Massimo Bensi’s Post

AI in Government: From Ambition to Action The latest feature in The Mandarin, https://lnkd.in/eaDGRY9j) spotlights the early wins and ongoing challenges of AI implementation in the public sector—a topic close to my heart and central to our work at EY. EY’s recent global research, conducted with Oxford Economics, reveals a striking gap between government ambition and reality: while 64% of public sector leaders recognize the transformative potential of AI, only 26% have integrated it across their organizations. The benefits for those who have acted are clear—improved citizen experiences, enhanced productivity, and more informed decision-making. Yet, barriers like data privacy, security, and legacy infrastructure persist. What sets the pioneers apart? Our findings show that success isn’t about rushing to deploy the latest technology. Instead, leading organizations invest in strong digital and data foundations, foster adaptive cultures, and prioritize ethical governance. These pioneers are already seeing tangible results—such as significant efficiency gains, better employee experiences, and more resilient public services. The message is clear: the time to act is now. Governments that move decisively will not only bridge the implementation gap but also deliver greater public value and build trust with the communities they serve. At EY, we’re proud to help shape this future with confidence—supporting governments to harness data and AI for better outcomes, today and tomorrow. And we will have a lot more to say on this, very soon. 🔗 Explore EY’s global research here: https://lnkd.in/ew7ZsEyv #AI #PublicSector #DigitalTransformation #EY #GovernmentInnovation Katherine Boiciuc

If your company isn’t becoming a tech and media company, AI is about to make that decision for you. Way back in early 2023, I said: “Every company will become a tech company.” It sounded bold then. Now it’s just reality. By 2026, the new line is: “Every company will operate as a tech and media company.” Here’s why that matters: AI isn’t just changing how you market, hire, or analyze data. It’s rewriting the DNA of how business works in every sector. - Manufacturers are becoming software companies. - Banks are becoming data companies. - Schools are becoming platform companies. - Governments are becoming service companies. And every one of them is being judged by how they tell their story, how transparent, intelligent, and human they appear while doing it. AI doesn’t just automate, it communicates. Every decision your company makes is now on display: every word, every model, every bias, every promise. So if your organization isn’t already moving toward becoming a tech-driven, media-savvy operation this is your wake-up call. Because this next wave of transformation isn’t optional. It’s structural. It’s here. And here’s the truth few want to say out loud: You can’t buy your way into being AI-ready. You have to govern your way there. AI governance is the foundation, the system that keeps your innovation credible, compliant, and human-centered while the rest of the world races to automate. What you can do to become a tech company for the future: 1. Build your AI literacy. Every leader, not just IT, should understand what AI can and can’t do. Governance starts with comprehension. 2. Audit your digital dependencies. You’re already running on tech. The question is whether you’re governing it. 3. Operationalize governance early. Before your teams deploy AI tools, set clear policies on data, privacy, accountability, and oversight. 4. Tell your story through data and trust. In an AI-first world, your narrative is your advantage. Every organization is a media company now-- lead with transparency, not perfection. 5. Treat AI as a leadership issue, not a technology one. The companies winning in this era are those where governance lives in the C-suite, not the server room. 2026 is only a few months from now--it is not really the future. It’s the turning point. If you’re still waiting for proof that AI will change your industry, news flash: it already has. The only question left is whether your company will own the change or be owned by it. I can help. #AIGovernance #OperationalizeAI #AIReadiness #GovernancebyDesign #AILeadership

Every organization is becoming a tech company plus whatever business they’re in; some intentionally, others by necessity. Tricia Blum, Esq.’s post captures the reality perfectly: You can’t buy AI readiness. You have to govern your way there. #AIGovernance #AILeadership #DigitalTransformation #TrustInAI #FutureOfWork

AI adoption has surged over the past few years, with enterprise adoption increasing by 115% from 2023 to 2024. Yet trust around the technology remains low, with only 62% of business leaders believing that its being deployed responsibly in their organisations. This distrust can hinder AI development and minimise its overall value potential. The UN has predicted that without trustworthy AI governance, the global economy would forfeit an estimated $4.8 trillion in unrealised economic upside by 2033. To address this trust deficit, some companies are turning to public–private partnerships, which combine government legitimacy, industry capability, and civic oversight to turn “trust” into measurable controls, audits and redress. PPPs operationalise trust by turning principles into sector protocols, building assurance through certification, audits, and incident reporting, while enabling responsible data-sharing for robust, fair models. #AI #DigitalTransformation #PublicPrivatePartnerships #Insurance #Banking #Leadership

The pace of AI adoption is accelerating faster than oversight can keep up. According to McKinsey’s State of AI 2025 survey, 78 percent of organisations now report using AI in at least one business function, up from 72 percent earlier in the same year. Yet few have scaled impact or built comprehensive governance structures to manage risk and accountability. EY’s Responsible AI Pulse 2025 report echoes this gap. Only about one third of companies say they have responsible AI controls in place for their models, even though nearly 72 percent confirm that AI is already integrated into initiatives across most or all parts of their business. The adoption-to-governance imbalance is widening. Investment trends point to a correction. Forrester Research projects that the AI governance software market will more than quadruple by 2030, expanding at an estimated 30 percent CAGR from 2024 onward. Enterprises are recognising that governance is no longer a cost centre but a catalyst for trusted scale. As organisations expand AI across borders, complexity multiplies. Frameworks in the EU, US, and Asia Pacific vary widely in privacy rules, audit requirements, and risk disclosure standards. ISACA notes that global firms must align internal policies with diverse external compliance regimes to maintain consistent trust. 👉 At TechnohandZ, we believe scalable AI governance must rest on three enduring pillars: 1. Global oversight architecture – a unified model that localises compliance while sustaining enterprise-wide transparency. 2. Lifecycle traceability and transparency – from data intake to model deployment, every step must be measurable and auditable. 3. Continuous risk-embedded operations – governance evolves as technology and regulation evolve. With 78 percent of organisations already using AI and only one third maintaining responsible controls, the path ahead is clear. Scalable cross-border governance is not a choice. It is the foundation of digital trust. #AI #Governance #ResponsibleAI #DataStrategy #TechnohandZ #DigitalTrust #AIGlobal

At a time when AI is reshaping economies and governance systems worldwide, global efforts are accelerating to harmonize standards and ensure inclusive development. On the sidelines of the 80th UN General Assembly, Foreign Policy and Lenovo—together with policymakers, academic experts, and industry leaders—examined how countries can strengthen readiness, expand infrastructure, and align governance frameworks in AI access. FP Analytics distills insights from this high-level, closed door roundtable in a new synthesis report, produced with support from Lenovo. Read the report:

A long but fascinating read, on agentic #AI and the future of governement institutions. Chapter 12 caught my eye. The excerpt below, I would argue, should apply to our thinking event absent AI. Certainly central to #transformation efforts at Affaires mondiales Canada | Global Affairs Canada and the culture we are driving, focused on #collaboration and #agility. “Weber’s bureaucratic model — built on hierarchy, rules, and process — stabilised industrial-age governance but becomes a liability in an era of agentic AI. The Agentic State demands leadership that defines outcomes rather than procedures, cultures that reward experimentation, and workforces able to collaborate seamlessly with AI agents. Four forces will reshape public administration: automation shifting work toward more complex tasks, skills convergence through the democratisation of technical capabilities, competition for AI-native leadership, and a cultural transformation toward iteration and collaboration.”

81% stuck, <1% leading — responsible AI is the adoption bottleneck 🚨 This playbook on Responsible AI says most firms know the why, not the how. Honestly — the <1% fully operationalized figure surprised me. 🔑 Here's what stood out: 1) → 81% in stage 1–2 (survey n=1,500): most firms haven’t operationalized responsible AI — major execution risk. 2) → <1% reach stage‑4: systemic, anticipatory governance is nearly nonexistent — first movers win trust. 3) → Stage‑3 rose 14% → 19% (2024→25): progress, but shallow — the playbook offers 9 plays across 3 dimensions. 4) → 650+ AI Alliance members: public‑private collaboration is scaling — sandboxes, data trusts and standards matter. Here’s my take: this isn’t a policy lecture — it’s a practical gap. Business owners should treat responsible AI as an operational transformation: appoint governance leaders, embed data governance (clean rooms/federated approaches), and hardwire monitoring and incident playbooks. Invest in tech that tracks models and supply‑chain risk, not just ethics slide decks. If you want competitive upside, move from ad hoc pilots to the playbook’s checklist: governance, risk, and development controls — in parallel with engaging regulators and partners. How do you see this playing out in your organization — double down on governance now, or wait for clearer regulation?

Europe’s AI Governance Enters Execution Mode With the launch of the AI Act Service Desk and the Single Information Platform, the European Commission has taken a decisive step from policy to practice. For years, discussions around AI regulation have focused on principles of fairness, transparency, and accountability. Now, those principles are being operationalized. The Service Desk and platform represent the emergence of an AI operating system for governance. The ecosystem now includes: A Compliance Checker that guides organizations through their legal obligations. An AI Act Explorer that makes navigating complex legislation intuitive. A Service Desk staffed with experts to provide direct regulatory interpretation and clarity. In short, Europe is moving from theory of trustworthiness to architecture of trust. Why This Matters for Chief AI Officers For every Chief AI Officer, this is the signal that the era of voluntary governance is over. Regulatory compliance is no longer a reactive checkbox, it’s a strategic capability. The AI Act demands that AI leaders bridge compliance and innovation, ensuring every workflow, dataset, and model decision can withstand regulatory scrutiny. The CAIO’s playbook now extends into AI auditability, risk classification, and responsible data infrastructure. The new European tools hint at a coming global standard for AI governance tooling — dashboards, compliance co-pilots, and automated reporting pipelines will soon be embedded in every enterprise AI ecosystem. The Broader Implication Europe’s move transforms compliance from a constraint into a competitive differentiator. Organizations that build governance-by-design frameworks early will be the ones trusted to scale globally. The CAIO’s mission, as championed by the World AI Council and World AI X, aligns perfectly with this moment, empowering executives to turn regulation into readiness, and compliance into confidence. As the AI Act progresses toward full implementation by August 2027, the most prepared organizations will not just follow the rules, they’ll shape them. AI governance is no longer a back-office task. It’s the new front line of digital leadership. #AILeadership #ChiefAIOfficer #WorldAICouncil #AITransformation #AIAct #DigitalGovernance #ResponsibleAI #ComplianceByDesign #FutureReady #CAIO