Industry executives and experts share their predictions for 2025. Read them in this 17th annual VMblog.com series exclusive. By Mo Cherif, Senior Director of
Generative AI at Sitecore
2024 was marked
by a significant growth in adoption of different trendy technologies - from GenAI
to sophisticated AI-powered chatbots, these rapid innovations are not slowing
down.
2025 will be a
year of widespread AI adoption and unparalleled opportunities across
industries. One thing that is clear is that we will see a better understanding
of the added value the technology brings. For marketers especially, the
technology will have a more direct impact on how to increase ROI and improve
digital experiences.
As MarTech
continues to evolve, we can anticipate a dynamic landscape with shifts across
workflows and routine tasks. To answer the new demands and needs of the
workforce there are a few major trends to watch and reassess in the new year to
accelerate business outcomes.
The Real Starting Point for Agentic AI Becoming Mainstream
With agentic AI, individual agents will
focus on specific capabilities. Each agent can do a specific task and do it
well. These agents work together to achieve a common goal, so think of it as
just like a team. You have a team of multiple people with different skills, and
these teams are also structured - there are capabilities also shared across
different teams - this is how agentic AI also works.
Agentic really mimics how we, as
humans, work. It follows the idea of binding the human abilities and AI agents'
capabilities together. Essentially, humans get to do what they do best, which
is focusing on creativity and innovation, while AI does more of the grunt work.
This includes data crunching and sorting through data much faster for example.
Although agentic AI is not ready today, I believe it will start to be
proactively applied in 2025, especially as organizations are investing in it
and testing the potential ROI. They see that the AI models are advancing fast
enough to cater to their goals.
AI will impact Modern Day
Workflows Directly
AI
is now integrated into every industry, and their workflows, so we can expect
major changes in the way marketers work. I see two specific aspects where AI
will have a major impact: how experience is going to be activated and how
traditional marketing work gets done.
As marketing budgets shrink more and more
every year, the expected outcomes do not decrease. AI can help across the whole
content life cycle and - in fact - across the whole marketing life cycle.
We've seen glimpses of AI creating content
variance, even grounded by a specific brand during 2024, but as the new year
approaches, adaptation for brand and authors' voices, tones, nuances of topics
will go far beyond what we've seen before. Advanced AI tools are about
optimization, rather than just supporting one task (e.g., mere content drafts)
these will focus on orchestration. Ultimately, while teams focus on the tasks
or jobs to be done, AI has deliverables, and then each deliverable can have a
set of subtasks, which can be assigned to humans or AI agents. This will be the
initial time for real-world human-machine collaboration.
Reassessing the Chatbot Era, Worth
The Investment?
Once generative AI was introduced, everyone
raced to build their own chatbots. We saw this across industries - especially
in retail, healthcare and travel - but we've already started to see the
conversation and quick adoption of GenAI chatbots slow down and I expect that
to continue.
One reason being a lack of trust for
both companies and their customers. Customers do not trust that chatbots will
give them accurate information, and in some cases, they do not feel comfortable
sharing personal information with an AI-powered tool. Companies also do not
trust AI to provide accurate, unbiased one-on-one interactions with their
customers. GenAI does a great job of sorting, storing and filtering through
mass amounts of data, but we have not reached a place where businesses are
willing to give up their brand ownership to AI.
If we're building something that people have
not adapted to yet, it is just not going to work. In theory, the concept of
chatbots sounds very interesting, but we've seen over and over and over again
that people just don't trust AI chatbots in a lot of use cases.
AI continues to
pave the path for transformation, but there is a lot still to come for digital
experience. Organizations will need to invest in technologies that answer their
unique needs, rather than falling for the next shiny thing - as we saw with all
the underperforming chatbots created in 2024.
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ABOUT THE AUTHOR
Mo is the Senior Director of AI at Sitecore. With over 15
years of experience in the technology industry, he is a seasoned and visionary
product strategy leader who specializes in digital experience and generative
AI. In his role, he helps define and execute the product vision and roadmap,
identify market opportunities and user needs, and manage the product lifecycle
from ideation to launch. Prior to Sitecore, Mo held roles at DoZen and
ITWORX.