Companies are doubling down on AI investments
The survey of 260 large organizations that operate globally found that companies are bullish and expect their AI investments to be worth the upfront cost.
 
The industries where respondents expect to see the most impact from AI are IT, technology and telecoms (59%), business and professional services (43%) and customer services and financial services were tied for third (32%).
 
The Top 3 challenges where businesses expect AI to drive revenue are product innovation/research and development (50%), customer service (46%) and supply chain and operations (42%). This mirrored some of the top areas of AI investment, which include customer experience (62%), product innovation (59%) and operational excellence (55%).
 
While adoption rates are high and companies expect AI to prove its worth, there is a lot of opportunity for future implementation:

• 80% of respondents report that some form of AI is already in production in their organization, although 42% say that there is lots of room for further implementation across the business.
• 30% still believe that their organization isn’t investing enough and will need to invest more in AI technologies over the next 36 months to keep up with competitors in their industry.

Challenges lie ahead for AI realization
Almost all respondents are anticipating barriers to adoption and ROI, as is the case with nearly every emerging technology. Businesses are ready to continue to invest in AI, likely because of the gains executives and IT decision-makers anticipate in cost and time savings, but lack of IT infrastructure and lack of access to talent are cited as the leading barriers. Surprisingly, business leaders are not as concerned about the impact AI and automation will have on employee morale — only 20% see this as a barrier — and even less, 19%, are worried about making a business case for AI.

• 91% expect to see barriers to AI realization, with lack of IT infrastructure (40%) and lack of access to talent (34%) leading the challenges, followed by lack of budget for implementation (30%), complications around policies, regulations and rights (28%) and impact on customer expectations (23%). By contrast, only 19% view a weak business case for AI technologies as a concern and only 20% are concerned about the impact of AI and automation on employee morale.
• Businesses anticipate about a half-and-half split between revenue increases (53%) and cost/efficiency savings (47%) from their AI investments.
• Only 28% of respondents say that their organization has enough trained people internally to buy, build and deploy AI.

How businesses are strategizing to extract ROI from AI
While executives currently rely on existing technology leaders like CIOs and CTOs to steer AI adoption and strategy, they believe the future of AI will be so relevant for creating a strategy across business practices that they will need a CAIO to coordinate and mandate implementation throughout the enterprise.

• The CIO (47%) and CTO (43%) are leading the effort today, but 62% of respondents say they are planning to hire a dedicated role — a CAIO — to lead the effort in the future.
• Companies expect a 99% ROI in the next five years for every dollar invested today and 187% in ROI over the next 10 years.
• The industries that most anticipate positive impacts are IT, technology and telecoms (59%); business and professional services (43%); consumer services (32%); financial services (32%); and manufacturing and production (31%).

What it means
Tech companies have been promising AI as a robust solution and business strategy for the past few years, and this survey shows businesses are realizing the benefits of AI adoption today.
 
Enterprises expect AI to be a technology with longevity, planning to double their investment in five years and triple it within 10 years. But, to maximize this ROI, companies realize they must re-imagine how AI will disrupt all aspects of their businesses and create a suitably agile strategy to gain ROI.