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Data Center News > Blog > AI > Insurers betting big on AI: Accenture
AI

Insurers betting big on AI: Accenture

Last updated: January 29, 2026 8:37 pm
Published January 29, 2026
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Insurers betting big on AI: Accenture
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New analysis from Accenture has found insurance coverage executives are planning on elevated funding into AI throughout 2026 regardless of a widening expertise hole in insurance coverage organisations.

Surveying 3,650 C-suite leaders over 20 industries and 20 nations, the Pulse of Change ballot revealed 90% of the 218 senior insurance coverage executives intend to spend extra on AI over the following yr. In all, 85% of the respondents view AI as a software for income enlargement not one which reduces prices.

Whereas organisations are upping their AI funding to drive development, 35% of leaders acknowledge that true progress will depend on getting core information methods and digital talents proper. 54% of staff reported that low-quality or deceptive AI outputs are undermining AI’s advantages, resulting in diminished productiveness and time-wasting.

AI funding is probably not sufficient, Accenture says. Its survey suggests sustainable development depends on information high quality and trusted outputs.

AI adoption enters enterprise scale

The Pulse of Change survey signifies a shift in AI adoption because it goes past experimental phases to giant scale organisational ranges. With 34% of insurance coverage corporations now rolling out AI brokers in a number of capabilities, insurers are heading into operational use and away from remoted experiments.

virtually a 3rd of senior C-suite leaders are continuously utilizing generative AI, highlighting elevated implementation on the highest degree. Due to this fact, AI is undoubtedly shaping workflows, methods, and key choices, affecting all aspects of companies.

Practically a 3rd of companies are rebuilding total processes with AI. Not is the expertise a supporting addition to current workflows; it has develop into a central part, signalling a extra mature stage of AI adoption.

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Regardless of redesigning processes to incorporate AI, fewer than 10% are redesigning worker roles to match such modifications, leading to many staff feeling unprepared. Simply 40% claimed their coaching has geared up them for brand new AI obligations, and solely 20% really feel like they’ve any say in how AI impacts their work.

AI adoption by corporations could also be accelerating, however worker use lags behind. There was a ten share level drop in common AI use by staff since summer time 2025, whereas solely 39% try AI instruments independently, a drop of 15 factors. For efficient AI use and to hurry up AI adoption among the many workforce, corporations have to be ready to revamp job roles, align incentives, and supply improved coaching programmes as, proper now, staff are feeling hesitant and unprepared to make use of AI on their very own.

AI funding nonetheless fuelling govt optimism amid bubble fears

Though talks round a possible AI bubble proceed to cloud the trade, insurance coverage executives stay assured. 47% claimed they’d improve AI spending if the bubble burst, and 37% would escalate recruitment.

Altogether, 6% mentioned they’d “lower investments ([by] 20% or extra),” 22% would “considerably lower investments ([by] as much as 20%),” 24% would make “no change,” 40% would “considerably improve investments (as much as 20%),” and seven% would “improve investments (20% or extra).”

Khalid Lahraoui, Accenture’s insurance coverage trade group lead, commented, “It’s clear that insurance coverage leaders are assured in AI’s capability to drive development, and as such, they’re decisively rising investments, regardless of ROI uncertainty.”

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Lack of AI expertise blocking AI’s potential worth

As insurance coverage executives put together to speculate closely in AI, obstacles lie in wait. As an illustration, 1 / 4 of executives mentioned talent shortages are a core concern and a key participant in figuring out the worth they extract from AI. Though these challenges persist in several industries, simply 24% of respondents have carried out steady studying programmes related to AI. Furthermore, solely 5% mentioned they’re adjusting job positions to assist the adoption of AI.

AI adoption disconnect

The disconnect between C-suite leaders and staff is obvious from the survey’s information. Though expertise is the primary driver of AI scaling, staff really feel much less assured and safe than management assumes. 23% of C-suite leaders mentioned improved entry to expert expertise would speed up their AI implementation methods. 38% of staff consider their organisation would reply successfully to technological disruption, however simply 30% really feel assured about how their firm would deal with expertise disruption.

Job safety can be waning, with 48% feeling safe of their roles, down from 59% in summer time 2025. In the meantime, 59% of employees consider younger professionals are discovering it tougher to search out jobs because of automation and AI. Management may even see expertise as an accelerator for AI, however nervousness round job safety and organisational readiness persists.

Key focus is on funding

Roughly two thirds of executives are prioritising investments in digital applied sciences and AI amid the speedy modifications going through international industries. 67% reported feeling well-prepared for technological disruption, however solely 39% felt assured if there was environmental disruption, and 44% for geopolitical disruption.

See also  Accenture to Acquire Arηs Group

Once more, there’s a divide between management and staff, with solely 29% of insurance coverage employees feeling assured throughout financial disruption in comparison with 43% of leaders.

Optimism amongst insurance coverage executives and C-suite leaders as a complete stays excessive, regardless of 82% anticipating additional modifications in 2026, a 24 share hole with staff. 78% anticipate stronger and quicker income development within the subsequent yr and 82% have plans to extend recruitment.

In keeping with Accenture’s report, the important thing problem will not be AI expertise itself; it’s getting staff on board, engaged, and able to work with AI.

Because the report notes, bridging the hole between expertise and folks is the important thing to success. “2026 will favour people who align the boldness of their technological investments with dedication to workforce wants,” the report concludes.

(Picture supply: “Accenture Constructing Metropolis View Plaza San Jose” by mrkathika is licensed beneath CC BY-SA 2.0.)

 

Wish to be taught extra about AI and massive information from trade leaders? Take a look at AI & Big Data Expo going down in Amsterdam, California, and London. The great occasion is a part of TechEx and co-located with different main expertise occasions. Click on here for extra info.

AI Information is powered by TechForge Media. Discover different upcoming enterprise expertise occasions and webinars here.

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Contents
AI adoption enters enterprise scaleAI funding nonetheless fuelling govt optimism amid bubble fearsLack of AI expertise blocking AI’s potential worthAI adoption disconnectKey focus is on funding
TAGGED: Accenture, Betting, big, insurers
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