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Asolica > Blog > Business > Lenovo’s CIO says persistence is a advantage in AI investing, however the clock is ticking | Fortune
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Lenovo’s CIO says persistence is a advantage in AI investing, however the clock is ticking | Fortune

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Last updated: March 4, 2026 5:20 pm
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11 hours ago
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Lenovo’s CIO says persistence is a advantage in AI investing, however the clock is ticking | Fortune
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Whereas the generative synthetic intelligence increase is properly into its third yr at enterprises like personal-computer producer Lenovo, International Chief Info Officer Arthur Hu says he nonetheless believes that persistence stays a advantage. 

Contents
  • NEWS PACKETS
  • ADOPTION CURVE
  • JOBS RADAR

“There’s a bit longer grace period, because people recognize that we haven’t quite figured it out yet,” says Hu. “There’s more willingness to invest in Gen AI, even if the result will be rapid learning.” 

Many research align with Hu’s considering. Enterprises are spending extra on generative AI in 2026 than within the prior yr. CEOs are way more optimistic about producing a return on funding, whilst C-suite leaders acknowledge that the ROI time horizon for generative AI is longer than different expertise functions.

Lenovo and different PC makers have seen blended advantages from rising AI demand. AI PCs accounted for 31% of the entire world PC market globally by the top of 2025, based on analysis agency Gartner. This new expertise improve cycle provides Lenovo and different producers a recent alternative to pitch new {hardware}. In Lenovo’s fiscal third-quarter earnings, reported final month, complete income grew 18%, pushed by sturdy demand for AI-related merchandise. AI income elevated by 72% from the prior yr and now accounts for a 3rd of Lenovo’s complete enterprise.

However as massive corporations like OpenAI, Amazon, and Alphabet construct information facilities, demand for reminiscence chip manufacturing has surged, placing provide strain on shopper electronics. Gartner has warned that rising part prices will dampen gross sales for PCs and smartphones in 2026. 

Hu’s relationship with Lenovo started forward of the 2008 monetary disaster when he labored on initiatives for the corporate in China in his position as an affiliate principal at consulting large McKinsey. He joined when the China-based PC maker dreamed to get lots greater and change into a extra worldwide firm.

Greater than 20 years in the past, Lenovo acquired IBM’s PC division to get a firmer grip on the worldwide market. It later diversified into smartphones and infrastructure by buying Motorola Mobility from Google and IBM’s x86 server enterprise. Hu joined Lenovo in 2009 as a company transformation chief, enjoying a key position in a few of the integration after that dealmaking. He turned CIO in 2016.

“Each of these cases represented significant steps in the company operating model, and therefore the types of systems and infrastructure support we needed to run the company,” Hu says of his evolving position, which coincided with advances in AI and machine studying.

Hu says that by the mid-2010s, Lenovo was following an AI playbook that could possibly be replicated in the course of the present generative AI increase. The corporate dedicated to utilizing AI throughout the whole enterprise, beginning with smaller use circumstances, after which increasing throughout product growth, manufacturing, and different capabilities.

Even then, Hu says he needed to handle employee fears about job substitute. He tends to border Lenovo’s AI push round three key themes. The primary is that as a result of Lenovo’s enterprise is rising at double-digit charges, it may possibly launch and leverage inside AI productiveness instruments which will decelerate hiring, however aren’t meant to scale back complete headcount. Second, Hu stresses that workers aren’t anticipated to ship dramatic productiveness positive factors inside mere weeks or months. He understands change takes time.

And at last, Hu goals to minimize binary considering that each one work is both achieved by human or a machine. Reshuffling duties, Hu says, isn’t so easy. When working with software program engineers, Hu encourages them to not fixate on how a lot new code is being written by AI instruments, however as an alternative have a look at the fuller scope of their workloads.

“The rest of the time is understanding the legacy code base, talking to stakeholders, you have to understand the API, what does the business analyst say?” says Hu. “All this other stuff makes up the other 85% of the job.”

Throughout Lenovo right now, inside AI instruments which have been deployed embrace Microsoft Copilot, AI coding assistants for software program engineers, and AI-assisted conversational assist for customer support representatives. Broader instruments like Copilot usually require little coaching, however Hu says extra upskilling is required when rolling out extra specialised, function-specific instruments.

And Hu concedes that even with the longer-lead time for generative AI, boards and govt committees have been placing extra strain on technologists to speed up deployment and extract ROI. There may be solely a lot persistence, in spite of everything.

“That’s good and bad, it certainly pushes the pace,” says Hu. “People want to invest, but ultimately the economics have to work. Money isn’t free, as our CFO and finance community likes to remind us.”

John Kell

Ship ideas or ideas to CIO Intelligence right here.

NEWS PACKETS

Trump bans Anthropic and OpenAI swoops in. The messy fallout between Anthropic and the Pentagon continues, because the Trump administration ordered federal businesses and contractors that work with the navy to halt enterprise with the AI startup after it refused to carry some restrictions on how its expertise could possibly be used. Anthropic has already threatened to sue after being labeled a safety threat and rival OpenAI on Friday swooped in and inked a deal with the Pentagon for its AI instruments (and days later, amended the pact to tighten the language round utilizing AI for surveillance). There’s additionally some spillover already underway for the way the broader public is digesting these headlines as politics mixes with AI. Anthropic’s Claude overtook ChatGPT as the highest downloaded U.S. app over the weekend.

OpenAI raises one other $110 billion. Amazon, Nvidia, and SoftBank had been among the many massive traders that funneled tens of billions apiece into OpenAI, recent funding that values the AI startup at $730 billion. Amazon’s funding was of specific be aware because it was the primary time the tech large has put cash into OpenAI (prior backer Microsoft sat out this spherical) and on Friday, issued a separate announcement that the AI startup would purchase its AI chips and collaborate to develop custom-made fashions that might be obtainable for Amazon builders. Because the New York Occasions stories, the deal is one more instance of the AI business’s round financing, by which startups increase billions from tech giants after which use these funds to buy compute energy from the identical traders.

OpenAI additionally vows to replace security protocols after capturing in Canada. The Wall Road Journal stories that OpenAI instructed Canadian officers that the AI firm would reinforce its security protocols after a deadly capturing in British Columbia by which the capturing suspect’s use of ChatGPT had been internally flagged months earlier than the February 10 assault that left eight victims useless and dozens injured. OpenAI has acknowledged that the capturing suspect, Jesse Van Rootselaar, opened a second ChatGPT account after the primary was banned in June. Sooner or later, OpenAI mentioned the standards can be extra versatile for referring accounts to legislation enforcement businesses and would assist direct customers in misery to assist businesses, amongst different measures. The BBC stories that OpenAI CEO Sam Altman will meet this week with Canada’s AI Minister Evan Solomon to debate the protocols.

Was Block “AI washing” when it introduced deep job cuts? After Block, the funds firm that operates Sq. and Money App, final week disclosed it might reduce its workers by 40% and mentioned it may accomplish that as a result of AI was in a position to automate extra work duties, observers started to query this can be a traditional case of “AI washing.” Main enterprises, particularly in tech, have began to hyperlink layoffs to their AI effectivity investments and a few executives, together with JPMorgan Chase CEO Jamie Dimon, have warned that companies and governments want to begin getting ready for the disruption. Nonetheless, Goldman Sachs has estimated that AI was accountable for under 5,000 to 10,000 month-to-month web job losses final yr in essentially the most uncovered industries. EBay, which additionally introduced job cuts final week, provided a extra traditional rationale: the e-commerce large mentioned it wanted to shift assets to align with strategic priorities.

ADOPTION CURVE

Industrial AI is booming, however extra construction should be wanted. Industrial organizations are making actual inroads on actively deploying AI at scale (61% report they’ve achieved so right now), with a few of the most mature functions targeted on automated high quality inspection (70%), employee security monitoring and power optimization (each at 61%), and predictive upkeep (55%).

The new survey of greater than 1,000 expertise leaders throughout 21 industrial sectors, backed by Cisco, additionally discovered that almost all industrial organizations would enhance AI spending in 2026 (83%) and virtually 9 in ten projected they’ll see significant effectivity outcomes—boosting productiveness, decreasing prices, and bettering safety—inside two years.

However even amid all that optimism, industrial leaders say the highest boundaries they nonetheless discover themselves working by embrace cyber issues (40%), expertise integration challenges (36%), lack of expert expertise (34%), and price range constraints (25%).

Samuel Pasquier, Cisco’s industrial IoT networking product administration lead, tells Fortune that he believes the abilities hole is particularly difficult. “The mindset of the network is like the power—you plug it in, it works,” says Pasquier. “Well, you need to be a little bit more organized and a little bit more structured.” To attach the dots, he says it is important that corporations domesticate stronger collaboration between plant-level operational groups and IT’s networking and safety experience.

Courtesy of Cisco

JOBS RADAR

Hiring:

– Nationwide Life Group is looking for a chief expertise officer, based mostly in Montpelier, Vermont. Posted wage vary: $300K-$440K/yr.

– Saval Foodservice is looking for a chief digital officer, based mostly within the Washington-Baltimore Metro space. Posted wage: $200K/yr.

– Transdev North America is looking for a CIO, based mostly in Lombard, Illinois. Posted wage vary: $290K-$325K/yr.

– Harbor Well being Providers is looking for a CIO, based mostly in Boston. Posted wage vary: $186.2K-$291.2K/yr.

Employed:

– Heineken has appointed Romain Apert as chief digital and expertise officer and a member of the Dutch brewer’s govt group, efficient Could 15. Apert joins Heineken from Mars, the place he served as CIO of the meals large’s petcare enterprise. He labored at Mars for greater than 20 years and held varied CIO titles since 2012. Apert succeeds Ronald den Elzen, who final yr mentioned he would depart to pursue a brand new profession.

– Unilever promoted Reema Jain to function CIO, lower than a yr after she joined the patron items large as world VP of digital expertise. Previous to becoming a member of Unilever in Could 2025, Jain served as chief data and digital officer at motorbike and scooter maker Hero MotoCorp, chief digital officer at Indian telecommunications firm Vodafone Concept, and held expertise management roles at Unilever and GE.

– Hormel Meals introduced the appointment of Donald Monk as CTO, efficient March 23, in a newly created position. Monk will function the meals maker’s senior-most expertise chief because it prioritizes modernization of these platforms. Beforehand,  Monk spent greater than three many years at meals large Normal Mills, the place he served as CIO.

– Thor Industries promoted Ryan Biren to the position of CIO, a newly created govt workplace place on the leisure autos producer, overseeing IT, information, analytics, and the digital platform technique. Biren initially joined Thor in February 2024 as VP of company growth. He additionally beforehand served  as SVP at RV retailer Tenting World.

– Diebold Nixdorf introduced the appointment of Andy Zosel as chief product and expertise officer, a newly created position to unify the ATM producer’s product administration, engineering, R&D, software program and {hardware} innovation groups. Zosel beforehand served as SVP of clever automation for printer and barcode scanner maker Zebra Applied sciences.

– Victory Capital has appointed Molly Weiss as CTO and head of digital innovation, the place she’s going to lead the asset-management firm’s expertise infrastructure, AI framework, and information and analytics platform. Beforehand, Weiss served as group president of wealth platforms at software program supplier Envestnet Monetary Expertise.

– Digital Turbine named Ben John as CTO,  the place he’ll oversee world engineering, AI growth, and product structure. He joins the promoting software program supplier after most not too long ago serving as VP of engineering at Microsoft AI Copilot. Beforehand, he has served as CTO and co-founder of Xandr, an ad-tech firm that Microsoft acquired in 2022.

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