Malcolm Gill

This piece examines AI sovereignty as the next test of European leadership. It argues that AI is no longer a tool but core infrastructure shaping economic competitiveness, governance, and geopolitical influence. The piece explores France’s opportunity to lead the EU by pairing sovereign AI capability with execution, not just regulation. It challenges leaders to move beyond pilots, invest in European compute and data capacity, and collaborate across public and private sectors to turn AI ambition into real impact by 2026.

In today’s rapidly shifting workforce landscape, HR leaders are facing unprecedented complexity. Three challenges stand out for organizations looking to stay competitive: the need for real-time skills visibility, fostering internal mobility to retain talent, and untangling fragmented HR systems to scale efficiently.

These are no longer future goals—they are business imperatives. Here’s how forward-thinking organizations are tackling them, and why AI-powered platforms like 365Talents are at the center of this transformation.

1. Skills Visibility: The Bedrock of Workforce Agility

Traditional job descriptions are static. The modern workforce is not. Enterprises struggle to understand the actual, evolving skills within their teams—hindering agile response to market shifts or innovation demands.

Insight: Organizations that build a living, AI-powered skills architecture gain the ability to redeploy talent quickly, identify skill gaps before they become business risks, and forecast future workforce needs.

Guidance:

• Invest in platforms that automate skills detection and mapping from real-time employee data (e.g., resumes, projects, feedback).
• Move from job-based models to skills-based workforce planning.
• Ensure your talent data feeds back into learning, mobility, and performance systems.

2. Internal Mobility: The Untapped Growth Engine

According to LinkedIn, employees stay 41% longer at companies with high internal mobility. Yet many firms still overlook this lever—relying heavily on external hires and struggling with attrition.

Insight: The war for talent is not just about attraction, but activation. Your best candidates for open roles likely already work for you.

Guidance:

• Launch talent marketplaces that match employees to projects, gigs, and learning paths based on skills and aspirations.
• Reframe mobility as a strategic tool for both retention and engagement.
• Train managers to have career conversations and recognize cross-functional potential.

3. HR System Fragmentation: A Barrier to Scale

From ATS to LMS to performance tools, most enterprise HR stacks resemble a patchwork. The result? Redundant data, inconsistent experiences, and analytics gaps that make strategic decisions difficult.

Insight: A unified talent experience doesn’t require ripping and replacing legacy systems. It requires smart integration and data orchestration.

Guidance:

• Choose systems that integrate easily with your existing HRIS platforms (Workday, SAP, Oracle).
• Focus on APIs and AI tools that unify your data layer and enhance user experience.
• Shift from system-centric to employee-centric HR tech design.

Final Thoughts

In an era of constant change, the organizations that win will be those that see talent not as a cost center, but a dynamic ecosystem. Addressing these three challenges—skills visibility, internal mobility, and HR fragmentation—requires a bold shift, not just in tools but in mindset.

Whether you’re a CHRO, a digital transformation lead, or a talent strategist, now is the time to act. Your workforce is ready. Is your HR tech stack?

Want to continue the conversation? Follow me on Thinkers360 or connect via Linkedin to discuss how AI and skills intelligence are reshaping the future of work.

How Leading Companies Are Using AI Without Losing What Matters Most

Companies are adopting AI in recruitment to reduce friction, speed up processes, and identify top talent more efficiently. But as the tools get smarter, the best recruiters are asking better questions:

• Where does AI add real value?
• Where does it risk breaking trust?
• How do we keep people at the center of hiring?

Let’s break it down.

Where AI Helps Most

AI already plays a valuable role across several recruiting functions:

• Resume screening: Platforms like HireVue and Pymetrics analyze resumes and candidate data to surface relevant applicants faster.
• Scheduling interviews: Tools like GoodTime and Calendly automate logistics.
• Personalization at scale: Generative AI platforms can write first-draft outreach messages tailored to a candidate’s background.

Used well, these tools help recruiters focus more on relationships and less on repetitive tasks.

According to an MIT Sloan study, companies that use AI to support, not replace, human decision-making see higher employee satisfaction and better long-term hiring outcomes.

(Source: MIT Sloan Management Review)

Why Human Interaction Still Wins

The HR Brew article makes this clear: even as automation improves, candidates want real connection.

Bonnie Dilber, recruiter at Zapier, said it best:

“People want to feel like someone actually read their resume.”

That sentiment shows up in key areas:

• Candidate outreach: AI-generated messages can fall flat without human review.
• Interviews: Candidates often gauge culture fit and team chemistry during early conversations.
• Offer stage: Trust and transparency matter most when candidates weigh competing options.

Automation can’t replace the empathy, nuance, and intuition that experienced recruiters bring.

Examples of Balanced AI + Human Recruiting

Here are two examples from companies doing it well:

1. Unilever

They use AI-based games and assessments to evaluate applicants’ cognitive, emotional, and social traits.

But they pair this with video interviews that real recruiters review and discuss.

Result: 90% time saved in early-stage screening with higher quality final candidates.

2. Cisco

Their talent team uses predictive analytics to identify potential internal mobility candidates.

But career conversations and role-matching decisions are always handled by people.

Result: Greater internal mobility and employee satisfaction.

AI for Development, Not Just Hiring

AI’s role doesn’t end with recruitment.

Once employees are hired, companies like Degreed and 365Talents use AI to:

• Recommend personalized training paths
• Surface internal opportunities based on evolving skills
• Match mentors to mentees across geographies

These systems improve retention by making career growth more visible and accessible.

74% of workers say they would stay longer at a company if they had better internal career options.

(Source: LinkedIn 2024 Workplace Learning Report)

What Leaders Should Watch Out For

1. Bias in training dataAI can replicate past hiring patterns if not actively audited.
2. Impersonal candidate experiencesRelying too much on automation can lead to disengagement or mistrust.
3. Lack of transparencyCandidates want to know how AI is used in decisions about their careers.

The Bottom Line

AI is a powerful accelerator, not a replacement.

When used with intention, it frees recruiters to do what they do best—build relationships, assess fit, and help people find meaningful work.

The future of recruiting isn’t just smart.

It’s human + AI, working together.

Malcolm Gill is the Sales Director for Launch by NTT DATA.

AI is transforming HR in ways that are both exciting and deeply personal. As someone who’s spent years navigating the challenges of hiring, developing, and retaining talent, I’ve seen firsthand how AI can shift the burden from reactive firefighting to proactive, people-first strategy.

Let’s explore how AI is making a measurable difference across four key HR areas: talent acquisition, training, retention, and talent management.

1. Talent Acquisition: Faster, Fairer, Smarter

Hiring used to be a grind. Now, AI tools are helping recruiters move faster and with more confidence.

• Resume screening: AI can process thousands of applications in minutes, identifying high-fit candidates based on skills, experience, and even cultural alignment.
• Bias reduction: Platforms like HiredScore use AI to flag and mitigate unconscious bias, helping teams build more diverse pipelines .
• Time and cost savings: Companies using AI in recruiting report up to 34% faster hiring manager reviews and a 25% increase in recruiter capacity.

The result: less time spent on manual tasks, more time building relationships with top candidates.

2. Training and Upskilling: Personalized, Not Prescriptive

Generic training programs don’t cut it anymore. AI helps you deliver learning that’s timely and relevant.

• Skill-gap analysis: AI identifies what employees need to learn next, based on their roles and career goals .
• Adaptive learning: Platforms adjust content in real time, keeping learners engaged and on track.
• Career pathing: Employees get personalized development plans, increasing satisfaction and retention.

In short, AI makes learning feel less like a checkbox and more like a growth opportunity.

3. Retention: Seeing Risk Before It’s Too Late

Losing great people is costly. AI helps you spot warning signs early.

• Predictive analytics: AI analyzes performance reviews, engagement surveys, and more to flag employees at risk of leaving—with up to 30% accuracy .
• Sentiment analysis: Natural language processing tools scan feedback channels to detect morale dips.
• Proactive interventions: Managers receive alerts and suggestions to re-engage employees before they walk out the door.

This isn’t about surveillance—it’s about support. AI gives HR the tools to act with empathy and foresight.

4. Talent Management: Real-Time, Data-Driven Decisions

AI helps you understand your workforce in ways that were previously impossible.

• Skills mapping: AI creates dynamic profiles of employee capabilities, helping you deploy talent where it’s needed most .
• Internal mobility: Tools like Workday’s HiredScore AI for Talent Mobility recommend internal opportunities to employees, boosting engagement and reducing turnover .
• Workforce planning: AI forecasts future talent needs, enabling strategic hiring and development.

By turning data into insights, AI empowers HR to make smarter, faster decisions that align with business goals.

Final Thoughts

AI isn’t about replacing HR professionals—it’s about enhancing our ability to connect with people and make informed decisions. By embracing AI, we can create more responsive, inclusive, and effective HR practices.

If you’re considering integrating AI into your HR strategy, start by identifying areas where it can alleviate pain points and enhance your team’s capabilities. Focus on tools that align with your organization’s values and goals.

Remember, the goal is not to automate away the human element, but to free up time and resources so you can focus on what truly matters: supporting and developing your people.

Malcolm Gill is the Sales Director for Launch by NTT DATA.

Tsinghua University’s launch of Agent Hospital—an AI-powered virtual healthcare system—signals a profound leap forward in digital medicine. Simulating patient journeys across 21 departments, and achieving a diagnostic accuracy rate of 93% on the MedQA benchmark, this platform doesn’t just promise efficiency; it invites us to reimagine care itself.

But with that promise comes responsibility.

As someone who’s been interested in exploring how generative AI and digital platforms can unlock new levels of enterprise performance, I see Agent Hospital as both a case study in innovation and a call for ethical clarity.

We’re not just building smarter systems—we’re building systems that will shape human lives, health outcomes, and the trust we place in technology.

Three Ethical Imperatives for AI-Powered Healthcare:

1. Data Privacy Isn’t Optional: AI can only be as trustworthy as the data it protects. Patient privacy must remain non-negotiable. As these systems scale, robust, transparent data governance must be embedded by design—not as an afterthought.

2. Bias in, Bias Out: We know AI reflects the data it’s trained on. If we don’t account for underrepresented populations or diverse symptom expression, we risk perpetuating disparities in access, diagnosis, and outcomes. Equity needs to be engineered into the foundation.

3. Human Oversight is Non-Negotiable: AI should be a partner to healthcare professionals—not a replacement. Empathy, ethics, and intuition remain uniquely human capabilities. Agentic AI must complement those qualities, not attempt to replicate them.

What excites me about Agent Hospital isn’t just the scale or technical precision—it’s the chance to design systems that center humanity even as they transform it. Let’s make sure we’re building the future of healthcare with the full weight of our ethical imagination.

Because the question isn’t just what AI can do in healthcare. It’s what we’re willing to be responsible for.

Location: Los Angeles, CA.    Fees: DETERMINED POST-DISCOVERY

Service Type: Service Offered

Location: Los Angeles, CA.    Fees: DETERMINED POST-DISCOVERY

Service Type: Service Offered

Location: Los Angeles, CA.    Fees: DETERMINED POST-DISCOVERY

Service Type: Service Offered