AI in Publishing: Big Expectations, Slow Results?

A recent survey reveals a significant disconnect between publisher expectations and the actual results achieved with artificial intelligence, despite growing adoption rates. While most publishers are experimenting with or actively implementing AI, a substantial portion are struggling to realize the anticipated benefits, particularly in areas of revenue and cost savings.

The survey, conducted by Pugpig’s App Strategy and Industry Insights Director Kevin Anderson, found that 49% of publishers are in the initial stages of AI implementation, with a further 30% increasing their usage. However, only 13% classify their AI use as “advanced.” A mere 8% haven’t begun exploring AI at all.

The biggest hurdle isn’t a lack of interest, but a shortage of skilled personnel – 60% of respondents cited a lack of technical talent as the primary challenge. Other significant obstacles include maintaining editorial control and accuracy (56%), navigating ethical and legal concerns (50%), integrating AI with existing systems (48%), budgetary and resource limitations (43%), and uncertainty regarding return on investment (34%).

The data paints a clear picture of unmet expectations. A large majority of publishers believe AI is important for time savings (84%), boosting productivity (82%), and improving user experiences (74%). Yet, the percentage reporting actual, current helpfulness is considerably lower – 59% for time savings, 47% for productivity, and a mere 27% for user experience improvements.

The gap is even wider when it comes to commercial outcomes. While 73% see potential in AI for cost savings, only 19% are currently realizing those savings. Similarly, 60% believe AI could increase revenue, but only 13% are seeing positive results.

Measuring the value of AI investments is proving difficult, with 91% of respondents reporting challenges in this area. Despite these difficulties, a majority (57%) still believe their AI investments are justified.

This survey highlights a crucial point: simply adopting AI isn’t enough. Publishers need to address the skills gap, carefully consider ethical implications, and develop robust methods for measuring ROI to truly unlock the potential of this technology. The initial enthusiasm is clearly present, but sustained success will require a more strategic and data-driven approach. It’s a cautionary tale – innovation requires not just investment, but also careful planning and realistic expectations.