Will the EU AI Act Slow Europe Down — and Benefit India?
ONESTO MANAGEMENT CONSULTANCY | EDITION 09 | FEBRUARY 2026
By Shashank Ram Malik, CEO, Onesto Management Consultancy
Artificial Intelligence is no longer just a technology race. It has become a regulatory race — and how you position yourself in that race will define your competitive future.
Earlier this month, I was reviewing two very different news items on my desk — one about the EU AI Act’s compliance timelines tightening, and another about India’s IndiaAI Global Summit in New Delhi, drawing global policymakers and founders to the same table. The contrast was impossible to ignore.
Europe is busy codifying risk. India is accelerating deployment.
Both moves are deliberate. Both have consequences. And if you’re running a business that touches technology, supply chains, or cross-border trade — this is a conversation you cannot afford to miss.
1. What the EU AI Act Actually Requires
The EU AI Act, formally adopted in 2024, is the world’s first comprehensive legal framework for artificial intelligence. It takes a risk-based approach, which sounds reasonable until you start reading the fine print.
AI systems are categorized into four tiers:
▸ Unacceptable Risk — banned outright. Think social scoring systems and certain biometric surveillance tools.
▸ High Risk — heavily regulated. This covers AI in healthcare, recruitment, financial services, law enforcement, and critical infrastructure.
▸ Limited Risk — transparency obligations apply. Chatbots, for instance, must disclose that users are interacting with AI.
▸ Minimal Risk — largely left alone. Spam filters, AI in games, and basic recommendation engines.
For high-risk systems, companies must implement conformity assessments, risk management frameworks, human oversight mechanisms, robust data governance, technical documentation, and ongoing post-market monitoring. Non-compliance can cost up to €35 million or 7% of global annual turnover — whichever is higher.
The law phases in progressively between 2025 and 2027. For enterprises operating across borders, AI governance is quickly becoming as business-critical as GDPR compliance once was.
Europe has chosen trust, transparency, and human-centric design as its competitive differentiators. But regulation is never neutral in cost.
2. The Compliance Cost Gap — and Why It Matters
Let me put some numbers on this. Preliminary industry estimates suggest compliance costs for high-risk AI systems could range from 5% to 15% of total development costs, depending on the sector and system complexity.
For large enterprises, that’s manageable. They have legal teams, compliance units, and the infrastructure to absorb it. For startups, it can be existential — extended development cycles, certification delays, legal consultancy fees, and market entry barriers that competitors in less-regulated jurisdictions simply don’t face.
This raises a structural question that nobody is asking loudly enough: Does heavy regulation entrench incumbents while quietly suffocating early-stage innovation? The honest answer is — potentially, yes.
3. India’s Positioning After the Delhi Summit
The IndiaAI Global Summit sent a clear signal: India is no longer content being the world’s back-office IT service provider. The ambition now is to become a genuine AI innovation powerhouse.
India’s current AI strategy leans on a very different philosophy — public–private partnerships, AI infrastructure expansion, startup support, and sector-specific deployment across agriculture, healthcare, logistics, and governance. Most importantly, the regulatory approach is deliberately light-touch, focusing on principles rather than prescriptive rules.
What this creates in practice is a significantly faster environment for prototyping, experimentation, and commercialization. Lower upfront compliance burden. Less regulatory uncertainty in the early stages. The freedom to try things and course-correct quickly.
In essence, India is betting on scale and speed. Europe is betting on safety and trust. The world needs both — which is precisely where the opportunity lies.
4. Could Regulation Shift Where Innovation Happens?
Historically, innovation moves to where friction is lowest, and capital is most agile. If EU compliance adds meaningful cost and delay, and investors are optimizing for faster commercialization, it is entirely plausible that AI product development increasingly originates in more flexible jurisdictions — including India.
But there is a powerful counterargument, and it deserves serious consideration.
The EU AI Act may well create what economists call a ‘Brussels Effect’ — similar to what happened with GDPR — where global companies design their products according to European standards simply because access to the EU market demands it. If that plays out, Indian startups targeting European clients will still need to comply, regardless of where they build.
The real strategic question then becomes: will companies build first for speed and retrofit for Europe later? Or will they design for global compliance from day one?
My view, for what it’s worth: the companies that get ahead of this early — that treat compliance as architecture, not an afterthought — will have a structural advantage that latecomers will struggle to match.
5. AI Regulation as the New Trade Barrier
Here’s something that hasn’t received enough attention in mainstream business media: AI regulation is quietly becoming a new form of non-tariff trade governance.
Under the EU AI Act, AI embedded in exported products may require conformity documentation. AI-powered medical devices, HR platforms, and fintech tools entering the EU will face certification hurdles. Cross-border data flows must align with both GDPR and the new AI governance frameworks.
This means compliance is no longer just a legal obligation — it’s a competitive filter. For Indian firms targeting EU markets, early alignment with European standards could become a genuine market differentiator. For EU firms, heavy domestic regulation may push certain R&D activities offshore while keeping compliance functions at home.
The result is a hybrid model of AI globalization — one where the rules are written in Brussels, the code is built in Bengaluru, and the value is captured globally by whoever understands both.
6. Two Futures — Which One Are We Building?
I see two plausible scenarios playing out over the next five years:
Scenario A: Regulatory Drag
Europe slows in frontier AI development, losing startup momentum to more agile ecosystems. The regulatory burden concentrates innovation elsewhere, and Europe becomes a consumer rather than a creator of AI capability.
Scenario B: The Trust Premium Advantage
Europe becomes the go-to market for ‘safe AI’ — attracting enterprise clients who prioritize reliability, transparency, and legal certainty. Meanwhile, India becomes the scale laboratory, the deployment engine, the applied AI powerhouse. If Europe sets the rules and India builds at scale, collaboration — not competition — defines the next decade.
I think Scenario B is more likely. But only if decision-makers in both ecosystems are honest about the trade-offs and intentional about building bridges between them.
7. Three Structural Shifts Worth Watching
▸ AI as Infrastructure — AI is transitioning from a product differentiator to an embedded utility. It will become invisible infrastructure in energy, logistics, finance, and public services. The governance question shifts from ‘how do we regulate AI products’ to ‘how do we regulate AI-dependent systems.’
▸ Compliance as Core Strategy — Legal architecture is becoming as important as the codebase itself. Companies that invest in regulatory intelligence early will outcompete those that treat it as a checkbox exercise.
▸ Geopolitical Fragmentation — Divergent AI governance models across the EU, US, India, and China will reshape global digital trade in ways we haven’t fully mapped yet. The IndiaAI Summit and the EU AI Act are opening moves in a much longer game.
Final Thought
The global AI race is no longer just about who builds the best models. It is about who builds systems that survive regulation, cross borders, and scale sustainably.
Speed matters. But structured innovation — built on a foundation of regulatory awareness, cross-border intelligence, and long-term thinking — is what separates the companies that lead from those that follow.
As someone who works at the intersection of India, Europe, and global trade every day, I find this moment genuinely exciting. The rules are being written in real time. The question is whether we’re in the room where it happens — or reading about it afterward.
For deeper insights on EU–India trade, regulation, and the strategic shifts shaping global business, follow the Onesto Consultancy page on LinkedIn.