Building the Intelligence Layer for the AI Economy: A Conversation with Ashish Sukhadeve

Building the Intelligence Layer for the AI Economy: A Conversation with Ashish Sukhadeve

The technology industry has never moved faster, and the gap between what is happening and what decision-makers actually understand about it has never been wider. Agentic AI is moving from pilot projects into production. Governments are writing policy in real time. The volume of information that matters strategically is compounding by the week.

Ashish Sukhadeve saw this gap forming in 2017 and built Analytics Insight to close it. What began as a focused AI and data media platform has grown into a global technology intelligence brand reaching over 3 million monthly readers across 150 countries. Its audience includes C-suite executives, investors, technology leaders, and policymakers who need more than news. They need interpretation. In an exclusive interview, Ashish talks about what he has built, where the industry is heading, and why technology intelligence has become one of the most important categories in media today. Here are the excerpts from the interview:

Analytics Insight launched in 2017, before AI became a mainstream conversation. What did you see then that most people were missing?

The mainstream technology press was covering AI and data science as peripheral topics, not as the central story they were becoming. Enterprise decision-makers had no dedicated platform giving them the depth of coverage they actually needed to make strategic choices. The gap was not just editorial. It was functional. Organisations needed intelligence they could act on, not articles they could skim. Analytics Insight was built to serve that need, to translate emerging technology into a real business context and explain what developments actually mean for the people responsible for navigating them. The response from the market made clear the need was large and largely unmet.

Building editorial credibility while simultaneously working with Fortune-listed clients is a difficult balance to maintain. How have you managed it?

Editorial independence was the first principle, and it has remained non-negotiable. Every commercial relationship we have built has operated within that boundary, not around it. We invest seriously in fact-checking, bring in credentialled experts, and ensure every piece of content is built to serve the reader first. Our audience is senior technology leadership. These are people who detect diluted or commercially compromised content immediately. Maintaining rigorous editorial standards is not just a matter of integrity. It is the core reason clients choose to work with us in the first place. Credibility, once genuinely earned, becomes a compounding asset.

AI governance is taking very different shapes in India, the UAE, the US, and the EU. How do you cover that divergence meaningfully, and what responsibility does a platform like yours carry in shaping that conversation?

The regulatory divergence unfolding across these four jurisdictions is one of the most consequential stories in technology today. India is building a framework centered on responsible and inclusive AI adoption. The EU has enacted binding legislation through the AI Act. The US has traditionally favoured lighter regulation with an emphasis on innovation. The UAE is executing a national AI strategy with governance structures designed for speed and agility. These are not just local policy differences. They directly determine how global enterprises plan and deploy AI across markets. Analytics Insight covers each framework in depth through our India and UAE editions. A technology intelligence platform has a specific obligation here: to convert regulatory complexity into strategic clarity for the leaders who have to act on it. We take that obligation seriously.

What was the thinking behind Analytics Insight UAE, and how do you build genuine local relevance without losing what makes the brand credible globally?

The case for a dedicated UAE edition was straightforward. The Middle East was experiencing one of the steepest technology adoption curves in the world, and yet there was no intelligence platform serving that market with the depth it deserved. We made a deliberate choice to build a fully localised edition rather than repurpose existing content. Analytics Insight UAE covers AI, blockchain, cryptocurrency, and big data through a Gulf-specific lens, including UAE-specific regulatory developments, sector-level adoption trends, and market dynamics unique to the region. The brand promise stays consistent: rigorous, independent, forward-looking intelligence. What changes is the context and the local relevance. Keeping those two things in balance is what prevents localisation from becoming dilution.

You draw a distinction between technology journalism and technology intelligence. Can you explain that difference, and where do you see that market going over the next five years?

Technology journalism tells you what happened. Technology intelligence tells you what it means, what it signals for the future, and how to position your organisation in response. For enterprise decision-makers, the difference is the difference between awareness and advantage. Analytics Insight began as a journalism platform and has been moving steadily toward intelligence. Our premium research reports, white papers, and the Analytics Insight Books platform are all expressions of that direction. We use proprietary algorithms and deep market research to identify trends like Agentic AI, Micro LLMs, and Human-AI Collaboration well before they enter mainstream coverage. Demand for this kind of curated, verified, forward-looking intelligence is going to accelerate sharply over the next five years. Organisations under pressure from rapid AI adoption need guidance they can trust and act on. Building the platform that provides it is exactly what we are focused on.

How do you build a high-performance culture inside a fast-scaling media organisation while keeping the editorial independence intact?

The two are not in conflict when the right foundations are in place from the start. Editorial independence at Analytics Insight is not just a stated value. It is an operational standard with clear boundaries that every team member understands and works within. Performance culture is a separate discipline. It comes from clarity of purpose, consistent recognition of strong work, and creating conditions where people feel genuine ownership over what they produce. Earning the Great Place to Work certification in 2025 was a meaningful milestone, but it validated practices we had been building for years before it. The most important asset a media organisation has is the quality of its people. Protecting and developing that quality means building an environment where strong journalists, analysts, and technologists genuinely want to stay and do their best work.

Are enterprises, governments, and the public moving fast enough to keep up with what AI is actually doing right now?

The honest answer is no, not yet, and not across any of these groups. Enterprises are deploying AI tools at a pace that is outrunning their ability to govern those tools responsibly. Policymakers are working within legislative timelines built for a much slower pace of technological change. The public is integrating AI into daily life without a clear understanding of what they are trading or what the implications are. The gap is not a reason for alarm, but it is a reason for urgency. Analytics Insight exists precisely to work on closing it. Informed organisations and informed citizens make better decisions. The ambition is not to slow down what AI can do. It is to accelerate understanding, so that the benefits of AI reach people with clarity and confidence rather than uncertainty and reactive fear.