AI Appreciation Day lands at a moment when artificial intelligence has become one of the most influential technologies in modern history. More than 53% of the global population adopted generative AI within three years, a pace that outstrips both the personal computer and the early internet. Meanwhile, 900 million people now use ChatGPT every week, a figure that doubled in a single year and reflects AI’s shift from curiosity to daily utility. These numbers aren’t just impressive; they accentuate how deeply AI has intertwined itself into how people learn, build, communicate, and solve problems.
Across the enterprise landscape, the acceleration is even more striking. 88% of organizations now use AI in at least one business function, yet only 6% are capturing meaningful financial impact, which shows a widening gap between adoption and realized value. At the same time, global corporate investment in AI surged to $581.7 billion in 2025, identifying a 130% year‑over‑year increase, cementing AI as the most capital‑concentrated technology in venture history. These statistics set the groundwork for a conversation about innovation and the strategic, operational, and changing tides required to turn experimentation into impact.
This article brings together industry experts whose perspectives illuminate what these numbers mean in practice, how organizations are navigating adoption, where value is emerging, and what struggles remain. Their insights add human context to the data, revealing the daily realities behind the charts and forecasts. As we celebrate AI Appreciation Day, their voices help us appreciate not only the technology’s rapid ascent, but the people behind it.
Always-on AI
AI Appreciation Day is a good moment to ask what your AI is really delivering, not just whether it’s running. Customers across banking, healthcare, retail, insurance and higher education have already made their expectations clear: they want help now, in their language, on their channel. We’re seeing enterprises meet those expectations every day. Banks are delivering 24/7 service to millions of customers while reducing reliance on physical branches, healthcare organizations are expanding patient access and reducing call handling times, and universities are giving students answers when critical decisions cannot wait. Our production data shows that up to 39% of customer demand happens outside traditional business hours, making always-on AI an essential part of the modern customer experience. The organizations embracing AI today are creating an always-available extension of their business that delivers better customer experiences while empowering employees to focus on the work that matters most. That is the lasting advantage AI will bring to the enterprise.
Responsible AI Adoption
AI Appreciation Day is a useful moment to recognize how deeply AI has entered everyday work. But appreciation should not be confused with uncritical adoption. The more mature conversation is about what it takes to adopt AI responsibly, defend the systems it touches and govern its use with discipline.
AI is no longer only a productivity tool that helps people write, search or analyze faster. It is moving into workflows where it can recommend actions, trigger processes, access data and influence decisions. That changes the responsibility for every organization using it. The question is not simply how much AI can improve productivity, but whether leaders understand where it is being used, who is accountable for it, how it is secured and when human judgment must intervene.
For AI to be sustainable, organizations have to look beyond immediate efficiency gains. The real measure is whether AI can be scaled without weakening trust, increasing unmanaged risk or leaving people unprepared for the decisions these systems now influence. A system that is powerful but poorly understood, widely used but weakly governed or difficult to secure will eventually create more pressure than progress.
The real test for enterprises is not whether they can deploy more AI. Most already can, and many already are. The test is whether their people are prepared to work with AI, question its outputs, defend against its misuse and govern autonomous action before it creates business risk.
That is what AI Appreciation Day should remind us of. The future of AI will not be shaped by enthusiasm alone. It will be shaped by the discipline organizations build around AI: Adopt. Govern. Defend.
Jay Bavisi, Founder and Group President, EC-Council
Augmenting Not Replacing The Human Experience
The best AI is the AI you barely notice. It quietly removes friction, accelerates routine work, and gives people better information to make better decisions. On AI Appreciation Day, it’s worth remembering that the real value of AI isn’t replacing human expertise. It’s augmenting it. When intelligence is embedded into workflows, operates transparently, and keeps humans firmly in control of every important decision, technology becomes less visible and far more valuable.
Todd Hsu, President, Ferroque Systems
Turning Complexity Into Action
On AI Appreciation Day, I think less about the technology in the abstract and more about what it can make possible for teams operating under real security and compliance pressure. In the Defense Industrial Base, organizations are expected to protect sensitive government data, manage identities across increasingly cloud-native environments and prove that CMMC controls are working in practice. That creates a constant stream of alerts, evidence, access decisions and risk signals that can overwhelm even mature teams.
Where AI becomes especially valuable is in helping security teams turn that complexity into action. It can identify patterns faster, surface unusual access behavior, prioritize the risks that matter, support documentation and make continuous monitoring more achievable. For contractors preparing for a CMMC assessment, that kind of speed and visibility can help bridge the gap between security that exists on paper and security that can be demonstrated day to day.
But appreciation should not become blind trust. AI is not a substitute for governance, accountability or operational discipline. It can make strong processes faster and more scalable, but it cannot make weak processes defensible on its own. The organizations that will benefit most are the ones using AI to strengthen security processes they already own, not bypass them. For the DIB, that means applying AI responsibly to support identity management, assessment readiness and stronger protection of the data our national security ecosystem depends on.
Ryan Heidorn, Chief Technology Officer, C3 `
Proper Usage Oversight
AI Appreciation Day is the perfect moment to move past the hype and understand how AI can actually create value inside an enterprise. That value isn’t simply created through better models and more tools or agents. AI creates value when people can use it to eliminate painstakingly repetitive tasks, make better decisions, experiment safely and securely, and move faster.
The challenge in 2026 is that most organizations are trying to govern a constantly evolving, dynamic technology with processes built for a much slower generation of software and controls that have become fragmented over time. Employees are using these new tools before IT and security teams have had a chance to review them; new AI features appear in SaaS applications without as much as a notification; and, on top of that, agents are starting to take actions across systems. The cost of using AI is skyrocketing without proper usage oversight and optimization controls. Governance can’t just apply to a policy or onboarding document anymore; it has to operate in real time where AI is actually being used.
True AI appreciation means recognizing both the technology’s promise and the reality of how it operates within a given organization. To get the most value out of AI, your company needs visibility, clear digital and interpersonal controls, training, and confidence to keep internal policies aligned with the real world as AI continues to gain more autonomy.
Shiv Agarwal, Co-Founder and CEO, Singulr AI
Redesigning Work Around AI
AI Appreciation Day should be a reminder that adoption matters more than admiration. According to Gallup, 65% of employees in organizations that have implemented AI say it has improved their productivity and efficiency, yet only 12% strongly agree that AI has fundamentally changed how work gets done in their organization. That gap is the real story.
AI is no longer just a headline, it is becoming part of how work gets done. The next challenge is not simply deploying AI; it is redesigning work around it. As intelligence becomes more accessible, the differentiators become judgment, trust, context, and the responsibility to apply AI well.
AI Appreciation Day should remind us that AI is powerful. But more importantly, it should remind us that the real work is helping people and AI operate better together. In a world where intelligence is becoming abundant, advantage will not come from access to AI alone. It will come from knowing where to trust it, where to challenge it, and where human judgment matters most.
Ashutosh Garg, CEO and Co-founder, Eightfold AI
The Digital Infrastructure
Artificial Intelligence Appreciation Day shouldn’t just be about appreciating AI. It should be about appreciating the digital infrastructure that makes AI possible. Around the world, organizations are discovering that AI is only as intelligent as the networks, edge environments, and data ecosystems supporting it. The next wave of AI innovation won’t be won by whoever builds the biggest model. It will be won by whoever can move data faster, process intelligence closer to where it’s created, and deliver secure, real-time insights at global scale.
That is why network technology and edge computing have become strategic enablers of AI rather than background infrastructure. As AI moves from centralized cloud environments to factories, hospitals, retail locations, financial institutions, and smart cities, intelligence must move closer to the edge, where milliseconds can determine outcomes and resilience becomes a competitive advantage.
Richard Boudria Jr., Chairman and CEO, BCN
Cutting Through the Noise With AI
As modern environments become more distributed and complex, it’s no longer enough to collect more telemetry, you have to make sense of it. AI helps engineering teams cut through the noise, identify issues faster, and focus on what matters most. By surfacing anomalies, accelerating root cause analysis, and providing meaningful context, AI enables engineers to spend less time investigating problems and more time improving the reliability and performance of the systems they support.
Nestor Zapata, Vice President Autonomous Ops & Intel, Data & AI, Arctiq
AI is Becoming Operational Infrastructure for CFOs
The first generation of enterprise AI proved that machines could generate answers. The next generation has to prove they can generate business outcomes. Finance is where that transition is happening first because every recommendation must be explainable, every action must be governed, and every result must stand up to scrutiny. That’s why AI Appreciation Day is no longer about celebrating possibility. It’s about recognizing that AI is becoming operational infrastructure for the modern Office of the CFO.
Rohit Gupta, CEO, Auditoria.AI
Most AI Still Lives in Bits
AI Appreciation Day is a good moment to ask a difficult question: has AI finally moved from describing the physical world to operating it?
Most AI still lives in bits. It shows up in documents, dashboards, and chatbots that read and summarize. Yet, the built world runs on atoms: chillers, elevators, air handlers, and refrigeration, along with the people who keep them working. Traditional building systems can tell you a chiller is underperforming but leaves a person to decide what happens next. Operational AI is what happens when AI moves from describing the physical world to operating it. It connects live operational data across a building’s systems into a single operational layer with real asset context. When a signal fires, it schedules the repair, routes the work order, and adjusts the setpoint directly.
The same layer that predicts a chiller failure in a hospital catches a jet bridge issue at an airport or a refrigeration fault in a retail portfolio. Different assets, same discipline.
Buildings shape health, safety, learning, and how communities function. AI is worth appreciating when it helps run them.
Bert Van Hoof, CEO of Willow
Removing Repetitive Work
On AI Appreciation Day, it’s important to recognize that the greatest value of AI isn’t replacing people. It’s removing repetitive work so people can focus on what humans do best. When intelligent agents handle routine operations and humans lead strategy, governance, and decision-making, AI becomes a force multiplier for innovation rather than a substitute for expertise.
Simon Townsend, SVP of Marketing & Office of the CTO, ControlUp
AI Has Changed the Definition of Identity in the Enterprise
As AI moves from passive assistant to active agent, the definition of identity in the enterprise has to change. We’re giving non-human actors the ability to take actions, make decisions, and touch critical data, often using legacy service accounts or blanket permissions that were never designed for autonomous execution.
If you can’t answer exactly who an agent is acting on behalf of, what its boundaries are, and how to stop it in real time, you don’t have a policy, and without policy comes real security risk and exposure.
Bojan Simic, CEO and co-founder, HYPR
AI-powered Vulnerability Discovery
AI is helping security researchers uncover vulnerabilities faster than ever before, but it’s also accelerating the speed at which those same weaknesses can be exploited, from days to hours. As AI-powered vulnerability discovery becomes more capable, the gap between finding a flaw and seeing it weaponized will continue to shrink.
We need to respond to them faster. AI-assisted, and eventually autonomous, patching will become a necessity, not a luxury, because security teams won’t be able to keep pace manually. But speed alone isn’t enough. The real challenge is deploying fixes safely, with an understanding of business context and user experience. An autonomous system can’t reboot a trader’s workstation in the middle of a billion-dollar transaction or interrupt a CEO during a board meeting just because a patch is available.
The organizations that get this balance right, combining AI-driven speed with intelligent operational guardrails, will have a significant competitive advantage over those still relying on manual processes. AI deserves appreciation because it’s pushing us towards entirely new ways of operating that simply weren’t practical before.
Dhruv Majumdar, VP Security Solutions, Fleet Device Management
Intelligent Tooling & Expert Adversarial Testing
AI is already making security teams faster and more effective, but we also need to be honest about where the industry is today. There’s a growing tendency to assume AI can replace security expertise, when the evidence suggests the opposite. Our research found that 78% of security teams have seen automated scanning tools miss critical vulnerabilities, and support for fully automated pentesting has dropped to just 9%. That’s proof that context still matters.
The challenge is even more pronounced with AI applications themselves. LLMs introduce new attack paths, business logic risks and behavioral flaws that can’t always be identified by pattern matching or automated validation. That’s why we’re seeing organizations embrace a more pragmatic approach: automate what machines do well, but rely on experienced security researchers to uncover the issues that require human judgment. As AI becomes embedded in every business, confidence won’t come from trusting automation alone. It will come from knowing you’ve validated your most critical systems with both intelligent tooling and expert adversarial testing.
Gunter Ollmann, CTO, Cobalt
From Aspirational to Practical
AI has shifted outcomes from what is aspirational to what is practical. In highly regulated industries such as healthcare, AI solutions deliver the most value by helping professionals spend less time burdened with administrative tasks, and more time focused on the work that matters. This is where AI earns trust and delivers lasting value.
Chao Cheng-Shorland, CEO, ShelterZoom
AI Modeled Quantum-enabled Attack Vectors
The threats that will define the next decade of cybersecurity are being built right now, and most organizations aren’t prepared for them. At Quantum Labs, we use AI to model quantum-enabled attack vectors before they materialize, helping enterprises identify cryptographic vulnerabilities in their current infrastructure while there’s still time to act. AI doesn’t just defend against today’s threats. When applied to quantum security, it helps you see the ones that haven’t arrived yet.
Russell Sean, CEO, QuanChain
Giving Time and Expertise Back
When people talk about appreciating AI, they often focus on what the technology can do. I think we should appreciate it for something much more important: its ability to give people their time and expertise back. In healthcare, some of our most experienced clinicians spend huge portions of their day navigating administrative processes instead of caring for patients. AI gives us an opportunity to change that. Not by replacing clinical judgment, but by making that expertise available more quickly, more consistently, and at a far greater scale. If AI allows a nurse to spend more time with patients instead of paperwork, or helps someone access treatment days or weeks sooner, that’s something worth celebrating.
Ganesh Padmanabhan, CEO and co-founder, Autonomize AI
AI is Only as Trustworthy as its Security & Governance
On AI Appreciation Day, it’s worth recognizing that AI is only as trustworthy as the security and governance behind it. As organizations deploy more AI agents, managing machine identities becomes just as important as managing human ones. The future belongs to organizations that can embrace AI innovation without losing control of who—or what—has access to their most valuable data.
Michael Wetzel, Chief Information Officer, Netwrix
The Cost of Adopting AI Without A Plan
Be Aware of And Realistic About Risks
Last year on AI Appreciation Day, I cautioned my peers on the hidden cybersecurity dangers associated with AI. Since then, many of my concerns have materialized, from highly sophisticated AI-generated attacks to accelerated vulnerability exploitation. That’s not to say I am against AI – I’m a user of it myself – but the efficiency and technological advances we’ve seen from AI haven’t come without cost.
An AI agent with too much autonomy and inadequate guardrails can cause major vulnerabilities, blind spots, and challenges that may outweigh the positives. However, as long as companies are aware of and realistic about these risks, they can take action to mitigate the consequences should an AI agent malfunction and delete important data, for example. Part of this preparation should include building recovery and resilience into the foundation of IT infrastructure with Absolute Immutability, ensuring backup data cannot be modified by anyone, not even the most privileged admin, attacker, or agent.
Geoff Burke, Senior Technology Advisor, Object First
Turning AI Into Measurable Business Value
The conversation around AI has shifted. It’s no longer about whether organizations should adopt AI, but how they turn it into measurable business value. That starts with understanding the problem you’re trying to solve, validating ideas before investing heavily, and building the discipline to execute consistently. Technology is only part of the equation. Lasting results come from the systems and processes built around it.
Matthew Meves, Director AI & Data Services, Arctiq
Compliance Complexity
Compliance is complex. It’s a web of relationships between controls, evidence, risks, and frameworks, not rows in a spreadsheet. Our research found 79% of compliance leaders say AI is a significant factor in choosing a Governance, Risk and Compliance (GRC) platform, but most tools just bolt ChatGPT onto databases never designed to understand how controls, evidence, and risks relate to each other. On AI Appreciation Day (more than any other), it’s critical to understand the difference between AI-enhanced and AI-native. We built Strike Graph to be AI-native from day one, with a knowledge graph as the foundation. Our AI doesn’t just read evidence — it reasons about it, testing controls and finding gaps humans miss.
Justin Beals, CEO and founder, Strike Graph
The Gap Between Reality and Expectation
AI Appreciation Day is a moment to ask what we truly appreciate about the tech. Planning a trip or making a poem about your dog is one thing, but what about when the real potential of everyday AI is put to the test where it counts? Look at customer service. Our Consumer Patience Index found that 93% of consumers say legacy automated voice systems rarely or never resolve their issues, and yet 61% expect fully agentic AI to handle the entire service journey within three years. That gap between where we are and where consumers already expect us to be is the opportunity. The companies that bridge that gap will win on efficiency and, just as importantly, on loyalty. That’s an AI story worth appreciating.
Malte Kosub, CEO, Parloa
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