‘Neither humans nor AI are sufficient on their own’: Future-proofing operations

Businesses must weigh up a heavy processing price tag before overcommitting to technology, one expert has warned.

According to AgentSync CEO Jess Whatman, the future of work is an increasingly collaborative one as the market corrects imbalances that saw AI replacing human labour.

She said: “Most forward-thinking businesses are moving away from the idea that AI should replace people and toward a model where AI enhances human capabilities to work smarter and achieve more outcomes.”

In this way, Whatman’s vision for workplaces is that “humans harness AI in a complementary way rather than compete to perform the same function”.

AI can outperform humans, she explained, in speed, consistency, and scale due to an inexhaustible ability to analyse information, identify patterns, and perform repetitive tasks at significant speed, consistency, and scale.

Yet on the other hand, humans apply necessary and exclusive abilities in judgement, bringing understanding of context, ambiguity, and changing circumstances – thereby making complex decisions “based on experience and intuition rather than patterns in data”.

Whatman also said: “Businesses were sold a vision that AI would dramatically reduce labour costs, but many are discovering that replacing people entirely is far more expensive than they expected.”

“What’s becoming increasingly apparent is that AI’s strengths carry significant costs. Complex AI workflows consume substantial computing resources, which makes them expensive to run at scale.

“Humans remain remarkably efficient in many situations because they exercise discretion and adapt to changing circumstances without requiring constant processing power.

“As a result, the most effective workplaces are moving towards a hybrid model where AI acts as a productivity multiplier for employees.”

Whatman also addressed the major misconception that AI automatically delivers immediate benefits, with many organisations not aware of infrastructure, computing power, integration, governance, training, and ongoing optimisation requirements – not to mention the necessary investment of time.

The reality of this, she said, means many employers are focusing on technology at the expense of workflow.

She said: “There is the misconception that anyone can go ahead and run with AI. But you really need to spend that time documenting your business’s foundations first … they adopt AI platforms without first identifying where human input remains essential and where automation genuinely creates value.

“This leads to poor operation, inefficiencies, and unrealistic expectations.”

In this way, existing frameworks are also deficient in guidance framed around the practicality of integration.

“Employees are left in a position where they’re unsure when AI should be used, how outputs should be verified, and who is responsible when AI-generated recommendations influence decisions, whatever the outcome may be. Organisations have introduced AI tools without establishing governance structures that define the role of human oversight,” Whatman said.

“Policy-wise, there’s a lack of discussion on how future workplaces balance efficiency, cost, accountability, performance, and energy use.”

“AI is here to stay, but we need to use it ethically and [sustainably]. This is a conversation that [the] government and industry urgently needs to have.”

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