AI　最近の論考など

1,800人以上の経営層を対象にしたBCGの調査によると、AIは2025年も引き続き、世界中のビジネスリーダーにとって最優先事項となっています。特に、AIで具体的な成果を生み出すことに焦点が当てられています。

不確実性の高い時代、企業リーダーにとって、世界的な潮流を読み取ることは自社の戦略の方向性を定めるうえで欠かせません。本書は、今後10年先の事業環境を見据え、2025年時点で優先的に検討すべきとBCGが考える経営上の重要論点を提示しています。

この1年で従業員は生成AIの効果への信頼を深めつつあります。しかし同時に、仕事を失うことへの恐れも増しているようです。企業は慎重な検討と戦略的な行動をとることで、働き手の相反する見方に対処できるようになります。

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。

生成AIは、CEOにこれまでにない難問を突きつけています。まず取り組むべきは、生成AIが自社や業界に与える影響を理解することです。本稿では、生成AIがもたらす好機を捉えつつ、課題をかじ取りするための戦略の立て方をご紹介します。

Generative AI presents risks, but the go-to solution—humans reviewing the output—isn’t as straightforward as executives think. Oversight needs to be designed, not delegated.

Artificial intelligence is evolving rapidly, bringing with it deployment challenges, cost and energy concerns, and regulatory shifts. Yet there is a clear path to value.

Companies are using AI to enhance their organizational learning, improving not only financial results, but also the ability to manage strategy-related uncertainties.

A new experiment shows that GenAI isn’t just a tool for increasing productivity—it can expand the range of tasks workers can perform.

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 executives become aware of the power of pricing strategy, their ability to generate long-term profits will depend on whether they resist, accept, or accelerate five trends.

From personalized medicine solutions and automated provider workflows to integrated ecosystems, global experts from BCG and BCG X share their insights on digital health trends.

BCG’s new AI Maturity Matrix combines an economy’s exposure to AI with its readiness to handle AI disruption. Explore our assessment of 73 economies.

BCG's Amaryllis Liampoti presents three foundational principles for how brands can harness AI to enhances lives without undermining human agency.

Neveen Awad highlights a broad shift in health care towards hyper-personalized experiences and makes the case for inclusive innovation that benefits everyone.

Negotiating the price of a product can be uncomfortable. Andrej Levin shows how advancements in AI could help companies across industries set optimal fixed prices, making bargaining a thing of the past.

Tackling the macro ambition and micro obstacles of GenAI, IBM’s Roger Premo and BCG’s Vlad Lukic share how industry leaders are redefining workflows, advancing governance, and leveraging partnerships to unlock transformational value.

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?

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

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.

Today’s large language models are the just start of the GenAI revolution—companies need to prepare for what’s coming next: autonomous agents that work independently to achieve an assigned goal.

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

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.

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

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.

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.

Marketers must plan their media buys based on what truly drives influence, and they must lean into AI to power execution.

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.

With the recent wave of innovation in AI and generative AI technologies, the stakes are getting high for companies that cannot transition to the cloud and leverage these new cloud-based tools.