AI bubble cools as HR shifts to outcomes & new roles

AI investment, workforce strategy and HR technology are expected to undergo a marked shift in 2026 as business leaders move from experimentation to measurable outcomes and tighter integration with core systems, according to senior executives in software and human resources.

They point to a likely cooling of AI valuations, the emergence of new leadership roles such as Chief Artificial Intelligence Officer, and a greater focus on AI's impact on people's strategy, risk, and productivity rather than on content generation.

Bubble concerns

Dr John Bates, Chief Executive at SER Group, drew parallels between current AI exuberance and the dot-com era.

"The concern around a bubble comes largely from the well-known issue of cyclical investments, and there are some extraordinary valuations out there based on the expectation that AI will deliver radical business value and major transformation."

"But while these outcomes will certainly happen in the long-term, in the short-term, we have to see this as more of a dot com bubble, a period I had the interesting experience of working through myself. At the start of that era there were something like 200,000 Web start-ups, and after the dust settled, arguably only a handful of companies, like Facebook and Google, grew into the giants we know today."

"What struck me, even at the depths of the dot-com crash and the subsequent financial recessions, was that software continued to be bought and used, albeit at lower volumes, as people could still get incremental value out of it. The same is true for AI: tools that work and move the financial needle will continue to be adopted and used," said Bates.

Bates expects investors to take a more cautious view of AI-focused firms if revenue traction does not match current pricing. At the same time, enterprise buyers continue to fund deployments that show direct financial benefit.

New AI leadership

Bates also forecast a distinct executive role dedicated to AI strategy and governance, separate from traditional IT leadership.

"As AI becomes more strategic, it's becoming clear that it's very non-deterministic, a fancy computer science way of saying it could say one thing at 9 am and something completely different after lunch. No real business can work like that. For AI to be more than a toy, it really has to be embedded in your company's proprietary and protected institutional 'memory.'"

"To truly take off, I predict we'll soon see leaders whose sole focus is managing AI-not just IT or Digital, but someone 100% dedicated to wrangling and overseeing all AI initiatives and ensuring a business ismaximizingg AI's benefits. It could be a hugely important role to aspire to: step forward the Chief Artificial Intelligence Officer. In fact, I have just appointed one at SER," said Bates.

This anticipated role would oversee how AI tools access corporate data, establish reliability standards, and coordinate AI projects across departments.

Document systems

Bates said the next phase of enterprise AI will depend on integration with established document and content systems rather than stand-alone tools.

"But to become transformative and actually generate real savings and profits, the AI that does survive any crash will have to be deeply integrated with core business systems. It has to run across these systems to uncover value and generate actionable business insights. That means tapping into your corporate knowledge bank and data, which are in your documents, invoices, memos, PPTs, Word files, and PDFs."

"I believe 2026 will be a huge year for proven technologies like AI-powered Intelligent Data Processing (what I call 'AIDP'). Acting as a connector between business information and capable AI, AIDP will start to break even as an investment by delivering tangible value," said Bates.

Enterprises are expected to use such approaches to link large language models with structured and unstructured data held in existing repositories.

HR and fraud focus

AI applications in HR and cyber fraud detection are likely to expand, according to Bates.

"2026 is shaping up to be a big year for two areas of business that haven't yet felt the full impact of AI: HR and Cyber fraud. In HR, we will see AI agents curating CVs, shortlisting candidates for hiring managers, running KYC checks, monitoring high-potential employees, and spotting early signs that people might be considering leaving that you don't want to lose. Meanwhile, your competitors will be using AI to scan LinkedIn and social media to lure talent away."

"Right on the heels of HR, AI will make a practical difference in your cyber fraud defence systems. The scale and speed that properly configured AI can deliver may be your only realistic hope of combating the flood of deepfakes. As fraudulent content now appears so believable, generative AI worsens data security risks. It's going to become a very tense battle between our 'good' AI and their 'bad' AI," said Bates. Organisations are expected to use AI for tasks such as CV screening and employee risk indicators, while also deploying it to verify the authenticity of media and transactions," said Bates.

Outcomes in HR

Amy Cappellanti-Wolf, Executive Vice President and Chief People Officer at Dayforce, said HR leaders will place more emphasis on measurable AI outcomes across the employee lifecycle.

"As organisations move beyond experimentation, 2026 will be the year of outcomes for AI. The focus will shift from potential to performance and real measurement of business results across operations, talent acquisition, and employee engagement. For HR leaders, this means putting rigour around AI ROI to assess how intelligent automation, predictive analytics, and personalised talent experiences directly impact retention, productivity, and growth."

She said HR teams will be expected to quantify efficiency gains and people metrics attributable to AI deployments.

"As companies embrace AI as a business enabler, HR will be at the centre of measuring its impact. From accelerating hiring with predictive insights to reducing attrition through data-driven workforce planning, AI will help leaders make smarter, faster, and more informed decisions. The organisations that win in 2026 won't just deploy AI, they'll quantify its value. HR teams that establish clear metrics for outcomes, including cost efficiency, employee engagement, and performance impact, will strengthen their strategic position and demonstrate how people strategy drives organisational performance," said Cappellanti-Wolf.

Skills over headcount

Niki Armstrong, Chief Administrative and Legal Officer at Pure Storage, expects a shift in how companies assess workforce needs and careers, with more emphasis on capability and learning speed.

"In 2026, the conversation around AI in HR will finally shift from "What if...?" to "What now?" The rise of AI has pushed HR leaders into the centre of enterprise transformation - they are the ones designing the change, upskilling the workforce, and helping organisations hire for the capabilities needed to thrive. And the HR function is transforming alongside AI, and the coming year will be defined by strategic AI adoption to enhance the employee experience and improve productivity."

"As AI becomes more widely adopted, HR leaders have the rare opportunity to reduce bias in hiring, scale risk mitigation, deliver more personalised employee experiences, and accelerate employee growth. The key to success will not be AI alone. It will be the combination of AI plus ethical guardrails, transparency, trust, and privacy protection. Sustainable innovation requires all four," said Armstrong.

Armstrong said leadership attention will move away from organisational size as a proxy for performance.

"In 2026, business leaders will move away from obsessing over team size and start optimising for skills, adaptability, and learning velocity - the speed at which employees can take on and excel at new tasks. Headcount will no longer be a proxy for productivity - capability will be the new currency. Organisations will embed learning directly into their business strategy, treating curiosity and continuous reinvention as competitive advantages. Those that win will be the ones that nurture "portfolios of reinvention" - employees who constantly upskill and pivot with market needs. We will stop asking "How big is your team?" and start asking "How fast can your team learn?"

She also expects hiring and promotion criteria to place more weight on potential and adaptability.

"Traditional credentials and rigid experience requirements will continue to erode in relevance. Instead,organizationss will hire - and promote - based on growth capacity, infinite curiosity, and adaptability. "Portfolio-style" careers, built around reinvention and learning agility, will hold more weight than linear career ladders. Ladders will give way to lattices - dynamic, skill-based pathways thatprioritizee breadth of knowledge. Career progression will be defined by mobility across teams and functions rather than titles. Microlearning, rapid experimentation, and manager as-coach models will accelerate this cultural shift. Employees won't be judged on how long they've been in a role but on how boldly they grow into the next one," said Armstrong.

AI fluency and ethics

Armstrong says AI competence is now a baseline expectation across most roles, supported by continuous governance.

AI is becoming central to every function, including HR, and both employers and employees will need to adapt. Three major trends are emerging:

1. AI fluency becomes essential.
By 2026, not knowing how to prompt, validate, or interpret AI outputs will be as limiting as not knowing how to use email. Competence - not mastery - will be expected in every role. Training will shift from basic tool use to critical thinking, interpretation, ethical reasoning, and the ability to spot bias or hallucinations. The most effective employees will treat AI as a thought partner, not an autopilot.

2. HR becomes augmented, not automated.
AI will streamline recruiting, compensation analysis and employee experience, but humans will still be required for nuance, intent and values. HR teams will use AI to improve equity, consistency, and foresight, supporting leaders in making faster and fairer decisions. The focus will shift from perfection to agility and constant improvement.

3. Ethical governance becomes always-on.
To protect against bias, organisations will embed ethics at the design stage rather than retrofitting it later. Continuous AI governance will become the norm, ensuring fairness, compliance and transparency from day one. AI will also help navigate region-specific legislation and ethical requirements.

"AI will enable real-time coaching signals, turning annual reviews into continuous development conversations. Managers will get nudges, insights, and pattern recognition that help them support employees - not judge them months after the fact. It's the shift from judgment to growth - and the kind of leadership employees remember long after the review cycle ends. Or, in true Niki style: Annual reviews won't disappear but they'll finally stop behaving like archaeological digs of things we should've said months earlier." said Armstrong.