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Investing in Emerging Tech: Lessons from Leading Companies That Are Getting It Right

Scott Likens
PwC

With technology advancing at an unprecedented rate, it can be overwhelming for businesses to decide where to place their bets. From generative AI to blockchain, virtual reality to quantum computing — not to mention the convergence of these and other emerging technologies — the challenge is how to make the appropriate investments that align with an organization's needs and goals.

We designed our recent Emerging Technology Survey to help businesses navigate the evolving technology landscape. The results showed that while most corporate executives (89%) are increasing their technology budgets, only 7% are achieving value from their emerging technology investments. Executives in these organizations report significantly higher benefits from emerging tech in general, and from generative AI in particular, than their peers.


So how can you know whether your tech investments are prescient or premature?

And how can you pinpoint which technologies are right for your business now and which may be essential soon?

We call these 7% of respondents the EmTech Accelerators, who may hold the key to your success.

The "Essential Eight" Technologies Driving Business Transformation

PwC's "Essential Eight" is a curated list of technologies that PwC believes has the potential to create a significant impact across multiple industries and functions. We've organized the Essential Eight into three categories that reflect how business leaders can prioritize their efforts:

Essential to Expand: These technologies are integral to modern business operations and are now used at scale in many companies. AI and the Internet of Things (IoT) — from wearables and home appliances to enterprise-level connected devices — fall into this category, having demonstrated their broad applicability and value in streamlining routine processes, enhancing customer experiences, and driving business transformation.

Essential to Evaluate: This includes emerging technologies that may have been put on the backburner but now require re-evaluation given the pace of recent advancements. Blockchain systems for secure and transparent asset management; immersive experiences that blend the digital and physical worlds (Augmented Reality) or create entirely digital environments (Virtual Reality); and Advanced Robotics that autonomously interact and respond to the real-world are all on the cusp of more broad mainstream use.

Essential to Experiment: These more nascent technologies are rapidly advancing and have significant long-term potential, but they are still in the initial stages. Nevertheless, it's not too early to consider how your business or industry might benefit from implementing them. Quantum Computing, for example, is poised to revolutionize the way we work for its ability to help solve previously "unsolvable" problems and manage complex tasks in record time. Neuromorphic Computing, which mimics the architecture and functioning of the human brain, can create efficiencies in both data processing and power consumption for better sustainability and greater cost savings.

Where Technology Investment Dollars Are Going

AI is the clear investment leader, with 55% of companies having invested in AI (including generative AI) in the past year, citing it as their top priority. This trend should continue in 2024, as 58% of companies are expected to prioritize AI investments.

Alongside AI, companies will set their sights on other Essential Eight technologies as well:


IoT and Virtual Reality join AI in the top three, with 46% and 35% of respondents prioritizing investments in these technologies over the next 12 months. Blockchain investment was 30% overall, but rose to 46% in banking capital markets. 

And we are seeing workforce roles reflect these investment trends, with 28% of respondents reporting that at least one-fifth of their employees engage in emerging tech as part of their job function

But while the focus on tech investment is universal, the EmTech Accelerators are doing it differently — and with greater results. 

Meet the EmTech Accelerators: Top Performers Unlocking Consistent Value

We designed two indexes to identify how much measurable value companies have already achieved from tech-related investments. One index covered all Essential Eight technologies and the other focused on GenAI specifically. EmTech Accelerators reached the top 10% across both indexes.

Unlike other companies, EmTech Accelerators use technology primarily to drive growth-related activities. They significantly outperform the overall sample in improved products and services, faster time to market, better decision-making, and higher profits. 

As we took a closer look at what makes the EmTech Accelerators so successful, we found some common leading practices that these companies employ to increase their investments and outperform their peers: 

Use emerging technology for reinvention: EmTech Accelerators often look outside their industry for use cases to adopt. They then quickly adapt these use cases to create new experiences for customers and employees — or develop entirely new growth strategies for specific lines of business.

Allocate the right resources: EmTech Accelerators invest more financial and human capital in emerging technologies. They prioritize flexibility and collaboration, as well as upskilling employees to build organizational trust in new tech.

Integrate emerging technology: More than four-fifths of EmTech Accelerators understand that convergence is king. The more these technologies work together — AI to analyze IoT data, quantum computing to enhance virtual spaces — the more data you can gather and use for better decision making and greater ROI.

Embed emerging tech into your business strategy: Close collaboration between business and technology leaders helps organizations create value and confirm that the Essential Eight are deployed responsibly. The appropriate governance, standards and accountability go a long way toward driving innovation and building trust. 

Outside of the EmTech Accelerators, very few organizations in 2023 were getting the most out of their emerging technology investments. As we enter 2024, companies should follow the practices of EmTech Accelerators and implement emerging tech into their long-term strategies and operations. Only then can they increase the return on their tech investments and drive sustained innovation.

Scott Likens is Global AI and US Innovation Technology Leader at PwC

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Investing in Emerging Tech: Lessons from Leading Companies That Are Getting It Right

Scott Likens
PwC

With technology advancing at an unprecedented rate, it can be overwhelming for businesses to decide where to place their bets. From generative AI to blockchain, virtual reality to quantum computing — not to mention the convergence of these and other emerging technologies — the challenge is how to make the appropriate investments that align with an organization's needs and goals.

We designed our recent Emerging Technology Survey to help businesses navigate the evolving technology landscape. The results showed that while most corporate executives (89%) are increasing their technology budgets, only 7% are achieving value from their emerging technology investments. Executives in these organizations report significantly higher benefits from emerging tech in general, and from generative AI in particular, than their peers.


So how can you know whether your tech investments are prescient or premature?

And how can you pinpoint which technologies are right for your business now and which may be essential soon?

We call these 7% of respondents the EmTech Accelerators, who may hold the key to your success.

The "Essential Eight" Technologies Driving Business Transformation

PwC's "Essential Eight" is a curated list of technologies that PwC believes has the potential to create a significant impact across multiple industries and functions. We've organized the Essential Eight into three categories that reflect how business leaders can prioritize their efforts:

Essential to Expand: These technologies are integral to modern business operations and are now used at scale in many companies. AI and the Internet of Things (IoT) — from wearables and home appliances to enterprise-level connected devices — fall into this category, having demonstrated their broad applicability and value in streamlining routine processes, enhancing customer experiences, and driving business transformation.

Essential to Evaluate: This includes emerging technologies that may have been put on the backburner but now require re-evaluation given the pace of recent advancements. Blockchain systems for secure and transparent asset management; immersive experiences that blend the digital and physical worlds (Augmented Reality) or create entirely digital environments (Virtual Reality); and Advanced Robotics that autonomously interact and respond to the real-world are all on the cusp of more broad mainstream use.

Essential to Experiment: These more nascent technologies are rapidly advancing and have significant long-term potential, but they are still in the initial stages. Nevertheless, it's not too early to consider how your business or industry might benefit from implementing them. Quantum Computing, for example, is poised to revolutionize the way we work for its ability to help solve previously "unsolvable" problems and manage complex tasks in record time. Neuromorphic Computing, which mimics the architecture and functioning of the human brain, can create efficiencies in both data processing and power consumption for better sustainability and greater cost savings.

Where Technology Investment Dollars Are Going

AI is the clear investment leader, with 55% of companies having invested in AI (including generative AI) in the past year, citing it as their top priority. This trend should continue in 2024, as 58% of companies are expected to prioritize AI investments.

Alongside AI, companies will set their sights on other Essential Eight technologies as well:


IoT and Virtual Reality join AI in the top three, with 46% and 35% of respondents prioritizing investments in these technologies over the next 12 months. Blockchain investment was 30% overall, but rose to 46% in banking capital markets. 

And we are seeing workforce roles reflect these investment trends, with 28% of respondents reporting that at least one-fifth of their employees engage in emerging tech as part of their job function

But while the focus on tech investment is universal, the EmTech Accelerators are doing it differently — and with greater results. 

Meet the EmTech Accelerators: Top Performers Unlocking Consistent Value

We designed two indexes to identify how much measurable value companies have already achieved from tech-related investments. One index covered all Essential Eight technologies and the other focused on GenAI specifically. EmTech Accelerators reached the top 10% across both indexes.

Unlike other companies, EmTech Accelerators use technology primarily to drive growth-related activities. They significantly outperform the overall sample in improved products and services, faster time to market, better decision-making, and higher profits. 

As we took a closer look at what makes the EmTech Accelerators so successful, we found some common leading practices that these companies employ to increase their investments and outperform their peers: 

Use emerging technology for reinvention: EmTech Accelerators often look outside their industry for use cases to adopt. They then quickly adapt these use cases to create new experiences for customers and employees — or develop entirely new growth strategies for specific lines of business.

Allocate the right resources: EmTech Accelerators invest more financial and human capital in emerging technologies. They prioritize flexibility and collaboration, as well as upskilling employees to build organizational trust in new tech.

Integrate emerging technology: More than four-fifths of EmTech Accelerators understand that convergence is king. The more these technologies work together — AI to analyze IoT data, quantum computing to enhance virtual spaces — the more data you can gather and use for better decision making and greater ROI.

Embed emerging tech into your business strategy: Close collaboration between business and technology leaders helps organizations create value and confirm that the Essential Eight are deployed responsibly. The appropriate governance, standards and accountability go a long way toward driving innovation and building trust. 

Outside of the EmTech Accelerators, very few organizations in 2023 were getting the most out of their emerging technology investments. As we enter 2024, companies should follow the practices of EmTech Accelerators and implement emerging tech into their long-term strategies and operations. Only then can they increase the return on their tech investments and drive sustained innovation.

Scott Likens is Global AI and US Innovation Technology Leader at PwC

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...