Climate Policy Consulting

When it’s released in coming days, the Trump Administration’s AI Action Plan is expected to outline strategies for expanding America’s AI infrastructure; protecting our technological edge in the global competition to ensure democratic AI prevails; and scaling AI in a way we believe can be leveraged to democratize economic opportunity by putting powerful tools in the hands of many, not concentrated in the hands of a few Infrastructure is destiny, and the plan is expected to focus on the importance of modernizing the grid, streamlining permitting, and generating more energy to power the data centers and advanced compute AI requires The plan is likely to speak to the challenge that we can’t sustain US leadership on AI without bold, scaled investment. The math is clear and unforgiving: AI data centers consume a lot of power, and slow permitting and inadequate grid capacity risk leaving US companies and Americans behind. China, by contrast, is moving with striking speed to build energy generation capacity and AI clusters To be clear, the energy exists–including modern sources of electrons. We need the will to build. Without it, we’ll risk ceding the Intelligence Age to autocratic AI and constrain our capacity to make sure the most people possible can take part in the productivity gains of this era OpenAI has long argued for urgent action. In January, our US Economic Blueprint outlined policy recommendations to strengthen US AI leadership and competitiveness while ensuring broad access. Our March OSTP submission builds on that agenda with proposals spanning national security, infrastructure, energy, and the freedom to innovate and learn. We’re focused on democratizing AI’s economics by putting advanced tools in more people’s hands History shows why. The Rural Electrification Act and the Interstate Highway System transformed opportunity because they reached every corner of the country. AI infrastructure should follow that same playbook: expanding access so that students, small businesses, workers and local officials everywhere can do more We’re also beginning to see the emergence of global rails for responsible, democratic AI—led by the US and advanced by allied nations in ways that benefit everyone, not just a few The EU’s new Code of Practice turns the high‑level principles of the bloc’s AI Act into practical standards for AI, echoing many of the safety approaches we’ve long been modeling (through our Preparedness Framework and partnerships with the US CASI and UKAISI)—and it does so across all 27 EU states while also seeking to ensure little tech has a simple path forward These steps are building a network of democratic AI rails that will spur adoption, fuel innovation, and unlock enormous productivity and prosperity if we choose to build boldly The US is thinking big about AI—and that’s what this moment demands. The choices we make today will determine whether AI's benefits are available to everyone, or concentrated in the hands of a few

AI can play a real role in addressing the capacity challenges facing construction, manufacturing, and infrastructure if public policies can drive this forward. Today, we released Autodesk's AI public policy recommendations alongside a video I recorded on responsible AI adoption with the Business Software Alliance. Governments can help accelerate AI adoption and digital transformation in these industries that are critical to economic growth. Our focus is on clear, practical steps policymakers can take now, including supporting digital design and construction in public infrastructure and manufacturing, fostering data sharing to solve public challenges, establishing risk-based AI guardrails and standards, and investing in workforce programs so people are equipped to use these technologies effectively. Getting this right requires balance. Public policy should enable innovation while ensuring AI is developed and deployed responsibly. Delaying action only makes it harder to put the right guardrails in place as AI adoption accelerates. I encourage you to watch the video and read our recommendations to see how thoughtful policy can help scale AI responsibly and expand capacity across the industries that build the world. https://lnkd.in/gYHA2TkJ

Riyadh's Comprehensive Infrastructure Plan: A Key Pillar of Vision 2030 and the Secret to Rapid Execution 🔅 A Transformational Step in Urban Planning and Development Saudi Arabia has unveiled its first comprehensive infrastructure plan for Riyadh, marking a strategic move to reduce traffic congestion, enhance spending efficiency, and ensure project sustainability. 🔅 Seamless Coordination for Efficient Execution This plan serves as a framework to organize all infrastructure projects, helping to identify conflicts between overlapping initiatives, set priorities, and reschedule conflicting projects to ensure seamless execution within defined timelines. 🔅 A Strong Governance and Planning Model Developed with an advanced engineering and planning methodology, the plan includes: 🔸 Reviewing and approving over 837 development plans 🔸 Restructuring phases of 1,737 projects 🔸 Achieving over 100,000 working hours 🔸 Conducting more than 80 coordination workshops 🔸 Automating 66,000 pre-coordinated permits for 2025 The plan reflects a robust governance framework and inter-agency coordination, demonstrated through: 🔸 Agile and responsive management, with 72 representatives from service entities ensuring swift decision-making. 🔸 Digital transformation and process automation, issuing 66,000 pre-coordinated permits for 2025 to enhance efficiency. 🔸 Optimized resource utilization, prioritizing projects to prevent conflicts and improve spending effectiveness. 🔸 Accelerated execution in line with urban expansion, as infrastructure permits surged from 50,000 in 2017 to over 150,000 in 2024. 🔅 Leveraging AI and Smart Planning Strategies One of the key features of this plan is its integration of artificial intelligence and advanced planning strategies, ensuring smarter, more efficient infrastructure management. By harnessing data-driven insights and AI-powered coordination, the plan enhances predictability, decision-making, and long-term sustainability. 🔅 Core Objectives of the Comprehensive Plan The initiative is designed to achieve: 🔸 Enhanced efficiency in planning and execution 🔸 Adoption of environmentally friendly practices 🔸 More effective and precise project implementation 🔸 Strengthened regulatory oversight and project compliance 🔅 Riyadh: A Smart Urban Development Model Expanding over 2,000% in recent decades and now home to 7+ million residents, Riyadh is advancing integrated infrastructure planning, ensuring faster execution, optimized resources, and enhanced quality of life in line with Vision 2030. 🔅 Strong Governance for Efficient Execution This plan fosters seamless collaboration among 15+ governmental entities under a unified leadership council, driving rapid, conflict-free implementation and optimal resource utilization. 🚀 With visionary execution, cities grow smarter, faster, and more advanced! #Riyadh #SaudiVision2030 #InfrastructureDevelopment #ArtificialIntelligence #SmartCities #Sustainability

Will This Policy Work? (PERMIT model revisited) New policies on Data, Employees, Infrastructure Are the focus of every organization recently. - Data Teams or Data Tools or both? - RTO or Work-From-Home or Hybrid? - Building or buying AI & Digital tools? But policies often come with many moving parts And if they are not Dynamic, Ethical, Interpretable, They fail to be effective in attaining goals. The reason is that people are at the heart Of making a policy work properly. If the policy is inflexible, unintuitive, or unclear, It can create unanticipated and bad outcomes. I created the PERMIT model based on the principles That Adam DeJans Jr. laid out in a post many months ago. Let us revisit the PERMIT model with focus on recent policies: 1. P - Precise: A simply stated objective & guidelines. 2. E - Efficient: Easy to create without undue complexity. 3. R - Reliable: Consistent results over time on optimization. 4. M - Measurable: Guided by data and organizational priorities. 5. I - Implementable: No unnecessary fluff or confusing language. 6. T - Transparent: Stakeholders should know the why and how of it. Theoretically, we can apply the PERMIT Model To any Policy or Process or System To create and calculate a factor-scaled Dynamic, Ethical, and Interpretable Score (DEI Score). The higher the score, the more likely it is that the Policy or Process or System are set up for success. Actionable Insights to use PERMIT: 1. Check any new policy against model factors. 2. Adjust the language and goals to meet standards. 3. Don't blindly replicate any policy of other companies. 4. Ensure that a policy/process achieves goals relevant to you. 5. Hire experts if needed, to assist with creating robust policies. Follow Dr. Kruti Lehenbauer & Analytics TX, LLC for #PostitStatistics #DataScience #AI #Economics tips P.S.: Do you see a policy where you can apply PERMIT Model?

A viral image of an ATM in Ludhiana recently caught my attention - a dangerously steep ramp ending abruptly at a glass door, with a staircase running alongside that leads nowhere. A perfect reminder of a hard-earned lesson in fintech: "Compliance isn’t just a checkbox." Product Managers: You don't want to miss saving 💾 this post for your future reference. This ramp was technically "compliant" - yes, there was a wheelchair access ramp. But it completely missed the purpose of accessibility. People had angry comments on social media about the apathy with which wheelchair-bound customers were treated and how the bank had made a mockery of accessibility. No amount of regulation can account for 'compliance as a checkbox' implementations that are designed to meet the regulation but not serve their intended purpose. It's the same trap I've seen countless fintech products fall into - implementing regulations as mere checkboxes rather than embracing them as design principles. I've experienced regulatory hurdles umpteen times in product launches; in fact, I've never experienced a straightforward implementation that hasn't hit a regulatory roadblock. BUT I can say this confidently: Compliance-first design is the secret sauce that makes the battle easier and less arduous, and inarguably 'faster' IF You just stick to the first principles of building this into your product strategy from day one . Regulations can either slow you down or become your competitive edge. To make compliance your strategic advantage, here's my 3-step playbook: 1/ Design Integration: Make regulatory adherence a natural part of the user experience rather than an afterthought ↳Embed compliance requirements into your initial product design ↳Get feedback from legal and compliance teams, and even the regulator if needed ↳Validate, Test, Iterate, Repeat 2/ Cross-Functional Collaboration: Build bridges between product, legal/compliance teams from day one ↳Involve them early ↳Make compliance & legal stakeholders brainstorm and provide feedback ↳Balance innovation with regulatory requirements using case studies and data to back up assertions instead of getting into crosshairs with them 3/ Validate Early, Validate Often: ↳Test with real scenarios ↳Get early feedback from regulators ↳Regular compliance assessments, no matter what stage of development you are in One golden tip - document everything, err on the side of caution when it comes to building and fostering trust with legal and compliance counterparts. The lesson in one line? Build WITH compliance, not around it. Instead of working around regulations, let's build with them. Because when you design within the right guardrails, innovation doesn't just survive—it scales. What's your strategy for managing fintech compliance? Share below. 👍 LIKE this post, 🔄 REPOST this to your network and follow me, Monica Jasuja

The National Data and Analytics Platform (NDAP) is a must-explore resource for accessing, exploring, and visualizing public datasets across India's vast administrative ecosystem. NDAP provides a comprehensive government data repository, allowing users to discover thousands of datasets, query them using advanced filters, merge multiple datasets effortlessly, and visualize key insights through interactive tools, enabling faster, data-driven decision-making. The platform offers easy access to datasets by industry sectors and data from various ministries, making it invaluable for researchers, analysts, and policymakers looking to unlock insights from India's public data infrastructure. NITI Aayog

𝐇𝐨𝐰 𝐖𝐞 𝐋𝐞𝐚𝐫𝐧, 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝, 𝐚𝐧𝐝 𝐁𝐮𝐢𝐥𝐝 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 - 𝐄𝐯𝐞𝐫𝐲 𝐒𝐢𝐧𝐠𝐥𝐞 𝐃𝐚𝐲 Good research is not about collecting facts. 𝐈𝐭’𝐬 𝐚𝐛𝐨𝐮𝐭 𝐩𝐚𝐭𝐭𝐞𝐫𝐧 𝐫𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 , about seeing how semiconductor policy links to employment in rural Gujarat, or how digital payments change a shopkeeper’s credit behaviour in Mehsana. 𝐓𝐡𝐚𝐭’𝐬 𝐰𝐡𝐞𝐫𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭 𝐛𝐞𝐠𝐢𝐧𝐬 𝐧𝐨𝐭 𝐢𝐧 𝐛𝐢𝐠 𝐝𝐚𝐭𝐚, 𝐛𝐮𝐭 𝐢𝐧 𝐬𝐦𝐚𝐥𝐥 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 𝐨𝐛𝐬𝐞𝐫𝐯𝐞𝐝 𝐞𝐯𝐞𝐫𝐲 𝐝𝐚𝐲. People often assume research in government happens through formal reports or thick policy notes. But on most days, it starts much simpler with observation, curiosity, and a willingness to keep learning. 𝐈𝐭’𝐬 𝐚𝐛𝐨𝐮𝐭 𝐜𝐮𝐫𝐢𝐨𝐬𝐢𝐭𝐲, 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲, 𝐚𝐧𝐝 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐧𝐠 𝐝𝐨𝐭𝐬. Every morning, I read. Sometimes it’s an RBI bulletin, a GSRTC data dashboard, or a MoRTH logistics update. Other times, it’s a farmer’s feedback on solar charging stations or a startup founder’s note on digital lending. 𝐁𝐞𝐭𝐰𝐞𝐞𝐧 𝐭𝐡𝐞 𝐡𝐞𝐚𝐝𝐥𝐢𝐧𝐞𝐬 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐟𝐢𝐞𝐥𝐝 𝐯𝐢𝐬𝐢𝐭𝐬, you begin to notice what the numbers don’t show - how a small decision on AI adoption, skill development, or road infrastructure can quietly shift lives at scale. We are not chasing information; we are connecting signals. When you see UPI transactions crossing 84% of all digital payments, or EV bus operations improving efficiency by 22%, or a rural startup building AI-led dairy solutions in Anand, these are not isolated events they’re clues to where the next leap will come from. Inside my team, it’s never one-way communication. An engineer studying predictive maintenance at GSRTC, a policy analyst reading the IndiaAI framework, and a district officer mapping PM Gati Shakti corridors all share their dots of knowledge. What makes the difference is how we connect them into direction. So when people ask, “How do you research these stories of transformation?” 𝐈 𝐭𝐞𝐥𝐥 𝐭𝐡𝐞𝐦 𝐰𝐞 𝐝𝐨𝐧’𝐭 𝐣𝐮𝐬𝐭 𝐫𝐞𝐚𝐝 𝐫𝐞𝐩𝐨𝐫𝐭𝐬. 𝐖𝐞 𝐥𝐢𝐯𝐞 𝐭𝐡𝐞𝐦. #research #dataanalytics #data #pattern #transformation #prediction #datacollection #reports #observation #fieldvisit

𝗢𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗻 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗜 𝗴𝗲𝘁 𝗶𝘀 "𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗴𝗲𝘁 𝗼𝘂𝗿 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗱𝗲𝘃𝗶𝗰𝗲 𝘁𝗼 𝗺𝗮𝗿𝗸𝗲𝘁 𝗳𝗮𝘀𝘁𝗲𝗿 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗰𝘂𝘁𝘁𝗶𝗻𝗴 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗰𝗼𝗿𝗻𝗲𝗿𝘀?" Great question. In today's competitive MedTech landscape, speed matters but so does compliance! 📝 How to Accelerate Your Medical Device's Path to Market (Without Regulatory Headaches) 1️⃣ 𝗦𝘁𝗮𝗿𝘁 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗼𝗻 𝗱𝗮𝘆 𝗼𝗻𝗲 Don't wait until your design is frozen! The biggest delays happen when regulatory considerations are an afterthought. We recently helped a client save 8 months by integrating regulatory strategy into their initial development plan 2️⃣ 𝗞𝗻𝗼𝘄 𝘆𝗼𝘂𝗿 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗽𝗮𝘁𝗵𝘄𝗮𝘆 𝗯𝗲𝗳𝗼𝗿𝗲 𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗻𝗴 𝗵𝗲𝗮𝘃𝗶𝗹𝘆 Is it Class I, II or III? 510(k), De Novo, or PMA? Each pathway has different requirements and timelines. Understanding this early shapes everything from your clinical evidence needs to your budget 3️⃣ 𝗕𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗳𝗶𝗹𝗲/𝗱𝗲𝘀𝗶𝗴𝗻 𝗵𝗶𝘀𝘁𝗼𝗿𝘆 𝗳𝗶𝗹𝗲 𝗮𝘀 𝘆𝗼𝘂 𝗴𝗼 This isn't just documentation, it's strategic evidence. When you document development decisions with regulatory requirements in mind, you avoid costly rework later 4️⃣ 𝗘𝗻𝗴𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘀 𝗲𝗮𝗿𝗹𝘆 𝗮𝗻𝗱 𝗼𝗳𝘁𝗲𝗻 Pre-submission meetings with FDA or notified body consultations aren't just formalities. They're opportunities to align your approach with regulatory expectations before you're too invested 5️⃣ 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝘀 𝗮𝗻𝗱 𝗴𝘂𝗶𝗱𝗮𝗻𝗰𝗲 Don't reinvent the wheel! Recognized standards provide established paths to demonstrate compliance. One client cut their testing program by 30% by properly leveraging consensus standards I've seen companies add 12-18 months to their timeline by missing these steps. The most successful MedTech companies build regulatory strategy into their DNA, not bolt it on at the end What's your biggest regulatory challenge right now? I'd love to hear what's slowing down your path to market

How Banks Ensure Regulatory Compliance: Conducting Treasury Activities Regulatory compliance is a cornerstone of modern banking, ensuring financial institutions operate within legal frameworks. For banks, particularly in treasury activities, maintaining compliance is crucial to uphold trust, manage risk, and avoid significant penalties. Here is how banks ensure regulatory compliance in their treasury operations: Understanding Regulatory Requirements: Banks must have a comprehensive understanding of relevant regulations, including international directives and national rules. These cover capital adequacy, liquidity management, and risk assessment. Robust Internal Controls: Implementing robust internal controls is essential. Compliance departments monitor and enforce adherence to regulatory standards through regular audits and reviews of treasury activities. Effective Risk Management: Banks use risk management frameworks to identify, assess, and mitigate risks in their treasury operations. This includes market risk, credit risk, and operational risk, maintaining a conservative approach. Training and Education: Continuous training ensures staff are aware of regulatory changes and understand their roles in compliance. Specialised training for treasury staff focuses on specific compliance requirements. Technology and Automation: Advanced software solutions monitor transactions, manage data, and generate compliance reports. These tools detect potential compliance issues in real-time for prompt corrective actions. Regular Reporting and Documentation: Accurate and timely reporting to regulatory bodies is essential. Comprehensive documentation of all treasury activities ensures transparency and provides a clear audit trail. Engagement with Regulators: Proactive engagement with regulators keeps banks informed about upcoming regulatory changes and provides guidance on compliance matters, addressing issues before they escalate. Scenario Analysis and Stress Testing: Conducting scenario analysis and stress testing helps ensure compliance under various market conditions. Banks assess the impact on their treasury activities to ensure they can withstand adverse conditions. Ensuring regulatory compliance in treasury activities is a multi-faceted process requiring understanding regulations, implementing robust controls, managing risks, continuous education, leveraging technology, accurate reporting, engaging with regulators, and conducting scenario analysis. By prioritising compliance, banks navigate the complexities of the regulatory landscape, contributing to the stability and integrity of the financial system.

New report on "The future of international scientific assessments of AI’s risks" by Hadrien Pouget, Claire Dennis, and many others! Download the report here: https://lnkd.in/ecYMtwwP Abstract: Effective international coordination to address AI's global impacts demands a shared, scientifically rigorous understanding of AI risks. This paper examines the challenges and opportunities in establishing international scientific consensus in this domain. It analyzes current efforts, including the UK-led International Scientific Report on the Safety of Advanced AI and emerging UN initiatives, identifying key limitations and tradeoffs. The authors propose a two-track approach: 1) a UN-led process focusing on broad AI issues and engaging member states, and 2) an independent annual report specifically focused on advanced AI risks. The paper recommends careful coordination between these efforts to leverage their respective strengths while maintaining their independence. It also evaluates potential hosts for the independent report, including the network of AI Safety Institutes, the OECD, and scientific organizations like the International Science Council. The proposed framework aims to balance scientific rigor, political legitimacy, and timely action to facilitate coordinated international action on AI risks. The report is a joined effort by several researchers from leading research organizations, especially the Oxford Martin AI Governance Initiative in partnership with the Carnegie Endowment for International Peace.