Artificial intelligence no longer needs a special day to prove that it matters. AI is already influencing financial decisions, workplace operations, healthcare, software development and customer experiences.
That is precisely why AI Appreciation Day, observed on July 16, is beginning to carry a different meaning in 2026. The conversation is moving beyond celebrating what AI can do to asking harder questions about how it is being deployed, governed and measured.
AI Appreciation Day was established in 2021 by Jason Robert Kirton through AI Heart LLC. It was created to recognise the contribution of AI to society and encourage discussion around responsible innovation and ethics.
The observance is listed by National Today, which catalogues unofficial awareness days. It is not recognised by the United Nations or any national government.
From Curiosity To Enterprise Reality
When AI Appreciation Day was introduced, artificial intelligence was still largely discussed as an emerging technology. Enterprises were debating whether they needed an AI strategy and where the technology could be tested.
Five years later, that debate has largely ended. AI has moved from innovation laboratories into business operations.
Enterprises are now using AI to assist employees, automate workflows, detect fraud, forecast demand, support software development and improve business decisions. Generative AI and agentic AI have accelerated this shift by enabling systems to understand context, generate content and, increasingly, perform actions.
However, adoption has also exposed new concerns. Businesses must determine whether their AI projects are generating measurable value, whether employees have the necessary skills and whether AI-generated decisions can be explained and audited.
Why July 16 Now Matters Differently
Industry leaders increasingly argue that the next chapter of AI will not be determined by the number of pilots that companies launch.
It will be determined by whether those projects can move into production, operate securely and deliver sustainable business outcomes.
AI Appreciation Day is therefore becoming less about admiring the technology and more about evaluating its consequences.
It offers enterprises an opportunity to examine whether AI is improving human decision-making, removing low-value work and helping employees concentrate on creativity, collaboration and complex problem-solving.
It is also a moment to ask whether organisations are building governance and accountability into AI systems from the beginning rather than adding controls after deployment.
The industry has entered a phase in which simply adopting AI is no longer a differentiator. The real differentiator will be the ability to use it responsibly, consistently and at scale.
In that sense, AI Appreciation Day 2026 is not merely a celebration. It is a reminder that the technology’s most demanding chapter may only be beginning.
AI Appreciation Day 2026: Voices from the industry
Gaurav Rai, Assurance Automation Leader, EY Global Delivery Services India LLP
“AI Appreciation Day is an opportunity to reflect on how artificial intelligence has moved from experimentation to becoming a business-critical capability. As AI expands into reporting, controls, risk management and decision-making, organisations are placing greater emphasis on governance, transparency and accountability.
Responsible AI is therefore becoming central to enterprise adoption. Organisations with real-time monitoring and governance structures have reported 81% gains in innovation and 48% cost savings, highlighting the importance of strong data foundations, model integrity and clear accountability. The organisations that create lasting value from AI will be those that combine technological innovation with human judgement and maintain confidence in the outcomes AI delivers.”
Dr. Ashvini Jakhar, Founder and CEO, Prozo
“People and organisations will increasingly be either users or creators of AI. At Prozo, embedding AI across functions has reduced some execution timelines to nearly one-tenth of their earlier duration. The real opportunity is to make AI an integral part of how organisations think, operate and grow.”
Siraj Alimohamed, Global Head – Data & AI, Experion Technologies
“AI can simplify complexity, personalise experiences and improve decision-making, but its value depends on context, intent and responsibility. Organisations generating real value are not simply adding AI to existing operations; they are rethinking processes, products and business models around it.”
Dr. Sanjay Katkar, Joint Managing Director, Quick Heal Technologies
“AI is becoming the nervous system of Digital India, but it is also reshaping the cyber threat landscape. AI-assisted phishing, identity compromise and data-integrity attacks make responsible and well-governed AI a national cybersecurity imperative. AI’s true value will be measured by how effectively it protects people, businesses and India’s digital future.”
Parag Khurana, Country Manager, India, Barracuda Networks
“Sustainable AI adoption requires security, governance and innovation to move together. Organisations must understand which AI tools employees are using, establish clear policies and protect sensitive data. Effective governance should enable innovation rather than restrict it.”
Brijesh Agarwal, CEO, Busy Infotech
“For India’s MSMEs, AI should remove repetitive work and simplify complex decisions without taking control away from business owners. Adoption will depend on AI being accurate, explainable, secure and affordable. Its value should ultimately be measured through time saved, errors prevented and better decisions.”
Paritosh Gandhi, Country Head, India, Infobip
“AI can help brands create more relevant, consistent and human customer experiences at scale. However, this requires privacy, consent, governance and human oversight to be built into the technology from the start. Responsible AI should help businesses move from experimental bots to transparent and accountable customer journeys.”
Niraj Kumar, CTO, Onix
“AI becomes genuinely useful when it understands an enterprise’s data, systems and business context. With this foundation, organisations can move beyond isolated pilots and use AI as an operating layer for faster, more dependable decisions. Appreciating AI means recognising its ability to make enterprises fundamentally smarter and faster.”
Ankur Kanaglekar, Vice President – India, Thales
“AI’s potential will be measured not by how quickly it is adopted, but by how much it can be trusted. In cybersecurity, defence, aviation and critical infrastructure, AI must be secure, transparent, resilient and subject to meaningful human oversight. Trusted AI should empower people while protecting critical data and operations.”
Dan Mountstephen, GM and SVP, Okta APJ
“As enterprises adopt multiple AI platforms and agents, the central challenge is no longer choosing the right tool but maintaining consistent governance. Identity must become the control plane for AI agents, APIs and service accounts, providing visibility, access controls and lifecycle management. A strong identity foundation will allow businesses to adopt AI safely and flexibly.”
Sohail Mirchandani, Chief Operating Officer and Co-Founder, EkoStay
“Hospitality at scale is an operations challenge, and AI is becoming the operating layer behind it. Dynamic pricing, automated guest support, predictive maintenance and demand forecasting help us deliver consistency across a distributed portfolio. The warmth of hospitality remains human; AI makes that experience repeatable at scale.”
Rakesh Kumar, Infrastructure Solution Head, Vertiv
“AI cannot scale without the infrastructure beneath it. High-density computing places significant pressure on power and cooling systems, and getting this layer right determines whether AI can operate reliably beyond the laboratory. Resilient infrastructure is the foundation of sustainable AI adoption.”
Sachin Panicker, Chief AI Officer, Fulcrum Digital
“The real test of enterprise AI is not whether it succeeds in a pilot, but whether it performs reliably across live business processes. Scaling AI requires clean and governed data, accountability built in from the start, and business leaders who own measurable outcomes. AI is forcing enterprises to strengthen the foundations they have often neglected.”
Pratap Mane, President and Country Head – India, Colt Data Centre Services
“As AI moves from pilots to production, the focus is shifting to whether the underlying infrastructure can support it at scale. Resilient power, scalable compute, high-performance connectivity and sustainable data centres will be as important as advances in AI models. Long-term advantage will belong to organisations that invest in both smarter AI and the infrastructure powering it.”
Nupoor Mohan, Founder and CEO, The Full Circle
“Mental healthcare in India has long faced a discovery problem before a capacity problem, and that is precisely the layer Artificial Intelligence (AI) is beginning to transform. In a country where nearly 70% of people with mental health conditions do not receive care, the journey often breaks down at the very first step.
Someone in distress may search online, sift through endless listings without any clear way to evaluate them, shortlist therapists largely through guesswork, and eventually abandon the process out of exhaustion. Intelligent systems can help rebuild that journey.
A person can now describe what they are experiencing in their own words and use technology to better understand the kind of support they may need, explore suitable options, and know what the next steps could look like. This can help them arrive at a first session better prepared and less anxious about the unknown.
Behind the scenes, data-led therapist matching can align an individual’s needs, goals, and circumstances with the right professional, replacing what was often a trial-and-error process. Platform intelligence can also help make care more consistent, affordable, and stigma-free at scale.
However, we remain equally clear about the boundary. At The Full Circle, technology’s role ends where clinical care begins. Real progress is built session by session with trained, licensed therapists, drawing on clinical expertise and genuine human connection that no model can replicate.
AI’s role is to help people reach the right door faster and better prepared. Our professionals take it forward from there.”
