
While machine learning and AI have
existed in many forms for decades,
generative AI is far newer and its
widespread availability and rapid
development make it an important
trend in every market.
The scale of investment in this area
is also unprecedented. Analysts
estimate that the four largest US
technology companies spent $200bn
on AI research and development
in 2024.
Generative AI has the potential to
influence parts of our market and the
way we work, creating commercial
opportunities and efficiency benefits
as well as changes that we will continue
to monitor and respond to.
We are actively engaged in the
application and deployment of AI, as
we talk to further on pages 29 and 37.
For example, large language models
are being used as primary research
tools and to summarise specialist
content. Trusted, high-quality content
is critical for further advancing these
models, and we have entered several
data-access partnerships with leading
providers that help train large language
models. We are also using AI’s
capabilities to analyse large data sets
and find trends in our data-driven
services and marketing activities.
We serve the growing AI community
through dedicated brands including AI
Summit brand pictured left and a new
journal – the Journal of Psychology and AI
– launched in 2024 to cater to the
emerging study of human interaction
with AI. Industry-specific content on AI
is included in many of our brands to
help our customers keep learning too.
The world is becoming better
educated, with more people entering
higher education, studying at graduate
and post-graduate levels, and pursuing
further qualifications. This trend puts
the market for trusted knowledge and
expert research in structural growth.
Higher educational levels mean there
are more researchers at universities
and institutions working on new
discoveries, and more researchers
submitting their findings for
publication to share their knowledge
and progress in their careers.
Equally, there is consistent demand
from other researchers, institutions
and a range of industries for original
and verified research that they can
build on and apply to innovation and
product development.
Research output and demand have
become more globally spread as
countries expand access to higher
education over time. China and India
are now among the top three countries
for scientific and engineering research
publication, along with the US.
This is the market Taylor & Francis
addresses. We have a long-standing
focus on expanding our depth of
research and supporting researchers
all over the world, with significant hubs
in India, China and the US. Over the last
ten years, we have enhanced our
production capabilities to support
growing research volumes and improve
the ease of publication. We have also
invested in AI, data, technology and
our platforms to make the knowledge
we publish discoverable and to
maximise its impact.
The research world is diverse and there
are several ways that the publication of
research is funded.
In many cases, individual libraries,
consortia of libraries, research
institutions and corporates will have
annual or multi-year subscriptions to
access research. This is often called a
pay-to-read model and, most recently,
the Indian Government launched a One
Nation, One Subscription scheme that
enables more of its institutions and
students to access expert knowledge.
In other cases, universities, institutes
or governments will fund research and
its publication upfront, making it
widely available to read on an open
access or pay-to-publish basis. There
are also read and publish approaches
and transitional models which blend
several elements.
Preferred models can vary depending
on the country as well as the research
subject matter. Scientific and medical
research is more likely to receive open
access funding than humanities
knowledge, for example.
This range is an increasingly embedded
feature of the market. For many years,
our response has been to work flexibly
with partners and support a range of
approaches, all the while maintaining
the continuous investment that
research verification, enrichment,
indexing and discoverability requires.
We have also built out our platforms
and services to support the specific
needs of open research, where, for
example, speed of publication as well
as quality is particularly important.
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