Insight

Artificial Intelligence Update

Read more about M&A activity and trends in this sector here

Roderick (Roddy) Moon

Roderick (Roddy) Moon

Managing Director, KPMG Corporate Finance LLC

+1 617-548-4904

AI: Sector Update

Key theme: AI Goes To Hollywood

  • Hollywood and the broader entertainment industry involving the creative arts, such as gaming, will likely be a fast adopter of generative AI’s capabilities. Activities ranging from editing background images to generating high fidelity content have the potential to be accelerated forward from a timing perspective and reduced from a cost standpoint. As production budgets decrease with the increased use of AI, more stories will be able to be told across film and television, which should, counterintuitively, heighten demand for the writers and creators of stories.
  • “Our partnership with CAA comes from focusing on using this technology in really interesting ways at the forefront of entertainment, but it’s also focused on how we can empower individual people. In this case, it enables actors to own and control their data from the real world—their hyperreal identities [the biometric AI model made of photographic information captured in extremely high definition.] … It’s really going to change the way in which we create content, period, because ultimately using generative AI is a hundred times cheaper than using 3D modeling and traditional VFX and CGI and all that. Ultimately, it’s going to be cheaper than setting up a camera.” – Tom Graham, (Co-Founder & CEO, Metaphysic.ai), Fast Company, “AI will destroy Hollywood as we know it,” 4/19/2023.
  

Key theme: AutoGPT + Enterprise SaaS

  • Leading investor Chamath Palihapitiya predicts that enterprise SaaS development can be executed at 1/10th the cost due to the capabilities that AI tools such as AutoGPT have unleashed.  Similar to how cloud-based SaaS was a major disruptive trend for the past two decades in the world of software, a plethora of startups activity will potentially be let loose by the convergence of generative AI such as OpenAI’s GPT, APIs into those state-of-the-art AI models, and apps such as Auto-GPT, which break down major large goals into sub-tasks and execute those tasks autonomously.
  • “… the real goal should be to go and disrupt existing businesses using these tools cutting out all the sales and marketing right and just delivering something.  And I use the example of disrupting Stripe by going to market with an equivalent product with one-tenth the number of employees at one tenth the cost.  What's incredible is that this Auto GPT is the answer to that exact problem.  Why because now if you are a young industrious entrepreneur, if you look at any bloated organization that's building enterprise class software you can string together a bunch of agents that will auto construct everything you need to build a much much cheaper product that then you can deploy for other agents to consume so you don't even need a sales team anymore …” – Chamath Palihapitiya (Founder & CEO at Social Capital), All-In Podcast, Ep. 124, 4/14/2023.
  

Key theme: Enter The Regulators

  • Some elite venture investors, such as Chamath Palihapitiya, are also calling for the United States government to regulate AI.  Their view is that with development cycles that appear to be every few days, on a compounded basis, AI models interacting with each other will be have the potential for significant disruption in the hands of bad actors.
  • “If you invent a novel drug, you need the government to vet and approve it (FDA) before you can commercialize it.  If you invent a new mode of air travel, you need the government to vet and approve it (FAA) before you can commercialize it. If you create a new security, you need the government to vet and approve it (SEC) before you can commercialize it. More generally, when you create things with broad societal impact (positive and negative) the government creates a layer of review and approval.  AI will need such an oversight body. The FDA approval process seems the most credible and adaptable into a framework to understand how a model behaves AND its counterfactual. Our political leaders need to get in front of this sooner rather than later and create some oversight before the eventual/big/avoidable mistakes happen and genies are let out of the bottle.” – Chamath Palihapitiya (Founder & CEO at Social Capital), Twitter, 4/11/2023.


We hope you find this information valuable, and as always, feel free to reach out if you would like to discuss in further detail. To read the full report, download the PDF below. Footnotes and sources are noted in the deck.

OpenAI’s DALL E Responses To Prompts

  

XM^2’s Landscape Encompasses Previously Divergent Specialties

CX + SX + DX + EX Is On A Collision Course to Create XM^2 And MX Is Going To Disrupt The Four Spheres Even Further

Customer Experience (CX)

  • Messaging replacing the need for most surveys and reviews use cases
  • CX TAM is $60 billion1
   

  

Social Experience (SX)

  • Passive data gathering and social listening will be disrupted by active conversations with prospective, existing, and former customers
  • SX TAM is $50 billion+4

  
   

Messaging Experience (MX)

  • Total Addressable Market in 2022 is $60 billion5
 
 

 

  

 

Experience Management^2 XM^2

 

  

   
  • The next level of XM will incorporate MX across the key XM categories and grow to look more like a trusted AI advisor, than a disparate data gathering, crunching andeporting system
   

Digital Experience(DX)

  • Messaging augmenting and eventually become the best-in class version of website and online search
  • DX TAM is $25 billion3

  

Employee Experience(EX)

  • Always on messaging capabilities to neutral AI have the potential to collect dramatically more and in real-time feedback from employees
  • EX TAM is $10 billion2
  

Experience Management^2 XM^2  

Customer Experience (CX)

  • Messaging replacing the need for most surveys and reviews use cases
  • CX TAM is $60 billion1

Social Experience (SX)

  • Passive data gathering and social listening will be disrupted by active conversations with prospective, existing, and former customers
  • SX TAM is $50 billion+4

Messaging Experience (MX)

  • Total Addressable Market in 2022 is $60 billion5
   
  • The next level of XM will incorporate MX across the key XM categories and grow to look more like a trusted AI advisor, than a disparate data gathering, crunching andeporting system

Digital Experience(DX)

  • Messaging augmenting and eventually become the best-in class version of website and online search
  • DX TAM is $25 billion3

Employee Experience (EX)

  • Always on messaging capabilities to neutral AI have the potential to collect dramatically more and in real-time feedback from employees
  • EX TAM is $10 billion2
   

Customer Experience (CX)

  • Messaging replacing the need for most surveys and reviews use cases
  • CX TAM is $60 billion1

Social Experience (SX)

  • Passive data gathering and social listening will be disrupted by active conversations with prospective, existing, and former customers
  • SX TAM is $50 billion+4

Messaging Experience (MX)

  • Total Addressable Market in 2022 is $60 billion5


Experience Management^2 XM^2
 

  • The next level of XM will incorporate MX across the key XM categories and grow to look more like a trusted AI advisor, than a disparate data gathering, crunching andeporting system

Digital Experience(DX)

  • Messaging augmenting and eventually become the best-in class version of website and online search
  • DX TAM is $25 billion3

Employee Experience (EX)

  • Always on messaging capabilities to neutral AI have the potential to collect dramatically more and in real-time feedback from employees
  • EX TAM is $10 billion2

Footnotes

Sources: CapitalIQ, Company filings, Pitchbook

Notes:

  1. CX TAM is from Qualtrics’ Q3 2022 investor presentation
  2. EX TAM is from Technavio and Momentive’s August 2022 investor day presentation
  3. DX TAM is from Grandview Research and Yext’s March 2021 investor day presentation
  4. SX TAM is from Sprout Social’s Q4 2020 investor presentation
  5. MX TAM is from LivePerson’s Q3 2022 investor
  6. TAM stand for Total Addressable Market


We hope you find this information valuable, and as always, feel free to reach out if you would like to discuss in further detail. To read the full report, download the PDF below.

Technology

A consistent technology stack coordinates data collection, integration and management, enables teams to perform high quality real-time customer analytics, and effectively collaborate and consume those insights through integration with business processes

Storage & Integration | Collaboration & Consumption

    

Organization

A globally aligned operating model coordinates activity to avoid duplication, share learnings, insights and models, and build digital literacy across the regions.                                                                             

Structure & Roles | Expertise & Fluency

    

    

 

Experience Management^2 XM^2

 

Strategy

The organization shares a vision for advanced analytics, drives a data-driven culture, and prioritizes the work to remain laser focused on the customer, while also executing consistently and at high quality across all regions.

Vision & Culture | Execution & Alignment

   

Data

Internal and external data required to understand customer needs and issues are collected, made accessible to the right teams, and are maintained at high quality.

Policies & Access | Management & Quality

    

Insights

Models and analytics are monitored to ensure value delivery, effective business process implementation, and appropriate governance, risk and controls.

Scalability & Controls | Value & Usability

Contact us

Joe Mathew
Vice President  |  TMT Investment Banking
KPMG Corporate Finance LLC
Contact: +1 617-548-4527

Jacquie Litwin
Senior Associate |  TMT Investment Banking
KPMG Corporate Finance LLC
Contact: +1 464-206-9346

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