AI survey person light painting night reflection

Execs double down on AI: explore 5 AI adoption strategies for success

New EY AI Pulse Survey reveals that AI investments are set to double, but many companies are failing to invest in necessary infrastructure.


In brief

  • Blend custom AI development with ready-made solutions for a balanced investment strategy.
  • Implement “responsible AI” protocols to gain trust and outpace regulatory developments.
  • Invest in top AI talent and elevate current employees’ skills for a robust, AI-fluid workforce.

Artificial intelligence (AI) is redefining the competitive business landscape, with leaders actively investing to capitalize on its transformative promise. To investigate top-tier investment trends and perceptions in AI technology adoption among corporate leaders, as well as uncovering the state of AI in the US, we commissioned a survey among 500 senior executives across a spectrum of industries. Survey findings indicate a projected nearly twofold increase in AI investments, exceeding US$10 million or more in the next year, among those who are already investing, signaling AI’s shift to a central role in corporate growth strategies.

This sentiment follows a year in which AI investments had already significantly increased in pace. Just three years ago about half of senior leaders said their organization spent less than 5% of its total budget on AI investments. In contrast, today, 88% of those same leaders spend 5% or more of their total budget on AI. It’s a number that is set to grow even higher, as half of senior leaders said they would dedicate 25% or more of their total budget toward AI investments in the coming year.

 

At the same time, those already doubling down on investments are seeing the impact. While nearly all are investing in AI, our findings indicate a divergence between companies experimenting in small ways and those making larger investments. Senior leaders whose organizations are investing in AI and whose current budget for AI investments is 5% or more of their total budget saw higher rates of positive return across dimensions surveyed, compared with those who spend less than 5%.

 

However, despite the forecast investment boom, our findings also indicate that many leaders are ignoring the foundational functions AI needs in order to thrive. Successful AI adoption demands more than just technological integration; it’s about adapting to a new paradigm whereby AI reshapes every aspect of the enterprise. From building a scalable data infrastructure to fostering a workforce fluent in emerging technologies, the research emphasizes the need for a holistic approach to AI adoption. As we stand on the cusp of an AI-driven era, the message is clear: Those who invest wisely in AI today will be the industry trailblazers of tomorrow.


This article illuminates the essential strategies executives should deploy to navigate the complexities of AI adoption as their investments increase, including five key takeaways:

AI survey person dancing multicolor light projection
1

Chapter 1

Leaders should adopt diversified AI investment strategies

A balanced AI investment strategy marries proprietary innovation with off-the-shelf commercial technology.

In the search for operational excellence, businesses are turning to AI as a transformative technology. Custom AI development stands out for its ability to enhance enterprise operations, delivering peak efficiency and intelligent workflow management tailored to the intricate needs of the business. Simultaneously, the allure of pre-built AI technologies lies in their ability to offer immediate implementation and a more favorable cost structure. Discerning businesses should undertake a comprehensive analysis of their operational requirements, competitive landscape and long-term goals to determine the optimal blend of in-house and off-the-shelf AI solutions. By doing so, they position themselves to leverage the full spectrum of AI benefits, establishing a strategic advantage in the rapidly evolving marketplace.

This strategy allows for tailored solutions where necessary, while also leveraging the speed and cost-efficiency of pre-built AI technologies.

AI survey person walking light installation
2

Chapter 2

Prioritize ROI-driven AI deployment

Accelerate ROI by investing in AI tools that enhance operational efficiency and employee productivity.

Forward-thinking enterprises are looking to AI as a catalyst for business transformation. Strategic deployment of AI is crucial for firms aiming to strengthen their performance and realize cost efficiencies. By focusing on AI solutions that improve operational workflows and enhance employee productivity, organizations can convert traditional business models into AI-powered intelligent operations. This advancement goes beyond simple task improvement — it calls for a radical redesign of business processes to be AI-centric. By doing so, companies are not just automating; they are innovating, so that their investments in AI yield measurable financial returns and solidify their standing for the future.

About a third (34%) of senior leaders say their organization is tracking the impact of AI initiatives fully and at scale. The survey shows that among organizations investing in AI, these investments are delivering positive returns, especially in areas like operational efficiencies (77%), employee productivity (74%) and customer satisfaction (72%).

Business investment areas delivering the most positive returns


AI survey hand light painting
3

Chapter 3

Align your business and AI maturity roadmap

Advance AI maturity by syncing AI projects with business objectives and upgrading data frameworks.

A superfluid enterprise is a highly agile and adaptable organization, leveraging digital innovation to swiftly respond to market shifts, improve processes and drive continuous growth, facilitating sustained competitive advantage.

Capturing the full potential of AI requires more than just technological investment; it demands a strategic alignment that integrates AI initiatives with the core objectives of the business. A robust and well-structured data infrastructure is critical, as it underpins intelligent operations and aligns with the company’s strategic pursuits. This alignment paves the way for enhanced decision-making capabilities and a fertile environment for innovation. By achieving strategic AI maturity, organizations can transition into “superfluid” entities, characterized by their seamless decision-making processes and a relentless drive for innovation. In this way, a strong data foundation not only supports AI, but also propels businesses toward their goals with unprecedented efficiency and insight.


AI survey person silhouette light installation
4

Chapter 4

Invest in responsible AI as a competitive edge

Adopt ethical AI standards to foster trust and pre-empt regulatory challenges.

The surge in executive interest in responsible AI marks a pivotal shift in business strategy, placing ethical considerations at the forefront of AI adoption. To navigate this new terrain, companies should consider investing in comprehensive AI governance frameworks and strategies for mitigating bias, thereby safeguarding that their AI systems uphold fairness and transparency. Firms that excel in responsible AI not only distinguish themselves in a competitive marketplace, but also fortify themselves against future regulatory issues. In addition, ethical AI practices are a linchpin in the creation of a superfluid enterprise, where stakeholder trust is strengthened, compliance is effortlessly maintained and operational friction is reduced, all of which propels innovation. Pioneers in this area are setting a new industry standard, providing services that are both transparent and equitable, and charting the course for the future of AI-powered businesses.

There is clear interest in responsible AI, but leaders are not taking the necessary steps to realize this interest.


AI survey young woman neon lighting
5

Chapter 5

Embrace talent development as a value driver

Concentrate on acquiring AI specialists and enhancing staff competencies to build an adept AI-fluent workforce.

The scarcity of AI skills in the job market is a clarion call for businesses to invest in extensive employee upskilling and re-skilling programs. By cultivating AI skills within their existing workforce, companies can not only expedite the adoption of AI technologies but also secure a vital competitive advantage. Developing an internal pipeline of AI talent is essential for fostering a workforce that is not just proficient but superfluid — adaptable, innovative and fully equipped to leverage AI for maximum impact. Moreover, by placing a premium on attracting and nurturing AI-savvy employees, organizations can establish that their operations are driven by professionals that can unlock the full spectrum of AI's capabilities, positioning the business at the forefront of technological advancement.


Conclusion

  • The burgeoning influence of AI on the business landscape is undeniable, with our survey of 500 senior executives revealing a significant uptick in AI investments. This is not merely a trend but a strategic imperative; companies that do not actively engage with AI risk being left behind in a market that increasingly rewards innovation and agility. As we have seen, the future belongs to those who recognize AI's potential to redefine every facet of their operations — from process improvement to decision-making — and invest accordingly.


Summary

After more than a year of hype around generative AI’s potential, business leaders report they are already seeing a return on their AI investments and plan to increasingly become more bullish. However, significant risks still stand in the path to enterprise-wide AI adoption, including data infrastructure, ethical frameworks, and talent acquisition. The transformative journey into an AI-driven future demands a holistic and strategic approach. Those who act now will emerge as the trailblazers, setting the pace for an intelligent, superfluid enterprise that is both innovative and sustainable

About this article

Authors

Contributors

Related articles

Six pillars for AI success: how the C-suite can drive results

Competitive advantage rests on these capabilities and functions. But overlooking just one creates an unstable foundation. Learn how to evolve quickly.

How to choose GenAI for business: efficiency over complexity

Use minimum intelligence necessary to deploy efficient AI solutions. Ditch the one-size-fits-all mindset of always using the largest foundational model.

CIO Survey: will you set the GenAI agenda or follow the leaders?

Get insights on how CIOs will address the challenges and capture the full benefits of GenAI in the 2024 EY CIO Sentiment Survey.

Responsible AI means finding the balance between risk and reward

Understand the key challenges, potential risks, and strategies for adopting AI responsibly with these practical guidelines