ISACA Marks 50th Anniversary by Surveying 5,000+ Tech Pros on the Next Decade of Tech
The evolving relationship between artificial intelligence, automation and humans is expected to create promising opportunities in the tech workforce while simultaneously presenting sobering concerns for the general public, according to new ISACA research sizing up the tech landscape of the 2020s.
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From a workplace standpoint, respondents are optimistic that technological sea changes will both position their organizations for success and bolster their paychecks:
- Nearly 9 in 10 respondents (87%) say AI/machine learning will have a major or moderate impact on enterprises’ profitability.
- Fifty-eight percent expect that the evolving technology landscape will result in pay increases for tech professionals.
Most technology roles are expected to be recalibrated by AI and increased integration of technology in the workplace, with 93% of respondents expecting an augmented workforce—or people, robots and AI working closely together—to reshape how some or most jobs are performed.
“The pace of technology-driven change will continue to accelerate, so it’s more important than ever to be always learning,” said ISACA CEO David Samuelson. “Both as individuals and in our companies, we will need new skills and frameworks to be equipped to navigate the inevitable change ahead. As the next decade quickly approaches, our human potential, combined with these advancing technologies, will ensure an era of positive technology breakthroughs, and a future where we all thrive.”
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AI’s Potential Pitfalls Counterbalance Enthusiasm
While AI/machine learning is identified as the most important enterprise technology of the next decade, followed by cloud platforms and big data, only 50% of respondents think it is likely or very likely enterprises will give the ethical ramifications of AI deployments sufficient attention.
Whether through malicious or errant uses of AI, the potential consequences of misuse could be severe, with respondents most concerned about AI attacks involving:
- Critical infrastructure (73%)
- Social engineering (58%)
- Autonomous weapons (56%)
- Attacks targeting the healthcare sector (56%)
- Data poisoning (55%)
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