2026 State of AI in APAC: One Region, Five Stories

AI adoption is advancing across APAC, but the region is not moving in lockstep.

AlphaSense’s proprietary 2026 State of AI for Business and Finance report shows that across APAC, professionals are using AI and seeing meaningful benefits. Yet respondents in the region report lower time savings than the global sample, place a stronger emphasis on accuracy, and are less convinced that firms will fall behind without enterprise-grade AI for research.

In fact, there are five different stories here: Japan, cautious and the least burned by bad output; Singapore, burdened by search; South Korea, a steady adopter; Australia, confident but security-conscious; and New Zealand, facing the steepest foundational barriers.

(Findings below draw on 141 respondents across five countries. The samples for Australia and New Zealand are small, so their results should be read as directional rather than conclusive.)

Time Savings Are Comparatively Modest

APAC professionals are saving less time with AI than respondents elsewhere. Only 32% report saving six or more hours per week, compared with 48% of respondents globally.

That comparatively modest result may help explain why APAC respondents are less likely to view enterprise AI adoption as an urgent competitive dividing line. The technology is producing value, but for many users, it has not yet generated efficiency gains large enough to feel transformative.

The underlying opportunity differs sharply by country.

• Singapore has the greatest internal-search burden among the major APAC markets examined. 10% spend more than 15 hours a week searching for internal information. And 49% say manual search accounts for most of the time they spend searching for internal information, significantly more than the overall average of 31% and even the APAC average of 39%.
• South Korea spends comparatively less time searching for internal information. 25% spend less than one hour per week on the task. South Korea also has high daily AI usage: 72% use it at least once daily, compared with 65% overall.
• Japan reports a minimal search burden relative to neighbors. 64% spend between one and five hours per week searching for internal information, and none report spending more than 10 hours.
• Australia has the highest AI usage: 79% use it at least once daily.
• New Zealand shows the highest reliance on manual search, 60% say it's their biggest internal-search time sink, even higher than Singapore's 49%.

Accuracy Matters More; Trust Varies by Tool

Accuracy is APAC’s clearest product priority. Trust in consumer-grade tools across APAC trails global levels.

• 58% consider consumer-grade GenAI tools highly or mostly trustworthy, compared with 68% overall.
• Trust in enterprise-grade tools is generally more consistent with global levels. Japan is the notable exception: Only 58% consider enterprise-grade tools highly or mostly trustworthy, significantly below the overall result of 78%. Japan is in fact the only APAC market in this survey where consumer-grade tools are trusted more than enterprise-grade tools (61% vs. 58%).
• 36% identify accuracy as the single most important feature of an AI tool, compared with 24% globally.
• Accuracy is an especially strong priority in South Korea (46%) and Japan (44%).
• However, in Japan, only 50% verify output from AI always or often, compared with 79% globally.

AI’s Decision-Making Benefits Are Uneven

APAC respondents generally report seeing decision-making benefits from AI, but to a slightly lesser degree than other regions. Country differences are especially revealing.

Australia performs particularly well.

• 79% say AI helps them reach decisions sooner, the highest in the region (APAC average: 63%)
• 51% say AI surfaces information at least once daily that they would not otherwise have found, the highest among surveyed countries (global average: 40%).

Japan sees more limited decision-making benefits.

• Only 39% say AI helps them make better decisions, compared with 60% globally.
• Japan has the highest share of respondents saying AI has never surfaced an insight they would not have found otherwise (11% vs 2%).

New Zealand shows strong decision-making benefits, but rarely discovers new insights.

• 70% say AI helped them decide sooner, increased their confidence, and led to decisions they appreciated later.
• However, New Zealand also has a comparatively high share of respondents who say AI has never surfaced an otherwise undiscovered insight (10%).

Negative Outcomes Are Not Distributed Evenly

AI-related problems are affecting professional work across APAC. 59% experience at least one problem caused by inaccurate or misleading AI output. 31% have cited an inaccurate data point or statistic, and 22% have quoted an incorrect or fabricated source.

Japan appears the least exposed to negative outcomes. 58% report none of the listed consequences have happened to them, the highest share of any of the surveyed countries.

New Zealand is the most exposed in APAC, with 80% having experienced at least one negative consequence, well above the regional average. 50% have cited an inaccurate data point or statistic.

Team collaboration benefits vary widely.

• Australia reports the region’s strongest knowledge-sharing benefit: 79% say AI has made it easier to share research and findings internally, well above the 50% global rate. Yet Australia also ties Japan for the highest share saying AI has not improved how their teams work together at all (14% vs. 4% globally).
• New Zealand shows the strongest consistency gains: 70% say AI has improved the consistency of outputs across team members, compared with 47% globally.
• Japan reports limited team collaboration benefits across most measures.

Governance and Organizational Support Take Different Forms

Formal support for AI is weaker across APAC than in the global sample.

• 23% say their organization actively encourages and promotes AI, compared with 33% overall.
• New Zealand has the lowest level of active encouragement (0%), followed by Japan (14%).
• APAC respondents are also less likely to use tools that have not been approved by their IT department:
  • 63% of APAC respondents use no unapproved AI tools, compared with 49% globally.
  • Only 18% use two or more unapproved tools, versus 30% in the United States, and 37% in Europe.
  • Japan and South Korea have especially high shares of respondents using no unapproved tools (69% and 72%, respectively).

The Investment Case Needs Stronger Proof

APAC respondents report real benefits from AI, but those benefits have not yet translated into confidence that AI adoption is a prerequisite for success. Only 40% believe a company that fails to adopt enterprise-grade AI for research is extremely or very likely to underperform, compared with 60% globally. Security concerns top the region's AI adoption barriers. Looking at the specific countries:

Japan

• Has the highest share of respondents whose organizations are not measuring AI ROI (22% vs. 3% globally).
• Has the lowest expectation that companies will structurally underperform if they fail to adopt enterprise-grade AI for research (26% say this is hardly or not at all likely, vs. 9% globally).

New Zealand

• Has the lowest expectations for increased AI budgets (60% vs. 80% globally).
• Reports the region’s strongest concerns about access to skilled professionals (40%).
• Also reports the highest regulatory and resistance-to-change barriers and lowest cost barrier.

Australia

• Identifies security as a particularly significant barrier to broader AI adoption (86% vs. 43% globally).
• Reports comparatively low concern about cost.

Singapore

• 41% cite implementation cost as a barrier, the highest in the region.

APAC’s Next Phase

APAC averages point to lower trust in consumer-grade AI, more modest time savings, and a stronger emphasis on accuracy and security than seen globally. But those regional patterns conceal meaningful differences. The five markets ultimately read less like one region and more like five distinct AI adoption stories.

Japan: cautious and the least burned. Combines limited organizational encouragement, low enterprise-grade AI tool trust, with weaker decision-making benefits for AI. It has the lowest rate of frequent verification of AI output, while ranking accuracy higher than most. Yet Japan is also the least exposed to AI's downsides and among the most disciplined in its governance.

Singapore: where AI still has the most to prove. Carries the region’s heaviest internal search burden. It also has the highest share of respondents citing implementation costs as a barrier to broader AI adoption.

South Korea: the steady adopter. Combines high daily usage with comparatively limited use of unapproved tools and a lighter internal search burden. It also places a strong emphasis on accuracy.

Australia: high reward, high security concern. Pairs the highest daily AI usage and strongest decision-making benefits with the sharpest security concerns.

New Zealand: facing the steepest foundational barriers. Shows the lowest budget confidence and lowest level of active AI encouragement, paired with the highest regulatory and skills barriers. It also has the most people who have been burned by bad AI output.

APAC’s AI market is developing through distinct trajectories. Regional strategies can establish shared principles, but organizations will need country-specific use cases, governance models, and investment priorities to produce meaningful results.

Methodology note: The APAC findings are based on 141 respondents across five countries with very different sample sizes: Singapore (41), South Korea (40), Japan (36), Australia (14), and New Zealand (10). All five country sizes are modest, and the findings for Australia and New Zealand in particular should be read as directional rather than conclusive.

For full global findings, see The 2026 State of AI for Business and Finance.

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