Tag: Amazon

  • Technology Sector Serves Up Critical New Pension Risks…

    Technology Sector Serves Up Critical New Pension Risks…

    That was quick. Half the year gone already but no World War III, no AI ending humanity and no gains for all those crypto lemmings who increased the wealth of the Trump family by $1.4 billion. The Donald deftly sidestepped the crypto shake down with the reassuring deflection of a practiced mobster – “The stock market is going up…Everybody’s profiting”. Sure, Jan. Between Love Island and the upcoming weekend sports-fest one can understand people lacking a little financial focus. So, I will keep it brief today. I’d like to take a look at a number of technology sector financial milestones which have been achieved and then flag a couple of unintended consequences, and probably pension risks. First, the milestones….

     

    • Tech-heavy Nasdaq Index gained 20% in H1 vs S&P 500 up 9.5%.
    • Semiconductor/chip sector went rocketed 82% in the same 6 months (Nvidia, Broadcom, Intel etc)
    • Memory chip stocks like Sandisk, Micron, Hynix and Samsung are up a whopping 120% in H1.
    • Research house, Gartner, say AI spending will hit $2.6 TRILLION in 2026.
    • The AI hyper-scalers – Google, MSFT, Amazon and Meta – are set to spend $650 billion on AI infrastructure in 2026. 
    • The combined weight of AI-focused stocks across hyperscaling, semiconductor chips, power, hardware and software tots up to 51% of the total value of the S&P 500 index.
    • Nine major AI companies accounted for almost half of global technology borrowing, raising $122 billion in corporate bonds in a single year to fund data centres and infrastructure.

     

    So, my first observation based on these milestones is that, if your pension is tracking global/US stock markets, then there is a strong possibility you are ‘running’ a significant bet on AI without actually realising it. It’s what the pensions/wealth industry might refer to as a ‘concentration risk’. And, I think the following headlines are flagging a few other AI risks right now….

     

    • OpenAI Leans Toward waiting Until Next Year For IPO – New York Times
    • Tesla Caps Employee AI Spend At $200 Per Week After Adoption Push – The Information
    • OpenAI in early talks to give 5% stake to US government – The Guardian

     

    OpenAI, as a reminder, is attached to almost $1 trillion of AI infrastructure projects and the ‘mood music’ in the above headlines is not great. These projects have been funded by trillions of equity and debt from technology and banking partners. So, these partners must be wondering why OpenAI feels the need to grease Donald Trump’s tiny toddler fingers. I’m wondering too, but speculation gets us nowhere. Of course, the complete anti-Donald antidote is truth, numbers, facts and genuine science. So, I was intrigued to come across some excellent research by former colleagues of mine at Quant Insight. These guys use big AI computational power and principal component analysis (PCA) to strip out all the ‘noise’ attached to the pricing/trading behaviour of financial instruments in the equity, debt and FX markets. The benefit of this huge analytical undertaking is to identify the key factors/drivers of a share price or bond price in the current market environment/regime. This is what they found was driving the $10 trillion semiconductor sector ETF (SOXX) which rocketed 80% in Q2 alone….

    It turns out that the biggest external (macro) factor driving the share prices of semiconductor companies was….. lower cost of corporate borrowing. Now think about these companies involved in heavy capex manufacturing and infrastructure activities. A glance at the financial milestones above and trillions of dollars of planned investment spend means these tech companies need external funding given their own revenues and cash flow can’t keep up with the pace of investment required. This means technology companies are now borrowing which was never really a feature of these high margin/cash flow companies previously. For pension funds this ALSO means the whole AI infrastructure story is not just a stock market story. Hidden behind the headlines, there is a borrowing, credit, balance sheet story. Now, think about that 51% exposure of the S&P 500 index to AI. You think you’re getting equity and AI exposure but….. you’re also acquiring an exposure to a credit (lending) book as large as many dedicated private credit funds. Now check out the recent headlines on private credit funds.

    Actually don’t. Enjoy the weekend sport first!

  • Google Growth, Giddiness and Gullibility…

    Google Growth, Giddiness and Gullibility…

    Deep breaths…I’m searching for expletives. Google has not only become briefly the most valuable company on the planet last week, it also has its own eponymous verb. Now I’m wondering will there one day be a verb “Farage”? Could someone ‘farage’ a nation? Not quite damage or ravage, more like persuade a country to screw itself repeatedly. I’m staring at the screens over the last few days and gasping at the fact that millions of UK voters are trusting dear Nigel (again) and his Thai-based crypto billionaire backers to lead them to the “sunlit uplands” which escaped them on Brexit. Anyway, back to Google and another prediction which has ended up going horribly wrong. Remember how the commentariat gurus confidently predicted AI was going to destroy Google because of its dependence on search? Well, the reality today is far sunnier…

    Google’s AI focused cloud business delivered $20 billion of revenues in its last quarter. That number is astonishingly growing at 63% year-on-year and surpassed the expectations of all herd-like analysts on Wall Street. As mentioned earlier, Google last week briefly passed Nvidia as the world’s most valuable company at almost $5 trillion. Incredibly, 38% of that value, or $1.3 trillion, was added in April alone. Growth is still being rewarded, despite the simultaneous chaos caused by the strangulation of the global economy’s critical energy supply route in the Persian Gulf. This tug-of-war between positive and negative macro drivers is both scary and fascinating to long-time market watchers. Clearly, as stock markets hit all-time highs, the AI growth story is winning the battle for investors’ mindset. Indeed, the S&P 500 in the midst of strategic White House chaos has managed to add $10 TRILLION in value in the past month. It’s not just sentiment and valuations on the rise. The fundamentals look pretty good too.

    The year-on-year earnings growth (yep, that income thing after sales) for the median S&P 500 company in Q1 hit a double-digit 12% pace (Source: Deutsche Bank). The average across all 500 companies actually reached a monster 25% growth rate. That pace of fundamental profit growth hasn’t been seen in at least 4 years and has nothing to do with a pandemic recovery or other macro rebound. Fundamentals like income and earnings matter for the more risk-averse investors. So, it was encouraging to see US high-yield bonds perform strongly in April, European M&A volume at its highest since 2007 and the European bond market just had its busiest day ever.  Yes, people are concerned about supply/demand imbalances in the AI infrastructure world but, if anything, demand is running ahead of capacity. Check out the deal just done by Anthropic and SpaceX. This is all about Anthropic’s urgent need for compute power to meet demand. For illustration, Anthropic had planned for 10x revenue and usage growth in the first quarter of this year. In fact, the growth has been closer to 80x……. yep 80x, not 8x. Euphoric stuff, but it’s time for a word of caution.

    Confidence and rising expectations are great for driving valuations higher. However, this also brings over-confidence and speculation. Arguably, the gullible are in danger of being sucked into the wrong ‘opportunities’. Two outstanding examples of over-confidence and gullibility working in tandem appeared on my screens this week. First, the original meme-stock, GameStop, which gathered a huge retail investor following from online communities like Reddit and Mashable, announced a $56 billion bid for the much larger company, eBay. However, no matter how many times GameStop CEO, Ryan Cohen, awkwardly told his CNBC interviewers the financing was “half cash, half stock”, nobody sane could make the numbers add up. At best, GameStop equity valued at $11 billion, plus $9 billion cash in the bank, plus an offer of $20 billion of financing from Toronto Dominion was still going to be $15-20 billion short of the asking price. Nuts stuff which probably won’t end well. However, you don’t have to wait to find out with Fermi Inc.

    Fermi Inc listed publicly (IPO) as recently as October 2025 with a valuation of about $19 billion. Fermi was riding the coat tails of the AI infrastructure-chasing-energy theme. Its solution was a promise to supply 17 gigawatts of nuclear-powered AI infrastructure….with zero revenues and zero clients. In the subsequent months the CEO and CFO have both departed, and the company still has not signed a single customer. Unsurprisingly, gullible investors have taken serious pain. The Fermi Inc share price has imploded by 85% wiping $16 billion from the IPO valuation. Customers and market traction remain a critical consideration for sensible investors and thankfully there are investment themes out there which are showing encouraging form. Here’s two worth watching.

    Amazon’s cloud business, AWS, was built around its first, best customer, Amazon’s e-commerce business. Now Amazon is launching Amazon Supply Chain Services (ASCS). And guess what? Amazon itself will be this logistics business’s first and best customer again. This allows Amazon to invest massively in infrastructure to challenge the incumbents, UPS, FedEx etc.  Regular readers will know we have strong positive views on the logistics infrastructure space and have recently raised money for OOHPod. Now, think how Amazon invented cloud computing before it was “hot”. This writer believes logistics infrastructure in the coming years will attract lots of investment capital and… customers. Check out Bloomberg’s view:

     

    “The world’s largest online retailer on Monday announced Amazon Supply Chain Services (ASCS), offering other companies access to its “full portfolio” of supply-chain and distribution offerings. The service largely consolidates a package of existing products — air and ocean freight, trucking and last-mile delivery — into a new suite it says companies like Procter & Gamble Co. and 3M Co. are already using.”

     

    Not bad, P&G and 3M on the customer roster already. Of course, our angle in logistics infrastructure is more deals and more M&A. So, it was interesting to catch another positive signal on M&A activity in recent days. It looks like Chicago’s boutique investment bank, Lincoln International, is looking to go for IPO in 2026. This will be the first boutique investment bank to go public since Perella Weinberg in 2021, and is enjoying a 31% income growth tailwind from 2025. Of course, the perkier M&A environment has helped. Data from Pitchbook would seem to confirm same…

     

    “2025 was a record-setting year for global M&A activity, with both deal value and volume shattering the previous highs set in 2021. PitchBook data tracked 50,810 transactions last year—the first time deal count has ever surpassed 50,000; and combined deal value hit nearly $5 trillion, up 37% from the prior year. In its filing, Lincoln contends that the growth of private capital will create a “larger and more durable M&A fee pool,” particularly for sponsor-led deals.”

     

    Again, we have written frequently about the structural shifts in finance and fintech investment. The opportunities to leverage technology in financial services are enormous, and particularly for small disruptors. The standout number for me in April was the trading revenue achieved by a firm unknown to most. Jane Street is a financial trading firm with 3,500 personnel and a lot of technology. In the last 12 months Jane Street generated $39.6 billion in trading revenues. JP Morgan with 316,000 employees did $35.8 billion; Goldman Sachs and its 46,000 superstars did $31.1 billion. The average revenue per employee at Jane Street was an incredible $11 million. Technology and trillions of dollars of investment capital flows can be a phenomenal combination. So, it is timely that Spark Private investors in the coming weeks will be shown two excellent fintech platform prospects. The beach can wait….

  • Summer Looking Hot….

    Summer Looking Hot….

    Last week was biblical. Firstly, President Trump became Jesus online, before dodging to “doctor” retreat on evangelical outrage. Secondly, Vice President, JD Vance, fresh from blowing up Viktor Orban’s election chances in Hungary, told the Pope to tread carefully on….theology. And then, Secretary of War, Pete Hegseth, presented a biblical verse, Ezekiel 25:17, at a Pentagon prayer service which turned out to be more fiction than truth. In fact, it was Pulp Fiction and the words delivered by Samuel L. Jackson’s character in Quentin Tarantino’s cult classic. Who needs The Gimp character with these White House slaves to ignorance?? Sadly, there’s little chance of ball gags for the Trump crime gang just yet as they ‘flood the zone’ with reality-defying nonsense. Meanwhile, our job in the macro risk world is to look behind the eye-rolling headlines connected to the on/off blockade of the Strait of Hormuz, and make sense of real events and numbers. Coincidence or not, I was about to write a rather upbeat piece before any Persian Gulf news broke. Here’s the real stuff which caught my eye away from the Oval Office clown show…

     

    Big Tech stocks leading a $4 trillion market rebound – Bloomberg

     

    Systematic hedge funds bought stocks at a record pace last week – Reuters

     

    Global Venture Capital (VC) investment surged to a record $330 billion in Q1 –   KPMG

     

    Emerging Market bond sales are soaring again as investors dive back into risk  – Bloomberg

     

    It feels like markets and investors have moved on, and confidence is building rapidly. Goldman Sachs research reported that March was the best month in a decade for long/short trading hedge funds. The actual average return in one month for these type of funds was 7.7%, and will be music to the ears of investment banks who need these huge institutional generators of commissions, M&A fees and securities lending to be “feeling good” and chasing opportunity/risk. Indeed, quarterly updates from all the US investment banks showed Goldman Sachs delivering a best-ever quarter for their equities trading operation, and the Guardian has reported almost $50 billion of profits (Q1) generated by just 6 banks – Goldman, Morgan Stanley, JP Morgan, Citigroup, Wells Fargo and Bank of America. It’s all about confidence and we’ve been waiting a while for the IPO market to come to life. In the private equity world, and the Spark world, this public listing channel (IPOs) is critical in providing the much needed ‘exits’ while pumping liquidity flows (and confidence) through the financial ecosystem. The latest numbers look encouraging.

    In Q1 there were 22 IPOs in the US with a combined stock sale value of $9.4 billion compared to just 15 exits the year before and $7.9 billion of liquidity generated (Source: PwC). So, the pace is picking up but we must brace ourselves for the ‘galactico’ listings promised later in the year. Elon Musk’s SpaceX alone could raise $75 billion on a $2 trillion valuation and the listings of OpenAI and Anthropic will be massive conduits of capital back into the AI ecosystem. War or no war, there seems to be no end to investor demand for a slice of AI action. CB Insights research showed that global venture capital (VC) markets invested $226 billion in AI in Q1 of this year. That compares to the $217 billion raised by private AI companies in ALL of 2025. Note that the ‘concentration’ effect familiar to many observers of the ‘Magnificent 7′ tech dominance of public markets can also be seen in private markets; more than 94% of the value of Q1’s VC funding was funnelled into deals worth more than $100m. But it’s not all AI giddiness…

    The biggest industrial IPO this century was just completed last week. Madison Air Solutions, in the ‘hot’ HVAC sub-sector critical to hi-tech construction, officially claimed the title of the largest industrial IPO since UPS in 1999, pricing its $2.23 billion offering at the top of its range and surging 18.5% in its Thursday debut. Madison Air delivers the cooling systems for servers in the data centre space but one can’t help feeling things are generally hotting up, and could make for a very interesting summer. Of course, there are big ‘IFs” on the macro geopolitical front but the longer-term picture is beginning to reveal some emerging trends. In particular, I’m watching Jeff Bezos going BIG into physical robotics and manufacturing automation with a planned  $100 billion fund named Project Prometheus. It is noteworthy how often the AI chip king, Jensen Huang of Nvidia, refers to robotics as the next multi-trillion dollar wave of the AI economy after agentic services (eg Claude, Gemini, ChatGPT etc). However, there’s another agency service which is quietly picking up speed and needs watching.

    We have written before about Waymo and autonomous driving passenger miles growing rapidly. So, the most recent data from start-up funding database, Crunchbase, is striking. Autonomous vehicle start-ups have already raised a record $21.4B across just 34 deals in 2026 year-to-date, versus $5.9B across 99 deals in all of 2025. Waymo led with a $16 billion round at a $126 billion valuation, while Shield AI raised $2 billion and Wayve raised $1.3 billion. Again, automation and human-collaboration are very much our future, and are driving (!) investor animal spirits. This also confirms the theme of a book I cite often, The Future Is Faster Than You Think, and highlights how technologies are converging – think battery power, AI, and robotics in combination. Feel free to follow the ridiculous Trump headlines, but there’s a danger you’ll miss the bigger picture. It’s hotting up out there….

  • Short Prompts, Longer Impacts….

    Short Prompts, Longer Impacts….

    That was exhausting. And it was only a short week. Iranian civilization and the White House insider trading desk were given a bit more time to exist under autocratic regimes while Schrödinger’s ceasefire broke out everywhere but in the Strait of Hormuz and Lebanon. This paradox seemed to inspire Melania Trump who went to the Presidential podium to assure the world’s press that Epstein criminality was not a hoax, but at the same time that she “never had a relationship” with dear Jeffrey.  I’m thinking that’s a “relations” denial but that’s the Clinton nostalgia in me. Anyway, this very strange First Lady intervention has prompted some very short-term thinking about what exact Epstein bombshell is about to drop. The longer term implications might take a bit longer to decipher but, at the bare minimum, Melania appears to be keeping an eye on the catastrophic GOP polling for the mid-term elections this November. In fact, there were a few other developments this week which prompted relatively light commentary levels but could have far weightier longer term impact. Let’s start with a prompt, but one of the AI variety…

    Anthropic is the parent of the chat bot Claude which recently fell out with the Pentagon. Well, it looks like Anthropic might have prompted one of their LLM chat bots (large language models) rather too well. The latest reports suggest a cousin of Claude (certainly not Greg), Mythos, could be a bigger threat to the planet than Agent Orange in the Oval Office. Yeah, seriously. Apparently, and this is the really simple language version….Mythos was tasked/prompted to find vulnerabilities in software and systems deployed by the world’s biggest institutions, banks, utilities and blue chip companies. Mythos didn’t come back with one or two “exploits” or ways to hack software, it came back with hundreds even thousands of ways to hack into software systems. Mythos was SO good, Anthropic has taken the immediate decision not to release the model to the public. That’s not all. Some very senior people have been spooked by Mythos. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell called the CEOs of America’s biggest and most important banks into a closed-door meeting this week at the Treasury building in Washington, D.C. Expect to hear a lot more about Mythos and wonder how long before Polymarket or Kalshi start running betting books on the probability of world destruction being at the hands of digital weapons rather than nuclear weapons. But if we stick with the nuclear threat…..

    Earlier in the week, CNBC’s Trump-cheering anchor, Joe Kernen, was destroyed by former Transport Secretary, Pete Buttigieg in a toe-curling TV clip which has gone viral. Kernen tried desperately to amplify Tehran’s imminent nuclear capabilities but struggled to deflect from the strategically disastrous consequences of the Iran war including the shutting down of the Strait of Hormuz. “Whataboutism” is about to hit peak volume in MAGA land to drown out the inevitable rise in prices, inflation and voter discontent in the “golden age” of the USA. Peace talks begin at the weekend in Islamabad but the longer term consequences of world fuel supplies being cut by 10-20% will be felt for months to come. As each day passes, the global economy will pay the price of minimal shipping traffic passing the Strait of Hormuz. Before the war, daily shipping traffic averaged 130 vessels. Currently, Schrödinger’s ceasefire is delivering a daily traffic total of…… 6-7 vessels. Not 67, six…or seven. No wonder Trump is panicking, and that’s before he even checks the latest polls and actual votes.

    Amid all the ceasefire headlines, US voters are beginning to shift sharply. In Georgia, former Trump lovey, Marjorie Taylor Green’s seat witnessed a 25 point voter move towards the Democrats. In another swing state, Wisconsin, politicised Supreme Court elections saw a 20 point shift to the Democrats. According to the election analysis publication, the Downballot, Democrats have improved upon their 2024 presidential election margins by an average of 11% in special elections so far in 2026 and roughly 13% since the start of 2025. Prediction markets, Kalshi and Polymarket, are giving Democrats 88% odds of House control and 53% for the Senate in November 2026. Meanwhile, closer to home, Hungary goes to the polls this weekend with the real possibility of Trump and Putin fanboy, Viktor Orban, being ousted from power. A particularly eye-rolling moment during the last week of the campaign was the the arrival of US Vice-President JD Vance to complain about EU interference in the election……while on a trip to Hungary to interfere in their election. The EU-US relationship has never looked so broken, and will take years to repair. Indeed, it’s increasingly clear from a European perspective that no senior US leader gets a pass for staying quiet during this insanity. It’s not the only upside-down shift in the world we used to know…

    The downturn in the performance of software stocks like SAP, Salesforce and Microsoft has been a feature of financial market commentary in recent months, spawning multiple SaaSpocalypse headlines. I’m not convinced the valuation meltdown of software under the threat of AI is fully merited. Current valuation multiples, price/earnings below 20x, are back at pre-Covid levels and below those of lower growth consumer staples stocks like Walmart. In fact, Walmart is currently trading at higher valuation multiples than Amazon. Clearly, longer-term prospects for software have currently shifted in investors’ minds but perhaps the bigger story is in hardware. The semiconductor sector (ETF $SOXX) has risen by 108% over the past year while the software sector (ETF $IGV) has declined by 14% over the same period. This scale of market performance divergence is unprecedented and is a reminder (if the Strait of Hormuz isn’t already) that the securing of the supply of physical assets (atoms, molecules) is becoming THE strategic business edge in the global tech race, and not digital code (bits).

    A final thought on performance, as Ireland’s government considers new tax frameworks and savings products to encourage households and businesses to take risk with circa €340 billion sitting in bank deposits. Of course, Spark (and our 60-strong stable of companies we have funded) have skin in this game so one hopes the government is mindful of the benefits of diversification across the entire investing spectrum. A narrow solution steering monies into already publicly listed (and funded) companies would be a missed opportunity to drive investment into our capital starved start-up and SME sectors. Oh, and the investment returns in private assets are certainly worth investigation. Our own EIIS Private Portfolio service launched just over two years ago has funded 24 companies to date. Current valuations and funding milestones/marks indicate an estimated (average) performance by the entire portfolio of somewhere near 25%. Steady stuff, and early yet as these companies are just 2 years into their scaling up journey. However, there is one other BIG factor to consider. The EIIS tax rebate scheme does work, and all Spark investors have been receiving their tax rebates. Now, here’s the interesting twist. That return of cash completely changes the returns profile of the portfolio above. The average return  to investors (if you had invested in all 24 companies) is actually over 100%. In just 2 years, and that’s mostly cash, not just paper. Expect us to write lots more on this very soon.

    Let’s call that a little prompt, with a very big long-term impact.

  • The War Of Unintended Consequences…

    The War Of Unintended Consequences…

    I know. The headline should read “LAW” but where’s the law these days? Certainly, it’s nowhere near Washington as the new Trump fund raising “squeeze” is an emailed request for cash donations in exchange for “private national security briefings” straight from the desk of The Don himself. I kid you not. Anyway, let’s get back to the war, or ‘excursion’ per the Orwellian Oval Office. Clearly, things on the Iran war front are not going to plan. My particular favourite summary of the moment is a delicious one from The Economist: “Although Donald Trump claims to have destroyed 100% of Iran’s military capabilities, the remaining 0% is wreaking havoc on the global economy.” Now, the purpose of this article is not to re-hash all the negative first-order global impacts of the war ranging from higher fuel prices, to supply chain disruption, to inflation, to reduced growth….to interest rate hikes. Yuk! None of this helps financial markets or business in the near term but I’m intrigued by some of the second-order possibilities which could emerge from an extended period of uncertainty. I’m thinking of three areas in particular:

    AI Infrastructure: The simple math of a shock to the global economy is that financial flows dramatically shift. Quickly. Extra money will be needed to meet higher energy bills, economic stress etc. That money must come from somewhere else in the system. So, one thing to consider is that the hundreds of billions Saudi Arabia , UAE, and Qatar committed to the funding of AI infrastructure projects might just be needed to rebuild energy infrastructure closer to home. Current estimates of the cost of the attack on Qatar’s Ras Laffan LNG hub is up to $20 billion per annum . And the worst bit, the rebuild could take 5 years – so let’s call that $100 billion. There is a teeny weeny bit of irony here given the US tech broligarchs’ man in the big house (and ballroom) has screwed up royally. Current estimates suggest $4 trillion is needed to build data centres, processing chips, training models, memory chips and storage by 2030. A squeeze on access to that investment capital will favour the biggest balance sheets and cash flows like Google, Microsoft and Amazon. Not for the first time, I worry about OpenAI’s positioning in the middle of all this AI excitement (remember the famous FT graphic) and being attached to more than $1 trillion of AI projects. So might its bankers worry, watching its tiny balance sheet.

    Electric Revolution: There was a theory for years that Saudi Arabia was deliberately keeping the oil price lower in order to delay the electric/renewable revolution. Their thinking apparently was that if energy was cheap it would remove the urgency to seek alternatives to fossil fuels. So, with Asian buyers already paying over $170 per barrel of oil we are beginning to see some interesting developments. In a little more than 2 weeks, Chinese EV player, BYD Co, is seeing its showrooms packed with customers wanting to switch to EV models. From Bloomberg….”At a BYD Co car dealership in Manila’s financial district, demand for the Chinese company’s electric vehicles is so high that Matthew Dominique Poh said he’s seen a month’s worth of orders in just the past two weeks.”  This feels similar to the Covid-19 acceleration of remote working. Also, spare a thought for US auto manufacturers who have scaled back their EV ambitions to keep the Dearest Leader happy and have written off $55 billion of EV projects. Timing is everything they say…..Get ready for some pretty interesting EV headlines in the coming months.

    Defence: Ukraine was the wake-up call when the world’s second most powerful military power turned the Kremlin’s “3 day operation” into a battlefield quagmire which has decimated its stores of equipment and weaponry, incurred more than 1 million of its own military casualties and incredibly has now lasted longer than the Soviet Union’s WW2 conflict with Nazi Germany. Fast forward to today and we are witnessing the world’s most powerful military gain almost total superiority over Iran but now staring down the barrel (!) of a strategic disaster that “nobody ever expected” per the stable genius hurling ketchup against the walls of Mar-a-Lago. The trapping of 20% of the world’s fuel supplies in the Strait of Hormuz and the destruction of critical energy infrastructure in UAE, Saudi Arabia and Qatar has been achieved with drones which cost as little as $20,000 but require the US to quickly run through their stores of $2m missile air defence weapons. Astonishingly, the Pentagon is looking for an additional $200 billion of budget to fund this “excursion”. However, the bigger picture is that military strategy and economics have utterly changed. Drone warfare developed on the battlefields of Ukraine is the scary future. For some it will be opportunity. Check out the IPO this week of the Ukrainian drone software company, Swarmer, on the Nasdaq. The IPO price was $5 per share but by the close of its first day of trading the share price was $55. Just the 950% gain in one day of trading. Oh, and last year Swarmer had generated just $300,000 of revenues. The US military-industrial complex is having its “ChatGPT” moment and will soon embark on a massive drone warfare investment programme.

    Clearly, not all of the above is cheery stuff but it does feel like some ‘leaders’ in business, technology and investment are now facing very different prospects than they planned for just a few short weeks ago. And, there doesn’t seem to be a “TACO” option this time.

  • Software Is Eating Your Pension….

    Software Is Eating Your Pension….

    Is it time to rip up our favoured playbooks? No, I’m not trying to steer Andy Farrell after that first half ‘traffic cone’ tackling effort in Paris. Nor will I hold out any hope of Britain’s Labour Party saving its government from the existential fallout of ignoring its own “Prince of Darkness” links to Epstein. Sir Keir Starmer’s premiership is already “dead in the water” but I will stick with the trading theme. Long-time political commentators are rightly appalled that Peter Mandelson tipped off Jeffrey Epstein and his elite rolodex/assets about a €500 billion bailout of the euro currency during the Greek debt crisis. The €500 billion number is huge in its own right but the derivative opportunities in banking debt, currencies, bond markets etc at the time were in the trillions and available for exploitation by Epstein & Co without any obvious trace. So, following on from last week’s article, we promised to dig deeper into the huge AI numbers hitting our screens. Actually, we won’t. Instead, we will focus on a related huge number with potentially massive knock-on/derivative investment implications.

    For me, the big number this week is the $1 trillion of value wiped from software stocks (and their SaaS subscription/business models) in just 6 days of trading. Of course, this is directly connected to the threat of AI and some developments, in particular, from the Anthropic/Claude suite of products which are making massive strides in assisting coders and companies to develop/manage their own work processes. Software, of course, is the incumbent go-to solution for companies seeking to optimise work processes and engagement with their customers. Indeed, the venture capital guru, Marc Andreessen, in 2011 was moved to say  “software is eating the world”. From Netflix to Uber to Amazon, digital subscriptions gave companies and consumers access to technology-optimised services. As AI invades the digital opportunity, software is possibly no longer the ‘always’ solution on the Boardroom table. In fact, software could be on the displacement menu itself. The twin threats of AI are summarised well by Business Insider:

     

    “First, if employees get more efficient using AI tools, companies may not need to buy as many business software subscriptions. That would dent the growth of “seats” or how many subscriptions software companies sell. Each employee has a seat, so if there’s no new hiring, growth stalls.

     The second threat is more existential. If AI tools and AI agents get good enough, companies could replace the software they use entirely and instead rely on new AI-powered workflows. And with AI coding tools showing big improvements lately, companies could even develop their own software, without needing to buy it from established vendors.”

     

    There are plenty of analysts and observers who disagree with the gloomy interpretation of AI’s eventual impact on software companies like SAP, Salesforce, Adobe, Figma and HubSpot. However, these company share prices falling by 30-40% in just one month, is telling us the ‘fear’ is real. The $1 trillion of value evaporation in less than a week is not an earth-shattering number given some individual companies are valued in the trillions alone. But… perhaps looking at the software value obliteration in isolation is misguided. The commentariat might think software fears are ‘overdone’ but, if you have a pension, this might be the less scary of TWO outcomes. The first is that software stocks growth and valuations are hit severely by AI replacement. However, there’s a second set of updated numbers/data to take a look at. While the software sector was being hammered, the AI/Cloud giants were announcing quarterly results. Interestingly, their earnings and sales growth numbers were pretty much ignored as the market focused on just one number; capital expenditure spend on AI infrastructure and development. Last week Facebook promised $135 billion of INVESTMENT in 2026 which equates to their total sales in 2023. Microsoft told us their number was circa $105 billion. This week it was Google and Amazon’s respective turns to talk the AI ‘space race’…

    Google, perceived as the AI leader these days, told the market it would spend a cool $185 billion. That equates to its total revenues in 2020(!). Meanwhile, Jeff Bezos seems happy to test out the theory that “Democracy Dies in Darkness” at the investment-starved Washington Post, as his primary wealth creation vehicle, Amazon, announces a planned $200 billion capex spend for 2026. So, the Big 4 are up for a $625 billion investment splurge this year and probably every year for the foreseeable future. That looks like a bet of $3 trillion to $5 trillion on AI, and I’m just wondering what the ‘risk’ calculations could be? I chose the ‘space race’ phrasing earlier deliberately. It feels like the prospect of AI failure for these companies is existential in terms of economic power and analogous to the geopolitical calculations at the height of the Cold War in the 1960s. Well, the historians would probably agree that Reagan’s “Star Wars”  broke the Soviet empire. It’s too early to tell who will ‘break’ in the AI race but software is in the crosshairs right now. However, the sense that big tech including software is ‘going for broke’ introduces a very new risk for financial markets.

    The beauty of software and SaaS business models is recurring revenues, huge scalability at minimal incremental cost, 80-90% margins and enormous cash flow generation. The end result can be seen in the massive spending plans of Big Tech; these companies’ balance sheets were sitting on enormous cash piles (or equivalent liquidity). Simply put, these were the most robust (credit risk) companies on the planet. Pension funds, family offices, sovereign wealth funds and Swiss bank accounts loved the security/risk safety attached to loans and bonds issued by tech/software companies. These instruments were considered “defensive”. Now, not so much.

    Stock/equities markets (as my former boss Terry Smith used to point out to me) occupy 28 of the 30 pages of the Financial Times. But, the last two pages covering debt, currencies, commodities etc are much more significant for financial markets. Now the bonds and loans associated with big technology companies are receiving intense scrutiny (and investor selling) as they each seek to out-spend their cash and balance sheet credibility. This has incredibly important implications for your pension. The credibility of the United States and global technology stocks are being reviewed for their ‘risk safety’. Some serious investment institutions are already acting and re-positioning. This doesn’t mean just selling. What investors are buying at the moment is telling too. Here’s a few data snippets to alert you to what is happening right now….

     

    *Software sector selling activity is the worst since 2008

    *Software valuations – forward price/earnings multiples of 20x – are now at levels (low) not seen since 2014.  

    *Now the buying: defensive consumer staples companies (Nestle, Mondelez, Heinz etc) have been up 1% on consecutive days while technology sector companies fell 1% on the same days. That divergence of performance has not happened since ….2000.

    *The same consumer staples stocks are experiencing buying intensity (“RSI” for the technicians) not seen since 1995. Other indicators (DMA 200 day) are 4.2 standard deviations above average.

     

    It looks like people are buying ordinary stuff; petfood, protein, household goods, chocolate….. really boring but real. We have written before that investors are flocking to atoms (real) and hedging/selling their risk with bits(digital code). One suspects the meltdown in crypto land (Bitcoin at $65,000, down over 50% from its highs) is also partly driven by digital ‘fear’. So, for those keeping an eye on the headlines and their pensions, you might want to check with your advisors on three areas:

     

    1. Pension exposure to technology (software or AI spend). It could be as high as 30% of your portfolio.
    2. Pension exposure to defensive real stuff. It could be as low as 5% of your portfolio.
    3. Pension exposure to the USA. It could be as high as 70% but there is currently a lawless armed militia running around the country, a Supreme Court in dereliction of its duty, international grift on an epic scale and the real threat of mid-term election suspension.

     

    The advisors won’t have all the answers but it should be on ALL pension radars. This period of history offers mind-boggling opportunity but we must be also aware that there is an unusual confluence of technology ambition/confidence and global political leadership operating in an environment where traditional values and rules are being disregarded. Hopefully, rules-based leadership will return soon but here’s a warning from Andrew Ross Sorkin’s book, 1929:

     

    “It’s a haunting elegy for a fractured era, a timeless reminder that progress is fragile, choices have repercussions, and the flaws embedded in the human condition are ours to confront”

     

    Might be time to make better choices and confront those flaws (including White House ape videos)….

  • Is This The End….?

    Is This The End….?

    Let’s start with the easy one. I’m A Celeb 2025 is almost finished. The more tricky version of this headline question might relate to the Epstein files or even the filing of war crimes charges in The Hague against US Secretary of War, Pete Hegseth. Not any time soon me thinks. We could ask Sleepy Don but he might become angry – about the sleepy bit, not the war crimes or paedophilia. Actually, the question most asked in recent weeks is about the end of the AI boom. I asked my own excellent AI ‘friend’ Claude (courtesy of Anthropic) about ‘bubble’ mentions in the media and even he agreed in his remarkably comprehensive market summaries of public and private markets that the AI bubble question is occupying investors’ minds. Mine, not so much. More on Claude later, but first a historical perspective. The last technology boom in 2000 did indeed end in a bust but generalisations on technology can be misleading.

    Back in 2000 we should remind ourselves of the telecoms companies racking up massive debt obligations to acquire mobile spectrum licences and build out fibre/internet networks. Then there were the infrastructure suppliers like Ericsson, Nortel and Cisco dependent on those telecoms, internet and wireless expansion projects. Then the projects stopped. A possible over-simplification by this writer, but a combination of over-build and debt pressures slowed activity and cratered the valuations (growth expectations) of the leading infrastructure players. For illustration, Cisco was trading on a price/earnings multiple of 200x in late 1999. Twenty five years later the Cisco share price has finally recovered to within touching distance of its $80 high in 2000. However, one must make a distinction between the infrastructure plays and the tools/applications which were built on those over-priced networks….

    The Nokia phone in my year 2000 pocket didn’t end up ruling the world but Apple and the mobile internet did. Similarly, Google was just 2 years old at the time and wouldn’t IPO until 4 years later, the same year as TheFacebook Inc was born. Mobile networks enabled commerce (Amazon) and communities (social media platforms) to flourish and generate enormous wealth. Readers might be now detecting a similar pattern with AI. The race for computing power (in 2000 it was networks) is an infrastructure story but investors must not lose sight of the applications of AI and the business models possible (Amazon was an online book store once). The tools like Claude, ChatGPT and Sora are really only in their infancy. The infrastructure story is driven by GPU/TPU chips (Nvidia), cloud computing, hyper-scale data centres and energy. And it’s possibly infrastructure again where risks are building. The CEO of IBM, Arvind Krishna, in recent days put some numbers on those risks.

    Krishna cited a data centre power consumption estimate of 100 GW which at current costs would mean an $8 trillion capital expenditure in the next few years. Now, for the wet blanket of capital reality. That ginormous $8 trillion spend would need to earn profits of $800 billion just to pay the interest/cost of that capital. Yep, that’s stretchy but get ready for the other reality. This infrastructure isn’t piping, fibre, railways or copper which lasts for decades and is depreciated gently over time. The chips which currently power Nvidia’s $5 trillion valuation and sit inside all these data centres could become technologically obsolete within 5 years. Arguably, at current innovation/evolution rates that timeline is too optimistic. Imagine having to replace all your chips every 3 years… ? That should make creditors to these huge data centre projects a little queasy.  The International Financing Review summarized the massive acceleration in borrowing as follows:

     

    An unprecedented splurge from companies at the forefront of the AI boom that has left banks and investors potentially on the hook for billions. Alphabet, Amazon, Blue Owl Capital, Broadcom, Oracle and Meta have between them issued US$120bn of corporate bonds since September – and are raising another US$38bn in the loan market. The debt binge shows no sign of abating, with JP Morgan predicting US$300bn of bond issuance next year – and US$1.5trn by the end of 2030. Another US$2.3trn could be raised in equity, structured finance and private capital markets over the next five years, as hyper-scalers tap every available pocket of capital to finance the US$5.3trn of investments into AI they are expected to make”

     

    Before everyone runs for the hills, we need to be mindful of some very positive starting points. These technology giants tapping the debt markets in most cases are swimming in cash, have dominant market positions and are generating prodigious annual cash flows of almost $700 billion. These are not the fragile telecom balance sheets of the TMT bust in 2000. Of course, OpenAI, sits in the middle of that famous Financial Times graphic showing $1.2 trillion of data centre projects. In my personal view, OpenAI is the weakest link but that could take years to play out. The harsh truth for all investors is that we don’t really know who will win the foundational large-language-model (LLM) race. Google’s Gemini 3.0 seems to be winning this month and did anyone notice Google share price is up 67% year-to-date? Yep, and my Claude’s parent company, Anthropic, is looking to IPO at a $350 billion valuation. These are very early days. Just ask Nvidia. Actually, don’t. They are saying nice things about almost everyone because all are prospective customers. But….. as always watch what a company does, not what it says.

    Nvidia made a $2 billion investment in chip designer, Synopsys, this week. This is just the latest move by Nvidia in what can only be described as a deal spree. In 2025 alone the company has backed 77 equity investments in start-ups, as well as making 5 outright acquisitions (Source: CB Insights). Let’s just say it looks like Nvidia is hedging its AI ‘winner’ bets. Indeed, the ‘AI infrastructure’ bubble fears run the risk of missing the true lessons of the TMT bubble bust of 2000. ChatGPT might be today’s Nokia but the monthly user statistics tell another ‘mobile’ story. ChatGPT is used by 800 million people each month. Gemini is fast catching up with 650 million devotees and Microsoft’s Co-pilot has 200 million monthly users. The market, business or individual, is already converted. That’s the true investor opportunity.

    Meanwhile, there’s a bigger story brewing at the other side of the world. Arguably, we really do need to see that story end very soon. More next week on why troubles in Japan’s bond market REALLY scare me……

  • Back To School For A Monster Theme…

    Back To School For A Monster Theme…

    I’m running out of expletives. It’s a sort of “FOMO” thing which rules out obsessing on Labour’s implosion or the Epstein “hoax” which mysteriously keeps removing only British citizens from high profile roles. No, the headlines driving my heightened state of anxiety are derived from a familiar theme. However, it’s a theme which is now hitting warp speed. We have previously written that the best pulse-take of the monster AI trend was tracking the “picks and shovels” of AI/cloud infrastructure rather than the “gems” of digital intelligent progression. Well, this week is turning into a “biggie” for the AI infrastructure theme. I’d highlight three key developments and a few other snippets. So, here goes….

    The creation of start-up billion dollar ‘unicorns’ has hardly any scarcity value these days. Maybe, we should think in trillions. Step forward almost 50-years old Oracle. Who knew Larry Ellison’s database software business would rack up a trillion dollar enterprise value at the beginning of this week? Probably nobody. Even the Wall Street analysts paid to follow every line of the Oracle business and financial model were truly shocked by the big reveal in Oracle’s quarterly update. In fact, earnings results were slightly shy of expectations. But, the share price proceeded to rocket 40%. Why? The future contract work backlog in its cloud(AI) infrastructure business grew 359% to $455 billion. I mentioned “warp speed” earlier so here’s what caught the eye. Oracle’s cloud revenues from Amazon, Google and Microsoft grew by 1,500% but the entire division this year is annualising revenues of circa $10 billion. That number will be $144 billion by 2030. Welcome to trickle-down AI economics. Oracle was barely mentioned in AI giddiness a year ago, now its owner is the richest man in the world. Oracle is not the only AI ‘unknown’ making waves.

    Anyone heard of Nebius? No, me neither until this week but I do remember its former Russian search/e-commerce platform, Yandex. Anyway, Russian sanctions forced a sale of the Russian assets leaving Nebius as an Amsterdam-listed company specializing in cloud computing (GPU) infrastructure. This week Microsoft signed an agreement worth up to $19.4 billion for Nebius in exchange for 5 years’ access to its GPU datacentre infrastructure in Vineland, New Jersey. Nebius’ market value before that news was less than $15 billion. Not surprisingly, the share price has roared 50% higher and the company is now seeking to raise $3 billion in fresh funds to accelerate its growth plans. This was not the only Dutch tech/AI zinger story this week…..

    Eindhoven-based ASML is the world’s dominant player in critical lithography technology used in chip manufacturing equipment. A single machine can contain up to 100,000 parts and cost $300-400 million. Clearly, semiconductor chips and AI are thematically closely connected. But investing in an AI start-up caught ASML analysts on the hop. ASML has just invested $1.5 billion in French AI player, Mistral, for a circa 11% stake valuing Mistral at close to $14 billion. Remember, Mistral raised $385m in late 2023 with a $2 billion valuation and early investor support from BNP Paribas, AndreessenHorowitz, Lightspeed Ventures and telecoms entrepreneur, Xavier Niel. Less than 2 years later, the Mistral valuation is racing towards a 7-8x return for those early investors. Apart from being an example of multi-layer AI investment activity, the deal is being hailed as a boost to Europe’s AI and semiconductor chip sovereignty.  And maybe I’m not the only one feeling a bit FOMO….

    It seems Ireland’s Taoiseach, Micheál Martin, has been thinking ‘sovereign’ too and looking at France’s early initiatives in funding AI startups. The Business Post has reported that Martin has sought the help of Eir owner, Xavier Neil (see above), in establishing an AI/tech incubator modelled on his highly successful Station F start-up campus. There might be good reason why Ireland needs to increase the pace of its AI and start-up readiness. I thought the next few little snippets should be focusing minds in Government buildings and elsewhere:

     

    Private investing: The UK debt market is worrying many, but on a more positive note it was interesting to see Hargreaves Lansdowne and Schroders join forces to offer UK retail investors the opportunity to add private assets to their pension pots. Note to Irish government – start-ups need investor incentives first, then campuses.

     

    Consumer behaviour: Wildfire Systems’ 2025 Consumer Shopping Trends Report shows 61% of consumers are now using generative AI tools like ChatGPT as a tool for deal-hunting.

     

    Company growth speeds: Stripe’s Indexing the AI Economy report shows AI companies reaching $1m annual recurring revenues (ARR) 4 months faster than even the fastest growing SaaS/software companies. And… AI companies reaching $5m revenues are reaching that milestone 3x faster.

     

    I feel my back-to-school mantra should read:    The future is private, AI and fast. Very fast.

     

     

  • The Euphoric Wisdom Of Crowds

    The Euphoric Wisdom Of Crowds

    I laughed a lot at a very sad funeral this week. Emotions, eh. I’m hopeful this weird juxta-positioning of emotions is a kind of human coping strategy, rather than a sociopathic tell. Then again, the mourning crowd laughed at the brilliant life narration too. Back at my desk, a flurry of headlines hitting the screen prompted a further emotional conflict. Surging extreme weather events globally, Europe battered by tariff tyranny, Gaza starved and Ukrainian cities terrorised by Russian bombardment are hardly sources of optimism for the progress of our species. And, yet……I’m picking up a very euphoric vibe from the financial markets. Strangely for this publication, I’m not that interested in retro-fitting the euphoria with some financial rationale along the lines of falling cost of money(rates), corporate earnings, tech innovation or economic cycles. The sheer phenomenon of financial euphoria is worth highlighting first. Then we can do some thinking, all of us.  Now for the euphoria…..

    The “wisdom of crowds” leans on the idea that large groups of people (markets) are collectively more likely to be correct than individual experts. What is particularly striking about current financial market behaviours is that there is a wide variety of “crowds” ignoring the gloom-filled headlines and seeing a better future out there. However, that optimism is not exactly a new phenomenon. Note that financial markets typically enjoy positive returns in seven out of every ten years. In other words, it pays off to be relatively optimistic. However, in this piece we are looking at something more, evidence of euphoric excess. Let’s try a few of these crowds for starters…..

     

    *The crypto crowd: Bitcoin is hitting record highs of $118,000 while the entire crypto ecosystem has now surpassed $4 trillion in value.

    *The IT crowd: If one uses pre-2018 sector classifications, then technology stocks’ weighting in the S&P 500 is above 45%. That’s way higher than the dotcom bubble of 2000.

    *The ‘Magnificent 7’ crowd: There’s now, not one, but two Big Tech companies with market values in excess of $4 trillion. For context (and wobbly comparison), the $8 trillion combination of Microsoft and Nvidia alone would rank 3rd globally as a single country GDP.  

    *The meme-stock crowd: In 2021 it was Gamestop and the Robinhood day-traders. Now, it’s Kohl,’s (retail) Krispy Kreme(donuts) OpenDoor (estate agent) and American Eagle with Sydney Sweeney dominating social media, chat rooms and…. Wall Street trading volumes.

    *The AI/Cloud crowd: Earlier in the year Microsoft CEO, Satya Nadella, in a Davos interview stated he “was good for $80 billion of investment in 2025” in AI/Cloud infrastructure. Scratch that. This week he said the number will be $120 billion. Google said $85 billion (up from $75 billion) as Big Tech companies look like they will do a giddy AI spend of close to $400 billion in 2025.

    *The M&A crowd: Research data from Pitchbook shows robust merger and acquisition (M&A) activity in Q2, marking the third consecutive quarter for deal value to hit about $1 trillion across roughly 12,000 transactions. It’s not just tech showing confidence. Railway giants Norfolk Southern and Union Pacific are doing an $85 billion merger to create the first transcontinental railway line in US history.

    *The retail crowd: Barclays research points to retail investors as the “primary driver” of the recent stock market rally. In the past month alone, retail investors poured $50 billion into US stocks and now account for up to 20% of daily trading volume on Wall Street. That’s double the levels seen before the pandemic.

    *The VC crowd: The challenged venture capital (VC) world has been looking for a genuine positive pulse-take via an IPO exit. As I write, Greylock Partners, Sequoia and Index Venture will be the VCs doing cartwheels tonight after the largest VC-backed tech IPO in years, Figma, tripled in value within hours of its NYSE debut to almost $50 billion. Or… will they be wondering how they got the selling (IPO) price so wrong?

    It is entirely possible many of the above trends are rooted in fundamental investment theses but suggestions of dangerous  “euphoria” can be found in aggregate valuations of US stocks. The average price/sales valuation multiple (per Bloomberg) for US stocks is a punchy 3.3x. Furthermore, Warren Buffett’s favoured sanity check of comparing the market value(cap) of all publicly traded US companies with total US GDP currently stands at 212%. As a risk guide, Warren is usually uneasy when that number is over 100%. My own two personal favourites in the euphoria beauty parade are more esoteric but tell their own stories.

    First, it is no secret Facebook/Meta and others in the AI “arms race” are desperately looking for AI talent. However, the numbers are starting to look bonkers. According to Wired magazine, at least one prospective employee was offered a 3-year billion dollar salary package to join Meta. Others were offered hundreds of millions (rumoured to be Mira Murati’s Thinking Machines Lab team) but here’s the best bit…. the prospective hires turned down the offers!! Now, here’s a few other proposals that were turned down as recently as November 2022.

    If that date sounds familiar, you might have been vowing to stay away from markets at the time as stocks hit bear market lows spooked by rising global interest rates. Online car retailer, Carvana, was “on sale” that day after its share price had collapsed by almost 99% from its highs the previous year. Nobody wanted to touch it. As of today, it’s up more than 10,000% since then. Fear and greed, emotions eh. Oh, and Meta’s share price on that day after a rough year for the Zuck was $88.91 per share. It’s up almost 800% since then but here’s the best bit….in barely one trading session after its excellent quarterly results this week, Meta’s share price jumped by about $88.91 per share. That number sound familiar?

    No more teasing. The key point is that confidence is surging in public markets. The quieter, less public private markets have struggled to generate similar headlines. Yes, there are pockets of excess. However, it would be foolish to ignore the ‘wisdom’ of the public market crowds. Ultimately, higher trading activity levels, record capex investment, big M&A deals and higher valuations will feed into private markets and smaller companies. Indeed, you might have to get used to the giddy headlines for a bit longer. Goldman Sachs have done a bit of historical analysis and concluded that spikes in speculative trading actually precede abnormally high returns on a one-year time horizon. Don’t stay too long at the beach….the YOLO crowd might be on to something.

     

                                      N.H.  RIP

     

     

  • What Returns Can Investors Expect In A Private World?

    What Returns Can Investors Expect In A Private World?

    Well, I can’t promise you a future with a beachfront property in “Gaza Lago”. In fact, in the world of investing there are no guaranteed returns. As promised in our recent Private Portfolio Thoughts newsletter, I wanted to address expectations as to what long-run returns a private investor should be looking for in a portfolio of private assets.  First, let’s take a look at ‘industry standard’ expectations based on global historic data compiled by research house, Pitchbook. Of course, these are just averages and no doubt are ‘skewed’ by supra-normal returns for a small number of successful funds in each asset class. However, the table below gives an approximate guide to expectations over various time horizons and types of investment.

     

    The Spark focus is probably towards the top of this table summarising 5-year and 10-year returns for private equity (PE) and early-stage investing through venture capital (VC). However, if we strip out debt and real asset products the double-digit (%) performance picture is pretty similar across the board for private assets. The annual rates of return (IRR) implied by the performance of these private assets (in aggregate) are 13.4% over 5-years and 12.5% over 10-years.

    Let’s be more conservative and suggest that portfolios of private assets after 10 years SHOULD have grown in value at a rate of 12%. In real terms (and compounding those rates of return) that equates to an initial investment of €10,000 growing to €31,000 over 10 years. For context, a fund with publicly listed equities would be expected (by financial planners) to generate 7% returns per annum and thus turn €10,000 into €19,600. Of course, the extra return earned by the private asset portfolios is the compensation required by investors for the higher risk exposure(reduced liquidity, business failure) compared to the shares of large established businesses trading every day. These return numbers (based on history) can be described as “hurdle” rates which investors are expecting to match or beat in order to justify putting their capital at risk over long periods of time. So, let’s apply some hurdles to our world of very young companies (VC) and small businesses (private equity).

    We know that the industry standard in more mature private capital investment strategies is looking to turn €10,000 into something north of €30,000 over 10 years. We might describe this as an expectation to generate 3x your initial investment amount. Arguably, for higher risk investments in our earlier-stage world, investors could expect/demand an even higher return for their portfolios. If investors wanted 4x returns or €40,000 after 10 years that equates to a 15% annual return which is what private equity strategies have achieved(see table). So, that expectation is not unreasonable. But…. how realistic is it in a high risk portfolio of mainly early-stage business failure? We should touch on the key ‘push backs’ we get from investors who are wary of investing in start-up businesses or smaller private equity deals. The following are the most common perceived wisdoms….

     

    “80-90% of start-ups fail”

    “ Exits are more difficult as IPO markets for smaller companies have struggled”

    “I can just buy publicly listed equities and earn similar returns”

     

    There is an element of historic truth to all these statements but I’m going to use the most dangerous words in the investing lexicon by stating “this time it’s different”. First, the history of start-up failure should take into account the characteristics of older vintages of businesses. Let’s think about old economy businesses investing heavily in premises, equipment, overseas expansion facilities, logistics etc. These are, in most cases, “sunk costs” in capital-heavy businesses. Inevitably, if the business gets into trouble these ‘assets’ are not just worthless but can have an actual negative value due to ongoing liabilities/leases, maintenance costs, security, insurance etc. Now, think about many of today’s “asset light” businesses leveraging digital infrastructure and building value through the experience of the founders/team, the data gathered by the business and the development of relationships with clients and partners.

    These businesses don’t have the same level of sunk costs/liabilities (as old economy businesses) which can swamp the value of the operational “franchise”. Instead, the value within a business which might not be meeting growth targets can be recognised by a third party and lead to another form of exit which doesn’t involve liquidation. In the Spark portfolio we have seen a number of businesses acquired by third parties in the same sector in exchange for shares in the acquiring company. These shares clearly have a value and also change the traditional calculations around start-up failure.

    In the world of debt/credit one of the key financial terms/metrics is historic “recovery value”. In main street terms, this is the typical expected percentage of the debt which can be recovered when a business fails in a particular sector. You will see such sector recovery data displayed as a percentage of the debt ie 20 cents, 30 cents in the dollar. So, in the world of start-ups there is normally no debt and the equity in the business is a complete ZERO in the case of struggle or failure. But, now that’s not quite the case. If an acquiring business is offering a share exchange then the “recovery value” could by 20-50% of the original investment. And, the reason for ‘value’ being found in the business is the experience of the acquired team, the database and client relationships. This is happening on a far bigger scale elsewhere.

    Ever heard of the term ‘acqui-hiring”? This refers to a situation in which a company acquires another company primarily for its talented team or employees, rather than its products, technology, or other assets. In an acqui-hire, the acquiring company may not be interested in continuing the acquired company’s business or product, but rather wants to bring the talent into its own organization. Now, here’s another bit of jargon monoxide…. ever heard of CVC? Well, you know what venture capital (VC) does but there’s a subset of the VC ecosystem called Corporate Venture Capital(CVC). This form of VC funding is in reality larger corporations investing in smaller businesses whose franchises/technology could ultimately be relevant and value-creating for the parent company.

    So, you might think Sequoia, Index Ventures, Tiger Global and Andreessen Horowitz are the kings of VC investing. Now, think again. Amazon, Google, Microsoft and Nvidia are hugely active in the VC funding space. As an illustration, Nvidia deployed $1 billion in 50 VC funding rounds in 2024 alone. Furthermore, Google has acquired a whopping 222 start-ups over the years, and in 2023 the “Magnificent 7” tech stocks participated in 208 VC deals. So, the IPO market might not be as start-up friendly as in the past but Big Tech certainly is stepping up to the plate as a new and highly active exit event option.

    Of course, there will always be those investors who believe they can earn approximately similar returns to private asset strategies by choosing a selection of publicly listed companies. Yep, the likes of Domino’s Pizza, Paddy Power, Apple and Nvidia tick those boxes but there’s also an assumption investors will avoid the temptation of selling while on the multi-decade rocket ride. However, the more significant point is about business failure. Think it’s only start-ups?  Sixty years ago the average life-span of a company in the S&P 500 was over 50 years. Today, it’s less than 15 years! By 2027, almost 75% of companies who were quoted in the S&P 500 in 2016 will have disappeared (Source: McKinsey). Not for the first time, I’d suggest it’s worth a read of the excellent The Future is Faster Than You Think to grasp how fast business and technology leadership is changing.

    We can’t forecast the future. However, we should recognise that the world of start-ups today has changed dramatically. As a final illustration, start-up funding was traditionally populated by a majority of consumer-focused businesses – think retail, textiles, manufacturing, food, fashion etc.  The term “B2C” would be used to describe these business-to-consumer companies. Well, that’s changed too. Certainly, for Spark. A whopping 70% of funding deals completed by Spark have been business-to-business (B2B) opportunities. It should also be noted that our vetting process turns away approximately nine in every ten opportunities. Arguably, we are selecting the top decile of quality in the opportunity universe. No doubt we will get it wrong along the way, but this is still a robust risk starting point. And, it’s not the only starting point…

    The purpose of this article is to set the scene for a follow-up piece on how these structural shifts can impact the average private portfolio and future expectations using sample portfolios and outcomes. But always remember…. if I could truly forecast the future, “Gaza Lago” might personally have an entirely different meaning and location.