Profishare: A New Business Model for Enterprise Software (Part 7)

Profit-Sharing

There are many interesting elements in Progency’s “Profishare” that can help a B2C/d2C business become a “profipoly.”

First, the focus is on customers who are not being engaged by the business. These are the Test and Left customers – dormant or churned. Any revenue generated from these customers is a bonus for the business. As a friend had put it to me a few years ago, this is “gold from gutter.” For the brand, with an outcome-based pricing model, this is akin to “free money” – the costs are incurred by Progency and the brand collects the lion’s share of the revenues generated.

Second, this approach helps the business concentrate on the ABC: acquisition, branding, and campaigns. By outsourcing the reactivation of disengaged customers to Progency, the in-house marketing team can remain focused on their primary objectives without being sidetracked by the high-effort and potentially costly process of re-engaging inactive customers.

Third, unlike traditional adtech models, which often rely on click-based metrics, Progency aligns its compensation with actual conversions. This means that Progency has a vested interest – or “100% skin in the game” – in not just attracting clicks, but in driving real, tangible results in the form of customer re-engagement and sales.

Fourth, Progency’s model can be seen as a form of “co-marketing,” where it collaborates closely with the business’s marketing department. This partnership ensures broader customer outreach without duplicating efforts. Progency relies on the business for content and offers, effectively augmenting the business’s capacity without adding extra costs.

In summary, the Profishare model proposed by Progency represents a novel and potentially transformative pricing model for B2C/D2C business. It transcends traditional methods of charging for software and services, focusing instead on generating revenue from previously untapped customer segments. By re-engaging dormant and churned customers, allowing businesses to focus on their core marketing activities, incentivising based on conversions, and fostering a co-marketing relationship, Profishare offers a comprehensive approach to enhancing profitability and operational efficiency. This model not only aligns the interests of Progency and its customers but also promises a win-win partnership to unlock new revenue streams, paving the way for businesses to become profipolies.

Thinks 1113

Economist on delegation: “One way to navigate such problems is to use an explicit decision-making framework that tries to make it clear who is on the hook for what. These frameworks are not perfect. Project managers often use something called the RACI model. Its first two letters sort those who are “responsible” from those who are “accountable”, a distinction which normal people may find “confusing” and “incomprehensible”. Other, clearer frameworks are available. They have punchy names like DACI, DARE and DICE: you might be choosing a cloud-computing vendor but you get to feel a little like you are in the special forces. As well as working out who does what, it helps to have a way to parse what kinds of decision can be delegated and what not. Before Jeff Bezos started hanging out in spacesuits and doing laughable photoshoots in Vogue, he liked to articulate his management philosophy in annual letters to Amazon’s shareholders. In 2015 he made a useful distinction between type-1 decisions (“one-way doors”) that are important and irreversible, and type-2 decisions (“two-way doors”) that can be reversed if they do not pan out. Type-1 decisions warrant slow, deliberative processes; type-2 decisions should be taken quickly by smaller groups. Having a theory of decisions improves choices on what to delegate and reduces the chance of regrets.”

Allison Schrager: “The humanities and social sciences are failing. Their popularity in the US has been waning in recent years, as many students enter science, technology, engineering and math fields to seek skills directly applicable to their careers, but the last few months have exposed a deeper weakness: The humanities and social sciences are no longer training students to be critical thinkers. This failure creates serious challenges for our culture and democracy, leaving students less capable of managing a changing economy.” Agnes Callard: “I teach the humanities, and I still don’t know what their value is…We humanists keep on trying to teach people what the value of the humanities is, and people keep failing to learn our lessons. This suggests to me that humanists do not know the value of the thing they are trying to defend. We can spout pieties that sound inspiring to those already convinced of our cause, but so too can an ignorant math teacher “teach” math to those who already know it. As a humanist — someone who reads, teaches and researches primarily philosophy but also, on the side, novels and poems and plays and movies — I am prepared to come out and admit that I do not know what the value of the humanities is. I do not know whether the study of the humanities promotes democracy or improves your moral character or enriches your leisure time or improves your critical thinking skills or increases your empathy.”

Aaron Saunders: “There is a lot of enthusiasm around AI and its potential to change all industries, including robotics. Although it has a clear role and may unlock domains that have been relatively static for decades, there is a lot more to a good robotic product than 1’s and 0’s. For AI to achieve the physical embodiment we need to interact with the world around us, we need to track progress in key technologies like computers, perception sensors, power sources and all the other bits that make up a full robotic system. The recent pivot in automotive towards electrification and Advanced Driver Assistance Systems (ADAS) is quickly transforming a massive supply chain. Progress in graphics cards, computers and increasingly sophisticated AI-enabled consumer electronics continues to drive value into adjacent supply chains. This massive snowball of technology, rarely in the spotlight, is one of the most exciting trends in robotics because it enables small innovative companies to stand on the backs of giants to create new and exciting products.”

From a Pew survey of US teens: “YouTube continues to dominate. Roughly nine-in-ten teens say they use YouTube, making it the most widely used platform measured in our survey. TikTok, Snapchat and Instagram remain popular among teens: Majorities of teens ages 13 to 17 say they use TikTok (63%), Snapchat (60%) and Instagram (59%). For older teens ages 15 to 17, these shares are about seven-in-ten. Teens are less likely to be using Facebook and Twitter (recently renamed X) than they were a decade ago: Facebook once dominated the social media landscape among America’s youth, but the share of teens who use the site has dropped from 71% in 2014-2015 to 33% today. Twitter, which was renamed X in July 2023, has also seen its teen user base shrink during the past decade – albeit at a less steep decline than Facebook. Teens’ site and app usage has changed little in the past year. The share of teens using these platforms has remained relatively stable since spring 2022, when the Center last surveyed on these topics. For example, the percentage of teens who use TikTok is statistically unchanged since last year.”

Profishare: A New Business Model for Enterprise Software (Part 6)

Stack, Service, Sharing

I have written about Progency in the context of Netcore in previous essays. The essence is how Progency can combine software (martech stack), service, and sharing (outcome-based pricing).

Netcore’s Profipoly Strategy: “What marketers are doing is overspending on new acquisitions and underinvesting on existing customers. Half the adtech spending is turning into “AdWaste”. The side effect of this is that there isn’t enough money left for the martech side to build deeper and more rewarding relationships with existing customers. The twin benefits of shifting spends from adtech to martech are a sustainable increase in revenues, and a reduction in wasteful spending which flows to the bottom line. The synergy of an exceptional product offering coupled with a meticulously crafted marketing approach can set the stage for exponential forever profitable growth – the cornerstone of a true profipoly.”

Progency: The Profipoly Pathway: The progency model fuses martech products and services to help brands maximise profitability. Key differentiators are martech company ownership, a proprietary tech stack, focusing on neglected customers, performance-based pricing, and limitless budgets. This SaaS-service synergy, using new metrics and targeting overlooked segments, is uniquely positioned to address brands’ profitability challenges. Progency emerges as an indispensable catalyst for the profipoly vision of maximising lifetime value.”

Netcore Progency: A Profipoly Catalyst: “Netcore 3 [aims] to create a startup, a new business to create an amalgam of software and service, with an adtech-style performance pricing model. This is Netcore Progency, a paradigm shift in the martech space. Its mission? Profipoly engineering. A brand profipoly is not going to happen just like that. Even with stellar products, competitors are always lurking. While “magical products” are important, what will create the money machine, moat, and monopoly is how consumer-facing businesses manage their controllable costs and craft their marketing strategies. Today’s B2C/D2C brands have mortgaged their future to the Gods of our times: Google and Meta. In their quest for exponential forever growth, they have forgotten the “profitable” angle. Unless brands think of how they will create sustainable profits, they will be locked in a relentless battle against competitors for every customer. In this digital gold rush, only the shovel sellers (ad sellers, cloud platforms, and marketplaces) win. This is where Netcore 3 – Netcore Progency – comes in. By seamlessly combining SaaS and service under a single umbrella, by leading with an AI-first “profipoly stack”, by focusing on the Blue Ocean customers neglected and ignored by marketing teams, by championing new metrics like the EnCoRe Triad, by advocating performance-based compensation models, and by eliminating constraints on marketing budgets, Netcore Progency positions itself uniquely. It aims to steer Netcore from the saturated martech stacks markets, carving a niche as a trailblazing, category-defining entity.“

Email 2.0 Progency: eCommerce’s Profit Powerhouse: “Progency offers a revolutionary opportunity to amplify eCommerce profitability. This software and service solution targets and revitalises a significant, often overlooked segment of a brand’s customer base: the dormant (Test) and churned (Left) customers. By reducing AdWaste and implementing “Email 2.0” innovations, Progency seeks to engage this “Blue Ocean” of users interactively and efficiently. These innovations make emails more personalised and actionable, thereby addressing funnel frictions and optimising the potential for sales conversion. The Progency model, which only charges for successful outcomes, presents a compelling economic argument for brands seeking to maximise profits, especially when tapping into the unused potential of inactive customers…. The Email 2.0 innovations provide a ray of light which can transform the end customer experience. But just offering piecemeal solutions is not good enough…Instead of competing in a $10 billion market, [Martech 2.0 companies] can focus on the $100 billion reacquisition AdWaste segment.”

Thinks 1112

NYTimes: “In the rocky soil of Lorraine, a former coal mining region near the French-German border, scientists guided a small probe one recent day down a borehole half a mile into the earth’s crust. Frothing in the water table below was an exciting find: champagne-size bubbles that signaled a potentially mammoth cache of so-called white hydrogen, one of the cleanest-burning fuels in nature. “Hydrogen is magical — when you burn it you release water, so there are no carbon emissions to warm the planet,” said one of the scientists, Jacques Pironon, a senior researcher and professor at the University of Lorraine. “We think we’ve uncovered one of the largest deposits of natural hydrogen anywhere in the world.”…There are still many questions about the find, including exactly how big it is and how best to extract the gas. But it has added to a trail of clues elsewhere in the world that a holy grail of clean energy may be lying in the earth for the taking.”

Mint: “India’s DPI network has laid the groundwork for economic growth where no one is left behind. Our mantra of innovating for scale at the grassroots level and then moving up, as opposed to the Western norm of top-heavy innovation that trickles down, positions India as one of the few countries realizing the vision of a truly inclusive and human-centric digital economy. Moreover, India stands alone in achieving this at the unprecedented scale we’ve demonstrated. The driving force behind this success? A potent blend of talent, technological prowess and a can-do mindset within the dynamic Indian startup ecosystem that seized the opportunity to translate that vision into reality. None of this would have been possible without the unwavering support and visionary leadership of the government. India’s digital transformation stands not only as the largest and most intricate case study of change that has had substantial impact, but also serves as a shining example of a win-win public-private partnership in action. It exemplifies how collaborative efforts between the government and private sector can yield transformative results, setting a global benchmark for effective cooperation and shared success.”

Brad Lightcap on Gen AI: “We’re in this really early period, and I think it’s really important that we maintain the ability for the world to sustain a very high rate of experimentation and a very high rate of trial and error. If you look at historical trends of past phase shifts in technology, there’s always this really important experimentation phase. It’s very hard to get the technology right from day zero. We get there eventually – the end state of the technology, we eventually converge to that point – but it’s only after really trying a lot of things and seeing what works and then seeing what doesn’t, and for people to build on top of the things that work, to create the next best things. My spicy take on this is I think the most important things that get built on top of this technology are actually things that haven’t been created yet. Because it takes some cycles of building with the tools to really understand what they’re capable of, and then how to combine the tools with other aspects of technology to create something that’s really greater than the sum of its parts. And so that’s to be expected, I think it’s very healthy.”

WSJ: “Brands including and Zara have closed hundreds of stores in recent years to cut costs as more shoppers turn to e-commerce. Now they are investing in those that remain to woo customers in ways they can’t online. The new-look stores are typically larger and more spacious, offer services such as beauty salons, repair stations and coffee shops, and enable new digital features such as apps that allow shoppers to rummage virtually through the storeroom. “Now it’s about engaging with consumers and giving them an experience,” said Henrik Nordvall, manager of H&M’s U.K. business.”

Donald Boudreaux: “Consider the taxation of capital gains. This tax discourages some investment. Which new businesses would have been, but because of this tax weren’t, created? Which new goods or services might we enjoy today had this tax been lower? We’ll never know because all of the enterprise and production discouraged in the past by this tax is forever non-existent. Most of the resources that, because of this tax, were not used as they would have been used absent the tax did, of course, find alternative, lower-taxed uses. But these alternative uses are likely to be less productive and valuable than the tax-discouraged uses would have been. We are thus poorer, but cannot know by how much or, exactly, in what manner…Although entrepreneurship and commerce and the production of material goods and services don’t stir the soul as music and literature, seemingly humdrum economic activities are what make our modern lives – including our art, literature, leisure, and learning – possible. Institutions and interventions that diminish market-tested economic activities make us poorer in body and spirit. Sadly, such institutions and interventions are many.”

Profishare: A New Business Model for Enterprise Software (Part 5)

Martech Outcomes Revolution

I queried my Marketing GPT with the following prompt: “As adtech has grown, so has AdWaste. Therein lies the next big opportunity for outcome-based pricing and the Progency idea of profit-sharing.” Here is the response. I have edited the response to fit the context.

AdWaste in Adtech: There’s a notable disproportion in how brands allocate their marketing budgets, with a substantial 80-90% typically funnelled into adtech for new customer acquisitions and only 10-20% invested in martech for existing customer engagement and growth. This imbalance highlights a significant amount of AdWaste in adtech spending (because of wrong acquisition and reacquisition). This can be as much as 50%, and has remained largely untapped and unnoticed by many brands​​.

Performance Pricing Models for Martech Growth: Martech companies, especially those serving B2C/D2C businesses, can adopt performance pricing models. This approach aligns with adtech’s transformation and can be seen as a natural evolution for martech’s growth. The shift towards performance pricing can greatly expand the Total Addressable Market (TAM) for these companies by capturing a portion of AdWaste, thereby transforming brand P&Ls.​

Shifting Budgets from Adtech to Martech: Marketers are advised to reconsider their budget allocations. They should redirect a portion of the AdWaste from adtech towards martech. This reallocation can incentivise and gamify interactions with existing customers, encouraging them to volunteer personal data (“zero-party” data) for more personalised experiences. This strategy not only reduces reliance on adtech platforms but also opens new opportunities for martech companies to expand their TAM​​.

Transitioning Martech to Performance-Based Pricing: Martech companies need to evolve from pricing models based on user and usage to models focused on utility and uplift—similar to the adtech industry. This shift requires a fundamental change in how martech companies operate, moving from traditional consumption-based models to performance-linked models. Such a transformation aligns martech spending more directly with tangible business outcomes​​.

Learning from Adtech’s Evolution: Martech must take lessons from adtech’s evolution, especially the transition from CPM (cost per thousand impressions) to CPC (cost per click) models. This shift emphasizes utility and uplift over mere usage, a change that can enhance advertising efficiency, accountability, and effectiveness. Brands, under pressure from investors for profitability, are increasingly looking for such performance-based pricing models in martech as well​​.

In summary, there’s a significant opportunity for martech companies to leverage AdWaste and transform their pricing models to be outcome-based. This approach aligns with the current market dynamics where brands are seeking more effective and accountable marketing spend, moving away from traditional adtech’s inefficient customer acquisition strategies to martech’s customer retention and revenue growth capabilities. The integration of performance-based pricing in martech could lead to more efficient use of marketing budgets, better engagement with existing customers, and ultimately, a more sustainable and profitable marketing ecosystem.

I then asked my Marketing GPT for an explanation on how the progency model of martech companies can help brands create profipolies. Here is a lightly edited version.

The Progency model, a concept that merges the capabilities of a product-led agency with performance-driven pricing, is instrumental in aiding brands to create ‘profipolies’ – a state of competitive leadership with robust market positioning. This model represents a significant shift from traditional service providers to a more collaborative and outcome-oriented approach. Progency, as an extension of the marketing team, is not just focused on delivering results but is intrinsically motivated by performance, tying its compensation directly to the success it generates for brands. This transforms the agency from a mere service provider to a critical business ally.

In essence, Progency acts as a “profits agency,” collaborating closely with brands to guarantee and participate in profit generation. It combines content and creative skill sets with analytical and software capabilities, building upon a proprietary full-stack martech platform. This approach ensures that marketing teams can outsource their desired outcomes, similar to the function of adtech agencies, but with a focus on long-term profitability rather than just short-term gains​​.

The integration of Progency into the marketing strategy allows brands to adopt Martech 2.0 strategies, which include components like Inbox Commerce, Green Journeys, Reactivation, Progency, Near-Zero Acquisition Cost, and Anon-to-Known. These strategies, when combined with the right Martech 2.0 vendors, can lead to significant structural shifts in customer acquisition and retention processes. Brands that quickly adopt these strategies and collaborate effectively with Martech 2.0 vendors can cut through the competitive noise and establish themselves as profipolies, leading their respective markets with deep competitive moats​​.

Furthermore, the Progency model aligns with the current market context where capital is becoming scarce, and brands are increasingly focused on profitable growth. Martech companies, through the Progency model, are well-positioned to deliver more value with less investment, becoming long-term profitability partners for brands. This approach diverges from the adtech model, which focuses on maximising short-term revenue outcomes, and instead provides a sustainable path for brands to achieve and maintain market leadership​​.

Thinks 1111

Arvind Krishna: “I…think that many people when they hear this – I actually disagree with the way many economists and many people characterize it, that if you make somebody more productive, then you need less of them. That’s actually been false in history. If you are more productive, that means you have a natural economic advantage against your competition, which means you’re going to get more work, which means you’re going to need more people. And I think people forget that – they come from a zero-sum mentality to say it’s a zero-sum game… The world I live in, you’re more competitive, so that means you’re going to get more work, which means you need more people to do that work. So yes, certain roles will shrink because you don’t need so many people doing, maybe, email responses or phone calls, but then it will shift to maybe more applications will get done, or maybe you’ll be advertising to different markets that you previously could access. So there will be a shift – yes, the first bucket decreases, and everybody fixates on that. By the way, at our scale, that’s 3% of our entire employee population…I fundamentally believe we’ll get more jobs. There wasn’t an internet job in 1995. How many are there today, 30 million…? There was no CNBC.com in 1995. There was a television channel.”

Peter Coy: “[Charlie] Munger talked about “combinatorial effects” in which a variety of psychological forces, each mild enough in its own right, come together and reinforce one another to create good or bad lollapaloozas. The original success of Coca-Cola came from positive combinatorial effects, with the qualities of the product and the relentlessness of the advertising working together to habituate customers, he wrote. Conversely, he added, the ill-fated introduction of New Coke in 1985 suffered from a combination of several mistakes. To get the good lollapaloozas and not the bad ones requires two things, from what I can glean from Munger’s book and Berkshire Hathaway’s famous annual shareholder letters. One is patience to wait for good opportunities, and the other is plentiful available cash when those opportunities finally present themselves.”

NYTimes: “From 2012 to 2022, investment in private U.S. start-ups ballooned eightfold to $344 billion. The flood of money was driven by low interest rates and successes in social media and mobile apps, propelling venture capital from a cottage financial industry that operated largely on one road in a Silicon Valley town to a formidable global asset class akin to hedge funds or private equity. During that period, venture capital investing became trendy — even 7-Eleven and “Sesame Street” launched venture funds — and the number of private “unicorn” companies worth $1 billion or more exploded from a few dozen to more than 1,000. But the advertising profits gushing from the likes of Facebook and Google proved elusive for the next wave of start-ups, which have tried untested business models like gig work, the metaverse, micromobility and cryptocurrencies. Now some companies are choosing to shut down before they run out of cash, returning what remains to investors. Others are stuck in “zombie” mode — surviving but unable to grow. They can muddle along like that for years, investors said, but will most likely struggle to raise more money.”

Sundar Pichai on Gemini: “A specific part of what makes it exciting is it’s a natively multimodal model from the ground up. Just like humans, it’s not just learning on text alone. It’s text, audio, code. So the model is innately more capable because of that, and I think will help us tease out newer capabilities and contribute to the progress of the field. That’s exciting.  It’s also exciting because Gemini Ultra is state of the art in 30 of the 32 leading benchmarks, and particularly in the multimodal benchmarks. That MMMU benchmark—it shows the progress there. I personally find it exciting that in MMLU [massive multi-task language understanding], which has been one of the leading benchmarks, it crossed the 90% threshold, which is a big milestone. The state of the art two years ago was  30, or 40%. So just think about how much the field is progressing. Approximately 89% is a human expert across these 57 subjects. It’s the first model to cross that threshold. I’m excited, also, because it’s finally coming in our products. It’s going to be available to developers. It’s a platform. AI is a profound platform shift, bigger than web or mobile. And so it represents a big step for us from that moment as well.”

Profishare: A New Business Model for Enterprise Software (Part 4)

Rise of Adtech

Outcome-based pricing, while not yet widespread across all industries, has gained traction in several sectors where the value delivered can be distinctly measured and linked directly to the pricing structure. This approach aligns the interests of service providers and their clients towards achieving specific, tangible results. Some industries are leading the way when it comes to outcome-based pricing.

Healthcare providers are beginning to adopt outcome-based pricing models. For example, some hospitals are now offering bundled payments for certain procedures, which means that they are paid a fixed fee for the entire procedure, regardless of the actual cost of care. Manufacturers are also using outcome-based pricing models to incentivise their suppliers to deliver products and services that meet their specific needs. For example, a manufacturer might pay a supplier based on the quality of the parts they deliver or the on-time delivery of those parts. Professional service providers, such as lawyers, accountants, and consultants, are also increasingly using outcome-based pricing models. For example, a lawyer might charge their client a contingency fee, which means that they are only paid if they win the case. The energy sector, particularly in areas like energy efficiency services, often uses outcome-based pricing. Companies get paid based on the energy savings they deliver to their clients. Some consulting firms are moving towards outcome-based pricing, where their fees are tied to the achievement of specific client goals, such as cost reduction or revenue growth.

The biggest example of outcome-based pricing is in adtech. It has been an innovator in adopting, transitioning from traditional impression-based models to the more outcome-oriented Cost Per Click (CPC) approach. In this innovative model, advertisers incur costs only when users engage with an ad by clicking on it. This shift to CPC has allowed advertisers to more directly connect their spending with tangible outcomes, such as sales generated. This correlation between advertising spend and measurable results has significantly driven the surge in adtech investment over the past two decades. This evolution in pricing strategy has not only made ad spending more efficient but also more accountable, contributing to the substantial growth in the digital advertising sector.

One of the main factors driving the rise of outcome-based pricing is the increasing availability of data. Adtech companies are now able to collect and analyse vast amounts of data about users, including their demographics, interests, and online behaviour. This data allows them to create more targeted and effective advertising campaigns.

Another factor driving the rise of outcome-based pricing is the growth of programmatic advertising. Programmatic advertising allows advertisers to purchase ad space in real time, based on a variety of criteria, such as user data, website content, and ad performance. This has made it easier for advertisers to reach their target audiences and achieve their desired outcomes.

Outcome-based pricing has made ad budgets more open-ended with companies treating it as cost of goods sold (COGS). With outcome-based pricing, advertisers only pay when they achieve their desired outcomes, such as website visits, leads, or sales. This means that ad budgets can be more flexible, as advertisers can increase their spending as they achieve more results. Digital advertising is now a $500 billion industry, largely dominated by Google and Meta. This chart from Statista shows the rise of the digital advertising industry.

[I wrote about adtech’s performance-based model in Martech 2.0: Adtech-Style Performance Pricing Transformation.]

As adtech has grown, so has AdWaste. Therein lies the next big opportunity for outcome-based pricing and the Progency model for profit-sharing.

Thinks 1110

NYTimes: “Effective Accelerationism (often shortened to “e/acc,” pronounced “e-ack”) is a loosely organized movement devoted to the no-holds-barred pursuit of technological progress. The group believes that artificial intelligence and other emerging technologies should be allowed to move as fast as possible, with no guardrails or gatekeepers standing in the way of innovation. The group formed on social media last year, and bonded in Twitter Spaces and group chats over memes, late-night conversations and shared scorn for the people they call “decels” and “doomers” — the people who worry about the safety of A.I., or the regulators who want to slow it down. It has moved offline, too, with parties and hackathons in the Bay Area and beyond. Effective Accelerationism began as a cheeky response to an older, more established movement — Effective Altruism — that has become a major force in the A.I. world. E.A., as the older group is known, got its start promoting a data-driven approach to philanthropic giving, but in recent years has been worrying about A.I. safety, and promoting the idea that powerful A.I. could destroy humanity if left unrestrained.”

Erik Hoel: “A more interesting “bear case” for AI is that, if you look at the list of industries that leading AIs like GPT-4 are capable of disrupting—and therefore making money off of—the list is lackluster from a return-on-investment perspective, because the industries themselves are not very lucrative…Call it the supply paradox of AI: the easier it is to train an AI to do something, the less economically valuable that thing is. After all, the huge supply of the thing is how the AI got so good in the first place. While I don’t think the supply paradox of AI is some sort of economic iron law (if there even is such a thing), it might hold truer than many of those investing in the space would like. Like all things that initially appear as an infinite gold mine, it may turn out not to be for complicated downstream reasons. So I urge investors throwing money at anything that moves: be wary! AI might end up incredibly smart, but mostly at things that aren’t economically valuable.”

Carlo Rovelli: “The common explanations of why there is suffering are not convincing. I feel there is something yet to be understood from the question of why living beings suffer. Why has nature endowed us with such an unwelcome gift? She could have engineered the same behaviour without the pain. She has no reason to treat us well, but no obvious reason to treat us so badly either…Why should I have done anything differently? We go through life with good and bad, joy and grief, regrets and remorse. It is maddening and marvellous. But it is all OK. It is life.”

Ninan: “Businessmen look to prosper; what they seek to minimise is uncertainty, which denotes risk. Beyond that they are politically agnostic. They were unhappy with the Congress right up to the 1980s because of its policies, and changed their stance only after the 1991 reforms. Now the BJP is the preferred choice because it offers what the Mughals and later British offered in their time: A stable polity and an environment in which business could function. As Mark Twain said, history may not repeat itself but it often rhymes.”

Peter Rawlinson: “I see a future five, six years from now where EVs don’t need more than 150 miles range. You leave home with a full 150 because you’ve got overnight charging. You go to the office—you can plug in there. That leads to the car of the future. If it [vehicles] can do 6 miles per kilowatt-hour, do the math, 150 divided by 6. It would only require a 25 kilowatt-hour battery pack. Wouldn’t that be wonderful? Because that’s a quarter of the size of some of the battery packs today. If you look at our packs in the Lucid Air today, they are about 660 kilos. If we can get to a quarter of that, that is a profound reduction in weight. We’re talking about a little thing that could be about 150 kilograms, 350 pounds, that would fit underneath the front seats. That in itself would mean the vehicle’s more efficient. That will lead to a truly affordable electric car.”

Profishare: A New Business Model for Enterprise Software (Part 3)

Outcome-based Pricing

A critical aspect of all prevalent software business models is that the pricing remains tethered to usage metrics – such as the number of users, the amount of data processed, or the time spent using the software – rather than the outcomes or value derived from the software. This distinction is important in understanding the limitations of current pricing models in the software industry.

Usage-based models, while more flexible than flat-rate subscriptions, still do not account for the effectiveness or the impact of the software on a business’s operations or profitability. For instance, a company may pay based on the number of users, but this doesn’t reflect how the software contributes to achieving business goals or improving performance.

Also, transitioning to an outcome-based pricing model presents challenges, primarily in defining and measuring outcomes. Outcomes can be subjective and vary greatly between different businesses and industries. Outcomes can be subjective and qualitative, making it challenging to quantify and track performance. Traditional usage metrics are easier to measure. For instance, what constitutes a positive outcome for a marketing tool might be entirely different for a supply chain management system.

Shifting to an outcomes-based pricing requires a shift in mindset. Both vendors and customers are accustomed to usage-based pricing. Moving to outcomes requires a different perspective on the value of software. There is also the risk of over-dependence. Customers may become overly reliant on vendors to deliver outcomes, rather than taking ownership themselves. Then, there is the potential for gaming the system. Vendors may try to manipulate outcomes to maximise revenues. Customers may unfairly penalise vendors for factors out of their control. Finally, there is a mismatch in time horizons. Outcomes often materialise over long periods, while revenue models are short-term. This makes it hard to correlate software value.

Change is slowly happening. There are scenarios where some SaaS companies like to use outcome-based components in pricing. Custom software development shops sometimes tie payments to milestones and outcomes. But these scenarios are few and far between.

Despite these challenges, there is growing interest in outcome-based models. Such a model aligns incentives between vendor and customer for shared value. It drives product innovation and continuous improvement. Customers only pay if real business impact is achieved. Vendors share risks and are invested in customer success. This could lead to more collaborative relationships between software vendors and customers, with a focus on continuous improvement and adaptation of the software to meet evolving business needs.

Thinks 1109

Fei-Fei Li and John Etchemendy: “To effect change we need a moonshot mentality. In 2024, we need the government to galvanize a broad investment in AI that reflects America’s bold innovative spirit, backed by strong public-sector infrastructure. AI isn’t just a bag of clever products. It has tremendous potential to extend our lives, improve our societies and save our planet. Policy makers need to empower the public sector to play a vital leadership role in developing responsible AI that reflects the American values that our Constitution and Bill of Rights have etched into our nation’s DNA.”

Tavleen Singh: ” It is time for all reservations to go. In government jobs, universities, schools, in the army and in our paramilitary forces, all reservations must be scrapped. Enough has been enough for a while now, but because our political leaders find it hard to say this, it does not get said. And when columnists and political commentators say reservations should be scrapped, they end up tarred and feathered, so we do not speak up either…If there is one section of Indians who has benefited most from reservations, it is our politicians. They have perfected the art of creating vote banks based on caste, creed and tribe, and perfected the art of promising them the moon and the stars when elections come around. They have also learned the skill of using reservations in government schools and colleges to their own benefit by controlling who gets a reserved seat and who does not. Education is such a useful tool for political power that there is almost not a major political leader who is not running a school or college personally.”

Economic Times: “India’s consumption story is a baffling tale of contrasts. Luxury apartments, fancy cars and top-end consumer goods are flying off the shelves. Malls and restaurants are full while hotel rooms are pricier than ever amid surging demand. Meanwhile, FMCG companies are looking on enviously, unable to sell as much of biscuits, soaps, shampoos and perfumes as they would like. Economists trace the dichotomy to the pandemic, exacerbated by the subsequent developments that sharpened the contrast. “For some at the top of the income pyramid—both individuals and companies—the incomes did not get impacted,” says Sachidanand Shukla, group chief economist, L&T.”

David Henderson: “There has been a lot of discussion of newly elected Argentine president Javier Milei’s proposals for economic reform. Much of that discussion has been on how successfully he will implement his ambitious proposals for freeing Argentina’s highly statist economy. He has proposed getting rid of the central bank and putting Argentina on the US dollar standard that, if successful, would bring Argentina’s inflation rate down from triple digits to single digits. He has proposed slashing government spending by as much as 15 percent of GDP. To put that in perspective, if the US federal government did that, it would cut spending from about 24 percent of GDP to about 9 percent of GDP. He has proposed eliminating eleven government ministries and agencies and privatizing many of Argentina’s government-owned enterprises. What he will achieve is difficult to know. As Danish physicist Niels Bohr said, in a famous line often also attributed to baseball legend Yogi Berra, “Prediction is very difficult, especially if it’s about the future.” But what we can say is that Milei has a highly developed understanding of the most important ideas in economics. He will almost certainly make better decisions and more-thoughtful trade-offs than if he had the low-level, or even zero, understanding that is typical of politicians. A look at some of his pronouncements in interviews shows a sophisticated analytic mind at work.” FT: “At the root of Argentina’s problems is the government’s chronic overspending. The size of the state has almost doubled over the past two decades, with the government expanding the public sector payroll, handing out hefty fuel and electricity subsidies and boosting welfare programmes.”