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Data, Data and Yet More Data
William Poole*
President, Federal Reserve Bank of St. Louis

The Association for University Business and Economic Research (AUBER) Annual Meeting
University of Memphis
Memphis, Tenn.
Oct. 16, 2006

*I appreciate comments provided by my colleagues at the Federal Reserve Bank of St. Louis. Robert H. Rasche, senior vice president and director of research, provided special assistance. However, I take full responsibility for errors. The views expressed are mine and do not necessarily reflect official positions of the Federal Reserve System.


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Data, Data and Yet More Data

I am very pleased to be here today at the annual meeting of the Association for University Business and Economic Research. I’ve long had an interest in data, and I think that this topic is a good one for this conference. The topic is also one I’ve not addressed in a speech.

A personal recollection might be a good place to begin. In the early 1960s, in my Ph.D. studies at the University of Chicago, I was fortunate to be a member of Milton Friedman’s Money Workshop. Friedman stoked my interest in flexible exchange rates, in an era when mainstream thinking was focused on the advantages of fixed exchange rates and central banks everywhere were committed to maintaining the gold standard. Well, I should say central banks almost everywhere, given that Canada had a floating rate system from 1950 to 1962. Friedman got me interested in doing my Ph.D. dissertation on the Canadian experience with a floating exchange rate, and later I did a paper on nine other floating rate regimes in the 1920s. For this paper I collected daily data on exchange rates from musty paper records at the Board of Governors in Washington.

What was striking about the debates over floating rates in the 1950s is that economists were so willing to speculate about how currency speculators would destabilize foreign exchange markets without presenting any evidence to support those views. In this and many other areas, careful empirical research has resolved many disputes. Our profession has come a long way in institutionalizing empirical approaches to resolving empirical disputes. The enterprise requires data, and what I will discuss is some of the history of the role of the Federal Reserve Bank of St. Louis in providing the data.

Before proceeding, I want to emphasize that the views I express here are mine and do not necessarily reflect official positions of the Federal Reserve System. I thank my colleagues at the Federal Reserve Bank of St. Louis for their comments. Robert H. Rasche, senior vice president and director of research, provided special assistance. However, I retain full responsibility for errors.

Origins
The distribution of economic data by the Research department of the Federal Reserve Bank of St. Louis can be traced back at least to May 1961. At that time, Homer Jones, then director of research, sent out a memo with three tables attached showing rates of change of the money supply (M1), money supply plus time deposits, and money supply plus time deposits plus short-term government securities. His memo indicated that he “would be glad to hear from anyone who thinks such time series have value, concerning promising applications or interpretations.” Recollections of department employees from that time were that the mailing list was about 100 addressees.

Apparently Homer received significant positive feedback, since various statistical releases emerged from this initial effort. Among these were Weekly Financial Data, subsequently U.S. Financial Data; Bank Reserves and Money, subsequently Monetary Trends; National Economic Trends (1967) and International Economic Trends (1978), all of which continue to this date. In April 1989, before a subscription price was imposed, the circulation of U.S. Financial Data had reached almost 45,000. A Business Week article published in 1967 commented about Homer that “while most leading monetary economists don’t buy his theories, they eagerly subscribe to his numbers.”(1) As an aside, as a Chicago Ph.D. I both bought the theories and subscribed to the data publications. By the late 1980s, according to Beryl Sprinkel, a prominent business economist of the time, “weekly and monthly publications of the Research Department, which have now become standard references for everyone from undergraduates to White House officials, were initially Homer’s products.”(2)

Why should a central bank distribute data as a public service? Legend has it that Homer Jones viewed as an important part of his mission to provide the general public with timely information about the stance of monetary policy. In this sense he was an early proponent, perhaps the earliest proponent, of central bank accountability and transparency. While Homer was a dedicated monetarist, and data on monetary aggregates have always figured prominently in St. Louis Fed data publications, data on other variables prominent in the monetary policy debates at the time, including short-term interest rates, excess reserves and borrowings, were included in the data releases.

Early on, the various St. Louis Fed data publications incorporated “growth triangles,” which tracked growth rates of monetary aggregates over varying horizons. Accompanying graphs of the aggregates included broken trend lines that illustrated rises and falls in growth rates. This information featured prominently in monetarist critiques of “stop-go” and procyclical characteristics of monetary policy during the Great Inflation period.

Does the tradition of data distribution initiated by Homer Jones remain a valuable public service? I certainly believe so. But I will also note that the St. Louis Fed’s data resources are widely used within the Federal Reserve System. This information is required for Fed research and policy analysis; the extra cost of making the information available also to the general public is modest.

Rational Expectations Macroeconomic Equilibrium
The case for making data readily available is simple. Most macroeconomists today adhere to a model based on the idea of a rational expectations equilibrium. Policymakers are assumed to have a set of goals, a conception of how the economy works and information about the current state and history of the economy. The private sector understands, to the extent possible, policymakers’ views, and has access to the same information about the state and history of the economy as policymakers have.

An equilibrium requires a situation in which the private sector has a clear understanding of policy goals and the policymakers’ model of the economy, and the policy model of the economy is as accurate as economic science permits. Based on this understanding, market behavior depends centrally on expectations concerning monetary policy and the effects of monetary policy on the economy, including effects on inflation, employment and financial stability. If the policymakers and private market participants do not have views that converge, no stable equilibrium is possible because expectations as to the behavior of others will be constantly changing.

The economy evolves in response to stochastic disturbances of all sorts. The continuous flow of new information includes everything that happens—weather disturbances, technological developments, routine economic data reports and the like. The core of my policy model is that market responses and policy responses to new information are both maximizing—households maximize utility, firms maximize profits and policymakers maximize their policy welfare function.

A critical assumption in this model is the symmetry of the information that is available to both policymakers and private market participants. In cases where the policymakers have an informational advantage over market participants, policy likely will not unfold in the way that markets expect, and the equilibrium that I have characterized here will not emerge. Hence public access to current information on the economy at low cost is a prerequisite to good policy outcomes.

The Evolution of St. Louis Fed Data Services
Data services provided by the Federal Reserve Bank of St. Louis have evolved significantly from the paper publications initiated by Homer Jones. The initial phase of this evolution began in April 1991 when FRED, Federal Reserve Economic Data, was introduced as a dial-up electronic bulletin board. This service was not necessarily low cost. For users in the St. Louis area, access was available through a local phone call. For everyone else, long-distance phone charges were incurred. Nevertheless, within the first month of service, usage was recorded from places as wide ranging as Taipei, London, England and Vancouver, Canada.(3) FRED was relatively small scale. The initial implementation included only the data published in U.S. Financial Data and a few other time series. Subsequently it was expanded to include the data published in Monetary Trends, National Economic Trends and International Economic Trends. At the end of 1995, the print versions of these four statistical publications contained short histories on approximately 200 national and international variables; initially FRED was of comparable scope.

The next step occurred in 1996 when FRED migrated to the World Wide Web. At that point, 403 national time series became available instantaneously to anyone who had a personal computer with a Web browser. An additional 70 series for the Eighth Federal District were also available. The data series were in text format and had to be copied and pasted into the user’s PC. In July 2002, FRED became a true database and the user was offered a wider range of options. Data can be downloaded in either text or Excel format. Shortly thereafter user accounts were introduced so that multiple data series can be downloaded into a single Excel workbook, and data lists can be stored for repeated downloads of updated information. In the first six months after this version of FRED was released, 3.8 million hits were recorded to the website. In a recent six-month period, FRED received 21 million hits from over 109 countries around the world. FRED currently contains 1175 national time series and 1881 regional series. FRED data are updated on a real-time basis as information is released from various statistical agencies.

After 45 years, Homer Jones’s modest initiative to distribute data on three variables has developed into a broad-based data resource on the U.S. economy that is available at the click of a mouse around the globe. Through this resource, researchers, students, market participants and the general public can reach informed decisions based on information that is comparable to the information policymakers have.

In the past year we have introduced a number of additional data services. One of these, ALFRED, adds a vintage (or real-time) dimension to FRED. The ALFRED database stores revision histories of the FRED data series. Since 1996, we have maintained monthly or weekly archives of the FRED database. All the information in these archives has been populated to the ALFRED database, and the user can access point-in-time revisions of these data.(4) We have also extended the revision histories of many series back in time using data that were recorded in U.S. Financial Data, Monetary Trends and National Economic Trends. For selected quarterly National Income and Product data we have complete revision histories back to 1959 for real data and 1947 for nominal data. Revision histories are available on household and payroll employment data back to 1960. A similar history for industrial production is available back to 1927.

Preserving such information is crucial to understanding historical monetary policy. For example, Orphanides shows “that real-time policy recommendations differ considerably from those obtained with ex-post revised data. Further, estimated policy reaction functions based on ex-post revised data provide misleading descriptions of historical policy and obscure the behavior suggested by information available to the Federal Reserve in real time.”(5) Orphanides concludes that “reliance on the information actually available to policymakers in real time is essential for the analysis of monetary policy rules.”(6)

Such vintage information also is essential for analysis of conditions at subnational levels. For example, in January 2005 the BLS estimated that nonfarm employment in the St. Louis MSA had increased by 38.8 thousand between December 2003 and December 2004. This increase was widely cited as evidence that the MSA had returned to strong employment growth after four years of negative job growth. However, these data from the Current Employment Statistics (CES) were not benchmarked to more comprehensive labor market information that is available only with a lag.(7) The current estimate of nonfarm employment growth in the St. Louis MSA for this period, after several revisions, is only 11.6 thousand, less than 30 percent of the increase originally reported.

Another data initiative that we launched several years ago is FRASER – the Federal Reserve Archival System for Economic Research. The objective of this initiative is to digitize and distribute the monetary and economic record of the U.S. economy. FRASER is a repository of image files of important historical documents and serial publications. At present we have posted the entire history of The Economic Report of the President, Economic Indicators and Business Conditions Digest. We have also posted images of most issues of the Survey of Current Business from 1925 through 1990 and are working on filling in images of the remaining volumes. The collection also includes Banking and Monetary Statistics and the Annual Statistical Digests published by the Board of Governors, as well as the Business Statistics supplements to the Survey of Current Business published by the Department of Commerce. We are currently working, in a joint project with the Board of Governors, to image the entire history of the Federal Reserve Bulletin. Finally, we are posting images of historical statistical releases that we have collected in the process of extending the vintage histories in ALFRED back in time. These images should allow scholars, analysts and students of economic history to reconstruct vintage data on many series in addition to those we are maintaining on ALFRED.

Transparency, Accountability and Information Distribution
As just indicated, the scope of the archival information in FRASER extends beyond numeric data. Ready access to a wide variety of information is essential for transparency and accountability of monetary authorities and a full understanding of policy actions by the public. Since 1994 the Federal Reserve System and the FOMC have improved the scope and timeliness of information releases. I have discussed this progress in previous speeches.(8) Currently the FOMC releases a press statement at the conclusion of each scheduled meeting and three weeks later follows up with the release of minutes of the meeting. The press release and the minutes of the meetings record the vote on the policy action. The policy statement and minutes give the public a clear understanding of the action taken and insight into the rationale for the action.

Contrast the current situation with the one in 1979. At that time, actions by the Board of Governors on discount rate changes were reported promptly, but there was no press release subsequent to an FOMC policy action and FOMC meeting minutes were released with a 90-day delay. On Sept. 19, 1979, the Board of Governors voted by the narrow margin of 4-3 to approve a ½ percentage-point increase in the discount rate, with all three dissents against the increase. This information generated the public perception that the Fed officials were sharply divided and, therefore, that the Fed was not prepared to act decisively against inflation. John Berry, a knowledgeable reporter at the Washington Post, observed that “the split vote, with its clear signal that from the Fed’s own point of view interest rates are at or close to their peak for this business cycle, might forestall any more increases in market interest rates.”(9) However, the interpretation of the “clear signal” was erroneous. On that same day, the FOMC had voted 8 to 4 to raise the range for the intended funds rate to 11-1/4 to 11-3/4 percent. More importantly, three of the four dissents were in favor of a more forceful action to restrain inflation.(10) Neither the FOMC’s action, the dissents nor the rationale for the dissents were revealed to the public under the disclosure policies then in effect. The result was to destabilize markets, with commodity markets, in particular, exhibiting extreme volatility.

Conclusion
The tradition of data services was well established when I arrived in St. Louis in 1998, and I must say that I am proud that leadership in the Bank’s Research division has extended that tradition. Data are the lifeblood of empirical research in economics and of policy analysis. Our rational expectations conception of how the macroeconomy works requires that the markets and general public understand what the Fed is doing and why. Of all the things on which we spend money in the Federal Reserve, surely the return on our data services is among the highest.

 

References
1. “Maverick in the Fed System,” Business Week, November 18, 1967.

2. Beryl W. Sprinkel, “Confronting Monetary Policy Dilemmas: the Legacy of Homer Jones,” Federal Reserve Bank of St. Louis Review, March 1987, p 6.

3. “Introducing FRED,” Eighth Note, Federal Reserve Bank of St. Louis, May/June 1991, p. 1.

4. We do not maintain histories of daily data series in ALFRED. Interest rates and exchange rates appear at daily frequencies in FRED. In principal these data are not revised, though occasional recording errors are observed to slip into the initial data releases. Such reporting errors get corrected in subsequent publications, so sometimes there is a vintage dimension to one of these series.

5. A. Orphanides, “Monetary Policy Rules Based on Real-Time Data,” American Economic Review, 91(4), September 2001, pp. 964.

6. ibid.

7. H.J. Wall and C.H. Wheeler, “St. Louis Employment in 2004: A Tale of Two Surveys,” CRE8 Occasional Report No. 2005-1, February 9, 2005.

8. See for example, FOMC Transparency,

9. J. Berry, “Fed Lists Discount Rate to Peak of 11% on Close Vote,” Washington Post, September 19, 1979, p. A1.

10. See, D.E. Lindsey, A. Orphanides, and R.H. Rasche, “The Reform of October 1979: How it Happened and Why,” Federal Reserve Bank of St. Louis Reivew, 87(2), Part 2,March/April 2005, pp 195-6.

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李지지율 35.2% 2주연속 하락…국힘 41% 민주 35% [서울=뉴스핌] 박찬제 기자 = 이재명 대통령의 국정 수행 지지도가 2주 연속 하락해 35.2%를 기록했다는 여론조사가 12일 발표됐다. 리얼미터가 아시아경제 의뢰로 지난 6∼8일 전국 18세 이상 1504명을 대상으로 조사한 결과, 이 대통령의 국정수행에 대한 긍정평가는 지난주보다 2.2%포인트(p) 내린 35.2%였다. 부정평가는 61.4%로 전주 대비 1.6%p 올랐다. '잘 모름'은 3.4%였다. 리얼미터는 "조희대 대법원장과의 사법부 독립성 논란과 비무장지대(DMZ) 지뢰 폭발에 따른 여야 안보 공방, 수도권 전월세·아파트값 상승세 등 인사·안보·부동산 악재가 국정감사 이슈로 집중되면서 지지율 하락을 이끈 것으로 보인다"고 분석했다. 이재명 대통령이 6일 청와대 본관에서 43회 국무회의를 주재하고 있다. 2026.10.06 [사진=청와대] 이 대통령 지지율을 연령대별로 살펴보면 각각 3.1%p, 2.1%p 오른 20대(27.3%)와 30대(31.3%)를 제외한 전 연령대에서 하락세가 나타났다. 지난 7∼8일 전국 18세 이상 유권자 1004명을 대상으로 한 정당 지지도 조사에서 더불어민주당은 35.7%, 국민의힘은 41.3%를 각각 기록했다. 민주당은 지난 조사 대비 7.0%p 떨어졌고, 국민의힘은 2.9%p 오르면서 지지율이 역전됐다. 다만 양당 간 격차는 5.8%p로 여전히 오차범위(±3.1%p) 내다. 리얼미터는 민주당 지지율에 대해 "조 대법원장의 법사위 충돌 및 탄핵 추진 논란, 수사권 개편을 둘러싼 조국혁신당과의 갈등, 수도권 부동산 전월세 불안 등 악재가 겹치면서 진보층과 40대를 중심으로 지지층이 이탈해 상당 폭 하락한 것으로 풀이된다"고 설명했다. 리얼미터는 국민의힘에 대해서는 "국정감사 초반 DMZ 지뢰 폭발 사태 등 안보 이슈와 조 대법원장 증언 채택 및 탄핵 공방 등을 통해 대여 공세를 강화한 데다 농지 전수조사·대미투자 등 정부 정책 논란까지 겹치면서 정부·여당에 대한 비판 여론의 반사이익을 얻어 지지율이 상승한 것으로 보인다"고 분석했다. 조국혁신당은 지난주보다 1.1%p 오른 6.3%를 기록했다. 개혁신당은 2.8%, 진보당은 1.2%다. 기타 정당은 1.8%, 무당층은 11.0%로 조사됐다. 대통령 국정수행 지지도 조사의 표본 오차는 95% 신뢰수준에 ±2.5%p, 응답률은 2.8%였다. 정당 지지도 조사의 표본오차는 95% 신뢰수준에 ±3.1%p, 응답률은 2.6%였다. 두 조사 모두 무선 100% 자동응답 방식으로 진행됐다. 자세한 내용은 중앙선거여론조사심의위원회 홈페이지를 참조하면 된다. pcjay@newspim.com 2026-10-12 10:10
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정의선 취임 6년, 로봇 상용화 눈앞 [서울=뉴스핌] 김기락 기자 = 정의선 현대자동차그룹 회장이 오는 14일 취임 6주년을 맞는 가운데 미래 성장동력으로 추진해 온 로봇 사업이 상용화를 향한 시험대에 올랐다. 현대차그룹은 2028년 미국 자동차 공장에 휴머노이드 로봇 '아틀라스(Atlas)'를 투입하고 연간 3만대 규모의 생산능력을 확보할 계획이다. 자동차 제조를 넘어 로봇과 인공지능(AI)을 결합한 피지컬 AI 기업으로 사업 영역을 넓히겠다는 전략이다. 관건은 수익성이다. 보스턴다이내믹스는 2021년 현대차그룹에 인수된 이후 지난해까지 약 1조7000억원의 누적 손실을 기록했다. 로봇 상용화 기대에 기업가치가 높아지고 있지만 실제 투자금 회수와 자동차 생산성 개선으로 이어지는지는 아직 검증되지 않았다. 특히 보스턴다이내믹스의 지분이 정 회장 개인과 현대차·기아 등 여러 주체에 나뉘어 있어 로봇 사업의 성장과 현대차 주주가 얻는 경제적 이익을 구분해 평가해야 한다는 지적이 나온다. [인포그래픽=챗GPT] 2026.10.12  ◆ 그룹의 로봇 가치, 현대차 주주 몫과는 다르다 12일 자동차 업계에 따르면 현대차그룹의 로봇 전략은 보스턴다이내믹스를 중심으로 구체화하고 있다. 정 회장 취임 직후인 2020년 12월 인수를 결정한 뒤 2021년 6월 지배지분 80% 인수를 마무리했다. 당시 정 회장도 개인 자금을 투입해 지분 20%를 확보했다. 이후 추가 출자 등을 거치며 지분 구조가 달라졌다. 지난 7월 잔여 지분 인수 추진 당시 보스턴다이내믹스 지분은 HMG글로벌 56.4%, 정 회장 22.6%, 현대글로비스 11.25%, 소프트뱅크 9.65%로 보도됐다. HMG글로벌은 현대차와 기아, 현대모비스가 참여한 투자법인이다. HMG글로벌 지분은 현대차 49.5%, 기아 30.5%, 현대모비스 20%로 구성됐다. 이를 적용하면 당시 현대차의 HMG글로벌 경유 보스턴다이내믹스 간접 지분은 약 27.9%다. HMG글로벌이 보유한 지분 56.4%에 현대차의 출자 비율 49.5%를 곱한 수치다. 소프트뱅크 잔여 지분을 기존 보유 비율에 따라 배분하면 HMG글로벌 62.5%, 정 회장 25%, 현대글로비스 12.5%로 조정되는 구조다. 이 경우 현대차의 HMG글로벌 경유 간접 지분은 약 30.9%로 높아진다.  그룹이 보스턴다이내믹스 지분을 모두 확보하더라도 로봇 사업의 성과를 현대차가 독차지하는 것은 아니다. 정 회장과 기아·현대모비스·현대글로비스도 투자한 만큼 성과는 여러 주주에게 나뉜다. 현대차 주주에게 중요한 것은 '그룹의 로봇 기업'이라는 간판보다 현대차가 투입한 돈에 비해 얼마의 수익을 거둘 수 있느냐다. ◆ 로봇 팔아 버는 돈과 공장에서 아끼는 돈 현대차가 로봇 사업에서 기대하는 효과는 크게 두 가지다. 보스턴다이내믹스가 외부 판매를 늘려 투자 가치를 높이는 것과 자동차 공장에 로봇을 투입해 생산비를 낮추는 것이다. 현대차와 기아·현대모비스 등 계열사에는 로봇의 기술력을 실제 생산 현장의 수익성 개선으로 연결하는 일이 핵심 과제다. 주주 입장에서도 로봇의 성능 못지않게 투자비를 얼마나 빨리 회수하고 생산비를 얼마나 줄일 수 있는지가 중요하다.  첫 번째는 로봇 기업의 성장이다. 외부 고객에게 로봇을 판매하고 유지보수·서비스 사업을 확대해 수익성을 높이면 투자 지분의 가치도 커질 수 있다. 그러나 기업가치 상승이 현대차의 현금 유입이나 배당 재원 증가를 뜻하지는 않는다. 실제 이익 귀속과 현금 회수는 지분 구조와 배당, 지분 매각 여부 등에 따라 달라진다. 현재는 성장 기대와 실적 사이의 간극도 크다. 로이터는 지난 9월 현대글로비스 공시를 인용해 보스턴다이내믹스가 지난해 5284억원의 손실을 냈으며, 2021~2025년 누적 손실은 약 1조7000억원에 달한다고 보도했다. 로봇 사업의 성장 기대와 별개로 대규모 손실이 이어지는 상황이다. 보스턴다이내믹스는 최근 아마존의 AI 사업을 이끌었던 로히트 프라사드를 최고경영자(CEO)로 영입했다. 기술 개발을 넘어 로봇 상용화와 수익 모델 구축으로 이어질지가 관심사다. 두 번째는 자동차 생산의 효율 개선이다. 이를 위해 보스턴다이내믹스는 지난달 21일(현지시간) 미국 조지아주 현대차그룹 메타플랜트 아메리카(HMGMA)에 '로보틱스 메타플랜트 응용 센터(RMAC)'를 열고 본격 운영에 들어갔다. 현대차그룹은 2028년 HMGMA에 아틀라스를 투입해 부품을 생산 순서에 맞춰 분류·배치하는 서열작업부터 맡길 계획이다. 2030년에는 부품 조립 등으로 적용 범위를 넓힌다. 이때 현대차가 얻는 효과는 로봇 판매 이익이 아니라 자동차를 만드는 과정에서 발생한다. 반복 작업을 안정적으로 수행하고 무거운 부품을 옮기는 부담을 줄이면 생산성과 작업 안전성을 높일 수 있다. 다만, 로봇 투입 자체를 비용 절감으로 단정하기는 어렵다. 도입 가격과 유지보수비, 생산라인 변경 비용을 고려한 뒤에도 작업시간 단축과 품질 개선 효과가 이를 웃돌아야 한다. 현대차 주주 관점에서는 로봇을 몇 대 배치했는지보다 차량 한 대당 생산비와 공정 가동률이 얼마나 개선되는지가 중요하다. 지난해 3월 정의선 현대차그룹 회장이 미국 조지아주 소재의 현대차그룹 메타플랜트 아메리카(HMGMA) 준공식에서 언론과 인터뷰하고 있는 모습. [사진=현대차그룹] ◆ 3만대 생산능력보다 중요한 '투자 회수' 현대차그룹은 2028년까지 연간 3만대 규모의 로봇 생산능력을 확보할 계획이다. 생산능력은 실제 생산량이나 판매량과 다르다. 규모의 경제를 통해 원가 경쟁력을 확보하려면 그룹 내부 수요뿐 아니라 외부 고객의 구매도 뒷받침돼야 한다. 정 회장의 로봇 전략은 자동차 제조 역량을 새로운 사업으로 확장한다는 점에서 의미가 있다. 현대차그룹은 생산시설과 제조 데이터, 현대모비스의 부품 기술, 현대글로비스의 물류 역량을 결합해 로봇 사업을 키우고 있다. 자동차 공장은 로봇의 실제 작업 능력을 검증하는 현장이자, 초기 수요처가 될 수 있다. 다만, 그룹 차원의 사업 확장과 현대차의 주주가치는 별도로 평가해야 한다. 정 회장의 개인 투자 성과, 다른 계열사의 부품·물류 사업 기회, 현대차의 생산성 개선을 한데 묶으면 현대차 주주에게 돌아갈 몫이 불분명해질 가능성을 배제할 수 없기 때문이다. 취임 6년을 맞은 정 회장의 승부수는 로봇 기업 인수와 기술 시연을 넘어, 생산 현장의 검증과 양산을 준비하는 단계로 접어들었다. 앞으로는 로봇의 성능뿐 아니라 추가 투자 규모와 차량 한 대당 생산비 절감액, 투자금 회수 기간이 로봇 전략의 주주가치를 가늠할 지표가 될 전망이다.  peoplekim@newspim.com 2026-10-12 13:42
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