AI　最近の論考など

BCGの調査によると、CEOの約4分の3は自社のAI施策に関する主要な意思決定者となっています。そうしたCEOの大半が、AIに対して引き続き積極的な姿勢を示しています。

AIは業務、企業が求める人材、チームの協働の仕方を急速かつ根本的に変えつつあります。変化は避けられないものの、変革の方向性を形づくることは可能です。

不確実性が「常態」として経営の前提に組み込まれている今日、日本企業は変化を受容し、主体的に勝機を見極める姿勢が求められています。BCGコンサルタントが考える、2026年時点でビジネスリーダーが検討すべき10の経営論点を提示します。

BCGが世界11の国・地域を対象に実施した調査によると、AIツールを日常的に使用する一般従業員の割合は半数にとどまっています。活用を促すために、何をすべきでしょうか。

生成AIは驚異的なテクノロジーですが、経営リーダーたちはそれを活用して成果を上げる準備を整えています。企業が今すぐに取り組むべき3つの価値創出戦略を提示します。

Introducing AI into distributed channel models can dramatically boost salespeople’s effectiveness and efficiency, increasing sales by as much as 20%.

Shoppers find GenAI’s input decisive and say it increases their confidence in their purchase decisions. Brands must optimize this new touchpoint with consumers.

A fast-growing share of value from AI can be found in the tech function. What are leaders doing differently, and what can other companies learn from them?

"As jobs disappear, so will identity," says Akram Awad outlining the three types of people that will emerge as AI continues to replace the workforce.

AI can be a force multiplier for traditional cost measures. To capture this potential, companies need to take the right approach in implementing the technology.

Today’s global market leader in industrial AI and automation is redefining the future of manufacturing. Rainer Brehm, Siemens’s COO of Digital Industries Automation and CTO of Digital Industries, tells BCG’s Max Ludwig how Siemens is “automating automation.”

Fragmented data, manual processes, and legacy systems are holding the industry back. AI can simplify such issues—if companies take the right approach to implement it.

Automakers can use the technology to cut costs, accelerate execution, and build resilience—at scale.

AI empowers insurers to accelerate progress toward existing goals and set even more ambitious targets for the future. But three considerations are essential to success.

More capable and practical than ever, extended reality technologies give frontline workers superpowers—while turbocharging the recruitment, training, and support of these crucial employees.

As AI agents take over more tasks at work, the question isn’t whether or not humans matter — it’s how we make our impact count. Leadership expert Vinciane Beauchene challenges some commonly held assumptions about how AI will transform the workplace, sharing a blueprint for leaders to design organizations where people can focus on what truly makes a difference.

As more customers rely on third-party AI agents to help them shop, brands risk losing their influence unless they reinvent their customer experience.

Companies can use AI-generated service agents and other tools to offer users a more rewarding and personalized journey, says BCG’s Robert Derow.

The convergence of AI-powered agents and innovative hardware will enable brands to deliver superior customer experience at a much lower cost-to-serve.

Manufacturers need to optimize for increased productivity, improved sustainability, greater resilience, and a stronger workforce. How can they harness the latest technologies to realize these goals?

To support the rise of autonomous agents, BCG X created AgentKit, a framework for developers to build agent applications. Learn about this AI revolution here.

If it feels like work is changing, it’s because it is.

Massive data spending does not equal AI business impact. BCG’s Vlad Lukic explains why many investments miss and how leaders can flip data and AI into competitive advantage.

To preserve their brand’s character in an oversaturated market, CMOs must blend human creativity with AI’s power to scale.

An AI-first consultant, who happens to have a PhD in astrophysics, shares what he has learned from querying GenAI chatbots up to 100 times a day.

Cisco’s Vikram Rao and BCG X’s Ben Quirt explain how collaborative design, ongoing feedback, and a focus on employee experience are key to scaling AI that truly works for people.

Citi’s Sophia Bantanidis and BCG’s Karen Lellouche Tordjman explore agentic AI’s potential and the centrality of humans in making it work.

Jayanth Nagarajan of AWS and BCG’s Tarandeep Singh explain why customer centricity and internal transformation are musts for making GenAI work.

BCG’s Becky Frederick and Djon Kleine shed light on how agentic AI promises to transform the way we do business.

Rather than feeling threatened by Generative AI, risk and compliance (R&C) teams should adopt it for their own operations.

To support rapid AI adoption, risk and compliance functions must lead efforts to ensure responsible use, transform processes, and enhance decision making.

While the US and China have established early dominance in supplying this crucial technology, other competitors are emerging. Here’s what leaders need to know.

Even with comprehensive testing and evaluation, the risk of system failure with GenAI will never be zero. Organizations must respond swiftly when failures inevitably occur.

From search to conversation, discoverability is evolving. Learn how brands must optimize for AI-driven answers, agents, and always-on generative ecosystems.

As artificial intelligence evolves, IT budgets are keeping pace, with companies ratcheting up investments that drive growth—and squeezing mature categories to free the funding.

By leading the charge on GenAI, CIOs can boost productivity within the tech function and also help spark a true AI transformation in the larger organization.

News organizations and other creators are blocking access to the diverse, high-quality content that feeds GenAI models. Here’s a way for the two sides to work together.

To harness the power of generative AI and keep up with the wave of constant innovation, CTOs need to rethink their company’s digital and organizational infrastructure.