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SAP employees’ trust in leadership has diminished since the restructuring

SAP’s restructuring may have been good for its bottom line, but behind the scenes, it has backfired.

The company did what it promised, said Greyhound Research chief analyst Sanchit Vir Gogia: It wrapped up its restructuring plan, affecting 10,000 employees, by early 2025, kept headcount steady, and delivered strong financial results. But, he said, β€œNumbers only tell half the story. Inside the organization, something broke.”

That’s evidenced by a recent internal survey, which revealed that many staff no longer trust company leaders or their strategy.

Trust in SAP’s executive board has fallen by six percentage points since April, to a mere 59%, Chief People Officer Gina Vargiu-Breuer wrote in an internal email seen by Bloomberg. In April 2021, that number was more than 80%, said Bloomberg, citing a local media report.

Confidence in SAP’s execution of its strategy has now dropped to 70%, from 77% in April of this year.

No time to learn

β€œThat number drops even further in Germany, where only 38% say they fully trust leadership,” Gogia said. β€œAnd it’s not just a sentiment dip. Over 38,000 employees voiced specific concerns. The pattern is clear: confusion around new performance goals, not enough support to implement AI, unstable team dynamics, and barely any breathing room to learn.”

This isn’t resistance to change: β€œPeople get the vision,” he said. β€œThe problem is executional load. You cannot drive large-scale transformation, especially AI-first initiatives, without building systems that carry your people with you.”

As part of SAP’s plan to transform into a skills-led company by 2028, 80% of employees were to be assigned to modernized job profiles by the middle of this year, SAP chief people officer Gina Vargiu-Breuer told financial analysts attending a company event in May. This was intended to β€œunleash AI-personalized growth opportunities” based on an β€œexternally benchmarked global skills taxonomy” of 1,500 future-ready skills, she said. The company devotes 15% of working time to continuous personal development, she said.

In the recent email seen by Bloomberg, however, she admitted: β€œThe feedback shows that not every step [in the transformation] has landed how it should.”

Unfiltered Pulse

In an email statement to CIO, SAP said that the Unfiltered Pulse survey that highlighted the issues β€œwas designed to gather nuanced feedback from employees, focusing on both strengths and areas for improvement. Employees, for instance, have stated that helpful feedback as well as learning and development opportunities are supporting their growth. Results related to team culture are also positive worldwide.”

SAP said 84% of its more than 100,000 employees responded to the most recent of the surveys, conducted every six months, and while there were some positives this time, β€œthe findings also clearly indicate that employee engagement and trust in the board require attention. Following increases in sentiment in the previous iteration, there has been a decrease in the recent Pulse survey. We greatly value this feedback and are taking targeted action in response. We are therefore implementing specific measures to address the input from our employees and to drive meaningful change.”

SAP has not revealed details of these measures.

However, Info-Tech Research Group senior advisory analyst Yaz Palanichamy said, β€œSAP employees feel a sense of disillusionment as a result of the efforts undertaken in supporting this restructuring program.”

While SAP had framed the initiative as a strategic pivot towards embracing scalable cloud and AI growth, he said, the sheer number of roles affected, and the way that number ballooned well beyond the original target of 8,000, has left many of SAP’s employees concerned about their jobs and about senior leadership.

They worry about organizational stability and clarity, and about whether there is adequate support for their reskilling, he said: β€œIf the cultural and operational gaps concerning morale, talent retention, and organizational role alignment are not proactively addressed, this could severely hinder SAP’s growth ambitions [in cloud and AI].”

SAP is not alone

SAP isn’t the only company that has faced these issues, Gogia pointed out. β€œLook beyond SAP, and the same symptoms show up elsewhere. Salesforce saw trust scores crater after its 2023 layoffs. Oracle’s morale took a hit when staff felt shut out of decisions. But SAP’s case stands out because performance at the top was solid, yet employee confidence eroded underneath. That divergence is dangerous. When momentum at the surface isn’t backed by alignment at the core, cracks appear in delivery, consistency breaks down, and partners feel the wobble. Execution doesn’t fail all at once. It frays. Quietly. Progressively.”

SAP isn’t ignoring the issues, he noted. It has begun to take action, appointing leaders, communicating priorities, and revisiting how teams are measured.

β€œThat’s good,” he said. β€œBut the real fix will come not from announcements but from behavioral evidence. Trust comes back when people stop guessing what’s next, when systems stabilize, when leaders stay visible, when workloads balance out.”

인프라 경쟁 μ‹¬ν™”λ˜λŠ”λ°β€¦MS 데이터센터 핡심 μž„μ› 2λͺ…은 β€˜ν‡΄μ‚¬β€™

λ§ˆμ΄ν¬λ‘œμ†Œν”„νŠΈ(MS)κ°€ μ½”νŒŒμΌλŸΏ(Copilot)κ³Ό μ• μ €(Azure) AI μ„œλΉ„μŠ€μ˜ μš©λŸ‰ ν™•λŒ€μ— 속도λ₯Ό λ‚΄λŠ” κ°€μš΄λ°, 데이터센터와 AI 인프라 λΆ„μ•Όμ˜ μ‹œλ‹ˆμ–΄ 리더 2λͺ…이 νšŒμ‚¬λ₯Ό λ– λ‚œ κ²ƒμœΌλ‘œ λ‚˜νƒ€λ‚¬λ‹€. 이에 μ „λ ₯ 집약적 AI μ›Œν¬λ‘œλ“œ μˆ˜μš”λ₯Ό μ–΄λ–€ 인물이 κ°λ‹Ήν•˜κ²Œ 될지에 λŒ€ν•œ μš°λ €κ°€ 제기되고 μžˆλ‹€.

MSλ₯Ό λ– λ‚œ 2λͺ…은 AI 인프라 총괄 λ‹ˆλ”” 차펠과 μ—λ„ˆμ§€Β·λ°μ΄ν„°μ„Όν„° 연ꡬλ₯Ό λ§‘μ•„μ˜¨ μ‹œλ‹ˆμ–΄ λ””λ ‰ν„° μ…˜ μ œμž„μŠ€λ‹€. MSμ—μ„œ 6λ…„ 반 λ™μ•ˆ κ·Όλ¬΄ν•œ μ°¨νŽ μ€ MS, μ˜€ν”ˆAI, μ•€νŠΈλ‘œν”½μ˜ μ›Œν¬λ‘œλ“œλ₯Ό μ§€μ›ν•˜λŠ” 세계 μ΅œλŒ€ 규λͺ¨μ˜ AI GPU ν΄λŸ¬μŠ€ν„° ꡬ좕을 μ΄κ΄„ν–ˆλ‹€. μ œμž„μŠ€μ˜ 경우 이후 μ—”λΉ„λ””μ•„λ‘œ 이직할 μ˜ˆμ •μΈ κ²ƒμœΌλ‘œ μ•Œλ €μ‘Œλ‹€.

μ‹œλ‹ˆμ–΄ λ¦¬λ”μ˜ 연이은 ν‡΄μ‚¬λŠ” MSκ°€ κΈ°μ—… μ „λ°˜μ—μ„œ κΈ‰μ¦ν•˜λŠ” AI μ‚¬μš©λŸ‰μ— λŒ€μ‘ν•˜κΈ° μœ„ν•΄ μ‹ κ·œ 데이터센터 λΆ€μ§€ 확보, μ „λ ₯ 곡급 계약, λ§žμΆ€ν˜• ν•˜λ“œμ›¨μ–΄ κ°œλ°œμ— λŒ€κ·œλͺ¨ 투자λ₯Ό 이어가고 μžˆλŠ” μ‹œμ μ— λ°œμƒν–ˆλ‹€.

두 μ‚¬λžŒμ€ λͺ¨λ‘ MS의 AI 인프라 ν™•μž₯ μ „λž΅μ„ 이끌던 핡심 인λ ₯μ΄μ—ˆλ‹€. λ™μ‹œμ— MSλŠ” λ‹€λ₯Έ ν΄λΌμš°λ“œ 업체와 λ§ˆμ°¬κ°€μ§€λ‘œ μ „λ ₯ 곡급 λΆ€μ‘±, μ „λ ₯망 μ—°κ²° μ§€μ—°, AI ν™•μž₯을 λ’·λ°›μΉ¨ν•  가속기 확보 λ‚œν•­ λ“± 볡합적인 인프라 μ œμ•½μ— λΆ€λ”ͺ히고 μžˆλ‹€.

이와 κ΄€λ ¨ν•΄ MS AI λΆ€λ¬Έ CEO λ¬΄μŠ€νƒ€νŒŒ μˆ λž˜μ΄λ§Œμ€ X에 β€œμ‹ κ·œ 데이터센터 건섀에 1,500만 노동 μ‹œκ°„μ„ νˆ¬μž…ν–ˆλ‹€β€λΌκ³  κ²Œμž¬ν–ˆλ‹€. 이에 ν…ŒμŠ¬λΌ CEO 일둠 λ¨ΈμŠ€ν¬λŠ” β€œκ·Έ 방식이 κ³Όμ—° λ§žλŠ” 것이냐”라며 μ˜λ¬Έμ„ μ œκΈ°ν–ˆλ‹€.

MSκ°€ μ§λ©΄ν•œ μ œμ•½

업계 뢄석가듀은 핡심 μž„μ› 2λͺ…μ˜ 연쇄 μ΄νƒˆμ΄ AI 데이터센터 경쟁이 ν•œμΈ΅ μΉ˜μ—΄ν•΄μ§„ μ‹œμ μ—μ„œ MS에 적지 μ•Šμ€ 뢀담을 쀄 것이라고 λ΄€λ‹€. μ˜€ν”ˆAI의 κ±°λŒ€ λͺ¨λΈ μˆ˜μš”κ°€ λΉ λ₯΄κ²Œ 늘고, ꡬ글이 인프라 규λͺ¨λ₯Ό 곡격적으둜 ν™•μž₯ν•˜λŠ” λ“± MSκ°€ μ–‘μͺ½μ—μ„œ 압박을 λ°›κ³  있기 λ•Œλ¬Έμ΄λ‹€.

μΉ΄μš΄ν„°ν¬μΈνŠΈλ¦¬μ„œμΉ˜μ˜ νŒŒνŠΈλ„ˆ κ²Έ 곡동 μ„€λ¦½μž 닐 μƒ€λŠ” β€œμ΄ 문제λ₯Ό ν•΄κ²°ν•΄ 온 졜고 μˆ˜μ€€μ˜ 전문가듀을 μžƒμ€ 것은 MS에 λΆ„λͺ…ν•œ 타격이 될 수 μžˆλ‹€. μ—λ„ˆμ§€ 과제λ₯Ό ν•΄κ²°ν•˜λŠ” 일은 κ²°μ½” λ‹¨μˆœν•˜μ§€ μ•ŠμœΌλ©°, 두 μ‚¬λžŒμ΄ 더 큰 영ν–₯λ ₯을 행사할 수 있고 보상 μΈ‘λ©΄μ—μ„œ μœ λ¦¬ν•œ μ—”λΉ„λ””μ•„ 같은 κ³³μ—μ„œ 기회λ₯Ό 봀을 κ°€λŠ₯성도 μžˆλ‹€β€λΌκ³  λΆ„μ„ν–ˆλ‹€.

ν•œνŽΈ μ‚¬μ΄λ²„λ―Έλ””μ–΄λ¦¬μ„œμΉ˜ μ‚°μ—… 연ꡬ λΆ€λ¬Έ VP 프라뢀 λžŒμ€ MSκ°€ μ—¬μ „νžˆ AI 데이터센터 투자λ₯Ό ν™•λŒ€ν•΄ λ‚˜κ°ˆ 수 μžˆλŠ” μƒνƒœκ³„μ™€ 쑰직적 μ—­λŸ‰μ„ λ³΄μœ ν•˜κ³  μžˆλ‹€κ³  ν‰κ°€ν–ˆλ‹€.

κ·Έλ ˆμ΄ν•˜μš΄λ“œ λ¦¬μ„œμΉ˜μ˜ μˆ˜μ„ μ• λ„λ¦¬μŠ€νŠΈ μ‚°μΉ˜νŠΈ λΉ„λ₯΄ κ³ κΈ°μ•„λŠ” MSκ°€ 물리적 ν•œκ³„λ³΄λ‹€ 더 λΉ λ₯Έ μ†λ„λ‘œ AI 인프라λ₯Ό ν™•λŒ€ν•˜λ €λŠ” μƒν™©μ—μ„œ 핡심 인λ ₯이 λ– λ‚œ 것이라고 μ„€λͺ…ν–ˆλ‹€.

κ·ΈλŠ” β€œλ– λ‚œ μž„μ›λ“€μ€ GPU ν΄λŸ¬μŠ€ν„° 섀계, 데이터센터 μ—”μ§€λ‹ˆμ–΄λ§, μ „λ ₯ 쑰달, 그리고 MSκ°€ 고밀도 AI μ›Œν¬λ‘œλ“œλ₯Ό μ§€μ›ν•˜κΈ° μœ„ν•΄ μΆ”μ§„ν•΄ 온 μ‹€ν—˜μ  μ „λ ₯·냉각 λ°©μ‹μ˜ 핡심을 λ§‘μ•„μ˜¨ 인물듀”이라고 λ§ν–ˆλ‹€. 이어 β€œMSκ°€ 이미 곡개적으둜 μΈμ •ν•œ, 인프라 압박이 μ‹¬ν™”λ˜λŠ” 지점과 μ‹œκΈ°κ°€ 맞물렀 μžˆλ‹€. GPUλŠ” λΉ λ₯΄κ²Œ λ„μž…λ˜κ³  μžˆμ§€λ§Œ 이λ₯Ό μˆ˜μš©ν•  데이터센터에 μ „λ ₯을 κ³΅κΈ‰ν•˜λŠ” μž‘μ—…μ΄ 따라가지 λͺ»ν•˜κ³  있으며, μ΄μ œλŠ” μΉ© μˆ˜κΈ‰λ³΄λ‹€ μ „λ ₯ κ°€μš©μ„±μ΄ 더 큰 병λͺ©μœΌλ‘œ λΆ€μƒν–ˆλ‹€β€λΌκ³  μ„€λͺ…ν–ˆλ‹€.

μ—”λΉ„λ””μ•„κ°€ μ–»κ²Œ 될 이점

반면 μƒ€λŠ” μ œμž„μŠ€μ˜ μ—”λΉ„λ””μ•„ ν•©λ₯˜κ°€ μ€‘μš”ν•œ μ‹ ν˜ΈλΌκ³  ν•΄μ„ν–ˆλ‹€. 이제 영ν–₯λ ₯ μžˆλŠ” ν˜μ‹ μ΄ νŠΉμ • ν΄λΌμš°λ“œ 업체가 μ•„λ‹ˆλΌ 벀더 μƒνƒœκ³„μ—μ„œ λ‚˜μ˜¬ κ°€λŠ₯성이 μ»€μ‘Œλ‹€λŠ” μ„€λͺ…이닀.

μƒ€λŠ” β€œμ—”λΉ„λ””μ•„κ°€ 더 효율적인 μ»΄ν“¨νŠΈ-투-λž™(Compute-to-Rack) 섀계λ₯Ό 톡해 μ—…κ³„μ˜ μ—λ„ˆμ§€ μ œμ•½μ„ μ™„ν™”ν•  수 μžˆλ‹€λ©΄, κ·Έ νš¨κ³ΌλŠ” κΈ°μ—… μ‹œμž₯ μ „λ°˜μœΌλ‘œ 확산될 것”이라고 λ§ν–ˆλ‹€.

κ³ κΈ°μ•„λŠ” 이번 퇴사가 AI 인프라 κ²½μŸμ—μ„œ μ—λ„ˆμ§€ μ‹œμŠ€ν…œκ³Ό 데이터센터 효율이 핡심 μš”μ†Œλ‘œ λ– μ˜¬λžλ‹€λŠ” 점도 보여쀀닀고 λΆ„μ„ν–ˆλ‹€. κ·ΈλŠ” β€œMS의 μ „λ ₯·냉각 문제λ₯Ό ν•΄κ²°ν•΄ 온 μ „λ¬Έκ°€κ°€ 엔비디아에 ν•©λ₯˜ν•˜λ©΄, μ΄ˆλŒ€κ·œλͺ¨ AI ν™˜κ²½μ΄ μ‹€μ œ 높은 λΆ€ν•˜μ—μ„œ μ–΄λ–»κ²Œ μž‘λ™ν•˜λŠ”μ§€ μ—”λΉ„λ””μ•„κ°€ 더 깊이 νŒŒμ•…ν•˜κ²Œ λœλ‹€β€λΌκ³  λ§ν–ˆλ‹€. 이어 β€œμ΄λŸ° κ²½ν—˜μ€ μ°¨μ„ΈλŒ€ GPU μ‹œμŠ€ν…œμ˜ ꡬ쑰, μ—΄ 관리, 그리고 μ°¨μ„ΈλŒ€ AI νŒ©ν† λ¦¬μ˜ μ—λ„ˆμ§€ 섀계 방식에도 영ν–₯을 미치게 될 것”이라고 μ§„λ‹¨ν–ˆλ‹€.
dl-ciokorea@foundryco.com

HP, μ΅œλŒ€ 6,000λͺ… 감원 μ˜ˆκ³ Β·Β·Β·μ›μΈμ€ β€œAI μ „ν™˜κ³Ό λΆ€ν’ˆ 가격 μƒμŠΉβ€

HPκ°€ 2028λ…„κΉŒμ§€ 4,000λͺ…μ—μ„œ 6,000λͺ… 규λͺ¨μ˜ 인λ ₯을 감좕할 κ³„νšμ΄λΌκ³  λ°ν˜”λ‹€. HPλŠ” 10μ–΅ λ‹¬λŸ¬ μ ˆκ°μ„ λͺ©ν‘œλ‘œ ν•œ AI μ „ν™˜ μ „λž΅μ˜ μΌν™˜μ΄λΌκ³  μ„€λͺ…ν–ˆλ‹€.

HP CEO 엔리케 λ‘œλ ˆμŠ€λŠ” μ§€λ‚œ 25일 μ§„ν–‰λœ 싀적 λ°œν‘œ ν›„ μ»¨νΌλŸ°μŠ€μ½œμ—μ„œ 이번 감원이 μ œν’ˆ 개발, λ‚΄λΆ€ 운영, 고객 지원 λΆ€μ„œλ₯Ό μ€‘μ‹¬μœΌλ‘œ μ΄λ€„μ§ˆ 것이라고 μ–ΈκΈ‰ν–ˆλ‹€. HPλŠ” ꡬ쑰쑰정 λΉ„μš©μ΄ μ•½ 6μ–΅ 5,000만 λ‹¬λŸ¬μ— 이λ₯Ό κ²ƒμœΌλ‘œ μ˜ˆμƒν•˜λ©°, 이 κ°€μš΄λ° 2μ–΅ 5,000만 λ‹¬λŸ¬κ°€ 2026 νšŒκ³„μ—°λ„μ— 반영될 것이라고 λ°ν˜”λ‹€.

λ‘œλ ˆμŠ€λŠ” μ»¨νΌλŸ°μŠ€μ½œμ—μ„œ β€œμ΄λ²ˆ 쑰치λ₯Ό 톡해 3년에 걸쳐 10μ–΅ λ‹¬λŸ¬ 규λͺ¨μ˜ μ—°κ°„ λΉ„μš© 절감 νš¨κ³Όκ°€ λ°œμƒν•  κ²ƒμœΌλ‘œ μ˜ˆμƒν•œλ‹€. νšŒμ‚¬κ°€ 경쟁λ ₯을 μœ μ§€ν•˜κΈ° μœ„ν•΄ λ°˜λ“œμ‹œ ν•„μš”ν•œ 일”이라고 λ§ν–ˆλ‹€.

HPλŠ” 이번 감원을 AI 기반으둜 λΉ„μ¦ˆλ‹ˆμŠ€ ν”„λ‘œμ„ΈμŠ€λ₯Ό μž¬μ„€κ³„ν•˜κΈ° μœ„ν•œ ν•„μˆ˜ 쑰치둜 κ·œμ •ν–ˆλ‹€. νšŒμ‚¬λŠ” μ§€λ‚œ 2λ…„κ°„ μ œν’ˆ 개발, 고객 μ„œλΉ„μŠ€, 운영 ν”„λ‘œμ„ΈμŠ€ μ „λ°˜μ—μ„œ AI ν™œμš©μ„ μ‹œλ²” μ μš©ν•΄ μ™”μœΌλ©°, 이제 μ „μ‚¬λ‘œ ν™•λŒ€ν•˜λŠ” 단계에 λ“€μ–΄μ„°λ‹€κ³  μ–ΈκΈ‰ν–ˆλ‹€.

λ‘œλ ˆμŠ€λŠ” β€œμš°λ¦¬κ°€ ν™•μΈν•œ 것은 ν”„λ‘œμ„ΈμŠ€ μž¬μ„€κ³„λΆ€ν„° μ‹œμž‘ν•΄μ•Ό ν•œλ‹€λŠ” 점이닀. AI, 특히 에이전틱 AIλ₯Ό ν™œμš©ν•΄ ν”„λ‘œμ„ΈμŠ€λ₯Ό μž¬κ΅¬μ„±ν•˜λ©΄ μƒλ‹Ήν•œ 효과λ₯Ό κ±°λ‘˜ κ²ƒμœΌλ‘œ 보인닀”라고 λ§ν–ˆλ‹€.

HPλŠ” 절감될 10μ–΅ λ‹¬λŸ¬λ₯Ό μ œν’ˆ ν˜μ‹  가속에 20%, 고객 λ§Œμ‘±λ„ ν–₯상에 40%, 생산성 μ œκ³ μ— 40% λΉ„μœ¨λ‘œ λ°°λΆ„ν•  κ³„νšμ΄λΌκ³  μ„€λͺ…ν–ˆλ‹€.

λΆ„μ„κ°€λŠ” 의문 제기

HPλŠ” 이번 쑰치λ₯Ό AI ν™œμš©μ„ μœ„ν•œ μ „ν™˜μ΄λΌκ³  μ„€λͺ…ν–ˆμ§€λ§Œ, 일뢀 λΆ„μ„κ°€λŠ” μ‹€μ œ 감원이 AI의 생산성 ν–₯상 λ•Œλ¬ΈμΈμ§€, μ•„λ‹ˆλ©΄ 전톡적인 λΉ„μš© 압박에 λ”°λ₯Έ μ‘°μΉ˜μΈμ§€μ— λŒ€ν•΄ μ˜λ¬Έμ„ μ œμ‹œν–ˆλ‹€.

κ·Έλ ˆμ΄ν•˜μš΄λ“œλ¦¬μ„œμΉ˜μ˜ μ΅œκ³ μ• λ„λ¦¬μŠ€νŠΈ μ‚°μΉ˜νŠΈ λΉ„λ₯΄ κ³ κΈ°μ•„λŠ” β€œHP의 직원 감좕은 단기적인 AI ν™œμš© νš¨κ³Όλ³΄λ‹€λŠ” λΉ„μš© ν†΅μ œ λͺ©μ μ΄ 더 크게 μž‘μš©ν•œ κ²ƒμœΌλ‘œ 보인닀”라며, β€œνšŒμ‚¬λŠ” 이번 쑰치λ₯Ό AI μ „ν™˜ μ „λž΅μ˜ μΌν™˜μœΌλ‘œ μ„€λͺ…ν–ˆμ§€λ§Œ, PC μˆ˜μš” λ‘”ν™”, λΆ€ν’ˆ 가격 κΈ‰λ“±, μ£Όμš” 사업 λΆ€λ¬Έμ˜ λ§ˆμ§„ μ••λ°• λ“± 금육 μ§€ν‘œλ₯Ό 보면 보닀 전톡적인 λΉ„μš© 절감 문제둜 ν•΄μ„λœλ‹€β€λΌκ³  λ§ν–ˆλ‹€.

이번 감원은 HPκ°€ μ˜¬ν•΄ 2μ›” 1,000λͺ…μ—μ„œ 2,000λͺ… 규λͺ¨μ˜ 인λ ₯을 쀄인 데 이어 μ§„ν–‰λ˜λŠ” μΆ”κ°€ μ‘°μΉ˜λ‹€. κ·Έ μ΄μ „μ—λŠ” 2022λ…„ 11μ›” μ‹œμž‘λœ β€˜ν“¨μ²˜ λ ˆλ”” νŠΈλžœμŠ€ν¬λ©”μ΄μ…˜(Future Ready Transformation)’ ν”„λ‘œκ·Έλž¨μ„ 톡해 총 9,400λͺ…이 영ν–₯을 λ°›μ•˜λ‹€. λˆ„μ λœ 감원 규λͺ¨κ°€ μ»€μ§€λ©΄μ„œ HP의 운영 연속성에 λŒ€ν•œ μš°λ €λ„ 제기되고 μžˆλ‹€.

μ„œλΉ„μŠ€ 및 가격 λΆˆν™•μ‹€μ„± 직면

ν•˜λ“œμ›¨μ–΄ ꡐ체λ₯Ό κ³„νšν•˜κ±°λ‚˜ 벀더 관계λ₯Ό κ΄€λ¦¬ν•˜λŠ” CIO μž…μž₯μ—μ„œλŠ” 이번 ꡬ쑰쑰정이 μ„œλΉ„μŠ€ μˆ˜μ€€κ³Ό 납기일에 μ–΄λ–€ 영ν–₯을 λ―ΈμΉ μ§€ μš°λ €ν•  λ§Œν•˜λ‹€. 여기에 λ©”λͺ¨λ¦¬ 가격 μƒμŠΉ μ••λ°•κΉŒμ§€ λ”ν•΄μ§€λ©΄μ„œ ν–₯ν›„ μ œν’ˆ 가격 인상이 λΆˆκ°€ν”Όν•˜λ‹€λŠ” μ‹ ν˜Έλ„ λ‚˜μ˜€κ³  μžˆλ‹€.

κ³ κΈ°μ•„λŠ” HP와 μœ μ‚¬ν•œ ꡬ쑰쑰정을 μ§„ν–‰ 쀑인 μ—¬λŸ¬ λ²€λ”μ—μ„œ 이미 μš΄μ˜μƒμ˜ λ¬Έμ œκ°€ λ“œλŸ¬λ‚˜κ³  μžˆλ‹€κ³  μ§€μ ν–ˆλ‹€. λ˜ν•œ κ·ΈλŠ” β€œμΌλΆ€ HP 고객은 μ§€μ—­ 지원 쑰직이 재편된 이후 보증 수리 처리 속도가 λŠ¦μ–΄μ§€κ³ , 재고 정보 μ—…λ°μ΄νŠΈλ„ μ˜ˆμΈ‘ν•˜κΈ° μ–΄λ ΅λ‹€λŠ” λΆˆλ§Œμ„ μ œκΈ°ν•˜κ³  μžˆλ‹€β€λΌκ³  λ§ν–ˆλ‹€.

κ³ κΈ°μ•„λŠ” β€œCIOλŠ” 계정 κ΄€λ¦¬νŒ€κ³Ό 직접 λ…Όμ˜ν•΄ μ–΄λ–€ λ³€ν™”κ°€ μ§„ν–‰λ˜κ³  μžˆλŠ”μ§€ νŒŒμ•…ν•˜κ³ , λˆ„κ°€ μ–΄λ–€ μ˜μ—­μ˜ 전달 μ±…μž„μ„ λ§‘λŠ”μ§€ λͺ…ν™•νžˆ ν•΄μ•Ό ν•œλ‹€. λ˜ν•œ ꡬ쑰쑰정 이전에 체결된 μ§€μ›Β·μ„œλΉ„μŠ€ 계약이 μžˆλ‹€λ©΄ 이λ₯Ό λ‹€μ‹œ κ²€ν† ν•  ν•„μš”κ°€ μžˆλ‹€β€λΌκ³  μ‘°μ–Έν–ˆλ‹€.

λΉ„μš© μΈ‘λ©΄μ—μ„œλ„ HPλŠ” λ©”λͺ¨λ¦¬ μΉ© 가격 μƒμŠΉμ΄ 2026 νšŒκ³„μ—°λ„ ν•˜λ°˜κΈ° μˆ˜μ΅μ„±μ— 영ν–₯을 쀄 것이라고 κ²½κ³ ν–ˆλ‹€. μ™„ν™” 쑰치λ₯Ό μ μš©ν•˜λ”λΌλ„ μ£Όλ‹Ή 0.30λ‹¬λŸ¬ 규λͺ¨μ˜ 좩격이 λΆˆκ°€ν”Όν•  κ²ƒμœΌλ‘œ μ˜ˆμƒν–ˆλ‹€.

HPλŠ” μ΄λŸ¬ν•œ 압박에 λŒ€μ‘ν•˜κΈ° μœ„ν•΄ κ³΅κΈ‰μ²˜ λ‹€λ³€ν™”, 일뢀 μ œν’ˆκ΅°μ˜ λ©”λͺ¨λ¦¬ ꡬ성 μΆ•μ†Œ, 가격 인상 등을 병행할 κ³„νšμ΄λ‹€. λ‘œλ ˆμŠ€λŠ” β€œν•˜λ°˜κΈ° κ°€μ΄λ˜μŠ€λ₯Ό 보수적으둜 μ œμ‹œν•˜λŠ” λ™μ‹œμ—, μ €κ°€ κ³΅κΈ‰μ²˜ 확보, λ©”λͺ¨λ¦¬ ꡬ성 μΆ•μ†Œ, 가격 μ‘°μ •κ³Ό 같은 적극적인 쑰치λ₯Ό μ‹œν–‰ν•˜κ³  μžˆλ‹€β€λΌκ³  μ„€λͺ…ν–ˆλ‹€.

λ‘œλ ˆμŠ€λŠ” λ˜ν•œ HPκ°€ 2026 νšŒκ³„μ—°λ„ μƒλ°˜κΈ°λ₯Ό μΆ©λ‹Ήν•  λ§Œν•œ 재고λ₯Ό ν™•λ³΄ν•˜κ³  μžˆμ§€λ§Œ, ν•˜λ°˜κΈ°μ—λŠ” μž¬κ³ κ°€ μ†Œμ§„λ˜λ©΄μ„œ ν˜„μž¬μ˜ 높은 λ©”λͺ¨λ¦¬ 가격이 생산 원가에 반영돼, λ§ˆμ§„ 압박이 μ‹¬ν•΄μ§ˆ κ²ƒμœΌλ‘œ μ „λ§ν–ˆλ‹€.

PC 및 μ„œλ²„ 벀더 μ „λ°˜μ˜ 흐름

PC와 μ„œλ²„ 벀더 μ „λ°˜μ΄ μœ μ‚¬ν•œ 압박을 λ°›λŠ” κ°€μš΄λ°, HP의 감원도 μ—…κ³„μ˜ μΆ”μ„Έλ₯Ό λ”°λ₯Έ κ²ƒμœΌλ‘œ λΆ„μ„λœλ‹€.

κ³ κΈ°μ•„λŠ” β€œHP, 델, λ ˆλ…Έλ²„, HPEμ—μ„œ 졜근 이어진 감원 μ‚¬λ‘€λŠ” 이듀 기업이 운영 방식을 μž₯기적으둜 λ³€ν™”ν•˜κ³  μžˆμŒμ„ 보여쀀닀. λ§Žμ€ 벀더가 λŒ€κ·œλͺ¨ 판맀 μ „λž΅, λ°©λŒ€ν•œ μ œν’ˆ 포트폴리였, 인λ ₯ μ€‘μ‹¬μ˜ 지원 λͺ¨λΈμ—μ„œ λ²—μ–΄λ‚˜, λ‹¨μˆœν™”λœ μ œν’ˆ ꡬ성, 쀑앙집쀑식 운영, AIΒ·μ„œλΉ„μŠ€Β·ν΄λΌμš°λ“œ 기반 ν”Œλž«νΌ 투자둜 μ΄λ™ν•˜κ³  μžˆλ‹€β€λΌκ³  μ„€λͺ…ν–ˆλ‹€.

κ·ΈλŠ” λ²€λ”μ˜ μ „ν™˜ κ³Όμ •μ—μ„œ κΈ°μ—… 고객이 μš΄μ˜μƒμ˜ λΆˆνŽΈμ„ κ²ͺ을 수 μžˆλ‹€κ³  μ§„λ‹¨ν•˜λ©΄μ„œ, β€œμ§€κΈˆ μ€‘μš”ν•œ 것은 μž₯κΈ° μ „λž΅λ§Œμ΄ μ•„λ‹ˆλΌ, μ „ν™˜κΈ° λ™μ•ˆ μ–Όλ§ˆλ‚˜ μ•ˆμ •μ μœΌλ‘œ μš΄μ˜μ„ μœ μ§€ν•  수 μžˆλŠ”κ°€λ‹€β€λΌκ³  λ§ν–ˆλ‹€.
dl-ciokorea@foundryco.com
 

Amazon’s Anthropic investment boosts its quarterly profits by $9.5B

Amazon just opened Project Rainier, one of the world’s largest AI compute clusters, in partnership with Anthropic.

Amazon’s third-quarter profits rose 38% to $21.2 billion, but a big part of the jump had nothing to do with its core businesses of selling goods or cloud services.

The company reported a $9.5 billion pre-tax gain from its investment in the AI startup Anthropic, which was included in Amazon’s non-operating income for the quarter.

The windfall wasn’t the result of a sale or cash transaction, but rather accounting rules. After Anthropic raised new funding in September at a $183 billion valuation, Amazon was required to revalue its equity stake to reflect the higher market price, a process known as a β€œmark-to-market” adjustment.

To put the $9.5 billion paper gain in perspective, the Amazon Web Services cloud business β€” historically Amazon’s primary profit engine β€” generated $11.4 billion in quarterly operating profits.

At the same time, Amazon is spending big on its AI infrastructure buildout for Anthropic and others. The company just opened an $11 billion AI data center complex, dubbed Project Rainier, where Anthropic’s Claude models run on hundreds of thousands of Amazon’s Trainium 2 chips.

Amazon is going head-to-head against Microsoft, which just re-upped its partnership with ChatGPT maker OpenAI; and Google, which reported record cloud revenue for its recent quarter, driven by AI. The AI infrastructure race is fueling a big surge in capital spending for all three cloud giants.

Amazon spent $35.1 billion on property and equipment in the third quarter, up 55% from a year earlier.

Andy Jassy, the Amazon CEO, sought to reassure Wall Street that the big outlay will be worth it.

β€œYou’re going to see us continue to be very aggressive investing in capacity, because we see the demand,” Jassy said on the company’s conference call. β€œAs fast as we’re adding capacity right now, we’re monetizing it. It’s still quite early, and represents an unusual opportunity for customers and AWS.”

The cash for new data centers doesn’t hit the bottom line immediately, but it comes into play as depreciation and amortization costs are recorded on the income statement over time.

And in that way, the spending is starting to impact on AWS results: sales rose 20% to $33 billion in the quarter, yet operating income increased only 9.6% to $11.4 billion. The gap indicates that Amazon’s heavy AI investments are compressing profit margins in the near term, even as the company bets on the infrastructure build-out to expand its business significantly over time.

Those investments are also weighing on cash generation: Amazon’s free cash flow dropped 69% over the past year to $14.8 billion, reflecting the massive outlays for data centers and infrastructure.

Amazon has invested and committedΒ a total of $8 billion in Anthropic, initially structured as convertible notes. A portion of that investment converted to equity with Anthropic’s prior funding round in March.

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