Security readiness has emerged as the single biggest obstacle to AI adoption and innovation, according to a new Linux Foundation report.
The warning, specifically, is about the widening gap between ambitious deployment plans and the ability to secure them.
“67% of respondents report pressure from leadership or market dynamics to accelerate AI deployment, even when security concerns are raised.”
We love AI, but there’s this little problem: We’re awful at securing it. According to cybersecurity firm Trend Micro’s latest report, Securing the AI-Powered Enterprise, “67% of respondents report pressure from leadership or market dynamics to accelerate AI deployment, even when security concerns are raised.”
— The Linux Foundation (@linuxfoundation) May 18, 2026AI is fueling technical job growth. Yes, you read that correctly. The 2026 State of Tech Talent report released today finds that net hiring is projected to increase by 31% this year, including an 8% boost for entry-level IT roles.
Read the full report: https://t.co/wKTN5FkFmw pic.twitter.com/3QjbnqMk8B
What’s a company to do? Well, according to Linux Foundation Research‘s 2026 State of Tech Talent Report, released this week at the Open Source Summit North America in Minneapolis, the answer most companies are turning to is to both hire new security-aware staffers and to upskill to close their AI and security capability gaps.
The report finds that 57% of organizations prioritize upskilling existing staff as their primary response to talent shortages, ahead of hiring new technical staff, which 49% highlight as a main strategy. A striking 94% of respondents say upskilling is important, very important, or extremely important.”
This is being driven by companies realizing that, as they start deploying AI into production, they must lock down and secure their services. The report found that security and privacy concerns have nearly tripled over two years, rising from 17% in 2024 to 48% in 2026, and are now the top barrier to AI adoption. At the same time, 97% of organizations say they are committed to implementing AI, even though 57% report a “significant capacity gap” in security and risk management.
That disconnect is reflected deeper in the numbers. 48% of organizations now cite security concerns as the top obstacle to AI, and 43% say those concerns are actively preventing them from realizing value from AI projects. Those worries rank ahead of cost management (36%), general skills shortages (34%), and legacy system limitations (30%). 40% of respondents also say they are understaffed in cybersecurity and compliance, compounding the challenge of securing fast-growing AI estates.
A security readiness crisis
This means we’re now in a “security readiness crisis” rather than a simple tooling problem. The Linux Foundation’s research, conducted with KodeKloud, LF Research, and Linux Foundation Education, concludes that the limiting factor for AI success is not the availability or price of AI tools, but organizations’ ability to secure and operationalize them.
Across the stack, respondents highlight capability gaps: 57% report deficits in AI security and risk management, 57% in AI operations and monitoring, 54% in cost optimization, and 45% in AI infrastructure expertise. The picture is one of organizations racing to deploy AI into production without a matching investment in the people and processes required to manage ongoing risk.
The Linux Foundation Research, along with its research partners the Linux Foundation, LF Education, and KodeKloud, aren’t the only ones who see this. HackerOne also reports we’re in an “AI security gap.” This is because, while almost everyone is deploying more AI systems than a year ago, only 66% say they formally test 61% or more of their AI/ML systems. This is not sustainable.
“AI security and operations roadblocks remain, net hiring is growing, and real business value is being found in upskilling current teams.”
Still, says Clyde Seepersad, Senior VP and General Manager for Education at the Linux Foundation, in a statement accompanying the report, “AI security and operations roadblocks remain, net hiring is growing, and real business value is being found in upskilling current teams.”
AI is growing tech jobs
This hiring trend, Seepersad observes, stands in stark contrast with the popular narrative that AI is killing off technical jobs. The reports find that, rather than driving layoffs, AI is accelerating demand for technical talent and even boosting opportunities in entry-level roles.
Organizations looking back on 2025 now report net hiring effects of 26%, five percentage points higher than they had originally predicted. For 2026, net hiring is projected at 31%, eight points above previous expectations. Entry-level IT roles, often assumed to be most at risk from automation, are expected to see net hiring increase by 8%, two points higher than last year’s report.
The hiring uptick is broad-based across technical disciplines. Software development roles are up 28%, technical management 22%, IT operations 17%, and QA and testing 16% relative to the previous year’s survey. Rather than replacing staff, AI appears to be reshaping and expanding technical teams, especially in organizations seeking to build the security and operational maturity needed to support AI at scale.
Upskilling outperforms hiring
Even as they hire, though, organizations are leaning heavily on internal upskilling. Done right, the Linux Foundation contends, this is a strategic advantage. According to the report, upskilling outperforms hiring across all surveyed dimensions: organizations report a 7.9x advantage in business context, 7.7x in staff retention, 7.3x in team cohesion, 5x in total cost, and 3.5x in quality of work when they develop skills internally rather than relying solely on external hires.
Seepersad points to broader HR data to underscore the economics of this approach. “Gallup found that the up-front cost of replacing technical professionals is typically 80% of their salary. Coupled with the very real ROI that comes with a team member learning a new skill, I foresee upskilling programs as intrinsically linked to how well teams will thrive once AI hits saturation in the workforce.” Therefore, “The business impact of upskilling and cross-skilling cannot be understated.”
The winners of the AI era will be organizations that treat security readiness and continuous learning as central to their AI strategy, rather than afterthoughts once the models are already in production.
What also cannot be overstated, however, is that businesses are still lagging in AI security. With nearly every organization committing to AI implementation, and more than half acknowledging serious gaps in security, operations, and monitoring, the real AI bottleneck going forward is human and organizational capability, not algorithmic innovation.
Ultimately, the report concludes, AI’s positive impact will depend on whether companies can secure their systems and leverage the institutional knowledge of an empowered, upskilled workforce. Therefore, the winners of the AI era will be organizations that treat security readiness and continuous learning as central to their AI strategy, rather than afterthoughts once the models are already in production.