HBR: “The ability to marry gen AI tools with digital twin technology has more recently enabled companies to create digital twins of organizational processes and supply chains. What’s more, this technology is no longer exclusive to large corporations; its reduced cost makes it accessible to small and medium enterprises (SMEs) as well. Even without extensive resources or dedicated analysts, SMEs can use gen AI with digital twins to analyze existing customer data and generate detailed virtual models of various customer segments. Unlike the clunky, custom-made and pricey versions of the past, today’s digital twins are fast, inexpensive and far more advanced. They involve a virtual replica of a real object system using historical and real-time data, paired with advanced analytics and machine learning models. This is more than a mere simulation — managers can subject digital twins of real systems to multiple scenarios, then make changes to their inputs to the real system based on the data produced by the model scenarios, and then use the data to produce to put the digital twin through revised scenarios which produce more data to apply to the real system, and so forth.”
Ashu Garg: “Christian Owens, founder of Paddle, put it succinctly on the B2BaCEO podcast: “There comes a point, usually around $10M ARR, where founders need to shift their attention from the product they’re building to the company itself. The organization itself becomes the product, demanding the same care and vision that went into the original offering.” As Owens hints, this crisis isn’t only personal. As I outlined in my March newsletter, a new set of business challenges emerge as startups hit this revenue milestone: Churn, once a manageable concern, becomes an existential threat; Overselling features, a common early-stage tactic, risks creating a cohort of dissatisfied customers; Lack of robust onboarding and support processes causes even well-designed products to not deliver value, as they can’t be implemented effectively; Technical debt accrued during the “move fast and break things” phase comes due with a vengeance; Pressure to maintain growth rate can lead to hasty expansions into new markets and customer segments.”
Economist: “You may also have noticed that governments are bigger than they once were. Whereas in 1960 state spending across the rich world was equal to 30% of GDP, now it is above 40%. In some countries growth in the state’s economic power has been still more dramatic. Since the mid-1990s Britain’s government spending has risen by six percentage points of gdp, while South Korea’s has risen by ten points. All of which raises a paradox: if governments are so big, why are they so ineffective? The answer is that they have turned into what can be called “Lumbering Leviathans”. In recent decades governments have overseen an enormous expansion in spending on entitlements. Because there has not been a commensurate increase in taxes, redistribution is crowding out spending on other functions of government, which, in turn, is damaging the quality of public services and bureaucracies. The phenomenon may help explain why people across the rich world have such little faith in politicians. It may also help explain why economic growth across the rich world is weak by historical standards.”
NYTimes: “In private conversations, Mr. [Sam] Altman has compared the world’s data centers to electricity, according to three people close to the discussions. As the availability of electricity became more widespread, people found better ways of using it. Mr. Altman hoped to do the same with data centers and eventually make A.I. technologies flow like electricity.”
