Logicalis-CIO-Report-2026 - Flipbook - Page 8
s e t tin g th e a i ag e n da
rti昀椀cial intelligence is advancing
A
at a pace unlike previous waves
of enterprise technology. What
began as experimentation has become
expectation. Boards are no longer
debating whether AI belongs in the
94% of organisations say
their appetite for AI has
increased in the last 12
months
organisation, but how quickly it can
be embedded, and what competitive
advantages can be realised. For CIOs,
that shift has moved the centre of gravity
of their role. The challenge is no longer
Yet 51% believe AI adoption
is already moving too fast
to introduce a new capability, but to
hold the line between momentum and
manageability.
where technology is advancing faster
The appetite for AI adoption has
than organisational structures can
accelerated sharply over the past year
comfortably absorb.
Logica Lis gLoBa L cio R EPo RT 2026
with almost all (94%) reporting an
8
increase. Innovation demands remain the
Yet strategic clarity has not kept pace
strongest driver, cited by 48% of CIOs, but
with enthusiasm. Fewer than half of
pressures around risk management and
organisations (46%) say their AI strategy
compliance are now almost as in昀氀uential,
is fully aligned with their wider business
being cited as a ‘primary driver’ in
plan or key performance indicators.
shaping adoption decisions for 38% of
In practice, this means CIOs are often
respondents. Early proof-of-concept
operating in a grey zone where AI
success has also acted as a catalyst, with
initiatives move forward without a fully
37% accelerating AI initiatives based on
mature framework for measuring value,
initial results.
prioritising investment or de昀椀ning
success.
This combination of ambition and
urgency places CIOs at the centre
This misalignment creates exposure.
of a new balancing act. They are
When AI activity advances ahead of
expected to move quickly enough to
business governance, the CIO inherits
sustain competitive momentum, while
responsibility for reconciling ambition
ensuring that governance, resilience,
with accountability. The risk is not that
and commercial discipline are not left
organisations invest in AI, but that
behind. The AI agenda is no longer about
they do so without a clear line of sight
identifying opportunities alone, but about
between experimentation, enterprise
regulating speed in an environment
value and long-term operating models.
