Connect with us

Business

China’s economic data is famously unreliable—and could be a warning if Trump meddles with the Bureau of Labor Statistics

Published

on



U.S. President Donald Trump’s decision to fire the federal government’s lead statistician after a disappointing jobs report spurred warnings over the potential fallout if the country’s economic data—considered the gold standard in measurement—can no longer be trusted. There are other examples of countries with unreliable and politicized economic data—and some point to China as a cautionary tale.

Officially, China’s economy grew by 5% last year, according to the country’s National Bureau of Statistics. Some independent estimates, like those of Goldman Sachs and Citigroup, match China’s official figure. Other estimates are significantly lower, like the 2.8% GDP growth calculated by the Rhodium Group, a China-focused research firm. 

Statistical measures can change or disappear without explanation. In 2023, after a surge in youth unemployment to a high of 21.3%, China’s statistics bureau abruptly stopped publishing the data, citing a need to tweak the measurement. A few months later, the number returned, several percentage points lower after excluding students from the measurement. (Youth unemployment stayed high, despite the change: Just under 18% of 16 to 24-year-olds were unemployed in July.)

Then there’s pressure to follow the official narrative on the economy. During the depths of China’s recent economic slowdown, economists and analysts reportedly faced pressure to tone down their negative analysis. “The party is really intolerant of economic instability, and so everything gets smoothed,” Derek Scissors, a senior fellow at the American Enterprise Institute, says. 

But why is China’s economic data collection so problematic? What do economists and investors use instead? 

China’s data struggles

Collecting economic data is really hard, particularly for a large and emerging economy like China. “The quality and breadth of U.S. economic statistics is simply on another planet compared to China’s data,” laments Christopher Beddor, deputy China research director at Gavekal. “It’s striking how little progress there has been in some areas over the past 20 years,” particularly in areas like measuring services and household consumption. 

China’s data collection also doesn’t match how other countries measure economic data, in part due to its history as a centrally planned economy. Scissors, who is also the chief economist of research firm China Beige Book, suggests that many transactions within state-owned companies, such as between parents and subsidiaries, are done on a “non-market” basis. 

“In terms of the surveys, sometimes they refuse to ask the right questions. They don’t have an unemployment survey that asks about unemployment,” he adds. 

Dan Wang, China director for the Eurasia Group, points out that there are incentives to manipulate the data that goes into national surveys. “Businesses underreport to avoid taxes, local officials overreport to get promotions,” she notes. “This problem has been aggravated in this economic downturn.”

Top officials recognize that there’s a problem. Late last year, China approved legislation that would hold local governments accountable for statistical fraud. 

So how do investors make decisions?

China’s unreliable numbers have created a “cottage industry of alternative measures of GDP growth for investors,” says Beddor, from Gavekal. “But none have really earned an industry consensus as superior or truly reliable.”

In 2010, The Economist formulated what it called the “Li Keqiang index,” named after China’s former premier, which tracked railway cargo volume, electricity consumption, and bank loans. The index was based on a leaked U.S. State Department memo which claimed the premier—then a provincial government official—used those indicators as a better way to track China’s economy than more unreliable official data, particularly at the provincial level. 

“I used to rely on electricity,” says Alicia Garcia-Herrero, the chief Asia-Pacific economist at investment bank Natixis, though she adds that there’s now more data available. Analysts now look to data points like sales of consumer durables or the popularity of luxury goods to measure things like consumption. 

For Beddor, the answer is to “look at as many data series as you can and try to form a narrative of what’s happening in the economy.” 

Some data points can be cross-checked with other sources, including those outside of China, when it comes to trade statistics. And China’s private sector can also be a source of insights into how the economy is doing, even if those conclusions don’t come with a hard number. “If you talk to many businesses, you get a very good sense of what’s going on,” says Garcia-Herrero.

Unreliable data can also be valuable as a signal of what Beijing is thinking, Wang says. “Even if governments overreport GDP growth, markets will take it as anticipating policy support to reach the target,” she explains. 

“Making decisions on China is about policy signals. It’s not a market-driven economy. State decisions on policies are the most important thing to follow,” Wang says.

What about the U.S.?

If U.S. economic data starts to look a little more unreliable, that’s likely to make businesses more unwilling to make large spending decisions. “When you’re facing that kind of uncertainty, it’s harder to make major economic decisions,” Scissors, of AEI, says. Companies may hold back on committing to new investments if they’re not confident that “conditions are ripe,” he warns. “You will get less economic activity.”

That’s certainly been the case in China. Both domestic and foreign businesses held back on investing in China due to concerns that the country’s economy was worse than official numbers suggested, with some analysts even calling the country “uninvestable.” 

Beijing’s promise to stimulate the economy and a DeepSeek-fuelled AI boom have reversed sentiment this year—and Chinese market indices like the Hang Seng Index have outperformed the S&P 500.

But the country’s economy is still struggling. Retail sales in July rose by 3.7%, below consensus expectations. Industrial production also rose at its slowest rate—5.7%—since last November. “We expect added policy support to lift domestic demand to be rolled out soon and faster implementation of announced policies will also be needed to help stabilize the growth in H2,” HSBC economists wrote earlier this week.



Source link

Continue Reading

Business

McKinsey’s CFO: Why finance chiefs shouldn’t hit pause on AI right now

Published

on



Good morning. For CFOs, using the words “uncertainty” and “unprecedented” has become second nature this year.

“There’s a bit of fatigue from uncertainty right now,” Yuval Atsmon, CFO of McKinsey, told me when we met in Washington, D.C., to discuss how finance chiefs navigated 2025 and the impact of AI. He often hears some executives joke, “Can we just have something that has a precedent?”

Following President Donald Trump’s so-called Liberation Day, Atsmon said significant uncertainty emerged around the new administration’s economic and geopolitical agenda. “If I look at the peak of uncertainty, what I was focused on as a CFO was: What are the things that I should be doing that would be helpful in any scenario?” Atsmon said. “The worst thing is inaction,” he added. Acting on what you can control builds resilience, he said.

Key questions included: How can you improve liquidity and operational efficiency? What costs can be delayed or eliminated? Which investments are essential, and which can be stopped?

While uncertainty often drives defensive moves, Atsmon noted the importance of reviewing long-standing strategies and seizing competitive opportunities. “I wouldn’t recommend anyone stop making AI investments at this moment,” he said, adding that some actions are still driven by inertia, not strategy.

“The other thing that I think is different in 2025 than it was over the last 100 years is that so much of resource allocation now happens through the technology function of the company,” Atsmon said.

Yet there’s still uncertainty about AI’s readiness to impact the bottom line. McKinsey already uses AI to handle up to 30% of its tasks—such as faster research and better summarization—but “you can’t really do a full strategic analysis yet,” he said. Timelines vary widely by company.

Atsmon pointed to new McKinsey research estimating profound changes in how work is done by 2030. People will need to reorganize how they create value or take on different activities. For CFOs, curiosity about technology is useful, but the core responsibility is enabling the organization to respond at the right pace—neither moving so fast that it creates financial strain nor so slowly that competitiveness erodes, he said.

For most organizations, he believes AI efforts should be “80% on productivity for growth and 20% on productivity for efficiency.” The biggest opportunity, he said, lies not in reducing headcount but in unlocking better uses of time.

Ultimately, leveraging AI requires a willingness to reimagine how work gets done. It is a cross-functional C-suite effort. “More than ever,” Atsmon said, “managing uncertainty—economic, geopolitical, and technological—comes down to planning for the best, but also preparing for the worst.”

SherylEstrada
sheryl.estrada@fortune.com

Leaderboard

Jennifer DiRico was appointed EVP and CFO of PTC (Nasdaq: PTC), effective Jan. 1. DiRico succeeds Kristian Talvitie, who will continue to serve as CFO through Dec. 31. DiRico’s experience ranges from large-scale enterprise software organizations to high-growth technology companies. She currently serves as CFO of Commvault, a cyber resilience company. Before Commvault, DiRico spent several years at Toast in finance and operations leadership roles.

David Hastings was appointed CFO of Trevi Therapeutics, Inc. (Nasdaq: TRVI), a clinical-stage biopharmaceutical company, effective Jan. 6. Hastings brings over 25 years of financial leadership experience. Most recently, he was CFO at Arbutus from June 2018 until March 2025. Previously, he was SVP and CFO of Unilife from 2015 until 2017.  Prior to that, Hastings spent the majority of his career as CFO and EVP at Incyte. 

Big Deal

“Global Economic Outlook Q1 2026: AI Tailwinds Boost Otherwise Weak Growth” is an economic research report published by S&P Global Ratings. Some key takeaways from the report include that global growth is holding up better than expected into 2026, helped by AI-driven investment and exports, even as underlying demand stays relatively soft. Also, forecasts have been revised up in many countries, but policy uncertainty, labor markets, bond yields, and the risk that AI underdelivers on earnings all remain key threats to the outlook.

Going deeper

KPMG’s latest “M&A trends in financial services” report is a review of M&A in Q3 for each of the banking, capital markets, and insurance sectors, with the latest data and top deals, as well as an outlook for M&A.

“Momentum from the prior quarter, driven by regulatory rollback and private equity interest, persisted in the third quarter of 2025,” according to the report. “However, inflation, credit quality concerns, trade policy uncertainty, and geopolitical tensions posed significant challenges, requiring adept navigation.”

Overheard

“In the days after the acquisition was completed, I was asked during a media interview if good luck was a factor in bringing together these two tech industry stalwarts. Replace good luck with good timing, and the answer is a resounding, ‘Yes!'”

Amit Walia, the CEO of Informatica, a Salesforce company, writes in a Fortune opinion piecetitled, “Why the timing was right for Salesforce’s $8 billion acquisition of Informatica—and for the opportunities ahead.”



Source link

Continue Reading

Business

Fortune Brainstorm AI San Francisco starts today, with Databricks, OpenAI, Cursor, and more on deck

Published

on



It’s been a crazy few weeks in AI.

Granted, it feels like it’s always been a crazy few weeks in AI. But this cycle has been especially notable: Reports that Sam Altman has declared a “code red” around improving ChatGPT have made waves, while Databricks is reportedly in talks to raise at a jaw-dropping $134 billion valuation. Anthropic is reportedly looking at a real-life IPO, and everyone’s always watching for news from perhaps the biggest ascent of the year: Cursor, the AI coding juggernaut that’s now valued at more than $29 billion. 

And today, Brainstorm AI starts, and so many of these key players will be with us live in San Francisco, including Databricks CEO Ali Ghodsi, OpenAI COO Brad Lightcap, Cursor CEO Michael Truell, San Francisco Mayor Daniel Lurie, Google Cloud CEO Thomas Kurian, and Rivian CEO RJ Scaringe, plus some starpower from Joseph Gordon-Levitt and Natasha Lyonne. 

If you’re attending the conference, come find me! I’ll realistically be the one running around in a bright pantsuit. And if you can’t make it, we’ll be livestreaming the show, too – tune in here.

See you soon,

See you tomorrow,

Allie Garfinkle
X:
@agarfinks
Email:alexandra.garfinkle@fortune.com
Submit a deal for the Term Sheet newsletter here.

Joey Abrams curated the deals section of today’s newsletter.Subscribe here.

Venture Deals

Antithesis, a Tysons Corner, Va.-based platform designed to validate that software works before it launches, raised $105 million in Series A funding. JaneStreet led the round and was joined by AmplifyVenturePartners, SparkCapital, and others.

ParadigmHealth, a Columbus, Ohio-based clinical research platform, raised $78 million in Series B funding. ARCHVenturePartners led the round and was joined by DFJGrowth and existing investors.

Oxzo, a Santiago, Chile-based provider of oxygenation services for aquaculture, raised $25 million in funding from S2GInvestments.

Quanta, a San Francisco-based accounting platform, raised $15 million in Series A funding. Accel led the round and was joined by OperatorCollective, NavalRavikant, DesignerFund, and others.

LizzyAI, a New York City-based AI-powered talent interviewing company, raised $5 million in seed funding. NEA led the round and was joined by Speedinvest and ZeroPrimeVentures

PvX, a Singapore-based provider of user-acquisition financing for gaming companies, raised $4.7 million in a seed extension from Z Venture Capital, DrivebyDraftKings, and existing investors.

Corma, a Paris, France-based developer of a copilot for AI teams, raised €3.5 million ($4.1 million) in seed funding. XTXVentures led the round and was joined by TuesdayCapital, KimaVentures, 50Partners, OlympeCapital, and angel investors.

Private Equity

NITEOProducts, a portfolio company of HighlanderPartners, acquired Folexport, a Tualatin, Ore.-based manufacturer of carpet, fabric, and hard surface cleaning products. Financial terms were not disclosed.



Source link

Continue Reading

Business

Why the worst leaders sometimes rise the fastest

Published

on



History is crowded with CEOs who have flamed out in very public ways. Yet when the reckoning arrives, the same question often lingers: How did this person keep getting promoted? In corporate America, the phenomenon is known as “failing up,” the steady rise of executives whose performance rarely matches their trajectory. Organizational psychologists say it’s not an anomaly. It’s a feature of how many companies evaluate leadership.

At the core is a well-documented bias toward confidence over competence. Studies consistently show that people who speak decisively, project certainty, and take credit for wins—whether earned or not—are more likely to be perceived as leadership material. In ambiguous environments, boards and senior managers often mistake boldness for ability. As long as a leader can narrate failure convincingly—blaming market headwinds, legacy systems, or uncooperative teams—their upward momentum may continue.

Another driver is asymmetric accountability. Senior executives typically oversee vast, complex systems where outcomes are hard to tie directly to individual decisions. When results are good, credit flows upward. When results are bad, blame diffuses downward, and middle managers, project leads, and market conditions become convenient shock absorbers. This allows underperforming leaders to survive long enough to secure their next promotion.

Then there’s the mobility illusion. In many industries, frequent job changes are read as ambition and momentum rather than warning signs. An executive who leaves after short, uneven tenures can reframe each exit as a “growth opportunity” or a strategic pivot. Recruiters and boards, under pressure to fill top roles quickly, often rely on résumé signals, like brand-name firms, inflated titles, and elite networks, rather than deep performance audits.

Ironically, early visibility can also accelerate failure upward. High-profile roles magnify both success and failure, but they also increase name recognition. An executive who runs a troubled division at a global firm may preside over mediocre results, yet emerge with a reputation as a “big-company leader,” making them attractive for a CEO role elsewhere.

The reckoning usually comes only at the top. As CEO, the buffers disappear. There is no one left to blame, and performance is judged in the blunt language of earnings, stock price, profitability, or layoffs. The traits that once fueled ascent, such as overconfidence, risk-shifting, and narrative control, become liabilities under full scrutiny.

The central lesson for aspiring CEOs is that the very system that rewards confidence, visibility, and narrative control on the way up often masks weak execution until the top job strips those protections away. Future leaders who want to avoid “failing upward” must deliberately build careers grounded in verifiable results and direct ownership of outcomes because at the CEO level, there is no narrative strong enough to substitute for performance.

Ruth Umoh
ruth.umoh@fortune.com

Smarter in seconds

Big biz buy-in. Anthropic is all in on ‘AI safety’—and that’s helping the $183 billion startup win over big business

Old guard upgrade. How the bank founded by Alexander Hamilton is transforming for the future of finance

Pressure test. Inside the Fortune 500 CEO pressure cooker: surviving is harder than ever and requires an ‘odd combination’ of traits

Rank racing. The one-upmanship driving CEOs

Leadership lesson

Anthropic’s Dario Amodei on when a startup gets too big to know all employees: “It’s an inevitable part of growth.”

News to know

Investors are questioning OpenAI’s profitability amid its massive spending while increasingly viewing Alphabet as the deeper-pocketed winner in the AI race. Fortune

Trump warned that Netflix’s $72 billion bid for Warner Bros. Discovery could face antitrust scrutiny, suggesting it would create an overly dominant force in streaming. Fortune

An etiquette camp is trying to help Silicon Valley shed its sloppy image by teaching tech elites how to dress and behave as their influence grows. WaPo

IBM is reportedly in advanced talks to buy data-infrastructure firm Confluent for about $11 billion, bolstering its AI data capabilities. WSJ

Even as women reach top roles in politics and business at record levels, public confidence in their leadership is stagnating or declining. Bloomberg

Terence “Bud” Crawford, the undefeated 38-year-old boxing champion, has earned more than $100 million and even turned Warren Buffett into a fan. Forbes

Big Tech leaders now warn that artificial intelligence is advancing to the point where it could begin replacing even CEOs, reshaping the very top of corporate leadership. WSJ

This is the web version of the Fortune Next to Lead newsletter, which offers strategies on how to make it to the corner office. Sign up for free.



Source link

Continue Reading

Trending

Copyright © Miami Select.