AI Agents: What Are They, and How Will They Impact the AI PC Space in 2025?

What are AI agents?

Over the past several quarters, OEMs have focused on incorporating local AI-powered features into their new PC releases, with initial neural processing unit (NPU)-enabled use cases leveraging AI to further enhance collaboration experiences and extend battery life. However, AI agents take the NPU’s functionality a step further, combining the capabilities of large language models (LLMs) with other resources to partially or fully automate a wide range of tasks, including responding to emails, booking hotel stays, or opening and closing IT help desk tickets.
 

LLM-based AI systems have traditionally been programmatic in nature, making them well suited for accomplishing a relatively narrow range of tasks quickly but with a varying degree of accuracy depending on the user’s specific query and how closely it aligns with how the LLM was trained. However, as AI has matured, an increasing number of organizations have invested in the development of compound AI systems, making way for the rise of agentic AI. Compound AI systems, which include AI agents, combine AI models with additional resources such as adjacent AI models, external data sets, web searching capabilities and other APIs to address some of the limitations of programmatic AI systems. This allows AI agents to carry out more complex tasks with a higher degree of accuracy compared to traditional programmatic AI systems, like ChatGPT.
 

Find out what’s in store for AI PCs in 2025, including how built-in AI and neural processing units are shaping the next PC refresh cycle.

Download TBR’s 2025 AI PC Predictions special report today!


 

As a general rule, as AI systems become more compound, speed is sacrificed. However, the compound nature of AI agents is what allows them to act on behalf of the user — a key differentiator and the primary value proposition behind agentic AI. Without any human intervention, an AI agent can create several subtasks where it brings in and analyzes data from several sources before determining the next step in the process.
 

It is worth noting that while AI PC agents typically leverage the NPU, most AI PC agents do not operate completely locally, leveraging cloud computing resources.

Proprietary AI agents will become increasingly prevalent in the AI PC space over the next several quarters

Maximizing AI PC appeal through software integration

For OEMs to attract customers to their AI PC offerings, the devices must have software that leverages the power of the NPU in a way that improves performance, productivity and/or security.
 

One of the most important software solutions underpinning the AI PC space is Microsoft Copilot+, which offers a series of generative AI (GenAI) features and experiences for Windows 11 machines leveraging several of Microsoft’s small language models. However, not all Copilot+ functions are run natively on the device, with certain queries going to the cloud, which may lead to security and privacy concerns for some users.
 

To differentiate its AI PC portfolio and bring more AI tasks onto the device itself, Lenovo has developed an agent known as AI Now, which has capabilities such as document management, meeting summarization, device control and content generation. Leveraging a local large language model built with significant collaboration from Meta, AI Now offers enhanced data privacy and enables GenAI features without internet connectivity by allowing users to interact in real time with the device’s personal knowledge base, rather than relying on cloud computing.
 

With the release of its first set of Next-Gen AI PCs in May, HP Inc. announced a similar application to Lenovo’s AI Now, named HP AI Companion. Available for download on any HP AI PC with a 40-60 TOPS (trillion operations per second) NPU, the application leverages OpenAI’s GPT-4 model to bring AI tasks such as performance optimization, document summarization and content generation onto the device.
 

Click the image below to watch our latest devices TBR Insights Live session, AI PCs in 2025: Unlocking Mass Appeal and Overcoming Market Challenges

 

AI agents as differentiators in the AI PC market

We expect to see these offerings become increasingly central to the AI PC space over the next several months, with vendors tapping into buyers’ concerns about data privacy related to cloud computing in order to promote their own proprietary AI agents. Vendors will continue to position these agents as complements to Microsoft’s Copilot+, rather than replacements, as they will shy away both from attempting to compete with Copilot+ and other cloud-based offerings and from alienating Microsoft, a vital partner when it comes to AI.
 

Overall, these agents are currently being more heavily marketed toward commercial customers, as that subsegment of the market is generally more strategically valuable to OEMs because of commercial PCs’ higher average revenue per unit (ARPU) and attach rates for peripherals and services.
 

However, TBR expects these agents to gain traction in the consumer AI PC space as well, especially as they include features useful to all users, such as performance optimization and increased security, as well as those designed specifically for enhancing workplace productivity. Ultimately, TBR believes the extent to which vendors can educate users on when and how to use specific AI tools will determine the level of adoption of individual AI tools. The availability of multiple tools on the PC is likely to lead to confusion.
 

Similar to AI PC OEMs, smartphone vendors are becoming increasingly invested in baking AI into their devices to enhance the devices’ value and accelerate the refresh cycle. Many of these features revolve around photo and video editing software, such as Google’s Magic Editor and Photo Unblur, as well as notification and document summarization. Personal agents that allow the user to navigate their device through voice commands and natural-language text such as Apple’s Siri are also popular.
 

Smartphone vendors are also combining on-device and cloud-based AI processing when building out the functionality of these devices, with the recently released Apple Intelligence platform being the most prominent example. When possible, queries are processed on the device through the NPU built into Apple’s proprietary chips, while queries that are more complex are sent to the cloud through the company’s Private Cloud Compute system. TBR expects that this hybrid model will increase in popularity as devices vendors balance greater AI functionality with data privacy and security.

 

Learn more

Download 2025 Predictions special report: AI PCs: Progress, Potential and Hurdles in Redefining the Market in 2025

Watch On-demand TBR Insights Live session: AI PCs in 2025: Unlocking Mass Appeal and Overcoming Market Challenges

Key Discussions on Strategic Alliance Management, the Emerging India Opportunity, Monetizing GenAI in Cloud and More Now Available On Demand

Technology Business Research, Inc. (TBR) is pleased to announce on-demand availability of all of our 4Q24 TBR Insights Live webinars. 4Q24 topics included strategic alliance management, the U.S. telecom B2B market, the emerging India opportunity, monetizing generative AI (GenAI) in cloud, the evolving IT infrastructure landscape, the private cellular networks market, and the hyperscaler ecosystem landscape.

 

Click any of the linked titles below to watch the full videos today.

 

Strategic Alliance Management: Case Study of a TBR Use Case

Learn: How both services revenue and industry-vertical revenue can guide your firm’s alliance strategy; how quarterly ITO revenue can help your firm benchmark partner teams for QBRs with validated and independent data; and which global systems integrator may be the right partner for your firm, and why the biggest partner may not be the best

 

State of the U.S. Telecom B2B Market: Trends and Strategies Impacting the Competitive Landscape

Learn: B2B revenue comparison of leading U.S. operators; macroeconomic and telecom industry trends that are impacting B2B customer segments, including SMBs, large enterprises and the public sector; and the impact of recent and upcoming partnerships and mergers & acquisitions on the competitive landscape of the U.S. telecom B2B market

 

$130+ Billion Emerging India Opportunity – India-centric vs. Global IT Services Firms: Who Wins and Why

Learn: The strategies, investments and internal activities global management consultancies and global systems integrators have leveraged to address the local Indian market; the market minefields and systemic challenges that may slow growth in consulting and IT services; and the consultancies and IT services companies TBR believes will lead and lag in the market

 

Monetizing GenAI: Cloud Vendors’ Investment Strategies and 2025 Outlook

Learn: The investments cloud vendors are making in their infrastructure, partnerships and portfolios; the business models that enable vendors to best monetize GenAI technologies; and TBR’s projections for industry changes in 2025

 

Evolving IT Infrastructure Consumption Services: Expectations for 2025

Learn: How infrastructure consumption services are evolving to meet AI demand and the increasing role they are playing in sustainability

 

Private Cellular Networks: Growth Drivers, Challenges and Opportunities Expected Through 2028

Learn: Which verticals are leading and lagging in private cellular network adoption; which ecosystem players are positioned to capitalize on market trends; and key growth drivers and detractors expected through 2028

 

Hyperscalers Building Out Their Global Networks: What this Means for the Telecom Industry

Learn: Key insights from TBR’s latest Hyperscaler Digital Ecosystem Market Landscape and how hyperscaler-owned and -operated networks will impact the telecom industry

 

TBR Insights Live sessions are held typically on Thursdays at 1 p.m. ET and include a 15-minute Q&A session following the main presentation. A recording of the session is sent to all registrants the day after the live airing.

 

To find out what we are discussing in the upcoming months, visit the TBR Insights Live page of our website.

 

PwC Positions Trust and Cybersecurity as Pillars for Success in AI and Business Transformation

Analyst Summit Boston: PwC positions trust and cybersecurity as pillars for success in AI and business transformation

PwC has unquestionably built a brand around trust, as reflected in the two main themes woven throughout the Boston PwC Analyst Summit: risk and cybersecurity. In TBR’s view, PwC’s fundamental value proposition around trust and client intimacy reflects the firm’s strong governance, risk and compliance (GRC), cybersecurity and technology capabilities. TBR views risk and cybersecurity offerings as natural enablers for client discussions around business model reinvention and — when complemented by credible customer zero use cases across multiple domains, including AI — an extension of trust throughout a client’s ecosystem.

 

Despite its traditionally risk-averse culture, PwC was relatively quick to roll out an internal version of ChatGPT to all employees, and TBR believes the firm likely uncovered substantial best practices in how to manage change and limit downside risk associated with generative AI (GenAI).

 

Recognizing that cyber risk is no longer solely a technology issue but also a businesswide concern with financial and reputational consequences, PwC leaders repeatedly stressed that governance, not technology, must take the lead in ensuring robust cybersecurity strategies, supported by an ecosystem of partners. During a managed services use-case discussion, a client noted that PwC brought specific technology expertise and experience working with other business customers on this client’s specific problem. PwC’s relevant experience offered the client distinct benefits around risk mitigation, as part of their larger managed services engagement.

Additional highlights from PwC’s Boston event:

  • An emphasis on data sustainability and GenAI is central to PwC’s long-term investment strategy, forming the foundation of every business line. PwC’s role as what TBR calls a “technology orchestrator” reflects the firm’s commitment to navigating the intersection of renewable energy, AI and other emerging technologies to help clients adapt and grow.
  • Geopolitical tensions, particularly between the U.S. and China, remain a critical concern, with bipartisan consensus in the U.S. about addressing these issues underscoring the urgency. Despite challenges with R&D expense rules and state-level regulatory complexities, PwC has been advising clients to embrace sustainability and prepare for scenario planning.
  • Mike Thiessen, PwC’s U.S. Chief Clients and Markets leader, noted that PwC’s approach to GenAI focuses on building bespoke workflows, integrating technical development with legal safeguards, and prioritizing user-driven curation. PwC recognizes that each GenAI project is unique, requiring tailored approaches and experience in addition to technical features. Under these conditions, PwC ensures AI implementation is secure and effective, aligning with the firm’s broader AI strategy.
  • C. Lapierre, one of PwC’s U.S. Sustainability leaders, noted that mandatory reporting on climate action can serve as a catalyst for enterprises to get their data and sustainability strategy in order. Many companies now understand the scope and depth of the work needed to meet net-zero commitments, which were often made before the necessary parties had a full understanding of the difficulties and opportunities involved.

Artificial intelligence: Big bets, massive change, and all comes back to trust

On artificial intelligence (AI), PwC leaders during the Boston event noted that AI is reshaping everything, from brand and market positioning to operational strategy. PwC committed to a $1.5 billion investment in AI, an increase from its original announcement of $1 billion, underscoring the technology’s importance to the firm’s future.

 

The vendor is also focused on delivery excellence, specifically enhancing systems like SBLC to make them more intelligent and efficient. PwC noted that the U.S. firm spends 17 million hours annually bringing ISV partners into the production stage of engagements, clearly an area ripe for AI-driven optimization. Additionally, PwC leaders said that new partnerships around developing language models are revolutionizing SBLC, creating a new foundation while refactoring older offerings. According to PwC, this shift reflects the broader evolution of AI from an emerging technology to a general-purpose one that is now central to business strategies.

 

PwC leaders elaborated on potential business model implications of wider AI adoption, including the erosion of scale as a differentiator as AI-driven agentic workflows allow small companies to simulate large-scale operations. In addition, faster adoption rates help businesses more quickly realize the efficiency AI brings to back-office operations.

 

In TBR’s view, trust continues to be the linchpin for AI’s success; absent trust, AI’s potential will remain unrealized. As noted above, in previous TBR reports, and by PwC leaders repeatedly during the Boston event, PwC’s brand is built around trust.

 

Demonstrating the criticality of AI to PwC, firm leaders noted nine high-stakes AI investments, each worth $50 million, aimed at driving either top-line growth or cost reduction. One of the standout initiatives is Elly, an AI-powered system with a digital worker equivalent (DWE) of 2,500 — with each DWE representing 2,000 hours of work. This demonstrates the firm’s bullish outlook on AI’s return on investment.

 

Further, PwC leaders believe AI’s impact extends to enterprise resource planning (ERP) systems. While earlier designs emphasized efficiency, the focus has now shifted to functionality and achieving the best outcomes. In building these systems, PwC is ensuring that both design and implementation align with the firm’s strategic objectives. TBR agrees with PwC’s assessment of the potential for AI to massively improve ERP systems, provided enterprises fully trust their AI platform to handle mission-critical and proprietary data. Again, the emphasis is on trust.

Analyst Summit London: PwC leaders highlight megatrends and business model reinvention in effort to navigate transformation

In London, PwC leaders shared the following megatrends and commentary from the firm’s perspective:

  • Climate change is negatively affecting social stability.
  • Increasing demand for silicon chips and power, combined with a limited supply of chips and GenAI, is compounding clients’ risk factors.
  • There is a global need to rethink power, global food supplies, demographics and migration, and industrial processes.
  • Increase for on-demand mobility is quickening the pace of change in the automotive and oil & gas verticals.

 

To address the megatrends and capture opportunities, PwC is investing in three key areas both globally and in EMEA: sustainability, trust and business model reinvention (BMR). BMR requires helping clients operate in new ecosystems to find future areas of growth and reconsider how products and services will change. According to PwC EMEA leaders, AI, data and technology cut across all three, and every enterprise must be able to operate and be successful in these areas.

 

Going deeper on BMR, PwC EMEA leaders noted that, according to PwC’s most recent Global CEO Survey, approximately 45% of CEOs do not believe their business will be viable in the next 10 years without reinvention, up from 39% of respondents in 2023. Not surprisingly, clients are asking for PwC’s advice on strategic planning and how to invest today to be successful tomorrow. PwC has a methodology to assist clients with their transformations, starting by sitting with clients and discussing their needs to gain a deep understanding of their design and implementation abilities and industry knowledge and co-creating an approach that is industry-led and industry-focused.

 

According to PwC EMEA leaders, the PwC BMR framework helps clients identify business growth areas, such as the development of new ecosystems and the creation of new products and services to pursue value and underpenetrated areas of revenue. For example, through a client session, PwC walked through a BMR transformation in which PwC helped create a new company from scratch following a sale of the business. Through the new business, the client sought to overcome rising cost pressures as well as crop and agricultural challenges that were disrupting its ability to deliver its products. Additionally, changing its primary delivery method to include a different product allowed the new company to focus on driving value and creating new revenue streams.

 

In a separate client example, PwC created a new platform to transform how a university engaged with prospective students. Through the platform, the university sought to advance its technology, position for the future, strengthen trust, and improve online engagement and opportunities. PwC used its BMR framework in both of these client examples, guiding the evolution of existing business environments to identify needs and pursue next steps to future-proof operations.

 

On a technology-specific note, PwC EMEA leaders highlighted the firm’s Industry Edge approach, explaining that PwC’s first step is building a differentiated way to enable transformation outcomes tailored for each industry. PwC applies data and tech assets, gathers use cases to understand the best way to make decisions, and establishes preconfigured solutions that support business transformation, all while leveraging technology alliances.

 

The key, according to PwC EMEA leaders, is that the firm provides not only a consulting approach but also all of PwC’s capabilities, including technology, regulatory, risk and even tax services. Critically, in TBR’s view, PwC is not going to clients and selling Industry Edge; instead, the firm is adapting elements of Industry Edge that are applicable to specific clients.

 

PwC EMEA leaders noted that “every day PwC follows two principles”: 1) emphasizing client centricity, which PwC and TBR both recognize sounds obvious and is not differentiating but, according to PwC, is a key to success; and 2) a one-firm approach: a global network of firms that come together to seamlessly deliver services to clients. Pursuing these initiatives enables PwC to deliver reinvention and transformation services through an industry play, leading with the right approach to drive value, cocreation and evolution services.

TBR’s expectations for PwC in 2025

In TBR’s view, PwC’s twin analyst events at the end of 2024 showed a firm shifting into a new gear, perhaps reflecting leadership changes or the changing environment for professional services as the GenAI age begins to mature and PwC’s strategic investments and its own business model reinvention begin to take shape.

 

PwC’s early epiphany around artificial intelligence centered on understanding both the necessity of accessing client data and the implication that if a client’s data were a mess, AI would be useless. The firm steadily invested in the expertise and capabilities needed to assist clients with their AI journeys, accelerating that investment when GenAI hit the market. Notably, PwC continued its deeply ingrained practice of investing substantially in its own people, bringing AI and then GenAI solutions to the firm’s professionals and leaning into the customer zero approach.

 

Now PwC is fine-tuning its own business model and looking to accelerate technology adoption, redefine (or at least continually improve) global operations and grow its Managed Services business. In TBR’s view, it is not a reinvention … yet. Critically, as PwC transforms itself the firm remains grounded in its core value to clients: trust.