0:00 / 2:26
Understanding difference between automation and ai
The difference between automation and AI is a crucial distinction for businesses navigating the evolving digital landscape in 2026. While both aim to streamline processes, they operate on fundamentally different principles and offer unique capabilities. Understanding this divergence is not just academic; it's essential for strategic decision-making, ensuring that businesses implement the right technology for the right problem. This guide will clarify these concepts, detail their applications, and equip you with the knowledge to leverage both effectively for unparalleled growth.
What is Automation? The Foundation of Efficiency in 2026
Automation refers to the use of technology to perform tasks with minimal human intervention. At its core, automation follows pre-defined rules and workflows to execute repetitive, predictable tasks. According to a industry analysts report from 2024, 80% of organizations plan to increase spending on automation, highlighting its enduring importance for operational efficiency. It's about making processes faster, more consistent, and less prone to human error.
Common examples include Robotic Process Automation (RPA), which mimics human interactions with digital systems, or automated email sequences. These systems excel in environments where the steps are clear, the data is structured, and the outcomes are predictable. Automation is the engine that drives efficiency, handling the "how" of a task based on established instructions.
What is AI? The Engine of Intelligence and Adaptability in 2026
Artificial Intelligence (AI), on the other hand, involves machines learning from data, adapting to new situations, and making decisions that typically require human intelligence. Unlike automation's rule-based approach, AI systems are designed to process complex information, recognize patterns, and even generate new content or insights. A recent industry studies study in 2024 indicated that AI adoption has jumped by 35% in the last year alone, signaling its transformative impact. AI focuses on the "what" and "why," enabling systems to perceive, reason, and act intelligently.
This encompasses various sub-fields like Machine Learning (ML), Natural Language Processing (NLP), and computer vision. AI applications range from personalized recommendations and predictive analytics to self-driving cars and intelligent chatbots that understand context and nuance. AI empowers systems to evolve and improve without explicit programming for every scenario.
Allen Seavert is the founder of SetupBots and an expert in AI automation for business. He helps companies implement intelligent systems that generate revenue while they sleep.
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 studiesuoYCtmZmIHhZt62joJCHVoNL6yLCDP4dUQJlGcIjMmsu1bsjUCsMoKsj1qFaNsigcz+3Kpsd4ZHQT6iyHVkLgTbV9bUalKPcHHvbnlTOKdWjET5RRRAl1DqKRs9wezhle05iOZlhoLL69ghickxzjECZBgu0mVK7xL+Mr4kRQunEL5Lo1h0mGW6PbJmyYIzWB1U0E8MGoY95xC2Pu6NnrJ1nbPnx1qUKbn0HZXPWtYgu3+RvxOMjAtJN5nUZ2O9Faue+l9yrg2TgpOMibl5NgAKfLIFsgxkQci2bMSpJA6hSGeVRXGEP+II9b/a1L66mVp9D1hfkcd7vRI9Qk2PmspeGG1xDQF4BqzRZ3nRkYQlrRy1Ax8mvIw7UoMtUbrW3FZcw1EJym+MT8foSrul1XCrgnYwYotobL52jAeVVnqm5yxp3DMVFQCerlOnH2VbGOYCzQSQNAt3Or8MgJHnzQatPjH3m45gkIi9d0uDTeO5QfzIP/butWBYI6iaMv6+1tut1jMDffm1C0gmJF7+umOlvHfkAOUbD0HZePIClgu+C5LuT8pllypLGjKBZvllOJxCDMzX59UBQpqBNx/AJim1qzbbrTsPVU6eGyv+8WpJSrYXMmFd9yQU7OV4lcv2Kzt4UowGr4ebZJVYWP/EL9VgXcAPAN5hiRAIzCBpwwwsvk7cSuFsie0wm680lZQvpHGe3S6JUeH2D7DveBK83svP8M6Ajfq1z4rKn74tmAgjWEZCAao8wPC1br4QLld0gl3cxFNQmYD+29GJBCAq1ablWiyRECU0HDDY2Sc0mHEoeoAGkQg5BSrq7dFxyRsXOsS7FPlPfn9MuKhSgxBc8r/MeeInJbIc1/gI5VlL5aUgCa3YydjVOSzAM0C3Ksz5uexFRcgRGkjeIuj4mftkHasBZnM8NpkwHaJidVh2Sgu+84BWhx2wqGYpoPrrG970eQGfYCx7dom6LqTakhJATF2YhV20A+IhLj+NZGbGNpd0UWhF3ts2HsulQa+I34rbzmxCMSHDPO1v1khFSS45LMf7CPCgOWaqshgnVwUmt0CWkCTpEw4iHmzMogloAze0b6AGV6TrbvADnywBLXpE64pM+gjCRnkCAEQ0wg2XO3WsMPoJsNkIlipBQ3AO5tuzuQU4S0m5EhhO7bPBlxM6qSiyAAAAAACqGYaXkc9yLkzWfQoa8AAABI8AAAC5mIEN5nYIAJqg2CjRNxAaKfcjAYf/IeicenffAHMDHmGipDoABULJ3RpcJB9KR5NWJbwUQk+AvXUKk2coNHyhjmwJ71ucO4+T+UtmfjyGsX0s7C6Tjx1zU80Hd+/EU4eS4yO+Jnw0e6PAfpzzpwRzBwfJa1DIUellMKO4LebajM8OAwmR2UshEZ8OoC/v6f3w2Rqn1jN9IsXGzypb4Z/WVt5t98aNDdKb/Nbhs6msPvnO+fdPiwMX+gEWxGnS8m1zqwo004y46Yny0qul49MOO/QP/P3UjKJjoB7UjYfkEICAHN6hfCtW5Pu8fV4/GhuDEhqil3RgMxEmxJiiLK00qV6LrUGsDvlO2zGqXUNyrzlOesNfP8uOfiqLNejVvkfZXO9tFWdH0f4X6tx2Ox2YvHCpaby/z0V+0t9+c61xwzbj3EMpEowawVuJvsArmV3D9FrWWHiGa5b6FhcUzWwtZsPM3jqPO0hekpeS9tdTQ6M3n3dCoaW3xEswnMkCoLJuzgcS2LIKI7wDTJnSnR5Arw+jqqEBgKBhOFEsO8Nv3YXVbeCVN9g+DPDW3PDzWiZGuzATPBwxK/uMs/WcE5l3lPfcG7VgWRMl48EAIeO+r3d3ktUzW6qqVjRmrDDg0EuuwcJYvOV/ZbJiTXCW6RrQcypKxSupAoagEvdNmwQLRIHQ7RS5Dl7fM203M5zvDJZblXygJ5kkPFgeD9N8uBLcaiC2xOG4CjsMrblLdcFRQXbruFKHIdxROL5YYzzskJsXLEcr1NoPvumu0MB3fXzyk76U91DAKD2GmjEtk8j2IUHJaNGh66h9jlKKZ0xHZ5DsxnJwCRzfySaQAkQTa3oM8DZP/EYbBmWvx/wO1t6jjoA4LlZaAuY9dR3Im0mVw4YsSLSQmDH/XWNWxWLunCz+3wMOvkhTwUehif78gkCKf3GEqyJxyw4FPHUtW5FPx1XgtydLlmVmVww1fZchcF0hOJRACqvtOI8US5x6N5fhrv4gfBELd2s+klGTPMV3udE8zgGxXHKwB/b8cwv+Ewtau40mB/YabrMMx+nJjU2O1ZE/ryRh/LmRQgyF/r+X/0NglNBnlpOwtN8867McWV5mfIfxT9vLKFMAn6Cr9chFIC6ukM+/D10mVb7sKKFd4GMH+Fftowc1hPJJgnEUeQSSMkyHKeI6MdJNgIUfs7y5W02BMnmqKv3ZEy7ysbKoAPBMuS8FbCQc8NuF0JgL0PZgXG87FrfQZm/yZ6PKCiBxEuDJc19cvc9Y4V2CyLY9zpN5jyNCNfpbuNwDn6vfWQuvqyxGLmnJdfEx6fxq/aJ2c0jNkbS7gk5JAMpPue7ldpWsAQNAtDHSl8GxuOfdv/30KaZhspkhW0vVf6Y+QiNPvRkr2mkq+if5dXxDalwW7lpsGD0NFnhJK63nnhD0e4NnyAA4N0kLn6909UrdhE7r1dXiY/g3vwVXIGZsGUrW18hC9XvQT5JOcj0vlN9kpTL3Q0PxXEW1oArwK1EeWbVRdeuPsbWGsQxr9+f6GHjwAlZxpORAhWcm2AaRMaUdxsq0U0HL3b2R2UZkBniaQZ1ybd0/iie3R/Q8dDkBC0T3miOMzNYsQLcDEZJ/aaL7ofXlsq6Y2vz870SmU7VOD6175gGwthsah6UwJmWuNuP1Txpob514RRr1atuAKXXA1mSXUZauF19E+oAPbZR/hzL7DRdHuoneAmmbbRWj0p5X6gzh06JnTZNV/uzGl2W7fdYbOc2dMI8+T82GNT+KQYid4y3D6yyCqlitlGiGuRfno1qKSNVjy8pVL+FI6dQjos3Hc0NLW5zXw832l7BPJTWMW5JoJrsnyCrEgm0pgLRwmIu+0dldmnnWDbhPd1QmBFdLbjfH5EovLP0YN4UQLSiPfLBFYEkdnqSrp5FaZgOEebeRopG8WSECzOji813srOh4xJrv7rN8DGf9mm2AzKWB+3ybI5Mm8GfpvuNKBV+trv/NTNOm+nMUmCu5ifWtIw/4ixMBAO2RM7eFMqS8UMgO/QOXxCI3yaT29POVT2CbuQY4YnSCJh88Jdugp141YBPTYUc6mhoLIntDdXPPZtkBrcAoL5G7JsHIPAhSClksyll6ke5ESTclxxOCEwTHuiuvCGe9MGo23bZLECdtN5Ltsz7NW4oB8SyxeHCZSVF/jGORt0W5oenrrFJcwBEovbbYD5iwJ82hZtH21B9rjdehDXeIm3Kt0NSqhno6ZkzGw9xVz5CW2eCinqAzYiLkz63SqXt46BkDmGntxF72iyqnJDCg53CHJcjp5wk9Uc/omM4fOrrZneoyJaWspMyYVwwJUwZywFwBKg772de7Fz1HycTuZ3Xkh13Nz5W+cZYXVMpBy9mghnJnTXXnv4m8JIM+hysSsPbj4ilSvAQD5ibNQg/lKf9m20U/F/xBWRbQ/Q/5CUk+PRqEVL9ooWb8FtBPfAHJk/JGqzIVUGVAq5yDwsbtWM1Tbjz3nyPJF6/ZWz7F5clghaDg45IrL7jV8xZAHjv8rgMmM6wmoB6U1rVtF/gQwcNynsP8CRnIEz1SEN5KsGwwud5NKjShRAxcsbE6ZFgrf7FfankTPY879mVUWDim3qOdJ0AK794i1C1K3mt9yQ5sE6g72DTCbfLcwKc6f17/C/77q4sGJuu358Jrag+c8Gu3mjuxDPRhwMSADt2032nBhwmqXq6JaB/SECs5JotWJlWMSiUaPzcbxXKjlb/CSn+yX1zaHBwxAKmgyqrpL6yY87f+yFI7YaDcmVkeJXrp9k3HikwHdJq5ZuMZm6ECjApSX+L6S4MkjnrxhFHkKGDX+CNXMCCEUz19P+gGfjDovAyPr4bT0l7aKeT56iY6ylfWi67rlE8s7QtMuK7EiAQjEwCChYitMqt+BdFcggPuIMZta7CwAnbwz+4ZOGOX3LBRqyVrnrE3kbE4bXph8/p7DRIL37aZNh/tmEan/2NJEIh9y/9pXABUDiE85PsXuCMa0ePNCmlPmAkq7qBSkCEQh80puZAX2PhhVy2YnbP8lavCoPVJdIPSQAWIbBRUJ42oUYfebMIJ40cf3n5w3xz8uhb3UixU1LM7IYHHRo5soB8RAk9cJP5pufDlSm4S6rPnMAAs9hGU+HOeB63SO/sPUhn/MhL3tTlzNGiWvWR6UN/HvFocMFwBScTToN90bSxUvhGBpsAIEzMapIRgSMsQ8IAWHMVKbf4CWmEUSP3x58myHdW28sbNpOEiOy0QN54TDQWUEPq/iXFGoJytgQ9AZ6OuLO6Suo4kYgRPCOf0lqpxMgw2ykwHQWQzSSazVb056Ami2Xy6I+/C3USCtHcly9YtL0aXoDPLCiN9WmcYuc0U0Ruha1d7k+Ph2xLwpsBGYJo6JlGM54Y7J6ttfFpnwIvU1thYPlcqQRvPFRQic9SlQD79yCRPCQVkk1MXDLCEn9AAAr0++ybkrEKYESBV3pC8Hg8eWwM9RXN6ZRA8EoOHeeKAvcvCWYaqYUp51V/C2DUaytwnP1KFT0jBFWAWVSuVFXApCvfuwuSnqUf4iXRSV/Cj/ttK4OEPekKsF3kAUPXuk8KHmfUCVpAqfIn1yd5eGz5JgiGz53RrzCC1G4MWcPFvDEuOSu/XGPfZkeB2+J1yTN1QsP4DE/+0k4yui3E7puepkXB4Jw0mlV/uOTcGdFSFG41eRRs83oEQ3rKyREkefwpK56OMEMAl+f4+am+/fYf8Wpindustry 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" alt="difference between automation and ai infographic" class="img-fluid body-image" style="width:100%; height:auto; margin: 2rem 0; border-radius: 8px;" />
The Core Difference Between Automation and AI in 2026
The fundamental difference between automation and AI lies in their approach to problem-solving and their capacity for learning and adaptability. Automation executes pre-programmed steps; AI learns and makes intelligent decisions. In 2026, this distinction is more vital than ever as businesses seek not just speed, but strategic insight.
"So I’m gonna be a realist and the truth is AI will devour jobs. But the thing is, we can also use AI to give people skill architecture that they wouldn’t have had otherwise. Your infrastructure relies on people. People knowing how to use AI to it’s full potential." – Allen Seavert, Founder & AI Architect at SetupBots. This quote highlights that while AI can displace certain tasks, it also creates new opportunities and demands for enhanced skills, emphasizing its intelligent, adaptive nature over mere execution.
Decision-Making: Automation follows rules; AI makes decisions based on learned patterns and data analysis.
Learning: Automation does not learn; AI continuously learns and improves from new data and experiences.
Adaptability: Automation requires reprogramming for changes; AI adapts to dynamic environments.
To further clarify the difference between automation and AI, let's examine their key characteristics in a comparative table, highlighting their distinct roles in the 2026 business landscape.
FactorAutomationArtificial Intelligence (AI)
Core FunctionExecute repetitive tasks based on rulesLearn, reason, and make intelligent decisions
Learning CapacityNone; static rulesContinuously learns from data
AdaptabilityLow; requires human intervention to changeHigh; adapts to new situations and data
Decision LogicPre-programmed logic and conditionsLearned patterns, algorithms, and inferences
Problem ScopeWell-defined, structured problemsComplex, unstructured problems
Data RequirementStructured data, clear inputsLarge datasets, structured and unstructured
Why Understanding the Difference Between Automation and AI Matters for Businesses in 2026
In 2026, conflating automation and AI can lead to misallocated resources and missed opportunities. Strategic clarity on their distinct roles enables businesses to truly "build for the logic." It's not about choosing one over the other, but understanding their synergy.
Optimized Resource Allocation: Automate the mundane, apply AI to the complex.
Enhanced Innovation: AI provides insights for strategic shifts; automation handles the operational execution.
Competitive Advantage: Businesses that strategically integrate both gain significant market lead, with 68% of leading companies reporting competitive gains from AI-driven automation.
Implementing Automation and AI Strategically: A Step-by-Step Guide
Achieving optimal business outcomes in 2026 requires a thoughtful, integrated approach to both automation and AI. Here's how to implement these technologies strategically, keeping their unique strengths in mind:
Step 1 - Identify Clear Objectives: Begin by clearly defining the business problem you intend to solve. Is it improving process efficiency (automation) or gaining predictive insights (AI)?
Step 2 - Assess Current Processes: Map out existing workflows to identify repetitive, rule-based tasks suitable for automation, and complex, data-rich areas where AI can add value. Consider our AI strategy consulting to guide this assessment.
Step 3 - Data Infrastructure Readiness: Ensure your data is clean, accessible, and robust. Automation thrives on structured data; AI requires vast, diverse datasets for effective learning.
Step 4 - Pilot and Scale: Start with small, manageable pilot projects to demonstrate ROI. Learn from these initial implementations and then scale across the organization, iteratively improving systems.
Step 5 - Continuous Monitoring & Optimization: Deploy analytics to track performance of both automated processes and AI models. Regularly review and optimize for efficiency, accuracy, and evolving business needs.
Common Mistakes in Distinguishing Automation and AI
Confusion regarding the difference between automation and AI often leads to common pitfalls that can hinder digital transformation efforts. Avoiding these mistakes is crucial for successful implementation in 2026:
Mistake 1: Treating AI as just "Smart Automation": While AI can automate tasks, its primary power lies in intelligence and adaptation, not just execution. Expecting an automation tool to perform AI's learning capabilities will lead to disappointment.
Mistake 2: Over-automating Complex, Unstructured Tasks: Trying to automate processes with high variability and subjective decision points using traditional automation tools is a recipe for failure. These are prime candidates for AI-driven solutions.
Mistake 3: Ignoring the "Human-in-the-Loop": Both automation and AI perform best when integrated with human oversight and collaboration. Don't completely remove human judgment, especially during the learning phases of AI.
The Future of Work: Bridging the Difference Between Automation and AI in 2026
As we advance into 2026, the discussion around the difference between automation and AI shifts from mere definition to strategic synergy. The future isn't about machines replacing humans entirely, but about augmenting human capabilities. "In third grade, my teacher tried to convince me, but handwriting was really important and I told them no you could just use a computer. Today that’s like somebody telling you that you need to learn code when there is AI." – Allen Seavert. This analogy underscores the rapid evolution of skillsets required in an AI-dominated world.
"With AI don’t think anybody really sees exactly what’s coming," notes Allen Seavert, emphasizing the unprecedented nature of this technological shift. The real value comes from intelligently combining both: automation handling the routine, AI handling the insight and adaptation. This integrated approach allows businesses to achieve hyper-efficiency and unparalleled innovation simultaneously. "Build for the logic" means designing systems where each technology plays its optimal role.
Frequently Asked Questions About the Difference Between Automation and AI
What is the primary difference between automation and AI?
The primary difference between automation and AI is that automation executes predefined tasks based on rules without learning, while AI learns from data, adapts, and makes intelligent decisions, often in complex or unstructured environments.
Can AI replace automation in 2026?
No, AI will not replace automation in 2026; rather, it will enhance it. AI can make automation more intelligent and adaptive, but traditional automation remains crucial for repetitive, rule-based processes that don't require learning or complex decision-making.
How do businesses determine whether to use automation or AI?
Businesses determine whether to use automation or AI by assessing the task complexity, data structure, and need for learning. Simple, repetitive, rule-based tasks are for automation. Complex, data-intensive tasks requiring decision-making and adaptation are for AI.
What are the benefits of combining automation and AI in 2026?
Combining automation and AI in 2026 offers benefits like increased efficiency, enhanced decision-making, greater adaptability to market changes, reduced operational costs, and the ability to innovate faster by freeing up human capital for strategic work.
Key Takeaways
The difference between automation and AI is foundational: automation executes rules, AI learns and decides.
In 2026, businesses must strategically deploy both to achieve optimal efficiency and intelligence.
AI augments human capabilities and demands new skill architectures, rather than simply replacing tasks.
Successful implementation requires clear objectives, robust data, and a phased, iterative approach.
Ready to Transform Your Operations with Automation and AI?
In 2026, understanding the difference between automation and AI and leveraging both strategically isn't just an option—it's a competitive imperative. SetupBots specializes in helping businesses intelligently integrate these technologies, crafting custom AI and automation solutions that deliver measurable ROI and compound value over time.
Not Financial or Legal Advice: The information provided is for informational purposes only and does not constitute financial, legal, or professional advice. Consult with qualified professionals before making business decisions.
No Guarantees: Results vary by business. AI implementations carry inherent risks, and we make no guarantees regarding specific outcomes, revenue increases, or cost savings. Past performance does not guarantee future results.
AI Limitations: Our AI analysis tools may produce errors or inaccurate recommendations. All outputs should be reviewed and validated by qualified professionals before implementation.
AI Experimental Site: Most content on this site was created with powerful AI tools. While we strive for accuracy, AI can make mistakes. Please verify important information independently.