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The Nobel Prize in Economics goes to prosperity researchers

Darren Acemoglu, Simon Johnson and James A. Robinson received this year’s Nobel Prize in Economic Sciences for their contributions to proving the importance of public institutions to a country’s prosperity.

KEY FACTS

  • The prestigious prize, officially known as the Sveriges Riksbank Prize for Economic Sciences in Memory of Alfred Nobel, is the last prize awarded this year and is worth SEK 11 million ($1.1 million).
  • This year’s laureates showed that one of the explanations for differences in countries’ prosperity is the social institutions introduced during European colonization. Inclusive institutions were often introduced in countries that were poor at the time of colonization, which over time led to general prosperity for the population. This is an important reason why former colonies that were once rich are now poor and vice versa.
  • Introducing inclusive institutions would create long-term benefits for everyone, but extractive institutions provide short-term gains for those in power. As long as the political system ensures they retain their control, no one will trust their promises of future economic reforms. According to the laureates, this is the reason why there is no improvement.
  • “Reducing the huge income gaps between countries is one of the greatest challenges of our time. The laureates have demonstrated the importance of public institutions in achieving this,” said Jakob Svensson, Chairman of the Economic Sciences Prize Committee.
  • “Societies with poor rule of law and institutions that exploit the population do not generate growth or change for the better,” the prize’s organizers add on their website.

TANGENT

Darren Acemoglu and Simon Johnson work at MIT, while James Robinson is at the University of Chicago.

Acemoglu and Johnson recently collaborated on a book researching technology through the ages that demonstrates how some technological advances are better at creating jobs and spreading wealth than others.

KEY STORY

The Economics Prize is not one of the original science, literature and peace prizes created by the will of dynamite inventor and businessman Alfred Nobel and first awarded in 1901, but is a later additional prize established and funded by the Central Bank of Sweden in 1968.

Past recipients of the award include a number of influential thinkers such as Milton Friedman, and John Nash – played by actor Russell Crowe in the 2001 film A Beautiful Mind, and former US Federal Reserve Chairman Ben Bernanke.

Last year, Harvard economic historian Claudia Goldin won a prize for her work highlighting the causes of pay and labor market inequality between men and women.

AI Cost Control Emerges As The Next Competitive Advantage

Companies that can control rapidly rising artificial intelligence costs may gain an advantage as AI models become increasingly commoditized, according to PwC.

The professional services firm said AI cost-control tools are becoming widespread and standardized, making them necessary to compete but less useful as a differentiator. Disciplined spending could also free capital for additional AI initiatives and create a compounding advantage.

One global technology company reportedly cut the cost of each AI run by 65% to 80%, allowing it to run three to five times as much AI on the same budget.

Why AI Spending Keeps Rising

Token prices are falling, but total AI spending continues to increase as lower unit costs encourage broader deployment. More workflows can also mean more calls, retries and system dependencies.

“Everyone tries to use AI everywhere, even if it just makes workflows more complex and expensive,” PwC said, noting that access to the same underlying models limits the competitive value of higher spending.

Companies also often lack visibility into token consumption and where waste occurs.

Hidden Costs Add Up

AI expenses can accumulate across planning, tool use, retrieval, reasoning, orchestration, safeguards, logging and review. Indirect infrastructure costs are also often excluded from initial budgets.

Agent-based systems can increase spending further by creating plans, delegating tasks, retrieving information or repeating processes when results fall short.

Model costs vary sharply, with PwC estimating that one million tokens can cost anywhere from pennies to $50. Choosing the cheapest model is not necessarily the best option because weaker systems can create additional work, poor decisions or compliance problems.

Financial Discipline Can Reduce Waste

PwC recommends examining three sources of AI cost overruns: rates, such as supplier price changes; volume, including excessive calls and retries; and mix, meaning the wrong model tier for a task.

Its operating model calls for assessing cost and value before development, redesigning systems to eliminate waste, linking spending to business outcomes and reinvesting savings in additional AI projects.

Companies can reduce costs by limiting unnecessary context, combining tasks into fewer calls, setting spending limits and routing work to the least expensive suitable model. PwC said these controls should be built into AI systems through budget limits, routing rules, workflow thresholds and audit trails.

Human Oversight Still Matters

Automated controls do not replace human oversight. PwC said technology should flag decisions for review and provide the information needed to align actions with business priorities.

In the technology company case study, the approach cut average runtime from 12 hours to four hours while maintaining output quality. PwC recommends tracking the cost of each AI workflow against its business outcome, putting AI spending on the CFO’s agenda and preparing for more outcome-based vendor pricing.

Discipline May Define The Next AI Advantage

PwC said companies should start with their most valuable AI applications, where better cost management and governance can deliver the greatest returns.

“The next round of AI advantage won’t go to whoever runs the most powerful models,” PwC said, noting that many companies will use the same underlying systems.

“Advantage will likely go to whoever runs them with more discipline,” the firm concluded.

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