As anyone following EU affairs could not avoid notice, Mario Draghi unveiled his long-awaited report today. He touched upon various issues, but digital technologies in general and AI in particular stand out as a make-it-or-break-it matter. Here is what you need to know. The report's focus is on Europe's competitiveness. For Draghi, the origin of the productivity gap between the EU and the US that started to widen in the mid-1990s is explained mainly by Europe's failure to capitalize on the first digital revolution driven by the internet. Several structural problems are pointed out, particularly those related to access to capital and fragmentation of the single market. However, the most daunting criticism for Brussels is "inconsistent and restrictive regulations" that burden SMEs and innovators. Draghi notes that "while the ambitions of the EU's GDPR and AI Act are commendable, their complexity and risk of overlaps and inconsistencies can undermine developments in the field of AI by EU industry actors." A slap in the face for EU policymakers who boast the 'Brussels effect.' Very harsh words at the press conference as well. "With this legislation, we are killing our companies," Draghi said, pointing out that regulation favors large players since SMEs have fewer resources for compliance. To mitigate this regulatory burden, Draghi suggests harmonizing national AI sandbox regimes, simplifying the implementation of the GDPR, and avoiding contradictions between the two landmark laws. Potential regulatory hindrances should also be regularly assessed. The report recommends the adoption of an EU Cloud and AI Development Act to enhance computing infrastructure and AI capabilities and launch plans to integrate AI models in strategic sectors vertically. Draghi details how he thinks these verticals should be developed, as he sees them as vital for Europe's industrial players to stay competitive. The overall coordination is assigned to a 'CERN-like' AI incubator, an idea that emerged from the EU chief scientific advisors. The report goes one step further and proposes the launch of 'quasi-pilot lines' to bring together the relevant market actors to develop sector-specific AI models. Grand challenges are also envisaged to fast-track translating scientific findings into industrial applications. To sum up, for Draghi, Europe needs to get back into the tech race with the US and China, and the 'AI revolution' is a key opportunity that should not be missed. "A window has opened for Europe to redress its failings in innovation and productivity and to restore its manufacturing potential."
Business Valuation Approaches
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Financial Value of Climate Risks and Opportunities 🌍 Companies are under increasing pressure to reflect climate risks and opportunities in financial decision making. This is essential for embedding sustainability into strategy and unlocking measurable business value. ERM highlights that financial valuation of environmental and social factors enables companies to align investment decisions with long term performance. Value is created through energy efficiency, circular models, responsible sourcing, and workforce inclusion. These actions contribute to resilience, innovation, and cost efficiency. Sustainable products are experiencing significantly higher growth rates than conventional alternatives. Efficiency measures can reduce operating costs by up to 30 percent, while green finance instruments can lower the cost of capital. These gains can be captured directly in financial models and forecasts. At the same time, climate related risks are increasing in scale and frequency. Physical risks already account for over 270 billion dollars in annual damages. Transition risks may result in stranded assets worth hundreds of billions. The broader economic cost of unmitigated climate change could reduce global GDP by up to 18 percent by mid century. ERM presents two complementary approaches. Value creation focuses on capturing upside through efficiency, innovation, and market expansion. Risk mitigation addresses downside exposure by incorporating climate risks into business planning and decision processes. Both require integration of ESG into financial structures. This means applying standard financial tools such as internal rate of return and discounted cash flow to evaluate climate related actions. It also involves including environmental risks in sensitivity testing, pricing models, and capital planning frameworks. Translating these impacts into financial terms enables clearer comparison and stronger governance. Capital markets are moving toward companies that manage climate exposure effectively. Lower financing costs, stronger investor confidence, and increased access to sustainability linked capital are all benefits of a robust ESG integration strategy. Quantifying the financial value of climate related risks and opportunities enables companies to move from qualitative ambition to strategic execution. Those that lead in this area are better prepared to compete, attract capital, and deliver long term results. Source: ERM #sustainability #sustainable #esg #business
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Mining companies should treat resource drilling like option portfolios. Conventional drill planning is one of the largest sources of value destruction in the sector. A mining company that hedges its gold price or negotiates a streaming deal is acting like a bank. When that same company plans a $10m drilling program, it does not see it as an investment and thus underestimate the full cost of the program and its built in inefficiencies. The most capital-intensive decision in the resource cycle is routinely made without the analytical frameworks that govern far smaller allocations of shareholder capital. The trouble starts with the curve of diminishing returns. Every resource conversion program follows one. The first holes generate enormous value, upgrading geological knowledge from speculation to confidence. Each subsequent hole contributes less. As a result, additional drilling confirms what is expected without changing a single decision the company will make. That’s how every metre drilled consumes resources that could create more value if drilled elsewhere. Real options theory explains it perfectly. The framework treats each drill hole as a purchased option on geological information. The cost is fixed. The upside is that a single hole can transform the economics of a deposit. But like any option, its value depends on what you already know. The first hole into an unexplored zone is a cheap call on enormous potential. The fiftieth into a well-defined block is an expensive premium paid for negligible incremental knowledge. The mining industry buys both at the same price The chain of resource classification makes the stakes concrete. An inferred ounce of gold carries a fraction of the market value assigned to a measured one. Each upgrade unlocks financing gates that were previously shut: streaming deals, project debt, and bankable feasibility. The drilling required to achieve each upgrade is the premium paid for that financial option. Pay it efficiently, and you create extraordinary leverage. Overshoot and you consume budget that could have opened floodgates at another opportunity. Objectivity's DRX was built around understanding and communicating the value of decreased returns - where many AIs tell you where to drill, we also tell you when it may be time to stop drilling. By generating multiple optimised drill plans across a range of budgets, and capabilities (e.g U/G vs surface, wedged vs. actively deviated) and plotting them as an investment curve, it makes the options structure of a drilling program explicit. The steepest part of the curve shows where each dollar generates maximum classification uplift. The flattening region shows where you are overspending. The distance between an existing plan and DRX shows how much value conventional planning leaves behind - we call this the value triangle. Meet us at PDAC to learn more. Booth 623.
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€800 billion a year. That's the price tag Mario Draghi says Europe must meet to stay competitive with the US and China. As an investor and sustainability entrepreneur, reading the Future of European Competitiveness report was eye-opening. It's clear that Europe has to close the innovation gap and invest boldly in clean energy and digitalisation, but this is only part of the challenge. Draghi emphasises that radical change is necessary to prevent the EU from becoming less competitive on the global stage. Here are a few key points from the report that resonate with me, both positively and with concerns: 👉🏻Scaling EU Companies: Draghi highlights that Europe is failing to scale its companies, which limits our global competitiveness. We have incredible innovation happening here, but the lack of support to take these companies to the next level is a major issue. 👉🏻Investment in R&D: The report points to underinvestment in research and development. If we want to remain at the forefront of sectors like clean tech and mobility, we need much more capital flowing into R&D, especially in emerging technologies like AI and renewables. 👉🏻Venture Capital: Draghi's report underscores the urgent need for more venture capital across Europe, a core message I strongly support. We need greater acceptance of venture capital as an asset class, especially in Germany, where the market remains risk-averse. This lack of funding pushes our most innovative companies to scale up elsewhere, particularly in the US. Europe needs to step up to provide the environment needed for startups to thrive and grow right here at home. 👉🏻Common Debt: The idea of joint EU borrowing for green and digital projects is essential to remain competitive, especially in areas like clean tech and mobility. This is a necessary step to unleash the full potential of the sector. 👉🏻The China Challenge: Europe's reliance on China, particularly in clean tech, needs to be rethought. I've seen firsthand how fierce the competition is in the electric vehicle space. While Draghi stresses reducing dependencies, I do think we must be cautious of the economic disruptions a rapid decoupling could cause. 👉🏻Streamlining Policy: Entrepreneurs are struggling with the slow pace of European decision-making, especially in green tech. We risk losing our competitive edge if we don't accelerate policy change. Europe has an incredible opportunity, but it requires bold action. Do you think Europe is ready to rise to the challenge, or will bureaucracy stand in the way? Let's discuss in the comments... #Draghi #Innovation #Sustainability #CleanEnergy #VentureCapital #Investment
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Some people still ask me: “Terry, if it’s that good... why not build the mine yourself?” Fair question...but here’s a better one: “Where is the real value created in mining?” Spoiler: it’s not in pouring concrete or buying haul trucks. It’s in discovery. Power Metallic is an exploration company for a reason. That’s where the asymmetric upside is. That’s where shareholder value multiplies. Just look at the Lion Zone...we drilled into something that’s turned a nickel sulfide play into one of the most exciting polymetallic discoveries in the Western Hemisphere. 32m of 7% copper equivalent. New zones showing gold, platinum, palladium. And we’re still early in the curve. Building mines is capital-intensive, slow, and high-risk. Exploring is a completely different game about agility, upside, and unlocking resource value before you hit the construction phase. The real returns are made in the discovery and delineation phase—not when the first tonne is milled. So no, we’re not building the mine ourselves. Instead, we’re doing what we do best: • Reducing technical risk • Making the resource bigger • Attracting the kind of partners who are experts at building We raised $50M from some of the smartest money in the industry—because they get this model. You don’t have to swing the hammer to own the building. In mining, you don’t have to pour the foundation to capture the value. And in this market, capital efficiency matters more than ever. We’ll continue to grow the Nisk project. We’ll keep expanding Lion, Tiger, and the rest of the system. We’ll prove it out, meter by meter. And when it’s time to bring in the operators, we’ll make sure they’re world-class. Because that’s how you maximize returns for shareholders—and build something that lasts.
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As Mario Draghi’s report released today demonstrates, the EU is falling behind global rivals because of limited innovation. Since 2019, the EU has created over 100 pieces of digital regulation. Whether you’re a technology startup or a small retailer, regulatory complexity is a minefield. Developing, launching or just using technology is harder in Europe than elsewhere in the world. Of course, “anything goes” is not an option and rules are required - but the EU is holding itself back at a time where it could be thriving. Our research with Public First shows that generative AI alone could add €1.2 trillion to the European economy. Much of Google’s innovation is led from Europe. We work with talented European entrepreneurs, businesses and innovators every day and see first-hand the benefits that the single market could yield for them. But a new approach is needed if Europe is not to miss the moment. Here’s what needs to change: 1️⃣ Shift from regulatory growth to economic growth: Europe doesn’t just create a huge number of regulations related to digital society - the regulations they create are often conflicting, untested and inconsistently implemented. The explosion of rules makes it almost impossible for Europe to create and nurture the next tech unicorns. Draghi is right that the EU now needs to focus on enabling innovation: promoting the use of digital technologies to innovate and drive through breakthrough advances. 2️⃣ Invest in R&D: To compete in AI, the EU needs to prioritise research and development, working with the private sector to incentivise it and make funding more accessible. The EU currently lags behind the US, Israel, South Korea, Japan, the UK and China on R&D investment. Without the right incentives to develop and roll out new technology, Europe is stifling its talent. 3️⃣ Build the right infrastructure: AI breakthroughs are only possible with the right computing technologies and data centres - plus the renewable energy to run them. So the EU needs to allocate more funding towards financing such infrastructure, as well as incentivising and enabling the private sector to do the same. 4️⃣ Prioritise skills & education: People will need support to seize the benefits of AI in their work and life. A revitalised European Skills Agenda should put skills and education at the centre, while AI should be added to school curriculums. Google wants to help Europe seize the benefits of innovation. Over the last decade, we’ve worked hand in hand with Governments to build new technology responsibly; train over 13 million Europeans in digital skills; and support over €179 billion in economic activity across the EU. As a European, I’m proud of this work, but I know there’s much more to do. Read Draghi’s report here: https://lnkd.in/epBxtymw
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𝗘𝘂𝗿𝗼𝗽𝗲’𝘀 𝗹𝗮𝗴𝗴𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗮𝗻𝗱 𝗥&𝗗: 𝗠𝘂𝗰𝗵 𝗺𝗼𝗿𝗲 𝗿𝗶𝘀𝗸 𝗰𝗮𝗽𝗶𝘁𝗮𝗹 𝗻𝗲𝗲𝗱𝗲𝗱 ‼️ Last week the International Monetary Fund published a very interesting and comprehensive paper about the need for more venture capital in Europe to tackle our continents challenges. To name a few: ✔️productivity per hour worked is app 30% lower in 🇪🇺compared to the 🇺🇸 ✔️R&D investments are still way below the target of 3% per annum ✔️Within the top 100 tech companies worldwide merely a handful are European Is it all about 💶 I here you say? No it is about keeping up our welfare for future generations. And about a liveable planet. And increasing our innovation and competitiveness are crucial to do so. Which is also the key message of Mr. Draghi’s report I hope. The IMF report takes a deeper dive into the underlying issues: ✔️ VC investments are only 0,4% of GDP. In the US it is 3x as much ✔️Europeans park their savings in bank accounts. And banks are very risk aversie when it comes to financing hightech startups. ✔️Long term savings go primarily via pension funds, who hardly invest in VC in Europe (despite some positive signs recently) ✔️The EU has fewer and smaller VC funds leading to smaller rounds, less opportunities for scale-up financing and limited exit options ✔️ European scale-ups end up listing in the US instead of Europe itself ✔️ National fragmentation within the EU leads to a lot of barriers for scaling What has to be done? ✅ Increase efforts on a real single European market, for example by consolidating stock market exchanges and diminishing cross border red tape ✅ Make it more attractive for pension funds and insurers to step into VC ✅ Enhance the capacity of European Investment Bank (EIB), European Investment Fund (EIF) and national promotional institutes, like Invest-NL ✅ Implement preferential tax treatments for equity investments in startups and VC funds ✅ Encourage more funds-of-funds And I would like to ad to the findings in the report two things: 1️⃣ We need a cultural mind shift, more urgency and embracing true entrepreneurship 2️⃣ We have to step up our game when it comes to tech transfer. Transforming our high quality academic knowledge into economic and societal impact via startups.
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After months of intensive work, the AI Commission submitted our recommendations to the German government last night. Verena Pausder and I were tasked to contribute on behalf of German start-ups and scale-ups. 🚀 All our recommendations made it to the final resolution, and there is a strong political commitment from Katherina Reiche and Karsten Wildberger to get them done 👇 1️⃣ Capital Germany's biggest failure over the past decades is that we haven't built an equity culture. Pension funds and retirement accounts are still largely locked out of the public and private companies building our future. Just like in Canada or the US, every German should have the chance to become an owner and compound capital alongside the most innovative companies. That's why we're proposing strong incentives for long-term equities savings plans and the creation of a €300bn+ sovereign wealth fund backed by the government's assets. GetYourGuide investor Temasek is the perfect example. 2️⃣ Talent The most talented people in the world have options. That is why we need frictionless migration for skilled workers and strong incentives to work at our most innovative companies. In reality, it is still a manual, offline process to attract the best minds from Silicon Valley to Berlin (I've been there!), and our stock option schemes aren't competitive with those in other countries. Bringing the world's best talents to Europe is our biggest opportunity. 3️⃣ The right regulatory mindset This is where I was the most direct: At the moment, Europe's tech companies are stuck in a dilemma. On one side, we finally need to unleash our entrepreneurs. We have GDPR enforcement that turns customer data into a legal liability rather than a competitive advantage. An AI Act written as if startups and Big Tech face the same compliance burden. If we pile on regulations designed for incumbents, we hand the future to the incumbents. On the other hand, a handful of US Big Tech gatekeepers control the AI infrastructure and extract excessive rents from any AI application built on top of it. The result is that European tech companies are struggling to fund innovation and grow to meaningful scale. These Big Tech companies are actively fighting and undermining our anti-competition authorities. 👉 That is why we must enforce the DMA and protect European sovereignty Fair competition isn't a barrier to innovation. It's the foundation on which innovation is built. Both things must be true at once. Less bureaucracy for builders. More accountability for gatekeepers. The recommendations are in. Now it's time to act! Grateful to Minister Katherina Reiche, Rupprecht Podszun, Rolf Schumann, Sebastian Thrun and all commission members for the rigorous dialogue.
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Most people think valuation is just DCF + multiples. It’s not. Valuation is a decision-making tool, not a formula. This cheat sheet captures what many students miss Valuation exists because real decisions depend on it: • Litigation, restructuring, partnerships • Fundraising and investor negotiations • Buying or selling a business • Internal strategy decisions At the core, there are 3 valuation approaches: 1. Income Approach Value comes from future cash flows. Best for businesses with predictable earnings. 2. Market Approach Value comes from comparison. What are similar companies trading at? 3. Cost Approach Value comes from assets minus liabilities. Most useful for asset-heavy businesses. Then comes the engine of valuation: Discount rate & WACC. Get this wrong, and your entire valuation collapses. Get it right, and your assumptions finally make sense. DCF isn’t just a model. It’s a story built on: • Revenue growth • Cost structure • Terminal value assumptions • CAPEX • Working capital • Financing decisions And multiples aren’t shortcuts. They’re context checks. P/E, EV/EBITDA, P/B each works only when used in the right industry for the right reason. Valuation is not about memorizing methods. It’s about judgment, assumptions, and logic. If you understand why a method is used, you’ll never struggle in interviews or real deals. Save this. Revisit it often. This is the foundation of corporate finance. ----- Jeetain Kumar, FMVA® Founder, FCP Consulting Helping students break into consulting and finance PS: If you’re serious about consulting and want a clear, honest roadmap, the link in the comments is for 1:1 guidance. #finance #investment #valuation #consulting #impact
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𝗧𝗵𝗲 𝗔𝗿𝘁 𝗮𝗻𝗱 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗼𝗳 𝗗𝗶𝘀𝗰𝗼𝘂𝗻𝘁𝗲𝗱 𝗖𝗮𝘀𝗵 𝗙𝗹𝗼𝘄 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: 𝗔 𝗖𝗙𝗢'𝘀 𝗡𝗼𝗿𝘁𝗵 𝗦𝘁𝗮𝗿 Discounted Cash Flow (DCF) analysis remains indispensable in high-stakes strategic decision-making. But are we leveraging its full potential? 𝗞𝗲𝘆 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗖-𝘀𝘂𝗶𝘁𝗲: 1. 𝗕𝗲𝘆𝗼𝗻𝗱 𝗩𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: DCF isn't just for M&A. It evaluates strategic initiatives, capital allocation, and even talent investments. 2. 𝗚𝗮𝗿𝗯𝗮𝗴𝗲 𝗶𝗻, 𝗚𝗮𝗿𝗯𝗮𝗴𝗲 𝗢𝘂𝘁: Your DCF model's quality is only as good as its inputs. Challenge your assumptions rigorously. 3. 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴: In today's volatile markets, single-point DCF estimates are dangerous. Embrace probability-weighted scenarios. 4. 𝗥𝗶𝘀𝗸-𝗔𝗱𝗷𝘂𝘀𝘁𝗲𝗱 𝗗𝗶𝘀𝗰𝗼𝘂𝗻𝘁 𝗥𝗮𝘁𝗲𝘀: One size doesn't fit all. Tailor your discount rates to reflect project-specific risks and opportunities. 5. 𝗧𝗲𝗿𝗺𝗶𝗻𝗮𝗹 𝗩𝗮𝗹𝘂𝗲 𝗧𝗿𝗮𝗽: Don't let your model's endgame dominate the narrative. Scrutinise those long-term growth assumptions. 6. 𝗜𝗻𝘁𝗮𝗻𝗴𝗶𝗯𝗹𝗲𝘀 𝗠𝗮𝘁𝘁𝗲𝗿: Brand value, innovation potential, and organisational agility are hard to quantify but critical to include. 7. 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗲 𝗖𝗹𝗲𝗮𝗿𝗹𝘆: A DCF model is useless if your board doesn't understand it. Invest in clear, compelling visualisations. DCF is a powerful lens, but it's not the only one. Combine it with strategic intuition, market intelligence, and visionary thinking. What's your take? How is your organisation evolving its approach to DCF analysis in these uncertain times? #StrategicFinance #CorporateStrategy #ValueCreation
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