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Showing posts with label Emerging tech news. Show all posts

OpenAI’s Evolving Mission: A Shift from Safety to Profit?

 

Now under scrutiny, OpenAI - known for creating ChatGPT - has quietly adjusted its guiding purpose. Its 2023 vision once stressed developing artificial intelligence to benefit people without limits imposed by profit goals, specifically stating "safely benefits humanity." Yet late findings in a November 2025 tax filing for the prior year show that "safely" no longer appears. This edit arrives alongside structural shifts toward revenue-driven operations. Though small in wording, the change feeds debate over long-term priorities. While finances now shape direction more openly, questions grow about earlier promises. Notably absent is any public explanation for dropping the term tied to caution. Instead, emphasis moves elsewhere. What remains clear: intent may have shifted beneath the surface. Whether oversight follows such changes stays uncertain. 

This shift has escaped widespread media attention, yet it matters deeply - particularly while OpenAI contends with legal actions charging emotional manipulation, fatalities, and careless design flaws. Rather than downplay the issue, specialists in charitable governance see the silence as telling, suggesting financial motives may now outweigh user well-being. What unfolds here offers insight into public oversight of influential groups that can shape lives for better or worse. 

What began in 2015 as a nonprofit effort aimed at serving the public good slowly shifted course due to rising costs tied to building advanced AI systems. By 2019, financial demands prompted the launch of a for-profit arm under the direction of chief executive Sam Altman. That change opened doors - Microsoft alone had committed more than USD 13 billion by 2024 through repeated backing. Additional capital injections followed, nudging the organization steadily toward standard commercial frameworks. In October 2025, a formal separation took shape: one part remained a nonprofit entity named OpenAI Foundation, while operations moved into a new corporate body called OpenAI Group. Though this group operates as a public benefit corporation required to weigh wider social impacts, how those duties are interpreted and shared depends entirely on decisions made behind closed doors by its governing board. 

Not long ago, the mission changed - now it says “to ensure that artificial general intelligence benefits all of humanity.” Gone are the promises to do so safely and without limits tied to profit. Some see this edit as clear evidence of growing focus on revenue over caution. Even though safety still appears on OpenAI’s public site, cutting it from core texts feels telling. Oversight becomes harder when governance lines blur between parts of the organization. Just a fraction of ownership remains with the Foundation - around 25% of shares in the Group. That marks a sharp drop from earlier authority levels. With many leaders sitting on both boards at once, impartial review grows unlikely. Doubts surface about how much power the safety committee actually has under these conditions.

Business and IT Leaders Diverge on Cloud and Security Priorities

 

Enterprises are preparing to expand their cloud investments, even as many remain dissatisfied with the financial returns of recent technology deployments, according to a new report from Unisys. The study, which surveyed 1,000 C-suite and IT executives across eight global markets, highlights a widening disconnect between business leaders and technology teams on priorities for cloud, AI, and security. 

Less than half of the 300 business executives surveyed said they were pleased with the return on investment from cloud, automation, and generative AI projects. 

Still, more than 75% of respondents said their organizations intend to increase cloud spending this year. 

Unisys suggests this optimism may be undermined by outdated systems and processes. 

“Organizations are still operating on outdated foundations and processes,” said Manju Naglapur, SVP and GM for cloud, applications, and infrastructure at Unisys. 

To unlock true value, he added, companies must modernize infrastructure, align IT and business priorities, and adopt proactive cybersecurity strategies. 

Misaligned Views on AI and Security 

The report found sharp differences in how IT and business executives perceive progress. More than two in five business leaders said their companies had made strong advances in AI pilots, while fewer than a third of IT leaders agreed. Concerns over readiness to support AI workloads also surfaced, with over 40% of IT leaders saying their current infrastructure cannot handle the demands of data-intensive AI systems. Security perceptions diverged even further. 

Nearly two-thirds of business executives described rigid or outdated security frameworks as barriers to innovation and data sharing. Only about a third of IT leaders shared that view. 

The Cost of a Reactive Approach 

Despite differences, executives largely agreed that cybersecurity strategies remain too reactive. Almost 90% said their organizations are prepared to respond to attacks once they occur, but lack a robust framework to prevent them. 

The stakes are high. More than two in five companies reported that IT outages can cost as much as $500,000 per hour in unplanned downtime. “The next wave of technological disruption is already underway,” Naglapur noted, “yet many organizations are still relying on outdated foundations.”

Generative AI in Cybersecurity: A Double-Edged Sword

Generative AI (GenAI) is transforming the cybersecurity landscape, with 52% of CISOs prioritizing innovation using emerging technologies. However, a significant disconnect exists, as only 33% of board members view these technologies as a top priority. This gap underscores the challenge of aligning strategic priorities between cybersecurity leaders and company boards.

The Role of AI in Cybersecurity

According to the latest Splunk CISO Report, cyberattacks are becoming more frequent and sophisticated. Yet, 41% of security leaders believe that the requirements for protection are becoming easier to manage, thanks to advancements in AI. Many CISOs are increasingly relying on AI to:

  • Identify risks (39%)
  • Analyze threat intelligence (39%)
  • Detect and prioritize threats (35%)

However, GenAI is a double-edged sword. While it enhances threat detection and protection, attackers are also leveraging AI to boost their efforts. For instance:

  • 32% of attackers use AI to make attacks more effective.
  • 28% use AI to increase the volume of attacks.
  • 23% use AI to develop entirely new types of threats.

This has led to growing concerns among security professionals, with 36% of CISOs citing AI-powered attacks as their biggest worry, followed by cyber extortion (24%) and data breaches (23%).

Challenges and Opportunities in Cybersecurity

One of the major challenges is the gap in budget expectations. Only 29% of CISOs feel they have sufficient funding to secure their organizations, compared to 41% of board members who believe their budgets are adequate. Additionally, 64% of CISOs attribute the cyberattacks their firms experience to a lack of support.

Despite these challenges, there is hope. A vast majority of cybersecurity experts (86%) believe that AI can help attract entry-level talent to address the skills shortage, while 65% say AI enables seasoned professionals to work more productively. Collaboration between security teams and other departments is also improving:

  • 91% of organizations are increasing security training for legal and compliance staff.
  • 90% are enhancing training for security teams.

To strengthen cyber defenses, experts emphasize the importance of foundational practices:

  1. Strong Passwords and MFA: Poor password security is linked to 80% of data breaches. Companies are encouraged to use password managers and enforce robust password policies.
  2. Regular Cybersecurity Training: Educating employees on risk management and security practices, such as using antivirus software and maintaining firewalls, can significantly reduce vulnerabilities.
  3. Third-Party Vendor Assessments: Organizations must evaluate third-party vendors for security risks, as breaches through these channels can expose even the most secure systems.

Generative AI is reshaping the cybersecurity landscape, offering both opportunities and challenges. While it enhances threat detection and operational efficiency, it also empowers attackers to launch more sophisticated and frequent attacks. To navigate this evolving landscape, organizations must align strategic priorities, invest in AI-driven solutions, and reinforce foundational cybersecurity practices. By doing so, they can better protect their systems and data in an increasingly complex threat environment.